>> Hello everyone. Welcome to theCUBE's coverage of International Women's Day. I'm John Furrier, host of theCUBE been profiling the leaders in the technology world, women in technology from developers to the boardroom, everything in between. We have two great guests promoting in from Malaysia. Nancy Wang is the general manager, also CUBE alumni from AWS Data Protection, and founder and board chair of Advancing Women in Tech, awit.org. And of course Kate Watts who's the executive director of Advancing Women in Tech.org. So it's awit.org. Nancy, Kate, thanks for coming all the way across remotely from Malaysia. >> Of course, we're coming to you as fast as our internet bandwidth will allow us. And you know, I'm just thrilled today that you get to see a whole nother aspect of my life, right? Because typically we talk about AWS, and here we're talking about a topic near and dear to my heart. >> Well, Nancy, I love the fact that you're spending a lot of time taking the empowerment to go out and help the industries and helping with the advancement of women in tech. Kate, the executive director it's a 501C3, it's nonprofit, dedicating to accelerating the careers of women in groups in tech. Can you talk about the organization? >> Yes, I can. So Advancing Women in Tech was founded in 2017 in order to fix some of the pathway problems that we're seeing on the rise to leadership in the industry. And so we specifically focus on supporting mid-level women in technical roles, get into higher positions. We do that in a few different ways through mentorship programs through building technical skills and by connecting people to a supportive community. So you have your peer network and then a vertical sort of relationships to help you navigate the next steps in your career. So to date we've served about 40,000 individuals globally and we're just looking to expand our reach and impact and be able to better support women in the industry. >> Nancy, talk about the creation, the origination story. How'd this all come together? Obviously the momentum, everyone in the industry's been focused on this for a long time. Where did AWIT come from? Advancing Women in Technology, that's the acronym. Advancing Women in Technology.org, where'd it come from? What's the origination story? >> Yeah, so AWIT really originated from this desire that I had, to Kate's point around, well if you look around right and you know, don't take my word for it, right? Look at stats, look at news reports, or just frankly go on your LinkedIn and see how many women in underrepresented groups are in senior technical leadership roles right out in the companies whose names we all know. And so that was my case back in 2016. And so when I first got the idea and back then I was actually at Google, just another large tech company in the valley, right? It was about how do we get more role models, how we get more, for example, women into leadership roles so they can bring up the next generation, right? And so this is actually part of a longer speech that I'm about to give on Wednesday and part of the US State Department speaker program. In fact, that's why Kate and I are here in Malaysia right now is working with over 200 women entrepreneurs from all over in Southeast Asia, including Malaysia Philippines, Vietnam, Borneo, you know, so many countries where having more women entrepreneurs can help raise the GDP right, and that fits within our overall mission of getting more women into top leadership roles in tech. >> You know, I was talking about Teresa Carlson she came on the program as well for this year this next season we're going to do. And she mentioned the decision between the US progress and international. And she's saying as much as it's still bad numbers, it's worse than outside the United States and needs to get better. Can you comment on the global aspect? You brought that up. I think it's super important to highlight that it's just not one area, it's a global evolution. >> Absolutely, so let me start, and I'd love to actually have Kate talk about our current programs and all of the international groups that we're working with. So as Teresa aptly mentioned there is so much work to be done not just outside the US and North Americas where typically tech nonprofits will focus, but rather if you think about the one to end model, right? For example when I was doing the product market fit workshop for the US State Department I had women dialing in from rice fields, right? So let me just pause there for a moment. They were holding their cell phones up near towers near trees just so that they can get a few minutes of time with me to do a workshop and how to accelerate their business. So if you don't call that the desire to propel oneself or accelerate oneself, not sure what is, right. And so it's really that passion that drove me to spend the next week and a half here working with local entrepreneurs working with policy makers so we can take advantage and really leverage that passion that people have, right? To accelerate more business globally. And so that's why, you know Kate will be leading our contingent with the United Nations Women Group, right? That is focused on women's economic empowerment because that's super important, right? One aspect can be sure, getting more directors, you know vice presidents into companies like Google and Amazon. But another is also how do you encourage more women around the world to start businesses, right? To reach economic and freedom independence, right? To overcome some of the maybe social barriers to becoming a leader in their own country. >> Yes, and if I think about our own programs and our model of being very intentional about supporting the learning development and skills of women and members of underrepresented groups we focused very much on providing global access to a number of our programs. For instance, our product management certification on Coursera or engineering management our upcoming women founders accelerator. We provide both access that you can get from anywhere. And then also very intentional programming that connects people into the networks to be able to further their networks and what they've learned through the skills online, so. >> Yeah, and something Kate just told me recently is these courses that Kate's mentioning, right? She was instrumental in working with the American Council on Education and so that our learners can actually get up to six college credits for taking these courses on product management engineering management, on cloud product management. And most recently we had our first organic one of our very first organic testimonials was from a woman's tech bootcamp in Nigeria, right? So if you think about the worldwide impact of these upskilling courses where frankly in the US we might take for granted right around the world as I mentioned, there are women dialing in from rice patties from other, you know, for example, outside the, you know corporate buildings in order to access this content. >> Can you think about the idea of, oh sorry, go ahead. >> Go ahead, no, go ahead Kate. >> I was going to say, if you can't see it, you can't become it. And so we are very intentional about ensuring that we have we're spotlighting the expertise of women and we are broadcasting that everywhere so that anybody coming up can gain the skills and the networks to be able to succeed in this industry. >> We'll make sure we get those links so we can promote them. Obviously we feel the same way getting the word out. I think a couple things I'd like to ask you guys cause I think you hit a great point. One is the economic advantage the numbers prove that diverse teams perform better number one, that's clear. So good point there. But I want to get your thoughts on the entrepreneurial equation. You mentioned founders and startups and there's also different makeups in different countries. It's not like the big corporations sometimes it's smaller business in certain areas the different cultures have different business sizes and business types. How do you guys see that factoring in outside the United States, say the big tech companies? Okay, yeah. The easy lower the access to get in education than stay with them, in other countries is it the same or is it more diverse in terms of business? >> So what really actually got us started with the US State Department was around our work with women founders. And I love for Kate to actually share her experience working with AWS startups in that capacity. But frankly, you know, we looked at the content and the mentor programs that were providing women who wanted to be executives, you know, quickly realize a lot of those same skills such as finding customers, right? Scaling your product and building channels can also apply to women founders, not just executives. And so early supporters of our efforts from firms such as Moderna up in Seattle, Emergence Ventures, Decibel Ventures in, you know, the Bay Area and a few others that we're working with right now. Right, they believed in the mission and really helped us scale out what is now our existing platform and offerings for women founders. >> Those are great firms by the way. And they also are very founder friendly and also understand the global workforce. I mean, that's a whole nother dimension. Okay, what's your reaction to all that? >> Yes, we have been very intentional about taking the product expertise and the learnings of women and in our network, we first worked with AWS startups to support the development of the curriculum for the recent accelerator for women founders that was held last spring. And so we're able to support 25 founders and also brought in the expertise of about 20 or 30 women from Advancing Women in Tech to be able to be the lead instructors and mentors for that. And so we have really realized that with this network and this individual sort of focus on product expertise building strong teams, we can take that information and bring it to folks everywhere. And so there is very much the intentionality of allowing founders allowing individuals to take the lessons and bring it to their individual circumstances and the cultures in which they are operating. But the product sense is a skill that we can support the development of and we're proud to do so. >> That's awesome. Nancy, I want to ask you some never really talk about data storage and AWS cloud greatness and goodness, here's different and you also work full-time at AWS and you're the founder or the chairman of this great organization. How do you balance both and do you get, they're getting behind you on this, Amazon is getting behind you on this. >> Well, as I say it's always easier to negotiate on the way in. But jokes aside, I have to say the leadership has been tremendously supportive. If you think about, for example, my leaders Wayne Duso who's also been on the show multiple times, Bill Vaas who's also been on the show multiple times, you know they're both founders and also operators entrepreneurs at heart. So they understand that it is important, right? For all of us, it's really incumbent on all of us who are in positions to do so, to create a pathway for more people to be in leadership roles for more people to be successful entrepreneurs. So, no, I mean if you just looked at LinkedIn they're always uploading my vote so they reach to more audiences. And frankly they're rooting for us back home in the US while we're in Malaysia this week. >> That's awesome. And I think that's a good culture to have that empowerment and I think that's very healthy. What's next for you guys? What's on the agenda? Take us through the activities. I know that you got a ton of things happening. You got your event out there, which is why you're out there. There's a bunch of other activities. I think you guys call it the Advancing Women in Tech week. >> Yes, this week we are having a week of programming that you can check out at Advancing Women in Tech.org. That is spotlighting the expertise of a number of women in our space. So it is three days of programming Tuesday, Wednesday and Thursday if you are in the US so the seventh through the ninth, but available globally. We are also going to be in New York next week for the event at the UN and are looking to continue to support our mentorship programs and also our work supporting women founders throughout the year. >> All right. I have to ask you guys if you don't mind get a little market data so you can share with us here at theCUBE. What are you hearing this year that's different in the conversation space around the topics, the interests? Obviously I've seen massive amounts of global acceleration around conversations, more video, things like this more stories are scaling, a lot more LinkedIn activity. It just seems like it's a lot different this year. Can you guys share any kind of current trends you're seeing relative to the conversations and topics being discussed across the the community? >> Well, I think from a needle moving perspective, right? I think due to the efforts of wonderful organizations including the Q for spotlighting all of these awesome women, right? Trailblazing women and the nonprofits the government entities that we work with there's definitely more emphasis on creating access and creating pathways. So that's probably one thing that you're seeing is more women, more investors posting about their activities. Number two, from a global trend perspective, right? The rise of women in security. I noticed that on your agenda today, you had Lena Smart who's a good friend of mine chief information security officer at MongoDB, right? She and I are actually quite involved in helping founders especially early stage founders in the security space. And so globally from a pure technical perspective, right? There's right more increasing regulations around data privacy, data sovereignty, right? For example, India's in a few weeks about to get their first data protection regulation there locally. So all of that is giving rise to yet another wave of opportunity and we want women founders uniquely positioned to take advantage of that opportunity. >> I love it. Kate, reaction to that? I mean founders, more pathways it sounds like a neural network, it sounds like AI enabled. >> Yes, and speaking of AI, with the rise of that we are also hearing from many community members the importance of continuing to build their skills upskill learn to be able to keep up with the latest trends. There's a lot of people wondering what does this mean for my own career? And so they're turning to organizations like Advancing Women in Tech to find communities to both learn the latest information, but also build their networks so that they are able to move forward regardless of what the industry does. >> I love the work you guys are doing. It's so impressive. I think the economic angle is new it's more amplified this year. It's always kind of been there and continues to be. What do you guys hope for by next year this time what do you hope to see different from a needle moving perspective, to use your word Nancy, for next year? What's the visual output in your mind? >> I want to see real effort made towards 50-50 representation in all tech leadership roles. And I'd like to see that happen by 2050. >> Kate, anything on your end? >> I love that. I'm going to go a little bit more touchy-feely. I want everybody in our space to understand that the skills that they build and that the networks they have carry with them regardless of wherever they go. And so to be able to really lean in and learn and continue to develop the career that you want to have. So whether that be at a large organization or within your own business, that you've got the potential to move forward on that within you. >> Nancy, Kate, thank you so much for your contribution. I'll give you the final word. Put a plug in for the organization. What are you guys looking for? Any kind of PSA you want to share with the folks watching? >> Absolutely, so if you're in a position to be a mentor, join as a mentor, right? Help elevate and accelerate the next generation of women leaders. If you're an investor help us invest in more women started companies, right? Women founded startups and lastly, if you are women looking to accelerate your career, come join our community. We have resources, we have mentors and who we have investors who are willing to come in on the ground floor and help you accelerate your business. >> Great work. Thank you so much for participating in our International Women's Day 23 program and we'd look to keep this going quarterly. We'll see you next year, next time. Thanks for coming on. Appreciate it. >> Thanks so much John. >> Thank you. >> Okay, women leaders here. >> Nancy: Thanks for having us >> All over the world, coming together for a great celebration but really highlighting the accomplishments, the pathways the investment, the mentoring, everything in between. It's theCUBE. Bring as much as we can. I'm John Furrier, your host. Thanks for watching.

>>Hey everyone. Welcome back to Chicago. The Cube is excited to be live on day two of Ansible Fest, 2022. Lisa Martin and John Fur. You're here having some great conversations, a lot of cube alumni, a lot of wisdom from the Ansible community coming at you on this program this week. You know, John, we've been, we've been hearing stories about the power and the capabilities and the collective wisdom of the Ansible community. You can feel it here. Yeah, there's no doubt about that. It's, Ansible is nothing, as Stephanie Chair said yesterday, if not a community and the significant contributions that it makes over and over again, or it's fuel. >>I mean the power of the community is what drives Ansible is gonna drive the future of, I think, cloud in our next generation modern application environment. And it's collective intelligence. It's a production system at the end of the day. And I think these guys have harnessed it. So it should be a really great segment to talk about all the contributor work that's been done. So I'm looking forward to it. >>We've got two great alumni here to talk about the contributor work, how you can get involved. Please welcome back to the cube. Carol Chen, principal community architect at Red Hat. Adam Miller joins us as well, fresh from the keynote stage senior principal software engineer at Red Hat. Guys, great to have you on the cube. Great to be here. Yeah, thank you. So we, we talked, we enjoyed your keynotes, Adam, and what you were talking about on stage, the Ansible contributor summit. That's, you guys have been doing what, this is the seven you've had seven so far in just a couple of years. >>Well, we had seven virtual contributor summits. >>Seven virtual. This is the first Monday was the first in person in. >>First in person since the pandemic and actually the 15th contributor summit overall >>15th overall. Talk about the contributor summits, what the contributors are able to do and the influence that it's having on Ansible Red Hat and what people are able to do with cloud. At the Edge automation. Yeah. >>So our community contributors have always had ways to influence and contribute to the project. But the contributor Summit is really a place where we can get people together, preferably in the same place so that we can, you know, have a really great dynamic conversations and interactions. But we also want to make sure that we don't leave out people who have been constantly online joining us. So this year we are so happy to be here in Chicago in person. We've had about 60 to 70 here joining us. And at first I thought maybe we'll have one third of the attendees joining online because about 30 to 40 people signed up to join online. But in the end, we have more than 100 per people watching our live stream. So that's more than half of the attendees overall, were joining us online. So that really shows where, you know, the contributors are interested in participating for >>Develop. Right. Yeah, it's been, it's been interesting. It's been since 2019, since the in-person Ansible Fest in Atlanta. Now we're in Chicago, we had the pandemic. Couple interesting observations from our side that I wanna get your reaction to Adam Carol. And that is one Ansible's relevance has grown significantly since then. Just from a cloud growth standpoint, developer open source standpoint, and how people work and collaborate has changed. So your contributor based in your community is getting more powerful in scope, in my opinion. Like in, as they become, have the keys to the kingdom in the, in their respective worlds as it gets bigger and larger. So the personas are changing, the makeup of the community's changing and also how you guys collaborate is changing. Can you share your, what's going on with those two dynamics? Cause I think that power dynamic is, is looking really good. How are you guys handling >>That? Yeah, so I mean, I, I had the opportunity to represent the community on stage yesterday as part of the keynote and talk to this point specifically is one of the things that we've seen is the project has had the opportunity to kind of grow and evolve. There's been certain elements that have had to kind of decompose from a technology perspective. We actually had to kind of break it apart and change the architecture a little bit and move things into what are called Ansible collections, which, you know, folks here are very familiar with No One Love. And we've seen a lot of community work in the form of working groups coalesce around those organically. However, they've done so in kind of different ways. They, they pick tools and collaboration platforms that are popular to their subject matter expertise audience and things like that. So we find ourselves in a place where kind of the, the community itself had more or less segmented naturally in a way. And we needed to find ways to, you know, kind of ke that >>Fragmentation by demographics or by expertise or both as >>A Mostly, mostly expertise. Yeah. And so there was a open source technology called Matrix. It is a open source, standardized, federated messaging platform that we're able to use to start to bridge back some of those communities that have kind of broken off and, and made their their own home elsewhere on the internet. So now we're able to, for example, the right, the docs organization, they had a, a group of people who was very interested in contributing to the Ansible documentation, but they'd already self-organized on Discord. And what was interesting there is the existing team for the Ansible documentation, they were already on internet Relay Chat, also known as irc. And Matrix allowed us to actually bring those two together and bridge that into the other matrix cha chat channels that we had. So now we're able to have people from all over the world in different areas and different platforms, coalesce and, and cross. It's like a festival cross pollinate. Yeah. >>And you're meeting the contributors exactly where they are and where they want to be, where they're comfortable. >>Yes. Yeah, we always say we, we reach out to where they are. So, >>And, and, and much in the way that Ansible has the capability to reach out to things in their own way, Right. And allow that subject matter expertise to, you know, cause the technology has the potential and possibility and capability to talk to anything over any protocol. We're able to do, you know, kind of the same thing with Matrix, allowing us to bridge into any chat platform that it has support for bridging and, and we're able to bring a lot of people >>Together. Yeah. And how's that, how's the feedback been on that so far? >>I, I think it has been very positive. For example, I want to highlight that the technical writers that we have contributing via Discord is actually a group from Nigeria. And Dave also participated in the contributor summit online virtually joining us in, in, you know, on the matrix platform. So that, that bridge that really helps to bring together people from different geographical regions and also different topics and arenas like that. >>So what were some of the outcomes of the contributor summit? The, the first in person in a while, great. That you guys were able to do seven virtually during the pandemic. That's hard. It's hard to get people together. You, there's so much greatness and innovation that comes when we're all together in person that just can't replicate by video. You can do a lot. Right. But talk about some of the outcomes from Monday. What were some of the feedback? What were some of the contributions that you think are really going to impact the community? >>I think for a lot of us, myself included, the fact that we are in person and meeting people face to face, it helps to really build the connections. And when we do talk about contribution, the connection is so important that you understand, well this person a little bit about their background, what they've done for the SPO project and or just generally what, what they're interested in that builds the rapport and connection that helps, you know, further, further collaboration in the future. Because maybe on that day we did not have any, you know, co contributions or anything, but the fact that we had a chance to sit together in the same place to discuss things and share new ideas, roadmaps is really the, the kind of a big step to the future for our community. Yes, >>Yes. And in a lot of ways we often online the project has various elements that are able to function asynchronously. So we work very well globally across many time zones. And now we were able to get a lot of people in the same place at the same time, synchronously in the same time zone. And then we had breakout sessions where the subject matter, you know, working groups were able to kind of go and focus on things that maybe have been taking a little while to discuss in, in that asynchronous form of communication and do it synchronously and, you know, be in the same room and work on things. It's been, it's been fantastic >>Developers there, like they, they take to asynchronous like fish to water. It's not a problem. But I do want to ask if there's any observations that you guys have had now that we're kind of coming out of that one way, but the pandemic, but the world's changed. It's hybrid, hybrid work environment, steady state. So we see that. Any observations on your end on what's new that you observed that people are gravitating to? Is there a pattern of styles is or same old self-governing, or what's new? What do you see that's coming out of the pandemic that might be a norm? >>I I think that even though people are excited to get back in person, there are, things have changed, like you said, and we have to be more aware of, there are people who think that not be in person, it's okay. And that's how they want to do it. And we have to make sure that they, they are included. So we, we did want to make a high priority for online participation in this event. And like I said, even though only 4 30, 40 people signed up to join us online initially, so that it was what we were expecting, but in the end, more than 100 people were watching us and, and joining participation in >>Actually on demand consumption be good too, >>Right? Yeah. So, you know, I think going forward that is probably the trend. And as, as much as we, we love being in person, we, we want this to continue that we, we take care of people who are, has been constantly participating online and contributing you >>Meaning again, meaning folks where they are, but also allowing the, the, those members that want to get together to, to collaborate in person. I can only imagine the innovation that's gonna come even from having part of the back, Right. >>And, and not to continue to harp on the matrix point, but it, it's been very cool because Matrix has the ability to do live video sessions using open source another to open source technology called jy. So we're able to actually use the same place that we normally find ourselves, you know, congregating and collaborating for the project itself in an asynchronous and, you know, somewhat synchronous way to also host these types of things that are, are now hybrid that used to be, you know, all one way or all the other. Yeah. And it's been, it's >>Been incredible. Integration is, the integration is have been fascinating to watch how you guys do that. And also, you know, with q we've been virtual too. It's like, it's like people don't want another microsite, but they want a more of a festival vibe, a hub, right? Like a place to kind of check in and have choice, not get absolutely jammed into a, you know, forum or, you know, or whatever. Hey, if you wanna be on Discord, be on Discord, right? Why >>Not? And we still, you know, we do still have our asynchronous forms of >>Work through >>Our get GitHub. We have our projects, we have our issues, we have our, you know, wiki, we have various elements there that everybody can continue to collaborate on. And it's all been, it's all been very good. >>Speaking of festivals, octoberfest that's going on, not to be confused with Octoberfest, that was last month. Talk about how the Ansible project and the Ansible community is involved in Octoberfest. Give us the dates, Carol. So >>YesTo Fest is a annual thing in October. So October Octoberfest, I think it's organized by Digital Ocean for the past eight or nine years. And it's really a, a way to kind of encourage people to contribute to open source projects. So it's not anal specific, but we as an Ansible project encourage people to take this opportunity to, you know, a lot of them doing their first contributions during this event. And when, when we first announced, we're participating in Octoberfest within the first four days of October, which is over a weekend actually. We've had 24 contributions, it, 24 issues fixed, which is like amazing, like, you know, just the interest and the, the momentum that we had. And so far until I just checked with my teammates this morning that we've had about 35 contributions so far during the month, which is, and I'm sorry, I forgot to mention this is only for Ansible documentation. So yeah, specifically. And, and that's also one thing we want to highlight, that contributions don't just come in code in, you know, kind of software side, but really there's many ways to contribute and documentation is such a, a great way for first time users, first time contributors to get involved. So it's really amazing to see these contributions from all over the world. And also partly thanks to the technical writers in Nigeria kind of promoting and sharing this initiative. And it's just great to see the, the results from that. Can >>You double click on the different ways of contribution? You mentioned a couple documentation being one, code being the other, but what is the breadth of opportunities that the contributors have to contribute to the project? >>Oh, there's, there's so many. So I actually take care more of outreach efforts in the community. So I helped to organize events and meetups from around the world. And now that we're slowly coming out of the pandemic, I've seen more and more in person meetups. I was just talking to someone from Minneapolis, they're trying to get, get people back together again. They have people in Singapore, in Netherlands from pretty much, you know, all corners of the globe wanting to form not just for the Ansible project, but the local kind of connection with the re people in the region, sometimes in their own language, in their local languages to really work together on the project and just, >>You know, you to create a global Yeah. Network, right? I mean it's like Ansible Global. >>Exactly. >>Create local subnets not to get all networking, >>Right? >>Yeah. >>Yeah. One, one quick thing I want to touch on Theto Fest. I think it's a great opportunity for existing contributors to mentor cause many people like to help bring in new contributors and this is kind of a focal point to be able to focus on that. And then to, to the the other point we, you know, it, it's been, it's been extremely powerful to see as we return these sub communities pop up and, and kind of work with themselves, so on different ways to contribute. So code is kind of the one that gets the most attention. I think documentation I think is a unsung hero, highly important, great way. The logistical component, which is invaluable because it allows us to continue with our adoption and evangelization and things like that. So specifically adoption and evangelize. Evangelization is another place that contributors can join and actually spawn a local meetup and then connect in with the existing community and try to, you know, help increase the network, create a new subject. Yeah. >>Yeah. Network affects huge. And I think the thing that you brought up about reuse is, is part of that whole things get documented properly. The leverage that comes out of that just feeds into the system that flywheel. Absolutely. I mean it's, that's how communities are supposed to work, right? Yep. Yes. >>That's what I was just gonna comment on is the flywheel effect that it's clearly present and very palpable. Thank you so much for joining John, me on the program, talking about the contributors summit, the ways of contribution, the impacts that are being made so far, what Octoberfest is already delivering. And we're, we still have about 10 days or so left in October, so there's still more time for contributors to get involved. We thank you so much for your insights and your time. Thank >>You. Thank you so much for having us. >>Our pleasure. For our guests and John Purer, I'm Lisa Martin. You're watching The Cube Live from Chicago, day two of our coverage of Red Hat Ansible Summit 22. We will see you right n after this short break with our next guest.

