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Teresa Carlson, Flexport | International Women's Day


 

(upbeat intro music) >> Hello everyone. Welcome to theCUBE's coverage of International Women's Day. I'm your host, John Furrier, here in Palo Alto, California. Got a special remote guest coming in. Teresa Carlson, President and Chief Commercial Officer at Flexport, theCUBE alumni, one of the first, let me go back to 2013, Teresa, former AWS. Great to see you. Thanks for coming on. >> Oh my gosh, almost 10 years. That is unbelievable. It's hard to believe so many years of theCUBE. I love it. >> It's been such a great honor to interview you and follow your career. You've had quite the impressive run, executive level woman in tech. You've done such an amazing job, not only in your career, but also helping other women. So I want to give you props to that before we get started. Thank you. >> Thank you, John. I, it's my, it's been my honor and privilege. >> Let's talk about Flexport. Tell us about your new role there and what it's all about. >> Well, I love it. I'm back working with another Amazonian, Dave Clark, who is our CEO of Flexport, and we are about 3,000 people strong globally in over 90 countries. We actually even have, we're represented in over 160 cities and with local governments and places around the world, which I think is super exciting. We have over 100 network partners and growing, and we are about empowering the global supply chain and trade and doing it in a very disruptive way with the use of platform technology that allows our customers to really have visibility and insight to what's going on. And it's a lot of fun. I'm learning new things, but there's a lot of technology in this as well, so I feel right at home. >> You quite have a knack from mastering growth, technology, and building out companies. So congratulations, and scaling them up too with the systems and processes. So I want to get into that. Let's get into your personal background. Then I want to get into the work you've done and are doing for empowering women in tech. What was your journey about, how did it all start? Like, I know you had a, you know, bumped into it, you went Microsoft, AWS. Take us through your career, how you got into tech, how it all happened. >> Well, I do like to give a shout out, John, to my roots and heritage, which was a speech and language pathologist. So I did start out in healthcare right out of, you know, university. I had an undergraduate and a master's degree. And I do tell everyone now, looking back at my career, I think it was super helpful for me because I learned a lot about human communication, and it has done me very well over the years to really try to understand what environments I'm in and what kind of individuals around the world culturally. So I'm really blessed that I had that opportunity to work in healthcare, and by the way, a shout out to all of our healthcare workers that has helped us get through almost three years of COVID and flu and neurovirus and everything else. So started out there and then kind of almost accidentally got into technology. My first small company I worked for was a company called Keyfile Corporation, which did workflow and document management out of Nashua, New Hampshire. And they were a Microsoft goal partner. And that is actually how I got into big tech world. We ran on exchange, for everybody who knows that term exchange, and we were a large small partner, but large in the world of exchange. And those were the days when you would, the late nineties, you would go and be in the same room with Bill Gates and Steve Ballmer. And I really fell in love with Microsoft back then. I thought to myself, wow, if I could work for a big tech company, I got to hear Bill on stage about saving, he would talk about saving the world. And guess what my next step was? I actually got a job at Microsoft, took a pay cut and a job downgrade. I tell this story all the time. Took like three downgrades in my role. I had been a SVP and went to a manager, and it's one of the best moves I ever made. And I shared that because I really didn't know the world of big tech, and I had to start from the ground up and relearn it. I did that, I just really loved that job. I was at Microsoft from 2000 to 2010, where I eventually ran all of the U.S. federal government business, which was a multi-billion dollar business. And then I had the great privilege of meeting an amazing man, Andy Jassy, who I thought was just unbelievable in his insights and knowledge and openness to understanding new markets. And we talked about government and how government needed the same great technology as every startup. And that led to me going to work for Andy in 2010 and starting up our worldwide public sector business. And I pinch myself some days because we went from two people, no offices, to the time I left we had over 10,000 people, billions in revenue, and 172 countries and had done really amazing work. I think changing the way public sector and government globally really thought about their use of technology and Cloud computing in general. And that kind of has been my career. You know, I was there till 2020, 21 and then did a small stint at Splunk, a small stint back at Microsoft doing a couple projects for Microsoft with CEO, Satya Nadella, who is also an another amazing CEO and leader. And then Dave called me, and I'm at Flexport, so I couldn't be more honored, John. I've just had such an amazing career working with amazing individuals. >> Yeah, I got to say the Amazon One well-documented, certainly by theCUBE and our coverage. We watched you rise and scale that thing. And like I said at a time, this will when we look back as a historic run because of the build out. I mean as a zero to massive billions at a historic time where government was transforming, I would say Microsoft had a good run there with Fed, but it was already established stuff. Federal business was like, you know, blocking and tackling. The Amazon was pure build out. So I have to ask you, what was your big learnings? Because one, you're a Seattle big tech company kind of entrepreneurial in the sense of you got, here's some working capital seed finance and go build that thing, and you're in DC and you're a woman. What did you learn? >> I learned that you really have to have a lot of grit. You, my mom and dad, these are kind of more southern roots words, but stick with itness, you know. you can't give up and no's not in your vocabulary. I found no is just another way to get to yes. That you have to figure out what are all the questions people are going to ask you. I learned to be very patient, and I think one of the things John, for us was our secret sauce was we said to ourselves, if we're going to do something super transformative and truly disruptive, like Cloud computing, which the government really had not utilized, we had to be patient. We had to answer all their questions, and we could not judge in any way what they were thinking because if we couldn't answer all those questions and prove out the capabilities of Cloud computing, we were not going to accomplish our goals. And I do give so much credit to all my colleagues there from everybody like Steve Schmidt who was there, who's still there, who's the CISO, and Charlie Bell and Peter DeSantis and the entire team there that just really helped build that business out. Without them, you know, we would've just, it was a team effort. And I think that's the thing I loved about it was it was not just sales, it was product, it was development, it was data center operations, it was legal, finance. Everybody really worked as a team and we were on board that we had to make a lot of changes in the government relations team. We had to go into Capitol Hill. We had to talk to them about the changes that were required and really get them to understand why Cloud computing could be such a transformative game changer for the way government operates globally. >> Well, I think the whole world and the tech world can appreciate your work and thank you later because you broke down those walls asking those questions. So great stuff. Now I got to say, you're in kind of a similar role at Flexport. Again, transformative supply chain, not new. Computing wasn't new when before Cloud came. Supply chain, not a new concept, is undergoing radical change and transformation. Online, software supply chain, hardware supply chain, supply chain in general, shipping. This is a big part of our economy and how life is working. Similar kind of thing going on, build out, growth, scale. >> It is, it's very much like that, John, I would say, it's, it's kind of a, the model with freight forwarding and supply chain is fairly, it's not as, there's a lot of technology utilized in this global supply chain world, but it's not integrated. You don't have a common operating picture of what you're doing in your global supply chain. You don't have easy access to the information and visibility. And that's really, you know, I was at a conference last week in LA, and it was, the themes were so similar about transparency, access to data and information, being able to act quickly, drive change, know what was happening. I was like, wow, this sounds familiar. Data, AI, machine learning, visibility, common operating picture. So it is very much the same kind of themes that you heard even with government. I do believe it's an industry that is going through transformation and Flexport has been a group that's come in and said, look, we have this amazing idea, number one to give access to everyone. We want every small business to every large business to every government around the world to be able to trade their goods, think about supply chain logistics in a very different way with information they need and want at their fingertips. So that's kind of thing one, but to apply that technology in a way that's very usable across all systems from an integration perspective. So it's kind of exciting. I used to tell this story years ago, John, and I don't think Michael Dell would mind that I tell this story. One of our first customers when I was at Keyfile Corporation was we did workflow and document management, and Dell was one of our customers. And I remember going out to visit them, and they had runners and they would run around, you know, they would run around the floor and do their orders, right, to get all those computers out the door. And when I think of global trade, in my mind I still see runners, you know, running around and I think that's moved to a very digital, right, world that all this stuff, you don't need people doing this. You have machines doing this now, and you have access to the information, and you know, we still have issues resulting from COVID where we have either an under-abundance or an over-abundance of our supply chain. We still have clogs in our shipping, in the shipping yards around the world. So we, and the ports, so we need to also, we still have some clearing to do. And that's the reason technology is important and will continue to be very important in this world of global trade. >> Yeah, great, great impact for change. I got to ask you about Flexport's inclusion, diversity, and equity programs. What do you got going on there? That's been a big conversation in the industry around keeping a focus on not making one way more than the other, but clearly every company, if they don't have a strong program, will be at a disadvantage. That's well reported by McKinsey and other top consultants, diverse workforces, inclusive, equitable, all perform better. What's Flexport's strategy and how are you guys supporting that in the workplace? >> Well, let me just start by saying really at the core of who I am, since the day I've started understanding that as an individual and a female leader, that I could have an impact. That the words I used, the actions I took, the information that I pulled together and had knowledge of could be meaningful. And I think each and every one of us is responsible to do what we can to make our workplace and the world a more diverse and inclusive place to live and work. And I've always enjoyed kind of the thought that, that I could help empower women around the world in the tech industry. Now I'm hoping to do my little part, John, in that in the supply chain and global trade business. And I would tell you at Flexport we have some amazing women. I'm so excited to get to know all. I've not been there that long yet, but I'm getting to know we have some, we have a very diverse leadership team between men and women at Dave's level. I have some unbelievable women on my team directly that I'm getting to know more, and I'm so impressed with what they're doing. And this is a very, you know, while this industry is different than the world I live in day to day, it's also has a lot of common themes to it. So, you know, for us, we're trying to approach every day by saying, let's make sure both our interviewing cycles, the jobs we feel, how we recruit people, how we put people out there on the platforms, that we have diversity and inclusion and all of that every day. And I can tell you from the top, from Dave and all of our leaders, we just had an offsite and we had a big conversation about this is something. It's a drum beat that we have to think about and live by every day and really check ourselves on a regular basis. But I do think there's so much more room for women in the world to do great things. And one of the, one of the areas, as you know very well, we lost a lot of women during COVID, who just left the workforce again. So we kind of went back unfortunately. So we have to now move forward and make sure that we are giving women the opportunity to have great jobs, have the flexibility they need as they build a family, and have a workplace environment that is trusted for them to come into every day. >> There's now clear visibility, at least in today's world, not withstanding some of the setbacks from COVID, that a young girl can look out in a company and see a path from entry level to the boardroom. That's a big change. A lot than even going back 10, 15, 20 years ago. What's your advice to the folks out there that are paying it forward? You see a lot of executive leaderships have a seat at the table. The board still underrepresented by most numbers, but at least you have now kind of this solidarity at the top, but a lot of people doing a lot more now than I've seen at the next levels down. So now you have this leveled approach. Is that something that you're seeing more of? And credit compare and contrast that to 20 years ago when you were, you know, rising through the ranks? What's different? >> Well, one of the main things, and I honestly do not think about it too much, but there were really no women. There were none. When I showed up in the meetings, I literally, it was me or not me at the table, but at the seat behind the table. The women just weren't in the room, and there were so many more barriers that we had to push through, and that has changed a lot. I mean globally that has changed a lot in the U.S. You know, if you look at just our U.S. House of Representatives and our U.S. Senate, we now have the increasing number of women. Even at leadership levels, you're seeing that change. You have a lot more women on boards than we ever thought we would ever represent. While we are not there, more female CEOs that I get an opportunity to see and talk to. Women starting companies, they do not see the barriers. And I will share, John, globally in the U.S. one of the things that I still see that we have that many other countries don't have, which I'm very proud of, women in the U.S. have a spirit about them that they just don't see the barriers in the same way. They believe that they can accomplish anything. I have two sons, I don't have daughters. I have nieces, and I'm hoping someday to have granddaughters. But I know that a lot of my friends who have granddaughters today talk about the boldness, the fortitude, that they believe that there's nothing they can't accomplish. And I think that's what what we have to instill in every little girl out there, that they can accomplish anything they want to. The world is theirs, and we need to not just do that in the U.S., but around the world. And it was always the thing that struck me when I did all my travels at AWS and now with Flexport, I'm traveling again quite a bit, is just the differences you see in the cultures around the world. And I remember even in the Middle East, how I started seeing it change. You've heard me talk a lot on this program about the fact in both Saudi and Bahrain, over 60% of the tech workers were females and most of them held the the hardest jobs, the security, the architecture, the engineering. But many of them did not hold leadership roles. And that is what we've got to change too. To your point, the middle, we want it to get bigger, but the top, we need to get bigger. We need to make sure women globally have opportunities to hold the most precious leadership roles and demonstrate their capabilities at the very top. But that's changed. And I would say the biggest difference is when we show up, we're actually evaluated properly for those kind of roles. We have a ways to go. But again, that part is really changing. >> Can you share, Teresa, first of all, that's great work you've done and I wan to give you props of that as well and all the work you do. I know you champion a lot of, you know, causes in in this area. One question that comes up a lot, I would love to get your opinion 'cause I think you can contribute heavily here is mentoring and sponsorship is huge, comes up all the time. What advice would you share to folks out there who were, I won't say apprehensive, but maybe nervous about how to do the networking and sponsorship and mentoring? It's not just mentoring, it's sponsorship too. What's your best practice? What advice would you give for the best way to handle that? >> Well yeah, and for the women out there, I would say on the mentorship side, I still see mentorship. Like, I don't think you can ever stop having mentorship. And I like to look at my mentors in different parts of my life because if you want to be a well-rounded person, you may have parts of your life every day that you think I'm doing a great job here and I definitely would like to do better there. Whether it's your spiritual life, your physical life, your work life, you know, your leisure life. But I mean there's, and there's parts of my leadership world that I still seek advice from as I try to do new things even in this world. And I tried some new things in between roles. I went out and asked the people that I respected the most. So I just would say for sure have different mentorships and don't be afraid to have that diversity. But if you have mentorships, the second important thing is show up with a real agenda and questions. Don't waste people's time. I'm very sensitive today. If you're, if you want a mentor, you show up and you use your time super effectively and be prepared for that. Sponsorship is a very different thing. And I don't believe we actually do that still in companies. We worked, thank goodness for my great HR team. When I was at AWS, we worked on a few sponsorship programs where for diversity in general, where we would nominate individuals in the company that we felt that weren't, that had a lot of opportunity for growth, but they just weren't getting a seat at the table. And we brought 'em to the table. And we actually kind of had a Chatham House rules where when they came into the meetings, they had a sponsor, not a mentor. They had a sponsor that was with them the full 18 months of this program. We would bring 'em into executive meetings. They would read docs, they could ask questions. We wanted them to be able to open up and ask crazy questions without, you know, feeling wow, I just couldn't answer this question in a normal environment or setting. And then we tried to make sure once they got through the program that we found jobs and support and other special projects that they could go do. But they still had that sponsor and that group of individuals that they'd gone through the program with, John, that they could keep going back to. And I remember sitting there and they asked me what I wanted to get out of the program, and I said two things. I want you to leave this program and say to yourself, I would've never had that experience if I hadn't gone through this program. I learned so much in 18 months. It would probably taken me five years to learn. And that it helped them in their career. The second thing I told them is I wanted them to go out and recruit individuals that look like them. I said, we need diversity, and unless you all feel that we are in an inclusive environment sponsoring all types of individuals to be part of this company, we're not going to get the job done. And they said, okay. And you know, but it was really one, it was very much about them. That we took a group of individuals that had high potential and a very diverse with diverse backgrounds, held 'em up, taught 'em things that gave them access. And two, selfishly I said, I want more of you in my business. Please help me. And I think those kind of things are helpful, and you have to be thoughtful about these kind of programs. And to me that's more sponsorship. I still have people reach out to me from years ago, you know, Microsoft saying, you were so good with me, can you give me a reference now? Can you talk to me about what I should be doing? And I try to, I'm not pray 100%, some things pray fall through the cracks, but I always try to make the time to talk to those individuals because for me, I am where I am today because I got some of the best advice from people like Don Byrne and Linda Zecker and Andy Jassy, who were very honest and upfront with me about my career. >> Awesome. Well, you got a passion for empowering women in tech, paying it forward, but you're quite accomplished and that's why we're so glad to have you on the program here. President and Chief Commercial Officer at Flexport. Obviously storied career and your other jobs, specifically Amazon I think, is historic in my mind. This next chapter looks like it's looking good right now. Final question for you, for the few minutes you have left. Tell us what you're up to at Flexport. What's your goals as President, Chief Commercial Officer? What are you trying to accomplish? Share a little bit, what's on your mind with your current job? >> Well, you kind of said it earlier. I think if I look at my own superpowers, I love customers, I love partners. I get my energy, John, from those interactions. So one is to come in and really help us build even a better world class enterprise global sales and marketing team. Really listen to our customers, think about how we interact with them, build the best executive programs we can, think about new ways that we can offer services to them and create new services. One of my favorite things about my career is I think if you're a business leader, it's your job to come back around and tell your product group and your services org what you're hearing from customers. That's how you can be so much more impactful, that you listen, you learn, and you deliver. So that's one big job. The second job for me, which I am so excited about, is that I have an amazing group called flexport.org under me. And flexport.org is doing amazing things around the world to help those in need. We just announced this new funding program for Tech for Refugees, which brings assistance to millions of people in Ukraine, Pakistan, the horn of Africa, and those who are affected by earthquakes. We just took supplies into Turkey and Syria, and Flexport, recently in fact, just did sent three air shipments to Turkey and Syria for these. And I think we did over a hundred trekking shipments to get earthquake relief. And as you can imagine, it was not easy to get into Syria. But you know, we're very active in the Ukraine, and we are, our goal for flexport.org, John, is to continue to work with our commercial customers and team up with them when they're trying to get supplies in to do that in a very cost effective, easy way, as quickly as we can. So that not-for-profit side of me that I'm so, I'm so happy. And you know, Ryan Peterson, who was our founder, this was his brainchild, and he's really taken this to the next level. So I'm honored to be able to pick that up and look for new ways to have impact around the world. And you know, I've always found that I think if you do things right with a company, you can have a beautiful combination of commercial-ity and giving. And I think Flexport does it in such an amazing and unique way. >> Well, the impact that they have with their system and their technology with logistics and shipping and supply chain is a channel for societal change. And I think that's a huge gift that you have that under your purview. So looking forward to finding out more about flexport.org. I can only imagine all the exciting things around sustainability, and we just had Mobile World Congress for Big Cube Broadcast, 5Gs right around the corner. I'm sure that's going to have a huge impact to your business. >> Well, for sure. And just on gas emissions, that's another thing that we are tracking gas, greenhouse gas emissions. And in fact we've already reduced more than 300,000 tons and supported over 600 organizations doing that. So that's a thing we're also trying to make sure that we're being climate aware and ensuring that we are doing the best job we can at that as well. And that was another thing I was honored to be able to do when we were at AWS, is to really cut out greenhouse gas emissions and really go global with our climate initiatives. >> Well Teresa, it's great to have you on. Security, data, 5G, sustainability, business transformation, AI all coming together to change the game. You're in another hot seat, hot roll, big wave. >> Well, John, it's an honor, and just thank you again for doing this and having women on and really representing us in a big way as we celebrate International Women's Day. >> I really appreciate it, it's super important. And these videos have impact, so we're going to do a lot more. And I appreciate your leadership to the industry and thank you so much for taking the time to contribute to our effort. Thank you, Teresa. >> Thank you. Thanks everybody. >> Teresa Carlson, the President and Chief Commercial Officer of Flexport. I'm John Furrier, host of theCUBE. This is International Women's Day broadcast. Thanks for watching. (upbeat outro music)

Published Date : Mar 6 2023

SUMMARY :

and Chief Commercial Officer It's hard to believe so honor to interview you I, it's my, it's been Tell us about your new role and insight to what's going on. and are doing for And that led to me going in the sense of you got, I learned that you really Now I got to say, you're in kind of And I remember going out to visit them, I got to ask you about And I would tell you at Flexport to 20 years ago when you were, you know, And I remember even in the Middle East, I know you champion a lot of, you know, And I like to look at my to have you on the program here. And I think we did over a I can only imagine all the exciting things And that was another thing I Well Teresa, it's great to have you on. and just thank you again for and thank you so much for taking the time Thank you. and Chief Commercial Officer of Flexport.

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John Purcell, DoiT International & Danislav Penev, INFINOX Global | AWS re:Invent 2022


 

>>Hello friends and welcome back to Fabulous Las Vegas, Nevada, where we are live from the show floor at AWS Reinvent. My name is Savannah Peterson, joined by my fabulous co-host John Furrier. John, how was your lunch? >>My lunch was great. Wasn't very complex like it is today, so it was very easy, >>Appropriate for the conversation we're about >>To have. Great, great guests coming up Cube alumni and great question around complexity and how is wellbeing teams be good? >>Yes. And, and and on that note, let's welcome John from DeWit as well as Danny from Inox. I swear I'll be able to say that right by the end of this. Thank you guys so much for being here. How's the show going for you? >>Excellent so far. It's been a great, a great event. You know, back back to pre Covid days, >>You're still smiling day three. That's an awesome sign. John, what about you? >>Fantastic. It's, it's been busier than ever >>That that's exciting. I, I think we certainly feel that way here on the cube. We're doing dozens of videos, it's absolutely awesome. Just in case. So we can dig in a little deeper throughout the rest of the segment just in case the audience isn't familiar, let's get them acquainted with your companies. Let's start with do it John. >>Yeah, thanks Savannah. So do it as a global technology company and we're partnering with deleted cloud providers around the world and digital native companies to provide value and solve complexity. John, to your, to your introductory point with all of the complexities associated with operating in the cloud, scaling a business in the cloud, a lot of companies are just looking to sort of have somebody else take care of that problem for them or have somebody they can call when they run into, you know, into problems scaling. And so with a combination of tech, advanced technology, some of the best cloud experts in the world and unlimited tech support or we're offloading a lot of those problems for our customers and we're doing that on a global basis. So it's, it's an exciting time. >>I can imagine pretty much everyone here on the show floor is dealing with that challenge of complexity. So a couple customers for you in the house. What about you Danny? >>I, I come from a company which operates in a financial industry market. So we essentially a global broker, financial trading broker. Which what this means for those people who don't really understand, essentially we allow clients to be able to trade digitally and speculate with different pricing, pricing tools online. We offer a different products for different type of clients. We have institutional clients, we've got our affiliates, partners programs and we've got a retail clients and this is where AWS and Doit comes handy allows us to offer our products digitally across the globe. And one of the key values for us here is that we can actually offer a product in regions where other people don't. So for example, we don't compete in North America, we don't compete in EME in Europe, but we just do it in AWS to solve our complex challenges in regions that naturally by, depending on where they base, they have like issues and that's how we deliver our product. >>And which regions, Latin >>America, Latin, the entire Africa, subcontinent, middle East, southeast Asia, the culture is just demographic is different. And what you used to have here is not exactly what you have over there. And obviously that brings a lot of challenges with onboarding and clients, deposit, trading activities, CDN latency, all of >>That stuff. It's interesting how each region's different in their, their posture with the cloud. Someone roll their own, someone outta the box. So again, this brings up this theme this year guys, which is about end to end seeing purpose built like specialty solutions. A lot of solutions going end to end with data makes kind of makes it more complicated. So again, we got more complexity coming, but the greatest the cloud is, you can abstract that away. So we are seeing this is a big opportunity for partners to innovate. You're seeing a lot of joint engineering, a lot more complexities coming still, but still end to end is the end game so to speak. >>A absolutely John, I mean one, one of the sort of ways we describe what we try to do for our customers like Equinox is to be your co-pilot in the cloud, which essentially means, you know, >>What an apt analogy. >>I think so, yeah, >>Well, well >>Done there. I think it works. Yvanna. Yeah, so, so as I mentioned, these are the majority or almost all of our customers are pretty sophisticated tech savvy companies. So they don't, you know, they know for most, for the most part what they're trying to achieve. They're approaching scale, they're at scale or they're, or they're through that scale point and they, they just wanna have somebody they can call, right? They need technology to help abstract away the complex problem. So they're not doing so much manual cloud operational work or sometimes they just need help picking the next tech right to solve the end to end use case that that they're, that they're dealing with >>In business. And Danny, you're rolling out solutions so you're on, you're on the front lines, you gotta make it easier. You didn't want to get in the weeds on something that should be taken care of. >>Correct. I mean one of the reasons we go do it is you need to, in order to involve do it, you need to know your problems, understand your challenges, also like a self review only. And you have to be one way halfway through the cloud journey. You need to know your problems, what you want to achieve, where you want to end up a roadmap for the next five years, what you want to achieve. Are we fixing or developing a building? And then involve those guys to come and help you because they cannot just come with magic one and fix all your problems. You need to do that yourself. It's not like starting the journey by yourself. >>Yeah. One thing that's not played up in this event, I will say they may, I don't, they missed, maybe Verner will hit it tomorrow, but I think they kind of missed it a little bit. But the developer productivity's been a big issue. We've seen that this year. One of the big themes on the cube is developer productivity, more velocity on the development side to keep pace with what's on, what solutions are rolling out the customers. And the other one is skills gap. So, and people like, and people have old skills, like we see VMware being bought by Broadcom for instance, got a lot of IT operators at VMware, they gotta go cloud somewhere. So you got new talent, existing talent, skill gaps, people are comfortable, yet the new stuff's there, developers gotta be more productive. How do you guys see that? Cuz that's gonna be how that plays now, it's gonna impact the channel, the partnership relationship, your ability to deliver. >>What's your reaction to that first? Well I think we obviously have a tech savvy team. We've got developers, we've got dev, we've got infrastructure guys, but we only got so much resource that we can afford. And essentially by evolving due it, I've doubled our staff. So we got a tech savvy senior solution architects which comes to do the sexy stuff, actually develop and design a new better offering, better product that makes us competitive. And this is where we involved, essentially we use the due IT staff as an staff employees that our demand is richly army of qualified people. We can actually cherry pick who we want for the call to do X, Y, and Z. And they're there to, to support you. We just have to ask for help. And this is how we fill our gap from technical skills or budget constrained within, you know, within recruitment. >>And I think, I think what, what Danny is touching on, John, what you mentioned is, is really the, the sort of the core family principle of the company, right? It's hard enough for companies like Equinox to hire staff that can help them build their business and deliver the value proposition that they're, that they see, right? And so our reason for existence is to sort of take care of the rest, right? We can help, you know, operate your cloud, show you the most effective way to do that. Whether they're finops problems, whether they're DevOps problems, whether dev SEC ops problems, all of these sort of classic operational problems that get 'em the way of the core business mission. You're not in the business of running the cloud, you're in the business of delivering customer value. We can help you, you know, manage your cloud >>And it's your job to do it. >>It is to do it >>Can, couldn't raise this upon there. How long have y'all been working together? >>I would say 15 months. We took, we took a bit of a conservative approach. We hope for the baseball, prepare for the worst. So I didn't trust do it. I give them one account, start with DEF U A C because you cannot, you just have to learn the journey yourself. So I think I would, my advice for clients is give it the six months. Once you establish a relationship, build a relationship, give them one by one start slowly. You actually understand by yourself the skills, the capacity that they have. And also the, for me consultants is really important And after that just opens up and we are now involving them. We've got new project, we've got problem statement. The first thing we do, we don't Google it, we just say do it. Log a ticket, we got the team. You're >>A verb. >>Yeah. So >>In this case we have >>The puns are on list here on the Cuban general. But with something like that, it's great. >>I gotta ask you a question cuz this is interesting John. You know, we talked last year on the cube and, and again this is an example of how innovations playing out. If you look at the announcements, Adam Celski did and then sw, he had 13 or so announcements. I won't say it's getting boring, but when you hear boring, boring is good. When you start getting into these, these gaps in the platforms as it grows. I won't say they was boring cause that really wasn't boring. I like the data >>Itself. It's all fascinating, John, >>But it, but it's a lot of gap filling, you know, 50 connectors you got, you know, yeah. All glue layers being built in AI's critical. The match cloud is there. What's the innovation? You got a lot of gaps being filled, boring is good. Like Kubernetes, we say there boring means, it's being invisible. That means it's going away. What's the exciting things from your perspective in cloud here? >>Well, I think, I mean, boring is an interesting word to use cuz a company with the heritage of AWS is constantly evolving. I mean, at the core of that company's culture is innovation, technology, development and innovation. And they're building for builders as, as you know, just as well as I do. Yeah. And so, but what we find across our customer base is that companies that are scaling or at scale are using maybe a smaller set of those services, but they're really leveraging them in interesting ways. And there is a very long tail of deeper, more sophisticated fit for purpose, more specific services. And Adam announced, you know, who knows him another 20 or 30 services and it's happening year after year after year. And I think one of the things that, that Danny might attest to is, I, I spoke about the reason we exist and the reason we form the company is we hold it very, a very critical part of our mission is to stay abreast of all of those developments as they emerge so that Danny and and his crew don't have to, right? And so when they have a, a, a question about SageMaker or they have a question about sort of the new big data service that Adam has announced, we take it very seriously. Our job is to be able to answer that question quickly and >>Accurately. And I notice your shirt, if you could just give a little shirt there, ops, cloud ops, DevOps do it. The intersection of the finance, the tuning is now we're hearing a lot of price performance, cost recovery, not cost recovery, but cost management. Yeah. Optimizing. So we're seeing building scale, but now, now tuning almost a craft, the craft of the cloud is here. What's your reaction to that? It, >>It absolutely is. And this is a story as old as the cloud, honestly. And companies, you know, they'll, they'll, companies tend to follow the same sort of maturity journey when they first start, whether they're migrating to the cloud or they were born in the cloud as most of our customers are. There's a, there's a, there's an, there's an access to visibility and understanding and optimization to tuning a craft to use your term. And, and cost management truly is a 10 year old problem that is as prevalent and relevant today as it was, you know, 10 years ago. And there's a lot of talk about the economics associated with the cloud and it's not, certainly not always cheaper to run. In fact, it rarely is cheaper to run your business from any of the public cloud providers. The key is to do it and right size it and make sure it's operating in accordance and alignment with your business, right? It's okay for cloud process to go up so long as your top line is also >>Selling your proportion. You spend more cloud to save cloud. That's it's >>Penny wise, pound full. It's always a little bit, always a little bit of a, of a >>Dilemma on, on the cost saving. We didn't want to just save money. If you want to save money, just shut down your services, right? So it's about making money. So this is where do it comes, like we actually start making, okay, we spend a bit more now, but in about six months time I will be making more money. And we've just did that. We roll out the new application for all the new product offering host to AWS fully with the guys support, a lot of long, boring, boring, boring calls, but they're productive because we actually now have a better product, competitive, it's tailored for our clients, it's cost effective. And we are actually making money >>When something's invisible. It's working, you know, talking about it means it's, it's, it's operational. >>It's exactly, it's, >>Well to that point, John, one of the things we're most proud of in, you know, know this year was, was the launch of our product we called Flex Save, which essentially does exactly what you've described. It's, it's looking for automation and, and, and, and automatic ways of, yes. Saving money, but offering the opportunities to, to to improve the economics associated with your cloud infrastructure. >>Yeah. And improving the efficiency across the board. A hundred percent. It, it's, oh, it's awesome. Let's, and, and it's, it's my understanding there's some reporting and insights that you're able to then translate through from do it to your CTO and across the company. Denny, what's that like? What do you get to see working >>With them? Well, the problem is, like the CTO asked me to do all of that. It is funny he thinks that he's doing it, but essentially they have a excellent portal that basically looks up all of our instances on the one place. You got like good analytics on your cost, cost, anomalies, budget, costal location. But I didn't want to do that either. So what I have done is taken the next step. I actually sold this to the, to my company completely. So my finance teams goes there, they do it themselves, they log in, check, check, all the billing, the costal location. I actually has zero iteration with them if I don't hear anything from them, which is one of the benefits. But also there is lot of other products like the Flexe is virtually like you just click a finger and you start saving money just like that. Easy >>Is that easy button we've been talking about on >>The show? Yeah, exactly, exactly how it is. But there is obviously outside of the cost management, you actually can look at what is the resource you using do actually need it, how often you use it, think about the long term goal, what you're trying to achieve, and use the analytics to, and actually I have to say the analytics much better than AWS in, in, in, in cmp. It's, it's just more user friendly, more interactive as opposed to, you know, building the one in aws. >>It's good business model. Make things easy for your customers. Easy, simple >>To use. >>It's gotta be nice to hear John. >>Well, so first of all, thank you daddy. >>We, we work, but in all seriousness, you know, we, we work, Danny mentioned the trust word earlier. This is at the core of if we don't, if we're not able to build trust with our clients, our business is dead. It, it just doesn't exist. It can't scale. In fact, it'll go the opposite direction. And so we're, we work very, very hard to earn that trust and we're willing to start small to Danny's example, start small and grow. And that's why we're very, one of the things we're most proud of is, is how few customers tend to leave us year over year. We have customers that have been with us for 10 years. >>You know, Andy, Jesse always has, I just saw an interview, he was on the New York Times event in New York today as a CEO of Amazon. But he's always said in these build out phases, you gotta work backwards from the customer and innovate on behalf of the customer. Cause that's the answer that will always be a good answer for the outcome versus optimizing for just profit, you know what I'm saying? Or other things. So we're still in build out mode, >>You know, as a, as a, as a core fundamental sort of product concept. If you're not solving important problems for our customer, what are you, why, why are you investing? It just >>Doesn't make it. This is the beauty we do it. We actually, they wait for you to come to do the next step. They don't sell me anything. They don't bug me with emails. They're ready. When you're ready to make that journey, you just log a ticket and then come and help you. And this is the beauty. You just, it's just not your, your journey. >>I love it. That's a, that's a beautiful note to lead us to our new tradition on the cube. We have a little bit of a challenge for the both of you. We're looking for your 32nd Instagram real thought leadership sizzle anecdote. Either one of you wanna go first. John looks a little nauseous. Danny, you wanna give it a go? >>Well, we've got a few expressions, but we don't Google it. We just do it. And the key take, that's what we do now at, at, and also what we do is actually using their stuff as an influence employees richly. Like that's what we do. >>Well done, well done. Didn't even need the 30 seconds. Fantastic work, Danny. I love that. All right, John, now you do have to go. Okay, >>I'll goodness. You know, I'll, I'll, I'll, I'll I'll go back to what I mentioned earlier, if that's okay. I think we, you know, we exist as a company to sort of help our customers get back to focusing on why they started the business in the first place, which is innovating and delivering value to customers. And we'll help you take care of the rest. It's as simple as that. Awesome. >>Well done. You absolutely nailed it. I wanna just acknowledge your fan club over there watching. Hello everyone from the doit team. Good job team. I love, it's very cute when guests show up with an entourage to the cube. We like to see it. You obviously deserve the entourage. You're, you're both wonderful. Thanks again for being here on the show with Oh yeah, go ahead >>John. Well, I would just like to thank Danny for, for agreeing to >>Discern, thankfully >>Great to spend time with you. Absolutely. Let's do it. >>Thank you. Yeah, >>Yeah. Fantastic gentlemen. Well thank you all for tuning into this wonderful start to the afternoon here from AWS Reinvent. We are in Las Vegas, Nevada with John Furier. My name's Savannah Peterson, you're watching The Cube, the leader in high tech coverage.

Published Date : Nov 30 2022

SUMMARY :

from the show floor at AWS Reinvent. Wasn't very complex like it is today, so it was very easy, Great, great guests coming up Cube alumni and great question around complexity and how is wellbeing teams be I swear I'll be able to say that right by the end of this. You know, back back to pre Covid days, John, what about you? It's, it's been busier than ever in case the audience isn't familiar, let's get them acquainted with your companies. in the cloud, scaling a business in the cloud, a lot of companies are just looking to sort of have I can imagine pretty much everyone here on the show floor is dealing with that challenge of complexity. And one of the key values for us here is that we can actually offer a product in regions And what you used to have here So again, we got more complexity coming, but the greatest the cloud is, you can abstract that you know, they know for most, for the most part what they're trying to achieve. And Danny, you're rolling out solutions so you're on, you're on the front lines, you gotta make it easier. I mean one of the reasons we go do it is you need to, And the other one is skills gap. And this is how we fill our gap from We can help, you know, operate your cloud, show you the most effective way to do that. Can, couldn't raise this upon there. start with DEF U A C because you cannot, you just have to learn The puns are on list here on the Cuban general. I like the data But it, but it's a lot of gap filling, you know, 50 connectors you got, you know, yeah. I spoke about the reason we exist and the reason we form the company is we hold it very, The intersection of the finance, the tuning is now we're hearing a lot of price performance, that is as prevalent and relevant today as it was, you know, 10 years ago. You spend more cloud to save cloud. It's always a little bit, always a little bit of a, of a We roll out the new application for all the new product offering host It's working, you know, talking about it means it's, it's, it's operational. Well to that point, John, one of the things we're most proud of in, you know, know this year was, was the launch of our product we from do it to your CTO and across the company. Well, the problem is, like the CTO asked me to do all of that. more interactive as opposed to, you know, building the one in aws. Make things easy for your customers. This is at the core of if we don't, if we're not able to build trust with our clients, the outcome versus optimizing for just profit, you know what I'm saying? You know, as a, as a, as a core fundamental sort of product concept. This is the beauty we do it. for the both of you. And the key take, All right, John, now you do have to go. I think we, you know, we exist as a company to sort of help our customers get back to focusing Thanks again for being here on the show with Oh yeah, go ahead Great to spend time with you. Thank you. Well thank you all for tuning into this wonderful start to the afternoon here

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Karthik Narain and Tanuja Randery | AWS Executive Summit 2022


 

(relaxing intro music) >> Welcome back to theCUBE's Coverage here live at reinvent 2022. We're here at the Executive Summit upstairs with the Accenture Set three sets broadcasting live four days with theCUBE. I'm John Furrier your host, with two great guests, cube alumnis, back Tanuja Randery, managing director Amazon web service for Europe middle East and Africa, known as EMEA. Welcome back to the Cube. >> Thank you. >> Great to see you. And Karthik Narain, who's the Accenture first cloud lead. Great to see you back again. >> Thank you. >> Thanks for coming back on. All right, so business transformation is all about digital transformation taken to its conclusion. When companies transform, they are now a digital business. Technologies powering value proposition, data security all in the keynotes higher level service at industry specific solutions. The dynamics of the industry are changing radically in front of our eyes for for the better. Karthik, what's your position on this as Accenture looks at this, we've covered all your successes during the pandemic with AWS. What, what do you guys see out there now as this next layer of power dynamics in the industry take place? >> I think cloud is getting interesting and I think there's a general trend towards specialization that's happening in the world of cloud. And cloud is also moving from a general purpose technology backbone to providing specific industry capabilities for every customer within various industries. But the industry cloud is not a new term. It has been used in the past and it's been used in the past in various degrees, whether that's building horizontal solutions, certain specialized SaaS software or providing capabilities that are horizontal for certain industries. But we see the evolution of industry cloud a little differently and a lot more dynamic, which is we see this as a marketplace where ecosystem of capabilities are going to come together to interact with a common data platform data backbone, data model with workflows that'll come together and integrate all of this stuff and help clients reinvent their industry with newer capabilities, but at the same time use the power of democratized innovation that's already there within that industry. So that's the kind of change we are seeing where customers in their strategy are going to implement industry cloud as one of the tenants as they go through their strategy. >> Yeah, and I see in my notes, fit for purposes is a buzzword people are talking about right size in the cloud and then just building on that. And what's interesting, Tanuja I want to get your thoughts because in the US we're one country, so yeah, integrating is kind of within services. You have purview over countries and these regions it's global impact. This is now a global environment. So it's not just the US North America, it's Latin America it's EMEA, this is another variable in the cross connecting of these fit for purpose. What's your view of the these industry specific solutions? >> Yeah, no and thanks Karthik 'cause I'm a hundred percent aligned. You know, I mean, you know this better than me, John, but 90% of workloads have not yet moved to the cloud. And the only way that we think that's going to happen is by bringing together business and IT. So what does that mean? It means starting with business use cases whether that's digital banking or smart connected factories or frankly if it's predictive maintenance or connected beds. But how do we take those use cases leverage them to really drive outcomes with the technology behind them? I think that's the key unlock that we have to get to. And very specifically, and Adam talked about this a lot today, but data, data is the single unifier for all of business and IT coming together to drive value, right? However, the issue is there's a ton of it, (John Furrier chuckling) right? In fact, fun fact if you put all the data that's going to be created over the next five years, which is more than the last 30 years, on a one terabyte little floppy, disk drive, remember those? Well that's going to be 15 round trips to the moon (John Furrier chuckling) and back. That's how much data it is. So our perspective is you got to unify, single data lake, you got to modernize with AI and ML, and then you're going to have to drive innovation on that. Now, I'll give you one tiny example if I may which I love Ryanair, big airline, 150 million passengers. They are also the largest supplier of ham and cheese sandwiches in the air. And catering at that scale is really difficult, right? If you have too much food wastage, sustainability issues, too little customers are really unhappy. So we work with them leveraging AWS cloud and AI ML to build a panini predictor. And in essence, it's taking the data they've got, data we've got, and actually giving them the opportunity to have just the right number of paninis. >> I love the lock and and the key is data to unlock the value. We heard that in the keynote. Karthik, you guys have been working together with AWS and a lot of successes. We've covered some of those on the cube. As you look at these industry solutions they're not the obvious big problems. They're like businesses, you know it could be the pizza shop it could be the dentist office, it could be any business any industry specific carries over. What is the key to unlock it? Is it the data? Is it the solution? What's that key? >> I think, you know the easier answer is all of the about, but like Tanuja said it all starts by bringing the data together and this is a funny thing. It's not creating new data. This data is there within enterprises. Our clients have these data the industries have the data, but for ages these data has been trapped in functional silos and organizations have been doing analytics within those functions. It's about bringing the data together whether that's a single data warehouse or a data mesh. Those are architectural considerations. But it's about bringing cross-functional data together as step one. Step two, is about utilizing the power of cloud for democratized innovation. It's no longer about one company trying to reinvent the wheel, or create a a new wheel within their enterprise. It's about looking around through the power of cloud marketplace to see if there's a solution that is already existing can we use that? Or if I've created something within my company can I use that as a service for others to use? So, the number one thing is using the power of democratized innovation. Second thing is how do you standardize and digitize functions that does not need to be reinvented every single time so that, you know, your organization can do it or you could use that or take that from elsewhere. And the third element is using the power of the platform economy or platforms to find new avenues of revenue opportunity, customer engagement and experiences. So these are all the things that differentiates organization, but all of this is underpinned by a unified data model that helps, you know, use all the (indistinct) there. >> Tanuja, you have mentioned earlier that not everyone has their journey of the cloud looks the same and certainly in the US and EMEA you have different countries and different areas. >> Yep. >> Their journeys are different. Some want speed and fees, some will roll their own. I mean data brick CEO, when I interviewed them that last week, they started database on a credit card swiped it and they didn't want any support. Amazon's knocking on their door saying, "you want support?" "No, we got it covered." Obviously they're from Berkeley and they're nerds, and they're cool. They can roll their own, but not everyone can. >> Yeah. >> And so you have a mix of customer profiles. How do you view that and what's your strategy? How do you get them over productive seeing that business value? What's that transformation look like? >> Yeah, John, you're absolutely right. So you've got those who are born in cloud, they're very savvy, they know exactly what they need. However, what I do find increasingly, even with these digital native customers, is they're also starting to talk business use cases. So they're talking about, "okay how do I take my platform and build a whole bunch of new services on top of that platform?" So, we still have to work with them on this business use case dimension for the next curve of growth that they want to drive. Currently with the global macroeconomic factors obviously they're also very concerned about profitability and costs. So that's one model. In the enterprise space, you have differences. >> Yeah. >> Right, You have the sort of very, very, very savvy enterprises, right? Who know exactly what they're looking for. But for them then it's about how do I lean into sustainability? In fact, we did a survey, and 77% of users that we surveyed said that they could accelerate their sustainably goals by using cloud. So in many cases they haven't cracked that and we can help them do that. So it's really about horses for courses there. And then, then with some other companies, they've done a lot of the basic infrastructure modernization. However, what they haven't been able to yet do is figure out how they're going to actually become a tech company. So I keep getting asked, can I become a tech company? How do I do that? Right? And then finally there are companies which don't have the skills. So if I go to the SMB segment, they don't always have the skills or the resources. And there using scalable market platforms like AWS marketplace, >> Yeah. >> Allows them to get access to solutions without having to have all the capabilities. So it really is- >> This is where partner network really kind of comes in. >> Absolutely. >> Huge value. Having that channel of solution providers I use that term specifically 'cause you're providing the solution for those folks. >> Yeah. Exact- >> And then the folks at the enterprise, we had a quote on the analyst segment earlier on our Cube, "spend more, save more." >> Yeah. >> That's the cloud equations, >> Yeah. because you're going to get it on sustainability you're going to save it on, you're going to save on cost recovery for revenue, time to revenue. So the cloud is the answer for a lot of enterprises out of the recession. >> Absolutely, and in fact, we need to lean in now you heard Adam say this, right? I mean the cost savings potential alone from on-prem to cloud is between 40 and 60 percent. Just that. But I don't think that's it John. >> The bell tightening he said is reigning some right size. Okay, but then also do more, he didn't say that, but analysts are generally saying, if you spend right on the cloud, you'll save more. That's a general thesis. >> Yeah. >> Do you agree with that? >> I absolutely think so. And by the way, usage is, people use it differently as they get smarter. We're constantly working with our customers by the way though, to continuously cost optimize. So you heard about our Graviton3 instances for example. We're using that to constantly optimize, but at the same time, what are the workloads that you haven't yet brought over to the cloud? (John Furrier chuckling) And so supply chain is a great idea. Our health cloud initiative. So we worked with Accenture on the Accenture Health Insights platform, which runs on AWS as an example or the Goldman Sachs one last year, if you remember. >> I do >> The financial cloud. So those, those are some of the things that I think make it easier for people to consume cloud and reimagine their businesses. >> It's funny, I was talking with Adam and we had a little debate about what an ISV is and I talked to the CEO of Mongo. They don't see themselves on the ISV. As they grew up on the cloud, they become platforms, they have their own ISVs and data bricks and Snowflake and others are developing that dynamic. But there's still ISVs out there. So there's a dynamic of growth going on and the need for partners and our belief is that the ecosystem is going to start doubling in size we believe, because of the demand for purpose built or so out of the box. I hate to use that word "out of the box", but you know turnkey solutions that you can buy another one if it breaks. But use the building blocks if you want to build the foundation. That is more durable, more customizable. Do that if you can. >> Well, >> but- >> we've got a phenomenal, >> shall we talk about this? >> Yeah, go get into- >> So, we've built a five year vision together, Accenture and us. which is called Velocity and you'll be much better in describing it, but I'll give you the simple version of Velocity which is taking AWS powered industry solutions and bringing it to market faster, more repeatable and at lower cost. And so think about vertical solutions sitting on a horizontal accelerator platform able to be deployed making transformation less complex. >> Yeah. >> Karthik, weight in on this, because I've talked to you about this before. We've said years ago the horizontal scalability of the cloud's a beautiful thing but verticals where the ML works great too. Now you got ML in all aspects of it. Horizontal verticals here now. >> Yeah, Yeah, absolutely. Again, the power of this kind of platform that we are launching, by the way we're launching tomorrow we are very excited about it, is, create a platform- >> What are you launching tomorrow? Hold on, I got news out there. What's launching? >> We are going to launch a giant platform, which will help clients accelerate their journey to industry cloud. So that's going to happen tomorrow. So what this platform would provide is that this is going to provide the horizontal capabilities that will help clients bootstrap their launch into cloud. And once they get into cloud, they would be able to build industry solutions on this. The way I imagine this is create the chassis that you need for your industry and then add the cartridges, industry cartridges, which are going to be solutions that are going to be built on top of it. And we are going to do this across various industries starting from, you know, healthcare, life sciences to energy to, you know, public services and so on and so forth >> You're going to create a channel machine. A channel creation machine, you're going to allow people to build their own solutions on top of that platform. And that's launching tomorrow. Make sure we get the news on that. >> Exactly. And- >> Ah, No, >> Sorry, and we genuinely believe the power of industry cloud, if you think about it in the past to create a solution one had to be an ISV to create a solution. What cloud is providing for industry today in the concept of industry clouds, this, industry companies are creating industry solution. The best example is, along with, you know, AWS and Accenture, Ecopetrol, which is a leader in the energy industry, has created a platform, you know called Water Intelligence and Management platform. And through this platform, they are attacking the audacious goal of water sustainability, which is going to be a huge problem for humanity that everybody needs to solve. As part of this platform, the goal is to reduce, you know, fresh water usage by 66% or zero, you know, you know, impact to, you know, groundwater is going to be the goal or ambition of Ecopetrol. So all of this is possible because industry players want to jump to the bandwagon because they have all the toolkit of of the cloud that's available with which they could build a software platform with which they can power their entire industry. >> And make money and have a good business. You guys are doing great. Final word, partnership. Where's it go next? You're doing great. Put a plugin for the Accenture AWS partnership. >> Well, I mean we have a phenomenal relationship and partnership, which is amazing. We really believe in the power of three which is the GSI, the ISV, and us together. And I have to go back to the thing I keep focused on 90% of workloads not in cloud. I think together we can enable those companies to come into the cloud. Very importantly, start to innovate launch new products and refuel the economy. So I think- >> We'll have to check on that >> Very, very optimistic. >> We'll have to check on that number. >> That seems a little- >> You got to check on that number. >> 90 seems a little bit amazing. >> 90% of workloads. >> That sounds, maybe, I'd be surprised. Maybe a little bit lower than that. Maybe. We'll see. >> We got to start turning it. >> It's still a lot. >> (laughs) It's still a lot. >> A lot more. Still first, still early days. Thanks so much for the conversation Karthik great to see you again Tanuja, thanks for your time. >> Thank you, John. >> Congratulations, on your success. Okay, this is theCube up here in the executive summit. You're watching theCube, the leader in high tech coverage, we'll be right back with more coverage here, and the Accenture set after the short break. (calm outro music)

Published Date : Nov 30 2022

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Horizon3.ai Signal | Horizon3.ai Partner Program Expands Internationally


