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Erin Chu, AWS Open Data | Women in Tech: International Women's Day


 

(upbeat music) >> Hey, everyone. Welcome to theCUBE's coverage of Women in Tech: International Women's Day, 2022. I'm your host, Lisa Martin. Erin Chu joins me next. Life Sciences Lead at AWS Open Data. Erin, welcome to the program. >> Thanks so much for having me, Lisa. Tell me a little bit about you and your role at AWS. >> I would love to. So I am a life sciences lead on the AWS Open Data team, and we are really in the business of democratizing access to data. We believe that if you make high quality, high impact data openly available in the cloud, that people can start innovate, make discoveries and do science faster with those data. So we have a number of specialists with expertise in different domains. Geospatial sciences, climate sustainability, statistical regulatory and then of course myself, the life sciences lead. >> So, you have a really interesting background. You're a veterinarian by training. You have a PhD, you've worked in mobile veterinary clinics, and also in an animal genomic startup, how did you make the change from the clinical side to working for a large international, one of the biggest companies in the world? >> Yeah, I love that question because so much of, I think, anybody's career path is serendipitous and circumstantial, right? But the fact is I was working in a mobile veterinary clinics while I was finishing up a PhD in molecular genomics. And at the same time was reached out to by a professor at Cornell who had started a little dog genomic startup. And he said, "Hey, we need a veterinarian who can talk to people and who understands the genomic side of things?" And I said, "Yeah, I'm your girl." And I came on full time with that startup towards the end of my PhD, signed on after I finished, came on on as their senior veterinary geneticist. Startups a great whirlwind. You end up learning a ton. You have a huge, deep learning curve. You're wearing every possible hat you can. And after a couple years there, I wondered what else I could do. And simply said, where else could I look for work? And how else could I grow? And I decided to try the larger tech world, because I said, this is a toolkit I don't have yet. So I'd like to try and see how I can do it, and here I am. >> And you, I was reading about you that you felt empowered by the notion that I have to trust my instincts. You look at careers in biology, you decided what directions you wanted to take but how did you kind of conjure that feeling of empowerment? >> Yeah, I have to see say I have an incredibly supportive team and in supportive manager, but a lot of it was simply because I've never been afraid to fail. The worst thing that someone can ever say to you is, no or that you didn't do that well. Once you come across that once in your life, it doesn't hurt so bad the second time around. And so, I was hired for a very specific data set that my team was helping to manage. And that does take up a good deal of my time, it still does, but I also had the freedom to say, "Hey, what are the trends in biology? I am an expert in this field. What do I know is coming around the corner? What do I know my researchers need?" And I was entrusted with that, this ability to say, "Hey, these are the decisions I think we should make." And I got to see those outcomes fairly quickly. So, my managers have always put a good deal of trust in me and I don't think I've let them down. >> I'm sure you haven't. Tell me a little bit about some of your mentors or sponsors that have helped guide you along the way and really kind of feel that empowerment that you already had. >> Absolutely. Well, the first and foremost mentor in has been my mother. So, in the spirit of International Women's Day, my mom is actually the first Asian engineer to ever reach executive level. Asian female engineer to ever reach executive level at IBM. And so, I spent my life seeing what my mother could do, and watching her just succeed. And I think very early it clear, she said, "What can't you do?" And that was kind of how I approached my entire life, is what can't I do, and what's the worst thing that will happen. You fail and then you try again. So she is absolutely my first mentor, and a role model to me and hopefully to women everywhere, honestly. I've had some amazing teachers and mentors. My professor who oversaw my PhD, Dr. Paul Soloway. He's currently still at Cornell, really just said, "What decisions do you want to make?" And, "I will support you in the best way I can." And we learned a lot together. I have a professor at Cornell who I still come back. I speak at her alternate careers in veterinary medicine because she just... And she was the one who told me, "Erin, you have a really high buoyancy factor. Don't lose that." And her name is Dr. Carolyn McDaniel. And she has just been such a positive force just saying, "What else could we do?" >> Well, that's- >> And, "Never let your degrees or your training say that this is what you have to do. Think of it as a starting point." >> That's a great point. We often, especially when we're little kids, many of us, you think of these very defined, doctor, lawyer, accountants, nurse instead of having something like you do and being able to go, what else can I do with this? How can I take this education, this information and the interest that I have and parlay it into something that really can kick the door wide open. And to your point, I love how your mom was saying, "What can't you do?" That's a message that everyone needs to hear. And there's an AWS Open Data Sponsorship Program. Talk to me a little bit about that. I'm always interested in sponsorship programs. >> Oh, thanks for asking. So the Open Data Sponsorship Program or the ODP since Open Data Sponsorship Program can be a little mouthful after you say it a few times, but the ODP is a program that AWS sponsors where we will actually cover at the cost of storage transfer and egress of high impact data sets in the cloud. Basically, we know that sometimes the barrier to getting into cloud can be very high for certain providers of gold standard data sets. And when I mean gold standard data sets, I mean like NASA Sentinel-2, or the National Institutes of Health Sequence Read Archive. These are invaluable data sets that are ingested by thousands if not millions of users every day. And what we want to do is lower that barrier to cloud and efficient distribution of those data to zero. So, the program is actually open to anybody. It can be a government entity, it can be a startup, it can be nonprofit. We want to understand more about your data and help you distribute it well in the cloud. >> So this is for any type of organization regardless of industry? >> That's right. >> So, you're really allowing more organizations... One of the things that we say often when we're talking on theCUBE is that every company these days is a data company, or it has to be. Every company has to be a tech company, whether we're talking about your grocery store or AWS, for example. So helping organizations to be able to take that data, understand it, and have those personal conversations that as consumers we expect is critical, but it's challenging for organizations that say, "Well, I came up in retail and now I've got to be a tech company." Talk to me about kind of empowering organizations to be able to use that data, to grow the organization, grow the business, but also to delight customers 'cause of course we are quite picky. >> You're so right. Data is power and it doesn't matter what you are selling or who you are serving. If you have the data about your product. And also to some degree, the data about who your consumers are, you can really tailor an experience. I always tell my colleagues that data is impersonal, right? You can look at bits and bites, numbers, structured columns and rows, but you can funnel data into a truly personal experience as long as you do you it right. And hopefully, when I work with my data providers I ask them, how do you want people to use your data? What are the caveats? How can we make these data easy to work with? But also easy to draw correct insights from. >> Right, that easy to use is critical because as you know the proliferation of data just continues and it will continue. If we think of experiences. I want to go back to your experience. What's been the biggest learning curve that you've had so far? >> Oh my gosh. So, the best part of being at a large company is that you're not in the same room or even like whatever the same slack channel as all of your colleagues, right? Coming from a startup or clinical space where quite literally you are in the same room as everybody 'cause there are less than 60 of you, you could just talk to the person who might be an internal stakeholder. You had that personal relationship, and frankly, like most of the time your views were very aligned. It was sell the product, get to MVP. Moving into larger tech, the steepest curve I had other than becoming very comfortable in the cloud, in all the services that AWS has to offer, were to manage those internal relationships. You have to understand who the stakeholders are. There typically many, many of them for any given project or a company that we're serving. And you have to make sure that you're all aligned internally, make sure that everyone gets what they need and that we reach that end to ultimately serve the customer together. >> Yeah, that communication and collaboration is key. And that's something that we've seen over the last two years, is how dependent we've all become on collaboration tools. But it is a different type of relationship. You're right. Going from a clinic where you're all in the same room or the same location to everyone being distributed globally. Relationship management there is key. It's one of my favorite things about being in tech is that, I think it's such a great community. It's a small community, and I think there's so there's so much opportunity there. If you're a good person, you manage those relationships and you learn how to work with different types of people. You'll always be successful. Talk to me about what you would say, if someone's saying, "Erin, I need some advice. I want to change industries or I want to take this background that I have, and use it in a different industry." What are the three pieces of advice that you would share? >> Oh, absolutely. So, the first thing that I always talk with my... I have quite a few colleagues who have approached me from all different parts of my life. And they've said, "Erin, how did you make the change? And how can I make a change?" And the first thing I say is let's look at your resume and define what your translational skills are. That is so big, right? It doesn't matter what you think you're a specialist in, it's how generalizable are those specialty skills and how can you show that to somebody who's looking at your resume. Let's call it a nontraditional resume. And the second is don't hesitate to ask question. Go for the informational interview. People want to tell you about how they've gotten to where they are and how you might be able to get there too. And so I say, get on LinkedIn and start asking questions. If one person says yes, and you get no responses I call that a success. Don't be afraid of not getting a response, that's okay. And the last thing, and I think this is the most important thing is to hold onto the things that make you happy no matter where you are in your life. It's important to realize you are more than your job. It is important to remember what makes you happy and try to hang on those. I am a gym rat. I admit that I am a gym rat. I'm in the gym five days a week. I have a horse. I go out to see him at least two or three a days. I know it's typical veterinarian, right? You just collect niches until you run out of things you want to pay for. But those are things that have been constant through 20 plus years of being in the workforce. And they've been what kept me going. Let's revise that in ten years. >> So critical because as we all know tech can be all consuming. It will take everything if you let it. So being able to have... We always talk about the balance. Well, the balance is hard. It's definitely a way to scale, right? It's going back and forth, but being able to hold onto the things that actually make you who you are, I think make you better at your job, probably more productive and happier. >> I agree. I totally agree. >> Another thing that you believe, which I love, this is an important message is that, if you look at a job, I like how you said earlier, the worst they can say is no. You have nothing to lose. And it's really true. As scary as that is same thing with raising your hand as you say, and I agree with you about that. Ask a question. It's not a dumb question. I guarantee you. If you're in a room or you're on a Zoom or even in a slack channel. A fair number of people probably have the same question. Be the one to raise your hand and say, "Maybe I missed this. Can you clarify this?" But you also think that you don't have to meet all the job requirements. If you see something that says, five years experience in this or 10 years in that or must have this degree or that degree, you're saying you don't have to meet all that criteria. >> I agree. Yeah, that's another big thing is that, I'll literally talk to people who are like, "Well, Erin, this job application, look at all these requirements and I can't fill these requirements." I'm like, "First of all, who says you can't?" Just because you don't have a certification, what has your work thus far done to reflect that? Yeah, you can meet that requirement, even if you don't have an official certification. But two, like what's the worst thing that happens. You don't get a call back from a recruiter. That's okay. I have so many friends who are afraid of failure, and I tell them, just fail once doesn't hurt. It never hurts as much as you think it's going to hurt. And then you just keep going. >> You keep going and you learn. But you've also brought up a great point about those transfer growth skills or those soft skills that are so important. Communication skills, for example. Relationship building skills that may not be in that written job description. So you may not think about actually there's a tremendous amount of importance that these skills have. That having this kind of breadth of background. I think is always so interesting we think about thought diversity, and if we're talking about women in tech. We know that the number of women in technical roles is is still pretty low, but there's so much data that shows that companies that have even 30% females on their executive staff are more performant and more profitable. So that thought diversity is important, but we need more women to be able to feel that empowerment I think that you feel. >> Yes. >> So when you think of International Women's Day with the theme of breaking the bias, what does that mean to you and where do you feel we are in terms of breaking the bias? >> Yeah, so it's interesting, I was just on a working group with some of my colleagues from our larger organization at AWS. And we were talking about, what are different kinds of bias and what our strategies to go ahead and combat them. The fact is we are all making progress and it has to be in one step at a time. I don't think that if we snapped our fingers, things would just go away. You have to take one step at a time. I also come at it from a data perspective, right? I'm a data person. I work with data. And like I said, data is, or data are, if you want to be correct. Data are impersonal, right? They are just statistics, their numbers, but you can use data to suddenly say, "Hey, where are the biases? And how can we fix them?" So I'm going to give you a great example. So my mother, again, a wonderful woman, a super amazing role model to me. She was diagnosed with breast cancer last year. And she being a smart lady, actually looked online. She went online on Google Scholar and PubMed Central. And she said, "May, look..." May is my little nickname. She goes, "Look at these numbers." She said, "My prognosis is terrible. Look at these numbers, how can you say that this is worth it. That chemotherapy is worth it." And I looked at it and I said, "Mom, I hate to break this to you. But this is a retrospective study of several thousand women from the Bavarian cancer registry." And you might guess I am not a Bavarian origin. I had a chat with her and I said, "Mom, let's look at the data. What are the data? And how can you take away stuff from this with the caveat that you may very well not have the same genetic background as some of the women or most of the women in this registry." There are biases. We know when we look at population sequencing, when we look at the people who are sequenced, the people who put in medical survey information. There are not representations of certain ethnicities of certain sexes, of certain parts of the country. One of the things I really want to do in the next three years is say, how can we support people who are trying to increase representation and research so that every single woman gets the right care and can feel like they are themselves represented in what we call precision medicine or personalized care. >> Absolutely. >> That's a long story. >> It was a great story. >> That was a long answer to answer your question. >> You talked about how your mom was a great inspiration to you and it sounds like you've been quite a great inspiration to her as well. Was a delight talking with you, Erin. Congratulations on your success on being able to be one of those people that is helping to break the bias. We appreciate your time. >> Thanks, Lisa. >> My pleasure. For Erin Chu, I'm Lisa Martin. You're watching Women in Tech: International Women's Day, 2022. (upbeat music)

Published Date : Mar 9 2022

SUMMARY :

Welcome to theCUBE's you and your role at AWS. if you make high quality, high impact data how did you make the change And I decided to try that you felt empowered by the notion that can ever say to you is, no that have helped guide you and hopefully to women this is what you have to do. And to your point, and help you distribute One of the things that we say often I ask them, how do you want Right, that easy to use is critical in all the services that AWS has to offer, Talk to me about what you would say, and how can you show that to somebody I think make you better at your job, I agree. Be the one to raise your hand and say, And then you just keep going. I think that you feel. So I'm going to give you a great example. to answer your question. that is helping to break the bias. International Women's Day, 2022.

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Erin Jensen, Cisco & Kandyce Tripp, IBM | IBM Think 2021


 

>> From around the globe it's theCUBE with digital coverage of IBM Think 2021 brought to you by IBM. >> Welcome to the theCUBE's coverage of IBM think 2021, the digital experience. I'm Lisa Martin. I've got two guests here with me next. We're going to be talking about IBM and Cisco. Please welcome Candace Tripp, a partner at Global Security Services Alliances at IBM. Kandyce, it's great to have you on theCUBE. >> Thank you. It's great to be here, Lisa. >> And Erin Jensen joins us as well. Global Partner Executive for IBM at Cisco. Erin, welcome to you as well. >> Yeah, thanks for having me. >> I love it, three women, power women on a tech panel. >> I know, I love it. >> Isn't that nice? It's rare. >> It is. >> Exciting. >> Praise God. All right, let's go ahead, Erin and we're going to start with you. Let's talk about Cisco's strategy and security and how that aligns with IBM. >> Absolutely. Thanks Lisa. So Cisco in the last seven years have made considerable amount of investment in our portfolio. And in fact, it's one reason why I joined Cisco. I've been hearing about customer problems across many security threat vectors and issues. And customers are really looking for a product portfolio that helps them across all their security needs. IBM has taken a similar approach, right? We're not just one product or one service. IBM also has a service portfolio that helps customers through the long haul and their security journey. We're both working to solve problems like Zero Trust, SAS, Cloud security, and helping all of our customers with digital transformation and moving to the cloud. And so both of us have really taken a similar long-term approach to our customer vision and security. >> We've heard a lot about security challenges and the expansion of threat vectors and surfaces and data in the last year or so. So that double-down focus from both IBM and Cisco on security is absolutely critical for customers. Kandyce, let's get your perspective now. Talk to me about IBM security services and the value that it delivers with Cisco's security portfolio, those two powerhouses together. >> Yeah. Great question. I really appreciate it. One of the things I want to point out is just that IBM security services is one of the largest MSPs in the industry. And I think it's a really exciting time and I'm very thrilled to be a part of that. And the answer to your question, we simplify security solutions, we reduce risk, we provide architectural consulting and systems integration. And we do that in support of our partnerships, just like with Cisco, with Cisco, excuse me. So I think it's a really exciting partnership and there's a lot of value provided. >> And then Kandyce also, you recently launched IBM security services Alliance program. What can you tell us about that? >> Yeah, absolutely. So I'm very excited about it. We launched it on March 1st of this year. And it is a very targeted program that's designed to promote support and reward us like set of partners. And Cisco is one of those partners that has been invited to participate. And these are the partners that are committed to doing a couple of different things. One of which is supporting the development of our offerings. It's also partners that are integrating into our technology platform and they also train and enable our engineers, our consultants as well as our sellers. So they bring a lot of value to the table. And like I said before, Cisco is one of the partners that have been invited to participate. And we're very excited. >> Yeah. >> Go ahead Erin. >> And just to add on that as Candace is saying like Cisco is really excited to participate in this program. It's really, truly about delivering an outcome to our customers. And so the program gives us tools to make investments integrations, et cetera. And the part about partnership it's an evolution of things, right? We want to work together. The landscape of the threats are changing, our world's changing, we're in a pandemic, we've got to be able to pivot and really help customers solve these problems together. And the Alliance program gives us a formal way a really kind of put in the wood behind the arrow. So we're really excited to participate. >> Thanks Erin, excited to have you. >> Great. So Kandyce, I'm curious, as Erin was saying that the threat vector, things are expanding, we've seen so much flux. They're saying we're in a dynamic market, situation is a pretty big understatement. What was the impetus of this Alliance? Was it, this Alliance program, did it have anything to do with the flux that we've been through in the last year? >> Well, I think anytime you launch a program or create a strategy, you're obviously solving a problem. And we all know that security is complex and we need to simplify it. And in today's market, there's a shortage of professionals in the industry. There's a lot of siloed processes and a lot of tools. And anytime that you can bring a strategy to the table that solves some of these challenges, it's definitely worthwhile. And our goal is to bring together advisors and integrated leading technologies vendors such as Cisco. And our goal is to help our clients obviously. And optimally, what we want to do is we want to align their security strategy. We want to make sure that we protect their digital users, their data, their assets. We also want to modernize our technology with these advisors. And ultimately, we found a partnership in Cisco in regards to this program, where we can solve some of our customer's challenges and we can leverage this partnership to the fullest. >> Can you talk to me a little bit about the difference between a technology alliances program and a security service Alliance partner at IBM security program? >> Kandyce: Absolutely. Well, I think it's to call out that Cisco is both actually. We do have a Technology Alliance partners as you mentioned, and Security Service Alliance partners and our Technology Alliance partners are purpose built integrations with IBM security products. On the opposite side, you have Security Service Alliance partners where there's kind of two aspects to it. It could be, it's an either situation where they're integrated into our security service offering or we build an offering around the partners technology. And in the case of Cisco there's many product integrations. I'll name two as examples, one being QRadar and the other being Resilient. But I think what makes the partnership so interesting is there's an extensive portfolio to choose from. And I think that makes it very exciting for our clients to kind of look at what we bring to the table jointly and create leverage out of that. Erin, do you have anything to add? >> A couple of things. So the questions we get a lot from customers is, is there overlap in some of these software solutions? And the fact is there really isn't. We are more complimentary than competitive. And one of the things that we want to do to enhance the customer experience is really give a customer the confidence, but also a full service solution. The way Cisco views IBM and security space is like the glue, right? We provide all the automation a lot of the visibility, our tools, for instance QRadar, pump all of the log information and help with instant response to how customers look at threats. And we really want them to, customers would feel confident by being together and really let's face it, IBM and Cisco are the biggest players in the market. But to Kandyce's point they're also looking for innovation from us and we giving them the roadmaps to go to the next level. So our partnership really provides that. And in fact, it's really important to note that IBM is actually a big Cisco client and has invested in some of our technologies around Umbrella, Next-Gen firewall and our IPS and AnyConnect Solution. So truly our use case is between our companies too not just for our customers. So it's part of our loyalty and commitment to each other but also to all the folks who are making investments working with IBM and Cisco. >> So there's a long history deep collaboration between IBM and Cisco here. I'm wondering if either of you and Kandyce we'll start with you, can you talk about anything that you saw in the last year. I'm thinking, from a security perspective we saw governments and schools and hospitals and healthcare organizations being attacked because they were, there was so much focus on those organizations. I'm curious if there's any industries that you guys saw in the last year or so in particular that really have benefited from your Security Services Alliance program? >> Well, I think we just launched the program in March. So we are currently in the process of rolling it out but will say, as a organization we spend a lot of time making sure that we're relevant to the community, that we're solving some of the deepest problems in the industry. And I think it's an exciting time and I know that IBM Security Services brings a lot of solutions to its clients and we'll continue to do so. >> And then Erin, tell me from Cisco's perspective and yes, Kandyce you mentioned that this is a brand new program. What are some of the things that you're looking forward to being able to help clients in industries that I mentioned and really any industry pivot as we're still in such a globally challenging situation? >> Yes. So I won't necessarily talk about verticals but let's talk about the pandemic. So many of our customers in all different kinds of verticals have had to take their business home. Securing all the remote workers, doing what we call Zero Trust and edge security making sure they are who they say they are when they're connecting to the mothership. And so we've really put a lot of effort at Cisco around addressing these problems in a fast and efficient way. And then IBM helps us manage that for customers. So if they don't have the bandwidth, once solutions go in and we turn the key on they don't have the bandwidth to manage this themselves, IBM really picks that ball up and runs with it. So that's another big value out of our partnership. But let's face it, gosh, a year and a half ago all of this changed on the dime. So we had to pivot really quickly. And because we have teams in place are already working together on how we service these solutions through IBM, this was not necessarily a very hard shift. We were able to do this quickly and provide information and kind of stay ahead of the curve while we saw our customers go through this transition. >> And I can only imagine how critical IBM and Cisco were together as you mentioned, Erin, that pivot to work from home happened so quickly for millions and millions, hundreds of millions of not more of people, and there's a good amount of us that are still in that situation that are reliant on technologies. But like IBM and Cisco are delivering, for collaboration, for communication, even to connect families I'm sure what you guys have done helping those customers pivot is just the tip of the iceberg in helping them not just survive this time but be able to thrive, maybe even focus resources on identifying new products on new services, new ways to delight their customers. >> Yeah, I think that's the other thing that's happening between our firms kind of within security and also more broadly is a lot of our customers are moving to the Cloud and they really need help with this kind of full service look and strategy and ongoing managing and the long haul from a partner. So one of the things that's also been really valuable in our partnership is we have teams of people on account level that really understand our customers and can make these recommendations based on what we're putting together behind the scenes and helping them through the journey. So security is clearly a big part of, kind of what's on everyone's mind, but as far as, can a regular IT operations and networking, it's all part of one journey. And so this layered approach is I think what differentiates our partnership absolutely in the marketplace. >> I agree with you, Erin. I think there's a lot to be excited about that. >> We'll good. Ladies, thank you for joining me today. Talking to me about this new security strategy Alliances Program, what it's offering, the power that IBM and Cisco are bringing jointly to your customers. We look forward to seeing what happens in the next year. Thanks for your time. >> Thank you, Lisa. >> Thank you. >> Well, Kandyce Tripp and Erin Jensen. I'm Lisa Martin. You're watching theCUBE's coverage of IBM Think, the digital experience. (soft upbeat music)

Published Date : May 12 2021

SUMMARY :

brought to you by IBM. Kandyce, it's great to It's great to be here, Lisa. And Erin Jensen joins us as well. I love it, three women, Isn't that nice? and how that aligns with IBM. and helping all of our customers and data in the last year or so. And the answer to your question, And then Kandyce also, that has been invited to participate. And so the program gives us did it have anything to do with the flux And our goal is to bring together advisors And in the case of Cisco And one of the things that we want to do and Kandyce we'll start with you, and I know that IBM Security Services and yes, Kandyce you mentioned and kind of stay ahead of the curve that pivot to work from home and the long haul from a partner. I think there's a lot to We look forward to seeing of IBM Think, the digital experience.