(upbeat instrumental music) >> Hey, everyone, welcome to theCUBE's coverage of the International Women Showcase 2022. I'm your host, Lisa Martin. I'm pleased to welcome my next guest, Jadesola Adedeji, the Chief Executive Officer of STEM METS. Jadesola, it's wonderful to have you on the program. >> Thank you so much, Lisa. It's great to be here, thank you. >> I was looking you up on LinkedIn and I noticed that your profile describes you as a social entrepreneur. Talk to me about that. >> Well, basically, the idea is that we are a business but we are in the social segment. And of course, that segment for us is education, which is obviously is one of the critical, you know, things that you need in life to thrive and to progress. So it's a social need and we are in that space trying to make a difference and bridge a gap that is in the education sector, which is around digital skills, 21st century skills. >> Jadesola, talk to me about STEM METS, the impetus to found this organization which you and a physician friend founded seven years ago. What was the genesis? >> Okay, so about 10 years ago, my husband and I moved back to Nigeria from North America, where we'd been working and studying. And we decided that we would take our experience and education back home, as well as our young kids, who were six and 10 at the time. But when we got home, what we found was a broken and impoverished educational system. And Nigeria was, you know, essential in our own foundational years. So it was really shocking and disappointing that our education system hadn't moved with the 21st century. A lot of our youth were leaving school without the relevant skills for them to get meaningful jobs. So my co-founder and I decided to do something about that by bringing in a different and more up-to-date way of learning and teaching, which was in STEM education. And so that's how we started, so both of us had a STEM background and we decided that, well, we would do something or attempt to do something about the state of our education in Nigeria. And so that's how we started. >> I love that. And you were talking to me a little bit earlier about the enrollment rate of students. Share with the audience what some of those statistics are and why this STEM METS program is so pivotal. >> Mm hmm. So as I said earlier, there are about 80 million school-age children in Nigeria. There are 10 million children that are out of school, of which about 50 to 60% are actually girls. So we are already at a disadvantage regarding our female population and even diversity in education. And so for us, we saw it as being bad enough that we can't even get into school and then when we get into school, you're not getting quality education. You get an education, but not sufficient enough with skills to get you meaningful jobs. And so for us, STEM education was the answer to trying to bring up the quality of our education and making sure that what the learning that was going on was relevant to the 21st century, which is innovation-driven, which is technology-driven, and combining that with soft skills that are required for the future workplace or even a life in entrepreneurship. And so, that's what we did in response to that. >> Tell us a little bit about the curriculum. And also, are you focused on young, school-age children, primary school, high school? >> Sure. So the great thing about what we do is that early years is essential, we feel, because those are the foundational years when the brain is developing. So we run programs for children from ages three to 16 and we run a variety of programs, so anything from construction with Lego, robotics, coding, UX design, sound and technology, just to be able to show the array of skills and modules that are available under the STEM umbrella, and also be able to showcase the diversity in terms of career options that are available to the children in our community. >> Who are some of the educators? Because one of the things that we say often when we talk about women in STEM and women in tech or some of the challenges with respect to that is, we can't be what we can't see. Talk to me about some of the mentors or the educators within STEM METS that these young girls can have a chance, as young as three, to look up to. >> Well, so that's the thing. So, I think fundamentally, our co-founders, myself and my co-founder were pivotal in terms of positioning ourselves as role models. We're female, we both had a STEM background. And then, secondly, our educators. Not being sexist, but about 90% of our educators are female. So we train them. We make sure they have the skills that they require to also implement our programs. And that is a secondary way of also showcasing to the children and the girls that we are teaching, that look, you know, STEM isn't just for boys. These are live and present role models that you can aspire to be. And we also felt that it was essential for us to recruit from the female pool, and it also helps working mothers. So they are able to look after their family, as well as still earn an income to support their families. Otherwise, they would have to give up one or the other. And because our programs are supplementary classes and we run them as after school clubs or holiday clubs, they are able to manage their time and their family accordingly. So we see what we are doing as two programs. We are educating the kids, we are educating the girls, but we're also capacity building in terms the female work force. So yes, we think that what we're doing is just really feeding the female ecosystem and just ensuring that we are developing women with relevant skills. >> So she can be what she can see because you're enabling her to see it. Talk to me about like the number of educators versus the number of girls that are in the program so far in the first seven years. >> Okay, so to date, we've reached about 10,000 learners, of which I would say about 40% are female. Obviously, our aim is to be sure that that number increases. So we're quite targeted in some of our programs, particularly the ones that we take to low-resource community. We are supported by brands from organizations such as Airbus Foundation, so that enables us to take our programs to the low-resource community and we ensure that the enrollment and the sign-up is equitable, ensuring that the girls also have access to it. >> I'm curious about your background. You said you were 20 years in the pharmaceutical industry. Were you always interested in STEM fields since you were a child or is that something that you got into a little bit later? >> Actually I think unconsciously, well, since I was a child. In our culture, at least then when I was growing up, you were either a doctor, or an engineer, or a lawyer. So there were specific pathways. So if you were in the liberal arts, you were expected to go into maybe law. If you were in science, engineering, or medicine. So I went down the pathway of pharmacy as a sort of in-between because I wasn't very good at physics so engineering wasn't an option. But I think growing up, you know, I felt that we had role models that we could also look up to, so going into the STEM field was something that, you know, was somewhat natural actually in my educational journey. Yeah, so that's how I got into the STEM field, encouraged by my dad actually. You know, he said, "You know, if you're going to "go into a life science sector, "make sure you have something that is professional, "something that can make you independent." So my career started in the pharma industry but then I ended up running my own businesses, as well, so I had a couple of pharmacies in Canada when we lived there. So I ran that as a businesswoman, but still in the life science field. >> So you've reached 10,000 youths so far and you're showing them all about STEM. STEM is a very broad mix of science, technology, engineering, mathematics, arts, as well, if we go to the STEAM area. So you're showing these kids there's so much breadth and depth there within the STEM in and of itself. >> Exactly. So that's why we oftentimes ensure that we have a variety of programs. So, and also, educating the parents and the public that STEM does not mean you're going to be a coder. You know, you can be a graphic designer, you could be a fashion designer even, UX design, you could be a robotics engineer, you could be a pharmacist. You know, so we try and bring in programs that just exposes them to a huge array of career options. One of the programs we brought in last year was a program that Spotify runs, which combines sound and technology. So making beats, making podcasts, and in there was literacy, as well. How do you pull rhymes together? You know, if you wanted to, you know, so music production, sound production, you know, writing poems and literacy. So the idea there is to say the skill sets are transferrable not just within the STEM field but also non-STEM field. So let's not forget, it's not just a technical skills development program. We are learning critical thinking, communication, problem solving, collaboration, how can you work effectively, resilience. So they are life skills that are also incorporated into the concept of STEM education. >> That's so important because as you shared with us, your 20-year history in the pharmaceutical industry, you ran businesses, you ran own pharmacies, you parlayed your expertise in the STEM field into running STEM METS. But what you're showing these kids that you've reached so far and all the many tens of thousands that you'll reach in the future that it's not just doctor, lawyer, firefighter. There are so many, I love how you have a program with Spotify. Kids probably go, "Wait, what? "Music production? "I wouldn't have thought of that "as under the STEM umbrella." But you're showing them, you're making them aware that there's so much breadth to what STEM actually is. >> Exactly, and I think the idea is to inspire creativity and innovation. That there's always a different way to do things. And so, STEM education is actually developing learning and thinking skills. You know, it's not just rote learning or cramming or theory. And you're applying it to real-life situations and real-life scenarios. So, I always say that our vision is to raise future leaders and problem solvers and equip them with skills to tackle challenges affecting our continent, as well as the world. So those skill sets are terribly important really and have a mindset of viewing everything as bringing solutions to any potential challenges that you may face, even personally. >> Which is incredibly important, especially as we've learned in the last two years that we've all lived through. I'm curious that you've got two kids you said, are they showing interest in the STEM arena? >> We are actually quite a STEM family. So my husband's background is in chemical engineering. My son just finished his undergrad in computer science and is doing a post-grad in computer games programming. My daughter is going to university this fall and she's looking into biochemical engineering. So I think the STEM thing was passed along. Not under duress, I think they just showed a general affinity for that. But I mean, we exposed them to a plethora of different programs so we are here now. >> And you're a STEM family. But that exposure is what it's all about, like we talked a minute ago about, you know, she can be what she can see. She needs to be able to see that, she needs to have that exposure, and that's what you're helping to accomplish with the STEM METS. Talk to me, last question. What are some of the objectives that you have for the next, say, two to five years with STEM METS? >> So for us in the next two to five years is really looking for opportunities to extend the reach of our program. With COVID, obviously we had to pivot online so we're seeing ourselves now as a blended learning education company. So we want to build out our online presence and capability. We definitely are looking to reaching about five to 10 thousand learners per year so we're really looking at, you know, our path to scaling. And that could be things like trainer sessions where we also equip our teachers, who then go on to equip students in their community or in their schools, as well. So path to scaling is really important to us and we are looking to see how technology can help us do that. >> Excellent. Well, we wish you the best of luck on your path to scale, and congratulations on all the success and the youths that you have reached so far. Sounds like a great organization and we appreciate learning about that and having the chance to educate more folks on what the STEM METS program is all about. Jadesola, thank you so much for your time. >> Thank you, Lisa. For Jadesola Adedeji, I'm Lisa Martin. You're watching theCUBE's coverage of the International Women Showcase 2022. (upbeat instrumental music)

>>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.

>>Mhm Hello and welcome back to the cubes coverage of 80 of his public sector summit live for two days in D. C. In person. CuBA's here is an expo floor that people face to face down here. Adriana guest co founder and Ceo of Girls in tech cube alumni friend of the cube. We've known her for a long time. Watch their success really making an impact. Great to see you. Thanks for coming on. >>Wonderful to see you, john, thanks so much for having me. >>You know, one of the things that Sandy carter talks about matt max Peter talks about all of the Amazonian leadership that's about is skills training. Okay, this is a big deal. Okay, so getting talented to the industry is critical and also diversity and women attacking underrepresented minority groups are key. This has been a look at constant focus, you've been successful and and convincing folks about tech and working hard, what's the update, >>wow. So the reason why we're here, not only as Sandy carter are amazing chairman of the board of six plus years, but I heard we heard so many pain points from several of our partners as well as our good friends over at the White House and the Department of State and many other public sector agencies that there is a deficit. It's been very difficult to find diverse groups of talent and talent period to join their companies and populate those important I. T. Jobs stem jobs, whether it's very very technical or more data driven or more sort of design focus, product development focus across the board it's been very hard for them to find talent for those jobs. So girls in tech has partnered with AWS to create an initiative called the next generation public sector leaders and really focusing on creating awareness on career development opportunities for up and coming talent diverse talent that is curious and interested in job opportunities and educational opportunities within the public sector. So it has multi tiers, right? And it's something that we've devised based on the need and based on a lot of data and a lot of interviews from a lot of our partners and within the A. P. N. Network and we're doing a mentorship program which is a six month long program matching these amazing public sector executives, really accomplished leaders as well as our members from around the world um to connect and expose them and provide that nurturing, fostering mentality so that they can succeed in their careers. So >>eight of us getting behind this mission. Yes. And public sector is really fast growing changing. You start to see a lot of public private partnerships go on. So not just the old school public sector business, I mean the pandemic has shown the impact of society. So what does that do for the melting pot of talent out there? Have you seen anything out there? And how does that relate to this? Is that helped you at all or what's that does that mean for the mission? >>So there is a melting pot of talent. I just think we need to do a better job of creating awareness and really knowing where that talent lives. Like what are the blogs that they read? What are the videos that they watch and listen to? Where are they? Right. And we need to do the hard work and investigating and understanding like taking a more empathetic approach to really finding out what um how we can access them what their needs are. What are the things that interest piqued their interest within these jobs within the public sector um And customize it and market it so that they'll be eager and excited. Um And it would be more appealing to them. >>So I looked at the press release I just want to get your reaction to something you got evening with the experts. It's an in person event. >>Yes. When >>is that? Is that here is that going to be on your own event? What's that about? >>All the events that are going to be in person? Will be in D. C. Um There will be some virtual events as well. Our mentorship program is all virtual six month long program with curriculum and matchmaking on a platform that we use the evening with the experts which is a panel discussion with experts from a A. W. S. And beyond the A. P. N. Network. We'll talk about challenges and technology opportunities within a career development and also jobs. Um Well do recruitment like on the fly type of activities as well. Speed and speed interviewing, speed networking? Um We also have a few other programs, our webinar which is about the next gen public sector opportunities and this is more about the challenges that people face that companies face and the new technologies that will be launched very soon. And we're doing a widget on our jobs board to highlight the new career opportunity, new job opportunities from all of the public sector partners. We work with >>a very comprehensive, >>It's very comprehensive on the six >>month guided mentorship program. How does someone get involved in applications? How what's that going on there? >>It will be an application process and we will promote it to anyone who signs up to our newsletter. So go to Girls in tech dot org. Sign up for our newsletter and we will be posting and sharing more information on how people get involved. But we'll definitely send custom uh E. D. M essentially promoting to the people who are here at the conference and also through our Girls in tech D. C. Chapter as well. >>So I have to ask you, I know you've been really busy, been very successful. You've been out and about what's the trend line looked like? Well >>not for the last few years though, >>you've >>been in lockdown now. >>You've been working hard, you know have not not about now. You >>are not >>about what's the temperature like now in terms of the pulse of the industry relative to progress, what's what's what are you finding, what's the current situation >>progress for women in tech in the industry. So Since I started girls in tech in 2007, we've made A lot of progress, I would say it's a lot slower than I thought it would be, but you do see more and more women and people representing bipac actually apply for those jobs. We it is astronomically different than 2006, when I started in my first startup and there's a lot more mentorship, There are a lot more organizations out there that companies are more accountable with the R. G. Groups and they're changing their policies, are changing their training programs are having more off sites, there's now technologies that focus on tracking uh productivity and happiness of employees so that like all of that did not exist or I should say none of that existed, you know? And so we worked hard, we've worked hard, but it takes a village, it takes a lot of different people to create that change. And now one of girls in text mission is not just providing that education that community, that mentorship, we want to get the corporate involved, we want to teach the corporate about D and I training the importance of diversity, different tactics to recruit uh so on and so forth. And and it's been so amazing, so inspirational, I love, I started working more in partnerships and having our monthly calls with partners because I love it. I love collaborating to >>recruit good peer group around you to accelerate and create more territory of awareness and impact more people can get their hands involved. And I think to me that's what I think you're starting to see that with podcasts and media people are starting to go direct to tell their story, apps are out there now as you mentioned. So, but I feel like we're on a crossover point coming soon, totally thinks it's different. Um, but it's still a >>lot more work to do a lot more. We just got the service. I know, I know you've just scratched the surface, but we're so excited to be here. Aws is a huge supporter thanks to Sandy carter and her team. Um, it's been an amazing experience. >>Sandy's got great vision, she takes risks. So she's actually got the Amazonian concept of experiment, try something double down if it works and that's great to see that you guys have extended that relationship with, with her and the team. I like this idea of the fellowship cohort model of the or that program, you have the mentorship program. I think that's super cool. Um, that's something I think will be very successful. >>Uh, it's been successful so far. We typically over sell our mentorship are mentee spots. Uh, we only have 500 spots and last one we had over 2300 like a crazy amount, so we know that our members are really hungry for it around the world. And we know it will just be as just as popular for the public sector. So >>what's next for you? What's the vision? What's the next step was events are coming back in person? We're here in person. >>Yeah, there's just so much going on. I wish I could clone myself and we're busting at the seams. And I think the things that are really exciting to me are being able to produce our programs internationally, specifically in developing countries. So we're working um we haven't made an official announcement yet or anything, but we are working on expanding in african countries with Aws. They're doing some efforts and making some movements there. So places like Cameroon Ghana Nigeria Egypt. Uh we are looking to create chapters there for Girls in Tech and then expand our programming. Uh we're also, as mentioned earlier, we're working a lot with corporations to provide DNA training. So, training about policies, Inclusive leadership. Making sure they have the tools and policies to succeed and for their employees to feel comfortable, safe and productive in their work environment >>is great to see you. Congratulations Girls in tech dot org. Yes. Is the U. R. L. Check it out a great mission, very successful. Making progress any stats you can throw out there, you can share. >>Yeah, of course, you >>wrap it up. >>Yeah. So right now, girls in tech has 58 active chapters in 38 countries with over 70,000 active members. And by the end of the year we will have close to 100 active members. So hopefully we'll see you next year and that number will double or triple sign >>up. Tell him johN sent, you know, don't say that because you won't get no. Great to see you. >>Thank you. Nice to see you too. Thanks so >>much, john. Great to have you on cube coverage here at AWS public Sector summit in Washington, D. C. Is a live event. Were face to face. We had some remote guests. It's a hybrid event. Everything is being streamed. I'm john Kerry with the cube. Thanks for watching. Mhm. Mhm

>> 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)

>>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

(upbeat music) >> Narrator: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Online brought to you by Amazon Web Services. >> Welcome back to theCUBE's coverage of AWS Public Sector Summit Online. I'm John Furrier, your host of theCUBE. I wish we could be there in person, but we're doing remote because of the COVID and the pandemic. We've got a great guest, Paul Grist. Worldwide Public Sector, Head of Education International for AWS. Paul, thank you for coming on remotely. >> Great to be here, John. >> There's a lot of disruption in the education space this year with universities and schools still uncertain about what the future will look like. What are some of the biggest trends you're seeing? >> John, what we've seen is the rapid adoption of technology and the growth of flexible online learning, learning that can take place anytime, anywhere. What we've seen is universities, national education systems, and schools rapidly migrating systems and content to the cloud, spinning up new applications. And we've seen companies that provide technology and content and platforms, the ed techs and publishers of the world, increasing their capacity, increasing their capability to deliver new applications to education. >> What is some of this research that you're finding out there? >> Yeah. You know, a time of much change and things happening very, very fast. We responded fast to the changes, John. Got a load of customer conversations together, looking at speeches by educationalists who were responding to the changes at some of the online events that spun up very quickly at places like the University of Buckingham, ASU, JSV, Inside Higher Education, places like Blackboard World. And really just talked to those leaders about their responses to the change, what kinds of things they were doing, and brought that together into the research. It's underpinned by some in-depth research and insights from education reports and articles too. >> Thanks Paul, really appreciate it. Having that research is critical. I know you guys do a lot of work on that. I know you got some news, take a quick plug for the new research that's coming out. You guys just put out today, just take a minute to quickly explain what it's about and how to find it. >> We're publishing today some new research that shows the seven key emerging trends in this new world of education. Check it out on the AWS website. Two key trends, flexible learning and the new world of employability. >> So you guys got a lot of data. It's great with Amazon, got a lot of customers. Good to see you guys getting that research. The question I have for you Paul is, what amount of the research shows really the COVID situation? Because there's before COVID, there's kind of during, and then there's going to be a post-COVID mode. Was that prior research in place with COVID or after COVID? Can you share kind of the update on the relevance of your research? >> Yeah, I think the sector has changed. The sector has gone through the fastest change it's ever gone through. And undoubtedly most of the issues, most of the challenges and opportunities in the sector, predate the pandemic. But what we've seen is COVID accelerate many of the challenges and the opportunities, but also bring new opportunities. >> Yeah, one of the things we've seen with education is the disruption, and the forcing function with COVID. There's a problem, we all know what it is. It's important, there's consequences for those. And you can quantify the disruption with real business value and certainly student impact. There's been downsides with remote education. More teacher-parent involvement and students having to deal with isolation, less social interaction. How do you guys see that? Or what is Amazon doing to solve these problems? Can you talk about that? >> Yeah. I think you know, education is very much a people business. And what we've been trying to do is partner with organizations to ensure that the people are kept at the center of the business. So working with organizations such as LS, sorry, Los Angeles United School District in the US to spin up a call center to allow students to contact their tutors. And parents to interact with tutors, to get questions answered. >> So one of the challenges these academic institutions are facing is speed, it's pace of change. What's going on with competition? How are they competing? How are universities and colleges staying relevant? Obviously there's a financial crisis involved. There's also the actual delivery aspect of it. More and more mergers. You're starting to see ecosystem changes. Can you talk about what's going on in the educational ecosystem? >> Yeah I mean, educational institutions are being forced to rethink their business models. It's an international marketplace in higher education. It's been a growing marketplace for many, many years. That suddenly stopped overnight, so every university has had to rethink