 

hello I'm John Furrier with thecube and welcome to this special presentation of the cube and Horizon 3.ai they're announcing a global partner first approach expanding their successful pen testing product Net Zero you're going to hear from leading experts in their staff their CEO positioning themselves for a successful Channel distribution expansion internationally in Europe Middle East Africa and Asia Pacific in this Cube special presentation you'll hear about the expansion the expanse partner program giving Partners a unique opportunity to offer Net Zero to their customers Innovation and Pen testing is going International with Horizon 3.ai enjoy the program [Music] welcome back everyone to the cube and Horizon 3.ai special presentation I'm John Furrier host of thecube we're here with Jennifer Lee head of Channel sales at Horizon 3.ai Jennifer welcome to the cube thanks for coming on great well thank you for having me so big news around Horizon 3.aa driving Channel first commitment you guys are expanding the channel partner program to include all kinds of new rewards incentives training programs help educate you know Partners really drive more recurring Revenue certainly cloud and Cloud scale has done that you got a great product that fits into that kind of Channel model great Services you can wrap around it good stuff so let's get into it what are you guys doing what are what are you guys doing with this news why is this so important yeah for sure so um yeah we like you said we recently expanded our Channel partner program um the driving force behind it was really just um to align our like you said our Channel first commitment um and creating awareness around the importance of our partner ecosystems um so that's it's really how we go to market is is through the channel and a great International Focus I've talked with the CEO so you know about the solution and he broke down all the action on why it's important on the product side but why now on the go to market change what's the what's the why behind this big this news on the channel yeah for sure so um we are doing this now really to align our business strategy which is built on the concept of enabling our partners to create a high value high margin business on top of our platform and so um we offer a solution called node zero it provides autonomous pen testing as a service and it allows organizations to continuously verify their security posture um so we our company vision we have this tagline that states that our pen testing enables organizations to see themselves Through The Eyes of an attacker and um we use the like the attacker's perspective to identify exploitable weaknesses and vulnerabilities so we created this partner program from a perspective of the partner so the partner's perspective and we've built It Through The Eyes of our partner right so we're prioritizing really what the partner is looking for and uh will ensure like Mutual success for us yeah the partners always want to get in front of the customers and bring new stuff to them pen tests have traditionally been really expensive uh and so bringing it down in one to a service level that's one affordable and has flexibility to it allows a lot of capability so I imagine people getting excited by it so I have to ask you about the program What specifically are you guys doing can you share any details around what it means for the partners what they get what's in it for them can you just break down some of the mechanics and mechanisms or or details yeah yep um you know we're really looking to create business alignment um and like I said establish Mutual success with our partners so we've got two um two key elements that we were really focused on um that we bring to the partners so the opportunity the profit margin expansion is one of them and um a way for our partners to really differentiate themselves and stay relevant in the market so um we've restructured our discount model really um you know highlighting profitability and maximizing profitability and uh this includes our deal registration we've we've created deal registration program we've increased discount for partners who take part in our partner certification uh trainings and we've we have some other partner incentives uh that we we've created that that's going to help out there we've we put this all so we've recently Gone live with our partner portal um it's a Consolidated experience for our partners where they can access our our sales tools and we really view our partners as an extension of our sales and Technical teams and so we've extended all of our our training material that we use internally we've made it available to our partners through our partner portal um we've um I'm trying I'm thinking now back what else is in that partner portal here we've got our partner certification information so all the content that's delivered during that training can be found in the portal we've got deal registration uh um co-branded marketing materials pipeline management and so um this this portal gives our partners a One-Stop place to to go to find all that information um and then just really quickly on the second part of that that I mentioned is our technology really is um really disruptive to the market so you know like you said autonomous pen testing it's um it's still it's well it's still still relatively new topic uh for security practitioners and um it's proven to be really disruptive so um that on top of um just well recently we found an article that um that mentioned by markets and markets that reports that the global pen testing markets really expanding and so it's expected to grow to like 2.7 billion um by 2027. so the Market's there right the Market's expanding it's growing and so for our partners it's just really allows them to grow their revenue um across their customer base expand their customer base and offering this High profit margin while you know getting in early to Market on this just disruptive technology big Market a lot of opportunities to make some money people love to put more margin on on those deals especially when you can bring a great solution that everyone knows is hard to do so I think that's going to provide a lot of value is there is there a type of partner that you guys see emerging or you aligning with you mentioned the alignment with the partners I can see how that the training and the incentives are all there sounds like it's all going well is there a type of partner that's resonating the most or is there categories of partners that can take advantage of this yeah absolutely so we work with all different kinds of Partners we work with our traditional resale Partners um we've worked we're working with systems integrators we have a really strong MSP mssp program um we've got Consulting partners and the Consulting Partners especially with the ones that offer pen test services so we they use us as a as we act as a force multiplier just really offering them profit margin expansion um opportunity there we've got some technology partner partners that we really work with for co-cell opportunities and then we've got our Cloud Partners um you'd mentioned that earlier and so we are in AWS Marketplace so our ccpo partners we're part of the ISP accelerate program um so we we're doing a lot there with our Cloud partners and um of course we uh we go to market with uh distribution Partners as well gotta love the opportunity for more margin expansion every kind of partner wants to put more gross profit on their deals is there a certification involved I have to ask is there like do you get do people get certified or is it just you get trained is it self-paced training is it in person how are you guys doing the whole training certification thing because is that is that a requirement yeah absolutely so we do offer a certification program and um it's been very popular this includes a a seller's portion and an operator portion and and so um this is at no cost to our partners and um we operate both virtually it's it's law it's virtually but live it's not self-paced and we also have in person um you know sessions as well and we also can customize these to any partners that have a large group of people and we can just we can do one in person or virtual just specifically for that partner well any kind of incentive opportunities and marketing opportunities everyone loves to get the uh get the deals just kind of rolling in leads from what we can see if our early reporting this looks like a hot product price wise service level wise what incentive do you guys thinking about and and Joint marketing you mentioned co-sell earlier in pipeline so I was kind of kind of honing in on that piece sure and yes and then to follow along with our partner certification program we do incentivize our partners there if they have a certain number certified their discount increases so that's part of it we have our deal registration program that increases discount as well um and then we do have some um some partner incentives that are wrapped around meeting setting and um moving moving opportunities along to uh proof of value gotta love the education driving value I have to ask you so you've been around the industry you've seen the channel relationships out there you're seeing companies old school new school you know uh Horizon 3.ai is kind of like that new school very cloud specific a lot of Leverage with we mentioned AWS and all the clouds um why is the company so hot right now why did you join them and what's why are people attracted to this company what's the what's the attraction what's the vibe what do you what do you see and what what do you use what did you see in in this company well this is just you know like I said it's very disruptive um it's really in high demand right now and um and and just because because it's new to Market and uh a newer technology so we are we can collaborate with a manual pen tester um we can you know we can allow our customers to run their pen test um with with no specialty teams and um and and then so we and like you know like I said we can allow our partners can actually build businesses profitable businesses so we can they can use our product to increase their services revenue and um and build their business model you know around around our services what's interesting about the pen test thing is that it's very expensive and time consuming the people who do them are very talented people that could be working on really bigger things in the in absolutely customers so bringing this into the channel allows them if you look at the price Delta between a pen test and then what you guys are offering I mean that's a huge margin Gap between street price of say today's pen test and what you guys offer when you show people that they follow do they say too good to be true I mean what are some of the things that people say when you kind of show them that are they like scratch their head like come on what's the what's the catch here right so the cost savings is a huge is huge for us um and then also you know like I said working as a force multiplier with a pen testing company that offers the services and so they can they can do their their annual manual pen tests that may be required around compliance regulations and then we can we can act as the continuous verification of their security um um you know that that they can run um weekly and so it's just um you know it's just an addition to to what they're offering already and an expansion so Jennifer thanks for coming on thecube really appreciate you uh coming on sharing the insights on the channel uh what's next what can we expect from the channel group what are you thinking what's going on right so we're really looking to expand our our Channel um footprint and um very strategically uh we've got um we've got some big plans um for for Horizon 3.ai awesome well thanks for coming on really appreciate it you're watching thecube the leader in high tech Enterprise coverage [Music] [Music] hello and welcome to the Cube's special presentation with Horizon 3.ai with Raina Richter vice president of emea Europe Middle East and Africa and Asia Pacific APAC for Horizon 3 today welcome to this special Cube presentation thanks for joining us thank you for the invitation so Horizon 3 a guy driving Global expansion big international news with a partner first approach you guys are expanding internationally let's get into it you guys are driving this new expanse partner program to new heights tell us about it what are you seeing in the momentum why the expansion what's all the news about well I would say uh yeah in in international we have I would say a similar similar situation like in the US um there is a global shortage of well-educated penetration testers on the one hand side on the other side um we have a raising demand of uh network and infrastructure security and with our approach of an uh autonomous penetration testing I I believe we are totally on top of the game um especially as we have also now uh starting with an international instance that means for example if a customer in Europe is using uh our service node zero he will be connected to a node zero instance which is located inside the European Union and therefore he has doesn't have to worry about the conflict between the European the gdpr regulations versus the US Cloud act and I would say there we have a total good package for our partners that they can provide differentiators to their customers you know we've had great conversations here on thecube with the CEO and the founder of the company around the leverage of the cloud and how successful that's been for the company and honestly I can just Connect the Dots here but I'd like you to weigh in more on how that translates into the go to market here because you got great Cloud scale with with the security product you guys are having success with great leverage there I've seen a lot of success there what's the momentum on the channel partner program internationally why is it so important to you is it just the regional segmentation is it the economics why the momentum well there are it's there are multiple issues first of all there is a raising demand in penetration testing um and don't forget that uh in international we have a much higher level in number a number or percentage in SMB and mid-market customers so these customers typically most of them even didn't have a pen test done once a year so for them pen testing was just too expensive now with our offering together with our partners we can provide different uh ways how customers could get an autonomous pen testing done more than once a year with even lower costs than they had with with a traditional manual paint test so and that is because we have our uh Consulting plus package which is for typically pain testers they can go out and can do a much faster much quicker and their pain test at many customers once in after each other so they can do more pain tests on a lower more attractive price on the other side there are others what even the same ones who are providing um node zero as an mssp service so they can go after s p customers saying okay well you only have a couple of hundred uh IP addresses no worries we have the perfect package for you and then you have let's say the mid Market let's say the thousands and more employees then they might even have an annual subscription very traditional but for all of them it's all the same the customer or the service provider doesn't need a piece of Hardware they only need to install a small piece of a Docker container and that's it and that makes it so so smooth to go in and say okay Mr customer we just put in this this virtual attacker into your network and that's it and and all the rest is done and within within three clicks they are they can act like a pen tester with 20 years of experience and that's going to be very Channel friendly and partner friendly I can almost imagine so I have to ask you and thank you for calling the break calling out that breakdown and and segmentation that was good that was very helpful for me to understand but I want to follow up if you don't mind um what type of partners are you seeing the most traction with and why well I would say at the beginning typically you have the the innovators the early adapters typically Boutique size of Partners they start because they they are always looking for Innovation and those are the ones you they start in the beginning so we have a wide range of Partners having mostly even um managed by the owner of the company so uh they immediately understand okay there is the value and they can change their offering they're changing their offering in terms of penetration testing because they can do more pen tests and they can then add other ones or we have those ones who offer 10 tests services but they did not have their own pen testers so they had to go out on the open market and Source paint testing experts um to get the pen test at a particular customer done and now with node zero they're totally independent they can't go out and say okay Mr customer here's the here's the service that's it we turn it on and within an hour you're up and running totally yeah and those pen tests are usually expensive and hard to do now it's right in line with the sales delivery pretty interesting for a partner absolutely but on the other hand side we are not killing the pain testers business we do something we're providing with no tiers I would call something like the foundation work the foundational work of having an an ongoing penetration testing of the infrastructure the operating system and the pen testers by themselves they can concentrate in the future on things like application pen testing for example so those Services which we we're not touching so we're not killing the paint tester Market we're just taking away the ongoing um let's say foundation work call it that way yeah yeah that was one of my questions I was going to ask is there's a lot of interest in this autonomous pen testing one because it's expensive to do because those skills are required are in need and they're expensive so you kind of cover the entry level and the blockers that are in there I've seen people say to me this pen test becomes a blocker for getting things done so there's been a lot of interest in the autonomous pen testing and for organizations to have that posture and it's an overseas issue too because now you have that that ongoing thing so can you explain that particular benefit for an organization to have that continuously verifying an organization's posture yep certainly so I would say um typically you are you you have to do your patches you have to bring in new versions of operating systems of different Services of uh um operating systems of some components and and they are always bringing new vulnerabilities the difference here is that with node zero we are telling the customer or the partner package we're telling them which are the executable vulnerabilities because previously they might have had um a vulnerability scanner so this vulnerability scanner brought up hundreds or even thousands of cves but didn't say anything about which of them are vulnerable really executable and then you need an expert digging in one cve after the other finding out is it is it really executable yes or no and that is where you need highly paid experts which we have a shortage so with notes here now we can say okay we tell you exactly which ones are the ones you should work on because those are the ones which are executable we rank them accordingly to the risk level how easily they can be used and by a sudden and then the good thing is convert it or indifference to the traditional penetration test they don't have to wait for a year for the next pain test to find out if the fixing was effective they weren't just the next scan and say Yes closed vulnerability is gone the time is really valuable and if you're doing any devops Cloud native you're always pushing new things so pen test ongoing pen testing is actually a benefit just in general as a kind of hygiene so really really interesting solution really bring that global scale is going to be a new new coverage area for us for sure I have to ask you if you don't mind answering what particular region are you focused on or plan to Target for this next phase of growth well at this moment we are concentrating on the countries inside the European Union Plus the United Kingdom um but we are and they are of course logically I'm based into Frankfurt area that means we cover more or less the countries just around so it's like the total dark region Germany Switzerland Austria plus the Netherlands but we also already have Partners in the nordics like in Finland or in Sweden um so it's it's it it's rapidly we have Partners already in the UK and it's rapidly growing so I'm for example we are now starting with some activities in Singapore um um and also in the in the Middle East area um very important we uh depending on let's say the the way how to do business currently we try to concentrate on those countries where we can have um let's say um at least English as an accepted business language great is there any particular region you're having the most success with right now is it sounds like European Union's um kind of first wave what's them yes that's the first definitely that's the first wave and now we're also getting the uh the European instance up and running it's clearly our commitment also to the market saying okay we know there are certain dedicated uh requirements and we take care of this and and we're just launching it we're building up this one uh the instance um in the AWS uh service center here in Frankfurt also with some dedicated Hardware internet in a data center in Frankfurt where we have with the date six by the way uh the highest internet interconnection bandwidth on the planet so we have very short latency to wherever you are on on the globe that's a great that's a great call outfit benefit too I was going to ask that what are some of the benefits your partners are seeing in emea and Asia Pacific well I would say um the the benefits is for them it's clearly they can they can uh talk with customers and can offer customers penetration testing which they before and even didn't think about because it penetrates penetration testing in a traditional way was simply too expensive for them too complex the preparation time was too long um they didn't have even have the capacity uh to um to support a pain an external pain tester now with this service you can go in and say even if they Mr customer we can do a test with you in a couple of minutes within we have installed the docker container within 10 minutes we have the pen test started that's it and then we just wait and and I would say that is we'll we are we are seeing so many aha moments then now because on the partner side when they see node zero the first time working it's like this wow that is great and then they work out to customers and and show it to their typically at the beginning mostly the friendly customers like wow that's great I need that and and I would say um the feedback from the partners is that is a service where I do not have to evangelize the customer everybody understands penetration testing I don't have to say describe what it is they understand the customer understanding immediately yes penetration testing good about that I know I should do it but uh too complex too expensive now with the name is for example as an mssp service provided from one of our partners but it's getting easy yeah it's great and it's great great benefit there I mean I gotta say I'm a huge fan of what you guys are doing I like this continuous automation that's a major benefit to anyone doing devops or any kind of modern application development this is just a godsend for them this is really good and like you said the pen testers that are doing it they were kind of coming down from their expertise to kind of do things that should have been automated they get to focus on the bigger ticket items that's a really big point so we free them we free the pain testers for the higher level elements of the penetration testing segment and that is typically the application testing which is currently far away from being automated yeah and that's where the most critical workloads are and I think this is the nice balance congratulations on the international expansion of the program and thanks for coming on this special presentation really I really appreciate it thank you you're welcome okay this is thecube special presentation you know check out pen test automation International expansion Horizon 3 dot AI uh really Innovative solution in our next segment Chris Hill sector head for strategic accounts will discuss the power of Horizon 3.ai and Splunk in action you're watching the cube the leader in high tech Enterprise coverage foreign [Music] [Music] welcome back everyone to the cube and Horizon 3.ai special presentation I'm John Furrier host of thecube we're with Chris Hill sector head for strategic accounts and federal at Horizon 3.ai a great Innovative company Chris great to see you thanks for coming on thecube yeah like I said uh you know great to meet you John long time listener first time caller so excited to be here with you guys yeah we were talking before camera you had Splunk back in 2013 and I think 2012 was our first splunk.com and boy man you know talk about being in the right place at the right time now we're at another inflection point and Splunk continues to be relevant um and continuing to have that data driving Security in that interplay and your CEO former CTO of his plug as well at Horizon who's been on before really Innovative product you guys have but you know yeah don't wait for a breach to find out if you're logging the right data this is the topic of this thread Splunk is very much part of this new international expansion announcement uh with you guys tell us what are some of the challenges that you see where this is relevant for the Splunk and Horizon AI as you guys expand uh node zero out internationally yeah well so across so you know my role uh within Splunk it was uh working with our most strategic accounts and so I looked back to 2013 and I think about the sales process like working with with our small customers you know it was um it was still very siled back then like I was selling to an I.T team that was either using this for it operations um we generally would always even say yeah although we do security we weren't really designed for it we're a log management tool and we I'm sure you remember back then John we were like sort of stepping into the security space and and the public sector domain that I was in you know security was 70 of what we did when I look back to sort of uh the transformation that I was witnessing in that digital transformation um you know when I look at like 2019 to today you look at how uh the IT team and the security teams are being have been forced to break down those barriers that they used to sort of be silent away would not commute communicate one you know the security guys would be like oh this is my box I.T you're not allowed in today you can't get away with that and I think that the value that we bring to you know and of course Splunk has been a huge leader in that space and continues to do Innovation across the board but I think what we've we're seeing in the space and I was talking with Patrick Coughlin the SVP of uh security markets about this is that you know what we've been able to do with Splunk is build a purpose-built solution that allows Splunk to eat more data so Splunk itself is ulk know it's an ingest engine right the great reason people bought it was you could build these really fast dashboards and grab intelligence out of it but without data it doesn't do anything right so how do you drive and how do you bring more data in and most importantly from a customer perspective how do you bring the right data in and so if you think about what node zero and what we're doing in a horizon 3 is that sure we do pen testing but because we're an autonomous pen testing tool we do it continuously so this whole thought I'd be like oh crud like my customers oh yeah we got a pen test coming up it's gonna be six weeks the week oh yeah you know and everyone's gonna sit on their hands call me back in two months Chris we'll talk to you then right not not a real efficient way to test your environment and shoot we saw that with Uber this week right um you know and that's a case where we could have helped oh just right we could explain the Uber thing because it was a contractor just give a quick highlight of what happened so you can connect the doctor yeah no problem so um it was uh I got I think it was yeah one of those uh you know games where they would try and test an environment um and with the uh pen tester did was he kept on calling them MFA guys being like I need to reset my password we need to set my right password and eventually the um the customer service guy said okay I'm resetting it once he had reset and bypassed the multi-factor authentication he then was able to get in and get access to the building area that he was in or I think not the domain but he was able to gain access to a partial part of that Network he then paralleled over to what I would assume is like a VA VMware or some virtual machine that had notes that had all of the credentials for logging into various domains and So within minutes they had access and that's the sort of stuff that we do you know a lot of these tools like um you know you think about the cacophony of tools that are out there in a GTA architect architecture right I'm gonna get like a z-scale or I'm going to have uh octum and I have a Splunk I've been into the solar system I mean I don't mean to name names we have crowdstriker or Sentinel one in there it's just it's a cacophony of things that don't work together they weren't designed work together and so we have seen so many times in our business through our customer support and just working with customers when we do their pen tests that there will be 5 000 servers out there three are misconfigured those three misconfigurations will create the open door because remember the hacker only needs to be right once the defender needs to be right all the time and that's the challenge and so that's what I'm really passionate about what we're doing uh here at Horizon three I see this my digital transformation migration and security going on which uh we're at the tip of the spear it's why I joined sey Hall coming on this journey uh and just super excited about where the path's going and super excited about the relationship with Splunk I get into more details on some of the specifics of that but um you know well you're nailing I mean we've been doing a lot of things on super cloud and this next gen environment we're calling it next gen you're really seeing devops obviously devsecops has already won the it role has moved to the developer shift left is an indicator of that it's one of the many examples higher velocity code software supply chain you hear these things that means that it is now in the developer hands it is replaced by the new Ops data Ops teams and security where there's a lot of horizontal thinking to your point about access there's no more perimeter huge 100 right is really right on things one time you know to get in there once you're in then you can hang out move around move laterally big problem okay so we get that now the challenges for these teams as they are transitioning organizationally how do they figure out what to do okay this is the next step they already have Splunk so now they're kind of in transition while protecting for a hundred percent ratio of success so how would you look at that and describe the challenge is what do they do what is it what are the teams facing with their data and what's next what are they what are they what action do they take so let's use some vernacular that folks will know so if I think about devsecops right we both know what that means that I'm going to build security into the app it normally talks about sec devops right how am I building security around the perimeter of what's going inside my ecosystem and what are they doing and so if you think about what we're able to do with somebody like Splunk is we can pen test the entire environment from Soup To Nuts right so I'm going to test the end points through to its I'm going to look for misconfigurations I'm going to I'm going to look for um uh credential exposed credentials you know I'm going to look for anything I can in the environment again I'm going to do it at light speed and and what what we're doing for that SEC devops space is to you know did you detect that we were in your environment so did we alert Splunk or the Sim that there's someone in the environment laterally moving around did they more importantly did they log us into their environment and when do they detect that log to trigger that log did they alert on us and then finally most importantly for every CSO out there is going to be did they stop us and so that's how we we do this and I think you when speaking with um stay Hall before you know we've come up with this um boils but we call it fine fix verifying so what we do is we go in is we act as the attacker right we act in a production environment so we're not going to be we're a passive attacker but we will go in on credentialed on agents but we have to assume to have an assumed breach model which means we're going to put a Docker container in your environment and then we're going to fingerprint the environment so we're going to go out and do an asset survey now that's something that's not something that Splunk does super well you know so can Splunk see all the assets do the same assets marry up we're going to log all that data and think and then put load that into this long Sim or the smoke logging tools just to have it in Enterprise right that's an immediate future ad that they've got um and then we've got the fix so once we've completed our pen test um we are then going to generate a report and we can talk about these in a little bit later but the reports will show an executive summary the assets that we found which would be your asset Discovery aspect of that a fix report and the fixed report I think is probably the most important one it will go down and identify what we did how we did it and then how to fix that and then from that the pen tester or the organization should fix those then they go back and run another test and then they validate like a change detection environment to see hey did those fixes taste play take place and you know snehaw when he was the CTO of jsoc he shared with me a number of times about it's like man there would be 15 more items on next week's punch sheet that we didn't know about and it's and it has to do with how we you know how they were uh prioritizing the cves and whatnot because they would take all CBDs it was critical or non-critical and it's like we are able to create context in that environment that feeds better information into Splunk and whatnot that brings that brings up the efficiency for Splunk specifically the teams out there by the way the burnout thing is real I mean this whole I just finished my list and I got 15 more or whatever the list just can keeps growing how did node zero specifically help Splunk teams be more efficient like that's the question I want to get at because this seems like a very scale way for Splunk customers and teams service teams to be more so the question is how does node zero help make Splunk specifically their service teams be more efficient so so today in our early interactions we're building customers we've seen are five things um and I'll start with sort of identifying the blind spots right so kind of what I just talked about with you did we detect did we log did we alert did they stop node zero right and so I would I put that you know a more Layman's third grade term and if I was going to beat a fifth grader at this game would be we can be the sparring partner for a Splunk Enterprise customer a Splunk Essentials customer someone using Splunk soar or even just an Enterprise Splunk customer that may be a small shop with three people and just wants to know where am I exposed so by creating and generating these reports and then having um the API that actually generates the dashboard they can take all of these events that we've logged and log them in and then where that then comes in is number two is how do we prioritize those logs right so how do we create visibility to logs that that um are have critical impacts and again as I mentioned earlier not all cves are high impact regard and also not all or low right so if you daisy chain a bunch of low cves together boom I've got a mission critical AP uh CPE that needs to be fixed now such as a credential moving to an NT box that's got a text file with a bunch of passwords on it that would be very bad um and then third would be uh verifying that you have all of the hosts so one of the things that splunk's not particularly great at and they'll literate themselves they don't do asset Discovery so dude what assets do we see and what are they logging from that um and then for from um for every event that they are able to identify one of the cool things that we can do is actually create this low code no code environment so they could let you know Splunk customers can use Splunk sword to actually triage events and prioritize that event so where they're being routed within it to optimize the Sox team time to Market or time to triage any given event obviously reducing MTR and then finally I think one of the neatest things that we'll be seeing us develop is um our ability to build glass cables so behind me you'll see one of our triage events and how we build uh a Lockheed Martin kill chain on that with a glass table which is very familiar to the community we're going to have the ability and not too distant future to allow people to search observe on those iocs and if people aren't familiar with it ioc it's an instant of a compromise so that's a vector that we want to drill into and of course who's better at Drilling in the data and smoke yeah this is a critter this is an awesome Synergy there I mean I can see a Splunk customer going man this just gives me so much more capability action actionability and also real understanding and I think this is what I want to dig into if you don't mind understanding that critical impact okay is kind of where I see this coming got the data data ingest now data's data but the question is what not to log you know where are things misconfigured these are critical questions so can you talk about what it means to understand critical impact yeah so I think you know going back to the things that I just spoke about a lot of those cves where you'll see um uh low low low and then you daisy chain together and they're suddenly like oh this is high now but then your other impact of like if you're if you're a Splunk customer you know and I had it I had several of them I had one customer that you know terabytes of McAfee data being brought in and it was like all right there's a lot of other data that you probably also want to bring but they could only afford wanted to do certain data sets because that's and they didn't know how to prioritize or filter those data sets and so we provide that opportunity to say hey these are the critical ones to bring in but there's also the ones that you don't necessarily need to bring in because low cve in this case really does mean low cve like an ILO server would be one that um that's the print server uh where the uh your admin credentials are on on like a printer and so there will be credentials on that that's something that a hacker might go in to look at so although the cve on it is low is if you daisy chain with somebody that's able to get into that you might say Ah that's high and we would then potentially rank it giving our AI logic to say that's a moderate so put it on the scale and we prioritize those versus uh of all of these scanners just going to give you a bunch of CDs and good luck and translating that if I if I can and tell me if I'm wrong that kind of speaks to that whole lateral movement that's it challenge right print serve a great example looks stupid low end who's going to want to deal with the print server oh but it's connected into a critical system there's a path is that kind of what you're getting at yeah I use Daisy Chain I think that's from the community they came from uh but it's just a lateral movement it's exactly what they're doing in those low level low critical lateral movements is where the hackers are getting in right so that's the beauty thing about the uh the Uber example is that who would have thought you know I've got my monthly Factor authentication going in a human made a mistake we can't we can't not expect humans to make mistakes we're fallible right the reality is is once they were in the environment they could have protected themselves by running enough pen tests to know that they had certain uh exposed credentials that would have stopped the breach and they did not had not done that in their environment and I'm not poking yeah but it's an interesting Trend though I mean it's obvious if sometimes those low end items are also not protected well so it's easy to get at from a hacker standpoint but also the people in charge of them can be fished easily or spearfished because they're not paying attention because they don't have to no one ever told them hey be careful yeah for the community that I came from John that's exactly how they they would uh meet you at a uh an International Event um introduce themselves as a graduate student these are National actor States uh would you mind reviewing my thesis on such and such and I was at Adobe at the time that I was working on this instead of having to get the PDF they opened the PDF and whoever that customer was launches and I don't know if you remember back in like 2008 time frame there was a lot of issues around IP being by a nation state being stolen from the United States and that's exactly how they did it and John that's or LinkedIn hey I want to get a joke we want to hire you double the salary oh I'm gonna click on that for sure you know yeah right exactly yeah the one thing I would say to you is like uh when we look at like sort of you know because I think we did 10 000 pen tests last year is it's probably over that now you know we have these sort of top 10 ways that we think and find people coming into the environment the funniest thing is that only one of them is a cve related vulnerability like uh you know you guys know what they are right so it's it but it's it's like two percent of the attacks are occurring through the cves but yeah there's all that attention spent to that and very little attention spent to this pen testing side which is sort of this continuous threat you know monitoring space and and this vulnerability space where I think we play a such an important role and I'm so excited to be a part of the tip of the spear on this one yeah I'm old enough to know the movie sneakers which I loved as a you know watching that movie you know professional hackers are testing testing always testing the environment I love this I got to ask you as we kind of wrap up here Chris if you don't mind the the benefits to Professional Services from this Alliance big news Splunk and you guys work well together we see that clearly what are what other benefits do Professional Services teams see from the Splunk and Horizon 3.ai Alliance so if you're I think for from our our from both of our uh Partners uh as we bring these guys together and many of them already are the same partner right uh is that uh first off the licensing model is probably one of the key areas that we really excel at so if you're an end user you can buy uh for the Enterprise by the number of IP addresses you're using um but uh if you're a partner working with this there's solution ways that you can go in and we'll license as to msps and what that business model on msps looks like but the unique thing that we do here is this C plus license and so the Consulting plus license allows like a uh somebody a small to mid-sized to some very large uh you know Fortune 100 uh consulting firms use this uh by buying into a license called um Consulting plus where they can have unlimited uh access to as many IPS as they want but you can only run one test at a time and as you can imagine when we're going and hacking passwords and um checking hashes and decrypting hashes that can take a while so but for the right customer it's it's a perfect tool and so I I'm so excited about our ability to go to market with uh our partners so that we understand ourselves understand how not to just sell to or not tell just to sell through but we know how to sell with them as a good vendor partner I think that that's one thing that we've done a really good job building bring it into the market yeah I think also the Splunk has had great success how they've enabled uh partners and Professional Services absolutely you know the services that layer on top of Splunk are multi-fold tons of great benefits so you guys Vector right into that ride that way with friction and and the cool thing is that in you know in one of our reports which could be totally customized uh with someone else's logo we're going to generate you know so I I used to work in another organization it wasn't Splunk but we we did uh you know pen testing as for for customers and my pen testers would come on site they'd do the engagement and they would leave and then another release someone would be oh shoot we got another sector that was breached and they'd call you back you know four weeks later and so by August our entire pen testings teams would be sold out and it would be like well even in March maybe and they're like no no I gotta breach now and and and then when they do go in they go through do the pen test and they hand over a PDF and they pack on the back and say there's where your problems are you need to fix it and the reality is that what we're going to generate completely autonomously with no human interaction is we're going to go and find all the permutations of anything we found and the fix for those permutations and then once you've fixed everything you just go back and run another pen test it's you know for what people pay for one pen test they can have a tool that does that every every Pat patch on Tuesday and that's on Wednesday you know triage throughout the week green yellow red I wanted to see the colors show me green green is good right not red and one CIO doesn't want who doesn't want that dashboard right it's it's exactly it and we can help bring I think that you know I'm really excited about helping drive this with the Splunk team because they get that they understand that it's the green yellow red dashboard and and how do we help them find more green uh so that the other guys are in red yeah and get in the data and do the right thing and be efficient with how you use the data know what to look at so many things to pay attention to you know the combination of both and then go to market strategy real brilliant congratulations Chris thanks for coming on and sharing um this news with the detail around the Splunk in action around the alliance thanks for sharing John my pleasure thanks look forward to seeing you soon all right great we'll follow up and do another segment on devops and I.T and security teams as the new new Ops but and super cloud a bunch of other stuff so thanks for coming on and our next segment the CEO of horizon 3.aa will break down all the new news for us here on thecube you're watching thecube the leader in high tech Enterprise coverage [Music] yeah the partner program for us has been fantastic you know I think prior to that you know as most organizations most uh uh most Farmers most mssps might not necessarily have a a bench at all for penetration testing uh maybe they subcontract this work out or maybe they do it themselves but trying to staff that kind of position can be incredibly difficult for us this was a differentiator a a new a new partner a new partnership that allowed us to uh not only perform services for our customers but be able to provide a product by which that they can do it themselves so we work with our customers in a variety of ways some of them want more routine testing and perform this themselves but we're also a certified service provider of horizon 3 being able to perform uh penetration tests uh help review the the data provide color provide analysis for our customers in a broader sense right not necessarily the the black and white elements of you know what was uh what's critical what's high what's medium what's low what you need to fix but are there systemic issues this has allowed us to onboard new customers this has allowed us to migrate some penetration testing services to us from from competitors in the marketplace But ultimately this is occurring because the the product and the outcome are special they're unique and they're effective our customers like what they're seeing they like the routineness of it many of them you know again like doing this themselves you know being able to kind of pen test themselves parts of their networks um and the the new use cases right I'm a large organization I have eight to ten Acquisitions per year wouldn't it be great to have a tool to be able to perform a penetration test both internal and external of that acquisition before we integrate the two companies and maybe bringing on some risk it's a very effective partnership uh one that really is uh kind of taken our our Engineers our account Executives by storm um you know this this is a a partnership that's been very valuable to us [Music] a key part of the value and business model at Horizon 3 is enabling Partners to leverage node zero to make more revenue for themselves our goal is that for sixty percent of our Revenue this year will be originated by partners and that 95 of our Revenue next year will be originated by partners and so a key to that strategy is making us an integral part of your business models as a partner a key quote from one of our partners is that we enable every one of their business units to generate Revenue so let's talk about that in a little bit more detail first is that if you have a pen test Consulting business take Deloitte as an example what was six weeks of human labor at Deloitte per pen test has been cut down to four days of Labor using node zero to conduct reconnaissance find all the juicy interesting areas of the of the Enterprise that are exploitable and being able to go assess the entire organization and then all of those details get served up to the human to be able to look at understand and determine where to probe deeper so what you see in that pen test Consulting business is that node zero becomes a force multiplier where those Consulting teams were able to cover way more accounts and way more IPS within those accounts with the same or fewer consultants and so that directly leads to profit margin expansion for the Penn testing business itself because node 0 is a force multiplier the second business model here is if you're an mssp as an mssp you're already making money providing defensive cyber security operations for a large volume of customers and so what they do is they'll license node zero and use us as an upsell to their mssb business to start to deliver either continuous red teaming continuous verification or purple teaming as a service and so in that particular business model they've got an additional line of Revenue where they can increase the spend of their existing customers by bolting on node 0 as a purple team as a service offering the third business model or customer type is if you're an I.T services provider so as an I.T services provider you make money installing and configuring security products like Splunk or crowdstrike or hemio you also make money reselling those products and you also make money generating follow-on services to continue to harden your customer environments and so for them what what those it service providers will do is use us to verify that they've installed Splunk correctly improved to their customer that Splunk was installed correctly or crowdstrike was installed correctly using our results and then use our results to drive follow-on services and revenue and then finally we've got the value-added reseller which is just a straight up reseller because of how fast our sales Cycles are these vars are able to typically go from cold email to deal close in six to eight weeks at Horizon 3 at least a single sales engineer is able to run 30 to 50 pocs concurrently because our pocs are very lightweight and don't require any on-prem customization or heavy pre-sales post sales activity so as a result we're able to have a few amount of sellers driving a lot of Revenue and volume for us well the same thing applies to bars there isn't a lot of effort to sell the product or prove its value so vars are able to sell a lot more Horizon 3 node zero product without having to build up a huge specialist sales organization so what I'm going to do is talk through uh scenario three here as an I.T service provider and just how powerful node zero can be in driving additional Revenue so in here think of for every one dollar of node zero license purchased by the IT service provider to do their business it'll generate ten dollars of additional revenue for that partner so in this example kidney group uses node 0 to verify that they have installed and deployed Splunk correctly so Kitty group is a Splunk partner they they sell it services to install configure deploy and maintain Splunk and as they deploy Splunk they're going to use node 0 to attack the environment and make sure that the right logs and alerts and monitoring are being handled within the Splunk deployment so it's a way of doing QA or verifying that Splunk has been configured correctly and that's going to be internally used by kidney group to prove the quality of their services that they've just delivered then what they're going to do is they're going to show and leave behind that node zero Report with their client and that creates a resell opportunity for for kidney group to resell node 0 to their client because their client is seeing the reports and the results and saying wow this is pretty amazing and those reports can be co-branded where it's a pen testing report branded with kidney group but it says powered by Horizon three under it from there kidney group is able to take the fixed actions report that's automatically generated with every pen test through node zero and they're able to use that as the starting point for a statement of work to sell follow-on services to fix all of the problems that node zero identified fixing l11r misconfigurations fixing or patching VMware or updating credentials policies and so on so what happens is node 0 has found a bunch of problems the client often lacks the capacity to fix and so kidney group can use that lack of capacity by the client as a follow-on sales opportunity for follow-on services and finally based on the findings from node zero kidney group can look at that report and say to the customer you know customer if you bought crowdstrike you'd be able to uh prevent node Zero from attacking and succeeding in the way that it did for if you bought humano or if you bought Palo Alto networks or if you bought uh some privileged access management solution because of what node 0 was able to do with credential harvesting and attacks and so as a result kidney group is able to resell other security products within their portfolio crowdstrike Falcon humano Polito networks demisto Phantom and so on based on the gaps that were identified by node zero and that pen test and what that creates is another feedback loop where kidney group will then go use node 0 to verify that crowdstrike product has actually been installed and configured correctly and then this becomes the cycle of using node 0 to verify a deployment using that verification to drive a bunch of follow-on services and resell opportunities which then further drives more usage of the product now the way that we licensed is that it's a usage-based license licensing model so that the partner will grow their node zero Consulting plus license as they grow their business so for example if you're a kidney group then week one you've got you're going to use node zero to verify your Splunk install in week two if you have a pen testing business you're going to go off and use node zero to be a force multiplier for your pen testing uh client opportunity and then if you have an mssp business then in week three you're going to use node zero to go execute a purple team mssp offering for your clients so not necessarily a kidney group but if you're a Deloitte or ATT these larger companies and you've got multiple lines of business if you're Optive for instance you all you have to do is buy one Consulting plus license and you're going to be able to run as many pen tests as you want sequentially so now you can buy a single license and use that one license to meet your week one client commitments and then meet your week two and then meet your week three and as you grow your business you start to run multiple pen tests concurrently so in week one you've got to do a Splunk verify uh verify Splunk install and you've got to run a pen test and you've got to do a purple team opportunity you just simply expand the number of Consulting plus licenses from one license to three licenses and so now as you systematically grow your business you're able to grow your node zero capacity with you giving you predictable cogs predictable margins and once again 10x additional Revenue opportunity for that investment in the node zero Consulting plus license my name is Saint I'm the co-founder and CEO here at Horizon 3. I'm going to talk to you today about why it's important to look at your Enterprise Through The Eyes of an attacker the challenge I had when I was a CIO in banking the CTO at Splunk and serving within the Department of Defense is that I had no idea I was Secure until the bad guys had showed up am I logging the right data am I fixing the right vulnerabilities are my security tools that I've paid millions of dollars for actually working together to defend me and the answer is I don't know does my team actually know how to respond to a breach in the middle of an incident I don't know I've got to wait for the bad guys to show up and so the challenge I had was how do we proactively verify our security posture I tried a variety of techniques the first was the use of vulnerability scanners and the challenge with vulnerability scanners is being vulnerable doesn't mean you're exploitable I might have a hundred thousand findings from my scanner of which maybe five or ten can actually be exploited in my environment the other big problem with scanners is that they can't chain weaknesses together from machine to machine so if you've got a thousand machines in your environment or more what a vulnerability scanner will do is tell you you have a problem on machine one and separately a problem on machine two but what they can tell you is that an attacker could use a load from machine one plus a low from machine two to equal to critical in your environment and what attackers do in their tactics is they chain together misconfigurations dangerous product defaults harvested credentials and exploitable vulnerabilities into attack paths across different machines so to address the attack pads across different machines I tried layering in consulting-based pen testing and the issue is when you've got thousands of hosts or hundreds of thousands of hosts in your environment human-based pen testing simply doesn't scale to test an infrastructure of that size moreover when they actually do execute a pen test and you get the report oftentimes you lack the expertise within your team to quickly retest to verify that you've actually fixed the problem and so what happens is you end up with these pen test reports that are incomplete snapshots and quickly going stale and then to mitigate that problem I tried using breach and attack simulation tools and the struggle with these tools is one I had to install credentialed agents everywhere two I had to write my own custom attack scripts that I didn't have much talent for but also I had to maintain as my environment changed and then three these types of tools were not safe to run against production systems which was the the majority of my attack surface so that's why we went off to start Horizon 3. so Tony and I met when we were in Special Operations together and the challenge we wanted to solve was how do we do infrastructure security testing at scale by giving the the power of a 20-year pen testing veteran into the hands of an I.T admin a network engineer in just three clicks and the whole idea is we enable these fixers The Blue Team to be able to run node Zero Hour pen testing product to quickly find problems in their environment that blue team will then then go off and fix the issues that were found and then they can quickly rerun the attack to verify that they fixed the problem and the whole idea is delivering this without requiring custom scripts be developed without requiring credential agents be installed and without requiring the use of external third-party consulting services or Professional Services self-service pen testing to quickly Drive find fix verify there are three primary use cases that our customers use us for the first is the sock manager that uses us to verify that their security tools are actually effective to verify that they're logging the right data in Splunk or in their Sim to verify that their managed security services provider is able to quickly detect and respond to an attack and hold them accountable for their slas or that the sock understands how to quickly detect and respond and measuring and verifying that or that the variety of tools that you have in your stack most organizations have 130 plus cyber security tools none of which are designed to work together are actually working together the second primary use case is proactively hardening and verifying your systems this is when the I that it admin that network engineer they're able to run self-service pen tests to verify that their Cisco environment is installed in hardened and configured correctly or that their credential policies are set up right or that their vcenter or web sphere or kubernetes environments are actually designed to be secure and what this allows the it admins and network Engineers to do is shift from running one or two pen tests a year to 30 40 or more pen tests a month and you can actually wire those pen tests into your devops process or into your detection engineering and the change management processes to automatically trigger pen tests every time there's a change in your environment the third primary use case is for those organizations lucky enough to have their own internal red team they'll use node zero to do reconnaissance and exploitation at scale and then use the output as a starting point for the humans to step in and focus on the really hard juicy stuff that gets them on stage at Defcon and so these are the three primary use cases and what we'll do is zoom into the find fix verify Loop because what I've found in my experience is find fix verify is the future operating model for cyber security organizations and what I mean here is in the find using continuous pen testing what you want to enable is on-demand self-service pen tests you want those pen tests to find attack pads at scale spanning your on-prem infrastructure your Cloud infrastructure and your perimeter because attackers don't only state in one place they will find ways to chain together a perimeter breach a credential from your on-prem to gain access to your cloud or some other permutation and then the third part in continuous pen testing is attackers don't focus on critical vulnerabilities anymore they know we've built vulnerability Management Programs to reduce those vulnerabilities so attackers have adapted and what they do is chain together misconfigurations in your infrastructure and software and applications with dangerous product defaults with exploitable vulnerabilities and through the collection of credentials through a mix of techniques at scale once you've found those problems the next question is what do you do about it well you want to be able to prioritize fixing problems that are actually exploitable in your environment that truly matter meaning they're going to lead to domain compromise or domain user compromise or access your sensitive data the second thing you want to fix is making sure you understand what risk your crown jewels data is exposed to where is your crown jewels data is in the cloud is it on-prem has it been copied to a share drive that you weren't aware of if a domain user was compromised could they access that crown jewels data you want to be able to use the attacker's perspective to secure the critical data you have in your infrastructure and then finally as you fix these problems you want to quickly remediate and retest that you've actually fixed the issue and this fine fix verify cycle becomes that accelerator that drives purple team culture the third part here is verify and what you want to be able to do in the verify step is verify that your security tools and processes in people can effectively detect and respond to a breach you want to be able to integrate that into your detection engineering processes so that you know you're catching the right security rules or that you've deployed the right configurations you also want to make sure that your environment is adhering to the best practices around systems hardening in cyber resilience and finally you want to be able to prove your security posture over a time to your board to your leadership into your regulators so what I'll do now is zoom into each of these three steps so when we zoom in to find here's the first example using node 0 and autonomous pen testing and what an attacker will do is find a way to break through the perimeter in this example it's very easy to misconfigure kubernetes to allow an attacker to gain remote code execution into your on-prem kubernetes environment and break through the perimeter and from there what the attacker is going to do is conduct Network reconnaissance and then find ways to gain code execution on other machines in the environment and as they get code execution they start to dump credentials collect a bunch of ntlm hashes crack those hashes using open source and dark web available data as part of those attacks and then reuse those credentials to log in and laterally maneuver throughout the environment and then as they loudly maneuver they can reuse those credentials and use credential spraying techniques and so on to compromise your business email to log in as admin into your cloud and this is a very common attack and rarely is a CV actually needed to execute this attack often it's just a misconfiguration in kubernetes with a bad credential policy or password policy combined with bad practices of credential reuse across the organization here's another example of an internal pen test and this is from an actual customer they had 5 000 hosts within their environment they had EDR and uba tools installed and they initiated in an internal pen test on a single machine from that single initial access point node zero enumerated the network conducted reconnaissance and found five thousand hosts were accessible what node 0 will do under the covers is organize all of that reconnaissance data into a knowledge graph that we call the Cyber terrain map and that cyber Terrain map becomes the key data structure that we use to efficiently maneuver and attack and compromise your environment so what node zero will do is they'll try to find ways to get code execution reuse credentials and so on in this customer example they had Fortinet installed as their EDR but node 0 was still able to get code execution on a Windows machine from there it was able to successfully dump credentials including sensitive credentials from the lsas process on the Windows box and then reuse those credentials to log in as domain admin in the network and once an attacker becomes domain admin they have the keys to the kingdom they can do anything they want so what happened here well it turns out Fortinet was misconfigured on three out of 5000 machines bad automation the customer had no idea this had happened they would have had to wait for an attacker to show up to realize that it was misconfigured the second thing is well why didn't Fortinet stop the credential pivot in the lateral movement and it turned out the customer didn't buy the right modules or turn on the right services within that particular product and we see this not only with Ford in it but we see this with Trend Micro and all the other defensive tools where it's very easy to miss a checkbox in the configuration that will do things like prevent credential dumping the next story I'll tell you is attackers don't have to hack in they log in so another infrastructure pen test a typical technique attackers will take is man in the middle uh attacks that will collect hashes so in this case what an attacker will do is leverage a tool or technique called responder to collect ntlm hashes that are being passed around the network and there's a variety of reasons why these hashes are passed around and it's a pretty common misconfiguration but as an attacker collects those hashes then they start to apply techniques to crack those hashes so they'll pass the hash and from there they will use open source intelligence common password structures and patterns and other types of techniques to try to crack those hashes into clear text passwords so here node 0 automatically collected hashes it automatically passed the hashes to crack those credentials and then from there it starts to take the domain user user ID passwords that it's collected and tries to access different services and systems in your Enterprise in this case node 0 is able to successfully gain access to the Office 365 email environment because three employees didn't have MFA configured so now what happens is node 0 has a placement and access in the business email system which sets up the conditions for fraud lateral phishing and other techniques but what's especially insightful here is that 80 of the hashes that were collected in this pen test were cracked in 15 minutes or less 80 percent 26 of the user accounts had a password that followed a pretty obvious pattern first initial last initial and four random digits the other thing that was interesting is 10 percent of service accounts had their user ID the same as their password so VMware admin VMware admin web sphere admin web Square admin so on and so forth and so attackers don't have to hack in they just log in with credentials that they've collected the next story here is becoming WS AWS admin so in this example once again internal pen test node zero gets initial access it discovers 2 000 hosts are network reachable from that environment if fingerprints and organizes all of that data into a cyber Terrain map from there it it fingerprints that hpilo the integrated lights out service was running on a subset of hosts hpilo is a service that is often not instrumented or observed by security teams nor is it easy to patch as a result attackers know this and immediately go after those types of services so in this case that ILO service was exploitable and were able to get code execution on it ILO stores all the user IDs and passwords in clear text in a particular set of processes so once we gain code execution we were able to dump all of the credentials and then from there laterally maneuver to log in to the windows box next door as admin and then on that admin box we're able to gain access to the share drives and we found a credentials file saved on a share Drive from there it turned out that credentials file was the AWS admin credentials file giving us full admin authority to their AWS accounts not a single security alert was triggered in this attack because the customer wasn't observing the ILO service and every step thereafter was a valid login in the environment and so what do you do step one patch the server step two delete the credentials file from the share drive and then step three is get better instrumentation on privileged access users and login the final story I'll tell is a typical pattern that we see across the board with that combines the various techniques I've described together where an attacker is going to go off and use open source intelligence to find all of the employees that work at your company from there they're going to look up those employees on dark web breach databases and other forms of information and then use that as a starting point to password spray to compromise a domain user all it takes is one employee to reuse a breached password for their Corporate email or all it takes is a single employee to have a weak password that's easily guessable all it takes is one and once the attacker is able to gain domain user access in most shops domain user is also the local admin on their laptop and once your local admin you can dump Sam and get local admin until M hashes you can use that to reuse credentials again local admin on neighboring machines and attackers will start to rinse and repeat then eventually they're able to get to a point where they can dump lsas or by unhooking the anti-virus defeating the EDR or finding a misconfigured EDR as we've talked about earlier to compromise the domain and what's consistent is that the fundamentals are broken at these shops they have poor password policies they don't have least access privilege implemented active directory groups are too permissive where domain admin or domain user is also the local admin uh AV or EDR Solutions are misconfigured or easily unhooked and so on and what we found in 10 000 pen tests is that user Behavior analytics tools never caught us in that lateral movement in part because those tools require pristine logging data in order to work and also it becomes very difficult to find that Baseline of normal usage versus abnormal usage of credential login another interesting Insight is there were several Marquee brand name mssps that were defending our customers environment and for them it took seven hours to detect and respond to the pen test seven hours the pen test was over in less than two hours and so what you had was an egregious violation of the service level agreements that that mssp had in place and the customer was able to use us to get service credit and drive accountability of their sock and of their provider the third interesting thing is in one case it took us seven minutes to become domain admin in a bank that bank had every Gucci security tool you could buy yet in 7 minutes and 19 seconds node zero started as an unauthenticated member of the network and was able to escalate privileges through chaining and misconfigurations in lateral movement and so on to become domain admin if it's seven minutes today we should assume it'll be less than a minute a year or two from now making it very difficult for humans to be able to detect and respond to that type of Blitzkrieg attack so that's in the find it's not just about finding problems though the bulk of the effort should be what to do about it the fix and the verify so as you find those problems back to kubernetes as an example we will show you the path here is the kill chain we took to compromise that environment we'll show you the impact here is the impact or here's the the proof of exploitation that we were able to use to be able to compromise it and there's the actual command that we executed so you could copy and paste that command and compromise that cubelet yourself if you want and then the impact is we got code execution and we'll actually show you here is the impact this is a critical here's why it enabled perimeter breach affected applications will tell you the specific IPS where you've got the problem how it maps to the miter attack framework and then we'll tell you exactly how to fix it we'll also show you what this problem enabled so you can accurately prioritize why this is important or why it's not important the next part is accurate prioritization the hardest part of my job as a CIO was deciding what not to fix so if you take SMB signing not required as an example by default that CVSs score is a one out of 10. but this misconfiguration is not a cve it's a misconfig enable an attacker to gain access to 19 credentials including one domain admin two local admins and access to a ton of data because of that context this is really a 10 out of 10. you better fix this as soon as possible however of the seven occurrences that we found it's only a critical in three out of the seven and these are the three specific machines and we'll tell you the exact way to fix it and you better fix these as soon as possible for these four machines over here these didn't allow us to do anything of consequence so that because the hardest part is deciding what not to fix you can justifiably choose not to fix these four issues right now and just add them to your backlog and surge your team to fix these three as quickly as possible and then once you fix these three you don't have to re-run the entire pen test you can select these three and then one click verify and run a very narrowly scoped pen test that is only testing this specific issue and what that creates is a much faster cycle of finding and fixing problems the other part of fixing is verifying that you don't have sensitive data at risk so once we become a domain user we're able to use those domain user credentials and try to gain access to databases file shares S3 buckets git repos and so on and help you understand what sensitive data you have at risk so in this example a green checkbox means we logged in as a valid domain user we're able to get read write access on the database this is how many records we could have accessed and we don't actually look at the values in the database but we'll show you the schema so you can quickly characterize that pii data was at risk here and we'll do that for your file shares and other sources of data so now you can accurately articulate the data you have at risk and prioritize cleaning that data up especially data that will lead to a fine or a big news issue so that's the find that's the fix now we're going to talk about the verify the key part in verify is embracing and integrating with detection engineering practices so when you think about your layers of security tools you've got lots of tools in place on average 130 tools at any given customer but these tools were not designed to work together so when you run a pen test what you want to do is say did you detect us did you log us did you alert on us did you stop us and from there what you want to see is okay what are the techniques that are commonly used to defeat an environment to actually compromise if you look at the top 10 techniques we use and there's far more than just these 10 but these are the most often executed nine out of ten have nothing to do with cves it has to do with misconfigurations dangerous product defaults bad credential policies and it's how we chain those together to become a domain admin or compromise a host so what what customers will do is every single attacker command we executed is provided to you as an attackivity log so you can actually see every single attacker command we ran the time stamp it was executed the hosts it executed on and how it Maps the minor attack tactics so our customers will have are these attacker logs on one screen and then they'll go look into Splunk or exabeam or Sentinel one or crowdstrike and say did you detect us did you log us did you alert on us or not and to make that even easier if you take this example hey Splunk what logs did you see at this time on the VMware host because that's when node 0 is able to dump credentials and that allows you to identify and fix your logging blind spots to make that easier we've got app integration so this is an actual Splunk app in the Splunk App Store and what you can come is inside the Splunk console itself you can fire up the Horizon 3 node 0 app all of the pen test results are here so that you can see all of the results in one place and you don't have to jump out of the tool and what you'll show you as I skip forward is hey there's a pen test here are the critical issues that we've identified for that weaker default issue here are the exact commands we executed and then we will automatically query into Splunk all all terms on between these times on that endpoint that relate to this attack so you can now quickly within the Splunk environment itself figure out that you're missing logs or that you're appropriately catching this issue and that becomes incredibly important in that detection engineering cycle that I mentioned earlier so how do our customers end up using us they shift from running one pen test a year to 30 40 pen tests a month oftentimes wiring us into their deployment automation to automatically run pen tests the other part that they'll do is as they run more pen tests they find more issues but eventually they hit this inflection point where they're able to rapidly clean up their environment and that inflection point is because the red and the blue teams start working together in a purple team culture and now they're working together to proactively harden their environment the other thing our customers will do is run us from different perspectives they'll first start running an RFC 1918 scope to see once the attacker gained initial access in a part of the network that had wide access what could they do and then from there they'll run us within a specific Network segment okay from within that segment could the attacker break out and gain access to another segment then they'll run us from their work from home environment could they Traverse the VPN and do something damaging and once they're in could they Traverse the VPN and get into my cloud then they'll break in from the outside all of these perspectives are available to you in Horizon 3 and node zero as a single SKU and you can run as many pen tests as you want if you run a phishing campaign and find that an intern in the finance department had the worst phishing behavior you can then inject their credentials and actually show the end-to-end story of how an attacker fished gained credentials of an intern and use that to gain access to sensitive financial data so what our customers end up doing is running multiple attacks from multiple perspectives and looking at those results over time I'll leave you two things one is what is the AI in Horizon 3 AI those knowledge graphs are the heart and soul of everything that we do and we use machine learning reinforcement techniques reinforcement learning techniques Markov decision models and so on to be able to efficiently maneuver and analyze the paths in those really large graphs we also use context-based scoring to prioritize weaknesses and we're also able to drive collective intelligence across all of the operations so the more pen tests we run the smarter we get and all of that is based on our knowledge graph analytics infrastructure that we have finally I'll leave you with this was my decision criteria when I was a buyer for my security testing strategy what I cared about was coverage I wanted to be able to assess my on-prem cloud perimeter and work from home and be safe to run in production I want to be able to do that as often as I wanted I want to be able to run pen tests in hours or days not weeks or months so I could accelerate that fine fix verify loop I wanted my it admins and network Engineers with limited offensive experience to be able to run a pen test in a few clicks through a self-service experience and not have to install agent and not have to write custom scripts and finally I didn't want to get nickeled and dimed on having to buy different types of attack modules or different types of attacks I wanted a single annual subscription that allowed me to run any type of attack as often as I wanted so I could look at my Trends in directions over time so I hope you found this talk valuable uh we're easy to find and I look forward to seeing seeing you use a product and letting our results do the talking when you look at uh you know kind of the way no our pen testing algorithms work is we dynamically select uh how to compromise an environment based on what we've discovered and the goal is to become a domain admin compromise a host compromise domain users find ways to encrypt data steal sensitive data and so on but when you look at the the top 10 techniques that we ended up uh using to compromise environments the first nine have nothing to do with cves and that's the reality cves are yes a vector but less than two percent of cves are actually used in a compromise oftentimes it's some sort of credential collection credential cracking uh credential pivoting and using that to become an admin and then uh compromising environments from that point on so I'll leave this up for you to kind of read through and you'll have the slides available for you but I found it very insightful that organizations and ourselves when I was a GE included invested heavily in just standard vulnerability Management Programs when I was at DOD that's all disa cared about asking us about was our our kind of our cve posture but the attackers have adapted to not rely on cves to get in because they know that organizations are actively looking at and patching those cves and instead they're chaining together credentials from one place with misconfigurations and dangerous product defaults in another to take over an environment a concrete example is by default vcenter backups are not encrypted and so as if an attacker finds vcenter what they'll do is find the backup location and there are specific V sender MTD files where the admin credentials are parsippled in the binaries so you can actually as an attacker find the right MTD file parse out the binary and now you've got the admin credentials for the vcenter environment and now start to log in as admin there's a bad habit by signal officers and Signal practitioners in the in the Army and elsewhere where the the VM notes section of a virtual image has the password for the VM well those VM notes are not stored encrypted and attackers know this and they're able to go off and find the VMS that are unencrypted find the note section and pull out the passwords for those images and then reuse those credentials across the board so I'll pause here and uh you know Patrick love you get some some commentary on on these techniques and other things that you've seen and what we'll do in the last say 10 to 15 minutes is uh is rolled through a little bit more on what do you do about it yeah yeah no I love it I think um I think this is pretty exhaustive what I like about what you've done here is uh you know we've seen we've seen double-digit increases in the number of organizations that are reporting actual breaches year over year for the last um for the last three years and it's often we kind of in the Zeitgeist we pegged that on ransomware which of course is like incredibly important and very top of mind um but what I like about what you have here is you know we're reminding the audience that the the attack surface area the vectors the matter um you know has to be more comprehensive than just thinking about ransomware scenarios yeah right on um so let's build on this when you think about your defense in depth you've got multiple security controls that you've purchased and integrated and you've got that redundancy if a control fails but the reality is that these security tools aren't designed to work together so when you run a pen test what you want to ask yourself is did you detect node zero did you log node zero did you alert on node zero and did you stop node zero and when you think about how to do that every single attacker command executed by node zero is available in an attacker log so you can now see you know at the bottom here vcenter um exploit at that time on that IP how it aligns to minor attack what you want to be able to do is go figure out did your security tools catch this or not and that becomes very important in using the attacker's perspective to improve your defensive security controls and so the way we've tried to make this easier back to like my my my the you know I bleed Green in many ways still from my smoke background is you want to be able to and what our customers do is hey we'll look at the attacker logs on one screen and they'll look at what did Splunk see or Miss in another screen and then they'll use that to figure out what their logging blind spots are and what that where that becomes really interesting is we've actually built out an integration into Splunk where there's a Splunk app you can download off of Splunk base and you'll get all of the pen test results right there in the Splunk console and from that Splunk console you're gonna be able to see these are all the pen tests that were run these are the issues that were found um so you can look at that particular pen test here are all of the weaknesses that were identified for that particular pen test and how they categorize out for each of those weaknesses you can click on any one of them that are critical in this case and then we'll tell you for that weakness and this is where where the the punch line comes in so I'll pause the video here for that weakness these are the commands that were executed on these endpoints at this time and then we'll actually query Splunk for that um for that IP address or containing that IP and these are the source types that surface any sort of activity so what we try to do is help you as quickly and efficiently as possible identify the logging blind spots in your Splunk environment based on the attacker's perspective so as this video kind of plays through you can see it Patrick I'd love to get your thoughts um just seeing so many Splunk deployments and the effectiveness of those deployments and and how this is going to help really Elevate the effectiveness of all of your Splunk customers yeah I'm super excited about this I mean I think this these kinds of purpose-built integration snail really move the needle for our customers I mean at the end of the day when I think about the power of Splunk I think about a product I was first introduced to 12 years ago that was an on-prem piece of software you know and at the time it sold on sort of Perpetual and term licenses but one made it special was that it could it could it could eat data at a speed that nothing else that I'd have ever seen you can ingest massively scalable amounts of data uh did cool things like schema on read which facilitated that there was this language called SPL that you could nerd out about uh and you went to a conference once a year and you talked about all the cool things you were splunking right but now as we think about the next phase of our growth um we live in a heterogeneous environment where our customers have so many different tools and data sources that are ever expanding and as you look at the as you look at the role of the ciso it's mind-blowing to me the amount of sources Services apps that are coming into the ciso span of let's just call it a span of influence in the last three years uh you know we're seeing things like infrastructure service level visibility application performance monitoring stuff that just never made sense for the security team to have visibility into you um at least not at the size and scale which we're demanding today um and and that's different and this isn't this is why it's so important that we have these joint purpose-built Integrations that um really provide more prescription to our customers about how do they walk on that Journey towards maturity what does zero to one look like what does one to two look like whereas you know 10 years ago customers were happy with platforms today they want integration they want Solutions and they want to drive outcomes and I think this is a great example of how together we are stepping to the evolving nature of the market and also the ever-evolving nature of the threat landscape and what I would say is the maturing needs of the customer in that environment yeah for sure I think especially if if we all anticipate budget pressure over the next 18 months due to the economy and elsewhere while the security budgets are not going to ever I don't think they're going to get cut they're not going to grow as fast and there's a lot more pressure on organizations to extract more value from their existing Investments as well as extracting more value and more impact from their existing teams and so security Effectiveness Fierce prioritization and automation I think become the three key themes of security uh over the next 18 months so I'll do very quickly is run through a few other use cases um every host that we identified in the pen test were able to score and say this host allowed us to do something significant therefore it's it's really critical you should be increasing your logging here hey these hosts down here we couldn't really do anything as an attacker so if you do have to make trade-offs you can make some trade-offs of your logging resolution at the lower end in order to increase logging resolution on the upper end so you've got that level of of um justification for where to increase or or adjust your logging resolution another example is every host we've discovered as an attacker we Expose and you can export and we want to make sure is every host we found as an attacker is being ingested from a Splunk standpoint a big issue I had as a CIO and user of Splunk and other tools is I had no idea if there were Rogue Raspberry Pi's on the network or if a new box was installed and whether Splunk was installed on it or not so now you can quickly start to correlate what hosts did we see and how does that reconcile with what you're logging from uh finally or second to last use case here on the Splunk integration side is for every single problem we've found we give multiple options for how to fix it this becomes a great way to prioritize what fixed actions to automate in your soar platform and what we want to get to eventually is being able to automatically trigger soar actions to fix well-known problems like automatically invalidating passwords for for poor poor passwords in our credentials amongst a whole bunch of other things we could go off and do and then finally if there is a well-known kill chain or attack path one of the things I really wish I could have done when I was a Splunk customer was take this type of kill chain that actually shows a path to domain admin that I'm sincerely worried about and use it as a glass table over which I could start to layer possible indicators of compromise and now you've got a great starting point for glass tables and iocs for actual kill chains that we know are exploitable in your environment and that becomes some super cool Integrations that we've got on the roadmap between us and the Splunk security side of the house so what I'll leave with actually Patrick before I do that you know um love to get your comments and then I'll I'll kind of leave with one last slide on this wartime security mindset uh pending you know assuming there's no other questions no I love it I mean I think this kind of um it's kind of glass table's approach to how do you how do you sort of visualize these workflows and then use things like sore and orchestration and automation to operationalize them is exactly where we see all of our customers going and getting away from I think an over engineered approach to soar with where it has to be super technical heavy with you know python programmers and getting more to this visual view of workflow creation um that really demystifies the power of Automation and also democratizes it so you don't have to have these programming languages in your resume in order to start really moving the needle on workflow creation policy enforcement and ultimately driving automation coverage across more and more of the workflows that your team is seeing yeah I think that between us being able to visualize the actual kill chain or attack path with you know think of a of uh the soar Market I think going towards this no code low code um you know configurable sore versus coded sore that's going to really be a game changer in improve or giving security teams a force multiplier so what I'll leave you with is this peacetime mindset of security no longer is sustainable we really have to get out of checking the box and then waiting for the bad guys to show up to verify that security tools are are working or not and the reason why we've got to really do that quickly is there are over a thousand companies that withdrew from the Russian economy over the past uh nine months due to the Ukrainian War there you should expect every one of them to be punished by the Russians for leaving and punished from a cyber standpoint and this is no longer about financial extortion that is ransomware this is about punishing and destroying companies and you can punish any one of these companies by going after them directly or by going after their suppliers and their Distributors so suddenly your attack surface is no more no longer just your own Enterprise it's how you bring your goods to Market and it's how you get your goods created because while I may not be able to disrupt your ability to harvest fruit if I can get those trucks stuck at the border I can increase spoilage and have the same effect and what we should expect to see is this idea of cyber-enabled economic Warfare where if we issue a sanction like Banning the Russians from traveling there is a cyber-enabled counter punch which is corrupt and destroy the American Airlines database that is below the threshold of War that's not going to trigger the 82nd Airborne to be mobilized but it's going to achieve the right effect ban the sale of luxury goods disrupt the supply chain and create shortages banned Russian oil and gas attack refineries to call a 10x spike in gas prices three days before the election this is the future and therefore I think what we have to do is shift towards a wartime mindset which is don't trust your security posture verify it see yourself Through The Eyes of the attacker build that incident response muscle memory and drive better collaboration between the red and the blue teams your suppliers and Distributors and your information uh sharing organization they have in place and what's really valuable for me as a Splunk customer was when a router crashes at that moment you don't know if it's due to an I.T Administration problem or an attacker and what you want to have are different people asking different questions of the same data and you want to have that integrated triage process of an I.T lens to that problem a security lens to that problem and then from there figuring out is is this an IT workflow to execute or a security incident to execute and you want to have all of that as an integrated team integrated process integrated technology stack and this is something that I very care I cared very deeply about as both a Splunk customer and a Splunk CTO that I see time and time again across the board so Patrick I'll leave you with the last word the final three minutes here and I don't see any open questions so please take us home oh man see how you think we spent hours and hours prepping for this together that that last uh uh 40 seconds of your talk track is probably one of the things I'm most passionate about in this industry right now uh and I think nist has done some really interesting work here around building cyber resilient organizations that have that has really I think helped help the industry see that um incidents can come from adverse conditions you know stress is uh uh performance taxations in the infrastructure service or app layer and they can come from malicious compromises uh Insider threats external threat actors and the more that we look at this from the perspective of of a broader cyber resilience Mission uh in a wartime mindset uh I I think we're going to be much better off and and will you talk about with operationally minded ice hacks information sharing intelligence sharing becomes so important in these wartime uh um situations and you know we know not all ice acts are created equal but we're also seeing a lot of um more ad hoc information sharing groups popping up so look I think I think you framed it really really well I love the concept of wartime mindset and um I I like the idea of applying a cyber resilience lens like if you have one more layer on top of that bottom right cake you know I think the it lens and the security lens they roll up to this concept of cyber resilience and I think this has done some great work there for us yeah you're you're spot on and that that is app and that's gonna I think be the the next um terrain that that uh that you're gonna see vendors try to get after but that I think Splunk is best position to win okay that's a wrap for this special Cube presentation you heard all about the global expansion of horizon 3.ai's partner program for their Partners have a unique opportunity to take advantage of their node zero product uh International go to Market expansion North America channel Partnerships and just overall relationships with companies like Splunk to make things more comprehensive in this disruptive cyber security world we live in and hope you enjoyed this program all the videos are available on thecube.net as well as check out Horizon 3 dot AI for their pen test Automation and ultimately their defense system that they use for testing always the environment that you're in great Innovative product and I hope you enjoyed the program again I'm John Furrier host of the cube thanks for watching