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Erin Jensen and Kandyce Tripp


 

(piano music) >> Presenter: From around the globe it's theCUBE with digital coverage of IBM Think 2021 brought to you by IBM. >> Welcome to the theCUBE's coverage of IBM think 2021, the digital experience. I'm Lisa Martin. I've got two guests here with me next. We're going to be talking about IBM and Cisco. Please welcome Candace Tripp, a partner at Global Security Services Alliances at IBM. Kandyce, it's great to have you on theCUBE. >> Thank you. It's great to be here, Lisa. >> And Erin Jensen joins us as well. Global Partner Executive for IBM at Cisco. Erin, welcome to you as well. >> Yeah, thanks for having me. >> I love it, three women, power women on a tech panel. >> I know, I love it. >> Isn't that nice? It's rare. >> It is. >> Exciting. >> Praise God. All right, let's go ahead, Erin and we're going to start with you. Let's talk about Cisco's strategy and security and how that aligns with IBM. >> Absolutely. Thanks Lisa. So Cisco in the last seven years have made considerable amount of investment in our portfolio. And in fact, it's one reason why I joined Cisco. I've been hearing about customer problems across many security threat vectors and issues. And customers are really looking for a product portfolio that helps them across all their security needs. IBM has taken a similar approach, right? We're not just one product or one service. IBM also has a service portfolio that helps customers through the long haul and their security journey. We're both working to solve problems like Zero Trust, SAS, Cloud security, and helping all of our customers with digital transformation and moving to the cloud. And so both of us have really taken a similar long-term approach to our customer vision and security. >> We've heard a lot about security challenges and the expansion of threat vectors and surfaces and data in the last year or so. So that double-down focus from both IBM and Cisco on security is absolutely critical for customers. Kandyce, let's get your perspective now. Talk to me about IBM security services and the value that it delivers with Cisco's security portfolio, those two powerhouses together. >> Yeah. Great question. I really appreciate it. One of the things I want to point out is just that IBM security services is one of the largest MSPs in the industry. And I think it's a really exciting time and I'm very thrilled to be a part of that. And the answer to your question, we simplify security solutions, we reduce risk, we provide architectural consulting and systems integration. And we do that in support of our partnerships, just like with Cisco, with Cisco, excuse me. So I think it's a really exciting partnership and there's a lot of value provided. >> And then Kandyce also, you recently launched IBM security services Alliance program. What can you tell us about that? >> Yeah, absolutely. So I'm very excited about it. We launched it on March 1st of this year. And it is a very targeted program that's designed to promote support and reward us like set of partners. And Cisco is one of those partners that has been invited to participate. And these are the partners that are committed to doing a couple of different things. One of which is supporting the development of our offerings. It's also partners that are integrating into our technology platform and they also train and enable our engineers, our consultants as well as our sellers. So they bring a lot of value to the table. And like I said before, Cisco is one of the partners that have been invited to participate. And we're very excited. >> Yeah. >> Go ahead Erin. >> And just to add on that as Candace is saying like Cisco is really excited to participate in this program. It's really, truly about delivering an outcome to our customers. And so the program gives us tools to make investments integrations, et cetera. And the part about partnership it's an evolution of things, right? We want to work together. The landscape of the threats are changing, our world's changing, we're in a pandemic, we've got to be able to pivot and really help customers solve these problems together. And the Alliance program gives us a formal way a really kind of put in the wood behind the arrow. So we're really excited to participate. >> Thanks Erin, excited to have you. >> Great. So Kandyce, I'm curious, as Erin was saying that the threat vector, things are expanding, we've seen so much flux. They're saying we're in a dynamic market, situation is a pretty big understatement. What was the impetus of this Alliance? Was it, this Alliance program, did it have anything to do with the flux that we've been through in the last year? >> Well, I think anytime you launch a program or create a strategy, you're obviously solving a problem. And we all know that security is complex and we need to simplify it. And in today's market, there's a shortage of professionals in the industry. There's a lot of siloed processes and a lot of tools. And anytime that you can bring a strategy to the table that solves some of these challenges, it's definitely worthwhile. And our goal is to bring together advisors and integrated leading technologies vendors such as Cisco. And our goal is to help our clients obviously. And optimally, what we want to do is we want to align their security strategy. We want to make sure that we protect their digital users, their data, their assets. We also want to modernize our technology with these advisors. And ultimately, we found a partnership in Cisco in regards to this program, where we can solve some of our customer's challenges and we can leverage this partnership to the fullest. >> Can you talk to me a little bit about the difference between a technology alliances program and a security service Alliance partner at IBM security program? >> Kandyce: Absolutely. Well, I think it's to call out that Cisco is both actually. We do have a Technology Alliance partners as you mentioned, and Security Service Alliance partners and our Technology Alliance partners are purpose built integrations with IBM security products. On the opposite side, you have Security Service Alliance partners where there's kind of two aspects to it. It could be, it's an either situation where they're integrated into our security service offering or we build an offering around the partners technology. And in the case of Cisco there's many product integrations. I'll name two as examples, one being QRadar and the other being Resilient. But I think what makes the partnership so interesting is there's an extensive portfolio to choose from. And I think that makes it very exciting for our clients to kind of look at what we bring to the table jointly and create leverage out of that. Erin, do you have anything to add? >> A couple of things. So the questions we get a lot from customers is, is there overlap in some of these software solutions? And the fact is there really isn't. We are more complimentary than competitive. And one of the things that we want to do to enhance the customer experience is really give a customer the confidence, but also a full service solution. The way Cisco views IBM and security space is like the glue, right? We provide all the automation a lot of the visibility, our tools, for instance QRadar, pump all of the log information and help with instant response to how customers look at threats. And we really want them to, customers would feel confident by being together and really let's face it, IBM and Cisco are the biggest players in the market. But to Kandyce's point they're also looking for innovation from us and we giving them the roadmaps to go to the next level. So our partnership really provides that. And in fact, it's really important to note that IBM is actually a big Cisco client and has invested in some of our technologies around Umbrella, Next-Gen firewall and our IPS and AnyConnect Solution. So truly our use case is between our companies too not just for our customers. So it's part of our loyalty and commitment to each other but also to all the folks who are making investments working with IBM and Cisco. >> So there's a long history deep collaboration between IBM and Cisco here. I'm wondering if either of you and Kandyce we'll start with you, can you talk about anything that you saw in the last year. I'm thinking, from a security perspective we saw governments and schools and hospitals and healthcare organizations being attacked because they were, there was so much focus on those organizations. I'm curious if there's any industries that you guys saw in the last year or so in particular that really have benefited from your Security Services Alliance program? >> Well, I think we just launched the program in March. So we are currently in the process of rolling it out but will say, as a organization we spend a lot of time making sure that we're relevant to the community, that we're solving some of the deepest problems in the industry. And I think it's an exciting time and I know that IBM Security Services brings a lot of solutions to its clients and we'll continue to do so. >> And then Erin, tell me from Cisco's perspective and yes, Kandyce you mentioned that this is a brand new program. What are some of the things that you're looking forward to being able to help clients in industries that I mentioned and really any industry pivot as we're still in such a globally challenging situation? >> Yes. So I won't necessarily talk about verticals but let's talk about the pandemic. So many of our customers in all different kinds of verticals have had to take their business home. Securing all the remote workers, doing what we call Zero Trust and edge security making sure they are who they say they are when they're connecting to the mothership. And so we've really put a lot of effort at Cisco around addressing these problems in a fast and efficient way. And then IBM helps us manage that for customers. So if they don't have the bandwidth, once solutions go in and we turn the key on they don't have the bandwidth to manage this themselves, IBM really picks that ball up and runs with it. So that's another big value out of our partnership. But let's face it, gosh, a year and a half ago all of this changed on the dime. So we had to pivot really quickly. And because we have teams in place are already working together on how we service these solutions through IBM, this was not necessarily a very hard shift. We were able to do this quickly and provide information and kind of stay ahead of the curve while we saw our customers go through this transition. >> And I can only imagine how critical IBM and Cisco were together as you mentioned, Erin, that pivot to work from home happened so quickly for millions and millions, hundreds of millions of not more of people, and there's a good amount of us that are still in that situation that are reliant on technologies. But like IBM and Cisco are delivering, for collaboration, for communication, even to connect families I'm sure what you guys have done helping those customers pivot is just the tip of the iceberg in helping them not just survive this time but be able to thrive, maybe even focus resources on identifying new products on new services, new ways to delight their customers. >> Yeah, I think that's the other thing that's happening between our firms kind of within security and also more broadly is a lot of our customers are moving to the Cloud and they really need help with this kind of full service look and strategy and ongoing managing and the long haul from a partner. So one of the things that's also been really valuable in our partnership is we have teams of people on account level that really understand our customers and can make these recommendations based on what we're putting together behind the scenes and helping them through the journey. So security is clearly a big part of, kind of what's on everyone's mind, but as far as, can a regular IT operations and networking, it's all part of one journey. And so this layered approach is I think what differentiates our partnership absolutely in the marketplace. >> I agree with you, Erin. I think there's a lot to be excited about that. >> We'll good. Ladies, thank you for joining me today. Talking to me about this new security strategy Alliances Program, what it's offering, the power that IBM and Cisco are bringing jointly to your customers. We look forward to seeing what happens in the next year. Thanks for your time. >> Thank you, Lisa. >> Thank you. >> Well, Kandyce Tripp and Erin Jensen. I'm Lisa Martin. You're watching theCUBE's coverage of IBM Think, the digital experience. (soft upbeat music)

Published Date : Apr 20 2021

SUMMARY :

brought to you by IBM. Kandyce, it's great to It's great to be here, Lisa. And Erin Jensen joins us as well. I love it, three women, Isn't that nice? and how that aligns with IBM. and helping all of our customers and data in the last year or so. And the answer to your question, And then Kandyce also, that has been invited to participate. And so the program gives us did it have anything to do with the flux And our goal is to bring together advisors And in the case of Cisco And one of the things that we want to do and Kandyce we'll start with you, and I know that IBM Security Services and yes, Kandyce you mentioned and kind of stay ahead of the curve that pivot to work from home and the long haul from a partner. I think there's a lot to We look forward to seeing of IBM Think, the digital experience.

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Erin A. Boyd, Red Hat | KubeCon + CloudNativeCon NA 2019


 

>> Announcer: Live from San Diego, California, it's theCUBE, covering KubeCon + CloudNativeCon. Brought to you by Red Hat, the Cloud Native Computing Foundation and its ecosystem partners. >> Welcome to the third day of wall-to-wall coverage here at Kubecon + CloudNativeCon 2019 in San Diego. I am your host for the three days of coverage, Stu Miniman. Joining me this morning is Justin Warren. And happy to welcome back to the program, Erin Boyd who's a senior principal software engineer at Red Hat. Erin, thanks so much for joining us. >> Thanks for having me. >> All right, so we had a chance to catch up in Barcelona on theCUBE there. Storage is definitely one of the faster moving areas of this ecosystem over the last two years. Why don't we start with, really, the event? So, you know, as I said, we're in day three but day zero there were a whole lot of things we had. Some of your peers at Red Hat have talked about OpenShift Commons, but storage, to my understanding had a couple of things going on. Why don't you share with our audience a little bit of that? >> Sure, so we had a SIG face-to-face for Kubernetes, it was probably one of the best attended. We had to cap the number of attendees, so about 60 different people came to talk about the future of Kubernetes in storage, and what we need to be doing to meet our customers' needs. In conjunction with that, there was a parallel session called CNS Days, which is Container Native Storage Days. That event is very customer focused, so I really enjoyed bouncing between the two of them. To go from the hypothetical, programming, architecture view, straight to what customers in the enterprise are looking at and doing, and what their real needs are. >> So from that SIG, can you actually share a little bit of where we are, where some of the requests are? We know storage is never one way to fix it, there's been some debates, there's a couple different ways to do... I mean, traditional storage, you've got block, file, and object. Cloud storage, there are more options in cloud storage today than there was, if I was to configure a server, or buy a storage array in my own data center. So where are we, what are those asks? What's on the roadmap there? >> Right, so I think for the past five years, we've been really focused on being mindful of what APIs are common across all the vendors. I think we want to ensure that we're not excluding any vendors from being part of this ecosystem. And so, with that, we've created the basis of things like persistent volumes, persistent volumes claims, storage classes to automate that, storage quotas to be able to have management and control over it. So I think now we're looking to the next evolution of... As the model's maturing, and people are actually running stateful applications on Kubernetes, we need to be addressing their needs. So things like snapshotting, eventually volume cloning, which has just gone in, and migrating. All these type of things that exist within the data plane are going to be the next evolution of things we look at in the SIG. >> Yeah, so one criticism that's been mentioned about Kubernetes a few times, that one, it's a bit complicated. But also, it didn't really deal that well with stateful sets. Stateful data management has always been, it's been a little bit lacking. That seems to have pretty much been sorted out now. As you mentioned, there's a lot more work being done on storage operators. But you're talking about some of these data management features that operators from other paradigms are kind of used to being there. When you're thinking about moving workloads to Kubernetes, or putting in new workloads on Kubernetes, if you're unsure about, "Well, will I be able to operate this in the same way that I did things before?" How do you think people should be thinking about those kind of data services in Kubernetes? >> So I think it's great that you mentioned operators. Because that was one of the key things when Rook came into the landscape, to be able to lower the complexity of taking something that requires physical storage and compute, geography, node selection. All those things, it helped people who were used to just the cloud model. I create a PVC, it's a request for storage, Amazon magically fulfills it. I don't know what's backing it. To be able to take these more complex storage systems and deploy them within the ecosystem, it also does a good job supporting our Brownfield customers, because not every customer that's coming to Kubernetes is green. So it's important that we understand that some customers want to keep their data on-prem, maybe burst to the cloud to leverage those services, but then keep their data close to home. So operators help facilitate that. >> Yeah, Erin, I hesitate a little bit to ask this, but I'm wondering if you can do a little compare, contrast for us, for what the industry had done back in OpenStack days? When I looked at storage, every traditional storage company certified their environment for OpenStack. On a storage standpoint, it feels like a different story to me when I hear about the ecosystem of operators in OpenStack. So I know you know this space, so maybe you can give us a little bit of what we learned in the past. What's similar, what's different? >> Right, well I think one of the benefits is we have a lot of the same key players. As you may know, OpenShift has pivoted from Gluster to Ceph, Ceph being the major backer of OpenStack. So we're able to take some of that technical debt, and learn our lessons from things we could improve, and apply those things within Kubernetes. I just think that it's a little slower migration, because in OpenStack, like you said, we had certification, there were different drivers. And we're trying to learn from, maybe, I wouldn't even call those mistakes, but, how can we better automate this? What can we do from an operational perspective to make it easier? >> Well I think because one of the... It felt like we were kind of taking some older models and... I'm testing it, I'm adding it. The ecosystem for operators here is different. Many of these, we're talking very much software-driven solutions. It's built for container architectures, so it's understandable that it might take a little bit longer because it's a different paradigm. >> Right, well, and I think the certification kind of... It wasn't an inhibitor but it certainly took a lot of time. And I think our take was on... We used to have all the storage providers be entry providers within Kubernetes. And with CSI, we have since started to redo the plugins and the sidecars, and move that out of core. So then the certification kind of falls outside of that instead of being more tightly wound into the platform. And I think it will allow us to have a lot more flexibility. Instead of waiting on each release, vendors can create operators, certify them themselves, have them in their own CSI driver, and move at the pace that they need to move. >> So how do you balance that need for Kubernetes to be a common operating platform that people can build on with each vendor's desire to provide their own unique capabilities that they think that they do particularly well? That's why they charge the money that they do, because they think that theirs is the best storage ever. How do you balance that tension between the need for a standard platform and to make it interoperable, but still allowing the flexibility for people to have their own kind of innovation in there? >> So when we created the storage class, for instance, to be able to create a service level over storage, to be able to provide the provisioner that we're going to use, we made the specification of that section completely opaque. And what that allowed us to do is that when vendors wrote their provisioners and now their CSI drivers, allowed them to feed in different attributes of the storage that they want to leverage, that don't necessarily have to be in core Kubernetes. So it provided a huge amount of flexibility on that. The other side of that, though, is, the feeback we get from real users is "I need backup and recovery, and I need DR, and I need that across the platform." So I really think as we look to scale this out, we have to be looking at the commonalities between all storage and bringing those APIs into Kubernetes. >> One of the things I've really liked to see in this ecosystem over the last year or so, and really highlighted at this show, we're talking a lot more about workloads and applications and how those... What works today and where we're growing. Can you speak a little bit from your world as to where we are, what's working great, what customers are deploying, and a little bit, the road map of where we still need to go? >> Sure, I think workloads are key. I mean, I think that we have to focus on the actual end-to-end delivery of that, and so we have to figure out a way that we can make the data more agile, and create interfaces to really enable that, because it's very unlikely that an enterprise company is going to rely on one cloud or stay with one cloud, or want their data in one cloud. They're going to want to have the flexibility to leverage that. So as we enable those workloads, some are very complex. We started with, "Hey, I just want to containerize my application and get it running. Now I want to have some sort of state, which is persistent storage, and now I want to be able to scale that out across n number of clusters." That's where the workloads become really important. And long term, where we need policy to automate that. My pod goes down, I restart it, it needs to know that because of, maybe, the data that that workload's producing, it can only stay in this geographical region. >> Yeah, we talk about multicloud. You mentioned data protection, data protection is something I need to do across the board. Security is something I need to do across the board. My automation needs to take all that into account. How's Red Hat helping customers get their arms around that challenge? >> Yeah, so I think Red Hat really does take a holistic view in making sure that we provide a very consistent, secure platform. I think that's one of the things that you see when you come on to OpenShift, for instance, or OKR, that you're seeing security tightened a little bit more, to ensure that you're running in the best possible way that you can, to protect your data. And then, the use of Rook Ceph, for instance, Ceph provides that universal backplane, where if you're going to have encryption or anything like that, you know it's going to be the same across that. >> It sounds like there's an opportunity here for people new to Kubernetes who have been doing things in a previous way. There's a little bit of reticence from this community to understand enterprise, they're like, "Well, actually, you're kind of doing it wrong. It's slow and inflexible." There's actually a lot of lessons that we've learned in enterprise, particularly around these workloads. Having security, having backup in DR. In the keynote this morning, there was a lot of discussion about the security that either is in Kubernetes, and some parts it's kind of lacking. I think there's a lot that both of these communities can learn from each other, so I'm seeing a lot of moves of late to be a little bit more welcoming to some people who are coming to Kubernetes from other ecosystems. To be able to bring the ideas that they have that... We've already learned these lessons before, we can take some of that knowledge and bring it into Kubernetes to help us to do that better. Do you see Red Hat bringing a lot of that expereience in its work... Red Hat's been around for quite some time now, so you've done a lot of this already. Are you bringing all of that knowledge into Kubernetes and sharing it with the ecosystem? >> Absolutley, and just like Stu pointed out, I mean, OpenStack was a big part of our evolution, and security within RHEL, and I think we absolutely should take those lessons learned and look to how we do protect our customers' data, and make sure that the platform, Kubernetes itself and as we evolve OpenShift, can provide that, and ways that we can certify that. >> Erin, you're meeting with a lot of customers. You were talking about the Day Zero thing. What's top of mind for your customers? We talk about, that Kubernetes has crossed the chasm but to get the vast majority, there's still lots of work to do. We need to, as an industry, make things simpler. What's working well, and what are some of the challenges from the customers that you've talked to? >> So I think, if you walk in, across the hall, and you see how many vendors are there, it's trying to get a handle on what I should even be doing. And as the co-lead of the CNCF Storage SIG, I think that's one of the initiatives that we take very seriously. So in addition to a storage whitepaper, we've been working on use cases that define, when should I use a data store? When should I use object? Why would I want to use file? And then really taking these real-world examples, creating use cases and actual implementations so someone can, "Oh, that's similar to my workload." Here are some tools to accelerate understanding how to get that set up. And also creating those guard rails from an architectural standpoint. You don't want to go down this path, that's not right for your workload. So we're hoping to at least provide an education around containerized storage that'll help customers. >> Yeah, I'm just curious. I think back ten years ago, I was working for a large storage company. We were having some of these same conversations. So is it very different now in the containerized, multicloud world? Or are some of the basic decision tree discussions around block, file, and object and application the same as we might have been having a decade ago? >> I think we're starting to just touch on those, and I'm glad that you brought up object. That was one of the things I talked about in Barcelona, and we actually talked about at the face-to-face. To me, it's kind of the missing piece of storage today in Kubernetes, and I think we're finally starting to see that more customers are asking for that and realizing that's an important workload to be able to support at its core. So I think, yes, we're having the same conversations again, but certainly in a different context. >> Yeah, I mean, back in the day, it was, the future is object but we don't know how we'd get there. If you look behind the scenes in most public clouds, object's running a lot of what's there. All right, Erin, I want to give you the final word. KubeCon 2019, from that storage perspective. What should people watching take away? >> That we're only beginning with storage, yeah. We still have a lot of work to do, but I think it's a wonderful community and vibrant, and I think there'll be a lot of changes in the coming years. >> All right. Well, definitely a vibrant ecosystem. Erin, thank you so much for all the updates. We'll be back with more coverage here, for Justin Warren. I'm Stu Miniman. Thank you for watching theCUBE. (techno music)

Published Date : Nov 21 2019

SUMMARY :

Brought to you by Red Hat, the Cloud Native And happy to welcome back to the program, Erin Boyd to my understanding had a couple of things going on. We had to cap the number of attendees, so about 60 So from that SIG, can you actually share a little bit are going to be the next evolution of That seems to have pretty much been sorted out now. came into the landscape, to be able to lower the complexity Yeah, Erin, I hesitate a little bit to ask this, but to Ceph, Ceph being the major backer of OpenStack. It felt like we were kind of taking some older models the pace that they need to move. but still allowing the flexibility for people to that don't necessarily have to be in core Kubernetes. One of the things I've really liked to see I mean, I think that we have to focus on the actual Security is something I need to do across the board. I think that's one of the things that you see moves of late to be a little bit more welcoming take those lessons learned and look to how we do protect but to get the vast majority, So in addition to a storage whitepaper, the same as we might have been having a decade ago? and I'm glad that you brought up object. All right, Erin, I want to give you the final word. That we're only beginning with storage, yeah. Erin, thank you so much for all the updates.