about where their revenues are coming from, where the students are coming from. There's been some surprises too. I mean in the UK, actually international enrollments are up post-COVID because one of the strange side effects of COVID is without being able to travel, there's actually a cost saving for students. And so we've seen universities in the UK benefit from students who want to study, perhaps travel and the cost of study was too high previously. Now being able to study remotely. It's an unexpected and unintended consequence. But it kind of shows how there are opportunities for all organizations during this time. >> Many countries had to cancel exams altogether this year, which has been a big, huge problem. I mean people are outraged and people want to learn. It's been, you know, the silver lining in all this is that you have the internet (laughs). You have the cloud. I want to get your thoughts. How are universities and schools dealing with this challenge? Because you have a multi-sided marketplace. You've got the institutions, you've got the students, you got the educators, they all have to be successful. How are universities dealing with this challenge? >> Yeah I think, you know, teaching and learning has been online for 20, 30 years. And I think a lot of organizations have adopted online teaching and learning. But I think assessment is the one big area of education that remains to be made available at scale at low cost. So most assessment is still a pen-and-paper-based. There's big trust and identity issues. And what we're seeing through this COVID change is organizations really getting to grip with both of those issues. So, having the confidence to put assessment online, to make it available at scale, and then also having the confidence to tackle trust and identity questions. So who is taking the exam, where are they sitting? Can we be sure that it's actually that person taking that exam? So you know, the rise of things like proctoring technologies giving organizations the opportunity to assess remotely. >> How has this crisis affected research at academic institutions? Because certainly we know that if you need a lab or something, certainly we're seeing students need to be physically in person. But with remote and all those changes going on with the scale and the pace of change, how has research at academic institutions been impacted? >> Yeah I mean, research has always been a really collaborative activity, but we've seen that collaboration increase. It's had to increase. Researchers have had to go remote. Many of them work in labs. They haven't been able to do that. They've needed to spin up applications and new technologies in the cloud to continue working. But what we're seeing is governments taking an increased interest in the research being applicable, making sure that it leads to innovation which is meaningful. Getting much more involved and insisting that the research is made available now. And of course there's no place that that's clearer than in health research and trying to find a cure for COVID. And then secondly, we're seeing that research is becoming much more collaborative not just across institutions but also countries. So one of the great projects we're involved in at the moment is with the University of Adelaide who are collaborating with researchers from the Breeding and Acclimatization Institute in Poland on a project to study the increase in crop yield of wheat. >> One of the things that's coming out of this, whether it's research or students is open online courses, virtual capabilities. But a concept called stackable learning. Can you explain what that is? >> Yeah. We're in a global marketplace in education and there's increased competition between universities and education providers to make new types of certificates and online badges available. We know that employers are looking for ever more agile methods of scaling and upskilling. And stackable learning is a concept that's been around for a couple of decades now, where learning is broken down into smaller chunks, put together in a more personalized way from a number of different providers. Spun up very, very quickly to respond to need and then delivered to students. We're seeing some of the big providers like edX and Coursera who, again have been around for over a decade become really prominent in the provision of some of these stackable credentials. Their systems run on the cloud. They're easy to access, in many, many cases they're free. We're seeing an increasing number of employers and education institutions adopt and embed these types of delivery systems into their curriculum. >> Totally a fan of stackable learning, it's called the Lego model, whatever I call it. But also online brings the nonlinear progressions. The role of data is super important. So I'm very bullish on education being disrupted by cloud providers and new apps. So you know, I wanted to call that out because I think it's super important. Let me get to a really important piece that it has to be addressed, and I want to get your thoughts on. Cyber security. Okay, cyber attacks and privacy of students are two areas that are super important for institutions to address. What's your reaction to that? >> Yeah, I mean the use of more technology becomes, you know again, a target for cyber attack and unfortunately it's an increasing phenomenon. Simply put, every organization needs to put security first. Needs to operate as a security-first organization. They need to adopt technologies, people and processes that can protect their investments. And work with data management vendors, cloud vendors who've got the compliances and the common privacy and security frameworks such as GDPR in place to make sure that they provide secure services. AWS's security offerings include auditing, login and identity management, data encryption capabilities that offer more transparency and control, to allow institutions protect student data. >> Super important, thanks for sharing. Finally, what's the steps institutions can take to close the digital divide because now some people are taking gap years. Research is changing. People might not even have PCs or internet connections. There's still, this exposes the haves and have nots. What steps can institutions take to do their part? >> Yeah, digital learning is here to stay, John. We've learned that many learners do not have access to technology necessary for online learning. Whether those are devices or a reliable internet connection. But again, you know governments, states, educational authorities have all turned their attention to these issues over the last few months. And we're seeing organizations partner with technology providers that can provide internet connections. Partners in AWS, such as Kajeet who've installed hotspot devices on buses to deploy in areas with no connectivity. You know whether that's a place like Denver, Colorado or whether it's a place, you know, in Nigeria in Africa, remote connection remains a problem everywhere. And we're seeing everybody addressing that issue now. >> Paul, great to have you on theCUBE and sharing your insights on what's going on in international education. Final question for you. In your own words, why is this year at the AWS Public Sector Summit Online important? What's the most important story that people should walk away in this educational industry? >> The most important story, John, is it's a time of incredible change but also incredible opportunity. And we're seeing organizations who have wanted to change, who've wanted to deliver more to their students, who want to deliver a greater experience, who want to access more students and have much greater reach. Now with the appetite to do that. re:Invent is a great opportunity to work with AWS, to understand what's going on with our partners, with our customers. And look at some of the common solutions for the challenges that they're looking to solve. >> Paul Grist, thank you for coming on theCUBE. Really appreciate it. Worldwide Head of Education for International AWS. Thank you for sharing. >> Thanks John, great to be here. >> Okay, this is theCUBE's coverage of AWS Public Sector Online Summit. Remote, virtual, this is theCUBE virtual. I'm John Furrier, your host. Thanks for watching. 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>>from around the globe. It's the Cube with digital coverage of AWS Public Sector online brought to you by Amazon Web services. Oven Welcome back to the cubes. Virtual coverage of Amazon Web services. Eight. Of his public sector summit online. We couldn't be there in person, but we're doing remote interviews. I'm John Curry. Your host of the Cube got a great segment from Asia Pacific on the other side of the world from California about social impact, transforming, teaching and learning with cloud technology. Got three great guests. You go. Richard is the CEO and co founder of Guys Tech and Jean Te'o, CEO and founder of Solve Education Founders and CEOs of startups is great. This is squad was the AIPAC regional head. Education, health care, not for profit and research. Ray Ws, he head start big program Vincent. Thanks for coming on, Janine. And you go Thank you for joining. >>Thanks for having us, John. >>We're not there in person. We're doing remote interviews. I'm really glad to have this topic because now more than ever, social change is happening. Um, this next generation eyes building software and applications to solve big problems. And it's not like yesterday's problems there. Today's problems and learning and mentoring and starting companies are all happening virtually digitally and also in person. So the world's changing. So, um, I gotta ask you, Vincent, we'll start with you and Amazon. Honestly, big started builder culture. You got two great founders here. CEO is doing some great stuff. Tell us a little bit what's going on. A pack, >>A lot of >>activity. I mean, reinvent and some it's out. There are really popular. Give us an update on what's happening. >>Thank you. Thank you for the question, John. I think it's extremely exciting, especially in today's context, that we are seeing so much activities, especially in the education technology sector. One of the challenges that we saw from our education technology customers is that they are always looking for help and support in many off the innovation that they're trying to develop the second area off observation that we had waas, that they are always alone with very limited resources, and they usually do not know where to look for in terms, off support and in terms off who they can reach out to. From a community standpoint, that is actually how we started and developed this program called A W s. At START. It is a program specifically for education technology companies that are targeting delivering innovative education solutions for the education sector. And we bring specific benefits to these education technology companies when they join the program. Aws ed start. Yeah, three specific areas. First one is that we support them with technical support, which is really, really key trying to help them navigate in the various ranges off A W S services that allows them to develop innovative services. The second area is leaking them and building a community off like minded education technology founders and linking them also to investors and VCs and lastly, off course, in supporting innovation. We support them with a bit off AWS cop credits promotional credits for them so that they can go on experiment and develop innovations for their customers. >>That's great stuff. And I want to get into that program a little further because I think that's a great example of kind of benefits AWS provides actually free credits or no one is gonna turn away free credits. We'll take the free credits all the time all day long, but really it's about the innovation. Um, Jean, I want to get your thoughts. How would solve education? Born? What problems were you solving? What made you start this company and tell us your story? >>Thank you so much for the question. So, actually, my co founder was invited to speak at an African innovation forum a couple of years back on the topic that he was sharing with. How can Africa skip over the industrialization face and go direct to the knowledge economy? Onda, the discussion went towards in orderto have access to the knowledge economy, unique knowledge. And how do you get knowledge Well through education. So that's when everybody in the conference was a bit stuck right on the advice waas. In order to scale first, we need to figure out a way to not well, you know, engaging the government and schools and teachers, but not depend on them for the successful education initiated. So and that's was what pain walk away from the conference. And when we met in in Jakarta, we started talking about that also. So while I'm Singaporean, I worked in many developing countries on the problem that we're trying to solve this. It might be shocking to you, but UNESCO recently published over 600 million Children and you are not learning on. That is a big number globally right on out of all the SDG per se from U N. Education. And perhaps I'm biased because I'm a computer engineer. But I see that education is the only one that can be solved by transforming bites. But since the other stg is like, you know, poverty or hunger, right, actually require big amount of logistic coordination and so on. So we saw a very, um, interesting trend with mobile phones, particularly smartphones, becoming more and more ubiquitous. And with that, we saw a very, uh, interesting. Fortunately for us to disseminate education through about technology. So we in self education elevate people out of poverty, true, providing education and employment opportunities live urging on tech. And we our vision is to enable people to empower themselves. And what we do is that we do an open platform that provides everyone effected education. >>You could How about your company? What problem you're you saw And how did it all get started? Tell us your vision. >>Thanks, John. Well, look, it all started. We have a joke. One of the co founder, Matthew, had a has a child with severe learning disorder and dyslexia, and he made a joke one day about having another one of them that would support those those kids on Duh. I took the joke seriously, So we're starting sitting down and, you know, trying to figure out how we could make this happen. Um, so it turns out that the dyslexia is the most common learning disorder in the world, with an estimated 10 to 20% off the worldwide population with the disorder between context between 750 million, up to 1.5 billion individual. With that learning disorder on DSO, where we where we sort of try and tackle. The problem is that we've identified that there's two key things for Children with dyslexia. The first one is that knowing that it is dislikes. Yeah, many being assessed. And the second is so what? What do we do about it? And so given or expertise in data science and and I, we clearly saw, unfortunately off, sort of building something that could assess individual Children and adults with dyslexia. The big problem with the assessment is that it's very expensive. We've met parents in the U. S. Specifically who paid up to 6000 U. S. Dollars for for diagnosis within educational psychologist. On the other side, we have parents who wait 12 months before having a spot. Eso What we so clearly is that the observable symptom of dyslexia are reading and everyone has a smartphone and you're smart. Smartphone is actually really good to record your voice. Eso We started collecting order recording from Children and adults who have been diagnosed with dyslexia, and we then trying a model to recognize the likelihood of this lecture by analyzing audio recording. So in theory, it's like diagnosed dyslexic, helping other undiagnosed, dyslexic being being diagnosed. So we have now an algorithm that can take about 10 minutes, which require no priors. Training cost $20. Andi, anyone can use it. Thio assess someone's likelihood off dyslexia. >>You know, this is the kind of thing that really changes the game because you also have learning progressions that air nonlinear and different. You've got YouTube. You got videos, you have knowledge bases, you've got community. Vincent mentioned that Johnny and you mentioned, you know making the bits driver and changing technology. So Jeannine and Hugo, please take a minute to explain, Okay? You got the idea. You're kicking the tires. You're putting it together. Now you gotta actually start writing code >>for us. We know education technology is not you. Right? Um, education games about you. But before we even started, we look at what's available, and we quickly realize that the digital divide is very real. Most technology out there first are not designed for really low and devices and also not designed for people who do not have Internet at hope so way. So with just that assessment, we quickly realized we need toe do something about on board, but something that that that problem is one eyes just one part of the whole puzzle. There's two other very important things. One is advocacy. Can we prove that we can teach through mobile devices, And then the second thing is motivation it again. It's also really obvious, but and people might think that, you know, uh, marginalized communities are super motivated to learn. Well, I wouldn't say that they are not motivated, but just like all of us behavioral changes really hard right. I would love to work out every day, but, you know, I don't really get identity do that. So how do we, um, use technology to and, um, you know, to induce that behavioral change so that date, so that we can help support the motivation to learn. So those are the different things that we >>welcome? >>Yeah. And then the motivated community even more impactful because then once the flywheel gets going and it's powerful, Hugo, your reaction to you know, you got the idea you got, You got the vision you're starting to put. Take one step in front of the other. You got a W s. Take us through the progression, understand the startup. >>Yeah, sure. I mean, what Jane said is very likely Thio what we're trying to do. But for us, there's there's free key things that in order for us to be successful and help as much people as we can, that is free things. The first one is reliability. The second one is accessibility, and the other one is affordability. Eso the reliability means that we have been doing a lot of work in the scientific approach as to how we're going to make this work. And so we have. We have a couple of scientific publications on Do we have to collect data and, you know, sort of published this into I conferences and things like that. So make sure that we have scientific evidence behind us that that support us. And so what that means that we had Thio have a large amount of data >>on and >>put this to work right on the other side. The accessibility and affordability means that, Julian said. You know it needs to be on the cloud because if it's on the cloud, it's accessible for anyone with any device with an Internet connection, which is, you know, covering most of the globe, it's it's a good start on DSO the clock. The cloud obviously allow us to deliver the same experience in the same value to clients and and parent and teacher and allied health professionals around the world. Andi. That's why you know, it's it's been amazing to to be able to use the technology on the AI side as well. Obviously there is ah lot of benefit off being able to leverage the computational power off off the cloud to to make better, argue with them and better training. >>We're gonna come back to both of you on the I question. I think that's super important. Benson. I want to come back to you, though, because in Asia Pacific and that side of the world, um, you still have the old guard, the incumbents around education and learning. But there is great penetration with mobile and broadband. You have great trends as a tailwind for Amazon and these kinds of opportunity with Head Start. What trends are you seeing that are now favoring you? Because with co vid, you know the world is almost kind of like been a line in the sand is before covert and after co vid. There's more demand for learning and education and community now than ever before, not just for education, the geopolitical landscape, everything around the younger generation. There's, um, or channels more data, the more engagement. How >>are you >>looking at this? What's your vision of these trends? Can you share your thoughts on how that's impacting learning and teaching? >>So there are three things that I want to quickly touch on number one. I think government are beginning to recognize that they really need to change the way they approach solving social and economic problems. The pandemic has certainly calls into question that if you do not have a digital strategy, you can't You can find a better time, uh, to now develop and not just developed a digital strategy, but actually to put it in place. And so government are shifting very, very quickly into the cloud and adopting digital strategy and use digital strategy to address some of the key problems that they are facing. And they have to solve them in a very short period of time. Right? We will talk about speed, three agility off the cloud. That's why the cloud is so powerful for government to adult. The second thing is that we saw a lot of schools closed down across the world. UNESCO reported what 1.5 billion students out of schools. So how then do you continue teaching and learning when you don't have physical classroom open? And that's where education, technology companies and, you know, heroes like Janine's Company and others there's so many of them around our ableto come forward and offer their services and help schools go online run classrooms online continue to allow teaching and learning, you know, online and and this has really benefited the overall education system. The third thing that is happening is that I think tertiary education and maybe even catch off education model will have to change. And they recognize that, you know, again, it goes back to the digital strategy that they got to have a clear digital strategy. And the education technology companies like, what? Who we have here today, just the great partners that the education system need to look at to help them solve some of these problems and get toe addressing giving a solution very, very quickly. >>Well, I know you're being kind of polite to the old guard, but I'm not that polite. I'll just say it. There's some old technology out there and Jenny and you go, You're young enough not to know what I t means because you're born in the cloud. So that's good for you. I remember what I t is like. In fact, there's a There's a joke here in the United States that with everyone at home, the teachers have turned into the I T department, meaning they're helping the parents and the kids figure out how to go on mute and how toe configure a network adds just translation. If they're routers, don't work real problems. I mean, this was technology. Schools were operating with low tech zooms out there. You've got video conferencing, you've got all kinds of things. But now there's all that support that's involved. And so what's happening is it's highlighting the real problems of the institutional technology. So, Vincent, I'll start with you. Um, this is a big problem. So cloud solves that one. You guys have pretty much helped. I t do things that they don't want to do any more by automation. This >>is an >>opportunity not necessary. There's a problem today, but it's an opportunity tomorrow. You just quickly talk about how you see the cloud helping all this manual training and learning new tools. >>We are all now living in a cloud empowered economy. Whether we like it or not, we are touching and using services. There are powered by the cloud, and a lot of them are powered by the AWS cloud. But we don't know about it. A lot of people just don't know, right Whether you are watching Netflix, um Well, in the old days you're buying tickets and and booking hotels on Expedia or now you're actually playing games on epic entertainment, you know, playing fortnight and all those kind of games you're already using and a consumer off the cloud. And so one of the big ideas that we have is we really want to educate and create awareness off club computing for every single person. If it can be used for innovation and to bring about benefits to society, that is a common knowledge that everyone needs to happen. So the first big idea is want to make sure that everyone actually is educated on club literacy? The second thing is, for those who have not embarked on a clear cloud strategy, this is the time. Don't wait for for another pandemic toe happen because you wanna be ready. You want to be prepared for the unknown, which is what a lot of people are faced with, and you want to get ahead of the curve and so education training yourself, getting some learning done, and that's really very, very important as the next step to prepare yourself toe face the uncertainty and having programs like AWS EC start actually helps toe empower and catalyzed innovation in the education industry that our two founders have actually demonstrated. So back to you Join. >>Congratulations on the head. Start. We'll get into that real quickly. Uh, head start. But let's first get the born in the cloud generation, Janine. And you go, You guys were competing. You gotta get your APS out there. You gotta get your solutions. You're born in the cloud. You have to go compete with the existing solutions. How >>do you >>view that? What's your strategy? What's your mindset? Janine will start with you. >>So for us, way are very aware that we're solving a problem that has never been solved, right? If not, we wouldn't have so many people who are not learning. So So? So this is a very big problem. And being able to liberate on cloud technology means that we're able to just focus on what we do best. Right? How do we make sure that learning is sufficient and learning is, um, effective? And how do we keep people motivated and all those sorts of great things, um, leveraging on game mechanics, social network and incentives. And then while we do that on the outside way, can just put almost out solved everything to AWS cloud technology to help us not worry about that. And you were absolutely right. The pandemic actually woke up a lot of people and hands organizations like myself. We start to get queries from governments on brother, even big NGOs on, you know, because before cove it, we had to really do our best to convince them until our troops are dry and way, appreciate this opportunity and and also we want to help people realized that in order to buy, adopting either blended approach are a adopting technology means that you can do mass customization off learning as well. And that's what could what we could do to really push learning to the next level. So and there are a few other creative things that we've done with governments, for example, with the government off East Java on top of just using the education platform as it is andare education platform, which is education game Donald Civilization. Um, they have added in a module that teaches Cove it because, you know, there's health care system is really under a lot of strain there, right and adding this component in and the most popular um mitigate in that component is this This'll game called hopes or not? And it teaches people to identify what's fake news and what's real news. And that really went very popular and very well in that region off 25 million people. So tech became not only just boring school subjects, but it can be used to teach many different things. And following that project, we are working with the federal government off Indonesia to talk about anti something and even a very difficult topic, like sex education as well. >>Yeah, and the learning is nonlinear, horizontally scalable, its network graft so you can learn share about news. And this is contextual data is not just learning. It's everything is not like, you know, linear learning. It's a whole nother ballgame, Hugo. Um, your competitive strategy. You're out there now. You got the covert world. How are you competing? How is Amazon