Published Date : Sep 28 2022

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Natasha | DigitalBits VIP Gala Dinner Monaco


 

(upbeat music) >> Hello, everyone. Welcome back to theCUBE's extended coverage. I'm John Furrier, host of theCUBE. We are here in Monaco at the Yacht Club, part of the VIP Gala with Prince Albert, DigitalBits, theCUBE. theCUBE and Prince Albert celebrating Monaco leaning into crypto. I'm here with Natasha Mahfar, who's our guest. She just came on theCUBE. Great story. Great to see you. Thanks for coming on. >> Thank you so much for having me. >> Tell the folks what you do real quick. >> Sure. So I actually started my career in Silicon Valley, like you have. And I had the idea of creating a startup in mental health that was voice based only. So it was peer to peer support groups via voice. So I created this startup, pretended to be a student at Stanford and built out a whole team, and unfortunately, at that time, no one was in the space of mental health and voice. Now, as you know, it's a $30 billion industry that's one of the biggest in Silicon Valley. So my career really started from there. And due to that startup, I got involved in the World XR Forum. Now, the World XR Forum is kind of like a mini Davos, but a little bit more exclusive, where we host entrepreneurs, people in blockchain, crypto, and we have a five day event covering all sorts of topics. So- >> When you host them, you mean like host them and they hang out and sleep over? It's a hotel? Is it an event? A workshop? >> There's workshops. We arrange hotels. We pretty much arrange everything that there is. >> It's a group get together. >> It's a group get together. Pretty much like Davos. >> And so Natasha, I wanted to talk to you about what we're passionate about which is theCUBE is bringing people up to have a voice and give them a voice. Give people a platform. You don't have to be famous. If you have something to say and share, we found that right now in this environment with media, we go out to an event, we stream as many stories, but we also have the virtual version of our studio. And I could tell you, I've found that internationally now as we bring people together, there are so many great stories. >> Absolutely. >> Out there that need to be told. And the bottleneck isn't the media, it's the fact that it's open now. >> Yes. >> So why aren't the stories coming out? So our mission is to get the stories. >> Wow. >> Scale stories. The more stories that are scaled, the more people can feel it. More people are impacted by it, and it changes the world. It gets people serendipity with data 'cause we're, you know, you shared some data about what you're working on. >> Yeah, of course. It's all about data these days. And the fact that you're doing it so openly is great because there is a need for that today, so. >> What do you see right now in the market for media? I mean, we got emerging markets, a lot of misinformation. Trust is a big problem. >> Right. >> Bullying, harassing. Smear campaigns. What's news, what's not news. I mean, how do you get your news? I mean, how do people figure out what's going on? >> No, absolutely. And this is such a pure format and a way of doing it. How did you come up with the idea, and how did you start? >> Well, I started... I realized after the Web 2.0, when social media started taking over and ruining the democratization . Blogging, podcasting, which I started in 2004, one of the first podcasts in Silicon Valley. >> Wow. >> I saw the network of that. I saw the value that people had when normal people, they call it user generated content, shared information. And I discovered something amazing that a nobody like me can have a really top podcast. >> Well, you're definitely not a nobody, but... >> Well, I was back then. And nobody knew me back then. But what it is is that even... If you put your voice out there, people will connect to it. And if you have the ability to bring other people in, you start to see a social dynamic. And what social media ruined, Facebook, Twitter, not so much Twitter 'cause Twitter's more smeary, but it's still got to open the API, LinkedIn, they're all terrible. They're all gardens. They don't really bring people together, so I think that stalled for about almost eight years or nine years. Now, with crypto and decentralization, you start to see the same thing come back. Democratization, level the playing field, remove the middle man and person, intermediate the middle bottlenecks. So with media, we found that live streaming and going to events was what the community wants. And then interviewing people, and getting their ideas out there. Not promotional, not getting paid to say stuff. Yeah, they get the plug in for the company that they're working on, that's good for everybody. But more share something that you're passionate about, data. And it works. And people like it. And we've been doing it for 12 years, and it creates a great brand of openness, community, and network effect. So we scaled up the brand to be- >> And it seems like you're international now. I mean, we're sitting in Monte Carlo, so I don't think it gets better than that. >> Well, in 2016, we started going international. 2017, we started doing stuff in Europe. 2018, we did the crypto, Middle East. And we also did London, a lot of different events. We had B2B Enterprise and Crypto Blooming. 2019, we were like, "Let's go global with staff and whatnot." >> Wow. >> And the pandemic hits. >> I know. >> And that really kind of allowed us to pivot and turn us into a virtual hybrid. And that's why we're into the metaverse, as we see the value of a physical face to face event where intimacy's there, but why aren't my friends connected first party? >> Right. How much would you say the company has grown from the time that you kind of pivoted? >> Well, we've grown in a different direction with new capabilities because the old way is over. >> Right. >> Every event right now, this event here, is in person. People are talking. They get connections. But every person that's connecting has a social graph behind them that's online too, and immediately available. And with Instagram, direct messaging, Telegram, Signal, all there. >> It's brilliant. Honestly, it was brilliant idea and a brilliant pivot. >> Thank you for interviewing me. >> Yeah, of course. (Natasha and John laugh) >> Any other questions? >> That should do it. >> Okay. Are you going to have fun tonight? >> Absolutely. >> What is your take of the Monaco scene here? What's it like? >> You know, I think it's a really interesting scene. I think there's a lot of potential because this is such an international place so it draws a very eclectic crowd, and I think there's a lot that could be done here. And you have a lot of people from Europe that are starting to get into this whole crypto, leaving kind of the traditional banks and finance behind. So I think the potential is very strong. >> Very progressive. Well, Natasha, thank you for sharing. >> Thank you so much. >> Here on theCUBE. We're the extended edition CUBE here in Monaco with Prince Albert, theCUBE, and Prince Albert, DigitalBits Al Burgio, a great market here for them. And just an amazing time. And thanks for watching. Natasha, thanks for coming on. Thanks for watching theCUBE. We'll be back with more after this break. (upbeat music)

Published Date : Aug 22 2022

SUMMARY :

part of the VIP Gala with Prince Albert, And I had the idea of creating everything that there is. It's a group get together. And so Natasha, I wanted to talk to you And the bottleneck isn't the media, So our mission is to get the stories. the more people can feel it. And the fact that you're now in the market for media? I mean, how do you get your news? And this is such a pure I realized after the Web 2.0, I saw the network of that. Well, you're definitely And if you have the ability And it seems like And we also did London, a And that really kind from the time that you kind of pivoted? because the old way is over. And with Instagram, direct it was brilliant idea Yeah, of course. to have fun tonight? And you have a lot of people from Europe Well, Natasha, thank you for sharing. We're the extended edition

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Kate Goodall, Halcyon | Women in Tech: International Women's Day


 

>>Yeah. Hello and welcome to the Cuba's International Women's Showcase, featuring International Women's Day. I'm John, host of the Kiwi here in California. Great remote guest. She's amazing founder and C e O of Cuba, and great to see you. Okay, thanks for coming on. Um, good to see you. >>You as well. Always a pleasure. You >>know, International Women's Day is the big celebration. We're doing a lot of interviews with great people making things happen, moving and shaking things. Um, but every day, International Women's Day, As far as I'm concerned, it's happening all around the world. But these are stories of innovation, the stories of changes, the stories of transformation for the better. You've been doing a lot of things. Um and I want to get into that. But let's start with your background. Tell us a bit about who you are and what you've got going on. >>Yeah, my background is a little strange. I used to be a maritime archaeologists. So dumb shit breaks for a little bit. That was amazing. I always just It's only partial just because it's actually a bit of truth to it, that learning how to, you know, handle things at depth really does train you to be a C e o. Because you learn to control your breath and and focus on the things that matter and not be so reactive because it's three activity that will panic that will kill you. Uh, always knowing how to reframe. Return to the basics. Um, there's a really good things to hold on to, even in the world of business. Right? So I at some point, ended up doing doing a lot of things. Largely business development, following my time diving and amazing woman. Um, another woman for International Women's Day named Doctor who was a biotech entrepreneur from Japan, stepping down as her role at the helm of her company. Um, and she wanted to launch a space for a young innovators from around the world who are doing amazing work to tackle this very complex challenges we all know exist, um, and figure out a way to give them time and space to do their best work and pursue their their highest visions for change. We decided that we would focus on for-profit companies largely who were using sustainable, scalable business models to pursue both profit and purpose. Um creating a virtuous cycle between the return of money to a company and putting that into to go even further and faster towards, um, solving a problem. Um, so we now have companies over 200 companies from around the world that we have helped support tackling every single, sustainable development goal. Um, and I'm proud to say, you know, particularly related to the subject that fifty-nine percent of our companies have a woman founder or CO-FOUNDER. Um, and 69% of the founder of color. Um, so we're working with entrepreneurs from every every area of the world. Many approximate to the problem that they are trying to solve, so they intimately understand it. Um, and they're doing amazing things. >>Yeah, you can help the great mission. You have a lot of other things going on your helping women encouraging them to your career in the tech sector. Um, good statistics could be better, right? Is higher and better. So, um, what are you guys doing? What, you specifically to help and encourage women to forge their career and tech? >>Yeah. I mean, look, the good news is I do think that it's getting better. I particularly think that we will see the adventure is improving. Um, it takes a while because the companies that have been funded up until now are still working in the biggest amount in the later stages. So I think that percentage hasn't been shifting. But I have to believe that that's a bit of an illusion, and then a couple of years, we're going to start to sea level out. But you know as well as I do that they're pretty poultry statistics in terms of the amount of venture that women like cos. Capture, Um, and the other ways that women are doubted, um, in terms of their ability and potential. Um, so we we love to work with any underrepresented group of entrepreneurs, and there's ways that we do that whether it's helping them sort of find their power and hold space and be confident. And, um, you know, be able to pitch to any room, talk to any investor, talk to any customer but also working to be directed about some of the systemic challenges, both in terms of talking to existing investors and trying to educate them to see the opportunities that they're missing because there is a an economic imperative to them understanding what they're missing. Um, but there's also some things that we're doing in-house to make sure that we're also helping to close capital gaps for all our entrepreneurs. So we actually now have a suite of three capital mechanisms that are entrepreneurs can access on the back end of our incubator, a microphone fund, which is very quick turnaround, small amounts of capital for entrepreneurs who existing opportunities owns, which is a tax destination. Just this in the U. S. But that's meant to be deployed so that they can access capital towards revenue without credit checks, collateral being put up, a slow moving pace of banks and C. D. S s. It's particularly useful for people who may not raise venture. And it's useful for, uh, you know, people who maybe don't have that friends and family check that they can expect similar. We've got a great angel network who look at the best impact deals from around the world. Um, and it doesn't have to be a housing company, just a great venture that's pursuing impact on profit. Um, and then lastly, we're just about to announce that we have a fund of our own on the back end of our incubator that funds only healthy and companies. Um, it's an early stage fund. Um, but watch this space because our pipeline is just increasing your every year. We used to sort of just 16 companies here. Now, we're serving 60 this year, so, um, yeah, it's really exciting. Um, and so obviously, it's really great that, you know, we're going to be able to help scale the impact that we want to see. Uh, ideally a lot. A lot faster. >>Well, you definitely taking control. I remember when we had a few years ago. I think four years ago, you just thinking about getting going and going now with great tailwind. Um, >>and the diversity >>of sources of capital as well as diversity of firms is increasing. That's helping, uh, that we're seeing, but you're also got the back end fun for the housing companies. But also, you've been involved in we capital for a long time. Can you talk about that? Because that's a specific supporting women entrepreneurs initiative. Um, yeah. What's up with capital share? That >>was That was another venture that I-i embarked on with such coz. Um as well as Sheila Johnson and Jonny Adam, Person who runs Rethink Impact. We capital is a group of about 16 women that I pulled together women investors to invest through rethink impact, which is another fun that is looking for impact businesses but predominantly looking for those businesses that are led by women. So this investment group is women supporting women. Um, through the use of deployment of capital, um, they're doing amazingly well. They've had some really stunning news recently that I'll let you dig up. >>I'll definitely thanks for the lead there. I'm gonna go jump on that story. >>Yeah, >>the Okay, Thanks for that lead on that trend, though in Silicon Valley and certainly in other areas that are hot like New York, Boston and D. C. Where you're at, um, you're seeing now multiple years in almost a decade in of the pioneers of these women, only funds or women only firms and your investment. Um, and it's starting to increase to under all underrepresented minorities and entrepreneurs. Right? So take us through how you see that because it's just getting more popular. Is that going to continue to accelerate in your mind? Are their networks of networks. They cross pollinating. >>Yeah, I think you know, it's It's I'm glad to see it. And, you know, it's been a long time coming. I think you know, I think we all look forward to a future where it's not necessary. Um, and you know, funds. Just invest in everyone Until then, making sure that we have specific pools of capital allocated to ensure that that, you know, those entrepreneurs who have not always been equally represented get to pursue their ideas not just because they deserve to pursue their ideas, but because the world needs their ideas. Right. And as I mentioned, there is a business imperative, right? We've got lots of examples of businesses like banks that you wouldn't have gotten a shot just because the investors just didn't understand the opportunity. Um, and I think that's normal. That's human. It happens to everyone. You are successful as an investor largely because you recognize patterns. And if something is, you know, outside of your life experience, you are not going to identify it. So it's very important that we create different kinds of capital run by different types of people. Um, and, uh, and you know. I know lots of investors have every type that are investing in these funds because they recognize that, you know, perhaps the highest growth potential is gonna come out of these, you know, particular kind of funds, which is really exciting. >>That's super important, because half the world is women, and that's just like the population is inspired by many new ventures. And that's super exciting trend. I wanna ask you about your other areas of doing a lot of work in the queue has been to buy multiple times, um, initially reporting on a region out there, and that's certainly isn't important part of the world. Um, you've got a lot of good news going on there. Can you share what's going on with, uh, the social entrepreneurship going on in Bahrain around the region? >>Yeah, I'm happy to. We we've actually been so privileged to work with a W S for a very long time. Almost since the start of the incubator they've supported are entrepreneurs, all of our entrepreneurs with access to cloud credits and services. Um, and we've sort of double down with a W S in the last couple of years in areas where We both want to create an uplift, um, for small businesses and rapidly growing tax solutions to these these social environmental problems. We see. So there's been an excellent partner to do that. And one of the areas we did in the water was with rain, particularly with women, tech startups, women tech startups in Bahrain. Yeah, we did that last year. We had an amazing group of women over in D. C. Um, and we continue to support them. One of them is actually in the process of raising. I think she just closed her seed round recently. And that's why for, um, al yet, um, and she created playbook, which is an amazing, uh, platform for women to take master classes and network and really sort of level up, as one says, Um, but also, um, the mall of work. Um uh, just really talented women over in Bahrain, um, pushing the envelope and all sorts of directions, and it was wonderful to get the opportunity to work with them. Um, that has now spawned another set of programs serving entrepreneurs in the Middle East in North Africa. They were also working on with us as well as the U S. State Department. Um, so we're going to be working for the next two years with entrepreneurs to help our recovery from covid. Um, in China. Um, and then I'm also proud to say that we're working with a W s in South Africa because there is just an extraordinary energy, you know, in the continent, Um, and some amazing entrepreneurial minds working on, you know, the many problems and opportunities that they're facing and recognizing. Um So we're supporting, you know, companies that are working on finding, um, skilled refugees to be able to help them resettle and use their talents and make money. Um, sadly, are very relevant company now with what's going on in Ukraine. Um, but also, uh, zombie and satellite company, um, companies that are preventing food, food waste by providing, um, solar-powered refrigerators to rural areas in South Africa. Um, so a lot of, um, you know, just incredible talent and ideas that we're seeing globally. Um, and happy to be doubling down on that with the help of a W s. >>That's awesome. Yeah, following the work when we met in D. C. And again, you always had this international view um it's International Women's Day. It's not North America >>Women's Day. It's >>International Women's Day. Can you share your thoughts on how that landscape is changing outside the U. S. For example, and around the world and how the international peace is important and you mentioned pattern matching? Um, you also, when you see patterns, they become trends. What do you see forming that have been that that are locked in on the U. C they're locked in on that are happening that are driving. What are some of those trends that you see on the international side that's evolving? >>Yeah. You know, I think the wonderful opportunity with the Internet and social media is that, you know, both, uh, we can be more transparent about areas for improvement and put a little pressure where maybe things are moving fast enough. We've all seen the power of that, Um, the other, um, you know, things that certainly in countries where women maybe as free to move and operate, they can still acquire skills education they can set up cos they can do so so much. Um, you know, through these amazing technologies that we now have at our disposal growing an amazing rates. Um, they can connect via zoom. Right? I think that while the pandemic definitely set women back and we should acknowledge that, um, uh, the things that the pandemic perhaps helped us to exponentially scale will move women forward. And perhaps that's the target to hang on to, to feel optimistic about where we're headed. >>And also, there's a lot of problems to solve. And I think one of the things we're seeing you mentioned the Ukraine situation. You're seeing the geopolitical landscape changing radically with technology driving a lot of value. So with problems comes opportunities. Um, innovation plays a big role. Can you share some of the successful stories that you were inspired by that you've seen, um, in the past couple of years. And as you look forward, what What some of those innovation stories look like? And what are you inspired by? >>Yeah. I mean, there's so, so many. Um, you know, we just, uh, had a couple of entrepreneurs, and just the last year, Um, you know, after I think everyone sort of took an initial breath with the pandemic, They realize that they either had an opportunity or they had a problem to solve to your point. Um, and they did that well or not. And or some of them, you know, just didn't didn't have any more cards to play and had to really pivot. Um, it was really interesting to see how everyone handled handled that particular moment in time. One company that I think of is everywhere. Um, and she had created a wearable device that you can just put on your ear. It looks like an earring right at the top of your ear. Um, and it was for her for herself because she suffered from pulmonary complications. And, uh, without more discreet wearable, you know, had to wear a huge device and look around and oxygen tank and, you know, just to sort of have a good quality of life. Um, it turns out, obviously, during covid, that is a very useful item, not just for patients suffering from covid and wanting to know what their oxygen levels were doing, but also potentially athletics. So, um, she's really been able to double down as a result of the trends from the pandemic. Um, and I'm really proud of part of her. And that's actually where another great one that we just just came through. Our last 15 is Maya. Um, and she had a brick and mortar store. Um, uh, called Cherry Blossom. Intimate where she helped women have an enjoyable experience finding, uh, and fitting bras post mastectomy to include sort of, you know, the necessary, um, prosthetics and things like that. Um, she even made it so that you could go with your friends who haven't had a mistake, and she could also find some lovely luxury. Um, but the pandemic meant that that experience was sort of off the table. Um, and what they did was she decided to make it a technological one. So now she's she's essentially will be part of it. You can, you know, go to my, um, online. And you can, um, you know, order, uh, measure yourself, work with a specialist, all online, get a few different options, figure out the one that's perfect for you and the rest back. Um, and I don't think without the pandemic, that would not have happened. So she's now able to serve exponentially more. Um, you know, women who deserve to feel like themselves post it to me. >>That's also a model and inspirational. I have to ask you for the young women out there watching. What advice would you share with them as they navigate into a world that's changing and evolving and getting better with other women, mentors and entrepreneurs and or just an ecosystem of community? What advice would you give them as they step into the world and have to engage and experience life? >>Yeah, gosh, part of me always wants to resist that they don't listen to anyone to do you follow your heart, follow your gut, or at least be careful who you listen to because a lot of people will want to give you advice. I would >>say, Uh, that's good advice. Don't take my advice. Well, you've been a great leader. Love the work, you're doing it and I'll say N D. C. But all around the world and again, there's so much change going on with innovation. I mean, just the advances in technology across the board, from with machine learning and AI from linguistics and understanding. And I think we're going to be a bigger community. Your thoughts on as you see community organically becoming a big part of how people are engaging. What's your what's your view As you look out across the landscape, communities becoming a big part of tribes. What's your vision on how the role of communities place? >>You know, we we actually do you think a lot about community and healthy. And we say that are you know, alchemy really is providing space, you know, physical and mental space to think, um, access access to capital access to networks, Um, community, Um, and the community piece is very, very important. Are entrepreneurs leave us like the number one thing that they miss is being among like-minded, um, you know, slightly slightly crazy audacious people. Um, and I often joked that we're building a kind army because it is, you know, it's people who want to do it differently if people want to do it with integrity. Is people who are in it for a very different motivations than just money. Um, and, you know, you start to feel the power of that group together and its entirety and what that might look like as as a community solving global problems. Um, and it really is inspiring. Um, I do think that people are starving for FaceTime and people time, real human time after the pandemic, I think they won't go away. It's a great tool, but we all want a little bit of that, and I will mention just along those lines. And if you don't mind a quick plug for an event that we're having March 16, Um, also in partnership with a W s called Build her relevant to International Women's Day as well. People can, either. If they're in the city, they can come in person. But we also have a virtual program, and we'll be listening to some of the most inspiring. Women leaders and entrepreneurs both in government and also the private sector share their knowledge on the side of the pandemic for for, you know, the next tribal group of women entrepreneurs and leaders. >>That's great. Well, you are on our website for sure. >>Thank you. Thank you. Appreciate it. >>And we love the fact that you're in our community as well. Doing great work. Thanks for spending time with the Cube and on International Women's Day celebration. Thanks for coming on and sharing. >>Thank you, John. >>Okay. The Cube International showcase Women's Day, featuring some great guests all around the world, Not just in the U S. But all over the world. I'm your host. Thanks for watching. Yeah, Yeah, yeah, hm, Yeah.

Published Date : Mar 9 2022

SUMMARY :

Um, good to see you. You as well. Tell us a bit about who you are and what you've got Um, and I'm proud to say, you know, particularly related So, um, what are you guys doing? Um, and so obviously, it's really great that, you know, you just thinking about getting going and going now with great tailwind. Can you talk about that? They've had some really stunning news recently that I'll let you dig up. I'll definitely thanks for the lead there. Um, and it's starting to Um, and you know, funds. I wanna ask you about your other areas of doing a lot of work in the queue has been Um, so a lot of, um, you know, C. And again, you always had this international view um it's International Women's Um, you also, when you see patterns, they become trends. that, Um, the other, um, you know, things that certainly in countries And I think one of the things we're seeing you mentioned the Ukraine situation. and just the last year, Um, you know, after I think everyone sort of took an initial breath I have to ask you for the young women to do you follow your heart, follow your gut, or at least be careful who And I think we're going to be a bigger community. Um, and, you know, you start to feel the power of that group Well, you are on our website for sure. Thank you. And we love the fact that you're in our community as well. featuring some great guests all around the world, Not just in the U S. But all over the world.

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Kawthar Al-Gallaf, E-Jam'ia | Women in Tech: International Women's Day


 

>>mhm. Hello and welcome to the Cubes presentation of Women in text. Global Event Celebrating International Women's Day I'm John for your host of the Cube here in Palo Alto, California and we had a great remote guests coming in from Bahrain in the Middle East. Cather Allegheny, general manager of 9 73 Labs. Uh, thanks for coming in and and being part of the Cube our International Women's Day. You can't get any more international in Bahrain. Thank you for coming on. >>It's my great pleasure and honour to be here. John, thank you so much for this opportunity. >>Well, I'm super excited to chat with you because in our two visits with the Cube in Bahrain covering the summit there the past few years, we notice of surgeon entrepreneurship. Um, it's almost as if the region of AWS has create this revitalization and energy and vitality and and momentum around entrepreneurship. Can you >>share? What's >>the scene down there? What's the What's it like? >>Well, uh, when it comes to my country, we're lucky to have a small population. It's not that large, but we have so many creative people who is eager to try the entrepreneurial journey, and having Amazon as a data centre in Bahrain is a privilege. And they are pushing, uh, to have more entrepreneurial ideas and innovation and solutions within the ecosystem of rain. So definitely with their support, I can I can see that so many youths, they are eager to come in and contribute. >>I noticed that you're also the general manager of, uh, 9 73 labs, but also the founder of a company. So you've got two things going on here. You've got the entrepreneurial thing happening. Um, this seems to be normal. People got entrepreneurial activity and the job doing both. They're both entrepreneurial. Is that normal? >>Yes, Absolutely. Well, I started my entrepreneurial journey back in, uh, four years and I've been appointed as a general manager of 97 3 labs, which is I'm leading on digital innovation. So that compliments my passion of being an entrepreneur. And while we can acquire talented people and support them to create their own solutions the best way they can So basically, uh, following the main pillars of the lab that I'm working on, which is conducting appropriate research and data analytics, innovation and sustainability. So, uh, for my two founded cos it's not only one I've worked in Fintech and also in property as well. >>What inspired you to be an entrepreneur and technology? >>Well, I would say that my inspiration was to think outside the box, and I see problems and gaps as an opportunity. So that helps me to figure out and come up with solutions that can be beneficial for everyone. So analysing detail as well as something that I would really love. And also, um, enhancing my skills and being more creative is my inspiration. >>I know this is a lot of entrepreneur activity in Bahrain. A lot of investors are now coming into the market. Um, what are some of the things that are going on there? Can you share what the entrepreneurial scene is like there what people are working on has cloud computing accelerated that? What's what are some of the things happening there on the ground? >>Um, I would see that there is multiple competitions or hackathons run by multiple financial institutions. Uh, and also, uh, there are so many NGO s as I am a board member and technology and business society and also a member of women empowerment in the field of cheque, we are trying to motivate and accelerate the desire to be within this ecosystem of entrepreneurial journey. So, basically, uh, we have the Supreme Council of Women who is pushing as well women and ladies to be in this, uh, sector, uh, from early age from, uh, university or even high school graduates that they should start on working on their ideas and come up with solutions. So you can see that everyone is up to, uh, being part of the ecosystem by putting in their ideas. >>And the government wants to be digitally completely transformed, and >>by certain >>they're pushing it hard to >>Absolutely. Yes, we have the governmental sector trying to migrate from legacy infrastructure to the cloud. I would say, uh and it's it's more efficient for government and also to the private sector as well. >>You know, one of the things that jumped out at me when I was in my rain visiting was there was a lunch. Uh, I'm sorry. Breakfast for women in tech. And I went there because I always go to those breakfast cause I really want to see and meet people. I had to get kicked out because it wasn't a table space. So I was for all the people that were there, Um, because I was the guy that was spot for women, it was sold out, was lying and lying to get in. So there's a huge interest of women in tech. I saw that firsthand. There are more and more people want to come in. So motivating women to consider Korean tech is really the focus. What steps do you see to make that happen? How do we take that to the next level? What's your view on motivating women to get into tech? How would you talk about that? >>Well, absolutely. I think it's really crucial to have a woman contribution within the field of cheque. But I believe there is some challenges, given our cultural norms of how man perceived woman working in the field of cheque, sometimes society burden woman from, you know, pursuing her passion to be in because it's a demanding field. I would say that it's, uh, equal to the medical field. You have to keep on updating and to be aware about what's going on. Um, so basically, that might create a bit of a burden for specifically married women of looking after her husband or their families. So I think, uh, this is one of the challenges. But the steps to overcome those challenge challenges is why, uh, you know, trying to shift and change the way, uh, society think about where women should position herself and what kind of job should she should be. And, uh, So I think the other thing is by having educational curriculum that we taught in schools, teaching both genders about the importance of, uh, how we are equal and how we can complement each other in that field because the future is in technology. So the young generation should understand this very well. >>How is the women, um, entrepreneurship going? Are they being finance for their ventures out there? What's the what's the What's the momentum and progress on women starting ventures? >>Yes, absolutely. We're lucky to have our first lady, the wife of the king who is heading the Supreme Council of Women who is pushing women to create their own businesses or to come to become an entrepreneur. Also, we have financings becoming through the government with an entity called Temkin will provide different plants and support all through, not financials only, but it covers other areas of businesses as well. So financing is not a problem again for an entrepreneur. Uh, woman. As an entrepreneur, you can always seek multiple options for financing, not necessarily inside. It can be international as well. >>So a lot of good capital there also, this fellowship opportunities. I noticed you were a Halsey in, uh, fellow. The fellowship with the Halsey in organisation. Talk about that. That experience? >>Well, I really loved the experience. We started in fact, last year, and we flew to Washington in July, and we've met with Amazon people who were really supportive. We got solution architects supporting us of how to build the solution that we want to deliver. And I got my CTO to get trained by the Amazon as well. So we found so much value and the courses and the mentorship they provided, uh, and I'm really glad to be part of that family and their CEO. She said, Now, uh, for a lifetime, you are part of our family, and, you know, it's all the support that we needed to get. >>It's a great community. What advice would you give to people who are out there who want to learn and get into cloud computing and take that step towards creating value on whether it's entrepreneurial or within a company. What's the secret formula that you would say our secrets to success? >>Absolutely. I think a cloud is a a massive, and it's a brilliant opportunity for any technology to be built on myself. I believe in the cloud. Most or all of my solutions is built on cloud. And now even me leading the digital lab on building infrastructure on cloud and basically it will give you more room. Uh, identify more gaps. You do assessment. You can utilise the tools that is within cloud, which is artificial intelligence machine learning. Uh, you call it so you can seize the opportunity to the maximum, and you can skill faster. So basically, you're not limited to your, uh, country. You can go across countries as well utilising cloud >>Catherine to talk about what's next for you. What's the next step? >>Well, uh, the next step in my new role or a new job leading on a digital innovation in 973 Labs is to finalise my strategy and also to acquire talented young people And, uh, you know, go through a programme, which is I designed where they get the mentorship, the support till they get a final product that will be invested in. And they can guarantee themselves a carrier, uh, within the digital love that I'm trying to lead on. Uh, and I think the projects that will be covering not specifically only infant IQ, it could be in any other industry. So, uh, we're trying to follow the recent trends, Uh, thanks to Amazon and Google and the other companies that we can extract data and create our own reporting. So to, uh, come up where we should be investing our time. >>That's great. I wanna ask you about the demographics of the folks in Bahrain. I noticed that they're very a lot of young entrepreneurs coming up and learn a lot of them. Um, is that true? >>Yes, Uh, our population, the majority of our youth, uh and I would say, um uh, the average age is in thirties until 35 or 36. So, relatively, we have so many young people or youth who was eager to learn. But again, we need the expertise. We need older people to also mentor and coach the young generation of how they should calculate the risk and come up with a proper business models and brilliant ideas. >>Well, I'm very impressed with the folks down there, I said before the pandemic. Unfortunately, the pandemic it, But we really wanted to have a cube location there, a lot of vitality out of action, a lot of good stuff going on. Certainly with the NWS region in there, it's really create a lot of value. And so we're looking forward to hearing more. And, uh, thanks for coming on and sharing your storey with us and for the folks out there watching. What advice would you give to women who are watching around the world around entrepreneurship? What's going on from your experience? What should we be doing and talking about? What's the Storey? I'll see this theme is bias, uh, inherent bias and in the culture, um, what would you share your thoughts on to the world? >>Well, I think the only advice I can give to all of the women out there just try something new to try to solve a problem. There are so many gaps we have around. Just look around. You just take one step forward and try it. At least once in your life, you can come up with a brilliant, uh, solution that serves all humankind, not only the people of your country. So even if the road is bumpy, just be have the courage, be resilient and go for it. >>And we're all connected on the Internet. So of course, we can communicate with each other and have a good time and and grow the community. Thanks so much for coming on the Cube and celebrating International Women's Day with us as part of our special presentation. Thanks for coming on. I really appreciate it. >>Thank you. It's my pleasure. Thank you so much. >>Okay, this is the cubes presentation of women in text. Global event Celebrating International Women's Day. I'm John for a host of the Cube. Thanks for watching. Yeah,

Published Date : Mar 9 2022

SUMMARY :

thanks for coming in and and being part of the Cube our International Women's Day. It's my great pleasure and honour to be here. Well, I'm super excited to chat with you because in our two visits with the Cube in Bahrain It's not that large, but we have so many Um, this seems to be normal. So basically, uh, following the main pillars of the lab that So that helps me to figure out and come up with solutions that can be beneficial for everyone. A lot of investors are now coming into the market. the desire to be within this ecosystem of entrepreneurial journey. for government and also to the private sector as well. I had to get kicked out because it wasn't a table about the importance of, uh, how we are equal and how we can complement each We're lucky to have our first lady, the wife of the king So a lot of good capital there also, this fellowship opportunities. how to build the solution that we want to deliver. What advice would you give to people who are out there who want to learn and get I believe in the cloud. What's the next step? Google and the other companies that we can extract data and I wanna ask you about the demographics of the folks in Bahrain. Yes, Uh, our population, the majority of our youth, um, what would you share your thoughts on to the world? Well, I think the only advice I can give to all of the women out So of course, we can communicate with each other and have a good time and and grow the community. Thank you so much. I'm John for a host of the Cube.

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Isabella Groegor-Cechowicz, AWS | Women in Tech: International Women's Day


 

>>Mhm. >>Hello, Welcome to the Cubes presentation of women in Tech Global events Celebrating International Women's Day. I'm John for a host of the Cube. Got a great guest here. Isabella, who is the vice president of worldwide Public Sector EMEA Sales for AWS Amazon Web service Europe, Middle East and Africa Isabella Thanks for spending the time and coming on this, uh, this programme for International Women's Day. Appreciate it. >>Thank you very much for having me on that one. It's an exciting topic, John. >>A lot of things going on. A lot of themes. Um, we'll get into that. But first tell us about your career and how you got to be working at a W s. >>Yeah, that that's that's really interesting. Storey, I would say I give you first of all the headline. I am a dental technician by training. I am business administration economics by study, and I spent my really whole life intact. So my first message here is that you can have a great career press intact, having a diverse background. Um, what you need really is to be curious and to be eager to learn. And you see that I've slightly tweaked our leadership principles saying learn and be curious on that one. But when you agree on that one saying, I am curious, I want to learn this is really a great place in technology and in a W s to be in and to progress a career. It's really, really cool. And when I look ahead, I see that because the industry lines are blurring more and more, they are more and more diverse skill sets that were reverse roles coming in, and that is really opening an exciting opportunity also for women, but also in a broader sense of diversity to go and and have a career in technology. It is quite exciting. Back to my career. I started in a in a company. I think when I look back at that and reflect, it was a startup these days very, very early in parallel computing moved on than into management consulting into into international consulting project and managing those ones. And when I look at that piece, I have built out at that point exactly my industry skills and that was beginning in the oil and gas industry when I then transitioned in a bigger cooperation into the e R P space that also continues on a global scale. And then eventually I switched over and, um, and started to go deeper into another industry segment, which was the public sector. And when you come from oil and gas, that is a transition that comes to national oil companies. So that just a sort of naturally came but gave me absolutely different scope. So 16 years in oil and gas and then processed into public sector. Now, in my last global role, I really get across the whole discussion about Cloud. And this is why I got also in touch with aws, um, talking about Wow, this is the future. This is really the way of how computing is gonna be consumed in future and how agile those types of a of a model is. And that was really super intrigued, also having a sort of a really startup mentality. And this is and here I am, as this is responsible for for a mayor in public sector. >>But I love the throwback to parallel computing. I remember those days exciting Storey and I love the point about a lot of opportunities with tech. There's so the aperture of technology has really widened the surface area for things you can do and bring a diverse background to is really amazing. Great point. Great insight. I have to ask you, um what first Got you interested in working in the tech sector? How did you get attracted to the parallel computing? Um, what was the gravitational pole? Was there a moment of of luck? Serendipity. What happened? Tell us, uh, how you got interested in the tech sector, >>John, I wish I would tell you now, a storey that this was the wow moment, right where I came across something and that sparked the idea. Can I tell you a secret? So when I started my study, the the thing that I said or the statement I made was it just I want to work in everything, but not in, >>uh >>this is And and maybe maybe that is how the brain process. So the brain process I want to work in i t. And this is how I got into it. No, but seriously, I think the first part was I got my business degree, but I got it from a technical in your university. This is why I come First time came across that in a broader sense. What I say is it later or is it early? I don't think so. That was for me at the right time. That was mechanical engineering engineering and I t. I've also built a couple of seasons around that part. That was the first one. And certainly when I get into this company that was on parallel computing at that time and under talk, being responsible for optimisation models for refineries as sort of transition into that one. So coming really from a technical university background being on a daily basis was that and being in in this in those topics all the time and also thinking about how could I progress that way and also having my first engagement with the company, Um, in that space that got me intrigued and stuck into the startup space. Um, not calling as a startup those days, but also in the technology side. And I think the farms have been so cool if I look back on that one, >>you know, what's the thing about that Storey is that you were in an environment that was technical and nerdy, and we're seeing that now people are. We had a leader on a W s that I interviewed. She said we're nerd native. The younger generation is natively nerdy. And there they got tech. They're touching it everywhere there in things owns there in think tanks and build a building things. So this is this is the new situation. So, you know, this is kind of where we're going. So the next question I have for you is, um how do we encourage young women and girls to get a career in tech? Are there initiatives that you guys have? I know get I t initiative that 80 bucks runs is one. How do we get this? This word out that it's all in front of us that the environment is rich to >>bring careers >>in together. >>Yeah, and I think to your point, you can't start early enough on that one, right? So I can say it has been a different touch points, but I think I also had an inspiration earlier where I really thought about here. I can do everything right. So from that perspective that paves the way into a looking at, I can equally proceed different career passes, but you touched on the get I t side And I really, really love that initiative that that we as a W s have put together. And I've been a judge on that one. And it's amazing results that have been driving that. So the initiative has and and and and defined frame it is encouraging girls in the age of 12 13 and also that but but potentially also then later going and considering and career in tack. Um, with that one, it brings these challenges that that teams are solving for specifically. For example, schools are taking problems on that they're gonna frame and set up into a in a sort of a mini startup mode, thinking about what is the business case, How do I go from a detailed plan but also still keep a big picture in mind and then bring it forward into a pitch? This is a very, very round of and defined programme that we have set up, and it really very it sparks very, very great. Not very, but but great ideas in the sense of it sparks the ideas for for really how those problems can be can be solved in those communities and potentially be beyond what I really love about it. It forces diversity. You think about it. It's not only just for for girls or it's not for younger women, but it is diverse team. So they are from a diversity perspective. It brings different perspectives into it, and it's in and is solving those problems for communities or challenges for communities. So since we started that one we have, we have had a very, very strong participation in the UK, for example, from 136 schools and I think over 30,000 students. We are now rolling this initiative also out to other countries in Europe, and I had the pleasure to participate in the one in Germany. So I think that that was really an outstanding experience and it really brings that top of mind again and again. Think thinking about no matter what your background is, just go and solve problems for your school, for your community, get people together, get diverse perspective and get things going. >>I love that example, is a great storey because it also allows people to get their hands on some technology experiment breaks to fix it get building at the young age. But also the theme this year is breaking the bias. Right. So when you get to the younger ages, the bias can be worked on there. This is a great example of that. Is that have an impact there as well? >>Yeah, I think so. Very much it is. You have You have those teams that are naturally then working around the problem, and they are really absolutely focused on the topic. They are absolutely focused on solving a challenge. And I think that really brings this the diversity of perspective together. And in that context, the teams are also looking at what we what we have in in in our organisation, what makes really that strong culture, which are the leadership principles. Right? So we are this this is a invent and simplify. This is a built trust very much. Just just deal respectfully with other people, but also be able to discuss, had you a strong opinion but then also agree on the direction. So I think it really brings that to the topic. And by that broadens the base of the collaboration great >>organic diversity from day one as they say Amazon phrase. But let's speaking of Amazon phrases and leadership principles. One of the things that we hear Amy Jackie talked about this all the time. But now Adam Sadowsky talks about as well as the new CEO of AWS. Um is to be the world's best employer, right? So you know, one of the things is the diversity, inclusion and equity part of the equation. And and, of course, they're they're putting storeys out like this is a great, great service, and we're happy to be working with them on this. So why is diversity, inclusion and equity such an important part of this leadership principle? Uh, for Amazon and the world? Can you share your thoughts and and share the the urgency and imperative of why this is a big deal? >>Look, I think now, first of all, we need to acknowledge that we are all diverse, right, and we can, by default, say that So we are bringing all these diverse views. We are bringing a lot of diverse perspective when we are joining a company. When we are talking to other people in each and every interaction, we are expressing our diversity and and we we we as a W s believe that when technology is delivered, it should be in a way that it should be built in a way that is first of all, diverse. It is equitable, and it is inclusive. Um, and we have the responsibility to make that happen. And we also have, as an organisation, the responsibility to take the way, way on to understand what does it take to get there and to get the commitment out to make sure that we bring more diverse perspective, we bring more diverse perspective. We force those ones, and we build on that we never stop on looking at bringing more and more diversity. And that's one, I think, Um, we are as a W s committed to a diverse workforce for one reason, and that is our customers are diverse. The challenges are diverse, so delivering the best solution needs a diverse perspective. This is where the best of innovation comes together when you have people that can discuss. But those people also feel safe to express themselves and to have their voice heard. So that's the second part where it is. It's the customer focus, and we are extremely customer obsessed. But on the other hand, it is also the question about we do it for our people because we want and that comes then back to your point on also on the on the leadership principle. We want our people to feel the belonging into the organisation. This is what they are in their safe point. This is what they deliver at the best, also for our customers and what they feel that they are part of the organisation. When you take diversity equity and inclusion together, the outcome of of all of three is is belonging. So we want to to really drive that to make sure that we we dr more aspects of that diversity into the organisation. So we bring a broad basis of our colleagues, um, into into the organisation and make the work voice heard. Now that that's one hang on and then we we we we want actively recruit women into to drive this gender diversity specifically as well. When we look, for example, at a media and we are going to colleges, we're going to two events were going to conferences when we want to really offer the benefits for for our industry leading, for example, parent leave, mentorships and sponsorship programmes which are women to develop their careers to to really focus on that one. So I think it is striving for being the Earth were best employer by bringing those top industry programmes to live, to make sure that each and every diverse personality can find a space at AWS and run at the best for the best of our customers, >>that's a great point. The world's divers, the customers are diverse and if you put the three words together, they're all equally important. It got to include everyone got to be diverse. Everyone has to have equity. That is a community that's about what community is about. And and we are now doing seeing more community focus than ever before. In today's world, this is super important. Quick follow up on that the role of community. What's your vision on community? Because >>people want to belong >>to something, they want to be part of a tribe. This community, >>Yeah, and that's why I'm saying I think when you to, to your point again to reinforce that when you bring the three words together, you get this community feeling you get the belonging. I think it's also the question of a strong culture. You, you, you the ability to offer a cultural framework that people can identify with where they see that the breaths and depths of their skills and all the people around the globe can be folded in. I think this is massive, and this is extremely powerful to bring that to life and to be able to offer this to to our colleagues that are working at a W S. But also beyond that is a universal, universal message that we can spread. >>Yeah, I gotta say, uh, props to Amazon AWS and we're investing in the queue. We're doing more of these interviews. This is a force multiplier. I think, uh, diversity, inclusion and equity is a force multiplier. Competitive advantage. The product gets better, the people are happier. It's just a wonderful thing. So I really appreciate the the insight and points on that. That's a great, great segment. Lastly, though we're speaking of the number of inspiring women, you're one of them. Thanks for joining us as part of Celebration International Women's Day. I'd like to ask you, um, who inspires you? Yeah, >>Look, there are there are so many just I I think we are. We are living in a world where you get the inspiration from very, very many sources. But if I drive that back to what has shaped my career, what has shaped my past? I would say that there are There are two main data points. The first one is I'm really going back to my dad. When I went back to him and says that what eventually can I do? He just looked at me and said, Do whatever you want And this is how I really went into life rolling up the sleeves, saying Okay, yeah, well, let's go there, Right So it inspired me to to to look at the positive side and to always take it from an opportunity perspective to go and do whatever I wanted to do. What I thought is interesting for me and where I have been really curious and wanted to learn more about that is one and the other one. Besides the all the framework that we, for example, have had a W s, the leadership principles, our culture of diversity, but also our culture of of, um of of discussion, high debate, and those types are super, super inspirational when it also comes for me to drive in the next level of getting getting everybody on the same page. Um, I had a discussion, was one of my former escape managers as capable managers, and the the sentence that he has formed that is still sticks with me is I was looking at the next career point, and we have been discussing that back and forth, and he he was always asking the same questions. What do you want to do next? And I gave him an answer. He never answered. He just walked away and I did that two times, and I eventually figured out that it's probably not what he really wanted to hear. And when we started to go into a discussion, he he pointed me to a to A to A to to affect or to a direction that he said, Do you want to wait for dead man's slippers? And this is a sentence just you don't really under need to understand that in price and deaths. But if you think about the picture just like this, there is the old chair and then you have the slippers. Is that something? This is something we always think myself back and forth. I'm thinking. What? What? Which point I am I at. And is that eventually also a point where I would say this is a dead man slippers transition point. And this is what inspired me of thinking about the next three points staying agile and also staying, staying always curious and learning. >>So go on to the next level is about pushing yourself and really rethinking and going after things that maybe aspirational but attainable at the same time. Understanding that role sounds like that was growth opportunity. >>Yes, it was a growth opportunity. Then it never comes to the to the point where you're gonna say, I'm gonna now that's it, right? I've learned everything. It is a I'm gonna step out. It's gonna be outside my comfort zone. Am I ready to do that? And it's at the right point for me and I think it's the answer to that. One is always Yes, this is how you stay, Stay, keep up with technology. But you keep up also with all the fantastic opportunities that that that the life and also the environment. Like, for example, a W s offer. >>Isabella, thank you for coming on and sharing this storey. One last question I'll ask you, is what's next for you. What do you want to do next? Your worldwide public sector executive leader for Europe, Middle East and Africa for AWS Hot company? The regions are everywhere. There's more regions as locals owns. Everything is happening. It's expanding. You're in the middle of it. What's next for you? >>I want to see cloud being the driver of innovation and and business dynamics. Business model change. And I want to be part of this business model change that is based on cloud in future, for the benefit of public sector and all the other entities, and also very much for the for the benefit of all citizens around the globe. That's my next >>Well, it sounds like it's been a very diverse, inclusive and highly equitable, and I want to be part of that. Want to belong to that? Thank you for sharing and looking forward to more conversations and thank you for spending the time to come on the cubes presentation here. Thank you so much. >>Thank you. so much I >>appreciate. Okay. The representation of women in tech global events celebrating International Women's Day. This is the first episode will be more. We're going to get more and more storeys out. But March 8th is a big day. We're celebrating today. International. I'm John Ferry, the host of the Cube. Thanks for watching.

Published Date : Mar 9 2022

SUMMARY :

I'm John for a host of the Cube. Thank you very much for having me on that one. career and how you got to be working at a W s. This is really the way of how But I love the throwback to parallel computing. Can I tell you a secret? Um, in that space that got me intrigued and stuck into the startup space. So the next question I have for you is, um how do we And I really, really love that initiative that that we as a W s have put together. I love that example, is a great storey because it also allows people to get their hands on And by that broadens the base of the collaboration great One of the things that we hear Amy Jackie talked about this all the time. the responsibility to take the way, way on to understand what does it take And and we are now doing seeing more community focus than ever to something, they want to be part of a tribe. I think this is massive, and this is extremely powerful to bring that So I really appreciate the But if I drive that back to what has shaped my career, So go on to the next level is about pushing yourself and really rethinking and going that that the life and also the environment. You're in the change that is based on cloud in future, for the benefit of spending the time to come on the cubes presentation here. Thank you. This is the first episode will be more.