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Erin A. Boyd, Red Hat | KubeCon + CloudNativeCon EU 2019


 

>> Live, from Barcelona, Spain, it's the theCUBE, covering KUBECON and CloudNativeCon Europe 2019. Brought to you by RedHat, the Cloud Native Computing Foundation, and the Ecosystem Partners. >> Welcome back to theCUBE. I'm Stu Miniman. My co-host, Corey Quinn. 7700 here in Barcelona, Spain, for KUBECON, CLOUDNATIVECON. Happy to welcome to the program a first-time guest, Erin Boyd, who is a senior Principal Software Engineer in the office of the CEO of RedHat. Erin, thanks so much for joining us. >> Yeah, thanks for having me. >> Alright, so just a couple of weeks ago, I know I was in Boston, you probably were too, >> Yep. >> For RedHat Summit. Digging into a lot of the pieces. You focus on multi-cloud and storage. Tell us a little bit about, you know, your role, and what you're doing here at the KUBECON show. >> Sure, I'd be happy to. So for over a year now, RedHat's really been kind of leading the pack on hybrid cloud. You know, allowing customers to have more choice, you know, with both public and private cloud offerings. And, of course, OpenShift being our platform built on Kubernetes, we believe that should be the consistent API in which we have Federation. Yeah, so Erin, I got to talk to quite a few OpenShift customers at RedHat Summit. It was really how they're using that as a lever to help them really gain agility in their application deployment. But, let's start for a second, without getting too fanatic, you say hybrid cloud. What does that mean to your customers? You know, RedHat has a long legacy of, well, lives everywhere. So, public cloud, private cloud, hosting provider, all of the environments, you, RedHat, Enterprise, Linux, can live there. So in your space, what does hybrid cloud mean? >> So, hybrid cloud, I think follows a model of real. It's everywhere. So it's having OpenShift run on top of that and being able to have the application portability that you would expect. Along with the application portability, which is my focus, is having the data agility within those applications. >> Alright, how do you wind up approaching a situation where an app is now agile enough to move between providers almost seamlessly, without having it, I guess, descend down to the lowest common denominator that all providers that it's on are going to provide? I mean, at some point, doesn't that turn into treating the cloud as a place to just run your either instances or containers, and not taking advantage of, I guess, the platform level services? >> Sure, so I think that the API should expose those choices, I don't think it's a one size fits all when we talk about, you know, if you move your application maybe your data doesn't necessarily have to move. So part of the core functionality the Federation is meant to provide, which has been renamed Kubefed since Summit, is that you have the choice within that. And, you know, defining policies around the way we do this. So, perhaps your application is agile enough to span three different clouds, but due to data privacy, you want to keep your data on prem. So, Kubefed should enable you to have that choice. >> You know, so you know, help us dig down a little bit in the storage, you know, environment here, you know. >> Sure. I go back and I worked for a very large storage company that was independent before it got bought for a very large sum of money. But, we had block and file storage. And mostly, that you know, lived in a box, or in a certain application. >> Right. You know, the future, we always talked that there's going to be this wonderful object storage and actually it's designed to be, you know, we'll shard it, we'll spread it around >> Right. And it can live in lots of places. Cloud, a lot of times has that underneath it, so you know, have we started to you know, cross that gap of you know, that mythical nirvana of where say, you know, storage should actually live up to that distributive architecture that we're all looking for. >> Right, so with Kubernetes, the history is, we started off with only file systems. Block is something very new within the last couple releases that I actually personally worked on. The next piece that we're doing at Red Hat is leading the charge to create CRDs for object storage. So it's defining those APIs so customers can dynamically provision and manage their object storage with that. In addition, we recently acquired a company called NooBaa that does exactly that. They're able to have that data mobility through object buckets across many clouds doing the sharding and replication with the ability to dedupe. And that's super important because it opens up for our customers to have image streams, photos, things like that that they typically use within an enterprise, and quickly move the data and copy it as they need to. >> Yeah, so I've actually talked to the Noovaa team. I would joke with them that, didn't they deduplicate, couldn't they deduplicate their name 'cause it's like Noovaa. >> (laughs) yeah. >> So you know, plenty of vowels there. But, right, storage built for the cloud world is, you know, what we're talking about there. >> Right. >> How's that different from some of the previous storage solutions that we've been dealing with? >> So I think before, we were trying to maybe make fit what didn't work. That's not to say that file and block aren't important. I mean, having local storage for a high performance application is absolutely critical. So I think we're meeting the market where it is. It's dependent on the behavior of the application. and we should be able to provide that. And applications that primarily run in the cloud and need that flexibility, we should be offering object as a first-class citizen, and that's why our work with those CRDs is really critical. >> What is the customer need that drives this? Historically, with my own work with object stores, I tend to view that as almost exclusively accessed via HTTP end points. And at that point, it almost doesn't matter where that lives, as long as the networking and security and latency requirements are being met. What is it that's driving this as making it a first-class citizen built in to Kubernetes itself, the Rook? >> So it allows us to create the personas that we need. So it allows an administrator to administrate storage, just like they would normally with your persistent volume, persistent volume claims and quotas. And then it abstracts the details of, for instance, including that URL in your application. We use a config map within the app so the user doesn't have access necessarily to your keys in the cloud. It also creates a user so you're able to manage users like you would normal objects, which is a little bit different than the PV PVC, and that's why we feel like you know, it's important to have a CRD that defines object in that sense because it is a little bit different. >> All right, so Erin, is this Rook we're talking about then, is, you know, Rook, did I understand, I think got to 1.0, just got released. >> Yeah. >> You know, give us the update on what Rook is, you know, how that fits with this conversation we've been having. >> Right. You know, where we are with the maturity of it. And Rook, as was on the keynote this morning, you know, is a great CNCF project with a really healthy community behind it. One of the provisioners we've created as part of those object CRDs is a Rook provisioner for CEF block, or excuse me, CEF object. We also have an s3 provisioner. So, you know, we hope to have, just like we had external provisioners in Kubernetes, use, you know, allow for the same contribution from the community for those. >> Okay, yeah, there, I remember a couple of years ago at the show, this fixing storage for containers in Kubernetes was something that was a little bit contention in there, and there were a few different projects out there. >> Right. >> For that, you know, where are we with that? We understand that it's never, you know, one solution for every single use case. You know, you already talked about, you know, block file and object. >> Right. >> And how there's going to be a you know, a spectrum of options. >> Sure and so I think there's lots of things to fix. >> Yeah. >> When you talk about that. One of the key things that Rook offered was the ability to ease the deployment of the storage and administration of it, and, as you know, Rook you know, has a plethora of different storage systems that it provides. And, you know, what we're really pushing at RedHat, which I think is important, is having, you know, operators. Like the operator hub that was released with OpenShift 4.0. Rook will be an operator in there. So what that allows is for more automation and true scaling. 'Cause that's where we want to get to with hybrid cloud. If you're managing 10,000 clusters, you cannot do that manually. So having Rook, having operators, and automating the storage piece underneath is really critical to make it now-scale happen. >> Forgive my ignorance. When you say that Rook winds up exposing, for example, now an object store underneath. Is that it's own pile of disks on a system somewhere that it's running? Is it wrapping around object store provided by other cloud providers? Is it something else entirely? What is the, where do the actual drives that hold my data, when I'm using Rook's object store, live? So with Rook today, the object storage that it uses is CEF object. So it exposes the ability to create, you know the CEF components underneath, which Rook can lay down and then expose the object piece of that. So that's the first provisioner in there, yep. >> Wonderful. >> Alright, so I guess when I think about object storage, for years it's been, well, I've got s3 compatibility. And that's kind of the big thing. >> Yep. Is Rook s3 compatible then? Is it, you know, giving more flexibility to users to make this the standard in a cloud native environment? Help us, you know, put a fine as to what this is and isn't. >> Yeah, that's a great question, actually, and we get asked it often. So one of the first provisioners we did is just a proof the concept was an s3, a generic s3 provisioner. And of course, CEF is s3 compliant, so it also does that, but you know, there isn't a standard for object. So most providers of object are s3 compatible. We found it very easy to take off the s3 provisioner we created to create the CEF one. There wasn't much differentiation, which means it's a great pattern for anyone to want to onboard. >> Yeah. Do you find that as s3 itself, and of course, it's competitors of other cloud providers, become more capable, you're starting to see differentiation. Now easy example would be with some of the object storage tiers, where there's increased latency on retrievals. In some cases, as little as five minutes, or as much as 12 hours. Other providers, like Google Cloud, for example, or Azure, have consistent retrieval times on their archive storage. As an easy example, is that something that you're going to start seeing divergence on as object storage becomes smarter by, I guess, all of the providers as they race each other to improve their products. >> Absolutely. I think tiering is one of the facets of object that's really critical. And you know, of course, as we spoke earlier, it's physics, you know, and having data consistency at that very low threshold is important. So, you know, using the storage for what it's worth. Using the best tools, and pulling object into the ecosystem is part of that. >> Yeah, Erin, is there anything that differentiates kind of Kubernetes storage from, you know, what people are familiar with in the past? >> I think Kubernetes storage continues to evolve. The more we learn about how people use Kubernetes, and their needs, I think we listen closely to the community and we develop against that. >> Okay, I guess the other thing is, you know, what kind of feedback are you getting from customers? Where are we along this maturation journey. You know, my history is you know, I worked when we had to fix networking and storage in virtualized environment, and it took about a decade. We're five years into Kubernetes. It feels like we've, you know, accelerated that based on what we've done in the past, but you know, definitely, you know, when it first started, it was you know, let's put stateless stuff in containers and you know, storage will be an afterthought. >> Right. >> Or something that was kind of a side car over here where you had your repository. >> Right. And I think that's the beauty of Kubefed, is that in order to have true hybrid cloud, and have Federation, we have to come together in consensus with both network compute and storage. So it really brings the story full circle. >> Perfect. What do you think right now customers are having their biggest challenges with, as they start wrapping their minds around this new way of thinking? I mean, again, it's easy for a tiny start-up, it's Twitter for Pets, or something like that, to spin off in a pure cloud native way, but larger companies with this legacy concept known as a business model that might involve turning a profit, generally predate cloud, and have done an awful lot of stuff on the data center. What are they seeing as currently being limiting factors on their digital transformation? >> So with Kubernetes just being five years old, as we celebrate the birthday today, I think customers are also maturing. You know, they're entering the landscape, learning about Kubernetes, learning how to containerize, you know, lift and ship their applications, and then they're running up, to costs, right? And lock-ins and things they want to avoid. And that's really where we in the community want to provide a platform and a runway for them to have that choice. >> Alright. Erin, any customer successes that you can share with us, either about the operator or about work specifically? >> Certainly not with Federation. We haven't released it. It will come out in OpenShift 4.2, so we don't have any customer success stories yet, but I would say definitely it's a request, and you know, we're asking customers about it, and if they're interested. And you will find many times maybe they're not familiar with the word Federation, but they're definitely interested in that use case. >> Okay, how's the general feel. You know, what kind of feedback are you getting from customers so far, things that you're excited about that are happening here at the show? >> I'm just excited that Kubernetes is kind of growing up. And it's you know, becoming a true enterprise-level project that customers rely on, and build their business on. >> Well, Erin Boyd, really appreciate you joining us, sharing all the updates. Look forward to the upcoming release, and definitely get to follow up with you soon, to hear about those customers as they start rolling it out. >> Alright, great. Thank you. >> Alright. For Corey Quinn, I'm Stu Miniman, here at KUBECON, CLOUDNATIVECON 2019, Barcelona, Spain. Thanks for watching theCUBE (techno music)

Published Date : May 21 2019

SUMMARY :

Brought to you by RedHat, in the office of the CEO of RedHat. Tell us a little bit about, you know, your role, you know, with both public and private cloud offerings. that you would expect. but due to data privacy, you want to keep your data on prem. in the storage, you know, environment here, you know. And mostly, that you know, lived in a box, you know, we'll shard it, we'll spread it around cross that gap of you know, that mythical nirvana and quickly move the data and copy it as they need to. Yeah, so I've actually talked to the Noovaa team. So you know, plenty of vowels there. And applications that primarily run in the cloud in to Kubernetes itself, the Rook? we feel like you know, it's important to have a CRD we're talking about then, is, you know, on what Rook is, you know, how that fits So, you know, we hope to have, at the show, this fixing storage for containers For that, you know, where are we with that? And how there's going to be a you know, and administration of it, and, as you know, So it exposes the ability to create, you know And that's kind of the big thing. Help us, you know, put a fine as to what this is and isn't. so it also does that, but you know, Do you find that as s3 itself, and of course, And you know, of course, as we spoke earlier, to the community and we develop against that. Okay, I guess the other thing is, you know, over here where you had your repository. is that in order to have true hybrid cloud, What do you think right now customers are having to containerize, you know, lift and ship their applications, Erin, any customer successes that you can share and you know, we're asking customers about it, You know, what kind of feedback are you getting And it's you know, becoming a true and definitely get to follow up with you soon, Alright, great. Thanks for watching theCUBE

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Erin Banks, Dell EMC | Dell Technologies World 2019


 

>> Live from Las Vegas, it's theCUBE! Covering DELL Technologies World 2019. Brought you by DELL Technologies, and it's ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with John Furrier, day two of theCUBE's coverage of Dell Technologies World 2019. We have been talking with lots of great folks the last couple of days, and we are pleased to welcome to theCUBE Erin Banks, Director of Product Marketing for DELL EMC. Erin it's great to have you on theCUBE. >> It's great to be here, thank you so much. >> So this is the second branded DELL Technologies World. The first one since DELL became a publicly traded company once again. But you have a storied past of all this experience with a lot of these brands. Give us a little bit of your background as you've made your way through all these companies, and left your mark. >> Yeah, I feel like I've hit just about every corporate conference that we have under DELL Technologies, 'cause I came in originally through RSA around 2006, and then that acquisition happened, and then I transitioned over to EMC. So then we started the whole EMC World before, RSA Conference, EMC World. Always continuing to support security. Always continuing to do that. Went to VMware, they're doing the support security. We had a Vspecials program, so we wanted to sell EMC products for VMware products. So we continue to do that. So I think there's VMware and then I came back, I left for a little bit and then I came back. So I always joke that I have four companies I think left, and I would've had like, I think I get an award for having worked at every seven of the companies. (Lisa laughs) >> At least a mug, right? >> Yeah, I should get something I think. >> You should. >> Yeah, I think so. A jacket. >> Alright, so what's your current role now? So you're working in what group? Where are you now? >> Yeah, so right now I'm focused on structure, storage, divisions. So that's going to be Isilon, ECS, ClarityNow and the project Nautilus, and we're focused from a marketing perspective. I'm the Director of Product Marketing for that group. >> Yeah, storage didn't get a lot of keynote coverage. Normally they do get a lot with the EMC, 'cause obviously there's a lot of things going on around Dell Technology World, but Michael Dell said, storage isn't stopping, 'cause you have more data coming in. So unstructured is a big part of it. >> It's huge. >> Whether it's social data, gestured, any kind of Data Exaust, IoT, data is data, right? And the unstructured is the large growing percentage of the overall data population. >> Yeah, I think somebody gave me a statistic that 80% of the data that's generated is unstructured data, right? And people need to keep it and they need to, in some situations like Thomas Driving Systems, they need to keep it for a very very long time. So, there's always that debate of all these years that I've been at these conferences, about how long you keep the data, and obviously archiving them and where are you moving them, giving the customers the options. We're still obviously talking about that, which is great, but now we just have more and more data. Now it's really, from an Isilon perspective, we're focused on the management, and also the real estate, right? Because there isn't just every amount of space that every data center can have. Customers are running out of data center space, and they're running out of people, right? And they're like, listen, I can't hire anymore people, I want to focus on the business, and that's what we support from an Isilon perspective, is focusing on the business. I mean we obviously focus from all of UDS, but our announcements today were a focus on Isilon. >> So large growth, okay, but with the habit of, okay, just store it, we'll get to it later, it's been a nice luxury with unstructured, because some of the technology allows you to store it. Some call it a data lake or data swamp, depending on how you look at it. Now that the focus is getting more out of the data, while still storing it, right? Just throw it into the pile or into the corpus or into the data lake or whatever storage it is. Getting the mechanism to get the data out, and making it relevant and valuable is a focus. What's going on there? What are some key trends that are happening that you guys are riding? >> Yeah, well we're talking a lot, we have a campaign around data capital, right? And obviously as we all know, data has a lot of value within organizations. I'd like to tell customers that data has more value than we do as the employees. Companies will get bought and they'll fire the people, because they just want the data. And we can't ignore that fact, right? What does it say about the businesses customers? What does it say about their likes or dislikes? What does it say about where the company needs to go? The only way you know, to be successful, I think, in the next three to five years is to understand your customers and what they need, right? We had a bank the other day that was like, well all of our customers are 50 years old, so we're not going to do applications, and we don't really care about our data, and you're like, but you have people that are coming up behind that are using applications, right? That want more of a service. It's no longer, I say to banks, you don't need to buy another bank, right? You need to provide a service to me. How do you get that value out of that data to understand who I am as a customer or what I like, where I travel, what do I do in my day to day life, and give me that service, so I continue to be a customer for you. That's essential. >> It is essential. We talk about customer experience a lot. It's absolutely essential, because whether we're consumers of banking services or retail or whatever it is, we have so much choice. >> Correct. >> And especially with social media, I talk about unstructured data, we have a voice and the opportunity to get that out there, and go in turn. So really evaluating that data and understanding, and making decisions on that data to deliver a personalized experience is table stakes. >> Yes, I mean, we talk about this all the time, about the markets that are not doing it. Like retail, right? They always talk about, everyone wants to go to Amazon and buy their clothes or now there's boxes that are coming to your door with all the clothes in it. So how does the real estate business stay essential to me as a buyer, we all need clothes, but what gets me back into the store, right? And we talk about the sensors, right? We talk about the data that is generated of just me walking around the stores. How long do I spend in front of an item, right? Can I have a coupon that's popped up on my phone, right? How do I get more from an experience. And I think these are the struggles that organizations are having. We were talking to a customer that's managing a sports arena and the biggest thing is, how do you get them back into the arena? How do you change their experience, because they're a Canadian company, they don't want to be standing outside in the cold, 'cause it's hockey season, everyone loves it. How do you get them in earlier, because now there's more security, right? We have this, I always call it the physics effect, right? You have one change, it ripples into everything else. So it's cold, the security lines are long, I'd rather be at home watching this. How do I get that experience? And these are the partnerships that are being created with companies like athletic companies, and sports arenas and sports teams and things like that to really change an experience that we have, and the only way you could do that is with data, right? The enormous amount of data that we have. We couldn't do that if we didn't have the data. >> So what do they just come up with a better solution, not standing outside and getting in quickly? >> Yes, so, yeah we talked about this, right? We did a great podcast about this, because they're now doing these programs where they'll bring you in earlier, right? So maybe they'll have dinner and of couple beers, right? And you can come in and kind of enjoy the arena when no game is going on, but you get in earlier out of the cold. They talked about buying retail from your seats, right? And they test it out. That wasn't successful. So it's a really good kind of option along those lines. People like to walk around and look, and they touch and feel the items, and look at all of their options. So these are great things that they were able to test. The digital signage has been a huge impact from an analytics perspective. Really being able to change it. The amount of growth that organizations have achieved from just digital signage has been enormous. So, they're really transforming their businesses in different aspects, and it's all really driven from the data. >> So what's going on with the products that you guys are doing? What's the value proposition for Isilon? Where's the focus for you now? >> Yeah, so, we're always continuing to just answer the questions that our customers are having. Which always comes down to the amount of data that we have, how to continue to manage that, and then how to manage it in this data center. So we had a release today, which were focused both from a software aspect as well as a hardware aspect and now our software of OneFS, so it's still the single file system, is not being able to scale out to 252 nodes. It was 144 before. Now it's 58 petabytes. And what I love most about that is, how you manage 58 petabytes is exactly how you manage a terabyte. I mean that's important to a customer, where they're saying, I could easily add storage within a minute, I don't have to worry about it, and I have the same amount of people managing the system. I just have to focus on the workloads, and I just have to focus on the applications. And then our customers are saying, again, we're running out of the real estate, how can you give us a more dense box, right? We need the performance of a hybrid, but we need the capacity of an archive systems, again, we need to be able to do more with less almost. So we introduced the H5600 this week or today. And really just being able to give our customers what they need to really continue to drive their business forward. I always say, it's always about the workloads, and the applications. I'm inspired by what our customers are doing. They're just doing these innovative tools, and work and everything, because no longer they're being constrained from an IT perspective, right? The technology is now doing the heavy lifting, and now we're able to really utilize the data for what it's worth and getting the most out of it. Which I just love that, right? I think that's important to businesses. >> Put today's announcements in the perspective of the Workforce. We've talked a lot about Workforce the last couple of days, about really enabling businesses to do so much with this distributed Workforces, but in terms of Workforce optimization, the density that you just talked about, what are some of the immediate impacts that customers are going to realize that's going to, besides productivity improvements? >> Yeah, again, I've had direct conversations with customers, it was like an autonomous driving system, and they were saying, listen, again, I don't have a head count, nobody wants to give me more head count. I can't keep doing this. What the business wants to do is, they want to get to market fast. Because if we can get to the market fast, then we can drive that business faster, and that's what we need. How can you help me? And that's what I love about, not only the unstructured data conversation, but the Isilon conversations that we're having is like, how can you help my business? Well okay, we understand that there's struggles. Again, no data center, don't have the head count, they'll give us developers, right? They want to drive in these other markets, right? And then were saying, great, we'll continue to drive this one file system capability, but give you this enormous growth, and really continue to drive that, right? >> If they get revenue, they can get head count. So this I back to >> Correct. >> the cloud model of, let's get some value out there quickly, time to value. >> Yeah, and then the question is, where is the optimal head count that you need? Is it to do with somebody just continuing to rack and stack. Or is it someone that's really going to get the value out of that data, continue to push that, to test the systems. Again, they want to get to the market first. How can we enable that? How can we really help them to do that? That's our goal. >> So talk about customers and their receptiveness for AI. We hear a lot about it all the time, but really looking at, we talked about the volume of data, we could talk about that for days and days, but really enabling customers to harness the power of AI machine learning to extract the insights. Where are those conversations going with customers as it relates to Isilon and some of the things today, but just in general, where's there appetite with respect to being ready to harness the power of AI? >> We ask this question a lot about where are we in the AI landscape, right? And some customers are really focused on that, but they have a completely different model than some of the companies that have been our traditional companies that we've been kind of like focused on. So it's kind of a between the both, right? I think a lot of it, in my opinion, a lot of it has to do with the culture, right? It's a completely different way of thinking about a business, and it's a completely different way of focusing on, not only your data, but like the data management. You know with the joke about a data swamp, cleaning the data, having a business focus that's driven specifically from data is a culture change. And not a lot of people are willing to have that culture change. New companies can do that, 'cause that's how they developed the company, right? But when you see some of the companies that we've all been a part of for all of these years, that's not that easy. So, in the little baby steps, which is why I love telling those customer stories, so I'll be like, listen, this is possible, this is not just fake, we're not just fairies floating around us, right? This is truth capablities-- >> It's real transformation, that's the theme. The developers are a key part of this. This is something that we've seen. Developers using data as part of their application. Making that addressable, making it fast access is one, that's awesome. The other interesting dynamic that I want to get your thoughts on, because you have a security background is securing data and also governance or also driving use cases in applications that might not have been foreseen. We're one year into GDPR, and I don't think really anything's changed, but, I don't want to go on that rant, but now you have other regulatory things that's saying, hey, you know what, we might have to deal with the data differently. So how is Isilon enabling that? Is it just another use case? >> Yeah, I mean it is absolutely just in another use case that we're just going to have to focus on from the aspect of what's the implication. What are their customers looking at? When we talk specifically about GDPR, that's fairly new, right? We're just trying to figure this out, and trying to look at those different kind of aspects. A lot of that was also the right to know, and right to remove, and saying, what do you know about me and how do you kind of manage that? So a lot of that is really focused on a data management aspect and it's not just from Isilon, but it's, how do you manage it, right? So the ClarityNow capabilities that we have, right? This product that we were able to acquire, that really will give you that great insight into your data, so you can make those decisions, it says, alright, well this is all of our information on Erin Banks, this is her likes, dislikes, whatever that information has, right? We're able to really manage that a lot better, and the data management is the really next important step of the data collection, the data processing. It's understanding what you have, because it all comes in, but it doesn't add value until you really know what you have and what you don't have. Because even from an analytics perspective, you might have to supplement that data from some other resource. Maybe you need to change the application, and get additional data. This is all really driven across that same kind of aspect. This is the same conversation, and we'll just continue to fuel that and have that, and enable them to do that. That's why I say, we want to inspire our customers to be like, wow, I didn't realize that I could do that with tech, right? And then start enabling them to be innovative, and that's what we're still continuing to do. >> What's one of your favorite stories of, we had talked about your tenure within the Dell Technologies family when we first started, but looking at today in 2019, every company is a tech company or has to be. If you look back over the last 10, 12 years, what's some of your favorite stories of how this company Dell Technologies has enabled, and it's companies, a surprising customer to become a tech company? >> Yeah, and I think the number one thing that I personally love, right? That keeps me here. That brought me back, right? Not only was it just 2006 and staying, but said, I want to go back to that, is because what I really feel is, our experience that we have across every market, right? The geographies, the struggles that customers are having, and what we're able to learn from them, and really help our customers excel. It's not just us selling products, right? It's not just selling services, it's not just selling software, right? It's us trying to get out there and saying, this is how other customers are using it, this is how they've been successful, this is where they've downfall, lets help you, right? As we're trying to bring companies further along on their business journey, and we're saying, we've worked with customers to do this, we'll continue to work with you to do that, and we can do it across all seven of these companies end-to-end. It's a very impactful capabilities across applications, security, which is incredibly important, right? IT and Workforce and all these individual transformations, and that's what I think is a passion, and the best part of what we do. >> Well Erin, thank you so much for joining John and me on theCUBE this afternoon, and walking us through some of these key things, helping customers of any industry really excel, and unlock the capital in their data. We appreciate your time. >> I appreciate yours, thank you so much. >> Our pleasure. For John Furrier, I'm Lisa Martin, you're watching theCUBE live day two of our coverage of Dell Technologies World 2019 from Vegas. Thanks for watching. (upbeat music)