helping you? >>Absolutely. John, look, this is an interesting one, because the current competitors that we have, uh, educational psychologist, they're not a tech, So I wouldn't say that we're competing against a competitive per se. I would say that we're competing against the old way of doing things. The challenge for us is to, um, empower people to be comfortable. We've having a machine, you know, analyzing your kids or your recording and telling you if it's likely to be dislikes. Yeah, and in this concept, obviously, is very new. You know, we can see this in other industry with, you know, you have the app that stand Ford created to diagnose skin cancer by taking a photo of your skin. It's being done in different industry. Eso The biggest challenge for us is really about the old way of doing things. What's been really interesting for us is that, you know, education is lifelong, you know, you have a big part in school, but when you're an adult, you learn on Did you know we've been doing some very interesting work with the Justice Department where, you know, we look at inmate and you know, often when people go to jail, they have, you know, some literacy difficulty, and so we've been doing some very interesting working in this field. We're also doing some very interesting work with HR and company who want to understand their staff and put management in place so that every single person in the company are empowered to do their job and and and, you know, achieve success. So, you know, we're not competing against attack. And often when we talk to other ethnic company, we come before you know, we don't provide a learning solution. We provide a assessment solution on e assessment solution. So, really, John, what we're competing against is an old way of doing things. >>And that's exactly why clouds so successful. You change the economics, you're actually a net new benefit. And I think the cloud gives you speed and you're only challenges getting the word out because the economics air just game changing. Right, So that's how Amazon does so well, um, by the way, you could take all our recordings from the Cube, interviews all my interviews and let me know how ideo Okay, so, um, got all the got all the voice recordings from my interview. I'm sure the test will come back challenging. So take a look at that e. I wanna come back to you. But I wanna ask the two founders real quick for the folks watching. Okay on Dhere about Amazon. They know the history. They know the startups that started on Amazon that became unicorns that went public. I mean, just a long list of successes born in the cloud You get big pay when you're successful. Love that business model. But for the folks watching that were in the virtual garages, air in their houses, innovating and building out new ideas. What does Ed start mean for them? How does it work? Would you would recommend it on what are some of the learnings that you have from work with Head Start? >>But our relationship X s start is almost not like client supplier relationship. It's almost like business partners. So they not only help us with protect their providing the technology, but on top of that, they have their system architect to work with my tech team. And they have, you know, open technical hours for us to interact. And on top of that, they do many other things, like building a community where, you know, people like me and Google can meet and also other opportunities, like getting out the word out there. Right. As you know, all of their, uh, startups run on a very thin budget. So how do we not pour millions of dollars into getting out without there is another big benefit as well. So, um definitely very much recommend that start. And I think another big thing is this, right? Uh, what we know now that we have covert and we have demand coming from all over the place, including, like, even a lot of interest, Ally from the government off Gambia, you know? So how do we quickly deploy our technology right there? Or how do we deploy our technology from the the people who are demanding our solution in Nigeria? Right. With technology that is almost frameless. >>Yeah. The great enabling technology ecosystem to support you. And they got the region's too. So the region's do help. I love we call them Cube Region because we're on Amazon. We have our cloud, Hugo, um, and start your observations, experience and learnings from working with aws. >>Absolutely. Look, this is a lot to say, so I'll try and making sure for anyone, but but also for us on me personally, also as an individual and as a founder, it's really been a 365 sort of support. So like Johnny mentioned, there's the community where you can connect with existing entrepreneur you can connect with expert in different industry. You can ask technical expert and and have ah, you know office our every week. Like you said Jenny, with your tech team talking to cloud architect just to unlock any problem that you may have on day and you know, on the business side I would add something which for us has been really useful is the fact that when we when we've approached government being able to say that we have the support off AWS and that we work with them to establish data integrity, making sure everything is properly secured and all that sort of thing has been really helpful in terms off, moving forward with discussion with potential plant and and government as well. So there's also the business aspect side of things where when people see you, there's a perceived value that you know, your your entourage is smart people and and people who are capable of doing great things. So that's been also really >>helpful, you know, that's a great point. The APP SEC review process, as you do deals is a lot easier. When here on AWS. Vincent were a little bit over time with a great, great great panel here. Close us out. Share with us. What's next for you guys? You got a great startup ecosystem. You're doing some great work out there and education as well. Healthcare. Um, how's your world going on? Take a minute, Thio. Explain what's going on in your world, >>John, I'm part of the public sector Team Worldwide in AWS. We have very clear mission statements on by the first is you know, we want to bring about destructive innovation and the AWS Cloud is really the platform where so many off our techs, whether it's a text, healthtech golf text, all those who are developing solutions to help our governments and our education institutions or health care institutions to really be better at what they do, we want to bring about those disruptive innovations to the market as fast as possible. It's just an honor on a privilege for us to be working. And why is that important? It's because it's linked to our second mission, which is to really make the world a better place to really deliver. Heck, the kind of work that Hugo and Janina doing. You know, we cannot do it by ourselves. We need specialists and really people with brilliant ideas and think big vision to be able to carry out what they are doing. And so we're just honored and privileged to be part off their work And in delivering this impact to society, >>the expansion of AWS out in your area has been phenomenal growth. I've been saying to Teresa Carlson, Andy Jassy in the folks that aws for many, many years, that when you move fast with innovation, the public sector and the private partnerships come together. You're starting to see that blending. And you've got some great founders here, uh, making a social impact, transforming, teaching and learning. So congratulations, Janine and Hugo. Thank you for sharing your story on the Cube. Thanks for joining. >>Thank you. Thank >>you, John. >>I'm John Furry with the Cube. Virtual were remote. We're not in person this year because of the pandemic. You're watching a divest Public sector online summit. Thank you for watching

>> Announcer: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Online brought to you by Amazon Web Services. >> Welcome back to theCUBE's Virtual coverage of Amazon Web Services, AWS Public Sector Summit Online. We couldn't be there in person, but we're doing remote interviews. I'm John Furrier, your host of the cube. We've got a great segment from Asia Pacific on the other side of the world from California, about social impact, transforming teaching and learning with Cloud technology we've got three great guests. Hugo Richard is the CEO and co-founder of Dystech and Janine Teo CEO and founder of Solve Education founders and CEOs of startups is great Vincent Quah is the APAC Regional Head of Education, Healthcare Not-For-Profit and Research for AWS. (indistinct) big program. Vincent, thanks for coming on Janine and Hugo thank you for joining. >> Thanks for having us, John. >> Thanks John So, we're not there in person. We're doing remote interviews. I'm really glad to have this topic because now more than ever social change is happening. This next generation is building software and applications to solve big problems. And it's not like yesterday's problems, they're today's problems and learning and mentoring and starting companies are all happening virtually, digitally, and also in person. So the world's changing. So I got to ask you, Vincent we'll start with you Amazon, obviously big (indistinct) culture. You got two great founders here and CEOs doing some great stuff. Tell us a little bit what's going on at APAC, a lot of activity. I mean re-invent and the summits out there are really popular. Give us an update on what's happening. >> Thank you, thank you for the question, John. I think it's extremely exciting, especially in today's context, that we are seeing so much activities, especially in the education technology sector. One of the challenges that we saw from our education technology customers is that they're always looking for help and support in many of the innovation that they're trying to develop. The second area of observation that we had was that they are always alone with very limited resources and they usually do not know where to look for in terms of support and in terms of not who they can reach out to from a community standpoint, that is actually how we started and developed this program called AWS EdStart. It is a program specifically for education technology companies that are targeting, delivering innovative education solutions for the education sector. And we bring specific benefits to these education technology companies when they joined the program, AWS EdStart. Yeah, three specific areas, one is that we support them with technical support, which is really, really key trying to help them navigate in the various ranges of AWS services that allows them to develop innovative services. The second area is leaking them and building a community of like-minded education technology founders, and linking them also to investors and VCs. And lastly, of course, in supporting innovation, we support them with a bit of AWS Cloud credits, promotional credits for them so that they can go and experiment and develop innovations for their customers. >> That's great stuff I want to get into that program a little bit further because I think, you know, that's a great example of kind of benefits AWS provides (indistinct) free credits or, no one is going to turn away free credits. We'll take the free credits all the time, all day long, but really it's about the innovation. Janine I want to get your thoughts. How was Solve Education born? What problems were you solving? What made you start this company and tell us your story. >> Thank you so much for the question. So actually my co-founder was invited to speak at an African Innovation Forum couple of years back, and the topic that he was sharing with, how can Africa skip over the industrialization phase and go direct to the knowledge economy and that discussion went towards, in order to have access to the knowledge commonly you need knowledge and how do you get knowledge well through education. So that's when everybody in the Congress was a bit stuck, right? And the advice was in order to scale fast, we need to figure out a way to not while, you know, engaging the government and schools and teachers, but not depend on them for the success of the education initiative. So, and that's was what (indistinct) walk away from the conference. And when we met in Jakarta, we started talking about that also. So while I'm Singaporean, I worked in many developing countries. And the problem that we're trying to solve is it might be shocking to you, but UNESCO recently published over 600 million children and youth are not learning. And that is a big number globally, right? And out of all the SDGs per se, from UN, education, and perhaps I'm biased, because I'm a computer engineer, but I see that education is the only one that can be solved by transforming (indistinct) versus the other SDGs like, you know, poverty or hunger, right? Actually require big amount of logistic coordination and so on. So we saw a very interesting trend with mobile phones, particularly smart phones becoming more and more ubiquitous. And with that, we saw a very interesting opportunity for us to disseminate education through mobile technology. So we in self-education elevate people on a public through providing education and employment opportunities, (indistinct) on tech. And we.. our vision is to enable people to empower themselves. And what we do is that we build an open platform that provides everyone active education. >> Hugo How about your company? What problem are you solving? How did it all get started? Tell us your vision. >> Thanks, John. Well, look, it all started with a joke, one of the co-founder, Matthew, had a, he has a child who has severe learning disorder and dyslexia, and he made a joke one day about having (indistinct) that could support those kids. And I took the joke seriously. So we started sitting down and, you know, trying to figure out how we can make this happen. So it turns out that dyslexia is the most common learning disorder in the world. We have an estimated 10 to 20% of the worldwide population with the disorder, due to in context, that's between 750 million up to 1.5 billion individuals with that learning disorder. And so where we sort of try and tackle the problem is that we've identified that there's two key things for children with dyslexia. The first one is that knowing that it is dyslexia, meaning being assessed. And the second one is, so what, what do we do about it? And so given all expertise in data science and AI, we clearly saw an opportunity of sort of building something that could assess individual children and adults with dyslexia. The big problem with the assessment is that it's very expensive. We've met parents in the U.S. specifically who paid up to 6,000 U.S. Dollars for a diagnosis with an educational psychologist. On the other side, we have parents who wait 12 months before having a spot. So what we saw clearly is that the observable symptom of dyslexia are reading, and everyone has a smartphone and (indistinct) from smartphone is actually really good to record your voice. So we started collecting audio recordings from children and adults who have been diagnosed with dyslexia. And we then try to model and to recognize the likelihood of dyslexia by analyzing audio recording. So in theory, it's like diagnosed dyslexic, helping other undiagnosed dyslexic being diagnosed. So we have now (indistinct) them. That can take about 10 minutes, which requires no prior training costs, 20 U.S. Dollar, and anyone can use it to assess someone's likelihood of dyslexia. >> You know, this is the kind of thing that really changes the game because you also have learning for questions that are nonlinear and different. You've got YouTube, you've got videos, you have knowledge bases, you've got community. Vincent mentioned that Janine, you mentioned, you know, making the bits of driver and changing technology. This is the kind of thing that seems obvious now as look at it, but now you've got to put it into action. So, you know, one of the benefits of Cloud on AWS, we'll give a plug for Vincent's company here is that you can move faster. And that's something that Andy Jassy always talks about and Teresa Carlson, being builders and moving fast, but you got to build it. So Janine and Hugo, please take a minute to explain, okay, you got the idea, you're kicking the tires, you're putting it together. Now you've got to actually start writing code. What happens next? Janine, we'll start with you. >> Well, what happens next? Okay. So for us, we know education technology is not new, right. And education games are not new, but before we even started, we look at what's available and we quickly realized that the digital divide is very real, most technology out there first are not designed for (indistinct) devices, and also not designed for people who do not have internet at home. so with just that assessment, we quickly realized we need to do something about, and that's something that problem is. One is just one part of the whole puzzle. There's two other very important things. One is advocacy. Can we prove that we can teach through mobile devices? And then the second thing is motivation. And again, it's also really obvious, but, and people might think that, you know, marginalized communities are super motivated to learn. Well, I wouldn't say that they are not motivated, but just like all of us behavioral change is really hard, right? I would love to workout everyday, but you know, I don't really do that. So how do we use technology to, you know, to induce that behavioral change so that we can help support their motivation to learn. So those are the different things that we work on, certainly with it. >> Yeah, and then a motivated community, is even more impactful because then once the flywheel gets going, then it's powerful. Hugo your reaction to, you know, you got the idea, you got the vision, you're starting to put, take one step in front of the other. You got AWS, take us through the progression on the startup. >> Yeah, sure. I mean, what Janine said is, very likely to, to what we're trying to do, but for us, there's three key things that in order for us to be successful and help as much people as we can, it is three things. The first one is reliability. The second one is accessibility and the other one is affordability. So the reliability means that we have been doing a lot of work in the scientific approach as to how are we going to make this work And so we've.. We have a couple of scientific publications and we had to collect data and, you know, sort of publish this into AI conferences and things like that. So it makes sure that we have the scientific evidence behind us that support us. And so what that means is that we have to have a large amount of data and then put this to work, right on the other side of the accessibility and affordability means that Janine said, you know, it needs to be on the Cloud because if it's on the Cloud, it's accessible for anyone with any device, with an internet connection, which is, you know, covering most of the globe. So it's a good start. And so, the Cloud obviously allow us to deliver the same experience and the same value to clients and parent and teacher and (indistinct) professional around the world. And that's why, you know, it's been amazing, to be able to use the technology on the AI side as well obviously there is a lot of benefit of being able to leverage the computational power of the Cloud, to make better algorithm and better training. >> (indistinct) to come back to both of you on the AI question. I think that's super important. Vincent I want to come back to you though, because in Asia Pacific and that side of the world, you still have the old guard, the incumbents around education and learning, but there's great penetration with mobile and broadband. You have great trends as a tailwind for Amazon and these kinds of opportunities EdStart, what trends are you seeing that are now favoring you? Because with COVID, you know, the world is almost kind of like been a line in the sand is before COVID and after COVID, there's more demand for learning and education and community now than ever before, not just for education, the geopolitical landscape, everything around the younger generation is more channels, more data, the more engagement, how are you looking at this? What's your vision of these trends? Can you share your thoughts on how that's impacting learning and teaching? >> So there're three things that I want to quickly touch on. Number one, I think governments are beginning to recognize that they really need to change the way they approach solving social and economic problems. The pandemic has certainly calls into question that if you do not have a digital strategy, you can't find a better time to now develop and not just develop a digital strategy, but actually to put it in place. And so government are shifting very, very quickly into the Cloud and adopting digital strategy and use digital strategy to address some of the key problems that they are facing. And they have to solve them in a very short period of time. Right, We will talk about speed, the agility of the Cloud, and that's why the Cloud is so powerful for government to adopt. The second thing is that we saw a lot of schools close down across the world, UNESCO reported, what 1.5 billion students out of schools. So how then do you continue teaching and learning when you don't have physical classroom open and that's where education technology companies and, you know, heroes like Janine's company and others, there are so many of them around are able to come forward and offer their services and help schools go online, run classrooms online, continue to allow teaching and learning, you know, online. And this has really benefited the overall education system. The third thing that is happening is that I think tertiary education and maybe even (indistinct) education model will have to change. And they recognize that, you know, again, it goes back to the digital strategy that they've got to have a clear digital strategy and the education technology companies like what, who we have here today. Just the great partners that the education system need to look at to help them solve some of these problems and get to addressing giving a solution very, very quickly. >> Well, I know you're being kind of polite to the old guard, but I'm not that polite. I'll just be, say it. There's some old technology out there and Janine and Hugo, you're young enough not to know what IT means because you're born in the Cloud. So that's good for you. I remember what I teach. Like in fact, there's a, there's a joke here in the United States so with everyone at home the teachers have turned into the IT department, meaning they're helping the parents and the kids figure out how to go unmute and how to configure a network address translation if their routers don't work, real problems. I mean, this was technology, schools were operating with low tech Zoom's out there. You've got video conferencing, you've got all kinds of things, but now there's all that support that's involved. And so what's happening is it's highlighting the real problems of the institutional technology. So Vincent, I'll start with you. This is a big problem. So Cloud solves that one, you guys have pretty much helped IT do things that they don't want to do anymore by automation. This is an opportunity, not necessarily.. There's a problem today, but it's an opportunity tomorrow. Could you just quickly talk about how you see the Cloud, helping all this manual training and learning new tools. >> Absolutely. So I want to say and put forth a hypothesis and that hypothesis is simply this. We are all now living in a Cloud empowered economy, whether we like it or not, we are touching and using services that are powered by the Cloud. And a lot of them are powered by the AWS Cloud, but we don't know about it. A lot of people just don't know, right? Whether you are watching Netflix, well in the old days, you're buying tickets and booking hotels on Expedia, or now you're actually playing games on Epic Entertainment, you know, playing Fortnite and all those kinds of games you're already using and a consumer of the Cloud. And so one of the big ideas that we have is we really want to educate and create awareness of top computing for every single person. If it can be used for innovation and to bring about benefits to society that is a common knowledge that everyone needs to have. And so the first big idea is, want to make sure that everyone actually is educated on Cloud literacy. The second thing is for those who have not embarked on a clear Cloud strategy, this is the time don't wait for another pandemic to happen because you want to be ready. You want to be prepared for the unknown, which is what a lot of people are faced with. And you want to get ahead of the curve. And so education, training yourself, getting some learning done. And that's really very, very important as a next step to prepare yourself to face the uncertainty and having programs like AWS EdStart actually helps to empower and catalyze innovation in the education industry that our two founders have actually demonstrated. So back to you, John. >> Congratulation on the EdStart, we'll get into that and real quickly, EdStart but let's first get the born in the Cloud generation Janine and Hugo you guys are competing, you got to get your apps out there. You've got to get your solutions. You're born in the Cloud. You have to go compete with the existing solutions. How do you view that? What's your strategy? What's your mindset, Janine, we'll start with you. >> So for us, we are very aware that we are solving a problem that has never been solved, right? If not, we wouldn't have so many people who are not learning. So this is a very big problem. And being able to leverage on Cloud technology means that we are able to just focus on what we do best, right? How do we make sure that learning is sufficient and learning is effective. And how do we get people motivated and all those sort of great things leveraging on game mechanics, social network, and incentives. And then while we do that on the Cloud side, we can just put that almost ourselves, everything to AWS Cloud technology to help us not worry about that. And you were absolutely right. The pandemic actually woke up a lot of people and has organizations like myself. We start to get queries from governments and other, even big NGOs on, you know, because before COVID we had to really do our best to convince them until (indistinct) are dry >> (indistinct) knock on doors and convince people. >> Yes. And now we don't have to do that. It's the other way around. So we are really, you know, we appreciate this opportunity and also we want to help people realize that in order to.. By adopting either a blended approach or adopting technology means that you can do mass customization of learning as well. And that's, what we could do to really push learning to the next level. So, and, there are a few other creative things that we've done with governments, for example, with the government of East Java on top of just using the education platform, as it is an educational platform, which is education (indistinct) on our civilization, they have added in a module that teaches COVID because, you know, their health care system is really under a lot of strain there, right? And adding this component in and the most popular mini game in that component is this game called Hoax Or Not. And it teaches people to identify what's fake news and what's real news. And that really went very popular and very well in that region of 25 million people. So that became not only just boring school subjects, but it can be used to teach many different things. And following that project, we are working with the Federal Government of Indonesia to talk about (indistinct) and even a very difficult topic like sex education as well. >> Yeah. And the learning is nonlinear, it's horizontally scalable, it's network graph. So you can learn, share about news. And this is contextual data. It's not just learning, it's everything. It's not like, you know, linear learning. It's a whole nother ballgame, Hugo, your competitive strategy. You're out there now, you got the COVID world. How are you competing? How's Amazon helping