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Tanuja Randery, AWS | Women in Tech: International Women's Day


 

>>Yeah. Hello and welcome to the Cubes Presentation of Women in Tech Global Event Celebrating International Women's Day I'm John for a host of the Cube. We had a great guest in Cuba. Alumni Veranda re vice president. Commercial sales for Europe, Middle East and Africa. EMEA at AWS Amazon Web service to great to see you. Thank you for coming in all the way across the pond and the US to Palo Alto from London. >>Thank you, John. Great to see you again. I'm super excited to be part of this particularly special event. >>Well, this is a celebration of International Women's Day. It's gonna continue throughout the rest of the year, and every day is International Women's Day. But you're actually international. Your women in Tech had a great career. We talk that reinvent. Let's step back and walk through your career. Highlights to date. What have been some of the key things in your career history that you can share? >>Uh, thanks, John. It's always nice to reflect on this, you know? Look, I the way I would classify my career. First of all, it's very it's been very international. I was born and raised in India I went to study in the US It was always a dream to go do that. I did my masters in Boston University. I then worked in the U S. For a good 17 years across A number of tech, uh, tech companies in particular, started my career at McKinsey in the very early days and then moved on to work for E M. C. You'll you'll probably remember them, John. Very well, of course, There now, Del um And then I moved over to Europe. So I've spent the last 18 years here in Europe. Um, and that's been across a couple of different things. I I always classify. Half my career has been strategy, transformation, consulting, and the other half of my career is doing the real job of actually running operations. And I've been, you know, 12 15 years in the tech and telecom sector had the excitement of running Schneider Electric's business in the UK Denniston and Private Equity went back to McKinsey Boomerang, and then a W s called me, and how could I possibly refuse that? So it's been really exciting, I think the one big take away when I reflect on my career is. I've always had this Northstar about leading a business someday, and then I've sort of through my career master set of skills to be able to do that. And I think that's probably what you see. Very eclectic, very mobile, very international and cross industry. Uh, in particular. >>I love the strategy and operations comment because they're both fun, but they're different ones. Very execution, tactical operating. The business strategy is kind of figuring out the future of the 20 mile stare. You know, playing that chess match, so to speak, all great skills and impressive. But I have to ask you, what got you in the tech sector? Why technology? >>Well, so you know, in some ways I kind of fell into it, John, right? Because when I was growing up, my father was always in the tech space, so he had a business and fax machines and he was a reseller of cannon. If you remember Cannon, um, and microfilm equipment and I grew up around him, and he was a real entrepreneur. I mean, always super visionary about new things that were coming out. And so as I followed him around, I said, I kind of wanna be him. And it's a little bit about that sort of role model right early in your career. And then when I moved to the U. S. To study again, it wasn't like I thought I was gonna go to attack. I mean, I wasn't an engineer, you know. I grew up in India with economics degree. That's when women went into We didn't necessarily go into science. But when I joined McKinsey in the early days, I ended up working with, you know, the big companies of the days. You know, the IBMs, the E M. C. Is the Microsoft the oracles, etcetera. So I just then began to love, love the innovation, always being on the sort of bleeding edge. Um, and I guess it was a little bit just fascinating for me not being an engineer to learn how technology had all these applications in terms of how businesses advanced. So I guess, Yeah, that's kind of why I still think it around with it. It's interesting >>how you mentioned how you at that time you pipeline into economics, which is math. Of course. Uh, math is needed for economics, but also the big picture and This is one of the conversation we're having, Uh, this year, the breaking down the barriers for women in tech. Now there's more jobs you don't You don't need to have one pathway into into science or, you know, we're talking stem versus steam arts are super important, being creative. So the barriers to get in are being removed. I mean, if you think about the surface area for technology. So I got to ask you, what barriers do you think Stop girls and young women the most in considering a career in Tech? >>I've got to start with role models, John. Right? Because I think a number of us grew up, by the way, being the only not having the allies in the business, right? All of us, all the all the managers and hiring people are males rather than females. And the fact of the matter is, we didn't have this sort of he for she movement. And I think that's the biggest barrier is not having enough role models and positive role models in the business. I can tell you that research shows that actually, when you have female role models, you tend to hire more and actually what employees say is they feel more supportive when they have actually female managers. So I think there are lots of goodness, but we just need to accelerate how many role models we have. I think the other things I will say to you as well is, if you look at just the curriculum and the ability to get women into stem, right, I mean, we need to have colleges, universities, schools also encouraging women into stem. And you've probably heard about our programme. You know, it's something we do to encourage girls into stem. I think it's really important that teachers and others are actually encouraging girls to do math, for example, right? It's not just about science. Math is great. Logic is great, by the way. Philosophy is great. I just love what you said. I think increasingly, the EQ and EQ parts have to come together, and I think that's what women excel at. Um, so I think that's another very, very big carrier, and then the only other thing I will say is we're gonna watch the language we use, like when I think about job descriptions, they tend to be very male oriented languages we look at CVS now, if you haven't been a female in tech for a long time, your CV isn't going to show a lot of tech, is it? So for recruiters out there, look for competencies. Look for capabilities. You mentioned strategy and arts earlier. We have this leadership principles, As you know, John, really well, think big and dive deep, right? That strategy and operations. And so I think we we need to recruit for that. And we need to recruit for culture. And we need to recruit for people with ambition, an aspiration and not always Just look at 20 years of experience because you're not gonna find it. So I think those are some of the big barriers. Um, that I that I at least think, is stopping women from getting into town. But the biggest one is not enough women at the top hiring women. >>I think people want to see themselves, or at least an aspirational version of what they could be. And I think that's only gonna get better. Lots changed. A lot has happened over the years, but now, with technology in everyone's life, covid pulled forward a lot of realities. You know, the current situation in Europe where you're you are now has pulled forward a lot of realities around community, cyber, digital, our lives. And I think this opens up new positions, clearly cybersecurity. And I'm sure the job boards in every company is hiring people that didn't exist years ago, but also this new problems to solve. So the younger generation coming up, um, is gonna work on these problems, and they need to have role models. So what's your reaction to that? You know, new problems are opportunities their new so usually solved by probably the next generation. Uh, they need mentors. All this kind of works together. What's your reaction? >>Yeah, and, you know, let me pick up on something we're doing that I think is really important. I think you have to address age on the pipeline problem, you know, because they're just is a pipeline problem, you know, at the end of the day, And by that, what I mean is, we need to have more and more people with the and I'm not gonna use the word engineering or science. I'm going to use the word digital skills, right? And I think what we've we've committed to doing, John, you know, I'm very proud of this is we said we're gonna train 29 people 29 million people around this world on digital skills for free by 2025. Right, That's gonna help us get that pipeline going. The other thing we do is something called Restart where we actually do 12 weeks of training for the under, employed and under served right and underrepresented communities. And that means in 12 weeks we can get someone. And you know, this case I talk to you about this before I love it. Fast food operator to cloud, right? I mean, that's that's what I call changing the game on pipeline. But But here's the other stand. Even if the pipeline is good and we often see that the pipeline can be as much as 50% at the very early career women, by the time you get into the C suite, you're not a 50 anymore. You're less than 20%. So the other big thing John there, and this comes back to the types of roles you have an opportunities you create. We've got to pull women through the pipeline. We've really got to encourage that there are sponsors and not just mentors. I think women are sorry to say this over mentored and under sponsored. We need more people say I'm gonna open the door for you and create the opportunity I had that advantage. I hit people through my career. By the way, they were all men, right? Who actually stood out there and bang on the door and said, Okay, Tunisia is gonna go do this. And my first break I remember was having done strategy all my life when the CEO come into the room and you said, You're gonna better locks and you're gonna go run the P and L in Benelux and I almost fainted because I thought, Oh, my God, I've never run a PNR before But it's that type of risk taking that's going to be critical. And I think we've got to train our leaders and our managers to have those conversations be the sponsors, get that unconscious bias training. We all have it. Every single one of us has it. I think those are the combinations of things that are going to actually help open the door and make a see that Actually, it's not just about coding. It's actually about sales. It's about marketing. It's about product management. It's about strategy. It's about sales operations. It's about really, really thinking differently about your customers, right? And that's the thing that I think is attractive about technology. And you know what? Maybe that leads you to eventually become a coder. Or maybe not. Maybe you enter from coding, but those are all the range is available to you in technology, which is not good at advertising, >>that there's more applications than ever before. But I love your comment about over mentoring and under sponsored. Can you quickly just define the difference between those two support elements sponsoring versus, uh, mentoring sponsoring >>So mentors And by the way they can range from my son is my mentor, you know, is a great reverse mentor. By the way, I really encourage you to have the reverse mentoring going. So many mentors are people from all walks of your life, right? And you should have, you know, half a dozen of those. At least I think right who are going to be able to help you deal with situations, help coach you give you feedback respond to concerns You're having find ways for you to navigate all the stuff you need, by the way. Right? And feedback the gift we need that sponsors. It's not about the feedback. Necessarily. It's people who literally will create opportunities for you. Mentors don't necessarily do that. Sponsors will say you You know what? We got the phone. Call John and say, John, I've got the perfect person for you. You need to go speak to her. That's the big difference. John and a couple of sponsors. It's not about many, >>and that's where the change happens. I love that comment. Good call. I'm glad I could double down on that. Now that you have the environment, pipeline and working, you have the people themselves in the environment getting better sponsors and mentors, hopefully working more and more together. But once they're in the environment, they still got to be part of it. So as girls and young women and to the working sector for tech, what advice would you give them? Because now they're in the game there in the arena. So what advice would you give them? Because the environments they are now >>yeah, yeah. I mean, Gosh, John, it's you know, you've lived your career in this space. It's an exciting place to be right. Um, it's a growth opportunity. And I think that's a really important point because the more you enter sectors where there's a lot of growth and I would say hyper right growth, that's just gonna open the doors to so many more things. If you're in a place where it's all about cost cutting and restructuring, do you know what? It's super hard to really compete and have fun, right? And as we say, make history. So it's an exciting place. Today's world transformation equals digital transformation, right? So tech is the place to be, because tech is about transformation, Right? So coming in here, the one advice I would give you is Just do it because believe me, there's so much you can do, like take the risk, find someone is going to give you that entree point and get in the door right? And look, you know what's the worst that could happen? The worst that could happen is you don't like it. Fine. There's lots of other things than to go to. So my advice is, you know, don't take the mm. The really bad tips I've received in my career, right? Don't let people tell you you can't do it. You're not good enough. You don't have the experience, right? It's a male's world. You're a woman. It's all about you and not about EQ. Because that's just rubbish, Frankly, right. The top tip I was ever given was actually to take the risk and go for it. And that was my father. And then all these other sponsors I've had around the way. So that's that's the one thing I would say. The other thing I will say to you is the reason I advise it and the reason you should go for it. It's purposeful. Technology is changing our lives, you know, And we will all live to be no longer. 87 I think 100 right? And so you have the opportunity to change the course of the world by coming to technology. The vaccine deployment John was a great example, right? Without cloud, we couldn't have launch these vaccines as fast as we did. Right? Um, so I think there's a tonne of purpose. You've got to get in and then you've got to find. As I said, those sponsors, you've got to find those mentors. You've got to not worry about vertical opportunities and getting promoted. You gotta worry about horizontal opportunities, right? And doing the things that I needed to get the skills that you require, right? I also say one thing. Um, don't Don't let people tell you not to speak up, not to express your opinion. Do all of the above be authentic, Be authentic style. You will see more role models. Many, many more role models are gonna come out in tech that are going to be female role models. And actually, the men are really stepping up to the role models. And so we will be better together. And here's the big thing. We need you. We can do this without women. There's no possible way that we will be able to deliver on the absolute incredible transformation we have ahead of us without you. >>Inclusion, Diversity equity. These are force multipliers for companies. If applied properly, it's competitive advantage. And so breaking the bias. The theme this year is super super important. It sounds like common sense, but the reality is you break the bias It's not just women as men, as all of us. What can we do? Better to bring that force multiplier capabilities and competitive advantage of inclusion, diversity, equity to business. >>So the first thing I would say and my doctor used to always tell me this if it hurts, don't do it right. I would say to you just do it. Get diverse teams in place because if you have diverse teams, you have diversity of thought. You don't have to worry as much about bias because, you know, you've got the people around the table who actually represent the world. We also do something really cool. We have something called biassed busters. And so in meetings we have bias borders. People are going to, like, raise their hand and say, I'm not sure that that was really meant the way it was supposed to be, So I think that's just a nice little mechanism that we have here, Um, in a W s that helps. The other thing I would say to you is being your authentic self. You can't be a man and mentioned be women, and you're not gonna replicate somebody else because you're never gonna succeed if you do that, you know? So I would say be your authentic self all of the time, You know, we know. We know that women are sometimes labelled as aggressive when they're really not. Don't worry about it. It's not personal. I think the main thing you have to do is and I advise women all the time Is calibrate the feedback you're getting okay? Don't catastrophizing it right. Calibrate it. Taken in, you don't have to react to every feedback in the world, right? And make sure that you're also conscious of your own biases, right? So I think those are my Those are my two cents John for what they were for breaking device. I love the thing. >>Be yourself, You know, Don't take it too personal. Have some fun. That's life. That's a life lesson. Um, Final question, while I got you here, you're a great inspiration, and you're a great role model. You're running a very big business for Amazon web services. Europe, Middle East and Africa is a huge territory. It's its own thing. It's It's like you're bigger than some companies out there. Your role in your organisation. What's the hot area out there you were talking before camera. That's emerging areas that you're focused on. People are watching this young women, young ladies around the world. We're gonna look at this and say, What wave should I jump on? What's the hot things happening in in Europe? Middle Eastern Africa? >>I think the three things I would mention and I'm sure there's I'm sure, John, as we've spoken to my peers across the other gos, right, there are some similarities. The very, very hot thing right now is sustainability. Um, and you know, people are really building sustainability into their strategy. It's no longer sort of just an E S G goal in itself. It's actually very much part of changing the way they do business. So I think that's the hard part. And that's why again, I think it's a phenomenal place to be. I think the other big thing that we're absolutely talking about a lot is, and you know, this is getting even more complicated right now is just around security and cyber security and where that's going and how can we be really thinking about how we address some of these concerns that are coming out and I think there's There's something. There's a lot to be said about the way we build our infrastructure in terms of that context. So I think that's the second one. I think the third one is. People are really looking at technology to change the way businesses operate. So how does HR operate? How do you improve your employee value proposition? How do you do marketing in the next generation? How do you do finance in the next generation? So across the business is no longer the place of I t. It really is about changing the way we are as businesses and all of us becoming tech companies at the core. So the big thing there, John, is data data at the heart of everything we do data not because it's there in front of you, but data because you can actually make decisions on the back of it. So those are the things, Um, I seem to come across a lot more than anything else. >>It's always great to talk to you, your senior leader at AWS, um, inspirational to many. And thank you for taking the time to speak with us here on this great event. Women in text. Global Celebration of International Women's Day. Thank you so much for your time. >>Thank you, John. Always great to talk to you. >>We will definitely be keeping in touch More storeys to be had and we're gonna bring it to you. This is the cubes continuing presentation of women in tech. A global event celebrating International Women's Day. I'm John for your host. Thanks for watching. Yeah.

Published Date : Mar 9 2022

SUMMARY :

Thank you for coming in all the way across the pond and the US to Palo Alto from London. I'm super excited to be part of this particularly special What have been some of the key things in your career history that you can share? And I think that's probably what you see. I love the strategy and operations comment because they're both fun, but they're different ones. I mean, I wasn't an engineer, you know. So the barriers to get in are being removed. I think the other things I will say to you as well is, And I think this opens up new positions, And I think what we've we've committed to doing, John, you know, Can you quickly just define the difference between those two support elements By the way, I really encourage you to have the reverse and to the working sector for tech, what advice would you give them? And doing the things that I needed to get the skills that you require, right? but the reality is you break the bias It's not just women as men, as all of us. I think the main thing you have to do is and I advise What's the hot area out there you were talking before camera. Um, and you know, people are really building sustainability into And thank you for taking the time to speak with us here on this great event. This is the cubes continuing presentation

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Tanuja Randery, AWS | AWS re:Invent 2021


 

>>Hey, welcome back everyone to the cubes coverage of eaters reinvent 2021. So our third day wall-to-wall coverage. I'm my coach, Dave Alonzo. He we're getting all the action two sets in person. It's also a virtual hybrid events with a lot of great content online, bringing you all the fresh voices, all the knowledge, all the news and all the action and got great guests here today. As your renderer, managing director of AWS is Europe, middle east, and Africa also known as EMIA. Welcome to the cube. Welcome, >>Welcome. Thanks for coming on. Lovely to be here. >>So Europe is really hot. Middle east Africa. Great growth. The VC culture in Europe specifically has been booming this year. A lot of great action. We've done many cube gigs out there talking to folks, uh, entrepreneurship, cloud, native growth, and then for us it's global. It's awesome. So first question got to ask you is, is you're new to AWS? What brought you here? >>Yeah, no, John, thank you so much. I've been here about three and a half months now, actually. Um, so what brought me here? Um, I have been in and around the tech world since I was a baby. Um, my father was an entrepreneur. I sold fax machines and microfilm equipment in my early days. And then my career has spanned technology in some form or the other. I was at EMC when we bought VMware. Uh, I was a Colt when we did a FinTech startup joined Schneider in my background, which is industrial tech. So I guess I'm a bit of a tech nerd, although I'm not an engineer, that's for sure. The other thing is I've spent a huge part of my career advising clients. And so while I was at McKinsey on business transformation and cloud keeps coming up, especially post pandemic, huge, huge, huge enabler, right of transformation. So when I got the call from AWS, I thought here's my opportunity to finally take what companies are wrestling with, bring together a pioneer in cloud with our enterprise and start-up and SMB clients connect those dots between business and technology and make things happen. So it real magic. So that's what brought me here. And I guess the only other thing to say is I'd heard a lot of other culture, customer mash, obsession, and leadership principles. >>That's why I'm here. It's been a great success. I got to ask you too, now that your new ostium McKinsey, even seeing the front lines, all the transformation, the pandemic has really forced everybody globally to move faster. Uh, things like connect were popular in EMEA. How, how is that going out? There's at the same kind of global pressure on the digital transformation with cloud? What are you seeing out there? >>I've been traveling since I joined, uh, around 10 of the countries already. So Ben planes, trains, automobiles, and what you definitely see is massive acceleration. And I think it's around reinvention of the business. So people are adopting cloud because it's obviously there's cost reasons. There's MNA reasons. There's really increasingly more about innovating. How do I innovate my business? How do I reinvent my business? So you see that constantly. Um, and whether you're a enterprise company or you're a startup, they're all adopting cloud in different, different ways. Um, I mean, I want to tell a core to stack because it's really interesting. And Adam mentioned this in his keynote five to 15% only of workloads have moved to the cloud. So there's a tremendous runway ahead of us. Um, and the three big things on people's minds helped me become a tech company. So it doesn't matter who you are, you're retail, whether you're life sciences or healthcare. You've probably heard about the Roche, uh, work that we're doing with Roche around accelerating R and D with data, or if you're a shoes Addie desk, how do you accelerate again, your personalized experiences? So it doesn't matter who you have helped me become a tech company, give me skills, digital skills, and then help me become a more sustainable company. Those are the three big things I'm thinking of. >>So a couple of things to unpack there. So think about it. Transformation. We still have a long way to go to your point, whatever 10, 15%, depending on which numbers you look at. We've been talking a lot in the cube about the next decade around business transformation, deeper business integration, and the four smarts to digital. And the woke us up to that, accelerated that as you say, so as you travel around to customers in AMEA, what are you hearing with regard to that? I mean, many customers maybe didn't have time to plan. Now they can sit back and take what they've learned. What are you hearing? >>Yeah. And it's, it's a little bit different in different places, right? So, I mean, if you start, if you look at, uh, you know, our businesses, for example, in France, if you look at our businesses in Iberia or Italy, a lot of them are now starting they're on the, at least on the enterprise front, they are now starting to adopt cloud. So they stepping back and thinking about their overall strategy, right? And then the way that they're doing it is actually they're using data as the first trigger point. And I think that makes it easier to migrate because if you, if you look at large enterprises and if you think of the big processes that they've got and all the mainframes and everything that they need to do, if you S if you look at it as one big block, it's too difficult. But when you think about data, you can actually start to aggregate all of your data into one area and then start to analyze and unpack that. >>So I think what I'm seeing for sure is in those countries, data is the first trigger. If you go out to Israel, well that you've got all, it's really start up nation as you know, right. And then we've got more of the digital natives and they want to, you know, absorb all of the innovation that we're throwing at them. And you've heard a lot here at reinvent on some of the things, whether it's digital twins or robotics, or frankly, even using 5g private network, we've just announcement. They are adopting innovation and really taking that in. So it really does differ, but I think the one big message I would leave you with is bringing industry solutions to business is critical. So rather than just talking it and technology, we've got to be able to bring some of what we've done. So for example, the Goldman Sachs financial cloud, bring that to the rest of financial services companies and the media, or if you take the work we're doing on industrials and IOT. So it's really about connecting what industry use cases with. >>What's interesting about the Goldman Dave and I were commenting. I think we coined the term, the story we wrote on Thursday last week, and then PIP was Sunday superclouds because you look at the rise of snowflake and Databricks and Goldman Sachs. You're going to start to see people building on AWS and building these super clouds because they are taking unique platform features of AWS and then sacrificing it for their needs, and then offering that as a service. So there's kind of a whole nother tier developing in the natural evolution of clouds. So the partners are on fire right now because the creativity, the market opportunities are there to be captured. So you're seeing this opportunity recognition, opportunity, capture vibe going on. And it's interesting. I'd love to get your thoughts on how you see that, because certainly the VCs are here in force. I did when I saw all the top Silicon valley VCs here, um, and some European VCs are all here. They're all seeing this. >>So pick up on two things you mentioned that I think absolutely spot on. We're absolutely seeing with our partners, this integration on our platform is so important. So we talk about the power of three, which is you bring a JSI partner, you bring an ISV partner, you bring AWS, you create that power of three and you take it to our customers. And it doesn't matter which industry we are. Our partner ecosystem is so rich. The Adam mentioned, we have a hundred thousand partners around the world, and then you integrate that with marketplace. Um, and the AWS marketplace just opens the world. We have about 325,000 active customers on marketplace. So sassiphy cation integration with our platform, bringing in the GSI and the NSIs. I think that's the real power to, to, to coming back to your point on transformation on the second one, the unicorns, you know, it's interesting. >>So UK France, um, Israel, Mia, I spent a lot of time, uh, recently in Dubai and you can see it happening there. Uh, Africa, Nigeria, South Africa, I mean all across those countries, you're saying huge amount of VC funding going in towards developers, towards startups to at scale-ups more and more of a, um, our startup clients, by the way, uh, are actually going IPO. You know, initially it used to be a lot of M and a and strategic acquisitions, but they have actually bigger aspirations and they're going IPO and we've seen them through from when they were seed or pre-seed all the way to now that they are unicorns. Right? So that there's just a tremendous amount happening in EMEA. Um, and we're fueling that, you know, you know, I mean, born in the cloud is easy, right? In terms of what AWS brings to the table. >>Well, I've been sacred for years. I always talked to Andy Jassy about this. Cause he's a big sports nut. When you bring like these stadiums to certain cities that rejuvenates and Amazon regions are bringing local rejuvenation around the digital economies. And what you see with the startup culture is the ecosystems around it. And Silicon valley thrives because you have all the service providers, you have all the fear of failure goes away. There's support systems. You start to see now with AWS as ecosystem, that same ecosystem support the robustness of it. So, you know, it's classic, rising tide floats all boats kind of vibe. So, I mean, we don't really have our narrative get down on this, but we're seeing this ecosystem kind of play going on. Yeah. >>And actually it's a real virtuous circle, or we call flywheel right within AWS because a startup wants to connect to an enterprise. An enterprise wants to connect to a startup, right? A lot of our ISV partners, by the way, were startups. Now they've graduated and they're like very large. So what we are, I see our role. And by the way, this is one of the other reasons I came here is I see our role to be able to be real facilitators of these ecosystems. Right. And, you know, we've got something that we kicked off in EMEA, which I'm really proud of called our EMEA startup loft accelerator. And we launched that a web summit. And the idea is to bring startups into our space virtually and physically and help them build and help them make those connections. So I think really, I really do think, and I enterprise clients are asking us all the time, right? Who do I need to involve if I'm thinking IOT, who do I need to involve if I want to do something with data. And that's what we do. Super connectors, >>John, you mentioned the, the Goldman deal. And I think it was Adam in his keynote was talking about our customers are asking us to teach them how to essentially build a Supercloud. I mean, our words. But so with your McKinsey background, I would imagine there's real opportunities there, especially as you, I hear you talk about IMIA going around to see customers. There must be a lot of, sort of non-digital businesses that are now transforming to digital. A lot of capital needs there, but maybe you could talk about sort of how you see that playing out over the next several years in your role and AWS's role in affecting that transfer. >>Yeah, no, absolutely. I mean, you're right actually. And I, you know, maybe I will, from my past experience pick up on something, you know, I was in the world of industry, uh, with Schneider as an example. And, you know, we did business through the channel. Um, and a lot of our channel was not digitized. You know, you had point of sale, electrical distributors, wholesalers, et cetera. I think all of those businesses during the pandemic realized that they had to go digital and online. Right. And so they started from having one fax machine in a store. Real literally I'm not kidding nothing else to actually having to go online and be able to do click and collect and various other things. And we were able with AWS, you can spin up in minutes, right. That sort of service, right. I love the fact that you have a credit card you can get onto our cloud. >>Right. That's the whole thing. And it's about instances. John Adam talked about instances, which I think is great. How do businesses transform? And again, I think it's about unpacking the problem, right? So what we do a lot is we sit down with our customers and we actually map a migration journey with them, right? We look across their core infrastructure. We look at their SAP systems. For example, we look at what's happening in the various businesses, their e-commerce systems, that customer life cycle value management systems. I think you've got to go business by business by business use case by use case, by use case, and then help our technology enable that use case to actually digitize. And whether it's front office or back office. I think the advantages are pretty clear. It's more, I think the difficulty is not technology anymore. The difficulty is mindset, leadership, commitment, the operating model, the organizational model and skills. And so what we have to do is AWS is bringing not only our technology, but our culture of innovation and our digital innovation teams to help our clients on that journey >>Technology. Well, we really appreciate you taking the time coming on the cube. We have a couple more minutes. I do want to get into what's your agenda. Now that you're got you're in charge, got the landscape and the 20 mile stare in front of you. Cloud's booming. You got some personal passion projects. Tell us what your plans are. >>So, um, three or four things, right? Three or four, really big takeaways for me is one. I, I came here to help make sure our customers could leverage the power of the cloud. So I will not feel like my job's been done if I haven't been able to do that. So, you know, that five to 15% we talked about, we've got to go 50, 60, 70%. That that's, that's the goal, right? And why not a hundred percent at some point, right? So I think over the next few years, that's the acceleration we need to help bring in AMEA Americas already started to get there as you know, much more, and we need to drive that into me. And then eventually our APJ colleagues are going to do the same. So that's one thing. The other is we talked about partners. I really want to accelerate and expand our partner ecosystem. >>Um, we have actually a huge growth by the way, in the number of partners signing up the number of certifications they're taking, I really, really want to double down on our partners and actually do what they ask us for, which is join. Co-sell joined marketing globalization. So that's two, I think the third big thing is when you mentioned industry industry industry, we've got to bring real use cases and solutions to our customers and not only talk technology got to connect those two dots. And we have lots of examples to bring by the way. Um, and then for hire and develop the best, you know, we've got a new LP as you know, to strive to be at its best employer. I want to do that in a Mia. I want to make sure we can actually do that. We attract, we retain and we grow and we develop that. >>And the diversity has been a huge theme of this event. It's front and center in virtually every company. >>I am. I'm usually passionate about diversity. I'm proud actually that when I was back at Schneider, I launched something called the power women network. We're a network of a hundred senior women and we meet every month. I've also got a podcast out there. So if anyone's listening, it's called power. Women's speak. It is, I've done 16 over the pandemic with CEOs of women podcast, our women speak >>Or women speak oh, >>And Spotify and >>Everything else. >>And, um, you know, what I love about what we're doing is AWS on diversity and you heard Adam onstage, uh, talk to this. We've got our restock program where we really help under employed and unemployed to get a 12 week intensive course and get trained up on thought skills. And the other thing is, get it helping young girls, 12 to 15, get into stem. So lots of different things on the whole, but we need to do a lot more of course, on diversity. And I look forward to helping our clients through that as well. >>Well, we had, we had the training VP on yesterday. It's all free trainings free. >>We've got such a digital skills issue that I love that we've said 29 million people around the world, free cloud training. >>Literally the th the, the gap there between earnings with cloud certification, you can be making six figures like with cloud training. So, I mean, it's really easy. It's free. It's like, it's such a great thing. >>Have you seen the YouTube video on Charlotte Wilkins? Donald's fast food. She changed her mind. She wanted to take Korea. She now has a tech career as a result of being part of restock. Awesome. >>Oh, really appreciate. You got a lot of energy and love, love the podcast. I'm subscribing. I'm going to listen. We love doing the podcast as well. So thanks for coming on the >>Queue. Thank you so much for having me >>Good luck on anemia and your plans. Thank you. Okay. Cube. You're watching the cube, the leader in global tech coverage. We go to the events and extract the signal from the noise. I'm John furrier with Dave, a lot to here at re-invent physical event in person hybrid event as well. Thanks for watching.

Published Date : Dec 2 2021

SUMMARY :

It's also a virtual hybrid events with a lot of great content online, bringing you all the fresh voices, Lovely to be here. So first question got to ask you is, is you're new to AWS? And I guess the only other thing to say is I'd heard a lot of other culture, I got to ask you too, now that your new ostium McKinsey, even seeing the front So Ben planes, trains, automobiles, and what you definitely see is massive And the woke us up to that, accelerated that as you say, so as you travel around to customers in AMEA, and all the mainframes and everything that they need to do, if you S if you look at it as one big block, it's too difficult. So for example, the Goldman Sachs financial cloud, bring that to the rest of because the creativity, the market opportunities are there to be captured. second one, the unicorns, you know, it's interesting. and we're fueling that, you know, you know, I mean, born in the cloud is easy, right? all the service providers, you have all the fear of failure goes away. And the idea is to bring A lot of capital needs there, but maybe you could talk about sort of how you see that playing I love the fact that you have a credit card you can get onto our cloud. So what we do a lot is we sit down with our customers and we actually map Well, we really appreciate you taking the time coming on the cube. in AMEA Americas already started to get there as you know, much more, and we need to drive that into So that's two, I think the third big thing is when you mentioned industry industry And the diversity has been a huge theme of this event. back at Schneider, I launched something called the power women network. And I look forward to helping our clients through that as well. Well, we had, we had the training VP on yesterday. around the world, free cloud training. Literally the th the, the gap there between earnings with cloud certification, Have you seen the YouTube video on Charlotte Wilkins? So thanks for coming on the Thank you so much for having me We go to the events and extract the signal from the noise.

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Eric Herzog, Infinidat | CUBEconversations


 

(upbeat music) >> Despite its 70 to $80 billion total available market, computer storage is like a small town, everybody knows everybody else. We say in the storage world, there are a hundred people, and 99 seats. Infinidat is a company that was founded in 2011 by storage legend, Moshe Yanai. The company is known for building products with rock solid availability, simplicity, and a passion for white glove service, and client satisfaction. Company went through a leadership change recently, in early this year, appointed industry vet, Phil Bullinger, as CEO. It's making more moves, bringing on longtime storage sales exec, Richard Bradbury, to run EMEA, and APJ Go-To-Market. And just recently appointed marketing maven, Eric Hertzog to be CMO. Hertzog has worked at numerous companies, ranging from startups that were acquired, two stints at IBM, and is SVP of product marketing and management at Storage Powerhouse, EMC, among others. Hertzog has been named CMO of the year as an OnCon Icon, and top 100 influencer in big data, AI, and also hybrid cloud, along with yours truly, if I may say so. Joining me today, is the newly minted CMO of Infinidat, Mr.Eric Hertzog. Good to see you, Eric, thanks for coming on. >> Dave, thank you very much. You know, we love being on theCUBE, and I am of course sporting my Infinidat logo wear already, even though I've only been on the job for two weeks. >> Dude, no Hawaiian shirt, okay. That's a pretty buttoned up company. >> Well, next time, I'll have a Hawaiian shirt, don't worry. >> Okay, so give us the backstory, how did this all come about? you know Phil, my 99 seat joke, but, how did it come about? Tell us that story. >> So, I have known Phil since the late 90s, when he was a VP at LSA of Engineering, and he had... I was working at a company called Milax, which was acquired by IBM. And we were doing a product for HP, and he was providing the subsystem, and we were providing the fiber to fiber, and fiber to SCSI array controllers back in the day. So I met him then, we kept in touch for years. And then when I was a senior VP at EMC, he started originally as VP of engineering for the EMC Isilon team. And then he became the general manager. So, while I didn't work for him, I worked with him, A, at LSA, and then again at EMC. So I just happened to congratulate him about some award he won, and he said "Hey Herzog, "we should talk, I have a CMO opening". So literally happened over LinkedIn discussion, where I reached out to him, and congratulate him, he said "Hey, I need a CMO, let's talk". So, the whole thing took about three weeks in all honesty. And that included interviewing with other members of his exec staff. >> That's awesome, that's right, he was running the Isilon division for awhile at the EMC. >> Right. >> You guys were there, and of course, you talk about Milax, LSA, there was a period of time where, you guys were making subsystems for everybody. So, you sort of saw the whole landscape. So, you got some serious storage history and chops. So, I want to ask you what attracted you to Infinidat. I mean, obviously they're a leader in the magic quadrant. We know about InfiniBox, and the petabyte scale, and the low latency, what are the... When you look at the market, you obviously you see it, you talk to everybody. What were the trends that were driving your decision to join Infinidat? >> Well, a couple of things. First of all, as you know, and you guys have talked about it on theCUBE, most CIOs don't know anything about storage, other than they know a guy got to spend money on it. So the Infinidat message of optimizing applications, workloads, and use cases with 100% guaranteed availability, unmatched reliability, the set and forget ease of use, which obviously AIOps is driving that, and overall IT operations management was very attractive. And then on top of that, the reality is, when you do that consolidation, which Infinidat can do, because of the performance that it has, you can dramatically free up rack, stack, power, floor, and operational manpower by literally getting rid of, tons and tons of arrays. There's one customer that they have, you actually... I found out when I got here, they took out a hundred arrays from EMC Hitachi. And that company now has 20 InfiniBoxes, and InfiniBox SSAs running the exact same workloads that used to be, well over a hundred subsystems from the other players. So, that's got a performance angle, a CapEx and OPEX angle, and then even a clean energy angle because reducing Watson slots. So, lots of different advantages there. And then I think from just a pure marketing perspective, as someone has said, they're the best kept secret to the storage industry. And so you need to, if you will, amp up the message, get it out. They've expanded the portfolio with the InfiniBox SSA, the InfiniGuard product, which is really optimized, not only as the PBA for backup perspective, and it works with all the backup vendors, but also, has an incredible play on data and cyber resilience with their capability of local logical air gapping, remote logical air gapping, and creating a clean room, if you will, a vault, so that you can then recover their review for malware ransomware before you do a full recovery. So it's got the right solutions, just that most people didn't know who they were. So, between the relationship with Phil, and the real opportunity that this company could skyrocket. In fact, we have 35 job openings right now, right now. >> Wow, okay, so yeah, I think it was Duplessy called them the best kept secret, he's not the only one. And so that brings us to you, and your mission because it's true, it is the best kept secret. You're a leader in the Gartner magic quadrant, but I mean, if you're not a leader in a Gartner magic quadrant, you're kind of nobody in storage. And so, but you got chops and block storage. You talked about the consolidation story, and I've talked to many folks in Infinidat about that. Ken Steinhardt rest his soul, Dr. Rico, good business friend, about, you know... So, that play and how you handle the whole blast radius. And that's always a great discussion, and Infinidat has proven that it can operate at very very high performance, low latency, petabyte scale. So how do you get the word out? What's your mission? >> Well, so we're going to do a couple of things. We're going to be very, very tied to the channel as you know, EMC, Dell EMC, and these are articles that have been in CRN, and other channel publications is pulling back from the channel, letting go of channel managers, and there's been a lot of conflict. So, we're going to embrace the channel. We already do well over 90% of our business within general globally. So, we're doing that. In fact, I am meeting, personally, next week with five different CEOs of channel partners. Of which, only one of them is doing business with Infinidat now. So, we want to expand our channel, and leverage the channel, take advantage of these changes in the channel. We are going to be increasing our presence in the public relations area. The work we do with all the industry analysts, not just in North America, but in Europe as well, and Asia. We're going to amp up, of course, our social media effort, both of us, of course, having been named some of the best social media guys in the world the last couple of years. So, we're going to open that up. And then, obviously, increase our demand generation activities as well. So, we're going to make sure that we leverage what we do, and deliver that message to the world. Deliver it to the partner base, so the partners can take advantage, and make good margin and revenue, but delivering products that really meet the needs of the customers while saving them dramatically on CapEx and OPEX. So, the partner wins, and the end user wins. And that's the best scenario you can do when you're leveraging the channel to help you grow your business. >> So you're not only just the marketing guy, I mean, you know product, you ran product management at very senior levels. So, you could... You're like a walking spec sheet, John Farrier says you could just rattle it off. Already impressed that how much you know about Infinidat, but when you joined EMC, it was almost like, there was too many products, right? When you joined IBM, even though it had a big portfolio, it's like it didn't have enough relevant products. And you had to sort of deal with that. How do you feel about the product portfolio at Infinidat? >> Well, for us, it's right in the perfect niche. Enterprise class, AI based software defined storage technologies that happens run on a hybrid array, an all flash array, has a variant that's really tuned towards modern data protection, including data and cyber resilience. So, with those three elements of the portfolio, which by the way, all have a common architecture. So while there are three different solutions, all common architecture. So if you know how to use the InfiniBox, you can easily use an InfiniGuard. You got an InfiniGuard, you can easily use an InfiniBox SSA. So the capability of doing that, helps reduce operational manpower and hence, of course, OPEX. So the story is strong technically, the story has a strong business tie in. So part of the thing you have to do in marketing these days. Yeah, we both been around. So you could just talk about IOPS, and latency, and bandwidth. And if the people didn't... If the CIO didn't know what that meant, so what? But the world has changed on the expenditure of infrastructure. If you don't have seamless integration with hybrid cloud, virtual environments and containers, which Infinidat can do all that, then you're not relevant from a CIO perspective. And obviously with many workloads moving to the cloud, you've got to have this infrastructure that supports core edge and cloud, the virtualization layer, and of course, the container layer across a hybrid environment. And we can do that with all three of these solutions. Yet, with a common underlying software defined storage architecture. So it makes the technical story very powerful. Then you turn that into business benefit, CapEX, OPEX, the operational manpower, unmatched availability, which is obviously a big deal these days, unmatched performance, everybody wants their SAP workload or their Oracle or Mongo Cassandra to be, instantaneous from the app perspective. Excuse me. And we can do that. And that's the kind of thing that... My job is to translate that from that technical value into the business value, that can be appreciated by the CIO, by the CSO, by the VP of software development, who then says to VP of industry, that Infinidat stuff, we actually need that for our SAP workload, or wow, for our overall corporate cybersecurity strategy, the CSO says, the key element of the storage part of that overall corporate cybersecurity strategy are those Infinidat guys with their great cyber and data resilience. And that's the kind of thing that my job, and my team's job to work on to get the market to understand and appreciate that business value that the underlying technology delivers. >> So the other thing, the interesting thing about Infinidat. This was always a source of spirited discussions over the years with business friends from Infinidat was the company figured out a way, it was formed in 2011, and at the time the strategy perfectly reasonable to say, okay, let's build a better box. And the way they approached that from a cost standpoint was you were able to get the most out of spinning disk. Everybody else was moving to flash, of course, floyers work a big flash, all flash data center, etc, etc. But Infinidat with its memory cache and its architecture, and its algorithms was able to figure out how to magically get equivalent or better performance in an all flash array out of a system that had a lot of spinning disks, which is I think unique. I mean, I know it's unique, very rare anyway. And so that was kind of interesting, but at the time it made sense, to go after a big market with a better mouse trap. Now, if I were starting a company today, I might take a different approach, I might try to build, a storage cloud or something like that. Or if I had a huge install base that I was trying to protect, and maybe go into that. But so what's the strategy? You still got huge share gain potentials for on-prem is that the vector? You mentioned hybrid cloud, what's the cloud strategy? Maybe you could summarize your thoughts on that? >> Sure, so the cloud strategy, is first of all, seamless integration to hybrid cloud environments. For example, we support Outpost as an example. Second thing, you'd be surprised at the number of cloud providers that actually use us as their backend, either for their primary storage, or for their secondary storage. So, we've got some of the largest hyperscalers in the world. For example, one of the Telcos has 150 Infiniboxes, InfiniBox SSAS and InfiniGuards. 150 running one of the largest Telcos on the planet. And a huge percentage of that is their corporate cloud effort where they're going in and saying, don't use Amazon or Azure, why don't you use us the giant Telco? So we've got that angle. We've got a ton of mid-sized cloud providers all over the world that their backup is our servers, or their primary storage that they offer is built on top of Infiniboxes or InfiniBox SSA. So, the cloud strategy is one to arm the hyperscalers, both big, medium, and small with what they need to provide the right end user services with the right outside SLAs. And the second thing is to have that hybrid cloud integration capability. For example, when I talked about InfiniGuard, we can do air gapping locally to give almost instantaneous recovery, but at the same time, if there's an earthquake in California or a tornado in Kansas City, or a tsunami in Singapore, you've got to have that remote air gapping capability, which InfiniGuard can do. Which of course, is essentially that logical air gap remote is basically a cloud strategy. So, we can do all of that. That's why it has a cloud strategy play. And again we have a number of public references in the cloud, US signal and others, where they talk about why they use the InfiniBox, and our technologies to offer their storage cloud services based on our platform. >> Okay, so I got to ask you, so you've mentioned earthquakes, a lot of earthquakes in California, dangerous place to live, US headquarters is in Waltham, we're going to pry you out of the Golden State? >> Let's see, I was born at Stanford hospital where my parents met when they were going there. I've never lived anywhere, but here. And of course, remember when I was working for EMC, I flew out every week, and I sort of lived at that Milford Courtyard Marriott. So I'll be out a lot, but I will not be moving, I'm a Silicon Valley guy, just like that old book, the Silicon Valley Guy from the old days, that's me. >> Yeah, the hotels in Waltham are a little better, but... So, what's your priority? Last question. What's the priority first 100 days? Where's your focus? >> Number one priority is team assessment and integration of the team across the other teams. One of the things I noticed about Infinidat, which is a little unusual, is there sometimes are silos and having done seven other small companies and startups, in a startup or a small company, you usually don't see that silo-ness, So we have to break down those walls. And by the way, we've been incredibly successful, even with the silos, imagine if everybody realized that business is a team sport. And so, we're going to do that, and do heavy levels of integration. We've already started to do an incredible outreach program to the press and to partners. We won a couple awards recently, we're up for two more awards in Europe, the SDC Awards, and one of the channel publications is going to give us an award next week. So yeah, we're amping up that sort of thing that we can leverage and extend. Both in the short term, but also, of course, across a longer term strategy. So, those are the things we're going to do first, and yeah, we're going to be rolling into, of course, 2022. So we've got a lot of work we're doing, as I mentioned, I'm meeting, five partners, CEOs, and only one of them is doing business with us now. So we want to get those partners to kick off January with us presenting at their sales kickoff, going "We are going with Infinidat "as one of our strong storage providers". So, we're doing all that upfront work in the first 100 days, so we can kick off Q1 with a real bang. >> Love the channel story, and you're a good guy to do that. And you mentioned the silos, correct me if I'm wrong, but Infinidat does a lot of business in overseas. A lot of business in Europe, obviously the affinity to the engineering, a lot of the engineering work that's going on in Israel, but that's by its very nature, stovepipe. Most startups start in the US, big market NFL cities, and then sort of go overseas. It's almost like Infinidat sort of simultaneously grew it's overseas business, and it's US business. >> Well, and we've got customers everywhere. We've got them in South Africa, all over Europe, Middle East. We have six very large customers in India, and a number of large customers in Japan. So we have a sales team all over the world. As you mentioned, our white glove service includes not only our field systems engineers, but we have a professional services group. We've actually written custom software for several customers. In fact, I was on the forecast meeting earlier today, and one of the comments that was made for someone who's going to give us a PO. So, the sales guy was saying, part of the reason we're getting the PO is we did some professional services work last quarter, and the CIO called and said, I can't believe it. And what CIO calls up a storage company these days, but the CIO called him and said "I can't believe the work you did. We're going to buy some more stuff this quarter". So that white glove service, our technical account managers to go along with the field sales SEs and this professional service is pretty unusual in a small company to have that level of, as you mentioned yourself, white glove service, when the company is so small. And that's been a real hidden gem for this company, and will continue to be so. >> Well, Eric, congratulations on the appointment, the new role, excited to see what you do, and how you craft the story, the strategy. And we've been following Infinidat since, sort of day zero and I really wish you the best. >> Great, well, thank you very much. Always appreciate theCUBE. And trust me, Dave, next time I will have my famous Hawaiian shirt. >> Ah, I can't wait. All right, thanks to Eric, and thank you for watching everybody. This is Dave Vellante for theCUBE, and we'll see you next time. (bright upbeat music)

Published Date : Nov 4 2021

SUMMARY :

Hertzog has been named CMO of the year on the job for two weeks. That's a pretty buttoned up company. a Hawaiian shirt, don't worry. you know Phil, my 99 seat joke, So, the whole thing took about division for awhile at the EMC. and the low latency, what are the... the reality is, when you You're a leader in the And that's the best scenario you can do just the marketing guy, and of course, the container layer and at the time the strategy And the second thing the Silicon Valley Guy from Yeah, the hotels in Waltham and integration of the team a lot of the engineering work and one of the comments that was made the new role, excited to see what you do, Great, well, thank you very much. and thank you for watching everybody.

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COMMUNICATIONS Delight Customers


 

>>Um, Jamie Sharath with Liga data, I'm primarily on the delivery side of the house, but I also support our new business teams. I'd like to spend a minute really just kind of telling you about, uh, uh, legal data where basically a Silicon valley startup, uh, started in 2014 and, uh, our lead iron, our executive team, basically where the data officers at Yahoo before this, uh, we provide managed data services and we provide products that are focused on telcos. So we have some experience in non telco industry, but our focus for the last seven years or so is specifically on telco. So again, something over 200 employees, we have a global presence in north America, middle east Africa, Asia, and Europe. And we have folks in all of those places. Uh, I'd like to call your attention to the, uh, the middle really of the screen there. >>So here is where we have done some partnership with Cloudera. So if you look at that, you can see we're in Holland and, uh, Jamaica, and then a lot to throughout Africa as well. Now the data fabric is the product that we're talking about. And the data fabric is basically a big data type of data warehouse with a lot of additional functionality involved. The data fabric is comprised of, uh, some something called flare, which we'll talk about admitted below there, and then the Cloudera data platform underneath. So this is how we're partnering together. We, uh, we, we have this tool and it's, uh, it's functioning and delivering in something over and up. Oops. So flare now, flare is a piece of that. It's legal data IP. The rest is Cloudera. And what flare does is that basically pulls in data and integrates it to an event streaming, uh, platform. >>It, uh, it is the engine behind the data fabric. Uh, it's also a decisioning platform. So in real time, we're able to pull in data. We're able to run analytics on it and we're able to alert our, do whatever is needed in a real-time basis. Of course, a lot of clients at this point are still sending data in batch. So it handles that as well, but we call that a cut off picture Sanchez. Now Sacho is a very interesting app. It's an AI analytics app for executives. What it is is it runs on your mobile phone. It ties into your data. Now this could be the data fabric, but it couldn't be a standalone product. And basically it allows you to ask, you know, human type questions to say, how are my gross ads last week? How are they comparing against same time last week before that? >>And even the same time 60 days ago. So as an executive or as an analyst, I can pull it up and I can look at it instantly in a meeting or anywhere else without having to think about queries or anything like that. So that's pretty much for us legal data. Now, it really does set the context of where we are. So this is a traditional telco environment. So you see the systems of record and you see the cloud, you see OSS and BSS day. So one of the things that the next step above which calls we call the system of intelligence of the data fabric does, is it mergers that BSS and OSS data. So the longer we have any silos or anything that's separated, it's all coming into one area to allow business, to go in or allow data scientists go in and do that. >>So if you look at the bottom line, excuse me, of the, uh, of the system of intelligence, you can see that flare is the tool that pulls in the data. So it provides even screening capabilities, it preserves entity states, so that you can go back and look at it to the state at any time. It does stream analytics that is as the data is coming in, it can perform analytics on it. And it also allows real-time decisioning. So that's something that, uh, that's something that business users can go in and create a system of, uh, if them's, it looks very much like a graph database where you can create a product that will allow the user to be notified if a certain condition happens. So for instance, a bundle, so a real-time offer or user is fixing to run out of is ongoing and an offer can be sent to him right on the fly. >>And that's set up by the business user as opposed to programmers a data infrastructure. So the fabric has really three areas. That data is persistent, obviously there's the data lake. So the data lake stores that level of granularity that is very deep years and years of history, data scientists love that. And, uh, you know, for a historical record keeping and requirements from the government, that data would be stored there. Then there's also something we call the business semantics layer and the business semantics layer contains something over 650 specific telco KPIs. These are initially from PM forum, but they also are included in, uh, various, uh, uh, mobile operators that we've delivered at. And we've, we've grown that. So that's there for business. The data lake is there for data scientists, analytical stores, uh, they can be used for many different reasons. There are a lot of times RDBMS is, are still there. >>So these, this, this basically platform, this cloud they're a platform can tie into analytical data stores as well via flair access and reporting. So graphic visualizations, API APIs are a very key part of it. A third-party query tools, any kind of grid jewels can be used. And those are the, of course, the, uh, the ones that are highly optimized and allow, you know, search of billions of records. And then if you look at the top, it's the systems of engagement, then you might vote this use cases. So telco reporting, hundreds of KPIs that are, that are generated for users, segmentation, basically micro to macro segmentation, segmentation will play a key role in a use case. We talk about in a minute monetizations. So this helps telco providers monetize their specific data, but monetize it in, okay, how to do they make money off of it, but also how might you leverage this data to, in, in dates with another client? >>So for instance, in some cases where it's allowed a DPI is used and the, uh, fabric tracks exactly where each person goes each, uh, we call it a subscriber, goes within his, uh, um, uh, internet browsing for 5g and, uh, all that data is stored. Uh, whereas you can tell a lot of things where the segment, the profile that's being used and, you know, what are they propensity to buy? Did they spend a lot of time on the Coca-Cola page? There are buyers out there that find that information very valuable, and then there's sideshow. And we spoke briefly about Sacha before that sits on top of the fabric or it's it's alone. >>So, so the story really that we want to tell is, is one, this is, this is one case out of it. This is a CVM type of case. So there was a mobile operator out there that was really offering, you know, packages, whether it's a bundle or whether it's a particular tool to subscribers, they, they were offering kind of an abroad approach that it was not very focused. It was not depending on the segments that were created around the profiling earlier, uh, the subscriber usage was somewhat dated and this was causing a lot of those. Uh, a lot of those offers to be just basically not taken and not, not, uh, uh, there was limited segmentation capabilities really before the, uh, before the, uh, fabric came in. Now, one of the key things about the fabric is when you start building segments, you can build that history. >>So all of that data stored in the data lake can be used in terms of segmentation. So what did we do about that? The, the, the MDNO, the challenge, uh, we basically put the data fabric in and the data fabric was running Cloudera data platform and that, uh, and that's how we team up. Uh, we facilitated the ability to personalize campaign. So what that means is, uh, the segments that were built and that user fell within that segment, we knew exactly what his behavior most likely was. So those recommendations, those offers could be created then, and we enable this in real time. So real-time ability to even go out to the CRM system, again, their further information about that, all of these tools, again, we're running on top of the cloud data platform, uh, what was the outcome? Willie, uh, outcome was that there was a much more precise offer given to the client that is, that was accepted, you know, increase in cross sell and upsell subscriber retention. >>Uh, our clients came back to us and pointed out that, uh, it was 183% year on year revenue increase. Uh, so this is a, this is probably one of the key use cases. Now, one thing to really mention is there are hundreds and hundreds of use cases running on the fabric. And, uh, I would even say thousands. A lot of those have been migrated. So when the fabric is deployed, when they bring the, uh, Cloudera and the legal data solution in there's generally a legacy system that has many use cases. So many of those were, were migrated virtually all of them in pen, on put on the cloud. Uh, another issue is that new use cases are enabled again. So when you get this level of granularity and when you have campaigns that can now base their offers on years of history, as opposed to 30 days of history, the campaigns campaign management response systems, uh, are, are, uh, are enabled quite a bit to do all, uh, to be precise in their offers. Yeah. >>Okay. So this is a technical slide. Uh, one of the things that we normally do when we're, when we're out there talking to folks, is we talk and give an overview and that last little while, and then we give a deep technical dive on all aspects of it. So sometimes that deep dive can go a couple of hours. I'm going to do this slide and a couple of minutes. So if you look at it, you can see over on the left, this is the, uh, the sources of the data. And they go through this tool called flare that runs on the cloud. They're a data platform, uh, that can either be via cues or real-time cues, or it can be via a landing zone, or it can be a data extraction. You can take a look at the data quality that's there. So those are built in one of the things that flare does is it has out of the box ability to ingest data sources and to apply the data quality and validation for telco type sources. >>But one of the reasons this is fast to market is because throughout those 10 or 12 opcos that we've done with Cloudera, where we have already built models, so models for CCN, for air for, for most mediation systems. So there's not going to be a type of, uh, input that we haven't already seen are very rarely. So that actually speeds up deployment very quickly. Then a player does the transformation, the, uh, the metrics, continuous learning, we call it continuous decisioning, uh, API access. Uh, we, uh, you know, for, for faster response, we use distributed cash. I'm not going to go too deeply in there, but the layer and the business semantics layer again, are, are sitting top of the Cloudera data platform. You see the cough, but flu, uh, Q1 on the right as well. >>And all of that, we're calling the fabric. So the fabric is Cloudera data platform and the cloud and flair and all of this runs together. And by the way, there've been many, many, many, many hundreds of hours testing flare with Cloudera and, uh, and the whole process, the results, what are the results? Well, uh, there are, there are four I'm going to talk about, uh, we saw the one for the, it was called my pocket pocket, but it's a CDM type, uh, use case. Uh, the subscribers of that mobile operator were 14 million plus there was a use case for a 24 million plus a year on year revenue was 130%, uh, 32 million plus for 38%. These are, um, these are different CVM pipe, uh, use cases, as well as network use cases. And then there were 44%, uh, telco with 76 million subscribers. So I think that there are a lot more use cases that we could talk about, but, but in this case, this is the ones we're looking at again, 183%. This is something that we find consistently, and these figures come from our, uh, our actual end client. So how do we unlock the full potential of this? Well, I think to start is to arrange a meeting and, uh, it would be great to, to, uh, for you to reach out to me or to Anthony. Uh, we're working in conjunction on this and we can set up a, uh, we can set up a meeting and we can go through this initial meeting. And, uh, I think that's the very beginning. Uh, again, you can get additional information from Cloudera website and from the league of data website, Anthony, that's the story. Thank you. >>Oh, that's great. Jeremy, thank you so much. It's a, it's, it's wonderful to go deep. And I know that there are hundreds of use cases being deployed in MTN, um, but great to go deep on one. And like you said, it can, once you get that sort of architecture in place, you can do so many different things. The power of data is tremendous, but it's great to be able to see how you can, how you can track it end to end from collecting the data, processing it, understanding it, and then applying it in a commercial context and bringing actual revenue back into the business. So there is your ROI straightaway. Now you've got a platform that you can transform your business on. That's, that's, it's a tremendous story, Jimmy, and thank you for your partnership. So, um, that's, uh, that's, that's our story for today, like Jamie says, um, please do fleet, uh, feel free to reach out to us. Um, the, the website addresses are there and our contact details, and we'd be delighted to talk to you a little bit more about some of the other use cases, perhaps, um, and maybe about your own business and, uh, and how we might be able to make it, make it perform a little better.

Published Date : Aug 5 2021

SUMMARY :

So we have some experience in non telco industry, So if you look at that, you can see we're in Holland and, uh, Jamaica, and then a lot to throughout So it handles that as well, but we call that a cut off picture Sanchez. So the longer we have any silos or anything me, of the, uh, of the system of intelligence, you can see that flare is the tool So the data lake stores that level of granularity that of course, the, uh, the ones that are highly optimized and allow, the segment, the profile that's being used and, you know, what are they propensity to buy? Now, one of the key things about the fabric is when you start building segments, you can build that history. So all of that data stored in the data lake can be used in terms of segmentation. So when you get this level of granularity and when you have campaigns that can now base So if you look at it, you can see over on the left, this is the, uh, the sources of the data. Then a player does the transformation, the, uh, the metrics, So the fabric is Cloudera data platform and the that you can transform your business on.