Published Date : May 1 2019

SUMMARY :

and it's ecosystem partners. Erin it's great to have you on theCUBE. and left your mark. every corporate conference that we have Yeah, I think so. ClarityNow and the project Nautilus, storage isn't stopping, 'cause you have more data coming in. And the unstructured is the large growing percentage and obviously archiving them and where are you moving them, because some of the technology allows you to store it. in the next three to five years We talk about customer experience a lot. and making decisions on that data to deliver and the only way you could do that is with data, right? and it's all really driven from the data. and I just have to focus on the applications. the density that you just talked about, and really continue to drive that, right? So this I back to the cloud model of, Or is it someone that's really going to get the value but really enabling customers to harness the power a lot of it has to do with the culture, right? but now you have other regulatory things that's saying, So the ClarityNow capabilities that we have, right? every company is a tech company or has to be. and the best part of what we do. and walking us through some of these key things, of Dell Technologies World 2019 from Vegas.

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Erin Gregor & Syya Yasotornrat, Innovation Calling | CUBEconversation, March 2019


 

(upbeat music) >> From our studios in the heart of Silicon Valley, Palo Alto, California, this is a Cube conversation. >> Welcome back, everybody, Jeff Frick here with the Cube. We're in our Palto Alto studios today for a Cube conversation, kind of an interesting conversation around trying to connect big enterprises who are always trying to be innovative with small companies who are usually innovative but don't necessarily have the connections the big companies that have a little bit more resources and might be interested in the things that they're working on. Really doing that through podcasts, which is a really growing venue. It's been going on for a while, but we're seeing a big uptake in, I think, the consumption of podcasts, who's doing podcasts, the brands behind podcasts. So we're really happy to have them all the way from Texas. It's Erin Gregor and Syya Yasotornrat, the cofounders of Innovation Calling. So welcome. >> Thank you for having us. >> Thank for having us. >> Absolutely, so did I get the description right of Innovation Calling, or give everyone kind of your overview of what you guys are up to. >> Yeah, so Innovation Calling was developed with the fact of there's, being in Dallas, we've got a lot of large corporations with innovation labs. They're trying to stand out. They're trying to connect with great talent, but a lot of these people, everybody's got an innovation lab, and we've talked about this before. If you're in the Fortune 500, you are a tech company whether you like it or not. And so we just saw this potential to highlight these companies to be able to hopefully get talent. And then on the other side enterprise companies are trying to connect with start-ups, established start-ups, not ideas, but established and there's a lot to sift through. Hopefully the goal of the podcast is to highlight these companies and help with that sifting and help with the talent pool and really connecting the creators with the companies that are trying to create. >> What's kind of the objective of that matching 'cause clearly it's not a hiring, you're not a hiring service. >> Right. >> You're talking about companies, not people, so what's kind of the objective? What's kind of your best case if this connection works? >> So for us our best case scenario is, obviously, we are at the forefront of innovation with emerging technologies today. Obviously Silicon Valley has a lot of talent and a lot of corporations already in that space, but when you think of the mid-tier, second-tier cities like Dallas, for example, you don't have as many tech workers, but there's still need for that type of talent, right? >> Right. >> With podcasting as our venue and medium to communicate that, we also realized that there was a great potential for these corporations to leverage podcasting as a way to communicate and do their outreach. Again, we're on those mid-tier second-tier cities where you might not have the plethora of folks here in the Bay Area. >> Right, right, but even if they connect with that company, are you thinking that there's going to be some type of technical alliance, some type of partnership, an OEM agreement, or what again kind of if you're pitching this to the small company, what am I like "Yay! You're finally getting" Ya know I listened to your podcast the other day. You had a woman on from Erickson, and I'm building some 5G widget. What's kind of my anticipated outcome of participating and kind of following your funnel and connecting with Erickson? >> So we have a couple of different ways. First of all, we can through us, we've actually made a lot of handshakes, so that's what I love to do is help create the handshakes and we've done that personally. The other side is we are taking the next step and doing live events. So that podcast that you talked about was a series of women in tech leadership where it's not just a live podcasting event but a networking event. So we're really taking the next step in creating these opportunities that you can be in the same room more exclusive type room that we're putting together, a lot of invite only perspective, but helping to make those connections where I see somebody from Erickson is going to be there, I want to make sure and now I can actually be in person and make that happen too. >> Okay. Why podcast? How did you come to use podcast as kind of your medium? >> So I think there's been a tradition in the last five six years that podcast does have the potential to blow up. I think now in 2019 we've actually hit that threshold where there's actually consumer response and with enough studies what they've discovered is most podcast listeners are actually educated business professionals. They tend to lean towards technology, yet you don't see a lot of technology-branded podcasts. And so we looked at the market. A lot of hobbyist type and personal branded podcasts, but we think now is the right time for corporations to make the investment to understand that the medium of traditional advertising is actually evolving and podcast is leading that forefront. You're seeing a lot of huge investments. Actually here there's a hundred million dollar plus investments for the purpose of growing the podcast community. >> Is that for the infrastructure? Or is that for the actual talent and the community and the content generation? >> Yes, the answer is yes, it's everything. (laughter) A company that does a lot of production but builds the community too. >> So I listen to Malcolm Gladwell's all the time. We got to interview him at Quickbooks Connect a couple years ago. You know, really interesting podcast. There's guys like Joe Rogan and stuff that obviously got a ton of great pub when he had Elon Musk on, who smoked not really a joint but kind of a joint and that, but I'm curious on the business side, are there some kind of lighthouse podcasts that you guys see that you use either as an example for what you're trying to develop or as an example to show? I'm just going to keep using Erickson just 'cause it's top of mind from what I just watched. To show them to say hey this is the type of thing that you guys should be trying to do. Who are some of your favorites? >> I'm a big fan of Hackable McAfee that has rolled out. When you think of tech branding and that is what we do focus on is technology based corporations, we tend to lead toward speeds and feeds. That's kind of our, we're engineered background folks in general, right? But I thought Hackable does a great job of pulling in some technology but then using stories or using events of being hacked, for example, something that the audience can relate to. And it's a storytelling, and that's the story arc that I think in general we're helping corporations understand the value of storytelling. It's not just about a product. It's not just selling a cup per se, but the story around it. How good that cup of coffee will feel when you drink it or you know, the experience or memories that you have it evokes. >> So how far are you along on your journey? You have a number of podcasts up already on your site. Are you the first inning, the third inning, is this still kind of early days or where are you in your development of your concept and your company? >> Well, we have a couple of different components to our business, so the podcast has What I was telling you about too we have a network component, we've got a consulting services. Our goal for Innovation Calling was let's first prove the concept. Let's plug into a network. Let's make sure we We'll be the test case essentially, and we've proven that. So from that perspective of that component, we're hitting, we're almost at 100,000 downloads of our podcasts. You know, we're doing pretty well with that. And now as we build it's the next component, so we're bringing on a couple customers from a consulting basis and we help not just with the production but with the promotion. So you spoke earlier about, I always kind of look at if the tree falls in the forest but no one was there to hear it, did it actually happen? I feel that saying fits with a lot of corporate podcasts. They're out there, but no one knows they're out there. So are you going to continue spending that kind of money on production and time with your employees if you're not going to do anything to promote it. And no one knows it exists? So we help on both sides of that scale. >> So on your podcast, which has been the women in tech theme, is that kind of the theme you're going to continue, or is that kind of a launching thing and you're going to turn into other themes? >> That's just a component. So Innovation Calling, there's men on the actual podcast. But we started that specific series to yes talk about the technology perspective of women, but how did you get there? What's your story of growing? So that's just a segment of that podcast again to bring in to really theme the live events to help grow that community on a segment basis? So as that grows, our goal is to do a couple different other types of segments. We talked about a channel. The idea of that yesterday with a client, so we want to actually take the bigger part of Innovation Calling and niche it down bit by bit on the live event scale. >> And then on the event side, how often are you doing them? What's the format, how many people, frequency, and what's the format? >> Syya is ready to go. >> She's ready to go. >> Let me tell you, I'm ready to go. First off, there's wine and hors d'oeuvres, so if we can't wine you and dine you I suppose, but no, really again we're about building community first and foremost. The Dallas Fort Worth area is making great strides in the entrepreneurial side. Big investments to get major corporations to come in the area, so we think this is a great opportunity for these folk to come together. A lot of folks from outside of town, who are looking to build their network again because they've been relocated. And then, you know, our themes. Women in technology is our first theme because, quite frankly we're sort of biased a little bit towards that. >> Well it's a good theme. >> Got to help our people. >> But again it is a very casual format right now. It's interview-based. >> Is it a hundred people? Five hundred people? >> We actually started and we want it to be intimate. We want the value of the network to actually make genuine connections as opposed to if it gets too large, I feel like some individual might be left off the side. So we actually started off our very first one that sold out was forty people and we did not want more than that in a room. Quite frankly then it gets claustrophobic. >> What about frequency? >> Once a month. >> Once a month. >> Our goal is to keep the size about 75-100 of those, max out at 100, but make sure to Syya's point keep them at an intimate scale. >> What about geography? Obviously you guys are based out of Dallas Fort Worth area. You're here in Silicon Valley. What's kind of your geographic plan? How do you see this kind of evolving? >> Absolutely. We would love to share this across the United States. Again we want to make sure Dallas is viable, proves a point. It is a second-tier city versus something like the Silicon Valley area or Chicago, New York, etc. We are not trying to create a brand new women in technology group, if you will. We're actually working in collaboration with existing women technology groups. We're just simply leveraging the networking opportunity through live podcasting. Again, growing the podcast medium. >> Yeah, I would say by early 2020 our goal is to be in, to come out here and to be able to have an audience to do a live event. We actually had drinks with someone last night about that collaboration, so we'd love to grow it on a perspective and be able to do it in different communities 'cause I've been podcasting for about five years through other businesses and the live event, it's just really. I mean you know you do live interviews. >> I do a lot of live events. >> There's just something special about that connection and then being there live to do the interview. It's a really fun format. >> Right. So do you have any upcoming guests you can plug or share with us today on your next couple podcasts? >> Our next event is actually April 9th. (laughter) (mumbles) April 9th and we're going to have Crystal Christensen, VP of Tech Support at SonicWall. We're very excited to have her onboard. We're still in confirmation, but we're going to be expecting folks from SalesForce, HPE, and Facebook for our next events. >> Okay, great. Where do people go to listen to the podcasts? >> Innovationcalling.com >> All right. Well Syya, Erin, thanks for stopping by. Hopefully you have a good successful couple of days in Silicon Valley and safe travels home. >> Thank you. >> Thank you very much for having us, Jeff. Appreciate it. >> She's Erin, she's Syya, I'm Jeff. You're watching the Cube. We're at our Palo Alto studios for our Cube conversation. Thanks for watching. We'll catch ya next time. (upbeat music)

Published Date : Mar 28 2019

SUMMARY :

From our studios in the heart and might be interested in the things Absolutely, so did I get the description right the creators with the companies that are trying to create. What's kind of the objective of that matching and a lot of corporations already in that space, to communicate that, we also realized that there with that company, are you thinking that there's So that podcast that you talked about was a series of women How did you come to use podcast as kind of your medium? of growing the podcast community. but builds the community too. that you guys see that you use either as an example the experience or memories that you have it evokes. So how far are you along on your journey? I always kind of look at if the tree falls in the forest So as that grows, our goal is to do a couple different so if we can't wine you and dine you I suppose, But again it is a very casual format right now. I feel like some individual might be left off the side. Our goal is to keep the size about 75-100 of those, What's kind of your geographic plan? We're just simply leveraging the networking opportunity and be able to do it in different communities connection and then being there live to do the interview. So do you have any upcoming guests April 9th and we're going to have Crystal Christensen, Where do people go to listen to the podcasts? Hopefully you have a good successful couple of days Thank you very much for having us, Jeff. We're at our Palo Alto studios for our Cube conversation.

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Erin Yang, Workday | Grace Hopper 2017


 

>> Announcer: Live from Orlando, Florida, it's theCube! Covering Grace Hopper's celebration of women in computing, brought to you by Silicon Angle Media. (upbeat techno music) >> Welcome back to theCube's coverage of the Grace Hopper conference, here in Orlando. I'm your host, Rebecca Knight, along with my co-host, Jeff Rick. We're joined by Erin Yang. She is the VP of Technology Product Management for Workday. Thanks so much for joining us. >> Of course, thank you for having me. >> So tell us a little bit about what you do at Workday and what are the most exciting projects you're working on right now? >> All right, so I lead up our Technology Product Management team at Workday, and so for those of you who might not have heard of Workday, we are a leading cloud provider for financial management, human capital management, analytical applications. Been around since 2005, I've been there for the last six years and I would say the technology is such an exciting part of the company and one of the things that really drew me there so a lot of people don't the original story around workday but when we started we had this amazing mix of really experienced leaders who had been in the enterprise space before, who had built a lot of these products before. Combined with cloud technologies, just taking off and no one had really done the HCM and the cloud before financials in the cloud and so they were able to completely start over, we like to say with a clean sheet of paper, with new technologies but having experience in the industry and build from there. So we have a single technology platform that powers all of our different applications and that's the part of the company that I sit on. >> So you're really in the core technology that's driving the application. Desired technology NOD, ATM or one of the other sets. >> So the things that my team really looks after are security, integration, our infrastructure, the common data model and the common work flow that goes across the different applications. And the fact that we can have a single platform that connects all the applications, makes it so much easier for our customers and that's really been the philosophy of the company, which is customers first. We really focus on making our customers happy and so one of our company goals is always hitting 95% customer satisfaction, which is really unheard of in the enterprise industry when most people are not super happy with those products. And we've been able to hit 97% in the last year that we did the surveys. >> It's an interesting part of the SAS model because unlike a traditional enterprise software sale, they make the sale, they collect the 15%. But you're getting paid monthly I assume and maybe it's an annual contract. So you have to keep delivering value each and every single month cause you don't have this long term, big giant, enterprise license. >> It's a subscription revenue model. It's no more of a you deliver a product, then you don't think about it anymore. It's a continuous partnership with our customers. And I think that's why the relationship matters so much with our customers, they're stuck with us to a certain extent and we want to make sure that they're happy, that they're getting the value that they wanted out of the product and then we can also grow with them. And so one of the interesting parts of our technology is that we actually abstract the application and business logic from the technology itself through a meta data language that we've built out internally. And so we've been able to swap out our persistence technology, change the way that we store data, scale our transactions without our customers even knowing it. So that's kind of one of the beautiful parts of the way that our architecture was designed. >> So it's the architecture but then what else are you doing to hit that 97%. The key is empathizing with your customer. >> We spend a lot of time with our customers, that's one of the big points, almost every single product, every single feature that we build has a design partner program where we literally are with our customers, understanding what their pain points are and figuring out how can we solve those pain points in the product. And on the fact that we're pure SAS, so we just have one version that every customer has. So if we're improving the product for one customer, we're improving it for all of our customers. And so we're able to just focus on that single version instead of splitting our attention across old versions and maintaining old systems. >> So shifting gears a little bit to Grace Hopper specifically. You talked about, before we turned on the cameras that Workday made a big investment in Grace Hopper this year and you brought a huge contingent of people. I think its interesting and I think a lot of people know that there's a lot of hiring that goes on. I don't know that everyone knows as a development opportunity where companies bring large contingents. I wonder if you can speak to one. What is the value that you guys made this investment in this show around people that already work for Workday. >> So ultimately we're here because at Workday, we really believe in diversity, being good for our business, being good for our people. It helps us make better decisions, helps us build better products, we're more creative and it helps the bottom line. I think there's a lot of research out there now. And so at Grace Hopper we think this is the best way because it's such a big event to improve all aspects of the talent pipeline. So it's not just the hiring coming in from college, which we are definitely doing but it's also bringing, we have over 130 employees who came here from Workday and all walks in their careers. So some newer more junior people and some more experienced people. And we really think that the networking that they can do here, the sessions that they can come to to do professional development and learn. One of our sessions is how to get out of that middle management quagmire. How do they continue moving up and forward in their careers. It's not just that entry point into that junior entry level position. >> So what an investment. Outside of your own event, I would imagine that's probably the biggest presence you have at any tech event. >> I think it is, I haven't heard of us having more than 130 people at any other event. And it's a big investment especially because our big customer conference is next week. (laughs) We're all busy with that but this is a important enough event for us, both for college recruiting, both for professional developments and for, like I said, building that network even within the women who are here at Workday because we're a bigger company now and this is a good opportunity for us all to strengthen those relationships and we have eight employees who are speaking in sessions and that's a great experience as well. To get up on stage, to build your presence, learn how to speak and communicate and challenge yourself in that way. >> What would you say has been the biggest challenges in your career and your someone who grew up in the bay area, went to the same high school Steve Jobs, Stanford graduate, working in this industry for a while now. What would you say you've learned along the way in terms of overcoming challenges. >> I would say I've had a lot of opportunities growing up and I would say some of the biggest challenges though are the impressions that people might have of you that you need to overcome >> Okay interesting. >> And so for me it's like, first you start off as a female and so people think you might be leaning towards certain areas and so starting from when I was young I got a rush out of defying expectations that people had of me and maybe that's how I have ended up to where I am today. But I like to surprise people but some people don't like that and so I can see that being a challenge for some women if they're saying I really like math and technology and science and if it gets them odd looks or even just a lack of support, they might, start backing off and start thinking they may be better suited for something else. But for me I actually really liked the challenge, it made me more excited to overcome that and say hey, I can be a woman, I want to surprise more people, I want to get into Stanford and do electrical engineering cause that's not going to be the expected path that others have of me and I want to show that I can do it. And it's been really nice to see more and more female role models who have stories like that. Because then you start making it the norm so that if someone really is hesitant on whether they should or shouldn't be going down that path if they see other women who've been strong and achieved many things that they were able to do that. >> Before the cameras were rolling, you were also talking about your experience at Workday and mentorships and the sponsors that you've received. Can you tell our viewers a little bit more about your experience. >> I think that's been a big part of my journey at Workday. I started off as the product manager for our collaboration team. It was my first time doing product management only six years ago and my manager at that time, he really believed in me and combine that with the fact that we're at a fast growing company we were only 900 people at that point. I told you we're over 7000 now, lots of opportunities were coming up. He was able to say, there's this other opportunity around our extensibility area, which was totally unrelated to collaboration but he's like, you've down well with what I gave you over here, why don't you try this? And it was not something I would personally volunteer for cause I actually didn't think that I was capable of doing it. But he's like, no, I believe in you, I think you can do it, I've already advocated for you that you should take on this role. And so I stepped into it, did a good enough job for them to say, okay we're going to keep investing in her. And that manager continued to really put me forward for other opportunities and then when he switched roles he nominated me to be his successor for leading the whole team and so he's been a really major part of my career progression here at Workday and I think having someone who can be there to advocate for opportunities for you, and also teach you how to navigate and organization, who are the key decision makers, who do you need to influence, what are the relationships you need to build. All of that is such valuable knowledge to have that you may not know otherwise. A mentor might not even be able to do that for you but someone who's really sponsoring you can. >> Well Erin thanks so much for joining us here in the cube, its been great talking to you. >> Thank you so much. >> I'm Rebecca Knight for Jeff Rick, we will have more from Grace Hopper just after this. (upbeat techno music)

Published Date : Oct 12 2017

SUMMARY :

brought to you by Silicon Angle Media. of the Grace Hopper conference, here in Orlando. and no one had really done the HCM and the cloud in the core technology that's driving the application. And the fact that we can have a single platform So you have to keep delivering value And so one of the interesting parts of our technology So it's the architecture but then what else are you doing And on the fact that we're pure SAS, What is the value that you guys made this investment and it helps the bottom line. the biggest presence you have at any tech event. and we have eight employees who are speaking in sessions has been the biggest challenges in your career and so I can see that being a challenge for some women and mentorships and the sponsors that you've received. and also teach you how to navigate and organization, its been great talking to you. we will have more from Grace Hopper just after this.