you? >> Absolutely John, look, this is an interesting one because the common competitor that we have are educational psychologist, they're not at tech. So I wouldn't say that we're competing against a competitor per se. I would say that we are competing against some old way of doing things. The challenge for us is to empower people, to be comfortable with having a machine, you know, analyzing your kid's audio recording and telling you if it's likely to be dyslexia. And this concept obviously is very new. You know, we can see this in other industry with AI, you know, you have the app that Stanford created to diagnose skin cancer by taking a photo of your skin. So it's being done in different industry. So the biggest challenge for us is really about the old way of doing things. What's been really interesting for us is that you know, education is lifelong, you know, you have a big pot in school, but when you're an adult you learn and, you know, we've been doing some very interesting work with the Justice Department where, you know, we look at inmate and, and, you know, often when people go to jail, they have, you know, some literacy difficulty. And so we've been doing some very interesting work in this field. We're also doing some very interesting work with HR and company who want to understand their staff and put management in place so that every single person in the company are empowered to do the job and, you know, achieve success. So, you know, we're not competing against Ed Tech. And often when we talk to other Ed Tech company, we come before, you know, we don't provide a learning solution. We provide an assessment solution, an E assessment solution. So really John, what we competing against is an old way of doing things. >> And that's exactly why the Cloud's so successful. You change the economics. You're actually a net new benefit. And I think the Cloud gives you speed. And your only challenge is getting the word out because the economics are just game changing, right? So that's how Amazon does so well, by the way, you can take all our recordings from theCUBE interviews, all my interviews and let me know how I do, okay. So got all the, got all the voice recordings for my interview. I'm sure the test will come back challenging. So take a look at that. >> Absolutely. >> Vincent I want to come back to you, but I want to ask the two founders real quick for the folks watching okay and hear about Amazon. They know the history, they know the startups that started on Amazon that became unicorns that went public. I mean, just a long list of successes born in the Cloud. You get big pay when you're successful, love that business model. But for the folks watching that are in the virtual garages or in their houses innovating and building out new ideas, what does EdStart mean for them? How does it work? Would you would recommend it? And what are some of the learnings that you have from working with EdStart? Janine We'll start with you. >> For me. So I would, for me, I would definitely highly recommend EdStart. And the reason is because EdStart, our relationship with EdStart, is almost not like a client-supplier relationship it's almost like business partners. So they not only help us with providing the technology. But on top of that, they have their system architects to work with my tech team and they have, you know, open technical hours for us to interact. And on top of that, they do many other things like building a community where, you know, people like me and Google can meet. And also other opportunities like getting out there, right? As you know, all of the startups run on a very thin budget. So how do we not pour millions of dollars into getting all that out there is another big benefit as well. So I'll definitely very much recommend EdStart. And I think another big thing is this, right? Now that we have COVID and we have demands coming from all other places including like, even (indistinct) from the Government of Gambia, you know, so how do we quickly deploy our technology right there? Or how do we deploy our technology from the people who are demanding our solution in Nigeria, right? With technology it is almost brainless. >> Yeah. The great enabling technology ecosystem to support you. I think, at the regions too. So the regions do help. I love we call them cube regions because we're on Amazon, we have our Cloud Hugo, EdStart your observations, experience and learnings from working with AWS. >> Absolutely. Look, there's a lot to say, so I'll try and make it short for anyone, but, so for us and me personally, and also as an individual and as a founder, it's really been a 365 sort of support. So like Janine mentioned, there's the community where you can connect with existing entrepreneur. You can connect with experts in different industry. You can ask technical experts and have a, you know, office hour every week. Like you said, Janine with, your tech team talking to a Cloud architect just to unlock any problem that you may have. And, you know, on the business side, I would add something which for us has been really useful is the fact that when we've approached government, being able to say that we have the support of AWS and that we work with them to establish data integrity, making sure everything is properly secured and all that sort of thing has been really helpful in terms of moving forward with discussion with potential client and government as well. So there's also the business aspect side of things, where when people see you, there's a perceived value that, you know, your entourage is smart people and people who are capable of doing great things. So that's been also really helpful. >> You know, that's a great point. The AppSec review process as you do deals is a lot easier when you're on AWS. Vincent we're a little bit over time. What a great panel here. Close us out, share with us what's next for you guys. You've got a great startup ecosystem and doing some great work out there and education as well, healthcare, how's your world going on? Take a minute to explain what's going on in your world. >> John I'm part of the public sector team worldwide in AWS, we have very clear mission statements. And the first is, you know, we want to bring about disruptive innovation. And the AWS Cloud is really the platform where so many of our Ed Techs, whether it's (indistinct) Health Tech, Gulf Tech, all those who are developing solutions to help our governments and our education institutions, our healthcare institutions to really be better at what they do. We want to bring about those disruptive innovations to the market, as fast as possible. It's just an honor and a privilege for us to be working. And why is that important? It's because it's linked to our second mission, which is to really make the world a better place to really deliver.. The kind of work that Hugo and Janine are doing. We cannot do it by ourselves. We need specialists and really people with brilliant ideas and think big vision to be able to carry out what they are doing. And so we're just honored and privileged to be part of their work. And in delivering this impact to society. >> The expansion of AWS out in your area has been phenomenal growth. I've been saying to Teresa Carlson and Andy Jassy and the folks at AWS for many, many years, that when you move fast with innovation, the public sector and the private partnerships come together, you starting to see that blending. And you've got some great founders here making a social impact, transforming teaching and learning. So congratulations, Janine and Hugo. Thank you for sharing your story on theCUBE. Thanks for joining. >> Thank you for having us >> thanks John >> Thank you, John. I'm John Furrier with theCUBE Virtual we're remote. We're not in person this year because of the pandemic you're watching AWS Public Sector Online Summit. Thank you for watching. (soft music)

(water running) (upbeat music) (electric buzzing) >> Fuel up! (upbeat music) (audience clapping) (upbeat music) >> Announcer: From around the globe. It's the queue with digital coverage of DockerCon live 2020, brought to you by Docker and its ecosystem partners. >> Hello everyone, welcome to DockerCon 2020. I'm John Furrier with theCUBE I'm in our Palo Alto studios with our quarantine crew. We have a great lineup here for DockerCon 2020. Virtual event, normally it was in person face to face. I'll be with you throughout the day from an amazing lineup of content, over 50 different sessions, cube tracks, keynotes, and we've got two great co-hosts here with Docker, Jenny Burcio and Bret Fisher. We'll be with you all day today, taking you through the program, helping you navigate the sessions. I'm so excited. Jenny, this is a virtual event. We talk about this. Can you believe it? Maybe the internet gods be with us today and hope everyone's having-- >> Yes. >> Easy time getting in. Jenny, Bret, thank you for-- >> Hello. >> Being here. >> Hey. >> Hi everyone, so great to see everyone chatting and telling us where they're from. Welcome to the Docker community. We have a great day planned for you. >> Guys great job getting this all together. I know how hard it is. These virtual events are hard to pull off. I'm blown away by the community at Docker. The amount of sessions that are coming in the sponsor support has been amazing. Just the overall excitement around the brand and the opportunities given this tough times where we're in. It's super exciting again, made the internet gods be with us throughout the day, but there's plenty of content. Bret's got an amazing all day marathon group of people coming in and chatting. Jenny, this has been an amazing journey and it's a great opportunity. Tell us about the virtual event. Why DockerCon virtual. Obviously everyone's canceling their events, but this is special to you guys. Talk about DockerCon virtual this year. >> The Docker community shows up at DockerCon every year, and even though we didn't have the opportunity to do an in person event this year, we didn't want to lose the time that we all come together at DockerCon. The conversations, the amazing content and learning opportunities. So we decided back in December to make DockerCon a virtual event. And of course when we did that, there was no quarantine we didn't expect, you know, I certainly didn't expect to be delivering it from my living room, but we were just, I mean we were completely blown away. There's nearly 70,000 people across the globe that have registered for DockerCon today. And when you look at DockerCon of past right live events, really and we're learning are just the tip of the iceberg and so thrilled to be able to deliver a more inclusive global event today. And we have so much planned I think. Bret, you want to tell us some of the things that you have planned? >> Well, I'm sure I'm going to forget something 'cause there's a lot going on. But, we've obviously got interviews all day today on this channel with John and the crew. Jenny has put together an amazing set of all these speakers, and then you have the captain's on deck, which is essentially the YouTube live hangout where we just basically talk shop. It's all engineers, all day long. Captains and special guests. And we're going to be in chat talking to you about answering your questions. Maybe we'll dig into some stuff based on the problems you're having or the questions you have. Maybe there'll be some random demos, but it's basically not scripted, it's an all day long unscripted event. So I'm sure it's going to be a lot of fun hanging out in there. >> Well guys, I want to just say it's been amazing how you structured this so everyone has a chance to ask questions, whether it's informal laid back in the captain's channel or in the sessions, where the speakers will be there with their presentations. But Jenny, I want to get your thoughts because we have a site out there that's structured a certain way for the folks watching. If you're on your desktop, there's a main stage hero. There's then tracks and Bret's running the captain's tracks. You can click on that link and jump into his session all day long. He's got an amazing set of line of sleet, leaning back, having a good time. And then each of the tracks, you can jump into those sessions. It's on a clock, it'll be available on demand. All that content is available if you're on your desktop. If you're on your mobile, it's the same thing. Look at the calendar, find the session that you want. If you're interested in it, you could watch it live and chat with the participants in real time or watch it on demand. So there's plenty of content to navigate through. We do have it on a clock and we'll be streaming sessions as they happen. So you're in the moment and that's a great time to chat in real time. But there's more, Jenny, getting more out of this event. You guys try to bring together the stimulation of community. How does the participants get more out of the the event besides just consuming some of the content all day today? >> Yes, so first set up your profile, put your picture next to your chat handle and then chat. John said we have various setups today to help you get the most out of your experience are breakout sessions. The content is prerecorded, so you get quality content and the speakers and chat so you can ask questions the whole time. If you're looking for the hallway track, then definitely check out the captain's on deck channel. And then we have some great interviews all day on the queue. So set up your profile, join the conversation and be kind, right? This is a community event. Code of conduct is linked on every page at the top, and just have a great day. >> And Bret, you guys have an amazing lineup on the captain, so you have a great YouTube channel that you have your stream on. So the folks who were familiar with that can get that either on YouTube or on the site. The chat is integrated in, So you're set up, what do you got going on? Give us the highlights. What are you excited about throughout your day? Take us through your program on the captains. That's going to be probably pretty dynamic in the chat too. >> Yeah, so I'm sure we're going to have lots of, stuff going on in chat. So no cLancaerns there about, having crickets in the chat. But we're going to be basically starting the day with two of my good Docker captain friends, (murmurs) and Laura Taco. And we're going to basically start you out and at the end of this keynote, at the end of this hour and we're going to get you going and then you can maybe jump out and go to take some sessions. Maybe there's some stuff you want to check out and other sessions that you want to chat and talk with the instructors, the speakers there, and then you're going to come back to us, right? Or go over, check out the interviews. So the idea is you're hopping back and forth and throughout the day we're basically changing out every hour. We're not just changing out the guests basically, but we're also changing out the topics that we can cover because different guests will have different expertise. We're going to have some special guests in from Microsoft, talk about some of the cool stuff going on there, and basically it's captains all day long. And if you've been on my YouTube live show you've watched that, you've seen a lot of the guests we have on there. I'm lucky to just hang out with all these really awesome people around the world, so it's going to be fun. >> Awesome and the content again has been preserved. You guys had a great session on call for paper sessions. Jenny, this is good stuff. What other things can people do to make it interesting? Obviously we're looking for suggestions. Feel free to chirp on Twitter about ideas that can be new. But you guys got some surprises. There's some selfies, what else? What's going on? Any secret, surprises throughout the day. >> There are secret surprises throughout the day. You'll need to pay attention to the keynotes. Bret will have giveaways. I know our wonderful sponsors have giveaways planned as well in their sessions. Hopefully right you feel conflicted about what you're going to attend. So do know that everything is recorded and will be available on demand afterwards so you can catch anything that you miss. Most of them will be available right after they stream the initial time. >> All right, great stuff, so they've got the Docker selfie. So the Docker selfies, the hashtag is just DockerCon hashtag DockerCon. If you feel like you want to add some of the hashtag no problem, check out the sessions. You can pop in and out of the captains is kind of the cool kids are going to be hanging out with Bret and then all they'll knowledge and learning. Don't miss the keynote, the keynote should be solid. We've got chain Governor from red monk delivering a keynote. I'll be interviewing him live after his keynote. So stay with us. And again, check out the interactive calendar. All you got to do is look at the calendar and click on the session you want. You'll jump right in. Hop around, give us feedback. We're doing our best. Bret, any final thoughts on what you want to share to the community around, what you got going on the virtual event, just random thoughts? >> Yeah, so sorry we can't all be together in the same physical place. But the coolest thing about as business online, is that we actually get to involve everyone, so as long as you have a computer and internet, you can actually attend DockerCon if you've never been to one before. So we're trying to recreate that experience online. Like Jenny said, the code of conduct is important. So, we're all in this together with the chat, so try to be nice in there. These are all real humans that, have feelings just like me. So let's try to keep it cool. And, over in the Catherine's channel we'll be taking your questions and maybe playing some music, playing some games, giving away some free stuff, while you're, in between sessions learning, oh yeah. >> And I got to say props to your rig. You've got an amazing setup there, Bret. I love what your show, you do. It's really bad ass and kick ass. So great stuff. Jenny sponsors ecosystem response to this event has been phenomenal. The attendance 67,000. We're seeing a surge of people hitting the site now. So if you're not getting in, just, Wade's going, we're going to crank through the queue, but the sponsors on the ecosystem really delivered on the content side and also the sport. You want to share a few shout outs on the sponsors who really kind of helped make this happen. >> Yeah, so definitely make sure you check out the sponsor pages and you go, each page is the actual content that they will be delivering. So they are delivering great content to you. So you can learn and a huge thank you to our platinum and gold authors. >> Awesome, well I got to say, I'm super impressed. I'm looking forward to the Microsoft Amazon sessions, which are going to be good. And there's a couple of great customer sessions there. I tweeted this out last night and let them get you guys' reaction to this because there's been a lot of talk around the COVID crisis that we're in, but there's also a positive upshot to this is Cambridge and explosion of developers that are going to be building new apps. And I said, you know, apps aren't going to just change the world, they're going to save the world. So a lot of the theme here is the impact that developers are having right now in the current situation. If we get the goodness of compose and all the things going on in Docker and the relationships, this real impact happening with the developer community. And it's pretty evident in the program and some of the talks and some of the examples. how containers and microservices are certainly changing the world and helping save the world, your thoughts. >> Like you said, a number of sessions and interviews in the program today that really dive into that. And even particularly around COVID, Clement Beyondo is sharing his company's experience, from being able to continue operations in Italy when they were completely shut down beginning of March. We have also in theCUBE channel several interviews about from the national Institute of health and precision cancer medicine at the end of the day. And you just can really see how containerization and developers are moving in industry and really humanity forward because of what they're able to build and create, with advances in technology. >> Yeah and the first responders and these days is developers. Bret compose is getting a lot of traction on Twitter. I can see some buzz already building up. There's huge traction with compose, just the ease of use and almost a call for arms for integrating into all the system language libraries, I mean, what's going on with compose? I mean, what's the captain say about this? I mean, it seems to be really tracking in terms of demand and interest. >> I think we're over 700,000 composed files on GitHub. So it's definitely beyond just the standard Docker run commands. It's definitely the next tool that people use to run containers. Just by having that we just buy, and that's not even counting. I mean that's just counting the files that are named Docker compose YAML. So I'm sure a lot of you out there have created a YAML file to manage your local containers or even on a server with Docker compose. And the nice thing is is Docker is doubling down on that. So we've gotten some news recently, from them about what they want to do with opening the spec up, getting more companies involved because compose is already gathered so much interest from the community. You know, AWS has importers, there's Kubernetes importers for it. So there's more stuff coming and we might just see something here in a few minutes. >> All right, well let's get into the keynote guys, jump into the keynote. If you missing anything, come back to the stream, check out the sessions, check out the calendar. Let's go, let's have a great time. Have some fun, thanks and enjoy the rest of the day we'll see you soon. (upbeat music) (upbeat music) >> Okay, what is the name of that Whale? >> Molly. >> And what is the name of this Whale? >> Mobby. >> That's right, dad's got to go, thanks bud. >> Bye. >> Bye. Hi, I'm Scott Johnson, CEO of Docker and welcome to DockerCon 2020. This year DockerCon is an all virtual event with more than 60,000 members of the Docker Community joining from around the world. And with the global shelter in place policies, we're excited to offer a unifying, inclusive virtual community event in which anyone and everyone can participate from their home. As a company, Docker has been through a lot of changes since our last DockerCon last year. The most important starting last November, is our refocusing 100% on developers and development teams. As part of that refocusing, one of the big challenges we've been working on, is how to help development teams quickly and efficiently get their app from code to cloud And wouldn't it be cool, if developers could quickly deploy to the cloud right from their local environment with the commands and workflow they already know. We're excited to give you a sneak preview of what we've been working on. And rather than slides, we thought we jumped right into the product. And joining me demonstrate some of these cool new features, is enclave your DACA. One of our engineers here at Docker working on Docker compose. Hello Lanca. >> Hello. >> We're going to show how an application development team collaborates using Docker desktop and Docker hub. And then deploys the app directly from the Docker command line to the clouds in just two commands. A development team would use this to quickly share functional changes of their app with the product management team, with beta testers or other development teams. Let's go ahead and take a look at our app. Now, this is a web app, that randomly pulls words from the database, and assembles them into sentences. You can see it's a pretty typical three tier application with each tier implemented in its own container. We have a front end web service, a middle tier, which implements the logic to randomly pull the words from the database and assemble them and a backend database. And here you can see the database uses the Postgres official image from Docker hub. Now let's first run the app locally using Docker command line and the Docker engine in Docker desktop. We'll do a Doc compose up and you can see that it's pulling the containers from our Docker organization account. Wordsmith, inc. Now that it's up. Let's go ahead and look at local host and we'll confirm that the application is functioning as desired. So there's one sentence, let's pull and now you and you can indeed see that we are pulling random words and assembling into sentences. Now you can also see though that the look and feel is a bit dated. And so Lanca is going to show us how easy it is to make changes and share them with the rest of the team. Lanca, over to you. >> Thank you, so I have, the source code of our application on my machine and I have updated it with the latest team from DockerCon 2020. So before committing the code, I'm going to build the application locally and run it, to verify that indeed the changes are good. So I'm going to build with Docker compose the image for the web service. Now that the image has been built, I'm going to deploy it locally. Wait to compose up. We can now check the dashboard in a Docker desktop that indeed our containers are up and running, and we can access, we can open in the web browser, the end point for the web service. So as we can see, we have the latest changes in for our application. So as you can see, the application has been updated successfully. So now, I'm going to push the image that I have just built to my organization's shared repository on Docker hub. So I can do this with Docker compose push web. Now that the image has been updated in the Docker hub repository, or my teammates can access it and check the changes. >> Excellent, well, thank you Lanca. Now of course, in these times, video conferencing is the new normal, and as great as it is, video conferencing does not allow users to actually test the application. And so, to allow us to have our app be accessible by others outside organizations such as beta testers or others, let's go ahead and deploy to the cloud. >> Sure we, can do this by employing a context. A Docker context, is a mechanism that we can use to target different platforms for deploying containers. The context we hold, information as the endpoint for the platform, and also how to authenticate to it. So I'm going to list the context that I have set locally. As you can see, I'm currently using the default context that is pointing to my local Docker engine. So all the commands that I have issued so far, we're targeting my local engine. Now, in order to deploy the application on a cloud. I have an account in the Azure Cloud, where I have no resource running currently, and I have created for this account, dedicated context that will hold the information on how to connect it to it. So now all I need to do, is to switch to this context, with Docker context use, and the name of my cloud context. So all the commands that I'm going to run, from now on, are going to target the cloud platform. So we can also check very, more simpler, in a simpler way we can check the running containers with Docker PS. So as we see no container is running in my cloud account. Now to deploy the application, all I need to do is to run a Docker compose up. And this will trigger the deployment of my application. >> Thanks Lanca. Now notice that Lanca did not have to move the composed file from Docker desktop to Azure. Notice you have to make any changes to the Docker compose file, and nor did she change any of the containers that she and I were using locally in our local environments. So the same composed file, same images, run locally and upon Azure without changes. While the app is deploying to Azure, let's highlight some of the features in Docker hub that helps teams with remote first collaboration. So first, here's our team's account where it (murmurs) and you can see the updated container sentences web that Lanca just pushed a couple of minutes ago. As far as collaboration, we can add members using their Docker ID or their email, and then we can organize them into different teams depending on their role in the application