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COMMUNICATIONS V1 | CLOUDERA


 

>>Hi today, I'm going to talk about network analytics and what that means for, for telecommunications as we go forward. Um, thinking about, uh, 5g, what the impact that's likely to have on, on network analytics and the data requirement, not just to run the network and to understand the network a little bit better. Um, but also to, to inform the rest of the operation of the telecommunications business. Um, so as we think about where we are in terms of network analytics and what that is over the last 20 years, the telecommunications industry has evolved its management infrastructure, uh, to abstract away from some of the specific technologies in the network. So what do we mean by that? Well, uh, in the, in the initial, uh, telecommunications networks were designed, there were management systems that were built in, um, eventually fault management systems, uh, assurance systems, provisioning systems, and so on were abstracted away. >>So it didn't matter what network technology had, whether it was a Nokia technology or Erickson technology or Huawei technology or whatever it happened to be. You could just look at your fault management system, understand where false, what happened as we got into the last sort of 10, 15 years or so. Telecommunication service providers become became more sophisticated in terms of their approach to data analytics and specifically network analytics, and started asking questions about why and what if in relation to their network performance and network behavior. And so network analytics as a, as a bit of an independent function was born and over time, more and more data began to get loaded into the network analytics function. So today just about every carrier in the world has a network analytics function that deals with vast quantities of data in big data environments that are now being migrated to the cloud. >>As all telecommunications carriers are migrating as many it workloads as possible, um, to the cloud. So what are the things that are happening as we migrate to the cloud that drive, uh, uh, enhancements in use cases and enhancements and scale, uh, in telecommunications network analytics? Well, 5g is the big thing, right? So 5g, uh, it's not just another G in that sense. I mean, in some cases, in some senses, it is 5g means greater bandwidth, lower latency and all those good things. So, you know, we can watch YouTube videos with less interference and, and less sluggish bandwidth and so on and so forth. But 5g is really about the enterprise and enterprise services. Transformation, 5g is more secure, kind of a network, but 5g is also a more pervasive network 5g, a fundamentally different network topology than previous generations. So there's going to be more masts and that means that you can have more pervasive connectivity. >>Uh, so things like IOT and edge applications, autonomous cars, smart cities, these kinds of things, um, are all much better served because you've got more masks that of course means that you're going to have a lot more data as well. And we'll get to that. The second piece is immersive digital services. So with more masks, with more connectivity, with lower latency with higher man, the potential, uh, is, is, is, is immense for services innovation. And we don't know what those services are going to be. We know that technologies like augmented reality, virtual reality, things like this have great potential. Um, but we, we have yet to see where those commercial applications are going to be, but the innovation and the innovation potential for 5g is phenomenal. Um, it certainly means that we're going to have a lot more, uh, edge devices, um, uh, and that again is going to lead to an increase in the amount of data that we have available. >>And then the idea of pervasive connectivity when it comes to smart, smart cities, uh, autonomous, autonomous currents, um, uh, integrated traffic management systems, um, all of this kind of stuff, those of those kind of smart environments thrive where you've got this kind of pervasive connectivity, this persistent, uh, connection to the network. Um, again, that's going to drive, um, um, uh, more innovation. And again, because you've got these new connected devices, you're going to get even more data. So this rise, this exponential rise in data is really what's driving the change in, in network analytics. And there are four major vectors that are driving this increase in data in terms of both volume and in terms of speed. So the first is more physical elements. So we said already that 5g networks are going to have a different apology. 5g networks will have more devices, more and more masks. >>Um, and so with more physical elements in the network, you're going to get more physical data coming off those physical networks. And so that needs to be aggregated and collected and managed and stored and analyzed and understood when, so that we can, um, have a better understanding as to why things happened the way they do, why the network behaves in which they do in, in, in, in ways that it does and why devices that are connected to the network. And ultimately of course, consumers, whether they be enterprises or retail customers, um, behave in the way they do in relation to their interaction within our edge nodes and devices, we're going to have a, uh, an explosion in terms of the number of devices. We've already seen IOT devices with your different kinds of trackers and, uh, and, and sensors that are hanging off the edge of the network, whether it's to make buildings smarter car smarter, or people smarter, um, in, in terms of having the, the, the measurements and the connectivity and all that sort of stuff. >>So the numbers of devices on the agent beyond the age, um, are going to be phenomenal. One of the things that we've been trying to with as an industry over the last few years is where does the telco network end, and where does the enterprise, or even the consumer network begin. You used to be very clear that, you know, the telco network ended at the router. Um, but now it's not, it's not that clear anymore because in the enterprise space, particularly with virtualized networking, which we're going to talk about in a second, um, you start to see end to end network services being deployed. Um, uh, and so are they being those services in some instances are being managed by the service provider themselves, and in some cases by the enterprise client, um, again, the line between where the telco network ends and where the enterprise or the consumer network begins, uh, is not clear. >>Uh, so, so those edge, the, the, the proliferation of devices at the age, um, uh, in terms of, um, you know, what those devices are, what the data yield is and what the policies are, their need to govern those devices, um, in terms of security and privacy, things like that, um, that's all going to be really, really important virtualized services. We just touched on that briefly. One of the big, big trends that's happening right now is not just the shift of it operations onto the cloud, but the shift of the network onto the cloud, the virtualization of network infrastructure, and that has two major impacts. First of all, it means that you've got the agility and all of the scale, um, uh, benefits that you get from migrating workloads to the cloud, the elasticity and the growth and all that sort of stuff. But arguably more importantly for the telco, it means that with a virtualized network infrastructure, you can offer entire networks to enterprise clients. >>So if you're selling to a government department, for example, is looking to stand up a system for certification of, of, you know, export certification, something like that. Um, you can not just sell them the connectivity, but you can sell them the networking and the infrastructure in order to serve that entire end to end application. You could sentence, you could offer them in theory, an entire end-to-end communications network, um, and with 5g network slicing, they can even have their own little piece of the 5g bandwidth that's been allocated against the carrier, um, uh, and, and have a complete end to end environment. So the kinds of services that can be offered by telcos, um, given virtualize network infrastructure, uh, are, are many and varied. And it's a, it's a, it's a, um, uh, an outstanding opportunity. But what it also means is that the number of network elements virtualized in this case is also exploding. >>That means the amount of data that we're getting on, uh, informing us as to how those network elements are behaving, how they're performing, um, uh, is, is, is going to go up as well. And then finally, AI complexity. So on the demand side, um, while historically, uh, um, network analytics, big data, uh, has been, has been driven by, um, returns in terms of data monetization, uh, whether that's through cost avoidance, um, or service assurance, uh, or even revenue generation through data monetization and things like that. AI is transforming telecommunications and every other industry, the potential for autonomous operations, uh, is extremely attractive. And so understanding how the end-to-end telecommunication service delivering delivery infrastructure works, uh, is essential, uh, as a training ground for AI models that can help to automate a huge amount of telecommunications operating, um, processes. So the AI demand for data is just going through the roof. >>And so all of these things combined to mean big data is getting explosive. It is absolutely going through the roof. So that's a huge thing that's happening. So as telecommunications companies around the world are looking at their network analytics infrastructure, which was initially designed for service insurance primarily, um, and how they migrate that to the cloud. These things are impacting on those decisions because you're not just looking at migrating a workload to operate in the cloud that used to work in the, in the data center. Now you're looking at, um, uh, migrating a workload, but also expanding the use cases in that work and bear in mind, many of those, those are going to need to remain on prem. So they'll need to be within a private cloud or at best a hybrid cloud environment in order to satisfy a regulatory jurisdictional requirements. So let's talk about an example. >>So LGU plus is a Finastra fantastic service provider in Korea. Um, huge growth in that business over the last, uh, over the last 10, 15 years or so. Um, and obviously most people will be familiar with LG, the electronics brand, maybe less so with, uh, with LG plus, but they've been doing phenomenal work. And we're the first, uh, business in the world who launch commercial 5g in 2019. And so a huge milestone that they achieved. And at the same time they deploy the network real-time analytics platform or in rep, uh, from a combination of Cloudera and our partner calmer. Now, um, there were a number of things that were driving, uh, the requirement for it, for the, for the analytics platform at the time. Um, clearly the 5g launch was that was the big thing that they had in mind, but there were other things that re so within the 5g launch, um, uh, they were looking for, for visibility of services, um, and service assurance and service quality. >>So, you know, what services have been launched? How are they being taken up? What are the issues that are arising, where are the faults happening? Um, where are the problems? Because clearly when you launch a new service, but then you want to understand and be on top of the issues as they arise. Um, so that was really, really important. The second piece was, and, you know, this is not a new story to any telco in the world, right. But there are silos in operation. Uh, and so, um, taking advantage of, um, or eliminating redundancies through the process, um, of, of digital transformation, it was really important. And so particular, the two silos between wired and the wireless sides of the business come together so that there would be an integrated network management system, um, for, uh, for LGU plus, as they rolled out 5g. So eliminating redundancy and driving cost savings through the, the integration of the silos is really, really important. >>And that's a process and the people thing every bit, as much as it is a systems and a data thing. So, um, another big driver and the fourth one, you know, we've talked a little bit about some of these things, right? 5g brings huge opportunity for enterprise services, innovation. So industry 4.0 digital experience, these kinds of use cases, um, are very important in the south Korean marketing and in the, um, in the business of LGU plus. And so, uh, um, looking at AI and how can you apply AI to network management? Uh, again, there's a number of use cases, really, really exciting use cases that have gone live now, um, in LG plus since, uh, since we did this initial deployment and they're making fantastic strides there, um, big data analytics for users across LGU plus, right? So it's not just for, um, uh, it's not just for the immediate application of 5g or the support or the 5g network. >>Um, but also for other data analysts and data scientists across the LGU plus business network analytics, while primarily it's primary it's primary use case is around network management, um, LGU plus, or, or network analytics, um, has applications across the entire business, right? So, um, you know, for customer churn or next best offer for understanding customer experience and customer behavior really important there for digital advertising, for product innovation, all sorts of different use cases and departments within the business needed access to this information. So collaboration sharing across the network, the real-time network analytics platform, um, it was very important. And then finally, as I mentioned, LG group is much bigger than just LG plus it's because the electronics and other pieces, and they had launched a major group wide digital transformation program in 2019, and still being a part of that was, well, some of them, the problems that they were looking to address. >>Um, so first of all, the integration of wired and wireless data service data sources, and so getting your assurance data sources, your network, data sources, uh, and so on integrated with is really, really important scale was massive for them. Um, you know, they're talking about billions of transactions in under a minute, uh, being processed, um, and hundreds of terabytes per day. So, uh, you know, phenomenal scale, uh, that needed to be available out of the box as it were, um, real time indicators and alarms. And there was lots of KPIs and thresholds set that, you know, w to make, make it to meet certain criteria, certain standards, um, customer specific, real time analysis of 5g, particularly for the launch root cause analysis, an AI based prediction on service, uh, anomalies and service service issues was, was, was a core use case. Um, as I talked about already the provision of service of data services across the organization, and then support for 5g, uh, served the business service, uh, impact, uh, was extremely important. >>So it's not just understand well, you know, that you have an outage in a particular network element, but what is the impact on the business of LGU plus, but also what is the impact on the business of the customer, uh, from an outage or an anomaly or a problem on, on, on the network. So being able to answer those kinds of questions really, really important, too. And as I said, between Cloudera and Kamarck, uh, uh, and LGU plus, uh, really themselves an intrinsic part of the solution, um, uh, this is, this is what we, we ended up building. So a big complicated architecture space. I really don't want to go into too much detail here. Um, uh, you can see these things for yourself, but let me skip through it really quickly. So, first of all, the key data sources, um, you have all of your wireless network information, other data sources. >>This is really important because sometimes you kind of skip over this. There are other systems that are in place like the enterprise data warehouse that needed to be integrated as well, southbound and northbound interfaces. So we get our data from the network and so on, um, and network management applications through file interfaces. CAFCA no fire important technologies. And also the RDBMS systems that, uh, you know, like the enterprise data warehouse that we're able to feed that into the system. And then northbound, um, you know, we spoke already about me making network analytics services available across the enterprise. Um, so, uh, you know, uh, having both the file and the API interface available, um, for other systems and other consumers across the enterprise is very important. Um, lots of stuff going on then in the platform itself to petabytes and persistent storage, um, Cloudera HDFS, 300 nodes for the, the raw data storage, um, uh, and then, uh, could do for real time storage for real-time indicator analysis, alarm generation, um, uh, and other real time, um, processes. >>Uh, so there, that was the, the core of the solution, uh, spark processes for ETL key quality indicators and alarming, um, and also a bunch of work done around, um, data preparation, data generation for transferal to, to third party systems, um, through the northbound interfaces, um, uh, Impala, API queries, um, for real-time systems, uh, there on the right hand side, and then, um, a whole bunch of clustering classification, prediction jobs, um, through the, uh, the, the, the, the ML processes, the machine learning processes, uh, again, another key use case, and we've done a bunch of work on that. And, um, I encourage you to have a look at the Cloudera website for more detail on some of the work that we did here. Um, so this is some pretty cool stuff. Um, and then finally, just the upstream services, some of these there's lots more than, than, than simply these ones, but service assurance is really, really important. So SQM cm and SED grade. So the service quality management customer experience, autonomous controllers, uh, really, really important consumers of, of the, of the real-time analytics platform, uh, and your conventional service assurance, um, functions like faulted performance management. Uh, these things are as much consumers of the information and the network analytics platform as they are providers of data to the network, uh, analytics >>Platform. >>Um, so some of the specific use cases, uh, that, uh, have been, have been stood up and that are delivering value to this day and lots of more episodes, but these are just three that we pulled out. Um, so first of all, um, uh, sort of specific monitoring and customer quality analysis, Karen response. So again, growing from the initial 5g launch and then broadening into broader services, um, understanding where there are the, where there are issues so that when people complaining, when people have an issue, um, that, um, uh, that we can answer the, the concerns of the client, um, in a substantive way, um, uh, AI functions around root cause analysis or understanding why things went wrong when they went wrong. Um, uh, and also making recommendations as to how to avoid those occurrences in the future. Uh, so we know what preventative measures can be taken. Um, and then finally the, uh, the collaboration function across LGU plus extremely important and continues to be important to this day where data is shared throughout the enterprise, through the API Lira through file interfaces and other things, and through interface integrations with, uh, with upstream systems. >>So, um, that's kind of the, the, uh, real quick run through of LGU plus the numbers are just stave staggering. Um, you know, we've seen, uh, upwards of a billion transactions in under 40 seconds being, um, uh, being tested. Um, and, and we've gone beyond those thresholds now, already, um, and we're started and, and, and, and this isn't just a theoretical sort of a benchmarking test or something like that. We're seeing these kinds of volumes of data and not too far down the track. So, um, with those things that I mentioned earlier with the proliferation of, of, um, of network infrastructure, uh, in the 5g context with virtualized elements, with all of these other bits and pieces are driving massive volumes of data towards the, uh, the, the, the network analytics platform. So phenomenal scale. Um, this is just one example we work with, with service providers all over the world is over 80% of the top 100 telecommunication service providers run on Cloudera. >>They use Cloudera in the network, and we're seeing those customers, all migrating legacy cloud platforms now onto CDP onto the Cloudera data platform. Um, they're increasing the, the, the jobs that they do. So it's not just warehousing, not just ingestion ETL, and moving into things like machine learning. Um, and also looking at new data sources from places like NWTF the network data analytics function in 5g, or the management and orchestration layer in, in software defined networks, network, function, virtualization. So, you know, new use cases coming in all the time, new data sources coming in all the time growth in, in, in, in the application scope from, as we say, from edge to AI. Um, and so it's, it's really exciting to see how the, the, the, the footprint is growing and how, uh, the applications in telecommunications are really making a difference in, in facilitating, um, network transformation. And that's covering that. That's me covered for today. I hope you found that helpful, um, by all means, please reach out, uh, there's a couple of links here. You can follow me on Twitter. You can connect to the telecommunications page, reach out to me directly at Cloudera. I'd love to answer your questions, um, uh, and, uh, and talk to you about how big data is transforming networks, uh, and how network transformation is, is accelerating telcos, uh, throughout >>Jamie Sharath with Liga data, I'm primarily on the delivery side of the house, but I also support our new business teams. I'd like to spend a minute really just kind of telling you about the legal data, where basically a Silicon valley startup, uh, started in 2014, and, uh, our lead iron, our executive team, basically where the data officers at Yahoo before this, uh, we provide managed data services, and we provide products that are focused on telcos. So we have some experience in non telco industry, but our focus for the last seven years or so is specifically on telco. So again, something over 200 employees, we have a global presence in north America, middle east Africa, Asia, and Europe. And we have folks in all of those places, uh, I'd like to call your attention to the, uh, the middle really of the screen there. So here is where we have done some partnership with Cloudera. >>So if you look at that and you can see we're in Holland and Jamaica, and then a lot to throughout Africa as well. Now, the data fabric is the product that we're talking about. And the data fabric is basically a big data type of data warehouse with a lot of additional functionality involved. The data fabric is comprised of, uh, some something called a flare, which we'll talk about in a minute below there, and then the Cloudera data platform underneath. So this is how we're partnering together. We, uh, we, we have this tool and it's, uh, it's functioning and delivering in something over 10 up. So flare now, flare is a piece of that legal data IP. The rest is there. And what flare does is that basically pulls in data, integrates it to an event streaming platform. It's, uh, it is the engine behind the data fabric. >>Uh, it's also a decisioning platform. So in real time, we're able to pull in data. We're able to run analytics on it, and we're able to alert are, do whatever is needed in a real-time basis. Of course, a lot of clients at this point are still sending data in batch. So it handles that as well, but we call that a CA picture Sanchez. Now Sacho is a very interesting app. It's an AI analytics app for executives. What it is is it runs on your mobile phone. It ties into your data. Now this could be the data fabric, but it couldn't be a standalone product. And basically it allows you to ask, you know, human type questions to say, how are my gross ads last week? How are they comparing against same time last week before that? And even the same time 60 days ago. So as an executive or as an analyst, I can pull it up and I can look at it instantly in a meeting or anywhere else without having to think about queries or anything like that. >>So that's pretty much for us at legal data, not really to set the context of where we are. So this is a traditional telco environments. So you see the systems of record, you see the cloud, you see OSS and BSS data. So one of the things that the next step above which calls we call the system of intelligence of the data fabric does, is it mergers that BSS and OSS data. So the longer we have any silos or anything that's separated, it's all coming into one area to allow business, to go in or allow data scientists go in and do that. So if you look at the bottom line, excuse me, of the, uh, of the system of intelligence, you can see that flare is the tools that pulls in the data. So it provides even streaming capabilities. It preserves entity states, so that you can go back and look at it state at any time. >>It does stream analytics that is as the data is coming in, it can perform analytics on it. And it also allows real-time decisioning. So that's something that, uh, that's something that business users can go in and create a system of, uh, if them's, it looks very much like the graph database, where you can create a product that will allow the user to be notified if a certain condition happens. So for instance, a bundle, so a real-time offer or user is succinct to run out of is ongoing, and an offer can be sent to him right on the fly. And that's set up by the business user as opposed to programmers, uh, data infrastructure. So the fabric has really three areas. That data is persistent, obviously there's the data lake. So the data lake stores that level of granularity that is very deep years and years of history, data, scientists like that, uh, and, uh, you know, for a historical record keeping and requirements from the government, that data would be stored there. >>Then there's also something we call the business semantics layer and the business semantics layer contains something over 650 specific telco KPIs. These are initially from PM forum, but they also are included in, uh, various, uh, uh, mobile operators that we've delivered at. And we've, we've grown that. So that's there for business data lake is there for data scientists, analytical stores, uh, they can be used for many different reasons. There are a lot of times RDBMS is, are still there. So these, this, this basically platform, this cloud they're a platform can tie into analytical data stores as well via flair access and reporting. So graphic visualizations, API APIs are a very key part of it. A third-party query tools, any kind of grid tools can be used. And those are the, of course, the, uh, the ones that are highly optimized and allow, you know, search of billions of records. >>And then if you look at the top, it's the systems of engagement, then you might vote this use cases. So teleco reporting, hundreds of KPIs that are, that are generated for users, segmentation, basically micro to macro segmentation, segmentation will play a key role in a use case. We talked about in a minute monetization. So this helps teleco providers monetize their specific data, but monetize it in. Okay, how to, how do they make money off of it, but also how might you leverage this data to engage with another client? So for instance, in some where it's allowed a DPI is used, and the fabric tracks exactly where each person goes each, uh, we call it a subscriber, goes within his, uh, um, uh, internet browsing on the, on the four or 5g. And, uh, the, all that data is stored. Uh, whereas you can tell a lot of things where the segment, the profile that's being used and, you know, what are they propensity to buy? Do they spend a lot of time on the Coca-Cola page? There are buyers out there that find that information very valuable, and then there's signs of, and we spoke briefly about Sanchez before that sits on top of the fabric or it's it's alone. >>So, so the story really that we want to tell is, is one, this is, this is one case out of it. This is a CVM type of case. So there was a mobile operator out there that was really offering, you know, packages, whether it's a bundle or whether it's a particular tool to subscribers, they, they were offering kind of an abroad approach that it was not very focused. It was not depending on the segments that were created around the profiling earlier, uh, the subscriber usage was somewhat dated and this was causing a lot of those. A lot of those offers to be just basically not taken and, and not, not, uh, audited. Uh, there was limited segmentation capabilities really before the, uh, before the, uh, fabric came in. Now, one of the key things about the fabric is when you start building segments, you can build that history. >>So all of that data stored in the data lake can be used in terms of segmentation. So what did we do about that? The, the, the envy and, oh, the challenge this, uh, we basically put the data fabric in and the data fabric was running Cloudera data platform and that, uh, and that's how we team up. Uh, we facilitated the ability to personalize campaign. So what that means is, uh, the segments that were built and that user fell within that segment, we knew exactly what his behavior most likely was. So those recommendations, those offers could be created then, and we enable this in real time. So real-time ability to even go out to the CRM system and gather further information about that. All of these tools, again, we're running on top of the Cloudera data platform, uh, what was the outcome? Willie, uh, outcome was that there was a much more precise offer given to the client that is, that was accepted, no increase in cross sell and upsell subscriber retention. >>Uh, our clients came back to us and pointed out that, uh, it was 183% year on year revenue increase. Uh, so this is a, this is probably one of the key use cases. Now, one thing to really mention is there are hundreds and hundreds of use cases running on the fabric. And I would even say thousands. A lot of those have been migrated. So when the fabric is deployed, when they bring the Cloudera and the legal data solution in there's generally a legacy system that has many use cases. So many of those were, were migrated virtually all of them in pen, on put on the cloud. Uh, another issue is that new use cases are enabled again. So when you get this level of granularity and when you have campaigns that can now base their offers on years of history, as opposed to 30 days of history, the campaigns campaign management response systems, uh, are, are, uh, are enabled quite a bit to do all, uh, to be precise in their offers. Okay. >>Okay. So this is a technical slide. Uh, one of the things that we normally do when we're, when we're out there talking to folks, is we talk and give an overview and that last little while, and then we give a deep technical dive on all aspects of it. So sometimes that deep dive can go a couple of hours. I'm going to do this slide and a couple of minutes. So if you look at it, you can see over on the left, this is the, uh, the sources of the data. And they go through this tool called flare that runs on the cloud. They're a data platform, uh, that can either be via cues or real-time cues, or it can be via a landing zone, or it can be a data extraction. You can take a look at the data quality that's there. So those are built in one of the things that flare does is it has out of the box ability to ingest data sources and to apply the data quality and validation for telco type sources. >>But one of the reasons this is fast to market is because throughout those 10 or 12, uh, opcos that we've done with Cloudera, where we have already built models, so models for CCN, for air for, for most mediation systems. So there's not going to be a type of, uh, input that we haven't already seen are very rarely. So that actually speeds up deployment very quickly. Then a player does the transformations, the, uh, the metrics, continuous learning, we call it continuous decisioning, uh, API access. Uh, we, uh, you know, for, for faster response, we use distributed cash. I'm not going to go too deeply in there, but the layer in the business semantics layer again, are, are sitting on top of the Cloudera data platform. You see the Kafka CLU, uh, Q1, the right as well. >>And all of that, we're calling the fabric. So the fabric is Cloudera data platform and the cloud and flair and all of this runs together. And, and by the way, there've been many, many, many, many hundreds of hours testing flare with Cloudera and, uh, and the whole process, the results, what are the results? Well, uh, there are, there are four I'm going to talk about, uh, we saw the one for the, it was called my pocket pocket, but it's a CDM type, a use case. Uh, the subscribers of that mobile operator were 14 million plus there was a use case for 24 million plus that a year on year revenue was 130%, uh, 32 million plus for 38%. These are, um, these are different CVM pipe, uh, use cases, as well as network use cases. And then there were 44%, uh, telco with 76 million subscribers. So I think that there are a lot more use cases that we could talk about, but, but in this case, this is the ones we're looking at, uh, again, 183%. This is something that we find consistently. And these figures come from our, uh, our actual end client. How do we unlock the full potential of this? Well, I think to start is to arrange a meeting and, uh, it would be great to, to, uh, for you to reach out to me or to Anthony. Uh, we're working at the junction on this, and we can set up a, uh, we can set up a meeting and we can go through this initial meeting. And, uh, I think that's the very beginning. Uh, again, you can get additional information from Cloudera website and from the league of data website, Anthony, that's the story. Thank you. >>No, that's great. Jeremy, thank you so much. It's a, it's, it's wonderful to go deep. And I know that there are hundreds of use cases being deployed in MTN, um, but great to go deep on one. And like you said, it can, once you get that sort of architecture in place, you can do so many different things. The power of data is tremendous, but it's great to be able to see how you can, how you can track it end to end from collecting the data, processing it, understanding it, and then applying it in a commercial context and bringing actual revenue back into the business. So there is your ROI straight away. Now you've got a platform that you can transform your business on. That's, that's, it's a tremendous story, Jamie, and thank you for your part. Sure. Um, that's a, that's, that's our story for today. Like Jamie says, um, please do flee, uh, feel free to reach out to us. Um, the, the website addresses are there and our contact details, and we'd be delighted to talk to you a little bit more about some of the other use cases, perhaps, um, and maybe about your own business and, uh, and how we might be able to make it, make it perform a little better. So thank you.

Published Date : Aug 4 2021

SUMMARY :

Um, thinking about, uh, So it didn't matter what network technology had, whether it was a Nokia technology or Erickson technology the cloud that drive, uh, uh, enhancements in use cases uh, and that again is going to lead to an increase in the amount of data that we have available. So the first is more physical elements. And so that needs to be aggregated and collected and managed and stored So the numbers of devices on the agent beyond the age, um, are going to be phenomenal. the agility and all of the scale, um, uh, benefits that you get from migrating So the kinds of services So on the demand side, um, So they'll need to be within a private cloud or at best a hybrid cloud environment in order to satisfy huge growth in that business over the last, uh, over the last 10, 15 years or so. And so particular, the two silos between And so, uh, um, the real-time network analytics platform, um, it was very important. Um, so first of all, the integration of wired and wireless data service data sources, So, first of all, the key data sources, um, you have all of your wireless network information, And also the RDBMS systems that, uh, you know, like the enterprise data warehouse that we're able to feed of the information and the network analytics platform as they are providers of data to the network, Um, so some of the specific use cases, uh, Um, you know, we've seen, Um, and also looking at new data sources from places like NWTF the network data analytics So here is where we have done some partnership with So if you look at that and you can see we're in Holland and Jamaica, and then a lot to throughout And even the same time So the longer we have any silos data, scientists like that, uh, and, uh, you know, for a historical record keeping and requirements of course, the, uh, the ones that are highly optimized and allow, the segment, the profile that's being used and, you know, what are they propensity to buy? Now, one of the key things about the fabric is when you start building segments, So all of that data stored in the data lake can be used in terms of segmentation. So when you get this level of granularity and when you have campaigns that can now base their offers So if you look at it, you can see over on the left, this is the, uh, the sources of the data. So there's not going to be a type of, uh, input that we haven't already seen are very rarely. So the fabric is Cloudera data platform and the cloud uh, and how we might be able to make it, make it perform a little better.

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Elhadji Cisse, IBM | IBM Think 2021


 

>> From around the globe, it's the Cube! With digital coverage of IBM Think 2021, brought to you by IBM. >> Well, welcome back to the Cube and our IBM Think initiative and today a fascinating subject with a dramatic shift that's going on in the Middle East and specifically in the kingdom of Saudi Arabia. There is a significant partnership that has just recently been launched called SARIE, which is the Saudi Arabian real interbank express. And it basically is a, a dramatic move to make the kingdom cashless - and IBM is very much at the center of that. With me to talk about that role is Elhadji Cisse who at IBM is the MEA head of payments which of course is middle East and Africa. Elhadji, good to have you with us all the way from Dubai. Good to see you today. >> The pleasure's all mine. >> Good. Well, thank you for joining us. And let's, let's talk about this initiative. First off, the problem or at least the challenge that IBM and its partners are trying to solve and now how you're going about it. So let's just paint that 30,000 foot level, if you will, then we'll dive in a little deeper. >> All right. So if you look at the countries, the kingdom of Saudi Arabia, and in much of the region, Middle East and Africa, we have very cash driven society. And this provides lots of challenges in terms of government point of view, businesses' point of view. And even the consumer point of view. The cash transaction is becoming less and less traceable. You are less likely to see where the cash is going, where the cash is coming from. Maintaining the cash also is becoming more and more expensive in terms of security, in terms of recycling the cash, holding the cash, transacting the cash, all of that has to be taken into consideration. And the kingdom of Saudi Arabia, with the help of the crown Prince Mohammad bin Salman, has a visionary vision 2030 to be put in place that will enable them to revolutionize the entire financial sector. There's a segment within that called the FSDB, the financial sector development program. And that program, within that program, they have a goal to develop a digital platform that will enhance and enable the society to go to a more cashless society and also help define a full end to end digital environment for the, for the kingdom. >> So when you think about the scale of this, I mean it's almost mindblowing in a way, because in many cases we've been talking about with various of your colleagues at IBM, different initiatives that involve an organization or involve maybe a more regional partnership or something like that. This is national, right? This is every banking institution in the kingdom of Saudi Arabia. Businesses, government entities. I mean, if you would, share with me some of the complexity of this in terms of a project of that scale and, and trying to bring together these disparate systems that all have a different kind of legacy overhang, if you will, right. And now you're trying to modernize everybody moving towards the same goal in 2030, I think it's mind blowing. >> Yeah, it is. It is, John. And if you look at the complexity, if I may speak a little bit about how complex it is, let's start with the team. The team has been a full diverse team. We have 10 different nationalities. We have team from America, Canada, Egypt, Saudi Arabia, UAE, China, UK, Pakistan, India. I mean, you name it. We have the whole globe pretty much. Every single region, Australia also was there. We had the team of that magnitude. In addition to that, as you rightfully stated, we're not building a system for a particular company or particular industry. It is for the entire country, all the banks of Saudi Arabia: the 11 national banks and the 12 additional international banks that are there. The global corporates, such as the Telco corporation, the oil corporation that are there. All of them needs to be onboarded into this including the 17 million or 20 some million population that are there. Now, the keys to this that we have is that our partners, MasterCard and Saudi payments, we have mandated ourself not to divide ourselves into three teams. We have to go with this as one single team. This was the motto of the project. This is what made us successful. We didn't differentiate between IBM, MasterCard, or Saudi payment. We all went together and addressed every single challenge as a team with the three different layers. And that's what helped us become successful with this engagement. >> So let's look at the initiatives specifically then in terms of the technology that's driving this. We talk a lot about the digital transformation that's occurring in the world. And again, it's kind of a catch all phrase, but this truly is a almost a magical transformation that you're going through. So how did you address the various workloads, what's going to be done where and how, and by whom. And then this integration that has to go on with that, not only are you centralizing a lot of these functions but you also have to distribute them to institutions across the kingdom. So if you would share a little bit of insight on that. >> Yeah. So if you look, if you look at the architecture that we have put in place, it's really a very agile and flexible architecture in a way that we have put in a central entity, which is the payment hub that is, that will handle all the payments solution that is there. And we put the flexibility for all the consumers because we have different banks. If you look at the banks industry, we have banks that are very mature, banks that have a medium level of maturity, and some that are absolutely not mature at all. And with this solution that we have to get involved, we have to be Azure 222 enabled, which is the new language that we will be using. Now, the infrastructure that we put in place have enabled that flexibility, otherwise we will never going to be successful. You cannot come to a country and say everybody needs to be onboarded into this language. Everybody needs to be operating this way. No, that will never going to work. We have taken that into consideration from the beginning. We knew this would be a challenge and we put different tools within IBM that we have put in place in order to go to mitigate those, such as the WTX, which is the Webster transformation exchanger that enables us to transform messages from and to Azure 222 or to Azure 222 or to any type of format that the customer have, any of the customer would be the banks. So we encapsulate that. Another challenge that we have is on the on boarding aspect. A lot of banks, again depending on their maturity level, we have to be ready with different environment for them to be, to catch up with us. Not everybody will be able to onboard on the same time. So by leveraging our RTVS solution, the rational testable service virtualization, it enables us to mitigate, to virtualize an entire ecosystem, make it look like it is a physical environment for the banks to use as a test as opposed to in the normal circumstances, purchasing additional hardware additional software, additional components and doing that, we're just virtualizing it for those who are ready for a system testing, those who are ready for a performance test, those who're ready for any type of non-functional requirements testing aspect. So these tools and this mechanism have helped us with our complex system integration methodology to mitigate this complexity and make it easy for the ecosystem to be onboarded and make us successful in this deal. >> And you raised a really interesting point in terms of the maturity of different levels of technology within the banking institutions there. You've got, you know, I'm sure, as you pointed out, some very small enterprises, right? Very small towns, very small institutions whose systems might not be as sophisticated or as mature, basically. So ultimately, how do you tie all that in together so that there might be a very large institution that has a very robust set of infrastructure and processes in place. And then you've got it communicating with a very small institution. You've got to be a great translator, right? I mean, IBM does here. Because you don't have them sometimes basically talking the same language, literally in this case. >> Yes, absolutely. And this is really our forte. We are the system integrators of choice in this region. And this goes without saying, because of our platform and our processes and our people that we put together. If you look at this, this example again, on the integration layer, we've enabled two lines of communication, two channels for the community. They could either go for API if they are very mature or they could go to MQ which is a low level of, I won't say a low level, but a very old fashioned way of communicating. On that aspect, they not only they have two protocols to get to us, they can use any message format that they want as long as we agree and we have an end check on the language that they're going to be using. And this integration layer or the system of integration that we have built that enables us to add that flexibility on both entities. >> So this was just launched. I mean literally just launched. What's your timeline in order to have full or I guess, reasonable implementation. >> That's a great question. Actually, the average is 24 to 30 months. We have broken the world record. We have implemented this magnificent solution within 18 months. It's actually a 17 month and a half of implementation. With the scope that we have, that is onboarding all the banks, having deferred net settlement, having the Azure 222, billing solution on it. We had the, we had the billing we had the dispute management, we had the single proxies. We have the debit cap and limit management and the portal solution. So we have all of these component within 17 and a half month. This breaks the world record of implementing an instant payment solution globally. >> We'll call Guinness and get you in the book then. It is a remarkable achievement. It really is. And you know, and you've talked about some of the the values here in terms of reduced transaction costs. Greater stability, greater security, greater transactional relationships, I imagine market liquidity, right? In your thought, I mean, tie all that together for our viewers in terms of impact and what you think this kind of partnership is going to create in terms of changing the way basically financial services are delivered in the kingdom. >> So it will change a lot. And the impact in the economy, like I said this is going to be on a three-fold. One, from a consumer point of view, you'll be able to save time in making your transactions. You will be able to trace your transactions and be able to have enough data to understand how you're managing your budget in your annual transaction. From a business point of view, you will be able to save yourself from theft. I mean, again, having cash in your business, it will tend to having more people coming in and stealing them from you either your employees or your customers or anybody else. But having a cashless business nobody can literally steal your money. They can only steal your phone or steal your gadget that you have for that aspect. Managing and maintaining cash also is a big problem. Now from a government point of view, this is where it gets very interesting, especially for Saudi Arabia, the taxation of the employees or the payment of it, the trustability of all of that and being able to trace it and being able to say, okay how much tax you will need to pay by end of the year without you doing the calculation. That information was already provided to the government. And as a central bank, the printing of cash, maintaining cash, storing cash, securing cash all of those costs will be going away. This is why the country wanted to go into a cashless society. >> Well, it's a fascinating endeavor. And certainly congratulations on that front. We're talking about real time payments and really making a significant difference in in how services are delivered in the kingdom and Elhadji, I certainly have appreciated your time here today and talking about it and and wish you all the best down the road. Thank you very much. >> Thank you very much, John. I appreciate it. >> All right. So we're talking about the journey to a cashless society in the kingdom of Saudi Arabia and what Elhadji is doing and what IBM is doing to make that happen. I'm John Wallace and thanks for joining us here on the Cube!

Published Date : May 12 2021

SUMMARY :

brought to you by IBM. and specifically in the least the challenge that IBM and enable the society to go to of the complexity of this Now, the keys to this that we have that has to go on with that, for the ecosystem to be onboarded in terms of the maturity We are the system integrators to have full or I guess, Actually, the average is 24 to 30 months. of changing the way by end of the year without in the kingdom and Elhadji, Thank you very much, John. in the kingdom of Saudi

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Elhadji Cisse - ibm think


 

(gentle music) >> From around the globe, it's the Cube! With digital coverage of IBM Think 2021, brought to you by IBM. >> Well, welcome back to the Cube and our IBM Think initiative and today a fascinating subject with a dramatic shift that's going on in the Middle East and specifically in the kingdom of Saudi Arabia. There is a significant partnership that has just recently been launched called SARIE, which is the Saudi Arabian real interbank express. And it basically is a, a dramatic move to make the kingdom cashless - and IBM is very much at the center of that. With me to talk about that role is Elhadji Cisse who at IBM is the MEA head of payments which of course is middle East and Africa. Elhadji, good to have you with us all the way from Dubai. Good to see you today. >> The pleasure's all mine. >> Good. Well, thank you for joining us. And let's, let's talk about this initiative. First off, the problem or at least the challenge that IBM and its partners are trying to solve and now how you're going about it. So let's just paint that 30,000 foot level, if you will, then we'll dive in a little deeper. >> All right. So if you look at the countries in the kingdom of Saudi Arabia, and in much of the region, Middle East and Africa, we have very cash driven society. And this provides lots of challenges in terms of government point of view, businesses' point of view. And even the consumer point of view. The cash transaction is becoming less and less traceable. You are less likely to see where the cash is going, where the cash is coming from. Maintaining the cash also is becoming more and more expensive in terms of security, in terms of recycling the cash, holding the cash, transacting the cash, all of that has to be taken into consideration. And the kingdom of Saudi Arabia, with the help of the crown Prince Mohammad bin Salman, has a visionary vision 2030 to be put in place that will enable them to revolutionize the entire financial sector. There's a segment within that called the FSDB, the financial sector development program. And that program, within that program, they have a goal to develop a digital platform that will enhance and enable the society to go to a more cashless society and also help define a full end to end digital environment for the, for the kingdom. >> So when you think about the scale of this, I mean it's almost mindblowing in a way, because in many cases we've been talking about with various of your colleagues at IBM, different initiatives that involve an organization or involve maybe a more regional partnership or something like that. This is national, right? This is every banking institution in the kingdom of Saudi Arabia. Businesses, government entities. I mean, if you would, share with me some of the complexity of this in terms of a project of that scale and, and trying to bring together these disparate systems that all have a different kind of legacy overhang, if you will, right. And now you're trying to modernize everybody moving towards the same goal in 2030, I think it's mind blowing. >> Yeah, it is. It is, John. And if you look at the complexity, if I may speak a little bit about how complex it is, let's start with the team. The team has been a full diverse team. We have 10 different nationalities. We have team from America, Canada, Egypt, Saudi Arabia, UAE, China, UK, Pakistan, India. I mean, you name it. We have the whole globe pretty much. Every single region, Australia also was there. We had the team of that magnitude. In addition to that, as you rightfully stated, we're not building a system for a particular company or particular industry. It is for the entire country, all the banks of Saudi Arabia: the 11 national banks and the 12 additional international banks that are there. The global corporates, such as the Telco corporation, the oil corporation that are there. All of them needs to be onboarded into this including the 17 million or 20 some million population that are there. Now, the keys to this that we have is that our partners, MasterCard and Saudi payments, we have mandated ourself not to divide ourselves into three teams. We have to go with this as one single team. This was the motto of the project. This is what made us successful. We didn't differentiate between IBM, MasterCard, or Saudi payment. We all went together and addressed every single challenge as a team with the three different layers. And that's what helped us become successful with this engagement. >> So let's look at the initiatives specifically then in terms of the technology that's driving this. We talk a lot about the digital transformation that's occurring in the world. And again, it's kind of a catch all phrase, but this truly is a almost a magical transformation that you're going through. So how did you address the various workloads, what's going to be done where and how, and by whom. And then this integration that has to go on with that, not only are you centralizing a lot of these functions but you also have to distribute them to institutions across the kingdom. So if you would share a little bit of insight on that. >> Yeah. So if you look, if you look at the architecture that we have put in place, it's really a very agile and flexible architecture in a way that we have put in a central entity, which is the payment hub that is, that will handle all the payments solution that is there. And we put the flexibility for all the consumers because we have different banks. If you look at the banks industry, we have banks that are very mature, banks that have a medium level of maturity, and some that are absolutely not mature at all. And with this solution that we have to get involved, we have to be Azure 222 enabled, which is the new language that we will be using. Now, the infrastructure that we put in place have enabled that flexibility, otherwise we will never going to be successful. You cannot come to a country and say everybody needs to be onboarded into this language. Everybody needs to be operating this way. No, that will never going to work. We have taken that into consideration from the beginning. We knew this would be a challenge and we put different tools within IBM that we have put in place in order to go to mitigate those, such as the WTX, which is the Webster transformation exchanger that enables us to transform messages from and to Azure 222 or to Azure 222 or to any type of format that the customer have, any of the customer would be the banks. So we encapsulate that. Another challenge that we have is on the on boarding aspect. A lot of banks, again depending on their maturity level, we have to be ready with different environment for them to be, to catch up with us. Not everybody will be able to onboard on the same time. So by leveraging our RTVS solution, the rational testable service virtualization, it enables us to mitigate, to virtualize an entire ecosystem, make it look like it is a physical environment for the banks to use as a test as opposed to in the normal circumstances, purchasing additional hardware additional software, additional components and doing that, we're just virtualizing it for those who are ready for a system testing, those who are ready for a performance test, those who're ready for any type of non-functional requirements testing aspect. So these tools and this mechanism have helped us with our complex system integration methodology to mitigate this complexity and make it easy for the ecosystem to be onboarded and make us successful in this deal. >> And you raised a really interesting point in terms of the maturity of different levels of technology within the banking institutions there. You've got, you know, I'm sure, as you pointed out, some very small enterprises, right? Very small towns, very small institutions whose systems might not be as sophisticated or as mature, basically. So ultimately, how do you tie all that in together so that there might be a very large institution that has a very robust set of infrastructure and processes in place. And then you've got it communicating with a very small institution. You've got to be a great translator, right? I mean, IBM does here. Because you don't have them sometimes basically talking the same language, literally in this case. >> Yes, absolutely. And this is really our forte. We are the system integrators of choice in this region. And this goes without saying, because of our platform and our processes and our people that we put together. If you look at this, this example again, on the integration layer, we've enabled two lines of communication, two channels for the community. They could either go for API if they are very mature or they could go to MQ which is a low level of, I won't say a low level, but a very old fashioned way of communicating. On that aspect, they not only they have two protocols to get to us, they can use any message format that they want as long as we agree and we have an end check on the language that they're going to be using. And this integration layer or the system of integration that we have built that enables us to add that flexibility on both entities. >> So this was just launched. I mean literally just launched. What's your timeline in order to have full or I guess, reasonable implementation. >> That's a great question. Actually, the average is 24 to 30 months. We have broken the world record. We have implemented this magnificent solution within 18 months. It's actually a 17 month and a half of implementation. With the scope that we have, that is onboarding all the banks, having deferred net settlement, having the Azure 222, billing solution on it. We had the, we had the billing we had the dispute management, we had the single proxies. We have the debit cap and limit management and the portal solution. So we have all of these component within 17 and a half month. This breaks the world record of implementing an instant payment solution globally. >> We'll call Guinness and get you in the book then. It is a remarkable achievement. It really is. And you know, and you've talked about some of the the values here in terms of reduced transaction costs. Greater stability, greater security, greater transactional relationships, I imagine market liquidity, right? In your thought, I mean, tie all that together for our viewers in terms of impact and what you think this kind of partnership is going to create in terms of changing the way basically financial services are delivered in the kingdom. >> So it will change a lot. And the impact in the economy, like I said this is going to be on a three-fold. One, from a consumer point of view, you'll be able to save time in making your transactions. You will be able to trace your transactions and be able to have enough data to understand how you're managing your budget in your annual transaction. From a business point of view, you will be able to save yourself from theft. I mean, again, having cash in your business, it will tend to having more people coming in and stealing them from you either your employees or your customers or anybody else. But having a cashless business nobody can literally steal your money. They can only steal your phone or steal your gadget that you have for that aspect. Managing and maintaining cash also is a big problem. Now from a government point of view, this is where it gets very interesting, especially for Saudi Arabia, the taxation of the employees or the payment of it, the trustability of all of that and being able to trace it and being able to say, okay how much tax you will need to pay by end of the year without you doing the calculation. That information was already provided to the government. And as a central bank, the printing of cash, maintaining cash, storing cash, securing cash all of those costs will be going away. This is why the country wanted to go into a cashless society. >> Well, it's a fascinating endeavor. And certainly congratulations on that front. We're talking about real time payments and really making a significant difference in in how services are delivered in the kingdom and Elhadji, I certainly have appreciated your time here today and talking about it and and wish you all the best down the road. Thank you very much. >> Thank you very much, John. I appreciate it. >> All right. So we're talking about the journey to a cashless society in the kingdom of Saudi Arabia and what Elhadji is doing and what IBM is doing to make that happen. I'm John Wallace and thanks for joining us here on the Cube!

Published Date : Apr 22 2021

SUMMARY :

brought to you by IBM. and specifically in the least the challenge that IBM and enable the society to go to of the complexity of this Now, the keys to this that we have that has to go on with that, for the ecosystem to be onboarded in terms of the maturity We are the system integrators to have full or I guess, Actually, the average is 24 to 30 months. of changing the way by end of the year without in the kingdom and Elhadji, Thank you very much, John. in the kingdom of Saudi

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Ericsson’s Mobile Financial Services – An Impact At The Edge


 

>>Yeah. >>Okay. Now we're going to look deeper into the intersection of technology and money and actually a force for good mobile. And the infrastructure around it has made sending money as easy as sending a text. But the capabilities that enable this to happen are quite amazing, especially because as users, we don't see the underlying complexity of the transactions. We just enjoy the benefits. And there's many parts of the world that historically have not been able to enjoy the benefits. And the ecosystems that are developing around these new platforms are truly transformative. And with me to explain, the business impacts of these innovations is all a person who is the head of mobile financial services at Ericsson Ola. Welcome to the program. Thanks for coming on. >>Thank you. Dave, Thank you for having me here in the program and really excited to tell me. Tell us about the product that we have within Ericsson. >>Okay, well, let's get right into it. I mean, your firm has developed the Ericsson wallet platform. What is that? Yes, >>so? So the wallet platform is one of the product, but, I mean, you can say offer here by Ericsson and the platform is built on enabled financial services not for only the bank segment, but also for the unbanked. And we have, you know, the function that we are providing as such Here is, uh, both transfer the service provided payment. You have the cash in the cash out. You have a lot of other feature that we kind of a neighbor through the ecosystem as such. And, uh, I would really like you say, to emphasize on on the use, and they really I'll say, uh, connectivity that we have in this platform here because, uh, looking at you can say the pandemic as such here. Now, we really have made you can say tremendous Shane here through all the functions etcetera feature that we have here. >>Yeah, so, I mean, I'm surrounded by banks in Massachusetts, right? No problem. I'm Boston, right? So But there's a lot of places in the world that that aren't I take for granted some of the capabilities that are there, but so part of this is to enable people who don't have access to those types of services. So maybe you could talk about that and talk about some of the things that you're enabling with the platform, >>right? So So you just think of their You can say unbanked people here, But we have across the emerging market. I think we have one point, you know, seven billion unbanked people here, but we actually can, through wallet platform enabled through getting a bank account, etcetera, and so on here and what we're actually providing you can say in this, uh, this feature is here is that you can pay your electricity bill, for example, Here, you can pay your your bill and you you can go through merchants. You can do the cashed out. You can do multiple thing here, just like I mean to to enable the the question that financial inclusion as well. So I mean I mean from from my point of view, where we're sitting, as I said, we also sitting in Sweden, we have bank account. We have something called swish where we send you can say money back, back and forward between the family, etcetera. So, on this type of transaction, we can and have enabled for all you can say, the user that I come across the the platform here and the kind of growth that we have within this usage here and and we're seeing also. I mean, we leverage here to get with a speed today on a fantastic scale that we actually have here with our our both you can say feature performers going, I will say, Really in in in in a in the direction that we couldn't imagine here you can say a few years back here. So it is fantastic transformation that we undergo here through through the platform of the technology that we have. >>You know, it reminds me of sort of the early days of mobile people talked about being able to connect, you know, remote users in places like Africa or other parts of the world that that haven't been able to enjoy things like a landline. Uh, and so I presume you're seeing a lot of interest in in those types of regions. Maybe you could talk about that a little bit. >>Yeah. Yeah, correct. I mean, I mean, we we see all of this region here, but for for example, Uh uh. Now, we we, uh we were not only entering, you can say the the, uh, specifically the African region, but also you can say the Middle East and the the the A C a specific and also actually Latin America. I mean, a lot of this country here are looking into you can say the expansion, how they can evolve. You can say the financial inclusion from what they have today, when they are, and you can say firm telecom provider, they would like to have an asset of different use case here, and we're seeing that transformation. But we have right now from just voice, you can say SMS and five year etcetera so on. This is the platform that we have to sort of enable the transaction for for a mobile financial system. But we would like also to see that the kind of operator or evolving the business with much more feature here. And this is another. You can say I was attraction to attract the user with the mobile transfer system. So we we we see this kind of expanding very heavily in this this kind of market. >>I think this is really transformative. I mean, in terms of people's lives. I mean, first of all, you're talking about the convenience of being able to move money as bits as opposed to paper, but as well I would think supporting entrepreneurship and business is getting started. I mean, there's a whole set of cultural and societal impacts that that you're having. How do you see that >>we we also providing you say I mean the world to such is also supporting, say microloans and need as an entrepreneur is to sort of start you can say any kind of company, but you need to kind of business around here. So we have seen that we have sort of enterprise services across function and the whole asset that we are that we are into today >>talking a little bit >>about >>partnerships and the ecosystems. I know you've got big partnerships with HPD. We're going to get to that. They're kind of a technology operator, but But what about, you know, other partnerships, like, I'm imagining that if I'm gonna pay my my my bill with this, you've got other providers that got to connect into your platform. So So how are those ecosystem partnerships evolving? >>Well, we are kind of the enabler, but we are providing to the operator the partnerships is then going through the operator. It could be any kind of you can say external instrument that we have today and the kind of you can go directly to the bank. You can go directly to any court provider. You have these amongst the court, etcetera and so on. But these are all partners of the and you can stay connected through there. You can say operator assault today. So what we're doing actually, with our platform is to kind of make the enable them to kind of provide the food ecosystem as partnership to to operate as us today. Here, So that that's kind of the baseline that we see how you can say we are sort of supporting of building the full ecosystem around the platform in order to connect here has come to both the like, the card. As I said here, the merchant, the bank, any kind of type of you can say I will say service provider here, but that we can see could enable the ecosystem >>okay. And so I mean, I don't want to geek out here, but it sounds like it's an open system that my developers can plug into through a p i s They're not gonna throw cold water on that. They're going to embrace it. So yeah, this is actually easy for me to integrate with, Is that correct? >>Correct. Correct. And they open API that we're actually providing today. I think that you can say there are five thousands of you can say developer, just you can say connecting to our system. And actually, we're also providing both sandbox and and other application in order to support this developers in order to to kind of create this ecosystem here. So it's a multiple things that we we see through you can say, hear, hear the both the partners partnership the open API or you can say the development that is doing through through the channels. So I mean, it's a fascinating, amazing development that we see up front here right now. >>Now, what's H. P s role in all this? What are they providing? How are you partnering with them? >>So it's very good question, I would say. And we we look back, you can say and we we have evaluated a lot of you say that the provider fruit year here, And, uh, you can just imagine the the kind of, uh, stability that we need to provide when it comes to the financial inclusion system here because what we need to have a very strong uptake of, uh, making sure that we don't both go with the performance and the stability and what we have seen in our lab is that hypocrisy today is we have domestically evolved how you can say our stability assessed on the system. And right now we are leveraging the the dog is with the microservices here, together with HV on the platform that you're providing. So I will say that the transformation we have done in the stability that we have get through the food. You can say HP system is really fantastic at the moment. >>Well, and you know, I'm no security expert, but I talked to a lot of security experts and what I what I do know is they tell me that that you can't just bolt security on. It's got to be designed in from the start. I would imagine that that's part of the HPD partnership. But what about security? Can I fully trust this platform >>now? It's It's very, very valid question. I would say we we have one of the most you can say secure system here were also running multiple external. You can say, uh, system validation there is called The PNDs s certification is a certification, But we we have external auditor, you can say trying to breach the system. Look at the process that we are developing making sure that we have You can say all of you can say the documentation really in shape and seeing that we follow the procedure when we are both developing the code and and also when we're looking into all the a p I s that were actually exposed to to to our end users. So I would say that we haven't had any bridge on our system and we we really working tightly. I'll say both together with I'll say, H b and and of course, the the customer, such and? And every time we do a Lawrence, we also make you can say final security validation on the system here in order to sort of see that we have and and two and because the application that is completely secure, So so that that that that's a very, very important topic. For from our point of view, >>Yeah, because it's the usual. I don't even want to think about that. Like I set up front. It's It's got to be hidden from me, all that complexity. But there's sort of the same question around compliance and privacy. I mean, often security, privacy. There's sort of two sides of the same coin, but compliance privacy You've got to worry about K. Y. C Know your customer? Uh, there's a lot of complexity around that, and and so that's another key piece. >>Mhm Now. Like you said, the K Y C is an important part that we have fully support in our system and we validate. You can say all the uses We we also are running, You can say with our credit scoring companies that the you can say our operator or are partnering with. So this combined, you can say, with both the K Y C and then and the credit scoring. But there were performing that. Let's make us a very you can say unique, stable platform as such. >>Okay, last question is, is what about going forward? What's the road map look like? What can you share? What should we expect going forward in terms of the impact that this will have on society and how the technology will evolve. >>Well, what is he going forward? And that's a very interesting question, because what we what we see right now is how we we we kind of have changed the life for for so many. You can say unbanked people here and we would like to have You can say, uh, any kind of assets that going forward here, any kind of you can see that the digital currency is a bouldering through both government. You can see over top players like Google. You can say, What's up all of these things. Here we want to be the one, but also connecting. You can say this type of platform together and see that we could be the heart of the ecosystem going forward here, independent in what kind of you can say customer we're aiming for. So I would say this This is kind of the role that we will play in the future here, depending on what kind of currency it would be. So it's very interesting future we see. With this, you can say abroad digital currency in the market and the trends that we are now right now, evolving on >>very exciting when we're talking about elevating, you know, potentially billions of people all, uh, thanks very much for sharing this innovation with the audience. And best of luck with this incredible platform. Congratulations. >>Thank you so much, Dave. And once again, thank you for having me here, and I'll talk to you soon again. Thank you. >>Thank you. It's been our pleasure. And thank you for watching. This is Dave Valenti. >>Yeah. Mhm. Yeah. Mhm. Okay.

Published Date : Mar 11 2021

SUMMARY :

But the capabilities that enable this to happen are Dave, Thank you for having me here in the program and really excited to tell me. I mean, your firm has developed the Ericsson wallet platform. connectivity that we have in this platform here because, uh, looking at you can say the So maybe you could talk about that and talk about some of the things that you're enabling with the platform, in in in a in the direction that we couldn't imagine here you can say a to connect, you know, remote users in places like Africa or other parts we we, uh we were not only entering, you can say the the, How do you see that we we also providing you say I mean the world to such you know, other partnerships, like, I'm imagining that if I'm gonna pay my my my bill It could be any kind of you can say external instrument that we have today and the kind of you can go directly They're going to embrace it. I think that you can say there are five thousands of you can say developer, How are you partnering with them? And we we look back, you can say and Well, and you know, I'm no security expert, but I talked to a lot of security experts and what I what I do And every time we do a Lawrence, we also make you can say final security Yeah, because it's the usual. Let's make us a very you can say unique, stable platform as such. What can you share? going forward here, independent in what kind of you can say customer we're aiming for. very exciting when we're talking about elevating, you know, potentially billions of people all, Thank you. And thank you for watching.

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(upbeat music playing) >> Okay, now we're going to look deeper into the intersection of technology and money and actually a force for good mobile and the infrastructure around it has made sending money as easy as sending a text. But the capabilities that enable this to happen are quite amazing, especially because as users we don't see the underlying complexity of the transactions. We just enjoy the benefits and there's many parts of the world that historically have not been able to enjoy these benefits. And the ecosystems that are developing around these new platforms are truly transformative. And with me to explain the business impacts of these innovations is all a person who was the head of mobile financial services at Ericsson Allah. Welcome to the program. Thanks for coming on. >> Thank you, Dave. Thank you for having me here in the program. And they're really excited to tell me tell us about the product that we have within Ericsson. >> Well, let's get right into it. I mean your firm has developed the Ericsson wallet platform. What is that plan? >> Yes. The wallet platform is one of the product but being, you can say offer here by Erickson and the platform is built on enabled financial services not for only the bank segment, but also for the unbanked. And we have, the function that we are providing a such here is both transfer the service provider payment. You have the cash in the cash out you have a lots of other features that we kind of enable through the ecosystem as such. And I would really like you say to emphasize on the use. And they're the really, I would say connectivity that we have in these platform here, because looking at you can say the pandemic assaults here. Now we really have made, you can say tremendous Shane here through all the function, et cetera feature that we have here. >> Yeah. And I mean, I I'm surrounded by banks in Massachusetts. No problem. I'm in Boston, right? So, but there's a lot of places in the world that aren't I take for granted some of the capabilities that are there, but part of this is to enable people who don't have access to those types of services. Maybe you could talk about that and talk about some of the things that you're enabling with the platform >> Right? You just think of there you can say unbanked people here but we have across the emerging market. I think we have 1.7 billion unbanked people here but we actually can through one of the path from enable proof getting a bank account, et cetera, and so on here. And what we actually providing, you can say in, in this in this feature rates here is that you you can pay your electricity bill. For example, here, you can pay your bill and you can go through merchant, you can do the cash out. You can do multiple thing here, just like, I mean, to enable the, the departure that financial inclusion that we have. So, I mean, from my point of view, where we see things, as I said we also sit in Sweden, we have bank account we have something called swish where we send you can say money back and back and forth between the family, et cetera. On these type of transaction, we can have enable for all. You can say the user better come across the platform here and the, the kind of growth that we have within this usage here. And we seeing also, I mean we leverage here to get with a speed today on a fantastic scale that we actually have here with I would say are both, you can say feature performance going I will say re really in the direction. But we couldn't imagine here. You can say a few years back here. It is fantastic transformation but we undergo here through the platform of the technology that we have. >> No, it reminds me of sort of the early days of mobile people talked about being able to connect remote users in places like Africa or other parts of the world that haven't been able to enjoy things like a land line. And I presume you're seeing a lot of interest in those types of regions. Maybe you could talk about that a little bit. >> Yeah. Correct. I mean we see all of these region here about, for example, now we not only entering, you can say the specifically the Africa region but also you can say the middle East and the Asia Pacific and also actually Latin America. I mean, a lot of these country here, all looking into you can say the expansion, how they can evolve you can say the financial inclusion from what they have today, when they are, and you can say from telco provider, they would like to have an asset of different use cases here. And we're seeing that transformation, but we have right now from just voice, you can say SMS and 5G, et cetera. This is the platform that we have to sort of enable the transaction for a mobile financial system. But we would like also to see about the kind of operator or bond being the business with much more features here. And this is another, you can say, I was attraction to attract the user where the the mobile transfer system. We see these kind of expanding very heavily in these, these kind of market. >> I think this is really transformative, not, I mean in terms of people's lives. I mean, your first of all, you're talking about the convenience of being able to move money as bits as opposed to paper, but as well I would think supporting entrepreneurship and businesses getting started, I mean, there's a whole set of cultural and societal impacts that you're having. How do you see that? >> Yeah. We also provide the, you say, I mean is also supporting, say micro loans and need as an entrepreneurial sort of stock. You can say any kind of company. You need to get off these, this around here. We have seen that we have a of enterprise. Those is a cross functional, the whole asset that we are, that we are oriented today. >> Talk a little bit about partnerships and ecosystems. I know you've got big partnerships with, with HPE. We're going to get to that. They're kind of as a technology provider, but what about, other partnerships like I'm imagining that if I'm going to pay my bill with this you've got other providers that got to connect into your platform. How are those ecosystem partnerships evolving? >> Well, are kind of enabler about we are providing to the operator. The partnerships is then going through the operator. It could be any kind of you can say external instrument that we have today and they can know if you can go directly to that to the bank, you can go directly to any core provider. You have these most et cetera, so on but these are all partners would be in. You could say connected through there. You can say, operate through a subsidy. What we doing actually with our platform is to kind of make the navel and to kind of provide the food ecosystem as partnership to operate a SAS today here. That's kind of the baseline that we see how you can say. We are sort of supporting of building the full ecosystem around the platform in order to connect here. Wells come to both the light, the cord as I said, here, the merchant, the bank, any kind of, type of, you can say I would say service provider here but that we can see could enable the ecosystem. >> Okay. And I don't want to geek out here but it sounds like it's an open system that my developers can plug into through APIs. They're not going to throw cold water on it. They're going to embrace it and say, Oh yeah this is actually easy for me to integrate with. Is that correct? >> Correct. Correct. And the open API that we actually are providing today I think that you can say there are thousands of you can say developer, just you can say connecting to our system. And actually we also providing both sandbox and Ann Arbor. You can see the application in order to support this to developers in order to kind of create this ecosystem here. It's a multiple things that we see through what you can say here, they're both the partners partnership, the open API, or you can say that the development that is doing for prudent channels. So, I mean, it's an fascinating amazing development that we'll see our frontier right now. >> Now what's HP's role in all this, what are they providing? How are you partnering with them? >> It's very good question. I will say. And we look back, you can say, and we have evaluate a lot of you say that the provide the fruit year here and you can just imagine the kind of stability that we need to provide when come to the financial inclusion system here because what we need to have a very strong uptake of making sure that we don't both go with the performance and the stability. And what we have seen in our lab is that the partnership with HP have domestically evolve. Our, you can say our stability assessed on the system. And right now we are leveraging the Dockers with the microservices here to get with HB on the platform that you're providing. I would say that the transformation we have done in disability, but we have get through the food. You can say HP system is, is really fantastic at the moment. >> I'm no security expert, but I talked to a lot of security experts in what I do know is they tell me that, that you can't just bolt security on. It's going to be designed in from the start. I would imagine that that's part of the HPP partnership but what about security? Can I fully trust this platform? >> No, it's very valid question. I will say we have one of the most you can say secure system here we also running multiple external. You can say a system validation data it's called the PRD assess certification is a certification but we have external auditor. You can say trying to breach the system look at the process that we are developing making sure that we have, you can say, or off you can say the documentation really in shape. And seeing that we follow the procedure when we are both developing the code. And also when we look into all the API that we actually exposed to our end users. I would say that we haven't had any breach on our system. And we really work in tightly. I would say both to get with, I would say HP and the of course the customers out and every time we do a low once, we also make you can say final security validation on the system here in order to sort of see that we have an end to end because the application, but it's completely secure. That's a very important topic from our point of view. >> There's a usual, I don't even want to think about that. Like I said, up front it's going to be hidden from me all that complexity, but it's sort of same question around compliance and privacy. I an often, security, privacy there's sort of two sides of the same coin, but compliance privacy you've got to worry about KYC, know your customer. There's a lot of complexity around that. And that's another key piece. >> Now, like you said, the KYC is an important part that we have food support in our system. And then we validate you can say all the users, we also are running you can say without credit scoring companies, the you can say operator or partnering with, his combined you can say with both the KYC and the credit scoring that we are performing, that's make us a very you can say unique, stable platform and such. >> Last question is, what about going forward? What's the roadmap look like? What can you share? What should we expect going forward in terms of the impact that this will have on society and how the technology will evolve? >> Well, what is he going forward? That's very interesting question because what we see right now is how we kind of have changed the life for so many. You can say unbanked people here, and we would like to have you can say any kind of assets that going forward here, any kind of you can see that the digital currency is evolving through both government. You can see over the top players like Google you can say WhatsApp, all of these things here. We want to be the one that also connecting. You can say these type of platform together and see that we could be the heart of the ecosystem going forward here, independent in what kind of, you can say customer we aiming for. I will say this is kind of the role that we will play in the future here, depending on what kind of currency it would be. It's a very interesting future. We see with this you can say overall digital currency, the market and the trends that we are now right now evolving on. >> Very exciting. And we were talking about elevating, potentially billions of people, all... Thanks very much for sharing this innovation with the audience and best of luck with this incredible platform. Congratulations. >> Thank you so much, Dave. And once again, thank you for having me here. And I'll talk to you soon again. Thank you. >> Thank you. It's been our pleasure and thank you for watching. This is Dave Vellante. (upbeat music playing)

Published Date : Mar 2 2021

SUMMARY :

And the ecosystems that are developing that we have within Ericsson. What is that plan? the function that we are of the capabilities that are of growth that we have of sort of the early days now we not only entering, you can say about the convenience of being We have seen that we have a of enterprise. that got to connect that we see how you can say. They're going to embrace the open API, or you can say And we look back, you can say, and in from the start. look at the process that we are developing sides of the same coin, you can say all the and the trends that we are And we were talking about elevating, And I'll talk to you soon again. thank you for watching.