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Aaron Suzuki, Prowess Labs | Does Hardware Matter?


 

>>Mm. Joining me is Aaron Suzuki, founder and CEO of Prowess. >>Aaron. Welcome. Thank you. Thanks so much for having me. >>Absolutely. Thanks for joining us. So let's dive right in. Tell us about prowess. >>Progress has been around for quite a while. We've been serving the technology industry from the very beginning, almost 20 years. We've always been able to bridge the gap between the story of the product and what it actually does. And a lot of times, there's a pretty fundamental disconnect between what engineering says and what marketing wants to claim. And so this is sort of how we got down this road of getting into testing and validation of products such as we do today quite quite extensively. And >>that's really what we're focusing on right now is this idea of your independence as a lab. And in this particular case, uh, it's a series of tests that you've done for, uh, you know, using Dell hardware combined with Broadcom cards. So talk a little more about that. About that the concept of independence and what that means. >>Yeah. You know, it's important to us that we stay vendor, agnostic, platform agnostic. Um, and there are a lot of things happening concurrently in the industry. A lot of people want to get a lot of work done really fast, and most customers are not sort of vendor exclusive. In fact, we're not sure we know of any. We always try to keep this objective point of view. That is to say that we don't allow our customers to buy results when we're doing quantitative testing. We really are out there trying to come up with a story or a narrative, and that really seemed to be The missing link in all of this is that there are the quantitative houses that do traditional benchmark testing on one side and then system integrators and kind of on the other extreme agencies. That would really do the narrative and the system integrator side build out a solution, but they wouldn't be able to tell you how it would perform. And so reconciling those two things really became challenging. So having a source that would be able to give you that insight that goes beyond just transactions, um, you know, per whatever unit of time and finding some of these metrics in between that we're more relevant to people's jobs. Where was really the inspiration for creating this unique practise that we call prowess? Labs? >>So, Erin, when I think about performance testing, uh, it's very easy to think of it from the perspective that it's a bunch of hardware slapped together in Iraq. You get some engineers, scientists to run some tests. Why prowess? What? What do you specifically bring to the table? That's meaningful? >>Performance testing is usually done in one of two ways, predominantly one way. It's a very academic approach, which says this specific benchmark test run this specific way gives us X. Another approach is more narrative in nature and more demonstrative. And there's this huge gap in between, and that's really what prowess labs exist to fulfil. >>So, Erin, give us an idea of the scale of prowess. How many of these projects have you worked on? How many how many customers have you worked with over >>over time? Um, we do this work with most of the leading global hardware and software manufacturers and a select number of emerging providers as well. So for us, you know, year to year dozens of projects of varying scope and scale. Various projects also running kind of programmatic form where we're kind of iterating constantly throughout the year. Um, so it's It's really a lot of fun for our team members to to do this. And some of them have been doing it for 10 or 12 years in continuity. >>Erin, Thanks for joining us to talk about practise today. >>My pleasure. Thanks for having me. Mhm. Yeah.

Published Date : May 5 2022

SUMMARY :

Thanks so much for having me. Thanks for joining us. And a lot of times, there's a pretty fundamental disconnect About that the concept of independence and what that means. and kind of on the other extreme agencies. from the perspective that it's a bunch of hardware slapped together in Iraq. And there's this huge gap in between, and that's really what prowess labs exist to fulfil. How many of these projects have you worked on? So for us, you know, year to year dozens Thanks for having me.

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Sabita Davis and Patrick Zeimet | Io-Tahoe Adaptive Data Governance


 

>>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 Evita Davis here, as well as Enterprise Data engineer Patrick Simon. They're gonna be sharing insights and tips and tricks for how you can get to know your data and quickly on. We also want to encourage you to engage with Sabina and Patrick. Use the chat feature to the right, send comments, questions or feedback so you can participate. All right, Patrick Sabetta, take it away. All right. >>Thanks, Lisa. 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. A said My name's Patrick Samit. I'm the enterprise data engineer here at Iota Ho. 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. >>I couldn't agree more, Pat. So, guys, what patent? I patent. 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 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 toe walk. You guys through some of those client questions, slash pain points that we're hearing from different industries and different roles and demo how our platform here, like Tahoe, is used for automating those, uh, 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 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 talk to 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 Ho 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 that are always such a joy to deal with. Uh, 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. 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. Uh, and you can leverage to try and make new and powerful relationships within your data. So I hope that answers the first part of your question. >>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 needed toe? Identify what data sensitive. Can I Oh, Tahoe, Detect that. >>Yeah, definitely. Within the i o ta platform. There already over 300 pre defined policies such as HIPAA, ferpa, 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 is 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, so one 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 how you can be sure you're in compliance. >>Um, 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 iota ho interface lends itself to can really help you build that confidence that your compliance is sound. >>Does >>that answer your question about sense of data? >>Definitely so. So path. I have the next question for you. So we're planning on migration on guy. Have a set of reports I need to migrate. But what I need to know is that 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. >>So what I'm looking at here is my entire day landscape. >>Yes, exactly. >>So let's say I add another data source. I can still see that Unified 3 60 view. >>Yeah, One feature that is particularly helpful is the ability to add data sources after the data lineage. Discovery has finished along 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 this 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. Now, this also provides tabular output in case you need it 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 along 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 Meteo use it? Is it accurate? Does it conform to the right format? >>Yeah, that's a great question. I think that is a pain point felt across the board, be it by data practitioners or data consumers alike. another service that iota hope 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, uh, >>so 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. I hope that helps answer your questions about that quality. >>Oh, definitely. So I have another one for you here. Path. So I get now the value of IATA who brings by automatically captured 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. It 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 can 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. Erin. >>Impact. 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 and city 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 as well as 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. >>Um, no, I think actually passed something that pretty well, I mean, just just by automating all those manual tasks, 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. Savita 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 so that you can maximize the value of it. Thanks for watching.

Published Date : Dec 10 2020

SUMMARY :

from around the globe. for how you can get to know your data and quickly on. I'm the enterprise account executive here in Ohio. I'm the enterprise data engineer here at Iota Ho. So we spoke with both your technical and your non technical So I have data kept in Data Lakes, legacy data, sources, even the cloud. Typically, the first step is to catalog the data and then start mapping the relationships Um, So is the data catalog automatically populated? Uh, now, by leveraging this interface, we can start to answer the first part of your question So I hope that answers the first part of your question. And I can see how this could be leverage quickly. to run against their data along for flexibility and efficiency and running the policies that affect organization. policies that apply to my organization? And I think this lends to the collaboration as a team can work through the discovery that before were other than if you were going to be using a human. interface lends itself to can really help you build that confidence that your compliance is I have the next question for you. Yeah, it's a fantastic questions to be toe identifying critical data elements, and the interdependencies within I can still see that Unified 3 60 view. Yeah, One feature that is particularly helpful is the ability to add data sources after the data Does it conform to the right format? hope provides is the ability to write custom data quality rules and understand how well the data needs to run, a campaign can read dependent those accuracy scores to know what what tables have quality Yeah, this view would allow you to understand your overall accuracy as well as dive into the minutia I hope that helps answer your questions about that quality. So I have another one for you here. to be involved with the data life cycle and take ownership over the rules that fall within their domain. so long as you could tie them to that unified definition. we understand your pain, so please feel free to reach out to us. help you guys automate all those manual task to help save you time and money. you. This banking example that you and city to talk through. Yeah, I think the number one thing that customers could do to get started with our platform so we we encourage you just reach out to us. Make sure that it's quality so that you can maximize the value of it.

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Eron Kelly, AWS | AWS re:Invent 2020


 

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah, welcome to the Cubes Live coverage of AWS reinvent 2020. I'm Lisa Martin and I have a Cube alumni joining me Next. Aaron Kelly, the GM of product marketing at AWS Aaron. Welcome back to the program. >>Thanks, Lisa. It's great to be here. >>Likewise, even though we don't get to all be crammed into Las Vegas together, uh, excited to talk to you about Amazon Connect, talk to our audience about what that is. And then let's talk about it in terms of how it's been a big facilitator during this interesting year, that is 2020. >>Great, yes, for sure. So Amazon Connect is a cloud contact center where we're really looking to really reinvent how contact centers work by bringing it into the cloud. It's an Omni Channel, easy to use contact center that allows customers to spin up contact centers in minutes instead of months. Its very scalable so can scale to 10 tens of thousands of agents. But it also scaled down when you when it's not in use and because it's got a pay as you go business model. You only pay when you're engaging with collars or customers. You're not paying for high upfront per agent fees every month. So it's really been a great service during this pandemic, as there's been a lot of unpredictable spikes in demand, uh, that customers have had to deal with across many sectors, >>and we've been talking for months now about the acceleration that Corbett has delivered with respect to digital transformation. And, of course, as patients has been wearing fin globally. I think with everybody when we're calling a contact center, we want a resolution quickly. And of course, as we all know is we all in any industry are working from home. So are they. So I can imagine during this time that being able to have a cloud contact center has been transformative, I guess, to help some businesses keep the lights on. But now to really be successful moving forward, knowing that they can operate and scale up or down as things change. >>Yeah, that's exactly right. And so one of the key benefits of connect his ability to very quickly on board and get started, you know, we have some very interesting and examples like Morrisons, which is a retailer in the UK They wanted to create a new service as you highlighted, which was a door, you know, doorstep delivery service. And so they needed to spin up a quick new contact center in order to handle those orders. They were able to do it and move all their agents remotely in about a day and be able to immediately start to take those orders, which is really powerful, you know. Another interesting example is the Rhode Island Department of Labor and Training. Which part of their responsibility is to deliver unemployment benefits for their citizens? Obviously a huge surge of demand there they were able to build an entirely new context center in about nine days to support their citizens. They went from a knave ridge of about 74 call volume sort of capacity per minute to 1000 call on capacity per minute. And in the first day of standing up this new context center, they were able to serve 75,000 Rhode Island citizens with their unemployment benefits. So really ah, great example of having that cloud scalability that ability to bring agents remotely and then helping citizens in need during a very, very difficult time, >>right? So a lot of uses private sector, public sector. What are some of the new capabilities of Amazon connected? You're announcing at reinvent. >>Yeah, So we announced five big capabilities this during reinvent yesterday that really spanned the entire experience, and our goal is to make it better for agents so they're more efficient. That actually helps customers reduce their costs but also create a better collar experience so that C sat could go up in the collars, can get what they need quickly and then move on. And so the first capability is Amazon Connect Voice I D, which makes it easier to validate that the person calling is who in fact, they say they are so in this case, Lee. So let's say you're calling in. You can opt in tow, have a voice print made of you. The next time you call in, we're able to use machine learning to match that voiceprint to know. Yes, it is Lisa. I don't need to ask Lisa questions about her mother's maiden name and Social Security number. We can validate you quickly as an agent I'm confident it's you. So I'm less concerned about things like fraud, and we can move on. That's the first great new feature. The second is Amazon Connect customer profiles. So now, once you join the call rather than me is an agent having to click around a different systems and find out your order history, etcetera. I could get that all surface to me directly. So I have that context. I can create a more personalized experience and move faster through the call. The third one is called Wisdom. It's Amazon Connect wisdom, which now based on either what you're asking me or a search that I might make, I could get answers to your questions. Push to me using machine learning. So if you may be asking about a refund policy or the next time a new product may launch, I may not know rather than clicking around and sort of finding that in the different systems is pushed right to me. Um, now the Fourth Feet feature is really time capability of contact lens for Amazon connect, and what this does is while you were having our conversation, it measures the sentiment based on what you're saying or any keywords. So let's say you called it and said, I want a refund or I want to cancel That keyword will trigger a new alert to my supervisor who can see that this call may be going in the wrong direction. Let me go help Aaron with Lisa. Maybe there's a special offer I can provide or extra assistance so I can help turn that call around and create a great customer experience, which right now it feels like it's not going in that direction. And then the last one is, um, Amazon Connect tasks where about half of an agents time is spent on task other than the call follow up items. So you're looking for a refund or you want me Thio to ship you a new version of the product or something? Well, today I might write that on a sticky note or send myself a reminder and email. It's not very tracked very well. With Amazon Connect task, I can create that task for me as a supervisor. I could then X signed those tax and I can make sure that the follow up items air prioritized. And then when I look at my work. You is an agent. I can see both calls, my chats and my task, which allows me to be more efficient. That allows me to follow up faster with you. My customer, Andi. Overall, it's gonna help lower the cost and efficiency of the Contact Center. So we're really excited about all five of these features and how they improve the entire life cycle of a customer contact. >>And that could be table stakes for any business in terms of customer satisfaction. You talked about that, but I always say, You know, customer satisfaction is inextricably linked to employee satisfaction. They need. The agents need to be empowered with that information and really time, but also to be able to look at. I want them to know why I'm calling. They should already know what I have. We have that growing expectation right as a consumer. So the agent experience the customer experience. You've also really streamline. And I could just see this being something that is like I said, kind of table stakes for an organization to reduce churn, to be able to service more customers in a shorter amount of time and also employee satisfaction, right, >>right that's that. That's exactly right. Trader Grills, which is one of our, you know, beta customers using some of these capabilities. You know, they're saying 25% faster, handle times so shorter calls and a 10% increase in customer satisfaction because now it's personalized. When you call in, I know what grill you purchased. And so I have a sense based on the grill, you purchase just what your question might be or what you know, what special offers I might have available to me and that's all pushed to me is an agent, So I feel more empowered. I could give you better service. You have, you know, greater loyalty towards my brand, which is a win for everyone, >>absolutely that empowerment of the agent, that personalization for the customer. I think again we have that growing demanded expectation that you should know why I'm calling, and you should be able to solve my problem. If you can't, I'm gonna turn and find somebody else who can do that. That's a huge risk that businesses face. Let's talk about some of the trends that you're seeing that this has been a very interesting year to say the least, what are some of the trends in the context center space that you guys were seeing that you're working Thio to help facilitate? >>Yeah, absolutely. So I think one of the biggest trends that we're seeing is this move towards remote work. So as you can imagine, with the pandemic almost immediately, most customers needed to quickly move their agents to remote work scenario. And this is where Amazon Connect was a great benefit. For as I mentioned before, we saw about 5000 new contact centers created in March in April. Um, Atiya, very beginning of the pandemic. So that was a very, uh, that's a very big trend we're seeing. And now what we're seeing is customers were saying, Hey, when I have something like Amazon Connect that's in the cloud, it scales up. It provides me a great experience. I just need really a headset in a Internet connection from my agents. I'm not dealing with VPNs and, ah, lot of the complexity that comes with trying to move on on premises system remote. We're seeing a huge, you know, search of adoption and usage around that the ability to very quickly create a new context center around specific scenarios are use cases has been really, really powerful. So, uh, those are the big trends moving to remote remote work and a trend towards, um, spinning of new context that is quickly and then spending them back down as that demand moves or or those those those situations move >>right. And as we're all experiencing, the one thing that is a given during this time is the uncertainty that remains Skilling up. Skilling down volume changes. But looking as if a lot of what's currently going on from home is going to stay for a while longer, I actually not think about it. I'm calling into whether it's, you know, cable service or whatnot. I think What about agent is actually on their couch at home like I am working? And so I think it's being able to facilitate that because is transformative, and I think I think I'll step out on limbs side, you know, very potentially impact the winners and the losers of tomorrow, making sure that the consumer experience is tailored. It's personalized to your point and that the agents are empowered in real time to facilitate a seamless and fast resolution of whatever the issue is. >>Well, and I think you hit on it earlier as well. Agents wanna be helpful. They wanna solve a customer problem. They wanna have that information at their fingertips. They wanna be on power to take action. Because at the end of their day, they want to feel like they helped people, right? And so being able to give them that information safe from wisdom or being able to see your entire customer profile, Right? Right. When you come on board or know that you are Lisa, um, and have the confidence that I'm talking to Lisa, I'm not. This is not some sort of, you know, fishing, exercise, exercise. These are all really important scenarios and features that empower the agent, lowers cost significantly for the customer and creates a much better customer experience for you. The collar? >>Absolutely. And we all know how important that is these days to get some sort of satisfying experience. Last question. Erin, talk to us about, you know, as we all look forward, Thio 2021. For many reasons. What can we expect with Amazon? Connect? >>Well, we're going to continue to listen to our customers and hear their feedback and what they need, which what we certainly anticipate is continued focus on that agent efficiency, giving agents mawr of the information they need to be successful and answer customers questions quickly, continuing to invest in machine learning as a way of doing that. So using ML to identify that you are who you say you are, finding that right information. Getting data that I can use is an agent Thio. Handle those tasks and then automate the things that you know I really shouldn't have to take steps is a human to go do so if we need to send you a follow up email when when your product ships or when your refund is issued. Let me just put that in the system once and have it happened when it executes. So that level of automation continuing to bring machine learning in to make the agent experience better and more efficient, which ultimate leads to lower costs and better see set. These are all the investments. You'll see a sui continue for it next year. >>Excellent stuff, Erin, thank you so much for joining me on the program today, ensuring what's next and the potential the impact that Amazon connect is making. >>Thanks, Lisa. It's great to be here >>for Aaron Kelly. I'm Lisa Martin. You're watching the cubes. Live coverage of AWS reinvent 2020.

Published Date : Dec 8 2020

SUMMARY :

It's the Cube with digital uh, excited to talk to you about Amazon Connect, talk to our audience about what that It's an Omni Channel, easy to use contact center that allows customers to spin up So I can imagine during this time that being able to have a cloud contact And so one of the key benefits of connect his ability to very What are some of the new capabilities of and I can make sure that the follow up items air prioritized. And I could just see this being something that is like I said, kind of table stakes for an organization to And so I have a sense based on the grill, you purchase just what your question might be or what you the least, what are some of the trends in the context center space that you guys were seeing that you're working So as you can imagine, with the pandemic almost immediately, most customers needed to that the agents are empowered in real time to facilitate a seamless These are all really important scenarios and features that empower the agent, Erin, talk to us about, you know, as we all look forward, Thio 2021. a human to go do so if we need to send you a follow up email when when your product ships or Excellent stuff, Erin, thank you so much for joining me on the program today, ensuring what's next and the potential the impact Live coverage of AWS reinvent

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Amir & Atif lta glitches fixed v2