development process. So and then Lancae they're organized into different teams, we can assign them permissions, so that teams can work in parallel without stepping on each other's changes accidentally. For example, we'll give the engineering team full read, write access, whereas the product management team will go ahead and just give read only access. So this role based access controls, is just one of the many features in Docker hub that allows teams to collaboratively and quickly develop applications. Okay Lanca, how's our app doing? >> Our app has been successfully deployed to the cloud. So, we can easily check either the Azure portal to verify the containers running for it or simpler we can run a Docker PS again to get the list with the containers that have been deployed for it. In the output from the Docker PS, we can see an end point that we can use to access our application in the web browser. So we can see the application running in clouds. It's really up to date and now we can take this particular endpoint and share it within our organization such that anybody can have a look at it. >> That's cool Onka. We showed how we can deploy an app to the cloud in minutes and just two commands, and using commands that Docker users already know, thanks so much. In that sneak preview, you saw a team developing an app collaboratively, with a tool chain that includes Docker desktop and Docker hub. And simply by switching Docker context from their local environment to the cloud, deploy that app to the cloud, to Azure without leaving the command line using Docker commands they already know. And in doing so, really simplifying for development team, getting their app from code to cloud. And just as important, what you did not see, was a lot of complexity. You did not see cloud specific interfaces, user management or security. You did not see us having to provision and configure compute networking and storage resources in the cloud. And you did not see infrastructure specific application changes to either the composed file or the Docker images. And by simplifying a way that complexity, these new features help application DevOps teams, quickly iterate and get their ideas, their apps from code to cloud, and helping development teams, build share and run great applications, is what Docker is all about. A Docker is able to simplify for development teams getting their app from code to cloud quickly as a result of standards, products and ecosystem partners. It starts with open standards for applications and application artifacts, and active open source communities around those standards to ensure portability and choice. Then as you saw in the demo, the Docker experience delivered by Docker desktop and Docker hub, simplifies a team's collaborative development of applications, and together with ecosystem partners provides every stage of an application development tool chain. For example, deploying applications to the cloud in two commands. What you saw on the demo, well that's an extension of our strategic partnership with Microsoft, which we announced yesterday. And you can learn more about our partnership from Amanda Silver from Microsoft later today, right here at DockerCon. Another tool chain stage, the capability to scan applications for security and vulnerabilities, as a result of our partnership with Sneak, which we announced last week. You can learn more about that partnership from Peter McKay, CEO Sneak, again later today, right here at DockerCon. A third example, development team can automate the build of container images upon a simple get push, as a result of Docker hub integrations with GitHub and Alaska and Bitbucket. As a final example of Docker and the ecosystem helping teams quickly build applications, together with our ISV partners. We offer in Docker hub over 500 official and verified publisher images of ready to run Dockerized application components such as databases, load balancers, programming languages, and much more. Of course, none of this happens without people. And I would like to take a moment to thank four groups of people in particular. First, the Docker team, past and present. We've had a challenging 12 months including a restructuring and then a global pandemic, and yet their support for each other, and their passion for the product, this community and our customers has never been stronger. We think our community, Docker wouldn't be Docker without you, and whether you're one of the 50 Docker captains, they're almost 400 meetup organizers, the thousands of contributors and maintainers. Every day you show up, you give back, you teach new support. We thank our users, more than six and a half million developers who have built more than 7 million applications and are then sharing those applications through Docker hub at a rate of more than one and a half billion poles per week. Those apps are then run, are more than 44 million Docker engines. And finally, we thank our customers, the over 18,000 docker subscribers, both individual developers and development teams from startups to large organizations, 60% of which are outside the United States. And they spend every industry vertical, from media, to entertainment to manufacturing. healthcare and much more. Thank you. Now looking forward, given these unprecedented times, we would like to offer a challenge. While it would be easy to feel helpless and miss this global pandemic, the challenge is for us as individuals and as a community to instead see and grasp the tremendous opportunities before us to be forces for good. For starters, look no further than the pandemic itself, in the fight against this global disaster, applications and data are playing a critical role, and the Docker Community quickly recognize this and rose to the challenge. There are over 600 COVID-19 related publicly available projects on Docker hub today, from data processing to genome analytics to data visualization folding at home. The distributed computing project for simulating protein dynamics, is also available on Docker hub, and it uses spirit compute capacity to analyze COVID-19 proteins to aid in the design of new therapies. And right here at DockerCon, you can hear how Clemente Biondo and his company engineering in Gagne area Informatica are using Docker in the fight with COVID-19 in Italy every day. Now, in addition to fighting the pandemic directly, as a community, we also have an opportunity to bridge the disruption the pandemic is wreaking. It's impacting us at work and at home in every country around the world and every aspect of our lives. For example, many of you have a student at home, whose world is going to be very different when they returned to school. As employees, all of us have experienced the stresses from working from home as well as many of the benefits and in fact 75% of us say that going forward, we're going to continue to work from home at least occasionally. And of course one of the biggest disruptions has been job losses, over 35 million in the United States alone. And we know that's affected many of you. And yet your skills are in such demand and so important now more than ever. And that's why here at DockerCon, we want to try to do our part to help, and we're promoting this hashtag on Twitter, hashtag DockerCon jobs, where job seekers and those offering jobs can reach out to one another and connect. Now, pandemics disruption is accelerating the shift of more and more of our time, our priorities, our dollars from offline to online to hybrid, and even online only ways of living. We need to find new ways to collaborate, new approaches to engage customers, new modes for education and much more. And what is going to fill the needs created by this acceleration from offline, online? New applications. And it's this need, this demand for all these new applications that represents a great opportunity for the Docker community of developers. The world needs us, needs you developers now more than ever. So let's seize this moment. Let us in our teams, go build share and run great new applications. Thank you for joining today. And let's have a great DockerCon. >> Okay, welcome back to the DockerCon studio headquarters in your hosts, Jenny Burcio and myself John Furrier. u@farrier on Twitter. If you want to tweet me anything @DockerCon as well, share what you're thinking. Great keynote there from Scott CEO. Jenny, demo DockerCon jobs, some highlights there from Scott. Yeah, I love the intro. It's okay I'm about to do the keynote. The little green room comes on, makes it human. We're all trying to survive-- >> Let me answer the reality of what we are all doing with right now. I had to ask my kids to leave though or they would crash the whole stream but yes, we have a great community, a large community gather gathered here today, and we do want to take the opportunity for those that are looking for jobs, are hiring, to share with the hashtag DockerCon jobs. In addition, we want to support direct health care workers, and Bret Fisher and the captains will be running a all day charity stream on the captain's channel. Go there and you'll get the link to donate to directrelief.org which is a California based nonprofit, delivering and aid and supporting health care workers globally response to the COVID-19 crisis. >> Okay, if you jumping into the stream, I'm John Farrie with Jenny Webby, your hosts all day today throughout DockerCon. It's a packed house of great content. You have a main stream, theCUBE which is the mainstream that we'll be promoting a lot of cube interviews. But check out the 40 plus sessions underneath in the interactive calendar on dockercon.com site. Check it out, they're going to be live on a clock. So if you want to participate in real time in the chat, jump into your session on the track of your choice and participate with the folks in there chatting. If you miss it, it's going to go right on demand right after sort of all content will be immediately be available. So make sure you check it out. Docker selfie is a hashtag. Take a selfie, share it. Docker hashtag Docker jobs. If you're looking for a job or have openings, please share with the community and of course give us feedback on what you can do. We got James Governor, the keynote coming up next. He's with Red monk. Not afraid to share his opinion on open source on what companies should be doing, and also the evolution of this Cambrin explosion of apps that are going to be coming as we come out of this post pandemic world. A lot of people are thinking about this, the crisis and following through. So stay with us for more and more coverage. Jenny, favorite sessions on your mind for people to pay attention to that they should (murmurs)? >> I just want to address a few things that continue to come up in the chat sessions, especially breakout sessions after they play live and the speakers in chat with you, those go on demand, they are recorded, you will be able to access them. Also, if the screen is too small, there is the button to expand full screen, and different quality levels for the video that you can choose on your end. All the breakout sessions also have closed captioning, so please if you would like to read along, turn that on so you can, stay with the sessions. We have some great sessions, kicking off right at 10:00 a.m, getting started with Docker. We have a full track really in the how to enhance on that you should check out devs in action, hear what other people are doing and then of course our sponsors are delivering great content to you all day long. >> Tons of content. It's all available. They'll always be up always on at large scale. Thanks for watching. Now we got James Governor, the keynote. He's with Red Monk, the analyst firm and has been tracking open source for many generations. He's been doing amazing work. Watch his great keynote. I'm going to be interviewing him live right after. So stay with us and enjoy the rest of the day. We'll see you back shortly. (upbeat music) >> Hi, I'm James Governor, one of the co-founders of a company called RedMonk. We're an industry research firm focusing on developer led technology adoption. So that's I guess why Docker invited me to DockerCon 2020 to talk about some trends that we're seeing in the world of work and software development. So Monk Chips, that's who I am. I spent a lot of time on Twitter. It's a great research tool. It's a great way to find out what's going on with keep track of, as I say, there's people that we value so highly software developers, engineers and practitioners. So when I started talking to Docker about this event and it was pre Rhona, should we say, the idea of a crowd wasn't a scary thing, but today you see something like this, it makes you feel uncomfortable. This is not a place that I want to be. I'm pretty sure it's a place you don't want to be. And you know, to that end, I think it's interesting quote by Ellen Powell, she says, "Work from home is now just work" And we're going to see more and more of that. Organizations aren't feeling the same way they did about work before. Who all these people? Who is my cLancaern? So GitHub says has 50 million developers right on its network. Now, one of the things I think is most interesting, it's not that it has 50 million developers. Perhaps that's a proxy for number of developers worldwide. But quite frankly, a lot of those accounts, there's all kinds of people there. They're just Selena's. There are data engineers, there are data scientists, there are product managers, there were tech marketers. It's a big, big community and it goes way beyond just software developers itself. Frankly for me, I'd probably be saying there's more like 20 to 25 million developers worldwide, but GitHub knows a lot about the world of code. So what else do they know? One of the things they know is that world of code software and opensource, is becoming increasingly global. I get so excited about this stuff. The idea that there are these different software communities around the planet where we're seeing massive expansions in terms of things like open source. Great example is Nigeria. So Nigeria more than 200 million people, right? The energy there in terms of events, in terms of learning, in terms of teaching, in terms of the desire to code, the desire to launch businesses, desire to be part of a global software community is just so exciting. And you know, these, this sort of energy is not just in Nigeria, it's in other countries in Africa, it's happening in Egypt. It's happening around the world. This energy is something that's super interesting to me. We need to think about that. We've got global that we need to solve. And software is going to be a big part of that. At the moment, we can talk about other countries, but what about frankly the gender gap, the gender issue that, you know, from 1984 onwards, the number of women taking computer science degrees began to, not track but to create in comparison to what men were doing. The tech industry is way too male focused, there are men that are dominant, it's not welcoming, we haven't found ways to have those pathways and frankly to drive inclusion. And the women I know in tech, have to deal with the massively disproportionate amount of stress and things like online networks. But talking about online networks and talking about a better way of living, I was really excited by get up satellite recently, was a fantastic demo by Alison McMillan and she did a demo of a code spaces. So code spaces is Microsoft online ID, new platform that they've built. And online IDs, we're never quite sure, you know, plenty of people still out there just using the max. But, visual studio code has been a big success. And so this idea of moving to one online IDE, it's been around that for awhile. What they did was just make really tight integration. So you're in your GitHub repo and just be able to create a development environment with effectively one click, getting rid of all of the act shaving, making it super easy. And what I loved was it the demo, what Ali's like, yeah cause this is great. One of my kids are having a nap, I can just start (murmurs) and I don't have to sort out all the rest of it. And to me that was amazing. It was like productivity as inclusion. I'm here was a senior director at GitHub. They're doing this amazing work and then making this clear statement about being a parent. And I think that was fantastic. Because that's what, to me, importantly just working from home, which has been so challenging for so many of us, began to open up new possibilities, and frankly exciting possibilities. So Alley's also got a podcast parent-driven development, which I think is super important. Because this is about men and women rule in this together show parenting is a team sport, same as software development. And the idea that we should be thinking about, how to be more productive, is super important to me. So I want to talk a bit about developer culture and how it led to social media. Because you know, your social media, we're in this ad bomb stage now. It's TikTok, it's like exercise, people doing incredible back flips and stuff like that. Doing a bunch of dancing. We've had the world of sharing cat gifts, Facebook, we sort of see social media is I think a phenomenon in its own right. Whereas the me, I think it's interesting because it's its progenitors, where did it come from? So here's (murmurs) So 1971, one of the features in the emergency management information system, that he built, which it's topical, it was for medical tracking medical information as well, medical emergencies, included a bulletin board system. So that it could keep track of what people were doing on a team and make sure that they were collaborating effectively, boom! That was the start of something big, obviously. Another day I think is worth looking at 1983, Sorania Pullman, spanning tree protocol. So at DEC, they were very good at distributed systems. And the idea was that you can have a distributed system and so much of the internet working that we do today was based on radius work. And then it showed that basically, you could span out a huge network so that everyone could collaborate. That is incredibly exciting in terms of the trends, that I'm talking about. So then let's look at 1988, you've got IRC. IRC what developer has not used IRC, right. Well, I guess maybe some of the other ones might not have. But I don't know if we're post IRC yet, but (murmurs) at a finished university, really nailed it with IRC as a platform that people could communicate effectively with. And then we go into like 1991. So we've had IRC, we've had finished universities, doing a lot of really fantastic work about collaboration. And I don't think it was necessarily an accident that this is where the line is twofold, announced Linux. So Linux was a wonderfully packaged, idea in terms of we're going to take this Unix thing. And when I say package, what a package was the idea that we could collaborate on software. So, it may have just been the work of one person, but clearly what made it important, made it interesting, was finding a social networking pattern, for software development so that everybody could work on something at scale. That was really, I think, fundamental and foundational. Now I think it's important, We're going to talk about Linus, to talk about some things that are not good about software culture, not good about open source culture, not good about hacker culture. And that's where I'm going to talk about code of conduct. We have not been welcoming to new people. We got the acronyms, JFTI, We call people news, that's super unhelpful. We've got to find ways to be more welcoming and more self-sustaining in our communities, because otherwise communities will fail. And I'd like to thank everyone that has a code of conduct and has encouraged others to have codes of conduct. We need to have codes of conduct that are enforced to ensure that we have better diversity at our events. And that's what women, underrepresented minorities, all different kinds of people need to be well looked off to and be in safe and inclusive spaces. And that's the online events. But of course it's also for all of our activities offline. So Linus, as I say, I'm not the most charming of characters at all time, but he has done some amazing technology. So we got to like 2005 the creation of GIT. Not necessarily the distributed version control system that would win. But there was some interesting principles there, and they'd come out of the work that he had done in terms of trying to build and sustain the Linux code base. So it was very much based on experience. He had an itch that he needed to scratch and there was a community that was this building, this thing. So what was going to be the option, came up with Git foundational to another huge wave of social change, frankly get to logical awesome. April 20 April, 2008 GitHub, right? GiHub comes up, they've looked at Git, they've packaged it up, they found a way to make it consumable so the teams could use it and really begin to take advantage of the power of that distributed version control model. Now, ironically enough, of course they centralized the service in doing so. So we have a single point of failure on GitHub. But on the other hand, the notion of the poll request, the primitives that they established and made usable by people, that changed everything in terms of software development. I think another one that I'd really like to look at is Slack. So Slack is a huge success used by all different kinds of businesses. But it began specifically as a pivot from a company called Glitch. It was a game company and they still wanted, a tool internally that was better than IRC. So they built out something that later became Slack. So Slack 2014, is established as a company and basically it was this Slack fit software engineering. The focus on automation, the conversational aspects, the asynchronous aspects. It really pulled things together in a way that was interesting to software developers. And I think we've seen this pattern in the world, frankly, of the last few years. Software developers are influences. So Slack first used by the engineering teams, later used by everybody. And arguably you could say the same thing actually happened with Apple. Apple was mainstreamed by developers adopting that platform. Get to 2013, boom again, Solomon Hikes, Docker, right? So Docker was, I mean containers were not new, they were just super hard to use. People found it difficult technology, it was Easter Terek. It wasn't something that they could fully understand. Solomon did an incredible job of understanding how containers could fit into modern developer workflows. So if we think about immutable images, if we think about the ability to have everything required in the package where you are, it really tied into what people were trying to do with CICD, tied into microservices. And certainly the notion of sort of display usability Docker nailed that, and I guess from this conference, at least the rest is history. So I want to talk a little bit about, scratching the itch. And particularly what has become, I call it the developer authentic. So let's go into dark mode now. I've talked about developers laying out these foundations and frameworks that, the mainstream, frankly now my son, he's 14, he (murmurs) at me if I don't have dark mode on in an application. And it's this notion that developers, they have an aesthetic, it does get adopted I mean it's quite often jokey. One of the things we've seen in the really successful platforms like GitHub, Docker, NPM, let's look at GitHub. Let's look at over that Playfulness. I think was really interesting. And that changes the world of work, right? So we've got the world of work which can be buttoned up, which can be somewhat tight. I think both of those companies were really influential, in thinking that software development, which is a profession, it's also something that can and is fun. And I think about how can we make it more fun? How can we develop better applications together? Takes me to, if we think about Docker talking about build, share and run, for me the key word is share, because development has to be a team sport. It needs to be sharing. It needs to be kind and it needs to bring together people to do more effective work. Because that's what it's all about, doing effective work. If you think about zoom, it's a proxy for collaboration in terms of its value. So we've got all of these airlines and frankly, add up that their share that add up their total value. It's currently less than Zoom. So video conferencing has become so much of how we live now on a consumer basis. But certainly from a business to business perspective. I want to talk about how we live now. I want to think about like, what will come out all of this traumatic and it is incredibly traumatic time? I'd like to say I'm very privileged. I can work from home. So thank you to all the frontline workers that are out there that they're not in that position. But overall what I'm really thinking about, there's some things that will come out of this that will benefit us as a culture. Looking at cities like Paris, Milan, London, New York, putting a new cycling infrastructure, so that people can social distance and travel outside because they don't feel comfortable on public transport. I think sort of amazing widening pavements or we can't do that. All these cities have done it literally overnight. This sort of changes is exciting. And what does come off that like, oh there are some positive aspects of the current issues that we face. So I've got a conference or I've got a community that may and some of those, I've been working on. So Katie from HashiCorp and Carla from container solutions basically about, look, what will the world look like in developer relations? Can we have developer relations without the air miles? 'Cause developer advocates, they do too much travel ends up, you know, burning them out, develop relations. People don't like to say no. They may have bosses that say, you know, I was like, Oh that corporates went great. Now we're going to roll it out worldwide to 47 cities. That's stuff is terrible. It's terrible from a personal perspective, it's really terrible from an environmental perspective. We need to travel less. Virtual events are crushing it. Microsoft just at build, right? Normally that'd be just over 10,000 people, they had 245,000 plus registrations. 40,000 of them in the last day, right? Red Hat summit, 80,000 people, IBM think 90,000 people, GitHub Crushed it as well. Like this is a more inclusive way people can dip in. They can be from all around the world. I mentioned Nigeria and how fantastic it is. Very often Nigerian developers and advocates find it hard to get visas. Why should they be shut out of events? Events are going to start to become remote first because frankly, look at it, if you're turning in those kinds of numbers, and Microsoft was already doing great online events, but they absolutely nailed it. They're going to have to ask some serious questions about why everybody should get back on a plane again. So if you're going to do remote, you've got to be intentional about it. It's one thing I've learned some exciting about GitLab. GitLab's culture is amazing. Everything is documented, everything is public, everything is transparent. Think that really clear and if you look at their principles, everything, you can't have implicit collaboration models. Everything needs to be documented and explicit, so that anyone can work anywhere and they can still be part of the team. Remote first is where we're at now, Coinbase, Shopify, even Barkley says the not going to go back to having everybody in offices in the way they used to. This is a fundamental shift. And I think it's got significant implications for all industries, but definitely for software development. Here's the thing, the last 20 years were about distributed computing, microservices, the cloud, we've got pretty good at that. The next 20 years will be about distributed work. We can't have everybody living in San Francisco and London and Berlin. The talent is distributed, the talent is elsewhere. So how are we going to build tools? Who is going to scratch that itch to build tools to make them more effective? Who's building the next generation of apps, you are, thanks.