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Santiago Castro, Gudron van der Wal and Yusef Khan | Io-Tahoe Adaptive Data Governance


 

>> Presenter: From around the globe, it's theCUBE. Presenting Adaptive Data Governance, brought to you by Io-Tahoe. >> Our next segment here is an interesting panel, you're going to hear from three gentlemen, about Adaptive Data Governance. We're going to talk a lot about that. Please welcome Yusef Khan, the global director of data services for Io-Tahoe. We also have Santiago Castor, the chief data officer at the First Bank of Nigeria, and Gudron Van Der Wal, Oracle's senior manager of digital transformation and industries. Gentlemen, it's great to have you joining us in this panel. (indistinct) >> All right, Santiago, we're going to start with you. Can you talk to the audience a little bit about the First Bank of Nigeria and its scale? This is beyond Nigeria, talk to us about that. >> Yes. So First Bank of Nigeria was created 125 years ago, it's one of the oldest, if not the oldest bank in Africa. And because of the history, it grew, everywhere in the region, and beyond the region. I'm currently based in London, where it's kind of the European headquarters. And it really promotes trade finance, institutional banking, corporate banking, private banking around the world, in particular in relationship to Africa. We are also in Asia, in the Middle East. And yes, and is a very kind of active bank in all these regions. >> So Santiago, talk to me about what adaptive data governance means to you, and how does it helps the First Bank of Nigeria to be able to innovate faster with the data that you have. >> Yes I like that concept of adaptive data governance, because it's kind of, I would say, an approach that can really happen today with the new technology before it was much more difficult to implement. So just to give you a little bit of context, I used to work in consulting for 16-17 years before joining the First Bank of Nigeria. And I saw many organizations trying to apply different type of approaches in data governance. And the beginning, early days was really kind of (indistinct), where you top down approach, where data governance was seen as implement a set of rules, policies and procedures, but really from the top down. And is important, it's important to have the battle of your sea level, of your director, whatever is, so just that way it fails, you really need to have a complimentary approach, I often say both amount, and actually, as a CEO I'm really trying to decentralized data governance, really instead of imposing a framework that some people in the business don't understand or don't care about it. It really needs to come from them. So what I'm trying to say is that, data basically support business objectives. And what you need to do is every business area needs information on particular decisions to actually be able to be more efficient, create value, et cetera. Now, depending on the business questions they have to show, they will need certain data sets. So they need actually to be able to have data quality for their own, 'çause now when they understand that, they become the stewards naturally of their own data sets. And that is where my bottom line is meeting my top down. You can guide them from the top, but they need themselves to be also in power and be actually in a way flexible to adapt the different questions that they have in order to be able to respond to the business needs. And I think that is where these adaptive data governance starts. Because if you want, I'll give you an example. In the bank, we work, imagine a Venn diagram. So we have information that is provided to finance, and all information to risk, or information for business development. And in this Venn diagram, there is going to be part of that every circle that are going to kind of intersect with each other. So what you want as a data governance is to help providing what is in common, and then let them do their own analysis to what is really related to their own area as an example, nationality. You will say in a bank that will open an account is the nationality of your customer, that's fine for final when they want to do a balance sheet an accounting or a P&L, but for risk, they want that type of analysis plus the net nationality of exposure, meaning where you are actually exposed as a risk, you can have a customer that are on hold in the UK, but then trade with Africa, and in Africa they're exposing their credit. So what I'm trying to say is they have these pieces in common and pieces that are different. Now I cannot impose a definition for everyone. I need them to adapt and to bring their answers to their own business questions. That is adaptive data governance. And all that is possible because we have and I was saying at the very beginning, just to finalize the point, we have new technologies that allow you to do these metadata classification in a very sophisticated way that you can actually create analytics of your metadata. You can understand your different data sources, in order to be able to create those classifications like nationalities and way of classifying your customers, your products, et cetera. But you will need to understand which areas need, what type nationality or classification, which others will mean that all the time. And the more you create that understanding, that intelligence about how your people are using your data you create in a way building blocks like a label, if you want. Where you provide them with those definitions, those catalogs you understand how they are used or you let them compose like Lego. They would play their way to build their analysis. And they will be adaptive. And I think the new technologies are allowing that. And this is a real game changer. I will say that over and over. >> So one of the things that you just said Santiago kind of struck me in to enable the users to be adaptive, they probably don't want to be logging in support ticket. So how do you support that sort of self service to meet the demand of the user so that they can be adaptive? >> Yeah, that's a really good question. And that goes along with that type of approach. I was saying in a way more and more business users want autonomy, and they want to basically be able to grab the data and answers their question. Now, when you have that, that's great, because then you have demand. The business is asking for data. They're asking for the insight. So how do you actually support that? I will say there is a changing culture that is happening more and more. I would say even the current pandemic has helped a lot into that because you have had, in a way, of course, technology is one of the biggest winners without technology we couldn't have been working remotely. Without this technology, where people can actually log in from their homes and still have a market data marketplaces where they self serve their information. But even beyond that, data is a big winner. Data because the pandemic has shown us that crisis happened, but we cannot predict everything and that we are actually facing a new kind of situation out of our comfort zone, where we need to explore and we need to adapt and we need to be flexible. How do we do that? With data. As a good example this, every country, every government, is publishing everyday data stats of what's happening in the countries with the COVID and the pandemic so they can understand how to react because this is new. So you need facts in order to learn and adapt. Now, the companies that are the same. Every single company either saw the revenue going down, or the revenue going very up for those companies that are very digital already now, it changed the reality. So they needed to adapt, but for that they needed information in order to think and innovate and try to create responses. So that type of self service of data, (indistinct) for data in order to be able to understand what's happening when the construct is changing, is something that is becoming more of the topic today because of the pandemic, because of the new capabilities of technologies that allow that. And then, you then are allowed to basically help, your data citizens, I call them in organization. People that know their business and can actually start playing and answer their own questions. So these technologies that gives more accessibility to the data, that gives some cataloging so we can understand where to go or where to find lineage and relationships. All this is basically the new type of platforms or tools that allow you to create what I call a data marketplace. So once you create that marketplace, they can play with it. And I was talking about new culture. And I'm going to finish with that idea. I think these new tools are really strong because they are now allowing for people that are not technology or IT people to be able to play with data because it comes in the digital world they are useful. I'll give you an example with all your stuff where you have a very interesting search functionality, where you want to find your data and you want to self serve, you go there in that search, and you actually go and look for your data. Everybody knows how to search in Google, everybody searching the internet. So this is part of the data culture, the digital culture, they know how to use those tools. Now similarly, that data marketplace is in Io-Tahoe, you can for example, see which data sources are mostly used. So when I'm doing an analysis, I see that police in my area are also using these sources so I trust those sources. We are a little bit like Amazon, when you might suggest you what next to buy, again this is the digital kind of culture where people very easily will understand. Similarly, you can actually like some type of data sets that are working, that's Facebook. So what I'm trying to say is you have some very easy user friendly technologies that allows you to understand how to interact with them. And then within the type of digital knowledge that you have, be able to self serve, play, collaborate with your peers, collaborate with the data query analysis. So its really enabling very easily that transition to become a data savvy without actually needing too much knowledge of IT, or coding, et cetera, et cetera. And I think that is a game changer as well. >> And enabling that speed that we're all demanding today during these unprecedented times. Gudron I wanted to go to you, as we talk about in the spirit of evolution, technology's changing. Talk to us a little bit about Oracle Digital. What are you guys doing there? >> Yeah, thank you. Well, Oracle Digital is a business unit at Oracle EMEA. And we focus on emerging countries, as well as low end enterprises in the mid market in more developed countries. And four years ago, they started with the idea to engage digital with our customers via central hubs across EMEA. That means engaging with video having conference calls, having a wall, agreeing wall, where we stand in front and engage with our customers. No one at that time could have foreseen how this is the situation today. And this helps us to engage with our customers in the way we're already doing. And then about my team. The focus of my team is to have early stage conversations with our customers on digital transformation and innovation. And we also have a team of industry experts who engage with our customers and share expertise across EMEA. And we we inspire our customers. The outcome of these conversations for Oracle is a deep understanding of our customer needs, which is very important. So we can help the customer and for the customer means that we will help them with our technology and our resources to achieve their goals. >> It's all about outcomes. Right Gudron? So in terms of automation, what are some of the things Oracle is doing there to help your clients leverage automation to improve agility so that they can innovate faster? Which on these interesting times it's demanding. >> Yeah. Thank you. Well, traditionally, Oracle is known for their databases, which has been innovated year over year since the first launch. And the latest innovation is the autonomous database and autonomous data warehouse. For our customers, this means a reduction in operational costs by 90%, with a multimodal converged database, and machine learning based automation for full lifecycle management. Our database is self driving. This means we automate database provisioning, tuning and scaling. The database is self securing. This means ultimate data protection and security and itself repairing the ultimate failure detection, failover and repair. And the question is for our customers, what does it mean? It means they can focus on their business instead of maintaining their infrastructure and their operations. >> That's absolutely critical. Yusef, I want to go over to you now. Some of the things that we've talked about, just the massive progression and technology, the evolution of that, but we know that whether we're talking about data management, or digital transformation. A one size fits all approach doesn't work to address the challenges that the business has. That the IT folks have. As you are looking to the industry, with what Santiago told us about First Bank of Nigeria, what are some of the changes that you're seeing that Io-Tahoe has seen throughout the industry? >> Well, Lisa, I think the first way I'd characterize it is to say, the traditional kind of top down approach to data, where you have almost a data policeman who tells you what you can and cannot do just doesn't work anymore. It's too slow, it's too result intensive. Data Management, data governance, digital transformation itself, it has to be collaborative. And it has to be an element of personalization today to users. In the environment we find ourselves in now, it has to be about enabling self service as well. A one size fits all model when it comes to those things around data doesn't work. As Santiago was saying, it needs to be adaptive to how the data is used and who is using it. And in order to do this, companies, enterprises, organizations really need to know their data. They need to understand what data they hold, where it is, and what the sensitivity of it is. They can then in a more agile way, apply appropriate controls and access so that people themselves are in groups within businesses are agile and can innovate. Otherwise, everything grinds to a halt, and you risk falling behind your competitors. >> Yet a one size fits all terms doesn't apply when you're talking about adaptive and agility. So we heard from Santiago about some of the impact that they're making with First Bank of Nigeria. Yusef, talk to us about some of the business outcomes that you're seeing other customers make leveraging automation that they could not do before. >> I guess one of the key ones is around. Just it's automatically being able to classify terabytes of data or even petabytes of data across different sources to find duplicates, which you can then remediate and delete. Now, with the capabilities that Io-Tahoe offers, and Oracle offers, you can do things not just with a five times or 10 times improvement, but it actually enables you to do project for stock that otherwise would fail, or you would just not be able to do. Classifying multi terabyte and multi petabyte estates across different sources, formats, very large volumes of data. In many scenarios, you just can't do that manually. We've worked with government departments. And the issues there as you'd expect are the result of fragmented data. There's a lot of different sources, there's a lot of different formats. And without these newer technologies to address it, with automation and machine learning, the project isn't doable. But now it is. And that could lead to a revolution in some of these businesses organizations. >> To enable that revolution now, there's got to be the right cultural mindset. And one, when Santiago was talking about those really kind of adopting that and I think, I always call that getting comfortably uncomfortable. But that's hard for organizations to do. The technology is here to enable that. But when you're talking with customers, how do you help them build the trust and the confidence that the new technologies and a new approaches can deliver what they need? How do you help drive that kind of attack in the culture? >> It's really good question, because it can be quite scary. I think the first thing we'd start with is to say, look, the technology is here, with businesses like Io-Tahoe, unlike Oracle, it's already arrived. What you need to be comfortable doing is experimenting, being agile around it and trying new ways of doing things. If you don't want to get left behind. And Santiago, and the team at FBN, are a great example of embracing it, testing it on a small scale and then scaling up. At Io-Tahoe we offer what we call a data health check, which can actually be done very quickly in a matter of a few weeks. So we'll work with the customer, pick a use case, install the application, analyze data, drive out some some quick wins. So we worked in the last few weeks of a large energy supplier. And in about 20 days, we were able to give them an accurate understanding of their critical data elements, help them apply data protection policies, minimize copies of the data, and work out what data they needed to delete to reduce their infrastructure spend. So it's about experimenting on that small scale, being agile, and then scaling up in a in a kind of very modern way. >> Great advice. Santiago, I'd like to go back to you. Is we kind of look at, again, that topic of culture, and the need to get that mindset there to facilitate these rapid changes. I want to understand kind of last question for you about how you're doing that. From a digital transformation perspective, we know everything is accelerating in 2020. So how are you building resilience into your data architecture and also driving that cultural change that can help everyone in this shift to remote working and a lot of the the digital challenges that we're all going through? >> That's a really interesting transition, I would say. I was mentioning, just going back to some of the points before to transition these I said that the new technologies allowed us to discover the data in a new way to blog and see very quickly information, to have new models of (indistinct) data, we are talking about data (indistinct), and giving autonomy to our different data units. Well, from that autonomy, they can then compose and innovate their own ways. So for me now we're talking about resilience. Because, in a way autonomy and flexibility in our organization, in our data structure, we platform gives you resilience. The organizations and the business units that I have experienced in the pandemic, are working well, are those that actually, because they're not physically present anymore in the office, you need to give them their autonomy and let them actually engage on their own side and do their own job and trust them in a away. And as you give them that they start innovating, and they start having a really interesting idea. So autonomy and flexibility, I think, is a key component of the new infrastructure where you get the new reality that pandemic shows that yes, we used to be very kind of structure, policies, procedures, as they're important, but now we learn flexibility and adaptability at the same site. Now, when you have that, a key other components of resiliency is speed, of course, people want to access the data and access it fast and decide fast, especially changes are changing so quickly nowadays, that you need to be able to, interact and iterate with your information to answer your questions quickly. And coming back maybe to where Yusef was saying, I completely agree is about experimenting, and iterate. You will not get it right the first time, especially that the world is changing too fast. And we don't have answers already set for everything. So we need to just go play and have ideas fail, fail fast, and then learn and then go for the next. So, technology that allows you to be flexible, iterate, and in a very fast agile way continue will allow you to actually be resilient in the way because you're flexible, you adapt, you are agile and you continue answering questions as they come without having everything said in a stroke that is too hard. Now coming back to your idea about the culture is changing in employees and in customers. Our employees, our customers are more and more digital service. And in a way the pandemic has accelerated that. We had many branches of the bank that people used to go to ask for things now they cannot go. You need to, here in Europe with the lockdown you physically cannot be going to the branches and the shops that have been closed. So they had to use our mobile apps. And we have to go into the internet banking, which is great, because that was the acceleration we wanted. Similarly, our employees needed to work remotely. So they needed to engage with a digital platform. Now what that means, and this is, I think the really strong point for the cultural change for resilience is that more and more we have two type of connectivity that is happening with data. And I call it employees connecting to data. The session we're talking about, employees connecting with each other, the collaboration that Yusef was talking about, which is allowing people to share ideas, learn and innovate. Because the more you have platforms where people can actually find themselves and play with the data, they can bring ideas to the analysis. And then employees actually connecting to algorithms. And this is the other part that is really interesting. We also are a partner of Oracle. And Oracle (indistinct) is great, they have embedded within the transactional system, many algorithms that are allowing us to calculate as the transactions happen. What happened there is that when our customers engage with algorithms, and again, with Io-Tahoe as well, the machine learning that is there for speeding the automation of how you find your data allows you to create an alliance with the machine. The machine is there to actually in a way be your best friend, to actually have more volume of data calculated faster in a way to discover more variety. And then, we couldn't cope without being connected to these algorithms. And then, we'll finally get to the last connection I was saying is, the customers themselves engaging with the connecting with the data. I was saying they're more and more engaging with our app and our website and they're digitally serving. The expectation of the customer has changed. I work in a bank where the industry is completely challenged. You used to have people going to a branch, as I was saying, they cannot not only not go there, but they're even going from branch to digital to ask to now even wanting to have business services actually in every single app that they are using. So the data becomes a service for them. The data they want to see how they spend their money and the data of their transactions will tell them what is actually their spending is going well with their lifestyle. For example, we talk about a normal healthy person. I want to see that I'm standing, eating good food and the right handle, healthy environment where I'm mentally engaged. Now all these is metadata is knowing how to classify your data according to my values, my lifestyle, is algorithms I'm coming back to my three connections, is the algorithms that allow me to very quickly analyze that metadata. And actually my staff in the background, creating those understanding of the customer journey to give them service that they expect on a digital channel, which is actually allowing them to understand how they are engaging with financial services. >> Engagement is absolutely critical Santiago. Thank you for sharing that. I do want to wrap really quickly. Gudron one last question for you. Santiago talked about Oracle, you've talked about it a little bit. As we look at digital resilience, talk to us a little bit in the last minute about the evolution of Oracle, what you guys are doing there to help your customers get the resilience that they have to have to be. To not just survive, but thrive. >> Yeah. Well, Oracle has a cloud offering for infrastructure, database, platform service, and the complete solutions offered at SaaS. And as Santiago also mentioned, we are using AI across our entire portfolio, and by this will help our customers to focus on their business innovation and capitalize on data by enabling your business models. And Oracle has a global coverage with our cloud regions. It's massively investing in innovating and expanding their cloud. And by offering cloud as public cloud in our data centers, and also as private clouds with clouded customer, we can meet every sovereignty and security requirement. And then this way, we help people to see data in new ways. We discover insights and unlock endless possibilities. And maybe one one of my takeaways is, if I speak with customers, I always tell them, you better start collecting your data now. We enable this by this like Io-Tahoe help us as well. If you collect your data now you are ready for tomorrow. You can never collect your data backwards. So that is my takeaway for today. >> You can't collect your data backwards. Excellent Gudron. Gentlemen, thank you for sharing all of your insights, very informative conversation. All right. This is theCUBE, the leader in live digital tech coverage. (upbeat music)

Published Date : Dec 10 2020

SUMMARY :

brought to you by Io-Tahoe. Gentlemen, it's great to have going to start with you. And because of the history, it grew, So Santiago, talk to me about So just to give you a that you just said Santiago And I'm going to finish with that idea. And enabling that speed and for the customer means to help your clients leverage automation and itself repairing the that the business has. And in order to do this, of the business outcomes And that could lead to a revolution and the confidence that And Santiago, and the team and the need to get that of the customer journey to give them they have to have to be. and the complete the leader in live digital tech coverage.

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IO TAHOE EPISODE 4 DATA GOVERNANCE V2


 

>>from around the globe. It's the Cube presenting adaptive data governance brought to you by Iota Ho. >>And we're back with the data automation. Siri's. In this episode, we're gonna learn more about what I owe Tahoe is doing in the field of adaptive data governance how it can help achieve business outcomes and mitigate data security risks. I'm Lisa Martin, and I'm joined by a J. Bihar on the CEO of Iot Tahoe and Lester Waters, the CEO of Bio Tahoe. Gentlemen, it's great to have you on the program. >>Thank you. Lisa is good to be back. >>Great. Staley's >>likewise very socially distant. Of course as we are. Listen, we're gonna start with you. What's going on? And I am Tahoe. What's name? Well, >>I've been with Iot Tahoe for a little over the year, and one thing I've learned is every customer needs air just a bit different. So we've been working on our next major release of the I O. Tahoe product. But to really try to address these customer concerns because, you know, we wanna we wanna be flexible enough in order to come in and not just profile the date and not just understand data quality and lineage, but also to address the unique needs of each and every customer that we have. And so that required a platform rewrite of our product so that we could, uh, extend the product without building a new version of the product. We wanted to be able to have plausible modules. We also focused a lot on performance. That's very important with the bulk of data that we deal with that we're able to pass through that data in a single pass and do the analytics that are needed, whether it's, uh, lineage, data quality or just identifying the underlying data. And we're incorporating all that we've learned. We're tuning up our machine learning we're analyzing on MAWR dimensions than we've ever done before. We're able to do data quality without doing a Nen initial rejects for, for example, just out of the box. So I think it's all of these things were coming together to form our next version of our product. We're really excited by it, >>So it's exciting a J from the CEO's level. What's going on? >>Wow, I think just building on that. But let's still just mentioned there. It's were growing pretty quickly with our partners. And today, here with Oracle are excited. Thio explain how that shaping up lots of collaboration already with Oracle in government, in insurance, on in banking and we're excited because we get to have an impact. It's real satisfying to see how we're able. Thio. Help businesses transform, Redefine what's possible with their data on bond. Having I recall there is a partner, uh, to lean in with is definitely helping. >>Excellent. We're gonna dig into that a little bit later. Let's let's go back over to you. Explain adaptive data governance. Help us understand that >>really adaptive data governance is about achieving business outcomes through automation. It's really also about establishing a data driven culture and pushing what's traditionally managed in I t out to the business. And to do that, you've got to you've got Thio. You've got to enable an environment where people can actually access and look at the information about the data, not necessarily access the underlying data because we've got privacy concerns itself. But they need to understand what kind of data they have, what shape it's in what's dependent on it upstream and downstream, and so that they could make their educated decisions on on what they need to do to achieve those business outcomes. >>Ah, >>lot of a lot of frameworks these days are hardwired, so you can set up a set of business rules, and that set of business rules works for a very specific database and a specific schema. But imagine a world where you could just >>say, you >>know, the start date of alone must always be before the end date of alone and having that generic rule, regardless of the underlying database and applying it even when a new database comes online and having those rules applied. That's what adaptive data governance about I like to think of. It is the intersection of three circles, Really. It's the technical metadata coming together with policies and rules and coming together with the business ontology ease that are that are unique to that particular business. And this all of this. Bringing this all together allows you to enable rapid change in your environment. So it's a mouthful, adaptive data governance. But that's what it kind of comes down to. >>So, Angie, help me understand this. Is this book enterprise companies are doing now? Are they not quite there yet. >>Well, you know, Lisa, I think every organization is is going at its pace. But, you know, markets are changing the economy and the speed at which, um, some of the changes in the economy happening is is compelling more businesses to look at being more digital in how they serve their own customers. Eh? So what we're seeing is a number of trends here from heads of data Chief Data Officers, CEO, stepping back from, ah, one size fits all approach because they've tried that before, and it it just hasn't worked. They've spent millions of dollars on I T programs China Dr Value from that data on Bennett. And they've ended up with large teams of manual processing around data to try and hardwire these policies to fit with the context and each line of business and on that hasn't worked. So the trends that we're seeing emerge really relate. Thio, How do I There's a chief data officer as a CEO. Inject more automation into a lot of these common tax. Andi, you know, we've been able toc that impact. I think the news here is you know, if you're trying to create a knowledge graph a data catalog or Ah, business glossary. And you're trying to do that manually will stop you. You don't have to do that manually anymore. I think best example I can give is Lester and I We we like Chinese food and Japanese food on. If you were sitting there with your chopsticks, you wouldn't eat the bowl of rice with the chopsticks, one grain at a time. What you'd want to do is to find a more productive way to to enjoy that meal before it gets cold. Andi, that's similar to how we're able to help the organizations to digest their data is to get through it faster, enjoy the benefits of putting that data to work. >>And if it was me eating that food with you guys, I would be not using chopsticks. I would be using a fork and probably a spoon. So eso Lester, how then does iota who go about doing this and enabling customers to achieve this? >>Let me, uh, let me show you a little story have here. So if you take a look at the challenges the most customers have, they're very similar, but every customers on a different data journey, so but it all starts with what data do I have? What questions or what shape is that data in? Uh, how is it structured? What's dependent on it? Upstream and downstream. Um, what insights can I derive from that data? And how can I answer all of those questions automatically? So if you look at the challenges for these data professionals, you know, they're either on a journey to the cloud. Maybe they're doing a migration oracle. Maybe they're doing some data governance changes on bits about enabling this. So if you look at these challenges and I'm gonna take you through a >>story here, E, >>I want to introduce Amanda. Man does not live like, uh, anyone in any large organization. She's looking around and she just sees stacks of data. I mean, different databases, the one she knows about, the one she doesn't know about what should know about various different kinds of databases. And a man is just tasking with understanding all of this so that they can embark on her data journey program. So So a man who goes through and she's great. I've got some handy tools. I can start looking at these databases and getting an idea of what we've got. Well, as she digs into the databases, she starts to see that not everything is as clear as she might have hoped it would be. You know, property names or column names, or have ambiguous names like Attribute one and attribute to or maybe date one and date to s Oh, man is starting to struggle, even though she's get tools to visualize. And look what look at these databases. She still No, she's got a long road ahead. And with 2000 databases in her large enterprise, yes, it's gonna be a long turkey but Amanda Smart. So she pulls out her trusty spreadsheet to track all of her findings on what she doesn't know about. She raises a ticket or maybe tries to track down the owner to find what the data means. And she's tracking all this information. Clearly, this doesn't scale that well for Amanda, you know? So maybe organization will get 10 Amanda's to sort of divide and conquer that work. But even that doesn't work that well because they're still ambiguities in the data with Iota ho. What we do is we actually profile the underlying data. By looking at the underlying data, we can quickly see that attribute. One looks very much like a U. S. Social Security number and attribute to looks like a I c D 10 medical code. And we do this by using anthologies and dictionaries and algorithms to help identify the underlying data and then tag it. Key Thio Doing, uh, this automation is really being able to normalize things across different databases, so that where there's differences in column names, I know that in fact, they contain contain the same data. And by going through this exercise with a Tahoe, not only can we identify the data, but we also could gain insights about the data. So, for example, we can see that 97% of that time that column named Attribute one that's got us Social Security numbers has something that looks like a Social Security number. But 3% of the time, it doesn't quite look right. Maybe there's a dash missing. Maybe there's a digit dropped. Or maybe there's even characters embedded in it. So there may be that may be indicative of a data quality issues, so we try to find those kind of things going a step further. We also try to identify data quality relationships. So, for example, we have two columns, one date, one date to through Ah, observation. We can see that date 1 99% of the time is less than date, too. 1% of the time. It's not probably indicative of a data quality issue, but going a step further, we can also build a business rule that says Day one is less than date to. And so then when it pops up again, we can quickly identify and re mediate that problem. So these are the kinds of things that we could do with with iota going even a step further. You could take your your favorite data science solution production ISAT and incorporated into our next version a zey what we call a worker process to do your own bespoke analytics. >>We spoke analytics. Excellent, Lester. Thank you. So a J talk us through some examples of where you're putting this to use. And also what is some of the feedback from >>some customers? But I think it helped do this Bring it to life a little bit. Lisa is just to talk through a case study way. Pull something together. I know it's available for download, but in ah, well known telecommunications media company, they had a lot of the issues that lasted. You spoke about lots of teams of Amanda's, um, super bright data practitioners, um, on baby looking to to get more productivity out of their day on, deliver a good result for their own customers for cell phone subscribers, Um, on broadband users. So you know that some of the examples that we can see here is how we went about auto generating a lot of that understanding off that data within hours. So Amanda had her data catalog populated automatically. A business class three built up on it. Really? Then start to see. Okay, where do I want Thio? Apply some policies to the data to to set in place some controls where they want to adapt, how different lines of business, maybe tax versus customer operations have different access or permissions to that data on What we've been able to do there is, is to build up that picture to see how does data move across the entire organization across the state. Andi on monitor that overtime for improvement, so have taken it from being a reactive. Let's do something Thio. Fix something. Thio, Now more proactive. We can see what's happening with our data. Who's using it? Who's accessing it, how it's being used, how it's being combined. Um, on from there. Taking a proactive approach is a real smart use of of the talents in in that telco organization Onda folks that worked there with data. >>Okay, Jason, dig into that a little bit deeper. And one of the things I was thinking when you were talking through some of those outcomes that you're helping customers achieve is our ally. How do customers measure are? Why? What are they seeing with iota host >>solution? Yeah, right now that the big ticket item is time to value on. And I think in data, a lot of the upfront investment cause quite expensive. They have been today with a lot of the larger vendors and technologies. So what a CEO and economic bio really needs to be certain of is how quickly can I get that are away. I think we've got something we can show. Just pull up a before and after, and it really comes down to hours, days and weeks. Um, where we've been able Thio have that impact on in this playbook that we pulled together before and after picture really shows. You know, those savings that committed a bit through providing data into some actionable form within hours and days to to drive agility, but at the same time being out and forced the controls to protect the use of that data who has access to it. So these are the number one thing I'd have to say. It's time on. We can see that on the the graphic that we've just pulled up here. >>We talk about achieving adaptive data governance. Lester, you guys talk about automation. You talk about machine learning. How are you seeing those technologies being a facilitator of organizations adopting adaptive data governance? Well, >>Azaz, we see Mitt Emmanuel day. The days of manual effort are so I think you know this >>is a >>multi step process. But the very first step is understanding what you have in normalizing that across your data estate. So you couple this with the ontology, that air unique to your business. There is no algorithms, and you basically go across and you identify and tag tag that data that allows for the next steps toe happen. So now I can write business rules not in terms of columns named columns, but I could write him in terms of the tags being able to automate. That is a huge time saver and the fact that we can suggest that as a rule, rather than waiting for a person to come along and say, Oh, wow. Okay, I need this rule. I need this will thes air steps that increased that are, I should say, decrease that time to value that A. J talked about and then, lastly, a couple of machine learning because even with even with great automation and being able to profile all of your data and getting a good understanding, that brings you to a certain point. But there's still ambiguities in the data. So, for example, I might have to columns date one and date to. I may have even observed the date. One should be less than day two, but I don't really know what date one and date to our other than a date. So this is where it comes in, and I might ask the user said, >>Can >>you help me identify what date? One and date You are in this in this table. Turns out they're a start date and an end date for alone That gets remembered, cycled into the machine learning. So if I start to see this pattern of date one day to elsewhere, I'm going to say, Is it start dating and date? And these Bringing all these things together with this all this automation is really what's key to enabling this This'll data governance. Yeah, >>great. Thanks. Lester and a j wanna wrap things up with something that you mentioned in the beginning about what you guys were doing with Oracle. Take us out by telling us what you're doing there. How are you guys working together? >>Yeah, I think those of us who worked in i t for many years we've We've learned Thio trust articles technology that they're shifting now to ah, hybrid on Prohm Cloud Generation to platform, which is exciting. Andi on their existing customers and new customers moving to article on a journey. So? So Oracle came to us and said, you know, we can see how quickly you're able to help us change mindsets Ondas mindsets are locked in a way of thinking around operating models of I t. That there may be no agile and what siloed on day wanting to break free of that and adopt a more agile A p I at driven approach. A lot of the work that we're doing with our recall no is around, uh, accelerating what customers conduce with understanding their data and to build digital APS by identifying the the underlying data that has value. Onda at the time were able to do that in in in hours, days and weeks. Rather many months. Is opening up the eyes to Chief Data Officers CEO to say, Well, maybe we can do this whole digital transformation this year. Maybe we can bring that forward and and transform who we are as a company on that's driving innovation, which we're excited about it. I know Oracle, a keen Thio to drive through and >>helping businesses transformed digitally is so incredibly important in this time as we look Thio things changing in 2021 a. J. Lester thank you so much for joining me on this segment explaining adaptive data governance, how organizations can use it benefit from it and achieve our Oi. Thanks so much, guys. >>Thank you. Thanks again, Lisa. >>In a moment, we'll look a adaptive data governance in banking. This is the Cube, your global leader in high tech coverage. >>Innovation, impact influence. Welcome to the Cube. Disruptors. Developers and practitioners learn from the voices of leaders who share their personal insights from the hottest digital events around the globe. Enjoy the best this community has to offer on the Cube, your global leader in high tech digital coverage. >>Our next segment here is an interesting panel you're gonna hear from three gentlemen about adaptive data. Governments want to talk a lot about that. Please welcome Yusuf Khan, the global director of data services for Iot Tahoe. We also have Santiago Castor, the chief data officer at the First Bank of Nigeria, and good John Vander Wal, Oracle's senior manager of digital transformation and industries. Gentlemen, it's great to have you joining us in this in this panel. Great >>to be >>tried for me. >>Alright, Santiago, we're going to start with you. Can you talk to the audience a little bit about the first Bank of Nigeria and its scale? This is beyond Nigeria. Talk to us about that. >>Yes, eso First Bank of Nigeria was created 125 years ago. One of the oldest ignored the old in Africa because of the history he grew everywhere in the region on beyond the region. I am calling based in London, where it's kind of the headquarters and it really promotes trade, finance, institutional banking, corporate banking, private banking around the world in particular, in relationship to Africa. We are also in Asia in in the Middle East. >>So, Sanjay, go talk to me about what adaptive data governance means to you. And how does it help the first Bank of Nigeria to be able to innovate faster with the data that you have? >>Yes, I like that concept off adaptive data governor, because it's kind of Ah, I would say an approach that can really happen today with the new technologies before it was much more difficult to implement. So just to give you a little bit of context, I I used to work in consulting for 16, 17 years before joining the president of Nigeria, and I saw many organizations trying to apply different type of approaches in the governance on by the beginning early days was really kind of a year. A Chicago A. A top down approach where data governance was seeing as implement a set of rules, policies and procedures. But really, from the top down on is important. It's important to have the battle off your sea level of your of your director. Whatever I saw, just the way it fails, you really need to have a complimentary approach. You can say bottom are actually as a CEO are really trying to decentralize the governor's. Really, Instead of imposing a framework that some people in the business don't understand or don't care about it, it really needs to come from them. So what I'm trying to say is that data basically support business objectives on what you need to do is every business area needs information on the detector decisions toe actually be able to be more efficient or create value etcetera. Now, depending on the business questions they have to solve, they will need certain data set. So they need actually to be ableto have data quality for their own. For us now, when they understand that they become the stores naturally on their own data sets. And that is where my bottom line is meeting my top down. You can guide them from the top, but they need themselves to be also empower and be actually, in a way flexible to adapt the different questions that they have in orderto be able to respond to the business needs. Now I cannot impose at the finish for everyone. I need them to adapt and to bring their answers toe their own business questions. That is adaptive data governor and all That is possible because we have. And I was saying at the very beginning just to finalize the point, we have new technologies that allow you to do this method data classifications, uh, in a very sophisticated way that you can actually create analitico of your metadata. You can understand your different data sources in order to be able to create those classifications like nationalities, a way of classifying your customers, your products, etcetera. >>So one of the things that you just said Santa kind of struck me to enable the users to be adaptive. They probably don't want to be logging in support ticket. So how do you support that sort of self service to meet the demand of the users so that they can be adaptive. >>More and more business users wants autonomy, and they want to basically be ableto grab the data and answer their own question. Now when you have, that is great, because then you have demand of businesses asking for data. They're asking for the insight. Eso How do you actually support that? I would say there is a changing culture that is happening more and more. I would say even the current pandemic has helped a lot into that because you have had, in a way, off course, technology is one of the biggest winners without technology. We couldn't have been working remotely without these technologies where people can actually looking from their homes and still have a market data marketplaces where they self serve their their information. But even beyond that data is a big winner. Data because the pandemic has shown us that crisis happened, that we cannot predict everything and that we are actually facing a new kind of situation out of our comfort zone, where we need to explore that we need to adapt and we need to be flexible. How do we do that with data. Every single company either saw the revenue going down or the revenue going very up For those companies that are very digital already. Now it changed the reality, so they needed to adapt. But for that they needed information. In order to think on innovate, try toe, create responses So that type of, uh, self service off data Haider for data in order to be able to understand what's happening when the prospect is changing is something that is becoming more, uh, the topic today because off the condemning because of the new abilities, the technologies that allow that and then you then are allowed to basically help your data. Citizens that call them in the organization people that no other business and can actually start playing and an answer their own questions. Eso so these technologies that gives more accessibility to the data that is some cataloging so they can understand where to go or what to find lineage and relationships. All this is is basically the new type of platforms and tools that allow you to create what are called a data marketplace. I think these new tools are really strong because they are now allowing for people that are not technology or I t people to be able to play with data because it comes in the digital world There. Used to a given example without your who You have a very interesting search functionality. Where if you want to find your data you want to sell, Sir, you go there in that search and you actually go on book for your data. Everybody knows how to search in Google, everybody's searching Internet. So this is part of the data culture, the digital culture. They know how to use those schools. Now, similarly, that data marketplace is, uh, in you can, for example, see which data sources they're mostly used >>and enabling that speed that we're all demanding today during these unprecedented times. Goodwin, I wanted to go to you as we talk about in the spirit of evolution, technology is changing. Talk to us a little bit about Oracle Digital. What are you guys doing there? >>Yeah, Thank you. Um, well, Oracle Digital is a business unit that Oracle EMEA on. We focus on emerging countries as well as low and enterprises in the mid market, in more developed countries and four years ago. This started with the idea to engage digital with our customers. Fear Central helps across EMEA. That means engaging with video, having conference calls, having a wall, a green wall where we stand in front and engage with our customers. No one at that time could have foreseen how this is the situation today, and this helps us to engage with our customers in the way we were already doing and then about my team. The focus of my team is to have early stage conversations with our with our customers on digital transformation and innovation. And we also have a team off industry experts who engaged with our customers and share expertise across EMEA, and we inspire our customers. The outcome of these conversations for Oracle is a deep understanding of our customer needs, which is very important so we can help the customer and for the customer means that we will help them with our technology and our resource is to achieve their goals. >>It's all about outcomes, right? Good Ron. So in terms of automation, what are some of the things Oracle's doing there to help your clients leverage automation to improve agility? So that they can innovate faster, which in these interesting times it's demanded. >>Yeah, thank you. Well, traditionally, Oracle is known for their databases, which have bean innovated year over year. So here's the first lunch on the latest innovation is the autonomous database and autonomous data warehouse. For our customers, this means a reduction in operational costs by 90% with a multi medal converts, database and machine learning based automation for full life cycle management. Our databases self driving. This means we automate database provisioning, tuning and scaling. The database is self securing. This means ultimate data protection and security, and it's self repairing the automates failure, detection fail over and repair. And then the question is for our customers, What does it mean? It means they can focus on their on their business instead off maintaining their infrastructure and their operations. >>That's absolutely critical use if I want to go over to you now. Some of the things that we've talked about, just the massive progression and technology, the evolution of that. But we know that whether we're talking about beta management or digital transformation, a one size fits all approach doesn't work to address the challenges that the business has, um that the i t folks have, as you're looking through the industry with what Santiago told us about first Bank of Nigeria. What are some of the changes that you're seeing that I owe Tahoe seeing throughout the industry? >>Uh, well, Lisa, I think the first way I'd characterize it is to say, the traditional kind of top down approach to data where you have almost a data Policeman who tells you what you can and can't do, just doesn't work anymore. It's too slow. It's too resource intensive. Uh, data management data, governments, digital transformation itself. It has to be collaborative on. There has to be in a personalization to data users. Um, in the environment we find ourselves in. Now, it has to be about enabling self service as well. Um, a one size fits all model when it comes to those things around. Data doesn't work. As Santiago was saying, it needs to be adapted toe how the data is used. Andi, who is using it on in order to do this cos enterprises organizations really need to know their data. They need to understand what data they hold, where it is on what the sensitivity of it is they can then any more agile way apply appropriate controls on access so that people themselves are and groups within businesses are our job and could innovate. Otherwise, everything grinds to a halt, and you risk falling behind your competitors. >>Yeah, that one size fits all term just doesn't apply when you're talking about adaptive and agility. So we heard from Santiago about some of the impact that they're making with First Bank of Nigeria. Used to talk to us about some of the business outcomes that you're seeing other customers make leveraging automation that they could not do >>before it's it's automatically being able to classify terabytes, terabytes of data or even petabytes of data across different sources to find duplicates, which you can then re mediate on. Deletes now, with the capabilities that iota offers on the Oracle offers, you can do things not just where the five times or 10 times improvement, but it actually enables you to do projects for Stop that otherwise would fail or you would just not be able to dio I mean, uh, classifying multi terrible and multi petabytes states across different sources, formats very large volumes of data in many scenarios. You just can't do that manually. I mean, we've worked with government departments on the issues there is expect are the result of fragmented data. There's a lot of different sources. There's lot of different formats and without these newer technologies to address it with automation on machine learning, the project isn't durable. But now it is on that that could lead to a revolution in some of these businesses organizations >>to enable that revolution that there's got to be the right cultural mindset. And one of the when Santiago was talking about folks really kind of adapted that. The thing I always call that getting comfortably uncomfortable. But that's hard for organizations to. The technology is here to enable that. But well, you're talking with customers use. How do you help them build the trust in the confidence that the new technologies and a new approaches can deliver what they need? How do you help drive the kind of a tech in the culture? >>It's really good question is because it can be quite scary. I think the first thing we'd start with is to say, Look, the technology is here with businesses like I Tahoe. Unlike Oracle, it's already arrived. What you need to be comfortable doing is experimenting being agile around it, Andi trying new ways of doing things. Uh, if you don't wanna get less behind that Santiago on the team that fbn are a great example off embracing it, testing it on a small scale on, then scaling up a Toyota, we offer what we call a data health check, which can actually be done very quickly in a matter of a few weeks. So we'll work with a customer. Picky use case, install the application, uh, analyzed data. Drive out Cem Cem quick winds. So we worked in the last few weeks of a large entity energy supplier, and in about 20 days, we were able to give them an accurate understanding of their critical data. Elements apply. Helping apply data protection policies. Minimize copies of the data on work out what data they needed to delete to reduce their infrastructure. Spend eso. It's about experimenting on that small scale, being agile on, then scaling up in a kind of very modern way. >>Great advice. Uh, Santiago, I'd like to go back to Is we kind of look at again that that topic of culture and the need to get that mindset there to facilitate these rapid changes, I want to understand kind of last question for you about how you're doing that from a digital transformation perspective. We know everything is accelerating in 2020. So how are you building resilience into your data architecture and also driving that cultural change that can help everyone in this shift to remote working and a lot of the the digital challenges and changes that we're all going through? >>The new technologies allowed us to discover the dating anyway. Toe flawed and see very quickly Information toe. Have new models off over in the data on giving autonomy to our different data units. Now, from that autonomy, they can then compose an innovator own ways. So for me now, we're talking about resilience because in a way, autonomy and flexibility in a organization in a data structure with platform gives you resilience. The organizations and the business units that I have experienced in the pandemic are working well. Are those that actually because they're not physically present during more in the office, you need to give them their autonomy and let them actually engaged on their own side that do their own job and trust them in a way on as you give them, that they start innovating and they start having a really interesting ideas. So autonomy and flexibility. I think this is a key component off the new infrastructure. But even the new reality that on then it show us that, yes, we used to be very kind off structure, policies, procedures as very important. But now we learn flexibility and adaptability of the same side. Now, when you have that a key, other components of resiliency speed, because people want, you know, to access the data and access it fast and on the site fast, especially changes are changing so quickly nowadays that you need to be ableto do you know, interact. Reiterate with your information to answer your questions. Pretty, um, so technology that allows you toe be flexible iterating on in a very fast job way continue will allow you toe actually be resilient in that way, because you are flexible, you adapt your job and you continue answering questions as they come without having everything, setting a structure that is too hard. We also are a partner off Oracle and Oracle. Embodies is great. They have embedded within the transactional system many algorithms that are allowing us to calculate as the transactions happened. What happened there is that when our customers engaged with algorithms and again without your powers, well, the machine learning that is there for for speeding the automation of how you find your data allows you to create a new alliance with the machine. The machine is their toe, actually, in a way to your best friend to actually have more volume of data calculated faster. In a way, it's cover more variety. I mean, we couldn't hope without being connected to this algorithm on >>that engagement is absolutely critical. Santiago. Thank you for sharing that. I do wanna rap really quickly. Good On one last question for you, Santiago talked about Oracle. You've talked about a little bit. As we look at digital resilience, talk to us a little bit in the last minute about the evolution of Oracle. What you guys were doing there to help your customers get the resilience that they have toe have to be not just survive but thrive. >>Yeah. Oracle has a cloud offering for infrastructure, database, platform service and a complete solutions offered a South on Daz. As Santiago also mentioned, We are using AI across our entire portfolio and by this will help our customers to focus on their business innovation and capitalize on data by enabling new business models. Um, and Oracle has a global conference with our cloud regions. It's massively investing and innovating and expanding their clouds. And by offering clouds as public cloud in our data centers and also as private cloud with clouded customer, we can meet every sovereignty and security requirements. And in this way we help people to see data in new ways. We discover insights and unlock endless possibilities. And and maybe 11 of my takeaways is if I If I speak with customers, I always tell them you better start collecting your data. Now we enable this partners like Iota help us as well. If you collect your data now, you are ready for tomorrow. You can never collect your data backwards, So that is my take away for today. >>You can't collect your data backwards. Excellently, John. Gentlemen, thank you for sharing all of your insights. Very informative conversation in a moment, we'll address the question. Do you know your data? >>Are you interested in test driving the iota Ho platform kick Start the benefits of data automation for your business through the Iota Ho Data Health check program. Ah, flexible, scalable sandbox environment on the cloud of your choice with set up service and support provided by Iota ho. Look time with a data engineer to learn more and see Io Tahoe in action from around the globe. It's the Cube presenting adaptive data governance brought to you by Iota Ho. >>In this next segment, we're gonna be talking to you about getting to know your data. And specifically you're gonna hear from two folks at Io Tahoe. We've got enterprise account execs to be to Davis here, as well as Enterprise Data engineer Patrick Simon. They're gonna be sharing insights and tips and tricks for how you could get to know your data and quickly on. We also want to encourage you to engage with the media and Patrick, use the chat feature to the right, send comments, questions or feedback so you can participate. All right, Patrick Savita, take it away. Alright. >>Thankfully saw great to be here as Lisa mentioned guys, I'm the enterprise account executive here in Ohio. Tahoe you Pat? >>Yeah. Hey, everyone so great to be here. I said my name is Patrick Samit. I'm the enterprise data engineer here in Ohio Tahoe. And we're so excited to be here and talk about this topic as one thing we're really trying to perpetuate is that data is everyone's business. >>So, guys, what patent I got? I've actually had multiple discussions with clients from different organizations with different roles. So we spoke with both your technical and your non technical audience. So while they were interested in different aspects of our platform, we found that what they had in common was they wanted to make data easy to understand and usable. So that comes back. The pats point off to being everybody's business because no matter your role, we're all dependent on data. So what Pan I wanted to do today was wanted to walk you guys through some of those client questions, slash pain points that we're hearing from different industries and different rules and demo how our platform here, like Tahoe, is used for automating Dozier related tasks. So with that said are you ready for the first one, Pat? >>Yeah, Let's do it. >>Great. So I'm gonna put my technical hat on for this one. So I'm a data practitioner. I just started my job. ABC Bank. I have, like, over 100 different data sources. So I have data kept in Data Lakes, legacy data, sources, even the cloud. So my issue is I don't know what those data sources hold. I don't know what data sensitive, and I don't even understand how that data is connected. So how can I saw who help? >>Yeah, I think that's a very common experience many are facing and definitely something I've encountered in my past. Typically, the first step is to catalog the data and then start mapping the relationships between your various data stores. Now, more often than not, this has tackled through numerous meetings and a combination of excel and something similar to video which are too great tools in their own part. But they're very difficult to maintain. Just due to the rate that we are creating data in the modern world. It starts to beg for an idea that can scale with your business needs. And this is where a platform like Io Tahoe becomes so appealing, you can see here visualization of the data relationships created by the I. O. Tahoe service. Now, what is fantastic about this is it's not only laid out in a very human and digestible format in the same action of creating this view, the data catalog was constructed. >>Um so is the data catalog automatically populated? Correct. Okay, so So what I'm using Iota hope at what I'm getting is this complete, unified automated platform without the added cost? Of course. >>Exactly. And that's at the heart of Iota Ho. A great feature with that data catalog is that Iota Ho will also profile your data as it creates the catalog, assigning some meaning to those pesky column underscore ones and custom variable underscore tents. They're always such a joy to deal with. Now, by leveraging this interface, we can start to answer the first part of your question and understand where the core relationships within our data exists. Uh, personally, I'm a big fan of this view, as it really just helps the i b naturally John to these focal points that coincide with these key columns following that train of thought, Let's examine the customer I D column that seems to be at the center of a lot of these relationships. We can see that it's a fairly important column as it's maintaining the relationship between at least three other tables. >>Now you >>notice all the connectors are in this blue color. This means that their system defined relationships. But I hope Tahoe goes that extra mile and actually creates thes orange colored connectors as well. These air ones that are machine learning algorithms have predicted to be relationships on. You can leverage to try and make new and powerful relationships within your data. >>Eso So this is really cool, and I can see how this could be leverage quickly now. What if I added new data sources or your multiple data sources and need toe identify what data sensitive can iota who detect that? >>Yeah, definitely. Within the hotel platform. There, already over 300 pre defined policies such as hip for C, C, P. A and the like one can choose which of these policies to run against their data along for flexibility and efficiency and running the policies that affect organization. >>Okay, so so 300 is an exceptional number. I'll give you that. But what about internal policies that apply to my organization? Is there any ability for me to write custom policies? >>Yeah, that's no issue. And it's something that clients leverage fairly often to utilize this function when simply has to write a rejects that our team has helped many deploy. After that, the custom policy is stored for future use to profile sensitive data. One then selects the data sources they're interested in and select the policies that meet your particular needs. The interface will automatically take your data according to the policies of detects, after which you can review the discoveries confirming or rejecting the tagging. All of these insights are easily exported through the interface. Someone can work these into the action items within your project management systems, and I think this lends to the collaboration as a team can work through the discovery simultaneously, and as each item is confirmed or rejected, they can see it ni instantaneously. All this translates to a confidence that with iota hope, you can be sure you're in compliance. >>So I'm glad you mentioned compliance because that's extremely important to my organization. So what you're saying when I use the eye a Tahoe automated platform, we'd be 90% more compliant that before were other than if you were going to be using a human. >>Yeah, definitely the collaboration and documentation that the Iot Tahoe interface lends itself to really help you build that confidence that your compliance is sound. >>So we're planning a migration. Andi, I have a set of reports I need to migrate. But what I need to know is, uh well, what what data sources? Those report those reports are dependent on. And what's feeding those tables? >>Yeah, it's a fantastic questions to be toe identifying critical data elements, and the interdependencies within the various databases could be a time consuming but vital process and the migration initiative. Luckily, Iota Ho does have an answer, and again, it's presented in a very visual format. >>Eso So what I'm looking at here is my entire day landscape. >>Yes, exactly. >>Let's say I add another data source. I can still see that unified 3 60 view. >>Yeah, One future that is particularly helpful is the ability to add data sources after the data lineage. Discovery has finished alone for the flexibility and scope necessary for any data migration project. If you only need need to select a few databases or your entirety, this service will provide the answers. You're looking for things. Visual representation of the connectivity makes the identification of critical data elements a simple matter. The connections air driven by both system defined flows as well as those predicted by our algorithms, the confidence of which, uh, can actually be customized to make sure that they're meeting the needs of the initiative that you have in place. This also provides tabular output in case you needed for your own internal documentation or for your action items, which we can see right here. Uh, in this interface, you can actually also confirm or deny the pair rejection the pair directions, allowing to make sure that the data is as accurate as possible. Does that help with your data lineage needs? >>Definitely. So So, Pat, My next big question here is So now I know a little bit about my data. How do I know I can trust >>it? So >>what I'm interested in knowing, really is is it in a fit state for me to use it? Is it accurate? Does it conform to the right format? >>Yeah, that's a great question. And I think that is a pain point felt across the board, be it by data practitioners or data consumers alike. Another service that I owe Tahoe provides is the ability to write custom data quality rules and understand how well the data pertains to these rules. This dashboard gives a unified view of the strength of these rules, and your dad is overall quality. >>Okay, so Pat s o on on the accuracy scores there. So if my marketing team needs to run, a campaign can read dependent those accuracy scores to know what what tables have quality data to use for our marketing campaign. >>Yeah, this view would allow you to understand your overall accuracy as well as dive into the minutia to see which data elements are of the highest quality. So for that marketing campaign, if you need everything in a strong form, you'll be able to see very quickly with these high level numbers. But if you're only dependent on a few columns to get that information out the door, you can find that within this view, eso >>you >>no longer have to rely on reports about reports, but instead just come to this one platform to help drive conversations between stakeholders and data practitioners. >>So I get now the value of IATA who brings by automatically capturing all those technical metadata from sources. But how do we match that with the business glossary? >>Yeah, within the same data quality service that we just reviewed, one can actually add business rules detailing the definitions and the business domains that these fall into. What's more is that the data quality rules were just looking at can then be tied into these definitions. Allowing insight into the strength of these business rules is this service that empowers stakeholders across the business to be involved with the data life cycle and take ownership over the rules that fall within their domain. >>Okay, >>so those custom rules can I apply that across data sources? >>Yeah, you could bring in as many data sources as you need, so long as you could tie them to that unified definition. >>Okay, great. Thanks so much bad. And we just want to quickly say to everyone working in data, we understand your pain, so please feel free to reach out to us. we are Website the chapel. Oh, Arlington. And let's get a conversation started on how iota Who can help you guys automate all those manual task to help save you time and money. Thank you. Thank >>you. Your Honor, >>if I could ask you one quick question, how do you advise customers? You just walk in this great example this banking example that you instantly to talk through. How do you advise customers get started? >>Yeah, I think the number one thing that customers could do to get started with our platform is to just run the tag discovery and build up that data catalog. It lends itself very quickly to the other needs you might have, such as thes quality rules. A swell is identifying those kind of tricky columns that might exist in your data. Those custom variable underscore tens I mentioned before >>last questions to be to anything to add to what Pat just described as a starting place. >>I'm no, I think actually passed something that pretty well, I mean, just just by automating all those manual task. I mean, it definitely can save your company a lot of time and money, so we we encourage you just reach out to us. Let's get that conversation >>started. Excellent. So, Pete and Pat, thank you so much. We hope you have learned a lot from these folks about how to get to know your data. Make sure that it's quality, something you can maximize the value of it. Thanks >>for watching. Thanks again, Lisa, for that very insightful and useful deep dive into the world of adaptive data governance with Iota Ho Oracle First Bank of Nigeria This is Dave a lot You won't wanna mess Iota, whose fifth episode in the data automation Siri's in that we'll talk to experts from Red Hat and Happiest Minds about their best practices for managing data across hybrid cloud Inter Cloud multi Cloud I T environment So market calendar for Wednesday, January 27th That's Episode five. You're watching the Cube Global Leader digital event technique