 

from the cube Studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hi I'm Stu mana man and welcome to a special cube conversation talking to leaders around the globe happy to welcome to the program two guests actually one is a cube alumni the other one I believe the first time on the program the Khan brothers I have a mirror and on TIFF so gentlemen thanks so much for joining us oh thank you for having us again yeah so here you know you and your brother you're coming out of stealth al Kyra is the company you two both work together at many companies we know you most recently from Katella we're a mirror you know we've spoken with you on the cube I believe right after that acquisition proc it was another company back in the day also happened to sell to Cisco but we know that you know networking is one of the you know toughest things in our industry now everybody thinks that their environment is is something challenging but you know we know networking in the weeds there's so many protocols and while networking as a whole doesn't change really fast there have been a lot of waves of change happening most recently of course cloud having a major impact on what's happening to the networking world Amir let's start with you you're the CEO your brother a tip is the CTO you're both co-founders give us a little bit of the background and the why of Al Kyra yes but after we sold patella I was looking for the next idea and we talked to multiple customers and multiple service providers a common theme that came across was the cloud networking was complex and when it came to multiple clouds it became exponentially complex it was not only learning multiple clouds but all the underlying constructs were different in each one of us so we decided that we need to take a look at a common solution which provides one way of connecting to all clouds that exist out there and provides common services like firewall and then from the governance perspective it becomes very challenging if you have very diverse environments so we are bringing analytics a common way of monitoring and managing the networks on top of that so it's a very comprehensive solution that the industry needed and they needed it as a service so we we dug deeper and came up with this idea went to the VCS and got funded very quickly to solve the problem and very proud to say that we are the first ones were in the industry for bringing computer networking as a service for multi cloud environments to the market all right now that's a that's a big vision and definitely something you know we hear from talking to customers you know absolutely multi-cloud most of the people there trying to figure out exactly what that means to their cuspid to their companies as well as it is not simple today aught if I want to pull you in you know we've seen you know many you know groups of talented you know development engine developers and engineers sometimes they try Ville in packs so when you look at you know what Amir just talked about the challenge in front of you give our audience a little bit of the understanding of you know the history of what you've been working on and is this you know a you know just turning the crank based on the latest and greatest technologies is that the coming together of some of the pieces that you've been thinking about for many years you know help us under the hood a little bit as to you know that this problem and the talents and what you're moving forward with for the last many many years both Amma and myself and other team are other team members we've been working on large customer networks whether those are service provider networks or whether those are enterprise networks so we have a deep understanding of the challenges they have based over over time so and now as I mentioned customers are transitioning to public clouds they are transitioning to SAS environments and there are a lot of challenges with which they are running into so we decided to take this challenge on and we brought together like a stellar team we have people who joined us from from botella as well as people from other large organizations they've been working on we have people from AWS we have people from Azure via people from other large companies so we have put together a great team we are very well funded and as I mentioned our approach has always always been to work with customers always understand their pain points and solve the real issues which which are having so that's approach we took and that's what we are doing here Adele here yeah so I did if I want to dig down a little bit more and actually we've got a slide I think you'll talk to because we know in networking a lot of the words sound the same you know is this an overlay I'm your said that at the service what gets deployed where is it what are the customers need to do where does this all live so if you could explain this this this diagram here for our audience so what the buildings do is a is a service and it's a cloud services exchange if you look at it and what it is comprised off is east cloud exchange points you can think of these as virtual pops and virtual polos and you can you can decide which region in the world or on the globe you want the DC X is to be spun up you come to our portal since it's consumed as a service you decide like what needs to reside on the CX PS which networking services you need there you can bring your own services or you can consume LTS services and when I talk about services or when I say services these can mean security services other networking services such as load balancers ipam DDI whatnot from the EC XPS you're gonna connect to multiple pounds from here without you as as Enterprise know without you knowing need to know anything about the underlying cloud providers networking concerts so all you do is you give us the requirements you say that you need to connect to this cloud this this is your appointment and we we do it for you so what basically what we are doing is we are virtualizing the clouds networks it's a so in the past we virtualize the when in our previous company and patella if you look at it it's virtualizing plan over different types of transports here we are virtualizing cloud it doesn't matter which public clouds you're sitting on which public cloud you need to connect to you know one service to consume you know one way of doing about networking great III that diagram definitely helped me a lot Amir let's talk my understanding you've got some customers what are some of the early things that they're using this for is this you know hybrid cloud going from their data center to a public cloud we talked about multi cloud does that mean we're actually connecting services between some of the public clouds help us understand what what your customers are seeing and starting to use it's a very interesting questions too we've been talking to multiple customers that we said and without a doubt every single customer that we are talking to has some sort of a multi cloud strategy and the reasons for them to get into multiple clouds could be either their some teams are using some applications which are optimized for a particle cloud one of the customers that we went to they were using one cloud and then acquired a company because of which you know another cloud was brought into the environment so all of a sudden they have a need to very quickly you know integrate those two environments and then there are you know with what's going on in the market today people are going to remote access requirements you know people are working from home and they need to get onto the network very quickly and consume applications which scale much better in the cloud so there's a demand from that perspective right so and in some cases one company becomes let's say Amazon becomes a competitor somewhere and people want to move to another cloud that could be another alternative right so so without fail many people are you know getting into cloud environments and the primary reason that I'm hearing now that many more companies will move into the cloud is going to be regulatory issues right so people are starting to think about pushing all the financial companies the healthcare companies to adopt multiple clouds for redundancy for high availability etc yeah you bring up a great point one of the questions we've been asking for the last couple of years is how is multi-cloud the same or different from what we used to see with multi-vendor aught if you know I think back to you go back you know 10 15 20 years ago and some of the M&A discussions that Omer was talking about you know you know I buy another company Oh what are they doing for their network well throw out their whole network and let's standardize on the vendor of choice that we have because it's better if I can go homogeneous well it's not as easy to do that in the public cloud so help us understand you know it's not as easy as that saying oh all these clouds they have API is they all use similar type type of abstractions and the like you know where does Al Kira really help make things easy for customers when they're when they're doing multi cloud so you know every cloud is doing things differently when it comes to networking so yeah at the end of the day functionality might be the same but how to achieve that how to get that working it's very different between each plug so now what we are seeing with these enterprises is that they have to build a deep understanding of each cloud before they can take on that cloud and nowadays cloud architects are in big demand they don't come cheap either so you don't necessarily just need the personal cloud architect with expertise in one account you need like architects with the expertise and multiple thoughts so so we wanted to solve that problem that's why we took this challenge on and we wanted to make it a make it one way of working with all these clouds so from a cloud architects perspective from a enterprises perspective why can't there be just one way of connecting to all these clouds why do I have to know the details of each cloud as armor said each cloud spring brings its own own its own value in different ways and there is a multi cloud strategy out there so either customers are in multiple pounds or they're looking at at multiple doubt so that's that's a big challenge right now and since what we are offering is as a service it's a unified global multi cloud network and again we're virtualizing the cloud network all right Amir you mentioned early on in the conversation that Acura is well funded you've got Sequoia and kleiner perkins as two of your investors you know definitely companies that look closely and understand the networking space help us understand the basics of the company though coming out of stealth right now is the product available where is it available you know where are you with with customer and deployments certainly we are making our product available on April 15 and many customers are trying it right now they're in the process of deploying it in production these are across industries healthcare manufacturing high-tech you know financial industries so customers span across multiple different verticals in addition to that many service providers are working with us to offer this to extend their capabilities into the cloud so many service providers have been struggling with that and this makes it very easy for them to complement their private connectivity solutions and extend their reach deeper into the cloud so the industry is very excited right now and we are excited because this is an opportunity you know which the cloud migration has brought to the table from networking perspective and if we had thought about it 10 years ago 20 years ago it was just not possible and now we have this capability in the clouds to offer in lastik capabilities do not only provide connectivity but but integrate the services like firewalls scale them up and down and provide proper governance yeah you bring up such a such a big point there I talked before about multi vendor and today you know the network team it's not just oh well I touch all of the gear that I manage as you said it's the service providers public clouds they need to span all those environments we've definitely seen a huge shift in service riders and their relationships with the public cloud over the last five years or so atif I guess that brings up a the important point here who's gonna be managing all this when it comes to a Keira is this the traditional Network person if they've been you know doing land maybe a little bit of an are they going to be doing it is the cloud team you know where does this sit in the you know conversation and jostling of roles that we're seeing as organizations are more and more embracing public cloud so it's Stu it's still a networking solution so what we are seeing working with our customers is that it's a it's a cloud architects who are were very excited when they see our solution now they can see that the network can can can show the same agility which they have been very they're being seen with with compute and storage and and rest of the stuff moving into the cloud so network was always like behind it took a lot lot of effort a lot of work to get the network to extend into clouds meeting all the all the enterprise requirements so now network architects are excited because they it's it's become very simple for them to to move into the cloud or extend their private connectivity into the club I'll give you an example we've been working with some large enterprises and they many of them they don't need to open up a manual or documentation to use our solution so our goal was always to make it so simple that anyone should be able to connect to a cloud without knowing anything about the networking constructs of a given cloud so you just come in you should just be able to give us the requirements that you need need this much capacity you need this much throughput you need B services to front-end the clouds these are your security policies which are global and you need like a multi global transport or global network a multi-level network and you should be able to just bring it up and you should on you should not need like certifications in cloud networking or certifications in using tools to orchestrate cloud connectivity so we are built a very scalable infrastructure which allows the customers to get a service from us or use our service which which meets the requirements all right I'd like to ask both of you you know it's April 2020 you're coming out of stealth you know I'm sure the product has you know all the features that your customers are asking for today but give us a look as we go through the kind of the next six to 12 months armor first from kind of a customer standpoint not if from the technology standpoint what should people be looking at both with your product how you're working with partners and you know really this multi cloud networking landscape our focus is on mid to large size enterprises and depending on which company you talk to their strategy varies to get into the cloud somewhere some are at a very early stage others have moved significant amount of workloads into into the cloud already the reality that we are seeing out there is that the hybrid environment is going to exist for a long long time and that's why we have built a solution which seamlessly integrates their existing wide area networking infrastructure to bring traffic into our solution and then we tie them seamlessly to the cloud and provide integrated services and Governors governance on top of that and they can define their own internal policies based on you know their enterprise needs so that's what we are seeing right now and going into the future I think that industry is going to continue to evolve it's still early the solutions will evolve quite a bit we have a first mover advantage to provide networking as a service and we are so excited to just continue to you know accelerate and help customers to migrate into the cloud as quickly as possible provided with the highest resiliency and security yes so from from a technology perspective as I said like we we believe in working with the customers and solving their use cases we are innovating at a very rapid pace and there are many many different use cases which which we are working on we have some of the use cases which we are which we have delivered so far where we are going out with a certain number of use cases and we will be adding more use cases as we as we go support support for more use cases and we support like all the major clouds right now we will be adding more clouds to our offering we offer a Marketplace on our portal as well so it's a it's a it's a cloud service with a built in marketplace of network services we will be expanding that marketplace as well with more services it's all based on the on the customer requirements and and we prioritize our offerings based on the requirements and there's a there's a lot of work ahead of us also it's just the beginning and as I said we are very excited to solve all these problems and make our customers successful excellent if you're a good setup for armors last slide here so we've got a slide here is that how do customers get started walk us through yeah as I have said we've our goal is to make it as simple as possible you know we live in a different world now where things change very very quickly but the customers just come to our portal they register or our service just like any other SAS based service they you know basically are taken to a canvas where they can draw their infrastructure drop services create policies within minutes and then you know across the globe and then click on the provision button and they can go and have coffee and the full infrastructure comes up literally in less than an hour as a matter of fact in many cases we have seen a comment in around half an hour across the globe this is the type of a solution or capability that the industry has never seen before in the industries we are very proud of bringing the solution to the market well congratulations both of you a lot of work goes into bringing a company to launch before I let you go I do have one last question you two are brothers you've worked together at a number of companies so you know give our audience but you know what it's like and you know what what keeps bringing you back to working together well we are very close family we've always you know you know studied together work together and many different companies we live about five minutes away from each other our kids hang out together we travel together so you know it's kind of interesting you know we've always had a very very close relation yeah this is this is a fifth company I guess where we are working together as he said like we have always worked together we have a we we have a same circle of friends also so so we have very very close to each other so yeah this is one of the best squash players in the country and nowadays he doesn't get much time but he was ranked in the top three for a long time in amateurs in the country well that is awesome well hopefully you know you get to get a little bit of break you know once the company goes into spell they know a lot of work moving forward but I'm Erin atif congratulations and thank you so much for joining us to announce coming out of stealth thank you thank you for having us thank you it's a pleasure to talk to you alright and we definitely look forward to tracking al Kyra in the future as that they move forward with adoption with their customers and their solution I'm still minimun and as always thank you for watching the queue [Music]

Published Date : Apr 3 2020

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Aaron Millstone, Oracle & Jeff Davis, Deloitte | Empowering the Autonomous Enterprise of the Future


 

>>Yeah, yeah, yeah! >>Everybody, welcome back to the special digital presentation where we are tracking the transformation of Oracle consulting. And really, it's rebirth. Aaron Millstone is back. He's the senior vice president of consulting, joined by Jeff Davis. Who's ah, principal at Deloitte. He's the chief commercial officer for Oracle at Deloitte. Gentlemen, good to see you. Welcome. >>Thank you very much. >>Thanks for having me back. >>You're welcome, guys. Jeff, let me start with you. I've got the obvious question is why would Deloitte World Class? Yes, I well known why you partnering with Oracle Consultant? >>We're really It was a perfect match. The fact that we were looking to grow our oracle practice and really new and innovative ways around Oracle's cloud technology. Uh, in discussions with the oil, coal and specifically with Aaron Millstone, we discovered that we really had complementary capabilities and very little overlapping capabilities. So it was natural for us to find a way to work together. And specifically we found that there were strategic assets we had and there were tactical assets that Oracle had the mixture of two made a really unique and compelling value proposition for the customer base >>and Aaron. I mean, we've talked about the shift from from staff augmentation to much more strategic partnering with your customers. But you're not trying to compete with the big size of there's, there's it sounds like there's not a lot of overlap there. Where do you pick up and leave off for Deloitte? You describe that? >>Sure. I mean, we're You're right, right? We're not. We're not ever going to try to compete with the Deloitte. It's not our that's not in our DNA. It's not our intention. We exist to drive Oracle's to drive success for our customers on Oracle's cloud. That's that's our mantra. That's what we focus in on. So for us, right, we're deep technologists. We're We understand our cloud. We understand how cloud works within our various product suites that we migrate to the cloud. We understand how to manage it. We understand how to build paths extensions to it, but we don't have big program management. We don't understand non oracle components that well, you know, we've got some expertise here and there. But if we need to expand, you know, on Oracle solution to coexist with a Microsoft azure solution, we can't do that without going to a partner and as we bigger and the transformation that they're gonna have to change management and big, big transformation journey capabilities. Like again, That's not That's not expertise. >>Yeah, so Jeff will come back to you. So we see a lot of these deals. Sometimes we call them Barney deals. I love you. You love me. There's a press release, and that's it. But so one of the things we look for okay is their teeth behind this. You guys have come out with what you call elevate. What is elevate? How did it get started? And I have some follow up questions. >>Yeah, well, elevate really got started when Aaron and I started to look at the assets that each of the firms possessed on the Deloitte side, as Aaron suggested, We have deep capabilities and a broad range of technologies, some of them competing technologies with Oracle at the same time. Uh, we didn't have a great deal of depth in Oracle's technical products, Oracle Cloud Infrastructure and Oracle Autonomous. Our bench was not as big as Aaron's, and Aaron also had access to your local development at a level that we didn't have access to. So we really found ourselves in a situation where we could put those two capabilities together and we could offer something to our clients and a broad range of customers. Oracle customers in the field. They had access to all of the Lloyds capabilities, which includes great project management, great change management, real skill around the strategic aspects of cloud migration. And Aaron had tools on had resource is trained and developed around the late historical technology. They'd always be a step ahead of any s I So together we felt this was really a differentiation for marketplace, right, Erin? >>Yeah, absolutely right. And if I don't think I would add to it is that if you if you look at Deloitte approaches client conversation from, ah, business value perspective, you know, the work consulting teams tends to focus conversation. It tends to approach conversations with a focus on How do you want to do the technology? Um, both are helpful. But, you know, quite frankly, as we get into the bigger information in place, we need to lead with the Lloyd model of how do we How do we drive your business value and then begin from a technologist perspective, that's when we show up. So it really has been a very logical, very complimentary match. >>So you and I have talked about, you know, data centers and building data centers and investing. It's not just it's just not a good use of capital today. There's so many other things that organizations can do. You guys have identified data center. Consolidation is, is I'll call it Ah, you know, an initiative that you're seeing customers. I wonder if you could talk about that a little bit. Is that kind of a starting point for conversations? >>Yeah, well, it's definitely starting point, right? So we call it a referred to his infrastructure led transformation, Um, and appetite. The appetite for that is certainly high. We were seeing an increased focus on um, you know what customers need to do to take not just a workload here and there. But how do they get out of the data center business full? So it's a foregone conclusion, right? Like you just said, it's not. It's not really a question of should we invest in another data center? Where should we invest in up to in their data centers? The question has changed to Let's move the cloud. How do we get there and let's move in a big way? And that's why we're seeing that dialogue across all of our customers. And we find even for Oracle, it's been a learning for us, right? We started with on Oracle workload conversation, which is, Do you want to move this work? Work loads of oracle? But you want to move that Oracle workload works. And really, what we're finding is it's a wholesale transformation of everything in the data center, too. One or more clouds, right again, often often it's a multi cloud strategy, and that's okay. And we, you know, we were having more bigger conversations. The thing that has been really interesting is these conversations have evolved, and especially as we work with our partners at Deloitte, has been that, you know, we think that the combination of our our cloud technology, the consulting services that Oracle Consulting and Deloitte can bring to bear and then Oracle's ability to finance the whole deal makes the very compelling conversations for customers because you can walk in to a CEO to a CFO and say, Look on day one, you can actually have a lower spend that what you have today in your data center and get a cop transformation underway at the same time. >>So I want to come back to that business case and member Jeff, before we do, I want to ask you. So we heard Erin, you know, talking about the catalyst. You know, that sort of infrastructure transformation. But you're in the outcomes business, right in both. The bush has been deployed especially so So what is that North Star that you're seeing with customers? You know, it's not about the tech. They're not starting there. Um, that will often tell you that's kind of the easy part. But then we see tech coming and going, and it's the It's the business process. That's the people issues lining everybody. So what are you seeing is so the outcomes. What's that conversation like with your customers? >>Yeah, well, really, this conversation starts with business leadership. Um, if you think about it, there's a strong value proposition in infrastructure renewal. It's not at the top of mind, but once you start to understand the value that's created, it does raise two ah, high priority. Now, our experiences that virtually every board is looking for the C suite toe have a cloud strategy of some kind. People recognize the value of cloud in, uh in many of our clients and many of Oracle's customers, so the boards are pressing the C suite for a cloud strategy. Among those things are the value that cloud brings, including virtually unlimited scalability. Is is being tested real time now with a lot of current events. So when you see the scalability when you know you need a cloud strategy of some kind, your business advisors impressing you, the value proposition starts well, how do we get there? And what does it take to be successful? Our perspective is that it's it's fair to believe that the cloud will reduce infrastructure. Spend significantly. It's a great opportunity for consolidation. It also adds a layer of security, resiliency and scalability that you simply couldn't do on your own. So it addresses a lot of business needs Aziz well as a number of technical needs that need to be addressed. >>So let's talk a little bit more about that business cases that generally what you're seeing, where it starts is let's take some costs right out, and then Aaron, you and I talked about maybe investing that in the future of it. But is that really the starting point for the vast majority of customers? Let's let's let's cut some costs right away and get a payback immediately. >>So I'd like to share our perspective, which is, you know, nobody spends money for the sake of spending money on technology. It's got to have meaningful business value. So the conversation starts with really renewal and a path to the cloud. But there's a natural opportunity for savings in consolidation that we take advantage. We're not simply shifting from your hardware to the cloud we're actually modernizing, which will result in significant savings. But it also gives the business something that they don't have today at a level of security and scalability and ability to run a modern technology much faster, much better. Ah, and much more scalable. >>So a lot of people might again I go back to these deals. I think of this as a sales play. One of the things we look for is there. Is there any other integration? Are you doing co engineering in this case, maybe not, co engineering But are there tools that you're developing that you're taking to market, that you're actually leveraging? Eric, can you talk about that a little bit? Convinces. That's not just the sales play. >>Yeah, sure. And Jeff alluded to some of this earlier, too, right? So we definitely each had our respective tool. Angry Deloitte's investments in tools, what was built out of data that we have seen used quite a few times now we've been investing in something we call the Oracle soar. You know, our tools are, as you'd imagine, heavily Oracle focus. It's about moving Oracle technology to Oracle Cloud out of data and some of the tools that Deloitte's invested in our focus more comprehensively on holistically, looking at everything in a data center and everything that's across data centers and start to develop a set of facts around this stuff. But in both cases, we actually looked at these things and we said, You know what? If you combine these together, we get a very comprehensive view of what exactly it is, but we're looking at with a customer so we can tell everything from the types of traffic we see in the network to the specific versions of stuff you start to identify whether there's risk associated with having things, not aster on a supporter and get a very conference of you that's based on facts. And so, you know, we took those tools. We combined them together so that we can go into a customer and give a complete end and view from both on Oracle and Delight Perspective. And quite frankly, it doesn't matter whether the Lloyd leads or whether Oracle leads. We've developed these tools together. We're going to market together. And we've even got you know, the templates you'd expect consultancies tohave, right? So when you look at business cases, we've got joint business case templates that we've created together and that we're using actively with customers and therefore then we're refining them, improving them each time we do it. But, you know, we're at a point now where our tools are combined, templates are combined, and we even at this, you know, we're even Jeff in our poll earlier yesterday actually even got a joint Ah, war room that's constantly engaging with different account teams and making sure that we structurally approach things in a consistent way so that we're driving business value and using the tools appropriately. >>You know, I think, um, migration risk is probably one of the most significant factors in a business case. I mean, many don't understand it, but those in I t. And certainly hopefully in the executive office do you understand it? It sounds like that's a part of your tooling, anyway is designed to mitigate that's significant migration risk. When you talk about that a little bit, >>yeah, so we, you know, we approach migration from, you know, we start with the conversation. I'm almost always some type of log of what? The list of applications, what versions of things running they've been maintained by some might department somewhere, right? Or the collective? It's in varying degrees of accuracy is what we find. We don't rely on that. We go in and our our tools, our combined tooling across oracle, Deloitte interrogate the systems. We come back with actual information from the actual systems themselves. And then we started the plan. And so the funny thing is, with the migration, you know, probably 80% of the effort. 90% of the effort is in the planning stages and making sure that we understand exactly what we're moving exactly. When again, we're not. We're not dealing with the edge applications. Typically, we're dealing with the mission critical applications that are supporting the heart of a supply chain or a finance operation. And you can't. You just can't afford the down time that maybe you could afford on something that might be a consumer facing or a little less mission. Critical. So, yeah, we start finding very early and interrogate aggressively with actual data. >>Jeff, can you give us a sense as to how far you're into this elevate journey? May be thinking about a couple of customers either specifically or generically gonna where you're at with them. How far along? Maybe even some examples that you feel are representative. >>Sure. Um, you know, the the relationship has been probably about six Ah, close to seven months of maturity. In that time, we've had an opportunity to work on several key clients at scale. Uh, we've worked together in collaboration with one of the nation's largest retailers in the grocery business. We've worked collaboratively in aerospace and defense and also in the hospitality industry. In these cases, what we're finding and one is each one is in the various stage of maturity. One is done, one is in midstream on one is at the early stages and current economic conditions or driving a huge pipeline. Right now, I think our challenge right now is making sure that we identify those clients that can best take a value, take advantage of our services and our joint offering to deal with that pipeline. Right now, what we're finding is that the savings are at least as we projected. In some cases, we're finding even more. What people say they have and what people say they do isn't necessarily what you find when you get in there. But almost every case we're finding that there's unused equipment, unused capacity that they currently have redundancy, low utilization of their current assets. We can go a long way and streamlining that. Plus, I can't emphasize enough that ah, these days security is a major concern and we're adding a layer of security that they could never achieve themselves with soft. >>How do you guys on how the customers wanna approach the transaction? Is it a Bixby is a T and M. Is it a situation where you participate in some of the some of the savings of the game. How does the pricing work? >>So we have Go >>ahead. Um, I'll start off by saying each deal is really custom built around what a customer really needs, what they're trying to get out of it right now. As an example, Op X is very important. So we're engineering deals in a way that helps customers deal with their financial challenges, especially around op Ex. There are other structures that we can put in place. We have the backing of Oracle Finance, so we can be very innovative on deals they could be. When value was attained. They could be milestone based. There's just, uh, I think, a wide variety I don't want to say unlimited, but a wide variety of different options that we can offer our clients in order to be able to deal with whatever financial challenge or opportunity that may be looking at >>perfect, perfect. And you want >>to add to that >>and everything looking at other than you know, the there are. There are always things that are discovered during a personal project, and so, you know, we we also we do factor and things that allow some flexibility. Right? So even if we have a fixed price deal will include a bucket of ours to deal with, you know, unanticipated changes or even innovation. It doesn't have to be, You know, contingency could be Hey, we want to go out and spend and invest some money on artificial intelligence machine learning analytics over in this space since we've already moved these applications. All right, so we're approaching it again from a very flexible standpoint, and we're just point right. We can we can custom craft. Ah, deal to match what? The clients. Best business outcome. Okay. >>Yeah, that makes sense. That client might see some adjacent opportunity that they want to pursue, and they want that to be covered in the agreement I'm gonna end. Um, if you start with you, Aaron and then Jeff go to you. How? What do you guys see? A success? What does success look like? You know, when you were, you know, just less than a year in when you're 234 let's say five years and you look back, What does success look like? >>So, to me, successful success is gonna look like we've gotten a number of these big transformation deals in play. It's in motion, naturally between our organizations, not necessarily driven entirely by Jeff and I going out and driving the organization behave the right way. It's more in our DNA. But more importantly, I think we've gone into We've gone beyond the conversation of Let's Move workloads. We've gone into conversations off. Let's really talk about how to reimagine your business on top of Oracle's cloud and have an ongoing dialogue that looks at that transformation. Once we hit that 0.345 years from now, right, that will be a wild success, Jeff. >>But really, it's been around for 135 years. This is our birthday, uh, this year and in that time, what we've learned is there's no substitute for impact and value added to our clients. In our perspective, what this would success looks like his client success find success means improved scalability of their operations, uh, securing their technology and their data at a substantially lower cost, so that they can focus on what their core businesses and focus less on technology. That success to deploy >>right guys, thanks so much. Great session We're not only witnessing the rebirth of Oracle Consulting, but there's clearly a transformation going on. And it's cultural. Gentlemen, congratulations on your partnership. And thanks so much for coming on the Cube. >>Thank you so much >>for having us. >>You're welcome. Alright, Keep right there, everybody. We're back with our next guest covering Oracle Consulting North America. This is Dave Vellante with the Cube. Thanks for watching. >>Yeah, Yeah, yeah, yeah, yeah, >>yeah.