>> Announcer: From around the globe, it's theCUBE with digital coverage of DockerCon Live 2020. Brought to you by Docker and its ecosystem partners. >> Okay Jenny, great to see you again. >> Good to see you. >> James Governor, nail on the Keynote there. Chat was phenomenal. That was pre-recorded but James is also in the chat stream. A lot of good conversations. That hit home for me that keynote. One, because memory lane was going down right into the 80s when it was a revolution. And we got him in the green room here. James Governor, welcome. >> James is here, hi James. >> Here we go. >> Fresh off the keynote. >> It's always a revolution. (John laughs) >> Well, in the 80s, I used to love your talk. A couple of key points I want to share and get your thoughts on was just to some highlights for the crowd is one, you walk through. Some of the key inflection points that I think were instrumental and probably some other ones depending on your perspective of where you were in the industry at that time. Whether you were a systems programmer or a networking guy, there was a proprietary world and it was a revolution back then. And UNIX was owned by AT&T if no one remembers. You couldn't even use the word. You had to trade market. So we actually had to call it XINU which is UNIX spelled backwards in all the text and whatnot. And even open source software freeware was kind of illegal. MIT did some work, Northeastern and Berkeley and other schools. It was radical back then so-- >> Yeah, we've come a long way for sure. I think that for me that was one of the things that I wanted to really point to in the keynote was that yes we have definitely come a long way and development culture is about open culture. >> I think the thing that I like to point out especially hate to sound like I'm old but I am. But I lived through that and the younger generation coming and have all these new tools. And I got to say not that I walked through to school in the snow with no shoes on but it's a pretty cool developer environment now. But remember things were proprietary back then. If you start to see the tea leaves now, I look at the world, you see these silos. You see silos that's kind of, they're not nestle proprietary but they might necessarily be open. So you kind of have a glimpse of open source on these projects and these companies. Whether they're tech companies, it feels open but it might not be. It could be walled garden. It could be data being hoarded. So as data opens up, this is interesting to me because I want to get your thoughts on this because in a way it feels proprietary but technically it's not proprietary. What's your thoughts on this? Because this is going to be the next 20 years of evolution. What's your thoughts? >> I think the productivity wins. Whoever packages technology in a way that makes it most productive for people. That's what wins. And open source, what's productive. It is very accessible. It enabled new waves. Get installed and you've got a package from... You got access to just a world of open-source. A world of software that was a big revolution. And I guess the cloud sort of came next and I think that's been one of the big shifts. You talk about proprietary. What matters is how easy you make things to people to do their work. And in that regard, obviously Amazon is in fact a bigger distribution network. Makes technology super consumable by so many people. I guess I would say that open is good and important but it's not the only thing. As you say, data is a lock-in and it's right and people are choosing services that make them productive. Nobody worries about whether Amazon Lambda is proprietary. They just know that they can build companies or businesses or business processes on it. >> You know it's interesting back in the day just to kind of segue with the next topic. We were fighting proprietary operating systems, UNIX and others. We're also fighting for proprietary Network protocol stacks. SNA was owned by IBM. DECnet was digital, the number one network. And then TCP/IP and OpenSan's interconnect came out. That's the OSI model for us old ones. That set the table. That changed the face of everything. It really enabled a lot. So when I see containers, what Docker did early on the pioneering phases of Docker containers, it unleashed a new reality of coolness and scale and capabilities. And then in comes Kubernetes and in comes micro services. So this path is showing some real strength for new kinds of capabilities. So how does a developer navigate all this because data lock-in does it a data plane seems to be a control point. What are we fighting now in your opinion? shouldn't say we're fighting but what are we trying to avoid if operating systems was for closing opportunities and network protocol stacks before closing in the past? What do you see as barriers that need to be broken down in the open source world around going down this great path of micro services, decomposed applications, highly cohesive architectures? >> Honestly there's enough work to be getting on with without like fighting someone in that regard. I mean we're fighting against technical debt. I just don't think that people are serrated about fighting against proprietary anymore. I think that's less than a concern. Open-source technology is great. It's how most work gets done in our industry today. So you mentioned Kubernetes and certainly Docker. Though we did a phenomenal job of packaging up and experience that map to see CICD. That map to the developer workplace people like do. Phenomenal job and I think that for me at least when I look at where we are as an industry, it's all about productivity. So there are plenty of interesting new platforms. I think in my keynote, that's my question. I'm less interested in microservices than I am in distributed work. I'm interested in one of the tools that are going to enable us to become more productive, solve more problems, build more applications and get better at building software. So I think that's my sort of focus. There will always be lock-in. And I think you will also have technologies mitigate against that. I mean clear messages today from Docker about supporting multiple clouds. For a while at least multiclouds seem like something only the kind waivers were interested in but increasingly we're seeing organizations where that is definitely part of how they're using the cloud. And again I think very often it's within specific areas. And so we see organizations that are using particular clouds for different things. And we'll see more of that. >> And the productivity. I love the passion, love that in the keynote. That was loud and clear. Two key points I want to get your reaction on that. You mentioned one was inclusion. Including more people, not seeing news. It's kind of imperative. And also virtual work environments, virtual events. You kind of made a highlight there. So again people are distributed remote first. It's an opportunity to be productive. Can you share your thoughts on those two points? One is, as we're distributed, that's going to open the aperture of more engagement. More people coming in. So code of conduct not as a file you must read or some rule. Culturally embracing a code of conduct. And then also, virtual events, virtual groups convening like we're doing here. >> Yeah I mean for me at least Allison McMillan from github and she just gave such a great demo at the recent sunlight event where she finished and she was like, it was all about, I want to be able to put the kids to bed for a nap and then go code. And I think that's sort of thinking people band around the phrase ruling this together but I mean certainly parenting is a team sport. But I think it's interesting we're not welcome. It was interesting that was looking at the chat, going through, I was being accused of being woke. I was being accused of being a social justice warrior. But look at the math. The graph is pretty clear. Women are not welcomed in tech. And that means we're wasting 50% of available resource to us. And we're treating people like shit. So I thought I underplayed that in the talk actually. Something like, "Oh, why is he complaining about Linus?" Well, the fact is that Linus himself admitted he needed to change his persona in order to just be more modern and welcoming in terms of building software and building communities. So look we've got people from around the world. Different cultural norms. All of the women I know who work in tech suffer so much from effectively daily harassment. Their bonafides are challenged. These are things that we need to change because women are brilliant. I'm not letting you signaling or maybe I am. The fact is that women are amazing at software and we do a terrible job of supporting them. So women of other nationalities, we're not going to be traveling as much. I think you can also grow. No we can't keep flying around as much. Make an industry where single parents can participate more effectively. Where we could take advantage of that. There're 200 million people in Nigeria. That hunger to engage. We won't even give them a visa and then we may not be treating them right. I just think we need an industry reset. I think from a we need to travel less. We need to do better work. And we need to be more welcoming in order that that could be the case. >> Yeah, there's no doubt a reset is here and you look at the COVID crisis is forcing that function there because one, people are resetting and reinventing and trying to figure out a growth strategy. Whether it's a business or teams. And what's interesting is new roles and new responsibilities is going to emerge and I think you're right about the women in tech. I completely agree and have evidence myself and reported on it ad nauseam. But the thing is data trumps opinion. And the data is clear on this issue. So if anyone will call you a social justice warrior I just say pound sand and tell them that go on their way. And just look at the data and clear. And also the field is getting wider. When I was in computer science major back in the day, it was male-dominated yes but it was very narrow. Wasn't as broad as it is now. You can do things so much more and in fact in Kelsey Hightower's talk, he talks to persona developers. The ones that love to learn and ones that don't want to learn anything. Just want to code and do their thing. And ones that care about just app development and ones that just want to get in and sling k-8 around like it's nobody's business or work with APIs, work with infrastructure. Some just want to write code. So there's more and more surface area in computer science and coding. Or not even computer science, it's just coding, developing. >> Well, I mean it's a bigger industry. We've got clearly all sorts of challenges that need to be solved. And the services that we've got available are incredible. I mean if you look at the work of companies like Netlify in terms of developer experience. You look at the emergence of JamStack and the productivity that we're seeing there, it's a really exciting time in the industry. >> No doubt about that. >> And as I say I mean it's an exciting time. It's a scary time. But I think that we're moving to a world of more distributed work. And that's my point about open source and working on code bases from different places and what the CapCloud can enable. We can work in a different way and we don't all need to be in San Francisco, London, or Berlin as I said in the Keynote. >> I love the vision there and the passion. I totally agree with it. I think that's a whole another distributed paradigm that's going to move up the stack if you will and software. I think it's going to be codified in cloud native and cloud scale creates new services. I mean it's the virtual world. You mentioned virtual events. Groups convening like the 67,000 people coming together virtually here at DockerCon. Large, small one-on-ones group dynamics are a piece of it. So share your thoughts on virtual events and certainly it's people are now just kicking the tires, learning. You do a zoom, you do a livestream. You do some chat. It's going to evolve and I think it's going to look more like a CICD pipeline and anything else. As you start to bring media together, we get 43 sessions here. Why not make it a hundred sessions? So I think this is going to be one of those learning environments where it's not linear, it's different. What's your vision of all this if you had to give advice for the folks out there? Not event plans, with people who want to gather groups and be productive. What's your thinking on this? >> Well, it sort of has to happen. I mean there are a lot of people doing good work in this regard. Patrick Dubois, founder of DevOps days. He's doing some brilliant work delineating. Just what are all the different platforms? What does the streaming platform look like that you can use? Obviously you've got one here with theCUBE. Yeah, I mean I think the numbers are pretty clear. I mean Microsoft Build had 245,000 registered attendees and I think something that might have been to begin. The patterns are slightly different. It's not like they're going to be there the whole time but the opportunity to meet people where they are, I think is something that we shouldn't ignore. Particularly in a world not everyone again has the privilege of being able to travel. You're in a different country or as I say perhaps your life circumstances mean you can't travel. From an accessibility perspective, clearly virtual events offer an opportunity that we haven't fully nailed. I think Microsoft performance in this regard has been super interesting. They were already moving that way and Kobe just slammed it up to another level. What they did with Build recently was actually, I mean they're a media company, right? But certainly developed a focused media company. So I think you'll be okay. You're about the business of software John. Don't worry Microsoft don't give you some space there. (John and James laughing) We're under the radar at theCUBE 365 for the folks who are watching this. This is our site that we built with our software. So we're open and Docker was instrumental and I think the Docker captains were also very instrumental and trying to help us figure out the best way to preserve the content value. I personally think we're in this early stage of, content and community are clearly go hand in hand and I think as you look at the chat, some of the names that are on there. Some of the comments, really there's a new flywheel of production and this to me is the ultimate collaboration when you have these distinct groups coming together. And I think it's going to just be a data dream where people aren't the product, they're actually a contributor. And I think this open source framework that you're talking about is going to be certainly just going to evolve rapidly. I think it's just not even scratching the surface. I just think this is going to be pretty massive. And services whatever you want to define that. It could be an API to anything. It's going to be essentially the scale point. I mean why have a monolith piece of software running something. Something Microsoft teams will work well here. Zoom will work well there but ultimately what's in it for me the person? This is the key question. Developers just want to develop. You're going to hear that throughout the day. Kelsey Hightower brings up some great points in his session and Amanda silver at Microsoft, she had a quote on one of her videos. She said, "App developers are the first responders "in this crisis." And that's the first time I've heard someone say that out loud and that hits home for me because it's true. And right now app developers are one of the front lines. They're providing the app support. They're providing to the practitioners in the field. This is something that's not really written about in the press. What's your reaction to app developers are the first responders in this crisis. >> Well I mean first I think it's important to pay tribute to people that actually are first responders. Writing code can make us responsive but let's not forget there are people that are lacking PPE and they are on the frontline. So not precise manner but I might frame it slightly differently. But certainly what the current situation has shown us is productivity is super important. Target has made huge investments in building out its own software development capabilities. So they used to be like 70% external 30% internal and they turn that round to like 80% internal 20 external. And they've been turning on a dime and well there's so much going on at the moment. I'm like talking about target then I'm remembering what's happening in Minneapolis today. But anyway we'll talk about that. But yeah organizations are responding quickly. Look at the numbers that Shopify is happening because all sorts of business is something like we need to be an online business. What's the quickest way to do that. And Shopify was able to package something up in a way that they they could respond to challenges. Huge social challenges. I'm a big believer the future's unwritten at this point and I think there's a lot of problems out there you point out and the first responders are there I agree. I'm just thinking that there's got to be a better path for all of us. And this brings up the whole new roles and responsibilities around this new environment and I know you're doing a lot of research. Can you share some thoughts on what you're kind of working on now James? That's important, I'll see what's trending here at DockerCon is. Compose the relationship with Microsoft, we've got security, Dockers now, multicloud approach, making it easier, that's their bread and butter. That's what they're known for. They kind of going back to that roots of why they pioneered in the first place. So as that continues ease-of-use, what's your focus area right now that you're researching that you could share with the audience? >> Well, I mean I'd say this year for me I've got probably three key areas. One is what's called GitOps. So it's the notion that you're using Git as a system of record. So that started off randomly making changes, you have an audit trail. You begin to have some sort of sense of compliance in software changes. I think the idea of everything has to be by a sort of a pull request. That automation model is super thing to me. So I've been looking at that. A lot of development teams are using those approaches. Observability is a huge trend. We're moving to the idea of testing and production. The kind of stuff that's been evangelized so successfully by charity majors honeycomb. It's super exciting to me and it's true because in effect, you're always testing in production, your dev environment. I mean we used to have this idea that you'd have a Dev and a Dev stage. You're have a staging environment. The only environment that really matters is where the rubber meets the road. And that is deployment. So I think that having having better tools for that is one of the areas I'm looking at. So how are tools innovating that area? And it won't be the thing that this is my own personal thing. I've been talking about progressive delivery which is asking a question about reducing risk by really understanding the blast radius of the service to be able to roll it out to specific use of populations first. Understanding who they are and enrolling it up so it's the idea that like maybe you brought something out to your employees first. Maybe you are in California and you roll something out in Tokyo knowing that not many people are using that service. It is a live environment but people are not going to be adversely affected if it happens. So Canary's Blue-Green deployments and also experimentation. This is sort of one of the areas I'm being sort of pulled towards. It's sort of product management and how that's really converging with software development. I feel like that's one of the things I haven't fully, I mean I think it's when they have research focused but you have to respond to new information. Anyhow, I'm spending a lot of time thinking about the world of product management. It's those companies to be most respect in terms of companies that are crushing it in the digital economy. They have such a strong product management focused. Everything is driven by product managers that understand technology and that's an exciting shift. The one that I'm paying greater attention. >> You do some great work and I love the focus on productivity software development. Getting those app developers out there and it's interesting. I just think that it's such an exciting time. It's almost intoxicating. Some people drinking on Twitter online and having beers because they're in different time zone. But if you look up and down the action that's going on, you got at the application developers side, all the things you were mentioning services. But when you look at the cloud side, you got almost this operating system reset. It's a systems architecture. So you have the hall and that's up and down. The middle of the stack to the bottom, you have this operating systems thinking and evolution. And then you got at the top, the pure software developers. And this is again to me the big aha moment. For the industry there's a true opportunity to scale that in unbelievable ways. And you don't have to pick a side. You can do a top of the stack bottom stack. So I think kubernetes and micro services really bring this whole enablement piece to the table. And that fascinates me and I think that's going to change what the apps will look like. It'll give more productivity and then making the internet programmable unit, that's new systems. So that seems to be the trend. You're a systems guy, your girl or you're a developer. How do you see that evolving? Do you get to that level? >> Developer experience is not necessarily the key value of Kubernetes. It's supremely flexible sort of system. It does offer you that portability. But I think what I'm seeing now is how people are taking Kubernetes and kind of thinking, so you've got VMware, acquires Heptio, brings Pivotal into the fold, starting about what that platform looks like. I think Pivotal with cloud foundry did a great job of thinking through operator experience. Operator experience is not the same as developer experience. I think we're going to see a bit more specialization of roles. Meanwhile at that point, you've got the cloud players all doing pretty awesome job supporting Kubernetes. But it gives that portability promise. So I think for me, one of the things is not expecting everyone to do everything. It's like Kelsey said, some people just want to come into work and do their job and they're super important. And so VMware I think a history of certification of application environments. So of them it's sort of quite--and certification of humans. It's quite natural that they would be somebody that would think about how do we make Kurbenetes more consumable and packaged in a way that more people take advantage of it. Docker was such a phenomenon and now seeing how that sort of evolving into that promise of portability is beginning to be realized. So I think the specialization, the pendulum is going to swing back just a little bit. >> I think it's just great timing and congratulations on all the work and thanks for taking the time for participating in DockerCon with the Keynote. Taking time out of your day and coming in and doing this live interview. The chat looks good. Hit some great, get some fans in there. It's a great opportunity and I think Docker as the pioneers, pivoting in a new direction, it's all about developer productivity and James you've been on it. @monkchips is his Twitter handle, follow him, hit him up. I'm John Furrier here in the studio for DockerCon 2020. Ginebra CEO and you got Brett Fisher on the captain's channel. If you go to the site, you'll see the calendar. Jump into any session you want. They'll be live on the time or on-demand instantly. TheCUBE track has a series of enemies. You've got Amazon, we got Microsoft, get some great guests, great practitioners that are literally having an impact on society. So thanks for watching. James, thanks for spending the time. >> Thank you very much John. >> Okay James Governor, founder of Monkchips, great firm, great person-- >> RedMonk, RedMonk is the company. Monkchips is the Twitter. >> Redmonk, Monkchips. RedMonk, RedMonk. >> RedMonk is the company. >> RedMonk, RedMonk. >> @monkchips is his Twitter handle and RedMonk is the firm, thank you for the correction. Okay more coverage DockerCon after this short break. Stay with us. The next segment is coming up. Stay with us here at theCUBE DockerCon. (gentle music)

our Studios in the heart of Silicon Valley Palo Alto California this is a cute conversation hey welcome back they're ready Jeff Rick here with the cube we're in our Palo Alto studios today to have a conversation with a really exciting company they've actually been around for a while but they've raised a ton of money and they're doing some really important work in the world in which we live today which is a lot different than the world was when they started in 2010 so we're excited to welcome to the studio he's been here on before Mohit ladee is the CEO and co-founder of Thousand Eyes mode great to see you great to see you as well as pretty to be here yeah welcome back but for people that didn't see the last video or not that familiar with Thousand Eyes tell them a little bit kind of would a thousand eyes all about absolutely so in today's world the cloud is your new data center the Internet is your new network and SAS is your new application stack and thousand eyes is built to be the the only thing that can really help you see across all three of these like it's your own private environment I love that I love that kind of setup and framing because those are the big three things and as you said all those things have moved from inside your control to outside of your control so in 2010 is that was that division I mean when you guys started the company UCLA I guess a while ago now what was that the trend what did you see what yes what kind of started it so it's really interesting right so our background as a founding company with two founders we did our PhD at UCLA in computer science and focused on internet and we were fascinated by the internet because it was just this complex system that nobody understood but we knew even then that it would meaningfully change our lives not just as consumers but even as enterprise companies so we had this belief that it's going to be the backbone of the modern enterprise and nobody quite understood how it worked because everyone was focused on your own data center your own network and so our entire vision at that point was we want people to feel the power of seeing the internet like your network that's sort of where we started and then as we started to expand on that vision it was clear to us that the Internet is what brings companies together what brings the cloud closer to the enterprise what brings the SAS applications closer to the enterprise right so we expanded into into cloud and SAS as well so when you had that vision you know people had remote offices and they would set up they would you know set up tunnels and peer-to-peer and all kinds of stuff why did you think that it was gonna go to that next step in terms of the internet you know just kind of the public Internet being that core infrastructure yes we were at the at the very early stages of this journey to cloud right and at the same time you had companies like Salesforce you had office 365 they were starting to just make it so much easier for companies to deploy a CRM you don't have to stand up these massive servers anymore its cloud-based so it was clear to us that that was gonna be the new stack and we knew that you had to build a fundamentally different technology to be able to operate in that stack and it's not just about visibility it's about making use of collective information as well because you're going from a private environment with your own data center your own private network your own application stack to something that's sitting in the cloud which is a shared environment going over the Internet which is the same network that carries cat videos that your kids watch it's carrying production traffic now for your core applications and so you need a different technology stack and you need to really sort of benefit from this notion of collective intelligence of knowing what everybody sees together as one view so I'm here I think I think Salesforce was such an important company in terms of getting enterprises to trust a SAS application for really core function which just sales right I think that was a significant moment in moving the dial was there a killer app for you guys that was you know for your customers the one where they finally said wait you know we need a different level of his ability to something that we rely on that's coming to us through an outside service so it's interesting right when we started the company we had a lot of advisors that said hey your position should be you're gonna help enterprises enforce SLA with Salesforce and we actually took a different position because what we realized was Salesforce did all the right stuff on their data centers but the internet could mess things up or enterprise companies that were not ready to move to cloud didn't have the right architectures would have some bottlenecks in their own environment because they are backhauling traffic from their London office to New York and then exiting from New York they're going back to London so all this stuff right so we took the position of really presenting thousand eyes as a way to get transparency into this ecosystem and we we believe that if we take this position if we want to help both sides not just the enterprise companies we want to help sales force we want to have enterprise companies and just really present it as a means of finding a common truth of what is actually going on it works so much better right so there wasn't really sort of one killer application but we found that anything that was real-time so if you think about video based applications or any sort of real-time communications based so the web access of the world they were just very sensitive to network conditions and internet conditions same with things that are moving a lot of data back and forth so these applications like Salesforce office 365 WebEx they just are demanding applications on the infrastructure and even if they're done great if the infrastructure doesn't it doesn't give you a great experience right and and and you guys made a really interesting insight too it's an it's an all your literature it's it's a really a core piece of what you're about and you know when you owned it you could diagnose it and hopefully you could fix it or call somebody else to fix it but when you don't own it it's a very different game and as you guys talked about it's really about finding the evidence or everyone's not pointing fingers back in and forth a to validate where the actual problem is and then to also help those people fix the problem that you don't have direct control of so it's a very different you know kind of requirement to get things fixed when they have to get fixed yeah and the first aspect of that is visibility so as an example right you generally don't have a problem going from one part of your house to another part of your house because you own the whole place you know exactly what sits between the two rooms that you're trying to get to you don't you don't have run into surprises but when you're going from let's say Palo Alto to San Francisco and you have two options you can take the 101 or 280 you need to know what you expect to see before you get on one of those options right and so the Internet is very similar you have these environments that you have no idea what to expect and if you don't see that with the right level of granularity that you would in your own environments you would make decisions that you have you know you have no control over right the visibility is really important but it's giving that lens like making it feel like a google maps of the internet that gives you the power to look at these environments like it's your private network that's the hard part right and then so what you guys have done as I understand is you've deployed sensors basically all over the Internet all at an important pops yeah an important public clouds and important enterprises etc so that you now have a view of what's going on it I can have that view inside my enterprise by leveraging your infrastructure is that accurate correct and so this is where the notion of being able to set up this sort of data collection environment is really difficult and so we have created all of this over years so enterprise companies consumer companies they can leverage this infrastructure to get instant results so there's zero implementation what right but the key to that is also understanding the internet itself and so this is where a research background comes in play because we studied we did years of research on actually modeling the internet so we know what strategic locations to put these probes that to give good coverage we know how to fill the gaps and so it's not just a numbers game it's how you deploy them where you deploy them and knowing that connectivity we've created this massive infrastructure now that can give you eyes on the internet and we leverage all of their data together so if let's say hypothetically you know AT&T has an issue that same issue is impacting multiple customers through all our different measurements so it's like ways if you're using ways to get from point A to point B if Waze was just used by your family members and nobody else it would give you completely useless information values in that collective insight right and then now you also will start to be able to until every jamel and AI and you know having all that data and apply just more machine learning to it to even better get out in front of problems I imagine as much as as is to be able to identify it so that's a really interesting point right so the first thing we have to tackle is making a complex data set really accessible and so we have a