Published Date : Dec 10 2020

SUMMARY :

adaptive data governance brought to you by Iota Ho. Gentlemen, it's great to have you on the program. Lisa is good to be back. Great. Listen, we're gonna start with you. But to really try to address these customer concerns because, you know, we wanna we So it's exciting a J from the CEO's level. It's real satisfying to see how we're able. Let's let's go back over to you. But they need to understand what kind of data they have, what shape it's in what's dependent lot of a lot of frameworks these days are hardwired, so you can set up a set It's the technical metadata coming together with policies Is this book enterprise companies are doing now? help the organizations to digest their data is to And if it was me eating that food with you guys, I would be not using chopsticks. So if you look at the challenges for these data professionals, you know, they're either on a journey to the cloud. Well, as she digs into the databases, she starts to see that So a J talk us through some examples of where But I think it helped do this Bring it to life a little bit. And one of the things I was thinking when you were talking through some We can see that on the the graphic that we've just How are you seeing those technologies being think you know this But the very first step is understanding what you have in normalizing that So if I start to see this pattern of date one day to elsewhere, I'm going to say, in the beginning about what you guys were doing with Oracle. So Oracle came to us and said, you know, we can see things changing in 2021 a. J. Lester thank you so much for joining me on this segment Thank you. is the Cube, your global leader in high tech coverage. Enjoy the best this community has to offer on the Cube, Gentlemen, it's great to have you joining us in this in this panel. Can you talk to the audience a little bit about the first Bank of One of the oldest ignored the old in Africa because of the history And how does it help the first Bank of Nigeria to be able to innovate faster with the point, we have new technologies that allow you to do this method data So one of the things that you just said Santa kind of struck me to enable the users to be adaptive. Now it changed the reality, so they needed to adapt. I wanted to go to you as we talk about in the spirit of evolution, technology is changing. customer and for the customer means that we will help them with our technology and our resource is to achieve doing there to help your clients leverage automation to improve agility? So here's the first lunch on the latest innovation Some of the things that we've talked about, Otherwise, everything grinds to a halt, and you risk falling behind your competitors. Used to talk to us about some of the business outcomes that you're seeing other customers make leveraging automation different sources to find duplicates, which you can then re And one of the when Santiago was talking about folks really kind of adapted that. Minimize copies of the data can help everyone in this shift to remote working and a lot of the the and on the site fast, especially changes are changing so quickly nowadays that you need to be What you guys were doing there to help your customers I always tell them you better start collecting your data. Gentlemen, thank you for sharing all of your insights. adaptive data governance brought to you by Iota Ho. In this next segment, we're gonna be talking to you about getting to know your data. Thankfully saw great to be here as Lisa mentioned guys, I'm the enterprise account executive here in Ohio. I'm the enterprise data engineer here in Ohio Tahoe. So with that said are you ready for the first one, Pat? So I have data kept in Data Lakes, legacy data, sources, even the cloud. Typically, the first step is to catalog the data and then start mapping the relationships Um so is the data catalog automatically populated? i b naturally John to these focal points that coincide with these key columns following These air ones that are machine learning algorithms have predicted to be relationships Eso So this is really cool, and I can see how this could be leverage quickly now. such as hip for C, C, P. A and the like one can choose which of these policies policies that apply to my organization? And it's something that clients leverage fairly often to utilize this So I'm glad you mentioned compliance because that's extremely important to my organization. interface lends itself to really help you build that confidence that your compliance is Andi, I have a set of reports I need to migrate. Yeah, it's a fantastic questions to be toe identifying critical data elements, I can still see that unified 3 60 view. Yeah, One future that is particularly helpful is the ability to add data sources after So now I know a little bit about my data. the data pertains to these rules. So if my marketing team needs to run, a campaign can read dependent those accuracy scores to know what the minutia to see which data elements are of the highest quality. no longer have to rely on reports about reports, but instead just come to this one So I get now the value of IATA who brings by automatically capturing all those technical to be involved with the data life cycle and take ownership over the rules that fall within their domain. Yeah, you could bring in as many data sources as you need, so long as you could manual task to help save you time and money. you. this banking example that you instantly to talk through. Yeah, I think the number one thing that customers could do to get started with our so we we encourage you just reach out to us. folks about how to get to know your data. into the world of adaptive data governance with Iota Ho Oracle First Bank of Nigeria

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Kate Goodall, Halcyon | AWS Public Sector Summit Online


 

>>from around the globe. It's the Q with digital coverage of AWS Public sector online brought to you by Amazon Web services. Welcome back to the cubes. Virtual coverage of AWS Amazon Web services published. Public Sector Summit Online I'm John for your host with a great Gas Cube alumni Kate Goodall, Healthy in co founder and CEO, also known as the Halsey in house in the D C area. Kate, great to see you. Thanks for coming on. Virtually >>you, too. Thanks for having me, John. >>We can't be there in person. Normally, we're in person by rain going to these events. We can't do it this year because of Cove in the Pandemic. But this topic that I'm proud to talk to you about is Bahrain Women intensive program and just diversity in the global tech scene in general. So first tell us what's going on with the 2021 by Rain. Women's initiative Intensive initiative. >>Yeah, absolutely. As you know, Housing Incubator has been running for about seven years now. We've welcomed during that time over 150 entrepreneurs through a full time fellowship program which you were there, John, you saw, you know It is a really unique program that includes residents in a ah house in Georgetown s O that people really get to sort of former community. But the full time residential program isn't the right fit preneurs. So we also offer these intensive housing incubator programs for early stage social entrepreneurs from different parts of the world in different industries and sectors. Um, a W s been an amazing partner both for the full time fellowship program on for many of these intensive, including one that was focused earlier this year on entrepreneurs, an opportunity zones in our very own city. Um, but this new intensive partnership is designed specifically to support tech oriented social enterprise startups that are founded by women and based in Bahrain s. So it's It's really nicely at this intersection of calcium goal off supporting entrepreneurs who are often underserved or underrepresented. And AWS is very clearly stated goal of diversifying leadership in tech. >>I was there last year in person Bahrain, and, uh, I went to the women's diversity um, breakfast and I'm like, This is exciting and I had to give up my seat. There was so many people, there was high demand eso I >>wanna >>ask you what >>is >>this program hoping to achieve the intensive initiative? >>Yeah. I mean, there's certain things that we're always seeking to achieve in supporting and serving sort of the brightest minds and the best ideas in social enterprise. On in many ways, this one is no different. Um, but we're really looking Thio Thio, find some incredible startups in Bahrain. Um, applications for the program start today. Andi will be measuring. You know, the success of the program on a number of factors, Aziz, we always do. You know, ultimately, it's the number of jobs that get created theme the quality and quantity of the impact of the startups Onda And ultimately, you know, revenue and dollars raised all of the things that you would measure a successful business by, um uh, s so we're just really excited to find some incredible ventures that fit really well in this in the selection criteria. Andi, we'll be looking thio. Everyone's help spread the word about this great opportunity. >>Congratulations on your new program. I wanna ask you specifically, if you could give some examples of the kinds of startups you're hoping to attract, so as you look at the candidates. What's gonna be the criteria you mentioned is a criteria What jumps off the page in your mind. >>Yeah. So we want people that really understand that. Why, you know, why are they starting that business on bond? Ideally, people that have a really good idea for a rapidly scaling tech startup that also has a double bottom line attached to it. So something whereby the business models succeeds and scales and achieves eso to with the impact that is inherent in that in that model, you know, some some examples from just passed cohorts at healthy. And, you know, we've had most recently, um, incredible entrepreneur that came out off the US prison system and was really interested in reducing recidivism and worked on a tech startup that allows families to communicate with incarcerated loved ones where through a tech platform where you can convert your text to a loved one into a postcard that then could be sent into the system because obviously people aren't allowed to communicate through cell phones when they're incarcerated s Oh, that's a good example of something where you know the profit and impact really scale themselves. Um, you know, similarly from just this. You know, recent cohorts, we had a, uh, founder who herself suffered from pulmonary pulmonary hypertension. And she created a really great wearable device that can attach to your ear. Looks just like an earring. It's quite fashionable, actually. I want one. And, um, it lets you know how your oxygen level is because she just didn't have access to something that was that easy and wearable, but needed to monitor her oxygen level. Turns out, that's actually really, ah, useful piece of technology during covert. So, you know, we're looking for people that are thinking about healthcare, thinking about the environment, thinking about education on decree, ating a sustainable business model that that will help them to scale that idea. >>I wanna get into the whole social entrepreneurship conversation. It's really great when I wanna unpack that, But let's stay on this program. Um, it's super exciting. How do people get involved? It's open, but there's some criteria. Um, you mentioned startups. You're looking for changing world double Bottom line. How do people get involved? >>Really excited. You asked that because I you know, I have some people that are watching can help us um certainly, uh, going to the home page of our website housing house dot or GTA. If anyone knows any great social entrepreneurs in Bahrain, please let them know and help us spread the word. Really happy to be working with AWS and startup Borane to do so. But we we want to, you know, make it as far and wide as possible. So both for people that are interested in applying to the program and also people that are interested in helping because we always pull together a vast network of mentors and advisors and investors to really make the programmers robustas possible, they should I would encourage everyone to reach out and get in touch either through the website or, uh at housing inspires on Social Media said that our team can get back to you >>for the question is how, um What? How will the selection process work and when will they be >>partnering with AWS and start up by rain? Thio select the best start up ventures. They'll be notified in December on by The program will begin virtually in January. >>And what are the winners get? They get money. Do they get mentoring? What can you talk >>about package, so every in computer program is a little bit different. But generally they all get, uh, some serious training and assigned mentor a specific skill. Siri's that's bespoke to that intensive, and those founders needs. But more than likely, this one will include, as as they all do, you know ways to plan Thio, acquire customers ways to improve your business model and make good projections ways to think about investment and how to understand. Um, investment bond, get investment should you need thio eso. It'll have all of that along with marketing and branding and how to measure impact. But then also some bespoke things. You know, once we know exactly what the founders needs are on but then very bespoke advisors and mentors in accordance with those needs >>and really nurturing that start up in that project to getting some traction, then hopefully track into some funding vehicles. I imagine right? >>Absolutely, absolutely, and access to D. C. S. You know, great landscape when it comes to this kind of thing, both in terms of sort of three institutions that air here and the investment that is here on do all of them will also, of course, receive a ws cloud computing credits and technical support, which we found to be profoundly helpful for all of our, um, tech startups or tech enabled startups. >>Yeah, I think that's one of the things that people don't realize that some free credits out there as well take advantage of those That's awesome. And I love how this ecosystem nurturing here. When I was in Bahrain, I noticed that very young demographics changing demographics. Diversity is huge. But like here in North America and all around the world, the lack of diversity in the tech sector has been a big conversation is always happening. Thes, impact driven businesses actually consult two things you're doing. A program that impacts the diversity as well as solves the problem for diversity. Talking about double Bottom line. Can you talk about this diversity? >>Yeah, absolutely. I mean, e think you know, it's interesting because we all know that diverse teams out perform. We all understand the imperative to do that, but you're right, it's it's not just a US problem or Bahrain problem. It's a global problem, you know. And I think one of the ways to solve it is to go early because we know that women founders and founders of color and other marginalized founders, you know, start businesses roughly at the same rate. But they generally don't grow as big, and they don't, um, uh often get us much investment. In fact, the investment numbers are quite stark. In terms of who receives venture capital eso. We know that there's a lot left to disrupt, but we also know that if we're going to solve the problems that we all face right now that we need the whole population involved in solving it. So we're really interested in in in creating a much better ecosystem everywhere for for women. Founders on DWI know that that requires the support of everyone, regardless of gender and background and lived experience. Eso it is it is an imperative. But it's also a tremendous opportunity, you know, to get more people involved on Bahrain's got some incredible women and some great, uh, resource is and pieces of the ecosystem already in place. Thio, I think really be a leader in this area. >>Yes. Start up our rain to you mentioned that they have a great program. They're they're really there to help the entrepreneur, and I think the key here and I want to get your reaction to this is that not only is that important to get off the ground and having someone to be around and being a community that fosters the kind of innovation, thinking and getting started, great. But you've had a very successful program. The Halsey in house housing house dot org's as you mentioned, the u R L. You've had success, but you've been physically in D. C. What have you learned from the house? Your house success that you're applying that could be applied for others? Toe learn. >>Yeah, there's there's a lot to unpack there. I mean, we've had a Zai mentioned about 150 you know, Fellows come through our doors and they've gone on to create over 1800 jobs around the world. Received $150 million in funding, which for early stage social social ventures is a really good mark of success. Andi have gone on to impact the lives of more than 2.5 million people around the world, so I hope that this program is that you know will be able to help empower these founders, um, in Bahrain to do exactly those things and to be able to scale the adventures to create that impact. You know, we've learned a lot about you know what these startups need. Um, you know, that goes beyond just sort of the the office space and sort of traditional incubator offerings that they need a really strong community around them to celebrate their successes and also to help them with their lows. Entrepreneurship is a very rocky journey, and so that community becomes really, really important. Eso we know a lot about building, you know, supportive, nurturing community. We also know that you know, women when they go to get investment, are going to receive 70% mawr prevention questions. And this is even from women venture capitalists, right? They just venture capitalists are creatures of habit, and they generally will just look at the patterns, successes and trends that they've had and repeat those. So they're going to be looking for the same types of people. Are they funded in the past, which are traditionally young white males and eso? We know that just by virtue of the system that we all live in on DWhite. It's implanted in all of us that women are going to receive more questions about the risk of their business many, many more than they will about the opportunity. So how do we train women for that landscape? You know, how do we train them to answer the questions about the risk realistically and fairly but pivot so that they get the same opportunities as a male entrepreneur, perhaps to answer questions about the ceiling as well as the floor. >>Yeah, and addresses trade up and understand the criteria and having that confidence. And I think that the great news is that we're all changing and we're all open to it. And there's more funds now like this and your >>leadership. E love that point, John. I think, you know, I think that everyone's eyes are open right, and I can say that sort of it with a really strong sense of conviction. That, like 2020 is is a great year for acknowledging this problem and for I think a lot of joint motivation to really properly address it. So I'm actually feeling really optimistic about it, >>and we're at a cultural crossroads. Everyone kind of knows that you're seeing it play out on the big stage of the world on again. Your leadership has been doing this, and I want to get your thoughts on this because you mentioned entrepreneurship, the ups and downs. Some call it a rollercoaster highs and lows. You have great days, and you have really, really bad days. And it's even compounded when you're not in the pattern matching world of what people are seeing. If you're a woman or under verse, a minority or group, I gotta ask you the question around mental health because one of the things, especially with co vid, is having that community. Because the ups and downs swings are important that people maintain their confidence, and mentors and community add value there. Can you talk about that important piece of the equation because it's it plays a big role, often not talked about much? Um, it is tough now more than ever than ever before, but still not enough. This community there, it's >>having support. We can, you know, we talk about it a lot of healthy and what people need to prioritize their mental health as they grow a business. And ultimately, if you're not doing a good job of that. Your business will not succeed because your team would be healthy and you're just it compounds. Um, so it's really imperative. And it does take a toll on founders on entrepreneurs, I think in in higher degrees. And it does in the general population because a small crack can become a chasm if people are not careful. Andi, everyone knows even if you're super passionate about something, putting in 20 hours a day, every day continuously is eventually going to catch up with you, right? So you have to create healthy habits from the beginning for you and your team on board. And certainly during covert we've seen some of those things exacerbated due to isolation. So that community peace becomes really, really important. I don't think she would mind me saying so. I'm going Thio mention that one of our previous entrepreneurs and Yang brilliant, brilliant woman actually did a great piece. Uh, you can just google and Yang entrepreneur depression, mental health and and it will come up for you, but just a really candid expose on what it is like. Thio be an entrepreneur that perhaps struggles with with mental health >>Yeah, it's super important. And I gotta say, I really love your work. I've always been an admirer of the Halsey in Mission and the people behind it, the halcyon house. And now you're taking it to buy rain under with an intensive kind of program. It's a global landscape. Final word, Kate. What should people know about this program? Summarize it real quick. >>We're just super happy to be reaching out and supporting a greater number off talented founders from the Middle East with Although Bahrain on our partners started, Borane and AWS have to offer. You know, we we love to expand our work to serve more and more entrepreneurs. And we couldn't be more excited to support these women. >>We're an upward better time now than ever. It's gonna be a big change happening. Big cultural change. Your part of it. Thank you for joining me. >>Thank you, John. >>Great to see you >>really appreciate it. >>Thank you. I'm John for your here. The cube. Virtual covering A W s public sector online. Thanks for watching

Published Date : Oct 20 2020

SUMMARY :

AWS Public sector online brought to you by Amazon Thanks for having me, John. I'm proud to talk to you about is Bahrain Women intensive program and just diversity in Georgetown s O that people really get to sort of former community. breakfast and I'm like, This is exciting and I had to give up my seat. you know, revenue and dollars raised all of the things that you would measure a successful business by, I wanna ask you specifically, if you could give some examples of the kinds impact that is inherent in that in that model, you know, Um, you mentioned startups. Media said that our team can get back to you Thio select the best start up What can you talk you know ways to plan Thio, acquire customers ways to improve your and really nurturing that start up in that project to getting some traction, that air here and the investment that is here on do all of them will also, of course, A program that impacts the diversity I mean, e think you know, it's interesting because we all only is that important to get off the ground and having someone to be around and being a community that fosters so I hope that this program is that you know will be able to help empower these founders, And there's more funds now like this and your I think, you know, I think that everyone's and you have really, really bad days. So you have to create healthy habits from the beginning for you and your team on in Mission and the people behind it, the halcyon house. talented founders from the Middle East with Although Bahrain on Thank you for joining me. I'm John for your here.

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Ian McCrae, Orion Health | AWS Public Sector Summit Online


 

>> Announcer: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Online, brought to you by Amazon Web Services. >> Everyone welcome back to theCUBE's coverage virtually of the AWS, Amazon Web Services, Public Sector Summit Online. Normally we're face to face in Bahrain or Asia Pacific, or even down in New Zealand and Australia, but we have to do it remotely. I'm John Furrier host of theCUBE, we've got a great segment here with a great guest, Ian McCrae, Founder and CEO of Orion Health, talking about the Global Healthcare Industry with Cloud Technology because now more than ever, we all know what it looks like, before COVID and after COVID, has upending the health care business, we're seeing it play out in real time, a lot of great benefits to technology. Ian, thank you for coming remotely from New Zealand and we're here in Palo Alto, California, thank you for joining me. >> Thank you for the invitation. >> You're the Founder and CEO of Orion Health global, award-winning provider of health information technology, supports the delivery of optimized healthcare throughout New Zealand, but now more than ever around the world, congratulations. But now COVID has hit, what is the impact of COVID because this is changing healthcare for the better and speed agility, is the services up to snuff, is it up to par? What is the situation of the post-COVID or the current COVID and then what we'll post-COVID look like for healthcare, what's your opinion? >> So, sir, I've never seen such a dramatic change in such a short time, as has happened over the last nine to 10 months. And you know what we're seeing is before COVID, a lot of focus on automating hospitals, probably primary care, et cetera, now all the focus is on putting medical records together, digital front doors giving patients access to their medical records, and much of the same way you have access to your bank records, when you travel you go into well, we don't travel now actually, but when you go into the lounges, the airline apps are very, very user friendly and the healthcare sector has been a laggard on this area, that's all about to change. And patients will be wanting, they don't want to go when they're feeling ill, they don't want to go down to their local physician practice because, well, there are other sick people there, they want to get the right care, at the right time, and the right place. And usually when they're not feeling well, they want to go online, probably symptom checking, if they need to have a consult they would like to do it there and then and not two or three days later, and they'd like to it virtually, and you know, there are definitely some things that can be done remotely and that's what people want. >> One of the things that comes up in all my interviews around innovation and certainly around AWS and cloud is the speed of innovation, and we were talking before we came on camera about I'm in Palo Alto, California, you're in Auckland, New Zealand, I don't have to fly there, although it's been quarantined for 14 days in New Zealand and summer is coming. but we can get remote services, we're talking and sharing knowledge right now. And when you were also talking before we went on about how healthcare is taking a trajectory similar to the financial industry, you saw our ATM machines, what an innovation, self service, then you got apps and then, you know, the rest is history just connect the dots. The same kind of thing is happening in healthcare, can you share your vision of how you see this playing out, why is it so successful, what are some of the things that need to be worked on and how does cloud bring it all together? >> Just on the banking front, I haven't been to the bank for many years because I understood all online, I had to go to the bank the other day, it was a novel experience. But you know I have a lot of, when I discussed with our developers and they say, well what are the requirements, I said, well, hold on, you're a patient you know what you want, you want your medical record pulled together, right, you want everything there, you can have easy access to it, perhaps you might like the computer to make some suggestions to you, it may want to give you warnings and alerts. And you know what we're also getting is a lot more data, and historically a medical record will be your lab, your radiology, your pharmacy, few procedures, maybe, but what we're getting now is genomic data getting added to its social determinants, where do you live, where do you work, behavioral and lots of other things are getting entered onto the medical record and it is going to get big. Oh, actually I forgot device data as well, all sorts of data. Now, within that vast amount of data, there will be signals that can be picked up, not by humans, but by machine learning and we need to pick the right suggestions that I give them back to the patients themselves, or the circle of care, be it their doctors, physicians, or maybe their family. So the picture I'm trying to paint here is health is going to, historically it's been all seated around physicians and hospitals, and it's all about to change. And it's going to happen quickly, you know normally health is very slow, it's a leg out it takes forever and forever to change, what we're seeing right across the world, I'm talking from Europe, Middle East, Asia, the North America, right across the world, the big health systems looking to provide firm or far richer services to their populations. >> Big joke in Silicon Valley used to be about a decade ago when big data was hitting the scene, we have the smartest data engineers, working on how to make an ad, be placed next to for you and on a page, which in concept is actually technically a challenge, you know, getting the right contextual, relevant piece of information in front of you, I guess it's smart. But if you take that construct to say medicine, you have precision needs, you also have contextual needs so if I need to get a physician, why not do virtually? If that gives me faster care, I got knowledge based system behind it, but if I want precision, I then can come in and it's much efficient, much more efficient. Can you share how the data, 'cause machine learning is a big part of it and machine learning is a consumer of data too, not just users, you're consuming data, but the results are still the same, how are you seeing that translate into value? >> I think the first thing is that if you can treat patients earlier more accurately, you can ultimately keep them healthier and using less health resources. And, you know, you notice around the world, different health systems take a different approach. The most interesting approach we see is when a payer also happens to own the hospitals, their approach changes dramatically and they start pouring a lot of money into primary care so they have to have less hospital beds, but, with data information, you can be more precise in the way you treat the patient. So I've had my genome done, probably quite a few times actually, I just one of the care pair, the different providers so I have avian called CYP2C19, I'm pretty sure I've got it right, and that means I hyper metabolize suite on drugs, so you give them to me they won't work. And so there's information in our medical records, with machine-learning, if you can keep a Tesla on the road, we must be able to use the same, in fact we're, we have a very big machine learning project here on this company, and to not only get the information out of the medical records but save it back up, this is the hard part, save it back up to the providers, and to the patients in a meaningful useful way, an actionable way, not too much, not too little and that's usually the challenge, actually. >> You're a customer in your business, and you guys are in New Zealand, but it's global, you've a global footprint, how are you leveraging cloud technology to address your customers? >> It's usually useful because we end up with one target platform so when we come to deploy in any part of the world, it's the same platform. And you know from a security point of view, if we're trying to secure all these on-prem installations, it's very, very hard so we have a lot of security features that are provided for us, there are lots of infrastructure tooling, deployment and monitoring all the stuff is just inherent within the cloud and I guess what's most important we have a standard platform that we can target right across the world. >> And you're using Amazon Web Services, I mean, I'd imagine that as you go outside and look at the edge, as you have to have these secure edge points where you're serving clients, that's important, how're you securing that edge? >> Well, fortunately for us as Amazon is increasingly getting right across the world so there are still some regions which, this tool are working on, but over time, we would be expecting officially every country in the world to have all sorts of services available. >> You see the future of health care going from your standpoint, I mean, if you had to throw a projectile in the future to say, you know, five years from now, where are we on the progress and innovation wave, how do you see that Ian, playing out? >> So, certainly last 30 years, we've had various ways of innovation on healthcare, I think this pandemic is going to transform healthcare in such a major way in such a short time, and we'll see it totally transform within two to four years. And the transformation will be just like your bank, your airline, or lots of other buying stuff actually via Amazon actually, we'll see that sort of transformation of healthcare. We have talked a lot about healthcare, historically being patient centric, it is really not true, our healthcare today and most parts of the world has been geared around the various healthcare facilities, so this change we're going to see now, it'll be geared around the patients themselves, which is really intriguing but exciting. >> Position, I want to get my genome done, you've reminded me, I got to get that done. >> Finding that out, you know, you know--- >> I want to know, (laughs) I want to kind of know in advance, so I can either go down the planes, have a good time or low the loam games. >> I find out I had the positivity gene, you know, I kind of knew that and you know, I'm the fairly positive individual, so (laughs). >> Yeah, well, so as you I'm going to get my, I've to go through that process. But you know, again, fundamentally, you know that I agree this industry is going to be right for change, I remember the old debates on HIPAA and having silos, and so the data protection was a big part of that business and privacy as a huge, but one area, I'll get to that in a second, but the one area I want to touch on first is that really an important one, for everyone around the world is how does technology help people, everywhere get access to healthcare? How do you see that unless there's one approach that the government do it all, some people like that, some people don't, but generally speaking technology should help you, what's your view on how technology helps us, get accessible healthcare? >> What it means no matter where you live or what you do, most people have access to the internet either via our phone or a computer. And so what you want to be able to do, what we need to do, as a society, is give everybody access, just like they have access to their banking records, have a similar access to their medical records. And again, you know, the standard features, you know, symptom checking for patients who have chronic conditions, advice, help, medication charts are really important, the ability to go online and do internet consult or the conditions that don't require a physical examination, be able to message your circle of care, it's basically the automation of healthcare, which, you know, sadly has legged other industries. >> It is a critical point, you mentioned that early, I want to get back on the date and we'll get to privacy right after. You mentioned AI and machine learning, obviously it's a huge part of it, having data models that are intelligent, I know I've covered Amazon SageMaker and a bunch of other stuff they're working on, so they're getting smarter and they're doing it by industry, which I think is smart. But I want to ask you about data, I was just having a conversation this morning with a colleague, and we hear about AI and AI and machine learning, they're consumers too, (chuckles) so if machines are going to automate humans, which they are, the machines are consuming data so the machine learning is now a consumer, not just a technology. So when you're consuming data, you got to have a good approach. You guys are doing a lot with data, how should people think about machine learning and data, because if you believe that machine learning will assist humans, then machines are going to talk to other machines and consume data, and create insights, et cetera, and spoil another systematic effects. How should people think about data who are in healthcare, what's your insight there? >> Well, the tricky thing with machine learning and healthcare is not so much the algorithms, the algorithms are readily available on Amazon and elsewhere, and the big problem that we have found, and we've been working on this for some time and have a lot of people working on it, the big problem we have is first of all marshaling, getting all the data together, wrangling the data, so and then there's a fun part where run the algorithms and then the next big problem is getting the results back into the clinical workflow. So we spent all our time upstream and downstream and a bit in the middle, which is the fun bit, takes a very small amount of time. And so it's probably the hardest part is getting it back into the clinical workflow, that's the hardest part, really, it's really difficult. >> You know, I really appreciate what you do, I think this is going to be the beginning of a big wave of innovation, I was talking with Max Peterson about some areas where they saw, you know, thousands and thousands of people being cared, that they never would have been cared for virtually with the systems and then cloud. Again, just the beginning, and I think this is a reconfiguration of the healthcare value chain and--- >> Configuration, I mean, at pre-COVID we as a company spend so much time on planes, traveling all over the world, I've hardly traveled this year and zoom and all the other technologies, I've quite enjoyed it to be fair. So, and I think that there's a reconfiguration of how business is done, it's started to happen in healthcare and--- >> If tell my wife, I'm coming to New Zealand, I get quarantined for 14 days. >> That's right. >> Yeah, I'm stuck down under summertime. >> You get one of those hotels with the view of the Harbor, very nice. >> And final question and just close it out here in the segments, I think this is super important, you mentioned at the top, COVID has upended the healthcare industry, remote health is what people want, whether it's for, you know, not to being around other sick people, or for convenience, or for just access. This is a game changer, you got iWatches now, I was just watching Apple discuss some of the new technologies and processes that they have in these things for heartbeat, so, you know how this signals. This is absolutely going to be a game changer, software needs to be written, it has to be so far defined, cloud is going to be at the center of it. What's your final assessment, share your partying thoughts? >> We are definitely, in a major reconfiguration of healthcare that's going to happen very quickly, I would've thought that 24 months, maybe no more than 36 and what we're going to end up with is a health system, just like your bank and the big challenge for our sector is first of all, the large amounts of data, how do you store it, where do you store, and the cloud is ideal place to do it, then how do you make sense of it, you know, how do you give just the right advice to an elderly patient versus a millennial who is very technology aware? So these, there's lots of innovation and problems to be solved and lots of opportunities I believe for startups and new innovative companies, and so it's interesting times. >> I think time's short, you know, it's just so much to do, great recruitment opportunity in Orion Health. Thank you for spending time, Ian McCrae, Founder and CEO of Orion health, an award winning provider of health information global based out of New Zealand, thank you for taking the time to come on, appreciate it. >> Thank you. >> Okay, I'm John Furrier with theCUBE coverage of AWS Public Sector Summit Online. We're not face to face, normally we'd be in person, but we're doing it remotely due to the pandemic, thank you for watching theCUBE. (soft upbeat music)

Published Date : Oct 20 2020

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brought to you by Amazon Web Services. of the AWS, Amazon Web Services, is the services up to and much of the same way you have access and then, you know, the rest is history and it's all about to change. be placed next to for you and on a page, in the way you treat the patient. in any part of the world, in the world to have all and most parts of the world got to get that done. so I can either go down the planes, I kind of knew that and you know, but the one area I want to touch on first the ability to go online But I want to ask you about data, and a bit in the middle, I think this is going to be the beginning and all the other technologies, coming to New Zealand, with the view of the Harbor, very nice. in the segments, I think and the cloud is ideal place to do it, I think time's short, you know, thank you for watching theCUBE.

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Alex Bennett, NTT | Upgrade 2020 The NTT Research Summit


 

>> Narrator: From around the globe, It's theCUBE! Covering the Upgrade 2020, the NTT Research Summit presented by NTT Research. >> Hey, welcome back everybody, Jeff Frick here with theCUBE. Welcome back to our ongoing coverage of Upgrade 2020. It's the NTT Research Summit covering a lot of really deep topics around a lot of the basic core research that NTT is sponsoring. Kind of like the old days of Mobell or some of the other kind of core research. And we're excited to have our next guest to go. A little bit beyond the core research and actually talk about working with people today. So we'd like to welcome in Alex Bennett. He is the global senior vice president of the intelligent workplace for NTT. Alex, good morning? >> Good morning, Jeff. How are you doing. >> Terrific. So I think for a lot of people, you know, probably know the NTT name, certainly in the States, but are not familiar with, I think, you know, the degree of which you guys have this huge business around services and workplace collaboration, I wonder if you can give us kind of a high level summary of the services angle at NTT, you know, beyond just putting in communications infrastructure equipment. >> Yeah, definitely. I mean, the NTT, as you said, is it's a huge organization, Very well known in Japan and growing in last year that we brought together about 32 different brands under the entity limited brand and we have NTT data services as well. So our role is really to look at the client requirements, the business needs that they have and be able to provide end to end solutions and wrap them with our services to make sure they've got, you know, efficiency gains, but also improving employee experience and experience around, you know, improving how they connect to their customers as well. >> Right, right. So obviously COVID-19, what was, you know, kind of a light switch moment back in March has now turned into, you know, kind of an ongoing, a new normal here we are six months plus into this, into this thing, really no end in sight in the immediate term. So, you know, people were thrown into the situation where work from home, work from anywhere had to happen with no prep. You've been in the business for a long time working on solutions. So there's the obvious things like security and access, but what are some of the less obvious things that people should be thinking about when they think about supporting their employees that are not now coming into the office? >> Well, I mean, it's been interesting, right. I said I have been in the sector for a long time and a lot of the themes have been the same for the last 10, 15 years, you know, how do we improve employee experience? How do we start to look at things like wellbeing? You know, how does it have an impact on productivity? And how do you make sure that we make it simple for people to carry out their tasks? Now, something I get asked a lot is this idea of how do we make it frictionless? A lot of the time, people don't really care about the brand or the technology. They just want to be able to carry out their role from whatever industry sector they aren't doing it efficiently and do it well, but also to be able to interact. I think it's been really important. And this pandemic has brought about this view, that people haven't been able to socialize in the same way they have in the past and work is really about people, you know, the workplace is also about people and how you connect those people into customers and provide efficiencies in that area. So the conversations I've been having in the last, you know, six to seven months, it's been quite interesting that the programs they were taking 18 months, 24 months, 36 months over, have had to be accelerated and really deployed in about three months. And then that's brought about the lows of operation on policy concerns. So as you mentioned, as you start to have this new, what we're calling, you know, distributed workforce, especially those organizations which have been perhaps more enterprise specific, you know, which are going into carpeted office environments, they've been requested by governments to only work from home. And that's brought about a huge impact to how people work, but also socialize. So from a technology standpoint, you've asked people, right, you're going to work from home, actually, do you have network connectivity? Can you actually connect with a technology tool? Like, you know, collaboration to be able to speak to your customers, to speak to your GOPs. Now what device are you actually working on? So we saw this real drive around what is this sort of immediate business continuity requirement for a secure remote worker. >> Right. And that brought about other concerns as well. >> Right. So there's so many layers to this conversation. I'm psyched to dig into it. But one of the ones I want to dig in is kind of tools overload, you know, this idea of collaboration and, you know, trying to get your work done and trying to get bears removed. At the same time though, it just can't seems like we just keep getting more tools added to the palette that we have to interact with every day, whether it's lack or a sauna or Salesforce or box, or you know, the list goes on and on and on. And the other thing that just seems strange to me is that right, all of these things have a notification component. So it's almost like the noise is increasing. I don't hear a lot of people ripping out old tooling or ripping out old systems. So how do you help guide people to say, that there's all these great collaboration tools, there's all these great communication tools, but you can't have all of them firing all the time and expect people to actually have time to get work done. >> Yeah. And it's also, you know, some people are used to that, you might have a digital native who's used to using multiple tools, but you don't have others that actually haven't been taught or a learning program about how to use different tools for different applications. And that becomes that person becomes frustrated and their productivity levels can go down. I think that what we'd really try and do is understand what are the business requirements by the persona? And also if you think of that distributed worker, that's now having to work from home and go into the office for specific tasks that are allowed, are they a sales person? No. Are they actually working in HR? What do they need and what are the tasks they need? And that start to provide the right types of tools and technology specifically for them and make sure they have a learning path that's driven around how they actually enable that technology. But you're right though. I think one of the thing that COVID founder's that doesn't happen overnight, you know, that's an engagement process. COVID hit and everyone was at home straight away. So we did see this huge transition from what may have been a legacy on premise application to starting to use more cloud based applications. And almost everyone was thrown in at the deep pant. Right? Well, here you go, just get on and use it. And at the same time they had WeChat or they had no other types of applications like WhatsApp and there were all these channels were happening. And they always had an impact on things like compliance and security, because all of a sudden, you're not using a corporately approved platform and solution. And you're starting to talk about perhaps confidential information. That's not in a way that is actually retained inside of a corporate network for the compliance and regulatory components. Right. So it's been a really interesting time in the last few months. >> Right. Well, so let's just touch on security for a minute. 'Cause obviously security is a huge concern. As you said, there's a whole bunch of security. You get kind of new security issues. One is just, everybody's working from home, whether they've got to VPN or not, or they're on their... You know, whatever their cable provider. You don't know what devices they're on, right? There's so many different devices and too as these apps have proliferated all over all these devices, whether access Salesforce on my phone or on my laptop or on my computer at work. Right. All very different. So when you look at the kind of security challenge that has come from distributed workforce with this super acceleration, you know, how many customers are ready for it, it's just caused a complete, you know, kind of fire, a hair on fire reaction to get up to speed, or, you know, are a lot of the systems of the monitored system relatively well locked down. So it wasn't a giant, you know, kind of adjustment back in March. >> Really. It depends on the type of company culture it was before. You know, what we've actually seen from some research we've done very recently across 1500 different companies, those organizations that have really invested become more digital disruptors. Now that they've embedded an idea of agility, they've actually already got a distributed workforce. They've already started to move a lot of their platforms and applications to the cloud. They've started to think about these IT policies and security. Previously, they've been very successful in how they've been able to pivot and drive this business continuity. I think for others that have been, no have large installed base of employees, no have set policies in place it's been harder for them to transition. And what we've seen is that they're the organizations that have really tried to integrate some of the new technologies into the old and that that's quite difficult sometimes. So, you know, around security, out of those 1500 organizations, nearly 70% of them said that they have a higher level of risk and concern about this. You're already in compliance today than they had prior to the pandemic. >> Right. >> What also is brought about is this idea of moving from a sort of perimeter security now where you'd come into an office and you have this perimeter where the network's secure, the physical location, and security, containerize the applications. And you've got to empower employees more now because you know, people are going to be mobile. They're going to be using multiple devices in different locations, all around the world. So we're seeing this transition as people move to cloud based platform, security is starting to get embedded into the application and it goes back to that persona aspect. So you can start to initiate things like you know, data loss protection and rights management about the content an individual has based on their location or the confidentiality of that document or piece of information. So that's where we're seeing this move is sort of really accelerating to the group, take the stress away from the employee embedded into an actual system and an application. And that has the intelligence to work out the security and the compliance on behalf of the individual. >> Right. You know, where I was going to go is, you know, there's a lot of conversations now about certain companies announcing that people can just work from home for the foreseeable future, especially here in Silicon Valley. And you mentioned that, you know, for some people that were already kind of down at digital transformation path, they're in good shape. Other people, you know, weren't that far, and of course all the means on social media are, you know, what drove your digital transformation, the CEO, the CMO, or COVID. And we all know the answer to the question. So I just want to get, you know, kind of a longterm perspective. You've been in this space for a long time. I think there's going to be, you know, a significantly increased percentage of people that are working from home. A significantly increased percentage of the time, if not a hundred percent of the time. How do you see this kind of, you know, extending out and how will it impact the way that people motivate? 'Cause at the end of the day, you've written a ton of blog posts on this, you know, motivation equals profitability. And a motivated engaged people do better work and do get better results on the bottom line. How do you see this as this as (indistinct) rules for six months, 12 months, 24 months, when there's some mishmash of combination of work from home and work from the office? >> I think probably the first thing to say is that from the research we've done, we think that's going to differ by different geographies. I mean, it's interesting when you look at areas like India and perhaps South Africa where the network connectivity home is actually not as good as in Northern Europe or North America, and actually it becomes quite hard to carry out your role and task at home. And it can become really frustrating. There's also sort of health and safety components to also working at home. Now we've had a lot of people, especially the younger generation who are in shared home, shared facilities. Now who's going to pay for the internet, the bundles, you know, and actually you only have your bedroom and is it healthy to work at your bedroom all day? So when you really sort of peel back the layers of this, this is a really complex environment, and it's also dependent on the industry sector you are. You're actually driving. But at a high level, one thing we're really seeing is most people still want to have a level of human interaction. That we as humans like to like to work together and engage together. And in fact, about 80% of the respondents of our report actually said, they want to come back to the office. Now this, this speaks to this idea of choice and flexibility. 'Cause it's not just about coming back for five days a week, eight to five, it's about going actually I've got a task to carry out. It'd be really helpful if I was with my team face to face. >> Right. >> And I can come in for four hours, book my time in that physical space, carry that out, and then I can go home and do that sort of really the research based work which I can do in the safety of my own environment. So that's what we're seeing across the industry whereas before. Now, I think everyone's trying to build these really nice big offices that looked fantastic, more huge and talked about your brand. Most organizations now are repurposing space 'cause they're not going to have as many people inside of those physical locations, but they're motivating for them to come in for creative work, you know, to be social, to think about how they do cross agile team development. >> Jeff: Right. >> And that's what we're starting to see today. >> Yeah. It's really interesting you think of some young engineer that just graduated from school, gets a job at Google and you know, you get all your food there and they'll do your dry cleaning and they'll change the oil in your car and they'll, you know, take care of everything. And, and so there's this little growth in these little micro houses. Well guess what, now you don't have any of that stuff anymore. The micro house with no kitchen or kitchen that does look so attractive. And I want to shift gears a little bit more detail on NTT. You know, we've talked to lots of people about new ways to work. IBM, Citrix, you know, VM-ware has a solution and you work with big company. So how does NTT fit in, you know, kind of a transformation process big and that on the big scale, but more kind of an employee engagement and a work from anywhere type of engagement. How do you guys fit within, you know, big system integrators, like a center that are driving organizational change and, you know, kind of all this other suite of technology that they might already have in place. >> Yeah. I mean, we sort of sit in that role of a service delivery organization as well as systems integrator. So our role is to actually go into those clients and sit down with them, which is now virtually, rather than in person a lot of the time. And really understand what are those business KPIs they have and help them shape that strategy. And to do that, you've got to understand what they have today, that view of the assets. And that goes across multiple components as you said, from, you know, desktop application, security, inclusive of culture, property assets, network. And what we do is really take a holistic view of those areas that go for you to reach that business goal, that KPI, you know, this is the project that you're going to have to do. And anything around employee engagement ultimately is fed also by how good your network is and how secure that network is to deliver those applications efficiently for that employee to carry out their task in that frictionless way. So we have a very holistic view about how we then deliver Upgrade. That the core infrastructure, we do that secure by design is our sort of policy and everything we do, you know, security is embedded into what we do, and then we deliver that outcome. But then we erupt things like adoption services. I think one thing in the past, you know, people say here's a technology, go on and do it. Especially nowadays, you've got quite complex platforms. You've got to really understand how do you give information to people to self serve them, that sort of nudge technology, so they can understand how to carry it out on that idea of adoption training. Change of management is becoming ever increasingly important for our clients. >> Right. So I wan shift gears again, Alex, and talk about the show Upgrade 2020. Lot of (laughs) a lot of really heavy science going on here in healthcare, in IT, in a whole bunch of areas. Pretty exciting stuff, you know, we've talked to some other guests about some of the real details and I'm definitely going to attend some sessions and have my brain exploded I'm sure. But I'm just curious of how it fits with what your doing, you know, you've been involved, as you said, not necessarily the NTT, but you've been involved in kind of workplace collaboration tools for a long, long time. You know, how do you see, you know, kind of basic research and some of this really fundamental research, you know, kind of helping you and your customers and your solutions, you know, as we kind of moved down the road. >> Alright, hold at that. The main conversation we're having with executives today is this idea of employee wellbeing and experience is fundamental to the success of their business. 'Cause it drives customer centricity productivity gains. You've got to think about how technology can underpin that and deliver insights to you. So, you know, the new currency is data. And what I find really interesting around and what we're talking about with Upgrade 2020 is this ideas of digital twins. So when you think of this concept of a digital twin, it all is based on this idea of extensibility. So all your decisions that you're making right to today, you know, these short term decisions you having to do for business continuity, you've got to think about the longterm impact of how you're going to be able to ingest that data from all those systems into a central area, to give you insight. Now, from that insight, you've then got the, you know, the power of machine learning and artificial intelligence to actually say right, for this component how many of my employees really are? Then well, are they doing well in the productivity gains? And from my property estate, you know, how many of my properties are actually reducing the energy consumption? And are we adhering to our sustainability goals? Are they well? So the actual physical environment is safe for those employees. So all of those disparate platforms have to come together into that one area and give you insight. So that the marrying of physical space with the how humans interact all into a digital twin, I think is really interesting and something I'm speaking to clients about day in, day out. >> I love that, that is awesome. You know, we're first exposed to the digital twin concept years ago, doing some work with general electric, because they were doing a lot of digital twin work around, you know, engines on airplanes and, you know, simulate an airplane engine that's running on a plane in the Middle East, it's going to act very different than a plane that's running in Alaska. And then, you know, I love the concept of digital twin around the context of people in medicine, right. And modeling a heart or modeling a behavior system or cardiovascular system. How are you talking about digital twins? 'Cause it sounds like you're talking about kind of a combination between, you know, kind of individual people and how they're doing versus some group of people as a unit or organization. And then you even mentioned, you know, sustainability goals and buildings. So when you're talking about digital twin in this context, what are the boundaries? How are you organizing that thing that you can then do, you know, kind of tests and kind of predictive exercises to see how the real thing is going to do relative to what the digital twin did. >> Yeah. But it goes back to defining those business outcomes. And most of the discussions we're having is, yeah, obviously increased productivity, but it's also a reducing costs. A big one we've seen in my area is attraction retention of talent. You know, intellectual property is going to differentiate organizations in the future as technology sort of standardizes. But sustainability again from the research we've done is really high up on the executives agenda. You know, the idea that we, as NTT as well, we have a duty to society to actually start giving back a view of how technology can improve the sustainability goal. And in fact, we've just become the business Avenger for the UN sustainability goal, number 11, around the idea of communities and smart cities. So the clients that I'm speaking to when they're looking at those business objectives are no 10, 15% of my, my actual costs associated to my property. We've now got a new distributed workforce, but I've got a huge amount of energy going into those properties. Now we can actually connect now building management systems into now that digital twin. We can also start to look at the other platforms such as lifts, you know, also all the heating and air ventilation. And start to get the data that allows us to model and predict when certain issues may occur. So, you know, as less people start coming in, you'll have occupancy data. You'll be able to say, you're actually, this location has only been used 30% capacity. We could reduce the amount of space we have, or in fact, we don't need that space at all. And in that space, we know that we're running an HVAC system and air conditioning a hundred percent of the time. You start to actually reduce that and you can reduce energy consumption by 30%. Now goes back to this whole idea of extensibility on one building that can have a big impact, but across 500 buildings that we're NTT have, that's a significant amount of energy that we can change. >> Jeff: Right. >> And also you can then start to think about the idea of, you know, more different type of power purchasing agreement with sustainable energy going into those environments. >> So many, you know, kind of so many interesting twists and turns on this journey since, you know, that COVID hit. And it is going to be really fascinating to see kind of what sticks and, you know, and the longterm ramifications. 'Cause we're not going back to the way that it was. I think that's not even a question. Just the last thing on kind of the data, you know, we saw some really, I think not such great things early on in this thing where, you know, you get put us basically a sniffer on and you know, our people sitting in front of their computer all day. I saw some nasty thing on Twitter the other day. My boss wants me to be on Zoom calls all day long. I mean, do people get it that, you know, there's an opportunity to increase motivation, not decrease motivation by, you know, a responsible use and a good use of this data versus, you know, a potential perception of, well now they're just big brothering me to death. >> It's such a hot topic, right? I mean, even before COVID we had, you know, the GDPR compliance in Europe. But that ultimately is a global compliance and the West coast America also got a similar one now about what data you're actually keeping about me as an individual. And I should have access to that and I can not speak to my company about it. And is it big brother or actually using that data to help inform me as an individual ways of improving the way I work or working in a way that has a better balance for me as an individual. And we're having these conversations with our clients right now about how we do this, because they having to work with workers counselors in countries like Germany. Because track and trace does have that view of that sort of big brother. What, where are you? What are you doing? And how long have you been on your computer? I think it's down to the culture of your business and the purpose that you have and how you engage with your employees, that you show that data to be about all benefiting them as an individual. Now, I'm going back to that digital twin, that the view of ingesting data, then from perhaps platforms like, you know, Cisco WebEx or Office 365, and you can see how long they are actually in front of their screen. You can then start to predict and see where you may have burnout or in fact affect change where you say RHR policy should dictate, you shouldn't be working 14 hours a day. That's not good for you. It's not good for us. And actually nudge them and teach them about taking no time away from the desk and actually having a better work balance. And that's important because it all goes back to increases the productivity longterm, but it's great brand association and it's good for attraction and retention of talent. >> Right, Right. Well, I think the retention and attraction is a huge thing. You keep talking about productivity and obviously in your blog post talking about engagement, right. And engagement is such a direct tie to that. And then at the bottom line (giggles) it's kind of like diversity of opinion. It actually makes good business sense. And you actually put more money in the bank at the end of the day, when you do some of these more progressive, you know, kind of approaches to how you manage the people. 'Cause they're not machines, they're people. >> Yeah. And you should allow them to make decisions. You know, that again, distributed working, you've got to think of how to empower them with the tools that gives them the choice to make decisions. And you know, that that decision making is more democratized inside of organizations that are successful. But if you don't have the technology that allows them to do that, it goes back to a hierarchical decision making. And that takes time, it's slower to market, and then you know, you're not as successful as your competition. So we're really trying to prove that this idea of thinking about people first using the data that backs it up you know, with empirical data to show the benefits, is the way forward for organizations today. >> Yeah. Alex, great conversation. Certainly nothing but opportunity (laughs) I had for you and what you do in this really fast evolving and transformative space, which is so important. Which is how do people work? How do they feel good? How are they engaged? How are they productive and really contribute? And at the end of the day, it is good business. So exciting times, good luck on the show and some of this crazy research coming out of it on the digital twin, and we look forward to continuing to watch the story unfold. >> Thank you very much, Jeff. >> Alright. He's Alex. I'm Jeff. You're watching Upgrade 2020. The continuous coverage from theCUBE. Thanks for watching. We'll see you next time.

Published Date : Sep 29 2020

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Narrator: From around the globe, around a lot of the basic core research How are you doing. a lot of people, you know, I mean, the NTT, as you said, So obviously COVID-19, what was, you know, in the last, you know, And that brought about or you know, the list that doesn't happen overnight, you know, So it wasn't a giant, you know, So, you know, around security, And that has the intelligence I think there's going to be, you know, the bundles, you know, you know, to be social, to starting to see today. and they'll, you know, I think one thing in the past, you know, kind of helping you and your And from my property estate, you know, kind of a combination between, you know, So the clients that I'm speaking to you know, more different type to see kind of what sticks and, you know, and the purpose that you have to how you manage the people. and then you know, and what you do We'll see you next time.

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Meet the Analysts on EU Decision to kill the Trans-Atlantic Data Transfer Pact


 