Published Date : Mar 25 2020

SUMMARY :

He's the senior vice president of consulting, joined by Jeff Davis. Yes, I well known why you partnering with The fact that we were Where do you pick But if we need to expand, you know, on Oracle solution to You guys have come out with what you call elevate. that we didn't have access to. And if I don't think I would add to it is that if you if you look at So you and I have talked about, you know, data centers and building data centers and investing. and especially as we work with our partners at Deloitte, has been that, you know, we think that the combination So what are you seeing is so the outcomes. It's not at the top of mind, but once you start to understand But is that really the starting point for the vast majority of customers? you know, nobody spends money for the sake of spending money on technology. One of the things we look for is there. and we even at this, you know, we're even Jeff in our poll earlier yesterday actually even When you talk about that a little bit, with the migration, you know, probably 80% of the effort. Maybe even some examples that you feel the savings are at least as we projected. Is it a Bixby is a T and M. Is it a situation where you participate in some of the some We have the backing of Oracle Finance, so we can be very innovative on deals they And you want bucket of ours to deal with, you know, unanticipated changes or even innovation. You know, when you were, you know, just less than a year in when you're 234 let's say not necessarily driven entirely by Jeff and I going out and driving the organization so that they can focus on what their core businesses and focus less on technology. And thanks so much for coming on the Cube. This is Dave Vellante with the Cube.

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Ben Gibson, Nutanix & Monica Kumar, Nutanix | Nutanix .NEXT Conference 2019


 

>> Narrator: Live from Anaheim, California it's theCUBE covering Nutanix .NEXT 2019, brought to you by Nutanix. >> Welcome back, everyone, to theCUBE's live coverage of Nutanix .NEXT. We are wrapping a two-day show. I'm your host, Rebecca Knight, along with my co-host, John Furrier. We saved the best for last. We have Ben Gibson, Chief Marketing Officer and Monica Kumar, SVP Products and Solutions at Nutanix. Thank you both so much for coming on theCUBE. >> Thank you for having us. >> Yeah. >> So congratulations on a great show. 6,500 attendees and 20,000 were live streaming. We had Mark Hamill, Jessica Abel is speaking next. Energy, a great vibe. Congratulations, you both get a well-deserved vacation after this. But I want you to, Ben, close out the event and tell us a little bit about what you hope the attendees is come away with. >> Yeah thanks, and thanks to theCUBE for joining us here-- >> You are welcome. >> It's a long marathon, right, over the last two days. And thank you for the great coverage you provide for this event. Yeah, we're thrilled with the event, and for us, it really starts with getting even deeper, more connected with our customers, right? And so we do great keynotes and there's a lot of new product announcements which I know have been covered in good detail throughout the last two days. But at the core of it, it's how do we make our customers better positioned for how they do their jobs. So it's training and certification and networking with their peers, and you hear that all over the place. And so as excited as I've been over the last three days with the event and the grandeur of it all, the thing that really gets me pumped up the most is when I see these ad-hoc groups that just come together in a hallway, and they sit down. I go over and say, what're you guys up to? and we're like, well, this is like our AHV mashup group, and we get here and we talk about key challenges we have, key opportunities, best practices tips, and so it's that network effect for me above anything else is what is at the heart of this show. >> One of the highlights we pointed out yesterday and today in our intro was the community vibe you have here. You have a great loyal customer base, Net Promoter Score of 90 which is a monster number, congratulations. But it's a small intimate event, you guys were able to not make it a trade show but a conference that was intimate, content driven, content value with nice tracks. Lots of comments on the tracks. So a lot of good highlights. So my question to you Ben and Monica, what's your highlight so far? >> You know, I'll take this one. As a newbie, I'm one of the newest members of the team at Nutanix and this is my first .NEXT. Even though you say it's a small event, it's still 6,500 plus people and about 20,000 attendees online right. So I think it's still sizable, but the beauty is that we're still able to maintain that community feeling. And so for me the most exciting part was not only meeting with customers like our SisAdmins, DevOps folks, developers, IT directors, CIOs, partners, our own employees, we're like bringing everybody together here to discuss how we can make things better for the customers, and what are things that are working and how can we improve. So I think to me that's one of the biggest thing I'm taking away as I go back, is what we can take as a feedback and how we can do things better in how we bring products to the market. >> Ben, highlights for you? >> Yeah for me, well first of all, I got to interview my boyhood idol, Mark Hamill. (laughter) >> Pretty cool. >> And that was a lot of fun, right. And we've just gone through in an hour and half of great content, our Nutanix Mine announcement, that was great, we announced AHV support on frame. So that was exciting to me and then, the cool thing about our show is we like to mix it up with something that's really fun. And in my case and I know with many people in the arena, and I saw the meet and great afterwards, to bring out Mark Hamill. I had to contain myself because I am a big Star Wars geek at my core, and we had a great conversation. And you know when you feel the room, I felt the room of 6,500 hanging on his every word, right? And he talked about persistence in his career, how he started out, all the rejection he got earlier on. We talked about his career journey, so on a really fun way, it kinda connects with a lot of journeys we have with the professionals in the room that are going through a lot of change and rejection or taking a risk or a chance on new disruptive technology. >> Yeahm it's really been a home run. First of all, the theme of having of Star Wars and Mark here was really great because the demographic, we all love Star Wars, so nice connection-- >> Who doesn't? >> Nice connection to the tech audience but your customers consistently say in theCUBE and off theCUBE, in the hallways and other conversations that they took a bet with Nutanix and it paid off. And that's the rebel kind of mindset inside these cultures of pre-existing legacy, vendors, and so you guys are breaking through. This is a big part of the marketing, is to enable those rebels to be now the mainstream. >> Yeah it's, you know you're right, it's rebellion, you know, that's spreading and growing, but as a marketer here, there's plenty of conversation about how we differentiate, right, and the outcomes we create for the customers but then when I see one of our early customers, and we opened the conference, he shared a picture where he was flying in a Cessna plane over the Grand Canyon, and he had his iPhone, he was managing his clusters with Prism on his iPhone. And what he said was the outcome for me, yeah there's total cost of ownership, yes, there's high performance levels, you can go through the traditional outcomes that IT folks look at. But at the end of the day he said, I'm able to spend more time with my family, and that sounds kinda cheesy, but it's real, and you sense that and you learn about that when you're here with customers. And with Monica coming on board, yeah, we've always been great, I think, at marketing and communicating our technology advantage but it's about more than that, right? >> Yeah. >> Talk about about your role, you have a stellar career, you're now new to Nutanix, you're not new to the industry. What's your focus? What you're gonna be working on? >> As with everything we do at Nutanix, it's all about the customer, so we are obsessed with making sure that the customer has the best experience, whether it's with product quality or how we take our products to market. How we message it to connect to what problem that they need to solve. So I think the biggest challenge we have as a company, the opportunity is, we know the customers are moving to the cloud. Customers are embarking on journeys to a modernized infrastructure. They are embarking on journeys to be able to use multiple different clouds. There is a lot of complexity out there, so our opportunity is to simplify that complexity for the customer. So that's what I am going to undertake with Ben here, is come up with right solutions, the right packaging, the right messaging, the right offers for our customers that can make it easy for them to get on their journey that they choose to get on to the cloud. >> Rebecca and I were talking about on the kickoff yesterday, 10 years old, CUBE's ten years old, so we've been following you guys for a long time as well. You're growing up. You're still a young company, you've said you're a billion dollar startup. >> Yeah. >> That's the culture. What's next for you guys? What's the goal? What's the objective? Because you've built a great community organically, your content is on the mark at the conferences, also digitally, there's nice organic kind of discovery for your customers, are learning about Nutanix. Word of mouth is big, network effect you mentioned, new cultural, younger generation. So you got a lot of things working for you. What's next? >> Well, thank you. I agree with those things, (laughter) but I tell you, here's one thing I've been thinking about towards the opportunity. So if you look at the past year, and I talked about this in our recent investor day, that if you look at the amount of IT Spin tied to traditional three-tier data center architecture, storage, network, compute, running in separate silos, hundred billion plus in annual spin. Hyper conversions, great new modernizing infrastructure play, the market spend on that this year is probably five billion. So if you think about that, I think about only 5% of the legacy world been modernized. And I am not claiming a 100%, but I am claiming well north of an opportunity, well north of 5% to get there. So fundamentally, the first thing what's next is there's a lot of green field left to take advantage of here and for customers to understand the value, human value, as well as financial and operational value, of what we're up to here with our customers. And so that's next, and then at a higher level, and I know it's something Dheeraj and Sunil talk a lot about, it's, we've hyper-converged infrastructure, made that essentially invisible, much grander ambition, how do you hyper-converge clouds, how do you take the complexity Monica was just talking about and provide a lot of simplicity for App Mobility and the like and take that to the next level. So to me, there's still the core mission. We're just getting started right. >> You know I asked Sunil that question, I said, how do you make that happen? And he had a great comment. We weren't on camera, I wish he had said that on theCUBE. We were off theCUBE before. He said, "Well, people tasted Amazon, they tasted cloud, "and now they are gonna bring that "mojo to the enterprise on the premises, "because they realize the benefits of cloud by itself. "But they can't get everything to the cloud. "So they gotta get modernized on premises "and operating model, not so much a refresh." >> To add to that, if you think about the role of technology right, the role is to make our lives easier, whether it's at work or in our personal lives, so I think the next big frontier is all around automation. I think this whole move to the cloud is because people want to automate a lot of the mundane tasks, we've talked about that in the past with data and such. I think the same applies to infrastructure, so you're gonna see us really focused a lot more on, how can we help IT automate? A lot of the, you know, keeping the lights on type of tasks which could actually be easily be done by the machine or in the cloud or by the software, human beings then can focus on more important things. >> Right whether it's being over the Grand Canyon with your children or meaty tasks of our jobs. >> Exactly so it's about making IT become a service provider rather than a cost center. I think that's what we're gonna enable with our softwares, we continue to go forward. >> I'd love you to comment on Ayanna Howard, Dr. Ayanna Howard's keynote this morning, where she talked about actually smart machines working together with smart humans, and how that's really the collaborative AI, and that's really where the future is heading. How do you think about that, and how do you message that, and how do you approach that within Nutanix? >> Yeah I totally agree, it's not human versus the machine. It really is human plus the machine. It's the combination which is gonna be most powerful in how we adopt technology to make things better for us. Like I said, whether in our personal lives or work lives. I know a lot of examples in my own personal life that I can see how machines or softwares changed the things I used to do before which I don't do anymore. There's lots of examples, I know when growing up in India, we washed our clothes by hand and now we have, when I moved to U.S., we have the laundry machine, right? I mean, there's lots of small, small things that are happening now, we talk to our Alexas and we can command people, to call people, to turn the music on, to turn the lights off and what not. And I actually have benefited from those, my parents, I'll give you an example, I have older parents who live at home, and now it's amazing, my mom can say, Alexa turn off the light, or turn on the light if they have to wake in the middle of the night, guess what it's not dark anymore, the light gets turned on, it's a real use case, you know. (laughter) They won't trip and fall. So I'm like thank you Alexa (laughs). So I do think that power of machine and human is the combination where we're going next, and I think Sunil touched on it somewhat in his keynote too. We're talking about autonomous data centers, right. That's exactly what it is. We are injecting more of machine learning, more of AI technology in how we are analyzing the operations, and then how we act on the predictive intelligence that we're getting from the operations to fix things before they break. >> Ben, I want to ask you a question on the marketing side because one of the things that came out of the top stories that we identified here at the show was the move to software. It's a big part of Nutanix next generation shift and growth is gonna come from just software, not hardware, just a software company. And also Dheeraj mentioned that he has a new customer, Wall Street, (laughter) and so he has to manage that. He had a great answer on how he's gonna balance the short term Wall Street-ers and the long game that you guys play at the Nutanix, so you got the software transition, the middle of it, different economics, software economics are much more stronger than process improvement, box changing, changing boxes in a data center. So software's going to be a nice impact across the long game, but Wall Street may not understand that software, and as you guys go to the next level, from hiring and marketing software, how are you guys thinking about that? I know it's about a year under your belt now with software, what's the orientation? What's your posture for to the marketplace with the software play? >> That's a good question. I'm sure, you know, Dheeraj likes to talk about Wall Street and Main Street, right, and how do you balance the two. And yeah we are disrupting along established market. We are moving from hardware to software now rapidly in subscription-based consumption models, and we're doing all that at the same time we're growing at the rates we're growing. And so it's a lot of juggling in the air, right? >> And I'll throw channel in there too, you gotta channel the merging, your partner strategy is looking really good. The HPE relationship is I think a great signal, potentially, in more local expansion, more breadth channel marketing on the table (laughs). New things. >> I mean, the way I think about it, as a marketer here, is, you know, and Monica touched on this, how do we create and provide offers to market that take advantage of the freedom of choice of consumption of Nutanix, right. And then how do you take those to market through your sale organization, how do you increasingly take new offering and capability to market through the product itself, which is a well-worn practice in the SaaS world. And then the channel partners is a key part of this because the partners that really, and I met with many here this week that really on top of this, they want to build that value-added practices that are about providing new services and offerings on top of that software, and then to be able to offer it in effective ways. The marketer has think about how do we incentivize, how do we package, how do we message to bring these to the market. It's candidly a transition for us, but it's an exciting one. At the end-- >> And you guys, and you were open about it too, you recognize that it's happening. >> Yeah, and I see it, you know, those moves can be challenging, but those are also moves I think that Wall Street likes. >> Evaluational increase. >> So we're nearly finished with this conference, but we're already think ahead to the next one in Copenhagen. So talk a little about that, and then Nutanix Americas in 2020. >> Well good, so we're looking forward to taking the show across the pond to Copenhagen. We had a great, our Europe event last year in London was amazing, right. We had record turnout. We had close to, for a user conference, 35% of attendees were not even customers of Nutanix yet. And often for these conferences you see more existing users and then maybe some, and we so expect that trend to continue. We have a lot of traction across Europe, Copenhagen is a beautiful city. There'll be plenty new to announce there, so I can't leak anything early on that front yet. But that's gonna be exciting show. >> Come on. (laughter) >> It's taste. >> We won't tell anyone. >> And I'm sure he's gonna be hobnobbing with yet another celebrity in Copenhagen. I've renamed his title. He is the Chief Celebrity Officer at Nutanix now. >> Well, he and Mark Hamill are-- >> That's right. >> But we're best friends now. (laughter) >> And he was with Magic Johnson earlier. I have a long list of people he's been-- >> You're killing us. >> No, he is. (laughter) >> Yeah, Freddie Jackson. >> Well you know, all joking aside, it's customer experience. And if it's all business, it's all product and all technology, right, then you know, that's a certain level of experience, but part of this is the community and the happiness that we see in our customers is we make them happy, both in the technology we deliver, the partnership we enjoy with them, but then also some fun experiences we deliver to them. And that's the spirit of this show. >> Yeah you guys do a great job. I want it like highlight and also get your thoughts, and I want you to share with folks watching 'cause you guys do a great job on the content programs at your events, the mix and match up of the core meat on the tech bone, the solutions, but balance of guest hosts, guest celebrities kind of blend in the theme. What's the secret sauce? What's the playbook? What's the thinking behind lot of the content and how's that gonna translate digitally because you guys mix it up, it's not just all Nutanix all the time. You got partners, you got people from outside the industry, seems to reinforce, the threads kinda connect together. What's the, how do you guys think about that? >> Yeah well, the secret sauce at the core of this, Julie O'Brien, a woman named Erin Alonso on my team. We have a strong, small but mighty, very creative events team that understands that at the end of the day this is about learning, but it's also about show business too, right. And people want to come to relax, to learn, and to have fun too, and I think it's balancing the two. But it's not just, okay it's Mark Hamill, because he was in Star Wars. It's because we knew Mark had such a tight, iconic connection with our core demographic, in terms of the core customers we have, and I saw our customers, some with tears in their eyes when they were able to meet him afterwards. And so, okay there's, and I was joking hyper-convergence, I was talking to Mr. Hamill, I said, hyper-convergence, hyper-space, right, there's ways to connect the two together. But there's technology at the heart of both of that. So it's just a new and unique and surprising way, and one thing, I close with, we endeavor in marketing here when we run our campaigns, when we do our events, surprise and delight. Surprise and delight. It's inherent in the product with one click, and everything we do there, and we'd like to think it's inherent in our marketing and also an event like this. Surprise and delight. >> So Monica who'd your hero be up there on the stage? Who do you want to see at the next-- you boss is right here, (laughter) this is your chance to influence-- >> Oh my god, okay. If you really wanna know (laughs), he'll have to fly in from Bombay India, the movie star Shah Rukh Khan. He's got known as SRK. But he is a world-famous icon. So there you go, next one SRK. Talk to Sunil about it, he knows about SRK. >> We hear you. >> Note, noted. >> Well then Monica, thank you both so much for coming on theCUBE, always a pleasure. >> Thank you. >> Thank you. >> Thank you very much. >> I'm Rebecca Knight for John Furrier. You've been watching theCUBE's live coverage of Nutanix.NEXT (techno music)

Published Date : May 9 2019

SUMMARY :

brought to you by Nutanix. We saved the best for last. But I want you to, Ben, close out the event and you hear that all over the place. So my question to you Ben and Monica, And so for me the most exciting part was Yeah for me, well first of all, I got to interview and I saw the meet and great afterwards, First of all, the theme of having of Star Wars and so you guys are breaking through. and the outcomes we create for the customers you have a stellar career, you're now new to Nutanix, it's all about the customer, so we are obsessed so we've been following you guys for a long time as well. So you got a lot of things working for you. and the like and take that to the next level. I said, how do you make that happen? To add to that, if you think about the role of technology with your children or meaty tasks of our jobs. I think that's what we're gonna enable and how that's really the collaborative AI, the light gets turned on, it's a real use case, you know. and the long game that you guys play at the Nutanix, and Main Street, right, and how do you balance the two. you gotta channel the merging, And then how do you take those to market through and you were open about it too, Yeah, and I see it, you know, So we're nearly finished with this conference, taking the show across the pond to Copenhagen. (laughter) He is the Chief Celebrity Officer at Nutanix now. But we're best friends now. And he was with Magic Johnson earlier. No, he is. and all technology, right, then you know, and I want you to share with folks watching in terms of the core customers we have, So there you go, next one SRK. Well then Monica, thank you both so much I'm Rebecca Knight for John Furrier.