lot of focus into essentially getting insights out of it using techniques that are smarter than the brute-force techniques to get insights out and then present it in manners that it's accessible and digestible and then as we look into the next stages we're going to bring more and more things like learning and so on to take it even further right it's funny the accessible and digestible piece I've just had a presentation the other day and there was a woman from a CSO at a big bank and she talked about you know the problem of false positives and in in early days I mean their biggest issues was just too much data coming in from too many sensors and and too many false positives to basically bury people so I didn't have time to actually service the things that are a priority so you know a nice presentation of a whole lot of data that's a big difference to make it actual it is absolutely true and now that the example I'll give you is oftentimes when you think about companies that operate with a strong network core like we do they are in the weeds right which is important but what is really important is tying that intelligence to business impact and so the entire product portfolio we've built it's all about business impact user experience and then going into connecting the dots or the network side so we've seen some really interesting events and as much as we know the internet every day I wake up and I see something that surprises me right we've had customers that have done migrations to cloud that have gone horribly wrong right so we the latest when I was troubleshooting with the customer was where we saw they migrated from there on from data center to Amazon and the user experience was 10x worse than what it was on their own data the app once they moved to Amazon okay and what had happened there was the whole migration to Amazon included the smart sort of CDN where they were fronting your traffic at local sites but the traffic was going all over the place so from if a user was in London instead of going to the London instance of Amazon they were going to Atlanta they were going to Los Angeles and so the whole migration created a worse user experience and you don't have that lens because you don't see that in a net portion of that right that's what we like we caught it instantly and we were able to showcase that hey this is actually a really bad migration and it's not that Amazon is bad it's just it's been implemented incorrectly right so ya fix these things and those are all configurations all Connecticut which is so very easy all the issues you hear about with with Amazon often go back to miss configuration miss settings suboptimal leaving something open so to have that visibility makes a huge impact and it's more challenging because you're trying to configure different components of this environment right so you have a cloud component you have the internet component your own network you have your own firewalls and you used to have this closed environment now it's hybrid it involves multiple parties multiple skill sets so a lot of things can really go wrong yeah I think I think you guys you guys crystallize very cleanly is kind of the inside out and outside in approach both you know a as as a service consumer yep right I'm using Salesforce I'm using maybe s3 I'm using these things that I need and I want to focus on that and I want to have a good experience I want my people to be able to get on their Salesforce account and book business but but don't forget the other way right because as people are experiencing my service that might be connecting through and aggregating many other services along the way you know I got to make sure my customer experience is big and you guys kind of separate those two things out and really make sure people are focusing on both of them correct and it's the same technology but you can use that for your production services which are revenue generating or you can use that for your employee productivity the the visibility that you provide is is across a common stack but on the production side for example because of the way the internet works right your job is not just to ensure a great performance in user experience your job is also to make sure that people are actually reaching your site and so we've seen several instances where because of the way internet works somebody else could announce that their google.com and they could suck a bunch of traffic from the Internet and this happens quite routinely in the notion of what is now known as DP hijacks or sometimes DNS hijacks and the the one that I remember very well is when there was the small ISP in Nigeria that announced the identity of the address block for Google and that was picked up by China Telecom which was picked up by a Russian telco and now you have Russia China and Nigeria in the path for traffic to Google which is actually not even going to Google's right those kinds of things are very possible because of the way the internet how fast those things kind of rise up and then get identified and then get shut off is this hours days weeks in this kind of example so it really depends because if you are let's say you were Google in this situation right you're not seeing a denial of service attack T or data centers in fact you're just not seeing traffic running it because somebody else is taking it away right it's like identity theft right like I somebody takes your identity you wouldn't get a mail in your inbox saying hey your identity has been taken back so I see you have to find it some other way and usually it's the signal by the time you realize that your identity has been stolen you have a nightmare ahead of you all right so you've got some specific news a great great conversation you know it's super insightful to talk people that are in the weeds of how all the stuff works but today you have a new a new announcement some new and new offering so tell us about what's going on so we have a couple of announcements today and coming back to this notion of the cloud being a new data center the internet your new network right two things were announcing today is one we're announcing our second version of the cloud then benchmark performance comparison and what this is about is really helping people understand the nuances the performance difference is the architecture differences between Amazon Google ad your IBM cloud and Alibaba cloud so as you make decisions you actually understand what is the right solution for me from a performance architecture standpoint so that's one it's a fascinating report we found some really interesting findings that surprised us as well and so we're releasing that we're also touching on the internet component by releasing a new product which we call as Internet insights and that is giving you the power to actually look at the internet more holistically like you own the entire internet so that is really something we're all excited about because it's the first time that somebody can actually see the Internet see all these connections see what is going on between major service providers and feel like you completely owned the environment so are people using information like that to dynamically you know kind of reroute the way that they handle their traffic or is it more just kind of a general health you know kind of health overview you know how much of it do I have control over how much should I have control over and how much of I just need to know what's going on so yeah so in just me great question so the the best way I can answer that is what I heard CIO say in a CIO forum we were presenting it where they were a customer it's a large financial services customer and somebody asked the CIO what was the value of thousand I wasn't the way he explained it which was really fascinating was phase one of thousand eyes when we started using it was getting rid of technical debt because we would keep identifying issues which we could fix but we could fix the underlying root cause so it doesn't happen again and that just cleared the technical debt that we had made our environment much better and then we started to optimize the environments to just get better get more proactive so that's a good way to think about it when you think about our customers most of the times they're trying to just not have their hair on fire right that's the first step right once we can help them with that then they go on to tuning optimising and so on but knowing what is going on is really important for example if you're providing a.com service like cube the cube comm right it's its life and you're providing it from your data center here you have two up streams like AT&T and Verizon and Verizon is having issues you can turn off that connection and read all your customers back live having a full experience if you know that's the issues right right the remediation is actually quite quite a few times it's very straight forward if you know what you are trying to solve right so do you think on the internet insights this is going to be used just more for better remediation or do you think it's it's kind of a step forward and getting a little bit more proactive and a little bit more prescriptive and getting out ahead of the issues or or can you because these things are kind of ephemeral and come and go so I think it's all of the about right so one the things that the internet insights will help you is with planning because as you expand into new geo so if you're a company that's launching a service in a new market right that immediately gives you a landscape of who do you connect with where do you host right now you can actually visualize the entire network how do you reach your customer base the best right so that's the planning aspect and if you plan right you would actually reduce a lot of the trouble that you see so we had this customer of ours that was deploying Estevan software-defined man in there a she offices and they used thousand eyes to evaluate two different ISPs that they were looking at one of them had this massive time-of-day congestion so every time every day at nine o'clock the latency would get doubled because of congestion it's common in Asia the other did not have time of day congestion and with that view they could implement the entire Estevan on the ice pea that actually worked well for them so planning is important part of this and then the other aspect of this is the thing that folks often don't realize is internet is not static it's constantly changing so you know AT&T may connect to where I is in this way it connects it differently it connects to somebody else and so having that live map as you're troubleshooting customer experience issues so let's say you have customers from China that are having a ton of issues all of a sudden or you see a drop of traffic from China now you can relate that information of where these customers are coming from with our view of the health of the Chinese internet and which specific ISPs are having issues so that's the kind of information merger that simply doesn't happen today right promote is a fascinating discussion and we could go on and on and on but unfortunately do not have all day but I really like what you guys are doing the other thing I just want to close on which which I thought was really interesting is you know a lot of talked about digital transformation we always talk about digital transformation everybody wants a digital transfer eyes it but you really boiled it down into really three create three critical places that you guys play the digital experience in terms of what what the customers experience you know getting to cloud everybody wants to get to cloud so one can argue how much and what percentage but everybody's going to cloud and then as you said in this last example the modern when as you connect all these remote sites and you guys have a play in all of those places so whatever you thought about in 2010 that worked out pretty well thank you and we had a really strong vision but kudos to the team that we have in place that has stretched it and really made the most out of that so excited good job and thanks for for stopping by sharing the story thank you for hosting always fun to be here absolutely all right well he's mo and I'm Jeff you're watching the cube when our Palo Alto studio is having a cube conversation thanks for watching we'll see you next time [Music]

from our studios in the heart of Silicon Valley Palo Alto California this is a cute conversation hey welcome back here ready Jeff Rick here with the cube we're in our Palo Alto studios today to have a cube conversation with a really exciting company they've actually been around for a while but they've raised a ton of money and they're doing some really important work in the world in which we live today which is a lot different than the world was when they started in 2010 so we're excited to welcome to the studio he's been around before Mohit lad he is the CEO and co-founder of thousand ice mode great to see you great to see you as well thrilled to be here yeah welcome back but for people that didn't see the last video or not that familiar with thousand ice tell them a little bit kind of would a thousand eyes all about absolutely so in today's world the cloud is your new data center the Internet is your new network and SAS is your new application stack and thousand eyes is built to be the the only thing that can really help you see across all three of these like it's your own private environment I love that I love that kind of setup and framing because those are the big three things and as you said all those things have moved from inside your control to outside of your control so in 2010 is that was that division I mean when you guys started the company UCLA I guess a while ago now what was that the trend what did you see what yes what kind of started it so it's really interesting right so our background is a founding company with two founders we did our PhD at UCLA in computer science and focused on Internet and we were fascinated by the internet because it was just this complex system that nobody understood but we knew even then that it would meaningfully change our lives not just as consumers but even as enterprise companies so we had this belief that it's gonna be the backbone of the modern enterprise and nobody quite understood how it worked because everyone was focused on your own data center your own network and so our entire vision at that point was we want people to feel the power of seeing the internet like your network that's sort of where we started and then as we started to expand on that vision it was clear to us that the internet is what brings companies together what brings the cloud closer to the enterprise what brings the SAS applications closer to the enterprise right so we expanded into into cloud and SAS as well so when you had that vision you know people had remote offices and they would set up they would you know set up tunnels and peer-to-peer and all kinds of stuff why did you think that it was going to go to that next step in terms of the Internet you know just kind of the public Internet being that core infrastructure yes so we were at the at the very early stages of this journey to cloud right and at the same time you had companies like Salesforce you had office 365 they were starting to just make it so much easier for companies to deploy a CRM you don't have to stand up these massive servers anymore its cloud-based so it was clear to us that that was gonna be the new stack and we knew that you had to build a fundamentally different technology to be able to operate in that stack and it's not just about visibility it's about making use of collective information as well because you're going from a private environment with your own data center your own private network your own application stack to something that's sitting in the cloud which is a shared environment going over the Internet which is the same network that carries cat videos that your kids watch it's carrying production traffic now for your core applications and so you need a different technology stack and you need to really sort of benefit from this notion of collective intelligence of knowing what everybody sees together as one view so I'm curious force was such an important company in terms of getting enterprises to trust a SAS application for really core function with just sales right I think that was a significant moment in moving the dial was there a killer app for you guys that was you know for your customers the one where they finally said wait you know we need a different level of visibility to something that we rely on that's coming to us through an outside service so it's interesting right when we started the company we had a lot of advisors that said hey your position should be you're gonna help enterprises enforce SLA with Salesforce and we actually took a different position because what we realized was Salesforce did all the right stuff on their data centers but the internet could mess things up or enterprise companies that were not ready to move the cloud didn't have the right architectures would have some bottlenecks in their own environment because they are backhauling traffic from their London office to New York and then exiting from New York they're going back to London so all this stuff right so we took the position of really presenting thousand eyes as a way to get transparency into this ecosystem and we we believe that if we take this position if we want to help both sides not just the enterprise companies we want to help sales force we want to have enterprise companies and just really present it as a means of finding a common truth of what is actually going on it works so much better right so there wasn't really sort of one killer application but we found that anything that was real-time so if you think about video based applications or any sort of real-time communications based so the web access of the world they were just very sensitive to network conditions and internet conditions same with things that are moving a lot of data back and forth so these applications like Salesforce office 365 WebEx they just are demanding applications on the infrastructure and even if they're run great if the infrastructure doesn't it doesn't give you a great experience right and and and you guys made a really interesting insight to its and it's an all your literature it's it's a really a core piece of what you're about and you know when you owned it you could diagnose it and hopefully you could fix it or call somebody else to fix it but when you don't own it it's a very different game and as you guys talked about it's really about finding the evidence or everyone's not pointing fingers back in and forth a to validate where the actual problem is and then to also help those people fix the problem that you don't have direct control of so it's a very different you know kind of requirement to get things fixed when they have to get fixed yeah and the first aspect of that is visibility so as an example right you generally don't have a problem going from one part of your house to another part of your house because you own the whole place you know exactly what sits between the two rooms that you're trying to get to you don't you don't have run into surprises but when you're going from let's say Palo Alto to San Francisco and you have two options you can take 101 or 280 you need to know what you expect to see before you get on one of those options right and so the Internet is very similar you have these environments that you have no idea what to expect and if you don't see that with the right level of granularity that you would in your own environments you would make decisions that you have you know you have no control over right the visibility is really important but it's giving that lens like making it feel like a google maps of the internet that gives you the power to look at these environments like it's your private network that's the hard part right and then so what you guys have done as I understand is you've deployed sensors basically all over the Internet all at an important pops yeah and a point in public clouds and important enterprises etc so that you now have a view of what's going on it I can have that view inside my enterprise by leveraging your infrastructures that accurate correct and so this is where the notion of being able to set up this sort of data collection environment is really difficult and so we have created all of this over years so enterprise companies consumer companies they can leverage this infrastructure to get instant results so there's zero implementation in what right but the key to that is also understanding the internet itself and so this is where a research background comes in play because we studied we did years of research on actually modeling the Internet so we know what strategic locations to put these probes that to give good coverage we know how to fill the gaps and so it's not just a numbers game it's how you deploy them where you deploy them and knowing that connectivity we've created this massive infrastructure now that can give you eyes on the internet and we leverage all of their data together so if let's say hypothetically you know AT&T has an issue that same issue is impacting multiple customers through all our different measurements so it's like ways if you're using ways to get from point A to point B if Waze was just used by your family members and nobody else it would give you completely useless information values in that collective insight right and then now you also will start to be able to leverage ml and AI and you know having all that data and apply just more machine learning to it to even better get in get out in front of problems I imagine as much as as is to be able to identify so that's a really interesting point right so the first thing we have to tackle is making a complex data set really accessible and so we have a lot of focus into essentially getting insights out of it using techniques that are smarter than the brute-force techniques you get insights out and then present it in manners that it's accessible and digestible and then as we look into the next stages we're going to bring more and more things like learning and so on to take it even further right it's funny the accessible and digestible piece I was just had a presentation the other day and there was a woman from a CSO at a big bank and she talked about you know the problem of false positives and in in early days I mean their biggest issues was just too much data coming in from too many sensors and and too many false positives to basically bury people so they didn't have time to actually service the things that are a priority so you know a nice presentation of a whole lot of data makes a big difference to make it action it is absolutely true and now that the example I'll give you is oftentimes when you think about companies that operate with a strong network core like we do they're in the weeds right which is important but what is really important is tying that intelligence to business impact and so the entire product portfolio we've built it's all about business impact user experience and then going into connecting the dots or the network side so we've seen some really interesting events and as much as we know the internet every day I wake up and I see something that surprises me right we've had customers that have done migrations to cloud that have gone horribly wrong right so we the latest when I was troubleshooting with the customer was where we saw they migrated from there on from data center to Amazon and the user experience was 10x worse than what it was on their own data of the app once they moved to Amazon okay and what had happened there was the whole migration to Amazon included the smart sort of CDN where they were fronting your traffic at local sites but the traffic was going all over the place so from if a user was in London instead of going to the London instance of Amazon they were going to Atlanta or they were going to Los Angeles and so the whole migration created a worse user experience and you don't have that lens because you don't see that in a net portion of that right that's why we like we caught it instantly and we were able to showcase that hey this is actually a really bad migration and it's not that Amazon is bad it's just it's been implemented incorrectly right so yeah fix these things and those are all configurations all Connecticut which is so very easy all the issues you hear about with with Amazon often go back to miss configuration miss settings suboptimal leaving something open so to have that visibility makes a huge impact and it's more challenging because you're trying to configure different components of this environment right so you have a cloud component you have the Internet component your own network you have your own firewalls and you used to have this closed environment now it's hybrid it involves multiple parties multiple skill sets so a lot of things can really go wrong I think I think you guys you guys crystallized very cleanly is kind of the inside out and outside in approach both you know a as as a service consumer yeah right I'm using Salesforce I'm using maybe s3 I'm using these things that I need and I want to focus on that and I want to have a good experience I want my people to be able to get on their Salesforce account and book business but but don't forget the other way right because as people are experiencing my service that might be connecting through and aggregating many other services along the way you know I got to make sure my customer experience is big and you guys kind of separate those two things out and really make sure people are focusing on both of them correct and it's the same technology but you can use that for your production services which are revenue generating or you can use that for your employee productivity the visibility that you provide is is across a common stack but on the production side for example because of the way the internet works right your job is not just to ensure a great performance in user experience your job is also to make sure that people are actually reaching your site and so we've seen several instances where because of the way internet works somebody else could announce that their google.com and they could suck a bunch of traffic from the internet and this happens quite routinely in the notion of what is now known as DP hijacks or sometimes DNS hijacks and the the one that I remember very well is when there was the small ISP in Nigeria that announced the identity of the address block for Google and that was picked up by China Telecom which was picked up by a Russian telco and now you have Russia China and Nigeria in the path for traffic to Google which is actually not even going to Google's right those kinds of things are very possible because of the way the internet how fast those things kind of rise up and then get identified and then get shut off is this hours days weeks in this kind of example so it really depends because if you are let's say you were Google in this situation right you're not seeing a denial of service attack to your data centers in fact you're just not seeing traffic running in because somebody else is taking it away right it's like identity theft right like I somebody takes your identity you wouldn't get a mail in your inbox saying hey your identity has been taken back so easy you have to find it some other way and usually it's the signal by the time you realize that your identity has been stolen you have a nightmare ahead of you alright so you got some specific news a great great conversation you know it's super insightful to talk to people that are in the weeds of how all the stuff works but today you have a new a new announcement some new and new offering so tell us about what's going on so we have a couple of announcements today and coming back to this notion of the cloud being a new data center the internet your new network right two things were announcing today is one we're announcing our second version of the cloud then benchmark performance comparison and what this is about is really helping people understand the nuances the performance difference is the architecture differences between Amazon Google as your IBM cloud and Alibaba cloud so as you make decisions you actually understand what is the right solution for me from a performance architecture standpoint so that's one it's a fascinating report we found some really interesting findings that surprised us as well and so we're releasing that we're also touching on the internet component by releasing a new product which we call as internet insights and that is giving you the power to actually look at the internet more holistically like you own the entire internet so that is really something we're all excited about because it's the first time that somebody can actually see the Internet see all these connections see what is going on between major service providers and feel like you completely owned the environment so are people using information like that to dynamically you know kind of reroute the way that they handle their traffic or is it more just kind of a general health you know kind of health overview you know how much of it do I have control over how much should I have control over and how much of I just need to know what's going on so yeah so it just me great question so the the best way I can answer that is what I heard CIO say in a CIO forum we were presenting at where they were a customer it's a large financial services customer and somebody asked the CIO what was the value of thousand I wasn't the way he explained it which was really fascinating was phase one of thousand eyes when we started using it was getting rid of technical debt because we would keep identifying issues which we could fix but we could fix the underlying root cause so it doesn't happen again and that just cleared the technical debt that we had made our environment much better and then we started to optimize the environments to just get better get more proactive so that's a good way to think about it when you think about our customers most of the times they're trying to just not have their hair on fire right that's the first step right once we can help them with that then they go on to tuning optimizing and so on but knowing what is going on is really important for example if you're providing a.com sir is like cube the cube comm right it's its life and you're providing it from your data center here you have two up streams like AT&T and Verizon and Verizon is having issues you can turn off that connection and let all your customers back live having a full experience if you know that's the issues right right the remediation is actually quite quite a few times it's very straightforward if you know what you're trying to solve right so do you think on the internet insights this is going to be used just more for better remediation or do you think it's it's kind of a step forward and getting a little bit more proactive and a little bit more prescriptive and getting out ahead of the issues or or can you because these things are kind of ephemeral and come and go so I think it's all of the about right so one the things that the internet insights will help you is with planning because as you expand into new geo so if you're a company that's launching a service in a new market right that immediately gives you a landscape of who do you connect with where do you host right as now you can actually visualize the entire network how do you reach your customer base the best right so that's the planning aspect and if you plan right you would actually reduce a lot of the trouble that you see so we had this customer of ours that was deploying Estevan Software Defined one in there a she offices and they used thousand eyes to evaluate two different ISPs that they were looking at one of them had this massive time-of-day congestion so every time every day at nine o'clock the latency would get doubled because of congestion it's common in Asia the other did not have time of day congestion and with that view they could implement the entire Estevan on the ice pea that actually worked well for them so planning is important part of this and then the other aspect of this is the thing that folks often don't realize is Internet is not static it's constantly changing so you know AT&T might connect to Verizon this way it connects it differently it connects to somebody else and so having that live map as you're troubleshooting customer experience issues so let's say you have customers from China that are having a ton of issues all of a sudden or you see a drop of traffic from China now you can relate that information of where these customers are coming from with our view of the health of the Chinese Internet and which specific ISPs are having issues so that's the kind of information merger that simply doesn't happen today right promote is a fascinating discussion and we could go on and on and on but unfortunately do not have all day but I really like what you guys are doing the other thing I just want to close on which which I thought was really interesting is you know a lot of talk about digital transformation we always talk about digital transformation everybody wants the digital transfer eyes it but you really boiled it down into really three create three critical places that you guys play the digital experience in terms of what what the customers experience you know getting to cloud everybody wants to get to cloud someone can argue how much and what percentage but everybody's going to cloud and then as you said in this last example the MA when as you connect all these remote sites and you guys have a play in all of those places so whatever you thought about in 2010 that worked out pretty well thank you and we had a really strong vision but kudos to the team that we have in place that has stretched it and really made the most out of that so excited good job and thanks for for stopping by sharing the story thank you for hosting always a fun to be here absolutely all right well he's mo and I'm Jeff you're watching the cube when our power out the studio's having a cute conversation thanks for watching we'll see you next time [Music]