(upbeat electronic music) >> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Okay, hello everyone. I'm John Furrier with theCUBE. We're here with Meet the Analysts segment Sunday morning. We've got everyone around the world here to discuss a bit of the news around the EU killing the privacy deal, striking it down, among other topics around, you know, data privacy and global commerce. We got great guests here, Ray Wang, CEO of Constellation Research. Bill Mew, founder and CEO of Cyber Crisis Management from the Firm Crisis Team. And JD, CEO of Spearhead Management. JD, I can let you say your name because I really can't pronounce it. How do I (laughs) pronounce it, doctor? >> I wouldn't even try it unless you are Dutch, otherwise it will seriously hurt your throat. (Ray laughing) So, JD works perfect for me. >> Doctor Drooghaag. >> And Sarbjeet Johal, who's obviously an influencer, a cloud awesome native expert. Great, guys. Great to have you on, appreciate it, thanks for comin' on. And Bill, thank you for initiating this, I appreciate all your tweets. >> Happy Sunday. (Bill laughing) >> You guys have been really tweeting up a storm, I want to get everyone together, kind of as an analyst, Meet the Analyst segment. Let's go through with it. The news is the EU and U.S. Privacy Shield for data struck down by the court, that's the BBC headline. Variety of news, different perspectives, you've got an American perspective and you've got an international perspective. Bill, we'll start with you. What does this news mean? I mean, basically half the people in the world probably don't know what the Privacy Shield means, so why is this ruling so important, and why should it be discussed? >> Well, thanks to sharing between Europe and America, it's based on a two-way promise that when data goes from Europe to America, the Americans promise to respect our privacy, and when data goes form America to Europe, the Europeans promise to respect the American privacy. Unfortunately, there are big cultural differences between the two blocks. The Europeans have a massive orientation around privacy as a human right. And in the U.S., there's somewhat more of a prioritization on national security, and therefore for some time there's been a mismatch here, and it could be argued that the Americans haven't been living up to their promise because they've had various different laws, and look how much talk about FISA and the Cloud Act that actually contravene European privacy and are incompatible with the promise Americans have given. That promise, first of all, was in the form of a treaty called Safe Harbor. This went to court and was struck down. It was replaced by Privacy Shield, which was pretty much the same thing really, and that has recently been to the court as well, and that has been struck down. There now is no other means of legally sharing data between Europe and America other than what are being called standard contractual clauses. This isn't a broad treaty between two nations, these are drawn by each individual country. But also in the ruling, they said that standard contractual clauses could not be used by any companies that were subject to mass surveillance. And actually in the U.S., the FISA courts enforce a level of mass surveillance through all of the major IT firms, of all major U.S. telcos, cloud firms, or indeed, social media firms. So, this means that for all of the companies out there and their clients, business should be carrying on as usual apart from if you're one of those major U.S. IT firms, or one of their clients. >> So, why did this come about? Was there like a major incident? Why now, was it in the court, stuck in the courts? Were people bitchin' and moanin' about it? Why did this go down, what's the real issue? >> For those of us who have been following this attentively, things have been getting more and more precarious for a number of years now. We've had a situation where there are different measures being taken in the U.S., that have continued to erode the different protections that there were for Europeans. FISA is an example that I've given, and that is the sort of secret courts and secret warrants that are issued to seize data without anyone's knowledge. There's the Cloud Act, which is a sort of extrajudicial law that means that warrants can be served in America to U.S. organizations, and they have to hand over data wherever that data resides, anywhere in the world. So, data could exist on a European server, if it was under the control of an American company, they'd have to hand that over. So, whilst FISA is in direct conflict with the promises that the Americans made, things like the Cloud Act are not only in controversion with the promise they've made, there's conflicting law here, because if you're a U.S. subsidiary of a big U.S. firm, and you're based in Europe, who do you obey, the European law that says you can't hand it over because of GDPR, or the American laws that says they've got extrajudicial control, and that you've got to hand it over. So, it's made things a complete mess. And to say has this stuff, hasn't really happened? No, there's been a gradual erosion, and this has been going through the courts for a number of years. And many of us have seen it coming, and now it just hit us. >> So, if I get you right in what you're saying, it's basically all this mishmash of different laws, and there's no coherency, and consistency, is that the core issue? >> On the European side you could argue there's quite a lot of consistency, because we uphold people's privacy, in theory. But there have been incidents which we could talk about with that, but in theory, we hold your rights dear, and also the rights of Europeans, so everyone's data should be safe here from the sort of mass surveillance we're seeing. In the U.S., there's more of a direct conflict between everything, including there's been a, in his first week in the White House, Donald Trump signed an executive order saying that the Privacy Act in the U.S., which had been the main protection for people in the U.S., no longer applied to non-U.S. citizens. Which was, if you wanted try and cause a storm, and if you wanted to try and undermine the treaty, there's no better way of doing it than that. >> A lot of ways, Ray, I mean simplify this for me, because I'm a startup, I'm hustlin', or I'm a big company, I don't even know who runs the servers anymore, and I've got data stored in multiple clouds, I got in regions, and Oracle just announced more regions, you got Amazon, a gazillion regions, I could be on-premise. I mean bottom line, what is this about? I mean, and -- >> Bill's right, I mean when Max Schrems, the Austrian. Bill's right, when Max Schrems the Austrian activist actually filed his case against Facebook for where data was being stored, data residency wasn't as popular. And you know, what it means for companies that are in the cloud is that you have to make sure your data's being stored in the region, and following those specific region rules, you can't skirt those rules anymore. And I think the cloud companies know that this has been coming for some time, and that's why there's been announced in a lot of regions, a lot of areas that are actually happening, so I think that's the important part. But going back to Bill's earlier point, which is important, is America is basically the Canary Islands of privacy, right? Privacy is there, but it isn't there in a very, very explicit sense, and I think we've been skirting the rules for quite some time, because a lot of our economy depends on that data, and the marketing of the data. And so we often confuse privacy with consent, and also with value exchange, and I think that's part of the problem of what's going on here. Companies that have been building their business models on free data, free private data, free personally identifiable data information are the ones that are at risk! And I think that's what's going on here. >> It's the classic Facebook issue, you're the product, and the data is your product. Well, I want to get into what this means, 'cause my personal take away, not knowing the specifics, and just following say, cyber security for instance, one of the tenets there is that data sharing is an invaluable, important ethos in the community. Now, everyone has their own privacy, or security data, they don't want to let everyone know about their exploits but, but it's well known in the security world that sharing data with each other, different companies and countries is actually a good thing. So, the question that comes in my mind, is this really about data sharing or data privacy, or both? >> I think it's about both. And actually what the ruling is saying here is, all we're asking from the European side is please stop spying on us and please give us a level of equal protection that you give to your own citizens. Because data comes from America to Europe, whatever that data belongs to, a U.S. citizen or a European citizen, it's given equal protection. It is only if data goes in the other direction, where you have secret courts, secret warrants, seizure of data on this massive scale, and also a level of lack of equivalence that has been imposed. And we're just asking that once you've sorted out a few of those things, we'd say everything's back on the table, away we go again! >> Why don't we merge the EU with the United States? Wouldn't that solve the problem? (Bill laughing) >> We just left Europe! (laughs heartily) >> Actually I always -- >> A hostile takeover of the UK maybe, the 52nd state. (Bill laughing loudly) >> I always pick on Bill, like Bill, you got all screaming loud and clear about all these concerns, but UKs trying to get out of that economic union. It is a union at the end of the day, and I think the problem is the institutional mismatch between the EU and U.S., U.S. is old democracy, bigger country, population wise, bigger economy. Whereas Europe is several countries trying to put together, band together as one entity, and the institutions are new, like you know, they're 15 years old, right? They're maturing. I think that's where the big mismatch is and -- >> Well, Ray, I want to get your thoughts on this, Ray wrote a book, I forget what year it was, this digital disruption, basically it was digital transformation before it was actually a trend. I mean to me it's like, do you do the process first and then figure out where the value extraction is, and this may be a Silicon Valley or an American thing, but go create value, then figure out how to create process or understand regulations. So, if data and entrepreneurship is going to be a new modern era of value, why wouldn't we want to create a rule based system that's open and enabling, and not restrictive? >> So, that's a great point, right? And the innovation culture means you go do it first, and you figure out the rules later, and that's been a very American way of getting things done, and very Silicon Valley in our perspective, not everyone, but I think in general that's kind of the trend. I think the challenge here is that we are trading privacy for security, privacy for convenience, privacy for personalization, right? And on the security level, it's a very different conversation than what it is on the consumer end, you know, personalization side. On the security side I think most Americans are okay with a little bit of "spying," at least on your own side, you know, to keep the country safe. We're not okay with a China level type of spying, which we're not sure exactly what that means or what's enforceable in the courts. We look like China to the Europeans in the way we treat privacy, and I think that's the perspective we need to understand because Europeans are very explicit about how privacy is being protected. And so this really comes back to a point where we actually have to get to a consent model on privacy, as to knowing what data is being shared, you have the right to say no, and when you have the right to say no. And then if you have a value exchange on that data, then it's really like sometimes it's monetary, sometimes it's non-monetary, sometimes there's other areas around consensus where you can actually put that into place. And I think that's what's missing at this point, saying, you know, "Do we pay for your data? Do we explicitly get your consent first before we use it?" And we haven't had that in place, and I think that's where we're headed towards. And you know sometimes we actually say privacy should be a human right, it is in the UN Charter, but we haven't figured out how to enforce it or talk about it in the digital age. And so I think that's the challenge. >> Okay, people, until they lose it, they don't really understand what it means. I mean, look at Americans. I have to say that we're idiots on this front, (Bill chuckling) but you know, the thing is most people don't even understand how much value's getting sucked out of their digital exhaust. Like, our kids, TikTok and whatnot. So I mean, I get that, I think there's some, there's going to be blow back for America for sure. I just worry it's going to increase the cost of doing business, and take away from the innovation for citizen value, the people, because at the end of the day, it's for the people right? I mean, at the end of the day it's like, what's my privacy mean if I lose value? >> Even before we start talking about the value of the data and the innovation that we can do through data use, you have to understand the European perspective here. For the European there's a level of double standards and an erosion of trust. There's double standards in the fact that in California you have new privacy regulations that are slightly different to GDPR, but they're very much GDPR like. And if the boot was on the other foot, to say if we were spying on Californians and looking at their personal data, and contravening CCPA, the Californians would be up in arms! Likewise if we having promised to have a level of equality, had enacted a local rule in Europe that said that when data from America's over here, actually the privacy of Americans counts for nothing, we're only going to prioritize the privacy of Europeans. Again, the Americans would be up in arms! And therefore you can see that there are real double standards here that are a massive issue, and until those addressed, we're not going to trust the Americans. And likewise, the very fact that on a number of occasions Americans have signed up to treaties and promised to protect our data as they did with Safe Harbor, as they did with Privacy Shield, and then have blatantly, blatantly failed to do so means that actually to get back to even a level playing field, where we were, you have a great deal of trust to overcome! And the thing from the perspective of the big IT firms, they've seen this coming for a long time, as Ray was saying, and they sought to try and have a presence in Europe and other things. But the way this ruling has gone is that, I'm sorry, that isn't going to be sufficient! These big IT firms based in the U.S. that have been happy to hand over data, well some of them maybe more happy than others, but they all need to hand over data to the NSA or the CIA. They've been doing this for some time now without actually respecting this data privacy agreement that has existed between the two trading blocks. And now they've been called out, and the position now is that the U.S. is no longer trusted, and neither are any of these large American technology firms. And until the snooping stops and equality is introduced, they can now no longer, even from their European operations, they can no longer use standard contractual clauses to transfer data, which is going to be a massive restriction on their business. And if they had any sense, they'd be lobbying very, very hard right now to the Senate, to the House, to try and persuade U.S. lawmakers actually to stick to some these treaties! To stop introducing really mad laws that ride roughshod over other people's privacy, and have a certain amount of respect. >> Let's let JD weigh in, 'cause he just got in, sorry on the video, I made him back on a host 'cause he dropped off. Just, Bill, real quick, I mean I think it's like when, you know, I go to Europe there's the line for Americans, there's the line for EU. Or EU and everybody else. I mean we might be there, but ultimately this has to be solved. So, JD, I want to let you weigh in, Germany has been at the beginning forefront of privacy, and they've been hardcore, and how's this all playing out in your perspective? >> Well, the first thing that we have to understand is that in Germany, there is a very strong law for regulation. Germans panic as soon as they know regulation, so they need to understand what am I allowed to do, and what am I not allowed to do. And they expect the same from the others. For the record I'm not German, but I live in Germany for some 20 years, so I got a bit of a feeling for them. And that sense of need for regulation has spread very fast throughout the European Union, because most of the European member states of the European Union consider this, that it makes sense, and then we found that Britain had already a very good framework for privacy, so GDPR itself is very largely based on what the United Kingdom already had in place with their privacy act. Moving forward, we try to find agreement and consensus with other countries, especially the United States because that's where most of the tech providers are, only to find out, and that is where it started to go really, really bad, 2014, when the mass production by Edward Snowden came out, to find out it's not data from citizens, it's surveillance programs which include companies. I joined a purchasing conference a few weeks ago where the purchase of a large European multinational, where the purchasing director explicitly stated that usage of U.S. based tech providers for sensitive data is prohibited as a result of them finding out that they have been under surveillance. So, it's not just the citizens, there's mass -- >> There you have it, guys! We did trust you! We did have agreements there that you could have abided by, but you chose not to, you chose to abuse our trust! And you're now in a position where you are no longer trusted, and unless you can lobby your own elected representatives to actually recreate a level playing field, we're not going to continue trusting you. >> So, I think really I -- >> Well I mean that, you know, innovation has to come from somewhere, and you know, has to come from America if that's the case, you guys have to get on board, right? Is that what it -- >> Innovation without trust? >> Is that the perspective? >> I don't think it's a country thing, I mean like, it's not you or them, I think everybody -- >> I'm just bustin' Bill's chops there. >> No, but I think everybody, everybody is looking for what the privacy rules are, and that's important. And you can have that innovation with consent, and I think that's really where we're going to get to. And this is why I keep pushing that issue. I mean, privacy should be a fundamental right, and how you get paid for that privacy is interesting, or how you get compensated for that privacy if you know what the explicit value exchange is. What you're talking about here is the surveillance that's going on by companies, which shouldn't be happening, right? That shouldn't be happening at the company level. At the government level I can understand that that is happening, and I think those are treaties that the governments have to agree upon as to how much they're going to impinge on our personal privacy for the trade off for security, and I don't think they've had those discussions either. Or they decided and didn't tell any of their citizens, and I think that's probably more likely the case. >> I mean, I think what's happening here, Bill, you guys were pointing out, and Ray, you articulated there on the other side, and my kind of colorful joke aside, is that we're living a first generation modern sociology problem. I mean, this is a policy challenge that extends across multiple industries, cyber security, citizen's rights, geopolitical. I mean when would look, and even when we were doing CUBE events overseas in Europe, in North American companies we'd call it abroad, we'd just recycle the American program, and we found there's so much localization value. So, Ray, this is the digital disruption, it's the virtualization of physical for digital worlds, and it's a lot of network theory, which is computer science, a lot of sociology. This is a modern challenge, and I don't think it so much has a silver bullet, it's just that we need smart people working on this. That's my take away! >> I think we can describe the ideal endpoint being somewhere we have meaningful protection alongside the maximization of economic and social value through innovation. So, that should be what we would all agree would be the ideal endpoint. But we need both, we need meaningful protection, and we need the maximization of economic and social value through innovation! >> Can I add another axis? Another axis, security as well. >> Well, I could -- >> I put meaningful protection as becoming both security and privacy. >> Well, I'll speak for the American perspective here, and I won't speak, 'cause I'm not the President of the United States, but I will say as someone who's been from Silicon Valley and the east coast as a technical person, not a political person, our lawmakers are idiots when it comes to tech, just generally. (Ray laughing) They're not really -- (Bill laughing loudly) >> They really don't understand. They really don't understand the tech at all! >> So, the problem is -- >> I'm not claiming ours are a great deal better. (laughs) >> Well, this is why I think this is a modern problem. Like, the young people I talk to are like, "Why do we have this rules?" They're all lawyers that got into these positions of Congress on the American side, and so with the American JEDI Contract you guys have been following very closely is, it's been like the old school Oracle, IBM, and then Amazon is leading with an innovative solution, and Microsoft has come in and re-pivoted. And so what you have is a fight for the digital future of citizenship! And I think what's happening is that we're in a massive societal transition, where the people in charge don't know what the hell they're talkin' about, technically. And they don't know who to tap to solve the problems, or even shape or frame the problems. Now, there's pockets of people that are workin' on it, but to me as someone who looks at this saying, it's a pretty simple solution, no one's ever seen this before. So, there's a metaphor you can draw, but it's a completely different problem space because it's, this is all digital, data's involved. >> We've got a lobbyists out there, and we've got some tech firms spending an enormous amount of lobbying. If those lobbyists aren't trying to steer their representatives in the right direction to come up with law that aren't going to massively undermine trade and data sharing between Europe and America, then they're making a big mistake, because we got here through some really dumb lawmaking in the U.S., I mean, there are none of the laws in Europe that are a problem here. 'Cause GDPR isn't a great difference, a great deal different from some of the laws that we have already in California and elsewhere. >> Bill, Bill. >> The laws that are at issue here -- >> Bill, Bill! You have to like, back up a little bit from that rhetoric that EU is perfect and U.S. is not, that's not true actually. >> I'm not saying we're perfect! >> No, no, you say that all the time. >> But I'm saying there's a massive lack of innovation. Yeah, yeah. >> I don't, I've never said it! >> Arm wrestle! >> Yes, yes. >> When I'm being critical of some of the dumb laws in the U.S, (Sarbjeet laughing) I'm not saying Europe is perfect. What we're trying to say is that in this particular instance, I said there was an equal balance here between meaningful protection and the maximization of economic and social value. On the meaningful protection side, America's got it very wrong in terms of the meaningful protection it provides to civil European data. On the maximization of economic and social value, I think Europe's got it wrong. I think there are a lot of things we could do in Europe to actually have far more innovation. >> Yeah. >> It's a cultural issue. The Germans want rules, that's what they crave for. America's the other way, we don't want rules, I mean, pretty much is a rebel society. And that's kind of the ethos of most tech companies. But I think you know, to me the media, there's two things that go on with this tech business. The company's themselves have to be checked by say, government, and I believe in not a lot of regulation, but enough to check the power of bad actors. Media so called "checking power", both of these major roles, they don't really know what they're talking about, and this is back to the education piece. The people who are in the media so called "checking power" and the government checking power assume that the companies are bad. Right, so yeah, because eight out of ten companies like Amazon, actually try to do good things. If you don't know what good is, you don't really, (laughs) you know, you're in the wrong game. So, I think media and government have a huge education opportunity to look at this because they don't even know what they're measuring. >> I support the level of innovation -- >> I think we're unreeling from the globalization. Like, we are undoing the globalization, and that these are the side effects, these conflicts are a side effect of that. >> Yeah, so all I'm saying is I support the focus on innovation in America, and that has driven an enormous amount of wealth and value. What I'm questioning here is do you really need to spy on us, your allies, in order to help that innovation? And I'm starting to, I mean, do you need mass surveillance of your allies? I mean, I can see you may want to have some surveillance of people who are a threat to you, but wait, guys, we're meant to be on your side, and you haven't been treating our privacy with a great deal of respect! >> You know, Saudi Arabia was our ally. You know, 9/11 happened because of them, their people, right? There is no ally here, and there is no enemy, in a way. We don't know where the rogue actors are sitting, like they don't know, they can be within the walls -- >> It's well understood I think, I agree, sorry. it's well understood that nation states are enabling terrorist groups to take out cyber attacks. That's well known, the source enables it. So, I think there's the privacy versus -- >> I'm not sure it's true in your case that it's Europeans that's doing this though. >> No, no, well you know, they share -- >> I'm a former officer in the Royal Navy, I've stood shoulder to shoulder with my U.S. counterparts. I put my life on the line on NATO exercises in real war zones, and I'm now a disabled ex-serviceman as a result of that. I mean, if I put my line on the line shoulder to shoulder with Americans, why is my privacy not respected? >> Hold on -- >> I feel it's, I was going to say actually that it's not that, like even the U.S., right? Part of the spying internally is we have internal actors that are behaving poorly. >> Yeah. >> Right, we have Marxist organizations posing as, you know, whatever it is, I'll leave it at that. But my point being is we've got a lot of that, every country has that, every country has actors and citizens and people in the system that are destined to try to overthrow the system. And I think that's what that surveillance is about. The question is, we don't have treaties, or we didn't have your explicit agreements. And that's why I'm pushing really hard here, like, they're separating privacy versus security, which is the national security, and privacy versus us as citizens in terms of our data being basically taken over for free, being used for free. >> John: I agree with that. >> That I think we have some agreement on. I just think that our governments haven't really had that conversation about what surveillance means. Maybe someone agreed and said, "Okay, that's fine. You guys can go do that, we won't tell anybody." And that's what it feels like. And I don't think we deliberately are saying, "Hey, we wanted to spy on your citizens." I think someone said, "Hey, there's a benefit here too." Otherwise I don't think the EU would have let this happen for that long unless Max had made that case and started this ball rolling, so, and Edward Snowden and other folks. >> Yeah, and I totally support the need for security. >> I want to enter the -- >> I mean we need to, where there are domestic terrorists, we need to stop them, and we need to have local action in UK to stop it happening here, and in America to stop it happening there. But if we're doing that, there is absolutely no need for the Americans to be spying on us. And there's absolutely no need for the Americans to say that privacy applies to U.S. citizens only, and not to Europeans, these are daft, it's just daft! >> That's a fair point. I'm sure GCHQ and everyone else has this covered, I mean I'm sure they do. (laughs) >> Oh, Bill, I know, I've been involved, I've been involved, and I know for a fact the U.S. and the UK are discussing I know a company called IronNet, which is run by General Keith Alexander, funded by C5 Capital. There's a lot of collaboration, because again, they're tryin' to get their arms around how to frame it. And they all agree that sharing data for the security side is super important, right? And I think IronNet has this thing called Iron Dome, which is essentially like they're saying, hey, we'll just consistency around the rules of shared data, and we can both, everyone can have their own little data. So, I think there's recognition at the highest levels of some smart people on both countries. (laughs) "Hey, let's work together!" The issue I have is just policy, and I think there's a lot of clustering going on. Clustered here around just getting out of their own way. That's my take on that. >> Are we a PG show? Wait, are we a PG show? I just got to remember that. (laughs) (Bill laughing) >> It's the internet, there's no regulation, there's no rules! >> There's no regulation! >> The European rules or is it the American rules? (Ray laughing) >> I would like to jump back quickly to the purpose of the surveillance, and especially when mass surveillance is done under the cover of national security and terror prevention. I worked with five clients in the past decade who all have been targeted under mass surveillance, which was revealed by Edward Snowden, and when they did their own investigation, and partially was confirmed by Edward Snowden in person, they found out that their purchasing department, their engineering department, big parts of their pricing data was targeted in mass surveillance. There's no way that anyone can explain me that that has anything to do with preventing terror attacks, or finding the bad guys. That is economical espionage, you cannot call it in any other way. And that was authorized by the same legislation that authorizes the surveillance for the right purposes. I'm all for fighting terror, and anything that can help us prevent terror from happening, I would be the first person to welcome it. But I do not welcome when that regulation is abused for a lot of other things under the cover of national interest. I understand -- >> Back to the lawmakers again. And again, America's been victim to the Chinese some of the individual properties, well documented, well known in tech circles. >> Yeah, but just 'cause the Chinese have targeted you doesn't give you free right to target us. >> I'm not saying that, but its abuse of power -- >> If the U.S. can sort out a little bit of reform, in the Senate and the House, I think that would go a long way to solving the issues that Europeans have right now, and a long way to sort of reaching a far better place from which we can all innovate and cooperate. >> Here's the challenge that I see. If you want to be instrumenting everything, you need a closed society, because if you have a free country like America and the UK, a democracy, you're open. If you're open, you can't stop everything, right? So, there has to be a trust, to your point, Bill. As to me that I'm just, I just can't get my arms around that idea of complete lockdown and data surveillance because I don't think it's gettable in the United States, like it's a free world, it's like, open. It should be open. But here we've got the grids, and we've got the critical infrastructure that should be protected. So, that's one hand. I just can't get around that, 'cause once you start getting to locking down stuff and measuring everything, that's just a series of walled gardens. >> So, to JD's point on the procurement data and pricing data, I have been involved in some of those kind of operations, and I think it's financial espionage that they're looking at, financial security, trying to figure out a way to track down capital flows and what was purchased. I hope that was it in your client's case, but I think it's trying to figure out where the money flow is going, more so than trying to understand the pricing data from competitive purposes. If it is the latter, where they're stealing the competitive information on pricing, and data's getting back to a competitor, that is definitely a no-no! But if it's really to figure out where the money trail went, which is what I think most of those financial analysts are doing, especially in the CIA, or in the FBI, that's really what that probably would have been. >> Yeah, I don't think that the CIA is selling the data to your competitors, as a company, to Microsoft or to Google, they're not selling it to each other, right? They're not giving it to each other, right? So, I think the one big problem I studied with FISA is that they get the data, but how long they can keep the data and how long they can mine the data. So, they should use that data as exhaust. Means like, they use it and just throw it away. But they don't, they keep mining that data at a later date, and FISA is only good for five years. Like, I learned that every five years we revisit that, and that's what happened this time, that we renewed it for six years this time, not five, for some reason one extra year. So, I think we revisit all these laws -- >> Could be an election cycle. >> Huh? >> Could be an election cycle maybe. (laughs) >> Yes, exactly! So, we revisit all these laws with Congress and Senate here periodically just to make sure that they are up to date, and that they're not infringing on human rights, or citizen's rights, or stuff like that. >> When you say you update to check they're not conflicting with anything, did you not support that it was conflicting with Privacy Shield and some of the promises you made to Europeans? At what point did that fail to become obvious? >> It does, because there's heightened urgency. Every big incident happens, 9/11 caused a lot of new sort of like regulations and laws coming into the picture. And then the last time, that the Russian interference in our election, that created some sort of heightened urgency. Like, "We need to do something guys here, like if some country can topple our elections, right, that's not acceptable." So, yeah -- >> And what was it that your allies did that caused you to spy on us and to downgrade our privacy? >> I'm not expert on the political systems here. I think our allies are, okay, loose on their, okay, I call it village politics. Like, world is like a village. Like it's so only few countries, it's not millions of countries, right? That's how I see it, a city versus a village, and that's how I see the countries, like village politics. Like there are two camps, like there's Russia and China camp, and then there's U.S. camp on the other side. Like, we used to have Russia and U.S., two forces, big guys, and they managed the whole world balance somehow, right? Like some people with one camp, the other with the other, right? That's how they used to work. Now that Russia has gone, hold on, let me finish, let me finish. >> Yeah. >> Russia's gone, there's this void, right? And China's trying to fill the void. Chinese are not like, acting diplomatic enough to fill that void, and there's, it's all like we're on this imbalance, I believe. And then Russia becomes a rogue actor kind of in a way, that's how I see it, and then they are funding all these bad people. You see that all along, like what happened in the Middle East and all that stuff. >> You said there are different camps. We thought we were in your camp! We didn't expect to be spied on by you, or to have our rights downgraded by you. >> No, I understand but -- >> We thought we were on your side! >> But, but you have to guys to trust us also, like in a village. Let me tell you, I come from a village, that's why I use the villager as a hashtag in my twitter also. Like in village, there are usually one or two families which keep the village intact, that's our roles. >> Right. >> Like, I don't know if you have lived in a village or not -- >> Well, Bill, you're making some great statements. Where's the evidence on the surveillance, where can people find more information on this? Can you share? >> I think there's plenty of evidence, and I can send some stuff on, and I'm a little bit shocked given the awareness of the FISA Act, the Cloud Act, the fact that these things are in existence and they're not exactly unknown. And many people have been complaining about them for years. I mean, we've had Safe Harbor overturned, we've had Privacy Shield overturned, and these weren't just on a whim! >> Yeah, what does JD have in his hand? I want to know. >> The Edward Snowden book! (laughs) >> By Edward Snowden, which gives you plenty. But it wasn't enough, and it's something that we have to keep in mind, because we can always claim that whatever Edward Snowden wrote, that he made it up. Every publication by Edward Snowden is an avalanche of technical confirmation. One of the things that he described about the Cisco switches, which Bill prefers to quote every time, which is a proven case, there were bundles of researchers saying, "I told you guys!" Nobody paid attention to those researchers, and Edward Snowden was smart enough to get the mass media representation in there. But there's one thing, a question I have for Sabjeet, because in the two parties strategy, it is interesting that you always take out the European Union as part. And the European Union is a big player, and it will continue to grow. It has a growing amount of trade agreements with a growing amount of countries, and I still hope, and I think think Bill -- >> Well, I think the number of countries is reducing, you've just lost one! >> Only one. (Bill laughing loudly) Actually though, those are four countries under one kingdom, but that's another point. (Bill chortling heartily) >> Guys, final topic, 5G impact, 'cause you mentioned Cisco, couldn't help think about -- >> Let me finish please my question, John. >> Okay, go ahead. How would you the United States respond if the European Union would now legalize to spy on everybody and every company, and every governmental institution within the United States and say, "No, no, it's our privilege, we need that." How would the United States respond? >> You can try that and see economically what happens to you, that's how the village politics work, you have to listen to the mightier than you, and we are economically mightier, that's the fact. Actually it's hard to swallow fact for, even for anybody else. >> If you guys built a great app, I would use it, and surveil all you want. >> Yeah, but so this is going to be driven by the economics. (John laughing) But the -- >> That's exactly what John said. >> This is going to be driven by the economics here. The big U.S. cloud firms are got to find this ruling enormously difficult for them, and they are inevitably going to lobby for a level of reform. And I think a level of a reform is needed. Nobody on your side is actually arguing very vociferously that the Cloud Act and the discrimination against Europeans is actually a particularly good idea. The problem is that once you've done the reform, are we going to believe you when you say, "Oh, it's all good now, we've stopped it!" Because with Crypto AG scandal in Switzerland you weren't exactly honest about what you were doing. With the FISA courts, so I mean FISA secret courts, the secret warrants, how do we know and what proof can we have that you've stopped doing all these bad things? And I think one of the challenges, A, going to be the reform, and then B, got to be able to show that you actually got your act together and you're now clean. And until you can solve those two, many of your big tech companies are going to be at a competitive disadvantage, and they're going to be screaming for this reform. >> Well, I think that, you know, General Mattis said in his book about Trump and the United states, is that you need alliances, and I think your point about trust and executing together, without alliances, it really doesn't work. So, unless there's some sort of real alliance, (laughs) like understanding that there's going to be some teamwork here, (Bill laughing) I don't think it's going to go anywhere. So, otherwise it'll continue to be siloed and network based, right? So to the village point, if TikTok can become a massively successful app, and they're surveilling, so and then we have to decide that we're going to put up with that, I mean, that's not my decision, but that's what's goin' on here. It's like, what is TikTok, is it good or bad? Amazon sent out an email, and they've retracted it, that's because it went public. I guarantee you that they're talkin' about that at Amazon, like, "Why would we want infiltration by the Chinese?" And I'm speculating, I have no data, I'm just saying, you know. They email those out, then they pull it back, "Oh, we didn't mean to send that." Really, hmm? (laughs) You know, so this kind of -- >> But the TRA Balin's good, you always want to get TRA Balin out there. >> Yeah, exactly. There's some spying going on! So, this is the reality. >> So, John, you were talking about 5G, and I think you know, the role of 5G, you know, the battle between Cisco and Huawei, you just have to look at it this way, would you rather have the U.S. spy on you, or would you rather have China? And that's really your binary choice at this moment. And you know both is happening, and so the question is which one is better. Like, the one that you're in alliance with? The one that you're not in alliance with, the one that wants to bury you, and decimate your country, and steal all your secrets and then commercialize 'em? Or the one kind of does it, but doesn't really do it explicitly? So, you've got to choose. (laughs) >> It's supposed to be -- >> Or you can say no, we're going to create our own standard for 5G and kick both out, that's an option. >> It's probably not as straightforward a question as, or an answer to that question as you say, because if we were to fast-forward 50 years, I would argue that China is going to be the largest trading nation in the world. I believe that China is going to have the upper hand on many of these technologies, and therefore why would we not want to use some of their innovation, some of their technology, why would we not actually be more orientated around trading with them than we might be with the U.S.? I think the U.S. is throwing its weight around at this moment in time, but if we were to fast-forward I think looking in the longterm, if I had to put my money on Huawei or some of its competitors, I think given its level of investments in research and whatever, I think the better longterm bet is Huawei. >> No, no, actually you guys need to pick a camp. It's a village again. You have to pick a camp, you can't be with both guys. >> Global village. >> Oh, right, so we have to go with the guys that have been spying on us? >> How do you know the Chinese haven't been spying on you? (Ray and John laughing loudly) >> I think I'm very happy, you find a backdoor in the Huawei equipment and you show it to us, we'll take them to task on it. But don't start bullying us into making decisions based on what-ifs. >> I don't think I'm, I'm not qualified to represent the U.S., but what we would want to say is that if you look at the dynamics of what's going on, China, we've been studying that as well in terms of the geopolitical aspects of what happens in technology, they have to do what they're doing right now. Because in 20 years our population dynamics go like this, right? You've got the one child policy, and they won't have the ability to go out and fight for those same resources where they are, so what they're doing makes sense from a country perspective and country policy. But I think they're going to look like Japan in 20 years, right? Because the xenophobia, the lack of immigration, the lack of inside stuff coming in, an aging population. I mean, those are all factors that slow down your economy in the long run. And the lack of bringing new people in for ideas, I mean that's part of it, they're a closed system. And so I think the longterm dynamics of every closed system is that they tend to fail versus open systems. So, I'm not sure, they may have better technology along the way. But I think a lot of us are probably in the camp now thinking that we're not going to aid and abet them, in that sense to get there. >> You're competing a country with a company, I didn't say that China had necessarily everything rosy in its future, it'll be a bigger economy, and it'll be a bigger trading partner, but it's got its problems, the one child policy and the repercussions of that. But that is not one of the things, Huawei, I think Huawei's a massively unlimited company that has got a massive lead, certainly in 5G technology, and may continue to maintain a lead into 6G and beyond. >> Oh yeah, yeah, Huawei's done a great job on the 5G side, and I don't disagree with that. And they're ahead in many aspects compared to the U.S., and they're already working on the 6G technologies as well, and the roll outs have been further ahead. So, that's definitely -- >> And they've got a great backer too, the financer, the country China. Okay guys, (Ray laughing) let's wrap up the segment. Thanks for everyone's time. Final thoughts, just each of you on this core issue of the news that we discussed and the impact that was the conversation. What's the core issue? What should people think about? What's your solution? What's your opinion of how this plays out? Just final statements. We'll start with Bill, Ray, Sarbjeet and JD. >> All I'm going to ask you is stop spying on us, treat us equally, treat us like the allies that we are, and then I think we've got to a bright future together! >> John: Ray? >> I would say that Bill's right in that aspect in terms of how security agreements work, I think that we've needed to be more explicit about those. I can't represent the U.S. government, but I think the larger issue is really how do we view privacy, and how we do trade offs between security and convenience, and you know, what's required for personalization, and companies that are built on data. So, the sooner we get to those kind of rules, an understanding of what's possible, what's a consensus between different countries and companies, I think the better off we will all be a society. >> Yeah, I believe the most important kind of independence is the economic independence. Like, economically sound parties dictate the terms, that's what U.S. is doing. And the smaller countries have to live with it or pick the other bigger player, number two in this case is China. John said earlier, I think, also what JD said is the fine balance between national security and the privacy. You can't have, you have to strike that balance, because the rogue actors are sitting in your country, and across the boundaries of the countries, right? So, it's not that FISA is being fought by Europeans only. Our internal people are fighting that too, like how when you are mining our data, like what are you using it for? Like, I get concerned too, when you can use that data against me, that you have some data against me, right? So, I think it's the fine balance between security and privacy, we have to strike that. Awesome. JD? I'll include a little fake check, fact check, at the moment China is the largest economy, the European Union is the second largest economy, followed directly by the USA, it's a very small difference, and I recommend that these two big parties behind the largest economy start to collaborate and start to do that eye to eye, because if you want to balance the economical and manufacturing power of China, you cannot do that as being number two and number three. You have to join up forces, and that starts with sticking with the treaties that you signed, and that has not happened in the past, almost four years. So, let's go back to the table, let's work on rules where from both sides the rights and the privileges are properly reflected, and then do the most important thing, stick to them! >> Yep, I think that's awesome. I think I would say that these young kids in high school and college, they need to come up and solve the problems, this is going to be a new generational shift where the geopolitical landscape will change radically, you mentioned the top three there. And new alliances, new kinds of re-imagination has to be there, and from America's standpoint I'll just say that I'd like to see lawmakers have, instead of a LinkedIn handle, a GitHub handle. You know, when they all go out on campaign talk about what code they've written. So, I think having a technical background or some sort of knowledge of computer science and how the internet works with sociology and societal impact will be critical for our citizenships to advance. So, you know rather a lawyer, right so? (laughs) Maybe get some law involved in that, I mean the critical lawyers, but today most people are lawyers in American politics, but show me a GitHub handle of that congressman, that senator, I'd be impressed. So, that's what we need. >> Thanks, good night! >> Ray, you want to say something? >> I wanted to say something, because I thought the U.S. economy was 21 trillion, the EU is sittin' at about 16, and China was sitting about 14, but okay, I don't know. >> You need to do math man. >> Hey, we went over our 30 minutes time, we can do an hour with you guys, so you're still good. (laughs) >> Can't take anymore. >> No go on, get in there, go at it when you've got something to say. >> I don't think it's immaterial the exact size of the economy, I think that we're better off collaborating on even and fair terms, we are -- >> We're all better off collaborating. >> Yeah. >> Gentlemen -- >> But the collaboration has to be on equal and fair terms, you know. (laughs) >> How do you define fair, good point. Fair and balanced, you know, we've got the new -- >> We did define fair, we struck a treaty! We absolutely defined it, absolutely! >> Yeah. >> And then one side didn't stick to it. >> We will leave it right there, and we'll follow up (Bill laughing) in a later conversation. Gentlemen, you guys are good. Thank you. (relaxing electronic music)

Published Date : Aug 3 2020

SUMMARY :

leaders all around the world, the EU killing the privacy it unless you are Dutch, Great to have you on, appreciate it, (Bill laughing) that's the BBC headline. about FISA and the Cloud Act and that is the sort of secret courts and also the rights of Europeans, runs the servers anymore, and the marketing of the data. So, the question that comes in my mind, that you give to your own citizens. A hostile takeover of the and the institutions I mean to me it's like, do and when you have the right to say no. and take away from the and the innovation that we I mean I think it's like when, you know, because most of the European member states and unless you can lobby your that the governments have to agree upon and Ray, you articulated I think we can describe Can I add another axis? and privacy. and the east coast as a technical person, They really don't understand. I'm not claiming ours are And so what you have is a fight of the laws in Europe You have to like, back up a massive lack of innovation. and the maximization of and the government checking power and that these are the side effects, and that has driven an enormous You know, 9/11 happened because of them, to take out cyber attacks. that it's Europeans I mean, if I put my line on the line Part of the spying internally and citizens and people in the system And I don't think we support the need for security. for the Americans to be spying on us. I mean I'm sure they do. and I know for a fact the I just got to remember that. that authorizes the surveillance some of the individual properties, Yeah, but just 'cause the in the Senate and the House, gettable in the United States, and data's getting back to a competitor, the CIA is selling the data (laughs) and that they're not that the Russian and that's how I see the Middle East and all that stuff. We didn't expect to be spied on by you, But, but you have to Where's the evidence on the surveillance, given the awareness of the I want to know. and it's something that but that's another point. if the European Union would now legalize that's how the village politics work, and surveil all you want. But the -- that the Cloud Act and the about Trump and the United states, But the TRA Balin's good, So, this is the reality. and so the question is and kick both out, that's an option. I believe that China is You have to pick a camp, and you show it to us, we'll is that they tend to But that is not one of the things, Huawei, and the roll outs have been further ahead. and the impact that was the conversation. So, the sooner we get and across the boundaries and how the internet works the EU is sittin' at about 16, we can do an hour with you guys, go at it when you've got something to say. But the collaboration Fair and balanced, you Gentlemen, you guys are good.

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Raj Verma, MemSQL | CUBEConversation, July 2020


 

>> Narrator: From theCUBE's studios in Palo Alto, in Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Welcome to this CUBE conversation. I'm Lisa Martin. And today joining me is CUBE alumni, the co-CEO of Mem-SQL, Raj Verma. Raj, welcome back to theCUBE. >> Thank you Lisa. It's great to be back, and it's so good to see you. >> Likewise. So since we last saw each other, a lot of changes going on everywhere. You're now the co-CEO of Mem-SQL. The CEO's role is changing dramatically in this year, and the last few months. Talk to us about some of those changes. >> Yeah. Where do I even start? I was just listening to something or watching something, and it said, in leadership one thing that they never tell you is, you don't find the event, the event finds you. And you know, it was four and a half, almost five months ago, we were at our SQL and if someone had said to me then that we'll be quarantined for five months following that, and most, more likely seven months, I probably wouldn't have believed them. And if I did, I would have gone and start crying. It's been sort of a lot of change for us. The one thing is for sure, as the CEO, I probably made more compelling decisions in the last four months than I probably made in the year prior to that. So there is a lot of decisions, important decisions that are being made now. I think the thing that's impressed me the most about just the human race per se in the last four and a half, five months is the resilience. The adaptability of just the community, and the race at large. There is a lot of goodness that we've seen happen. I think that is a greater appreciation for the life that we sort of had. And I think when everything does one day come back to normal, we would be a lot more appreciative and nicer just as individuals. Now as CEO, I think the first order of duty for me was to embrace our employees and my colleagues. It's a drawing set of circumstances for them, worrying about their health, the health of their aged parents, of their families well being, and whether they have a job or not, and how the economic environment would pan out. So I think it was just a ... My number one priority at the start and continues to be till today were our colleagues and the employees of Mem-SQL. And the first few decisions that we made were 100% employee centric. None of the big ones that was taking the pledge of no retrenchments or no workforce reduction for 90 days to begin with. And we've continued that. We haven't really reduced any employee headcount at all. The second was to go in turn embrace our customers and deliver to the promise that we had in normal times, and help them get back to as much of a normalcy as they could. And the third was to do whatever we could, to use our technology, our efforts, our resources, to help society at large. Whether it was to track and tracing projects that we did for a large telco or a telco in the Middle East, a telco in Asia. And we've put our resources there. Our aura is to just using our platform to heighten public awareness around Juneteenth, and other sort of social issues. Because I think in times of almost societal isolation, using your platform and being a voice for what you stand for is more important than ever before. And those were really the three things that stand out apart from just normal decisions, normal decisions that you make to make sure that you are well-capitalized, that you have enough cash to run your business, that all the fundamentals of the business are sound. So yeah. >> So lots of decisions on a massively accelerated scale, more than the last 10 years. But big strategic decisions made in a quick time period for employees, for customers, for how do we use our platform, what is the key that you need in order to make those decisions, as strategically as you can like that? >> Yeah, you got to lens it through, what is the why of your organization, Our advice is very simple, we want to be the platform of decision making, or what we call the platform of now. Where we can marry historical information with the real time operational data being streamed in to your organization, and be able to deliver up reports and insights that you need for quick decision making in other organizations. So delivering up the now. Internally, when sort of presented with options to make decisions, the lens that I've used is, what's in the best interest of our employees, what's in the best interest of our customers and what is in the best interest of our investors and stakeholders. And if you apply that lens, the decisions aren't actually that difficult. You will never have a 100% of the data that you need to make a decision. So, lensing it through your priorities becomes extremely, extremely important. The other aspect that having data though, having said that, having data now to make decisions is more important than ever before. Because you do not have the sort of physical cues to depend on or clues to depend on. I'm still finding it hard to read the digital clues on Zoom or Google Hangouts or Teams, or what have you. So you just have to have a very steeped-in data decision making, marrying it with, what is it that you stand for as an organization? And the third vector that we've put to this is very simple. We as an organization stand fort authenticity. We like to simplify rather than complicate. And we need to demonstrate courage over comfort. And those are the other vectors that we use to make the majority of our strategic decisions. >> So if data... For years, you've heard this all over the tech circuit, Raj, data's the new gold, data's the new oil. Now you're saying it's even more important than ever in this unprecedented time. How does Mem-SQL help customers get access to as much data as they can to make really fast strategic decisions. To not just survive in this mode, but thrive? >> Yeah, I think two questions, what is the data and the value of data? And you're absolutely right. The value of data now is more than ever before. And also the amount of data that is now being produced is more than ever before. So it's actually a pretty, pretty nontrivial issue to solve. And I think the first thought is that you can't solve the problems of tomorrow with the technology of yesterday. You cannot solve the problems of tomorrow, using a technology that was built for a different era, which was built 45 years ago, 25 years ago. And you know, some of the tenants of the technology are still steeped in. Let's just call it heritage. So first and foremost, the realization that the problems of tomorrow need the tools of now and the talent of now, and the management of now, and the leadership of now to solve it, is paramount. What we do as a technology company, and a lot of companies in our genre called hard tech is exactly that. It's hard tech. It takes a lot of talent, it takes a lot of time, resources, money, clarity of thought to build something which will solve the problems of today and of tomorrow. And today the challenges we actually have is, the real time nature of decision making of interactions, of experience, of security, of compliance, are more exaggerated than ever before. And how do you marry real time information with historical information in the cheapest, easiest to deploy flexible architecture is of paramount importance. And that's exactly what we do, Lisa. We give you a database that is arguably the fastest in the world from a query speed standpoint, the scale's more than any other database in our genre, it has data governance by virtue of us being sequel, it's hybrid multi-cloud so it doesn't lock you in, and it's a among the easiest to use. So, I don't know what the future would bring, Lisa, but one thing I can assure you is, there are five things which wouldn't change which is developers would prefer faster over slow, cheaper over fast, flexible over rigid, ease of use over complexity of use, and a secure, safe platform versus the alternative. And if you have those five tenants, I think you'd be pretty well-versed with solving the problems of today and tomorrow. >> You mentioned real time a minute ago, and that's, I think right now during the COVID-19 crisis, there's nothing that highlights the urgency of which we need information real time. It's not going to help us if it's 24 or 48 hours old. How does Mem-SQL deliver real time insights to customers, whether it's a telecommunications company looking to do contact tracing or a bank? >> Yeah. So let me start with a couple of examples, a very large telephone provider, telecommunication providers in the States, uses us for metric telemetry. So how many calls did Lisa make, how many texts did she send, what time? Without purpose, the privacy attached to it. When did she experienced a call drop, what's the coverage at her home, is the sort of a mobile tower close to her place going to go down, and what would be the inconvenience? All of that. So copious amounts of data required to really deliver a customer experience. And it's a hard enough problem because the amount of data as you can imagine is extremely, extremely, extremely large. But when COVID-19 struck, the data became that much more important, because now it was a tool that you could use as a company to be able to describe or follow cohorts of subscribers in hotbeds like New York at that time. And see which States they were actually, let's call it "fleeing" to or moving to. And to be able to do that in near real time was not good enough, because you had to actually do it in real time. To be able to track where the PPEs work in near real time was not good enough, it had to be real time. And to track where the ventilators were in near real time wasn't good enough. You just needed to do that. And I think that probably is one of the biggest examples of real time that we have in the recent past, and something that we are most proud of. How did we do that? We built this hard tech based on first principles. We didn't try and put a lipstick on a pig, we didn't try and re-architect a 45-year-old technology or a 15-year-old technology. We just said that if we actually had a plain sheet of paper, what would we do? And we said, the need of the future is going to be fast over slow, as I said, you know, cheap or expensive, flexible over rigid, safe over the other alternatives and ease of use. And that's what we've built. And the world will see the amount of difference that we make to organizations and more importantly to society, which is very near and dear to my heart. And yeah, that's what I'm extremely proud, and optimistic about. >> Talk to me about some of the customer conversations that you're having now. I've known you for many years. You're a very charismatic speaker. As you were saying a few minutes ago, it's hard to read body language on Zoom and video conferences. How are those customer conversations going, and how have they changed? >> A lot has changed. I think there are a couple of aspects that you touch upon. One is just getting used to your digital work day. Initially we thought it was two weeks and it's great. You don't have to commute and all the rest of it. And then you started to realize, and the other thing was, everyone was available. There's no one who was traveling. There were no birthday parties. There's no picking up a kid from baseball or school or swimming or whatever. So everyone was available. And we were like, "Wow, this is great, no commute, everyone's available. Let's start meeting and interacting." And then you realize after a while that this digital workday is extremely, extremely exhausting. And if you weren't deliberate about it, it can fill your entire day, and you don't get much done. So one of the things that I've started to do is, I don't get on a digital call unless of course it's a customer or something extremely, extremely important till 11:00 AM. That's my thinking time, it's just, you know, eight to 11 is untouched and people I want to call rather than my calendar describing what my priorities should be. And it's the same thing for our customers as well, in a slightly different way. They are trying to decide and come to terms with not only what today means to them, but what the realities of today means for tomorrow. I'll give you an example of a very, very large bank in the United States, a rich consumer bank, which is essentially believed in the fact that customer relations were the most and customer relationship managers were the most important role for them. They are thinking about moving to bots. So the fact that you would be interacting with bots when you reach your bank is going to be a reality. There is no if and and buts about it. A very, very large company providing financial services, is now trying to see, how do you make the digital platforms more responsive? How do you make analytics foster more responsive and collaborative? Those are really the focus of C-suite attention, rather than which building do we call after our company and add towers to it. Or what coffee machine should we buy for the organization, or should we have a whiskey bar or a wine bar in our office? Now the ... Just the mundaneness of those decisions are coming up. And now the focus is how do we not only survive, to your point, Lisa, but thrive in the digital collaboration economy. And it's going to be about responsiveness. It's going to be about speed. And it's going to be about security and compliance. >> At the end of the day, kind of wrapping things up here, COVID or not the customer experience is critical, right, it's the lifeblood of what your organization delivers. The success of your customers, and their ability to make major business impact is what speaks to Mem-SQL's capabilities. A customer experience I know is always near and dear to your heart. And it sounds like that's something that you have modified for the situation, that really Mem-SQL focused on, not just the customer experience, but your employee experience as well. >> That's exactly it. And I think if you do right by the employees, they'll do right by the customers. And I would any day, any day put the employee first lens to any decision that we make. And that's paid off for us in spades. We've got a family environment, I genuinely, genuinely care about every single employee of Mem-SQL and their families. And we've communicated that often, we have listened, we have learned, these are unprecedented times. There isn't a manual to go through COVID-19 work environment. And I think the realization that we just don't know what tomorrow would bring, it's actually very liberating because it just frees you from rinsing and repeating, and further feeding your prejudice and biases, to getting up every day and say, "Let me learn as much as I can about the current environment, current realities, lens it through our priorities, and make the best decision that we can." And if you're wrong, accept and correct it. Nothing too intellectual, but it's in the simplicity that sometimes you find a lot of solace. >> Yeah. Simplicity in these times would be great. I think you're ... I like how you talked about the opportunities. There's a lot of positive COVID catalysts that are coming from this. And we want to thank you for sharing some time with us today, talking about the changing role of the C-suite, and the opportunities that it brings. Raj it's been great to have you on theCUBE. >> As always Lisa. It's a pleasure. Thank you. >> For the co-CEO of Mem-SQL, Raj Verma, I'm Lisa Martin. You're watching theCUBE conversation.

Published Date : Jul 31 2020

SUMMARY :

leaders all around the world, the co-CEO of Mem-SQL, Raj Verma. it's so good to see you. and the last few months. And the third was to do whatever we could, more than the last 10 years. of the data that you need all over the tech circuit, Raj, and it's a among the easiest to use. during the COVID-19 crisis, And the world will see the the customer conversations So the fact that you would it's the lifeblood of what and make the best decision that we can." and the opportunities that it brings. Thank you. For the co-CEO of Mem-SQL, Raj Verma,

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Mohammed A Haque and Damian Doyle V1


 

>>from the Cube Studios in Palo Alto and Boston, connecting with thought leaders >>all around the world. >>This is a cube conversation. Hi, and welcome to a special production of the Cube. We're talking to the Amazon Web services, public sector, their partner awards program. I'm your host stew minimum, and we're digging in on education is one of the sectors. Of course, public sector looks at non profits. It looks at the government sectors. Education, Of course, when we talk about remote learning is such a huge, important topic, especially right now in 2020 with a global pandemic so happy to welcome to the program. We have two guests. First of all, we're representing the award winning company Mohammad. He is the co founder and senior vice president of architecture and engineering with Lumen and joining his one of his customers, Damien Doyle, who is the associate vice president of Enterprise Infrastructure Solutions at the University of Maryland, Baltimore County, or UMBC. As it's known, gentlemen, thanks so much for joining us. >>Thank you. Thanks for having us. >>Alright. First of all, Mohammed, congratulations. As I said in my intro, you know, such an important topic and I have two Children that are, you know, dealing with remote learning have lots of friends that were in higher education and, you know, in the technology space. So your company is the 2020 AWS Public Sector Award winner for best remote learning. I'm sure there is a space that has a lot of competition on. Of course, leveraging public cloud is a great way to be able to ramp this sort of thing up rather fast. Give us a little bit. You know, you are the co founder. So would love to hear a little bit of the origin story, your background and Ellis about what differentiates the looming >>sure loom in we provide ah manage products and services around end user compute with a focus on education for providing access to applications and other technology. Resource is, of course, content course applications in the public cloud, so that users are able to use, you know, whatever device they have wherever they are, um so and have access to those applications that are required for completing that force work they could be in, you know, in at home, in their dorms, at a corner coffee shop on the side of a mountain in the Middle East wherever they may be. But leveling that playing fears playing field so that they could access, um, have access to any of the demanding applications on any device is what we're You know, What our goal is is to make sure that we're not having technology be a barrier to their learning. >>Fantastic. Damien, If if we could turn to you, then atyou NBC, maybe if you could give our audience Ah, thumbnail of you know, the university and I have some idea of the challenge that was put in front of you when you talk about the learning. But maybe you could give us a little bit of the pre cove it and, uh, you know what? What you were faced in and what you were looking at when it came to dealing with the current situation. >>Sure be happy to So where you? NBC is a mid sized public institution. We're sort of suburban, about 14,000 students, and we have undergrad, graduate and doctoral programs, and we have a heavy focus on a lot of the stem disciplines. And so pre cove, it very based in collaborative environments, active learning but but hands on. So a lot of our programs really do have a lot of that. We leverage technology very heavily, even if it's in whether it's an engineering biology, any of those kinds of programs. Uh huh. As you said that the challenge became how do you very quickly pivot into an entirely online model when you sort of scatter shot all of your students and you don't really have a great sense of what they're gonna have access to and, um, and the abilities and connectivity they're gonna have. So this this kind of thing was really critical for us as we made that transition. >>Excellent. Mohammed, Were you working with you, NBC before the current move toe Go, go remote. Give us a little bit about the relationship and how that started. >>I believe, actually that the pandemic was the impetus to kind of drive this forward. Damien and his team reached out to loom in looking for a solution that would allow them to kind of have students access the applications that they normally would have access to in their physical computer labs. But with ah the change and not having to access those labs anymore needed a remote learning solution. A remote access solution for being able to access those high compute high graphics processing or memory intensive applications through the cloud. Taking into account the fact that you know, students won't have you know, that the highest end computer laptop, you know, they probably be working on a chromebook or a lower and machine, but need that compute power on. And then we had to kind of provide a solution pretty quickly because it was, you know, schools were shutting down, essentially physically started shutting down and needing to continue on with their coursework. Coursework? >>Yeah, Dave and I like to understand from your side. Can you share with us a little bit that time frames, you know, how fast did you go from? Oh, my gosh, We need this. We need proposals. We need to roll this out, and we need to have students. Ah, in teachers back up and running. >>Well, you know, I think the one thing from our side we had already known of element and we've been looking at that pre cove it. We knew we needed a product that that provided us this kind of agility and really gave the students some better access to the computing tools that they need it. So once we identify that, the thing that was amazing to me is is we moved from our existing system over to production illumination. It was about 2.5 weeks sort of start to finish and, you know, to get all the images to get all the technology running tested and everything up and running in 2.5 weeks for a full solution for a campus is was pretty amazing. And that was one of the real benefits we saw was going to the cloud. We also looked at this outside of code as something that really provided a major benefit to the students so that they could work from anywhere at any time rather than be sort of tethered to that physical lab. >>Well, I'm glad you raised that. So if you could Damien a little bit, you know, help us understand. How much are you using A cloud before? And it sounds like you believe that, you know, in the you know, I guess if we say postcode world, you would probably have some hybrid model. Would that be fair to say, >>Yeah, I think before we did have a different solution that was still cloud based. It was part of our business continuity. So we still had some semblance of virtual computing solution in the cloud. But it wasn't that extensive. And a lot of our individual programs chemical engineering, geography and others were using physical labs that the students would sort of scheduled times and be able to work in as part of their coursework. Uh, coming out of this, we fully expect if, if we're going on extended period of time where students are able to access these materials and these demanding software packages at any time from any kind of device coming out of cove it they're not gonna want to go back to that model where they're asking, you know, they have to get permission and go in and limited hours into a physical lab and sit there. This is going to be the expectation going forward is that they have this kind of access and this kind of flexibility from now. >>Yeah, this is I mean, they've gotten a taste essentially, and so, you know, they they see how easy it is to complete their coursework without actually having to trek across campus into a lab and kind of fight with the population to find a seat. This basically will become an expectation of an offering. >>Mohammed, what I'd love if you could drill in a little bit for us there, Architecturally speaking, of course, the cloud is built to be able to scale and move fast. So if you need capacity and need to scale up fast, that's great if in the future you still want to leverage the solution. But you can scale down, that should be possible. So maybe give us a little bit of you know how aws arc. It actually supports what you're doing and, you know, just from a pricing solution standpoint, how you'll be able to support the customer in today's environment. And however that path goes down the road, you'll be able to support that, >>right? I mean, so, you know, with the AWS cloud, we're able to, as you said, scale up or down as demand is needed. But we we've taken that even a little bit further where we're scaling based off of, um, students scheduling. So if we've got, of course, that we know that is running from 10 AM to 11 AM Your prior to that core starting will scale the environment up so that it's available for those students. If it's not, you know, more of, ah, in course, lab session, um, and then spin things back down after the course is done so that we don't have that those many, many machines sitting there running and burning the hours and running up the bill. You know, physical environment. You know, once you've installed it, it's there. It's always running. You cannot do that. But with the power of the cloud, we're able to go up and down. We're able to take things. Uh, you know, scale things down off hours. If we look at the patterns for a student usage, you know, off hours overnight take things down because you don't need those machines sitting there running, running all the time. >>And this is one of the biggest differentiators so many times in higher ed. We struggle to have to explain to companies and vendors and providers what our needs are and how we're very. We're very different from corporations and other other verticals with the bloomin solution and the capabilities in AWS. But we're really having this Taylor to our students schedules to the class schedules, and that kind of flexibility makes the product economically viable for us. But it also means that we don't get nearly the kind of push back from the academic side because it is really Taylor to meet their needs versus just something we're kind of shoehorning in. So that makes a huge difference in terms of adoption and the way it's perceived from a marketing, marketing and acceptance standpoint. Yeah, >>Dave and I'm curious. Once you did that initial rollout, how much of an on ramp is there for both the education, the educators side as well as student side? And you talked about having some flexibility as to how and when students use thing. That sounds great, but do you have to change, you know, office hours or the hours that the staff are leveraging that I'm just trying to understand the you know, the ripple effect of what you're doing? >>No, it's It's a fair point. We have done fairly extensive training. The students picked it up very quickly. What we with students? If there is a tool that they can use to do their work more effectively. They're going to use it, whether it's something we provide or something they find through other means. But what we've done is is reached out to all of our faculty that were training, that we're teaching in our physical labs and try to work with them to understand what the solution is, how they can sort of rethink some of their classes. And a couple of our departments have actually taking a approach of rather than said everybody in a virtual lab the same way they would sit people in a physical lab. They're moving some of this team or a synchronous so that the students can serve, work at their own pace and rethink how they structure some of those classes because of the flexibility being provided. But it does take a lot of training from the instructional side and some rethinking off this. But it the end solution is something that reaches the students where they are and the way they want to learn, which is a really powerful thing. We're always trying to do >>excellent, Mohammed. I'm wondering just broadly learnings that you have from what what's been happening Obviously, I'm sure you've been quite busy and responding to things. You know, what's been the impact on your business, how as a ws been as a partner to support the needs of what you're doing. >>Well, as you can imagine, the other things that just really blown up, Um, in terms of demand and being able to again through the plant power of the cloud, just being able to scale up and rapid deployment, you know, as we talk about earlier this deployment was, you know, 2 2.5 weeks from start to finish. Being able to do that, being able to do that with AWS tools have been, um, critical and moving things forward. >>Excellent. Uh, Damien, it's a sit back to you on this. You know, obviously, if you had had, you know, more time be able to plan this out if there might be some things that you would do differently. But what have your learnings been with this? And if you've been talking to your peers, any advice that you would give, uh, you know, as you've moved through this this rapid acceleration of the move to remote >>you Certainly. I think we would have certainly done some things differently. But we have been talking about this move for three or four months ahead of Covitz. So for us it wasn't. It wasn't quite as rushed as the actual deployment wound up being. I think the big thing is having having a vendor and having a partner where you can understand all the options. So the good and bad of the cloud is there's 100 different ways to do almost anything you want to accomplish and taking the time to understand what the different features and the ramifications of how you how you deploy and how you think. Think through that for us. We deployed one way because we could do it very quickly. And then we took the rest of the semester and part of this summer to do some more thorough evaluations to really ask our constituents you like this method or do you like some of the other, possibly some of the other possibilities and see which user experience they liked more? And then we're able to work with illumination, and they've been ableto very nimble in adjusting the services to meet what we've gotten our feedback on. So I think if I had to do it again, I would have done that testing ahead of time. But that's a very minor thing. These air really sort of small tweaks to just make life a little easier. Not fundamental differences in the what we're providing. >>Yeah, I'm Damien. What? One last question if I could, um sorry. Sorry, Mohammed. Just I'm curious from the financial standpoint, you know how much you felt that you understood what costs would be in some of the levers as to what are you using in the impact there? We've seen, you know, great maturation over the last handful of years. As toe. Yeah, you know, transparency and understanding how cloud actually is build. But I'm just curious if you have any final comments on the financial piece things, seeing that, it probably wasn't something that was in your budget for the last quarter. Yeah, >>it wasn't. That's very true. But we also knew that it was essential so that what we realized was we didn't know how often a lot of our physical labs and these classes were being used. So we knew there was going to be some unknowns. We've moved to this would have to see what adoption was but be able to get the reporting out and working with Mohammed and others to really start customizing in the cloud. That's the beauty of it is we recognize we saw some really fascinating patterns where during the week people would use this sort of as you'd expect. But on the weekends it was in the evenings. Nobody, nobody is logging on Saturday or Sunday morning. But boy at eight PM there's a good bit of usage so we could tailor and do some of that off hours work and really slows things down. Having that visibility has made the economic piece much more viable and really being able to tweak the computing power with two different needs of the different classes. So it's actually been fairly easy to understand, but it was a ramp up where we have to sort of guess at first and then understand our own processes. But that's more sort of the If you don't have good data coming in, it's hard to get it. Get it out. Excellent. Mohammad, I >>want you to kind of give your lessons learned. Obviously, it's a technology space. You've been in. Ah, and it's just been an acceleration of some of the things you're working on. So lessons learned advice you would give Teoh, you know, other companies of the universities and education No facilities out there, >>Right? And, you know, this is again speaking to the power of the cloud, right? Some of that one of the biggest lessons learned here is you don't necessarily need to get it right the first time. It's name and saying was saying, You know, we went back kind of analyze what we were staying in after the initial deployment, took a look at the actual usage and kind of adjusted, based based off of that. According to that, taking and feedback from faculty members on how they were using a system in tweaking the presentation or tweaking applications on the back end for accommodating those needs. That's the power of the cloud being able to adjust on the fly. You're not. You don't have to be committed to every single bit there. Uh, and being able to change it on the fly is is just something that is kind of natural in the cloud these days. >>Excellent. Well, thank you both. So much for joining us, Damien. Thank you for joining and moving forward. Sharing your story. I wish you the best of luck going forward. And Mohammed Big. Congratulations on winning. You know, super important category. Especially here in 20. Funny congratulations to you and the team. >>Thank you. >>Yeah, Thank you. Alright, stay tuned for more coverage here from the AWS public sector is their partner awards program. I'm Stew men a man And thank you for watching the Cube. Yeah, yeah, yeah, yeah.

Published Date : Jul 17 2020

SUMMARY :

We're talking to the Amazon Web services, Thanks for having us. and, you know, in the technology space. that force work they could be in, you know, in at home, have some idea of the challenge that was put in front of you when As you said that the challenge became how do the current move toe Go, go remote. Taking into account the fact that you know, students won't have time frames, you know, how fast did you go from? you know, to get all the images to get all the technology running tested and everything up and running I guess if we say postcode world, you would probably have some hybrid model. you know, they have to get permission and go in and limited hours into a physical lab and sit there. Yeah, this is I mean, they've gotten a taste essentially, and so, you know, of course, the cloud is built to be able to scale and move fast. I mean, so, you know, with the AWS cloud, we're able to, as you said, scale up or down as demand But it also means that we don't get nearly the kind of push back from the academic side the staff are leveraging that I'm just trying to understand the you know, is something that reaches the students where they are and the way they want to learn, I'm wondering just broadly learnings that you have from rapid deployment, you know, as we talk about earlier this deployment was, you know, as you've moved through this this rapid acceleration of the move to remote So the good and bad of the cloud is there's 100 different ways to do almost anything you want to accomplish Just I'm curious from the financial standpoint, you know how much But that's more sort of the If you don't have good data So lessons learned advice you would give Teoh, you know, other companies Some of that one of the biggest lessons learned here is you don't necessarily need to get it right the first time. Funny congratulations to you and the team. I'm Stew men a man And thank you for watching the Cube.

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