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Copy of Lynn Lucas, Cohesity | Cisco Live EU 2019


 

>> Live from Barcelona, Spain. It's the cue covering Sisqo Live Europe, brought to you by Cisco and its ecosystem partners. >> Welcome back to Barcelona, everybody. You watching the Cube? The leader in live tech coverage is the first day of three days of coverage for Sisqo. Live for Europe. Lin Lucas is here. She's the chief marketing officer for Kohi City. Lend great to see you again. Thanks for coming on. >> Great to see you here in Europe. >> We were just saying it's the first time that we've done this on the continent. So another >> first? Yeah. Another first. Been s so pleased to be in the U. S with you guys, that multiple shows. And now we were here in Barcelona, >> so it's a great venue. We've actually done a number of shows here. Then again, it's a pleasure having you on. Let's see, Let's get right to it. What's going on with you guys and Cisco? You got got some news. Let's talk about >> Absolutely. As you know, we don't stop innovating continuous innovation at Cohesity and a number of new things. So last week we announced a new Cisco validated design with hyper flex and Cohesity integrating for snapshot integration for backup and, of course, instant recovery of that critical data center infrastructure. And we're calling it hyper squared. So you get full hyper convergence for your primary and, of course, your backup. Another secondary application. >> And those guys just want to talk about hype reflects anywhere. Still, so it's like infinitive hype. Infinity, hyper flex, >> hyper square, >> so hyper squared. Love it. So you guys will. How does that work? You'll obviously you want to be the provider of data protection provider from Multi Cloud. That's a huge opportunity. So how do you do that? You'll you'll plug into whatever framework that customer wants. Presumably, a lot of customers wanted the Cisco framework out. Is that all? >> Oh, absolutely. Hit the nail on the head. I mean, Cisco, obviously, one of the most respected leaders in the world, tens of thousands of customers globally depend on them. I'm Francisco alum love being back here at the old stomping grounds and Cisco's been an investor in cohesive he now, since our serious sees. So, they really saw the promise in the benefit of what Kohi City offers with hybrid converge solutions for modern backup recovery. And to your point to the cloud. You know, Cisco's talking a lot about multi cloud here and cohesive E with our native cloud integration helps customers protect those backups on or those applications on hyper flex, and then instantly move them to a cloud of choice. And then, as you've mentioned, Cisco has so many fantastic relationships that there are very strong go to market partner with us. And when customers wanted by solution, they could get the whole solution from Cisco, including Cohesive >> Yulin. We're glad we have you on because connecting the dots between something like hyper converge, which we've been talking about for a number of years now, and how that fits into multi cloud. To some, it's a little clunky sometimes goods like. But I've got my data center. Or am I just doing backup to the cloud? Because what we know is customers, a. Cisco says their data is, you know, kind of de centred. It's no longer in the in the data center of all over the place. Companies like Kohi City can give you that centralized data protection. No matter where your environment is, walk us through what you're hearing from your customers. How they look at kind of their data center versus the multi cloud environment and data protection. >> Yeah, so I think it's Ah, you know, I think customers air now understanding that it's not either or right. There was a time when people thought, Wow, I'm going to move everything to the cloud And I really think there's a maturing of an understanding of what's going to work well for me in this cloud First world, what do I want to put there? And then what am I going to keep on premises? So that's one of the things that Cohee City innovated our core technology. A distributed Web scale file system spanning file system, which spans the data center and the cloud world seamlessly. And what we're seeing is customers air really using the cloud for archiving, getting off of tape because then they get that search capability very easy when they need Teo tearing and then, most importantly, disaster recovery. You know, in the event of something man made or natural, many, many organizations moving to the clouds for their second sight. And with Kohi City, that's very easy to make. That transfer happened in a very seamless way with our capability set. So I think what we're seeing is this really maturing of how customers look at it as a really holistic environment. And so Cisco calling it data centered. But we call this, you know, mass data fragmentation. And then with our spanning file system being able to really consolidate that now >> yeah, another thing that needs that kind of holistic view is security. I know it's something that's in your product. There was a random where announcement that you made last week tells how security fits into this world. >> Yeah, well, you know, I think we all hate to say it, but you know that old phrase, the new normal unfortunately ran somewhere, and malware has become the new normal for organizations of all sizes. You know, here in Europe, we have that off the situation with the N HS in the UK last year. Andi, it's happening everywhere. So you know one element that the's attackers air taking is looking at how to disable backups. And so this is really important that as a part of a holistic security strategy that organizations take a look at that attack vector. So what cohesive he's introduced is really unique. It's three steps. It's prevent its detect, prevent and then recover. So detect in terms of capabilities to see if there are nefarious changes being happened to the file system right, and then prevent with Helios automatically detecting and with our smart assistant providing that notification and then, if need be, recover with our instant mass restore capability, going back to any point in time with no performance issue. This is not taking time for the rehydration spanning file system doing this instantly and allowing an organization to basically say, Sorry, not today, attackers. We don't need to pay you because we can instantly restore back to a safe point in time. >> So let's unpack those a little bit. If we could detect piece, I presume there's an analytics component to that. You're you're observing the the behavior of the of the backup corpus is that right there, Which is a logical place because it's got all the corporate data in there >> that that's correct. So last year we introduced Helios, which is our global SAS space management system, as machine learning capability in it. And that's providing that machine learning based monitoring to see what kinds of anomalies may be happening that is then proactively alerted to the team >> and then the recovery piece, a ce Well, like you said, it's it's got to be fast. Gotta have high performance, high performance data movement, and that's fundamental to your file system. Is that what I'm hearing >> that architecture that's correct. That's one of the differences of our modern backup solution. Versus some of the non hyper converge architectures is the distributed Web file system, which our CEO Motorin, he was formally at Google, helped with developing their file system has what's called instant ability to go back into any point in time and recover not just one of'em, but actually at a v M wear. A couple years ago, we demonstrated thousands of'em is at a time, and the reason for that is this Web scale file system, which is really unique to Kohi City. And that's what allows a nightie organization to not be held hostage because they can not have two potentially spend not just ours, but even days with the old legacy systems trying to rehydrate. You know these backups if they have to go back potentially many months in time because you don't know that that ran somewhere may have been introduced, not say yesterday, but might have been several months ago, and that's one of the key advantages of this instant master store. >> I mean, this is super important rights, too, because we're talking about very granular levels of being able to dial up dial down. You could tune it by application of high value applications. You can. You have much greater granularity some of the crap locations that not, maybe not. It's important. So flexibility is key there. How about customers, any new customers that you can talk about? >> Absolutely. So one of the ones since we're here, it's just go live. So Cisco, along with Kohi City, we've been working with one of the largest global manufacturers of semiconductors and other electronic equipment, Tokyo Electron, based in Tokyo but also here in the U. K. On the continent. And they had one of those older backup solutions and were challenged with time. It was taking them to back up the restores not being predictable. So they've gone with Cohesive e running on Cisco UCS. Because we're a software to find platform. We offer our software on our customers, you know, choice of Certified Solutions and Cisco UCS. And so they've started with backup, but they're now moving very quickly into archiving to the cloud, helping reduce their costs and get off of tape and to disaster recovery. Ultimately, so super excited that together with Cisco, we could help this customer modernized their data center and, you know, accelerate their hybrid clouds strategy at the same time. >> Awesome. And then you guys were also protecting the Sisqo Live network here. What? Tell us about that? >> Yes. Oh, you know, Cisco builds an amazing network here. I mean, you've seen the operations center, a huge team of people. But as we all know, things could go wrong. Potentially. And so we are protecting the critical services that Cisco's providing to all of this is go live attendees here. So should something happen, which I'm sure won't. Kohi City will be used to instantly recover and bring backup critical services like DNA and other areas that they're depending on to serve. All of the thousands of showgoers here. >> So super hot space. We talked about this at PM World. Actually, last couple of years. Just how much activity and interest there is and the whole parlance is changing land on one of you could come and I used to be you back up when the world was tape. Now you're talking about data protection data management, which could mean a lot of things to a lot of people to a storage folks. It's, you know, it's pretty specific, but you're seeing a massive evolution of the space cloud. Clearly is the underpinning of the tailwind on it requires you guy's toe. To respond is an industry and cohesive, specifically is a company. So I wanted to talk about some of those major trends and how you guys are responding and you're leading. And, >> yeah, I think you know, folks have been a little bit surprised, like, Wait a minute. What's this kind of sleepy industry? Why is it getting all this funding? I mean, our own Siri's de funding. Middle of last year, two hundred fifty million dollars. Softbank banked along with Sequoia, of course. But really, the trend, as is being talked about Francisco Live, is data is. I don't want to say the new oil, but it's the water of the world, right? I mean, it's absolutely crucial to any business, the's days other than your talent. It's your most important business asset. >> And >> the pressure on the board and the CEO and the CEO and turn to be agile to do more with that data to know what you have because here we are in Europe, GDP are increasing, regulations is super important. And so you know, this has really brought for be need to create holistic ways to organize and manage and have visibility toe all of that data, and it's massively fragmented. We put out that research last year, massive data fragmentation and most of that data has been kind of under the water line in most people's minds. You know, you think about your primary applications and data that's really only twenty percent, and the other eighty percent in test Evan Analytics and Backup has been pretty fragmented in Siloed, and it hasn't yet had that vision of How could we consolidate that and move it into a modern space until folks like Mode Erin, you know, founded Cohesive E and applied those same hyper converge techniques that he did at new tonics. So I think that this investment just further validates the fact that data is the most important business asset, and people are really in need of new solutions to manage it, protected and then ultimately do Mohr with it gain insights out of it. >> You know, just a couple comments on that one is, you know, data. We always joke about data's the new oil. It's even more valuable because you can use data in multiple places. You can only put oil in your car once. And so so companies of being in and to realize that how valuable it is trying to understand that value, how to protect that and the GPR. It's interesting. It's it's really. The fines went into effect in Europe last May, but it's become a template, a framework globally. People, you know us. Compensate. All right, we gotta prepare for GPR. And then local jurisdictions announced thing. Well, that's a decent starting point. And so it's not just confined to Europe. It's really on everybody's mind. >> It is, and you brought up the cloud before. And you know the cloud is a new way for people to be agile, and they're getting a lot of value out of it. But it also continues to fragment their data and the visibility. No. In talking Teo Large CIA O of, ah, Fortune one hundred large organisation. He's actually has less visibility in many ways in the cloud because of the ease of proliferation of test ever. And that is creating Mohr. You know, stress, I would say in the system and need for solutions to both provide an enhanced set agility. Move data to the cloud, easily move it out when you need to. But also with regulation, be able to identify and delete. As you know, with GPR if needed, the information that you know your customer may ask you to remove from your systems. >> Yeah, well, I love this conversation a little following cohesively because you guys are up leveling the entire game. I've been following the data protection space for decades now, and the problem with data protection is has always been a bolt on, and companies like, oh, he city both with the funding your your vision. He really forcing the industry. They're kind of re think data protection, not as a bolt on what is a fundamental component of digital strategies and data strategy. So it's fun watching you guys. Congratulations on all the growth. I know you got more to go. So thanks so much for coming in the Cuban and always a pleasure to see you. >> All of always a pleasure to be here with you guys. Thanks very much. >> You're very welcome. All right. Keep it right there, buddy. Stew Minimum and David Lantz from Cisco Live. Barcelona. You watching the Cube?

Published Date : Jan 30 2019

SUMMARY :

Sisqo Live Europe, brought to you by Cisco and its ecosystem partners. Lend great to see you again. So another S with you guys, that multiple shows. What's going on with you guys and Cisco? So you get full hyper convergence for your primary And those guys just want to talk about hype reflects anywhere. So you guys will. And to your point to the cloud. you know, kind of de centred. Yeah, so I think it's Ah, you know, I think customers air now understanding There was a random where announcement that you made last We don't need to pay you because we can instantly Which is a logical place because it's got all the corporate data in there And that's providing that machine learning based monitoring to see what and then the recovery piece, a ce Well, like you said, it's it's got to be fast. to go back potentially many months in time because you don't know that that ran somewhere How about customers, any new customers that you can talk about? on our customers, you know, choice of Certified Solutions and Cisco UCS. And then you guys were also protecting the Sisqo Live network here. the critical services that Cisco's providing to all of this is go live attendees So I wanted to talk about some of those major trends and how you guys are responding and yeah, I think you know, folks have been a little bit surprised, like, Wait a minute. to be agile to do more with that data to know what you have You know, just a couple comments on that one is, you know, data. needed, the information that you know your customer may ask you So thanks so much for coming in the Cuban and always a pleasure to see you. All of always a pleasure to be here with you guys. You watching the Cube?

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Carmen Crincoli, Microsoft | Microsoft Ignite 2018


 

>> Live, from Orlando Florida. It's theCUBE. Covering Microsoft Ignite. Brought to you by Cohesity and theCUBE's ecosystem partners. >> Welcome back everyone to theCUBE's live coverage of Microsoft Ignite here in Orlando Florida. I'm your host, Rebecca Knight, along with my co-host Stu Miniman. We're joined by Carmen Crincoli. He is the Senior Program Manager for Strategy and Ecosystem here at Microsoft. Thank you so much for coming on the show Carmen. >> Thanks for having me, really excited to be here, thank you. >> So, before the cameras were rolling, we were talking about, we're going to talk tech in this interview. But right now we're going to talk about solutions and really explain what the problems are that you are solving for your customers. So, talk about the customer pain points that you and your group are looking to solve. >> Yeah, so, the WSSD program when we conceived it was to address a problem that I think a lot of people who have worked with Microsoft technology are familiar with. We have some really great technology. It's very easy for users to dive in and start using it. But to really be successful requires an additional level of expertise that not every IT shop is going to have. And as it gets more and more complex and we start bringing more and more IT functionality into the stack with software defined technologies, that challenge grows. So we feel like we've had very, very great advances in what our tech can do. And we were watching our customers struggle with it. And we decided that the best was to fix it is to create a solution program and work with our partners who have that expertise to take them, bundle them together with a set of best practices, some additional testing and validation, to ensure that customers are selecting the right hardware for the tasks that they need, and then offer that as a solution instead of as build your own, which is a little more traditional in the Windows world. >> Explain how it works. So, there's a frazzled IT person who's saying "I don't know where to begin, but I have these issues," Can you give us some examples of how you hold a customer's hand through this and walk them through the process? >> Sure, sure. So, I would say the way we approach it right now is if a customer is going to get on board the HCI train, which more and more of them are, right, we're watching the industry shift in that direction pretty rapidly now. And they say, you know, I've heard about the Microsoft technologies, I've heard about storage spaces direct and your software defined networking capabilities, and I want to pursue that. You say, well, don't just go buy some servers or recycled servers off the shelf. We want you to contact some of our partners and talk to them about their solution catalog and say look, this is the kind of workload I'm going to consolidate on it, right. I'm consolidating virtual machines from multiple environments and it's going to be a mix of traditional line of business apps and SQL and I think I'm going to have about this I/O profile. They'll help you size a solution and then deliver it on site and integrate it into your business environment, right. It lets you get something that is more tailored to what you need rather than trying to piece it together. >> I want to hear a little bit more about HCI. But before we do, you got ecosystem as part of what you work on. I think most people understand that Microsoft has a huge ecosystem. Some things are really simple to understand. Server, you guys don't make servers. Operating system sits on top of that. The storage piece of it, I've worked in the storage industry for a number of years, worked with Microsoft. Obviously a huge player in the software layer. But that was back before we called it things like software defined storage and the software defined data center. And, heck, pre-cloud and all that stuff. So, you've been there 21 years at Microsoft. Give a little bit about, you know, where Microsoft thinks they need to play, how you partner with the ecosystem out there, and then we'll get into some of the new pieces. >> Yeah, we've always viewed storage as part of the air you breathe when you're computing, right. So we always partnered with the storage ecosystem to make sure that SANS and NAS devices work inside general IT environments. The shift to a software defined mentality involved some new learning, from a Microsoft perspective. We're taking on some of the integration responsibilities that storage vendors typically had. And that's part of what birthed WSSD as a solution program, was if we have to take on all of the integration work, how do we ensure that that's good quality, right. Just buying some disks off the shelf and plugging them into the motherboard does not result in an enterprise quality solution. So we had to define some parameters and then work with OEMs and partners who know how to do the integration work as well. Put some testing parameters around it, and turn out solutions, software defined solutions, that worked as well as the highly integrated, tested SANS and NAS devices of the last generation. >> Great. I think back, you know, like most people probably know Microsoft for SNB. You had protocols that help people with NAS devices. Help bring us up to speed when things like HCI. So, HCI, technology that's been around for a number of years. Many companies partner with Microsoft. Nutanix is a nearby partner of Microsoft. VMWare partners with Microsoft on some things but is a big player with their Vsan technologies. What do we call the Microsoft HCI solution and how would you compare and contrast it to the existing solutions out there? >> The traditional strength of Microsoft, right. We're very good at partnering, even with people we're competing with. We're very serious about it. Part of our core DNA is partnership and competition at the same time. So, our HCI stack is really about integrating the functionality that's there. I would say, the way we talk about it, there are three main components. There's the storage layer, which is storage spaces direct. There's the networking layer, which we just called software defined networking, which includes a network controller and network virtualisation capabilities. And then there's the computer layer, which is Hyper-V and the additional capabilities we layer in Hyper-V where we think we add a lot of value. Things like secured VMs and security capabilities that we add on. You layer those technologies together and integrate them into a solution with validated hardware, tested hardware, a network controller, network switch, and you get something that you can integrate into a business environment. These are all capabilities that are in Windows Server 2019 Datacenter, right. This is not an additional add-on. It's not a component. It's not a thing that you download. The solution program is really about taking the stuff that's in the box and making sure customers succeed in it without having to bring in all of the expertise into their IT staff from day one. >> Thanks for the explanation. The one piece, if I understand right, Azure stack also has storage space direct in it. So should I look at this as a spectrum of how Microsoft puts the pieces together and the WSSD is just one of the storage fundamental components that plays a few places along the stack? Am I getting that right? >> Yeah, it's kind of a foundational technology. Just like Windows Server is the host layer for all of the upper, higher level workloads, Storage Spaces Direct is the foundational layer for building our storage for all of these hyperconverged solutions. Azure stack's business goals are different, right. They're looking for Azure consistency and really giving an Azure experience to customer on prem. WSSD is more for the traditional IT shop that's used to running their own virtual environments and they're just looking for some infrastructure hosting of virtual workloads. So, we're covering different ends of, I would say, the IT maturity spectrum, with the two solutions. But the underlying pieces are very much the same, right. The plumbing that powers Azure stack and the plumbing that powers WSSD, and the plumbing that powers Azure, is built on a lot of the same core Windows technologies. >> So what are the outcomes of this solutions department? How have you seen changes in customer behavior, and helping them understand the best practices that have emerged as they implement and deploy different kinds of technologies. >> I'd say the biggest thing we've noticed is we get customers to be more successful when they work with our vendors, right. WSSD launched, the origninal version of the program for 2016, launched about nine months after we RTM'd. In that nine month gap, we had a lot of customers who were excited for the technology. We had been talking about it. Our engineering teams do a great job of making people excited for the technology. We get our lovely core IT geeks pumped for this stuff. And they were going out and implementing it on their own, right. Buying hardware that they thought conformed, trying to implement, and we were having a lot of struggles, right. It was generating more sport than we'd like. Customers weren't having the experience we wanted them to have with it. Since we've started the program, and we've been getting customers pointed at our hardware partners that deliver these solutions, we've had a lot more success, right. They're much happier with it. We have multiple stakeholders bought into the success of that customer solution, so the OEMs are just as invested as we are. As opposed to if you buy a server off the shelf, they're like the server's working fine, that's not my problem. So were just seeing a lot more customer success out of it and we want to keep driving that forward with the 2019 version of the solution program. >> Carmen, anything? there are so many announcements that were made at the show. Anything in your space that you want to make sure, kind of highlight that people might have missed? Everybody knows Windows Server 2019's coming, but what does that mean for your area, or anything outside of that one announcement? >> I think the most exciting thing is some of the tech improvements that I know really land with this IT Pro crowd that is here at Ignite. So, yesterday during Erin Chapel, our CVP of Windows Server, during her Windows Server 2019 intro session, she announced a number that we achieved on Windows Server 2019 with Intel scalable persistent memory. I forget what the name of it is. Anyway, it was a crazy IOPS number- >> Scalable optane stuff if I remember because we had Jake on yesterday from Intel. And he was like "Your mind will be blown when "you hear about this". >> It was like 13.8 million IOPS on a 12 node cluster right? We're continuing our engineering focus. We're an engineering company. We love making the tech better. And we're getting people excited for it. And then we're following up with the, by the way, if you want this kind of thing in your environment, or you need it, if you need to deliver it, these are the partners you work with. We partner with them. We engineer with them, right. This is a co-engineering program. Get the solution from them. So, I would say that's the new thing from my space, right. I get to piggyback on all of this great engineering announcement and work and excitement, and say this is how you succeed with the technology. Don't go do it yourself, go to these people. >> And we're here to help you. >> Yes, yes. That's why I'm really grateful that you guys had me on, right. One of the early things I've been told since I took over the program was I didn't even know Microsoft did HCI, and I definitely didn't know that you had a solution program. And I'm like, I know, I will work on fixing that. >> Well Carmen, look, HCI, we understand the virtualisation layer is critical there. Microsoft obviously, one of the top players in that industry. So, we've been waiting to hear a broader story from Microsoft in this space, so congrats on all the progress. >> Thank you, thank you. This has been a really fantastic show so far. We actually have hyperconverged expo in the application infrastructure area, where I have six of the WSSD partners just showing off their solutions in one tight space, along with the engineers who work on the HCI stack at Microsoft right nearby. So if anyone to come check it out, talk to the engineers who wrote the software, talk to the-- >> It's a really small space, you hyperconverged it, right? (Rebecca laughs) >> Yes, it is a hyperconverged space, yes. >> Well, Carmen, thank you so much and I encouage anyone who's here at Ignite to go check out that booth and see what it's all about. >> Great, thank you so much. >> I'm Rebecca Knight, for Stu Miniman, we will have more from theCUBE's live coverage of Microsoft Ignite coming up in just a little bit. (upbeat music)

Published Date : Sep 25 2018

SUMMARY :

Brought to you by Cohesity He is the Senior Program Manager for Strategy and Ecosystem Thanks for having me, really excited to So, before the cameras were rolling, the stack with software defined technologies, Can you give us some examples of how you And they say, you know, I've heard about the But before we do, you got ecosystem as part of part of the air you breathe when you're computing, right. I think back, you know, like most people probably know So, our HCI stack is really about integrating the components that plays a few places along the stack? and the plumbing that powers Azure, How have you seen changes in so the OEMs are just as invested as we are. kind of highlight that people might have missed? some of the tech improvements that we had Jake on yesterday from Intel. by the way, if you want this kind of thing in and I definitely didn't know that you had Microsoft obviously, one of the top players expo in the application infrastructure area, Well, Carmen, thank you so much and we will have more from theCUBE's live coverage

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Patrick Moorhead, Moor Insights & Strategy | Microsoft Ignite 2018


 

>> Live from Orlando, Florida, it's theCUBE. Covering Microsoft Ignite brought to you by Cohesity and theCUBE's ecosystem partners. >> Welcome back everyone to day two of theCUBE's live coverage of Microsoft Ignite. We are coming at you from the Orange County Civic Center in Orlando, Florida. I'm your host Rebecca Knight along with my cohost Stu Miniman. We're joined by Patrick Moorhead, he is the founder and president and principal analyst at Moor Insights and Strategy. Thank you so much for coming back on theCUBE. You're an esteemed CUBE-alum. >> Gosh, this is great, can you introduce me on every show please? >> I would be happy to, delighted. So, Patrick, before the cameras were rolling, we were talking about how many, frankly, tech shows you go to a year, you said 40, 45. >> That's about right, I live in Austin but I actually live on a bunch of planes, kind of like you do, right. >> Right, sure, sure, yeah. So this is your 10th time at Ignite, or an Ignite like show, it used to be called Tech Ed, so what are your first quick takes on what this conference, what you're seeing, what you're hearing? >> So, Microsoft has a three layers, like a three-layered cake to their events, you have developers, you have customers, and you have channel. And this is their customer event, so what might seem like rehash or maybe build or inspire is if customers who haven't heard this content before. So it's really about getting them engaged and things like that and, what we've heard, first and foremost is we had 45 Azure announcements but I think the biggest news, was about the open data initiative that, I mean, how often do you have the three CEOs up on stage, where most corporate data sits, with Microsoft, SAP and Adobe, so it was impressive. And that's probably the number one thing so far. >> Okay, let's dissect that a little bit. What are your thoughts, I mean, we're sort of questioning, it's a big idea, >> Right. >> When will customers actually see the benefit and is there a benefit to customers? >> When I look at these big corporate announcements I'm thinking, is this thing paper or is this thing real? How far does it go? I think this is real, when I dug under the covers, in some, bendy NDA things, that I can't give details on, there's meat there for sure, but, where this all starts, is, is two things are going on here, first of all, to do machine learning correctly, you have to have a lot of data, right? Yesterday's big data, is today's machine learning. You have to have it all together, now you can pull in disparate data sources into your enterprise and work on that data, but it takes a lot of cleansing, you know most of the time in machine learning, is getting the data ready to be worked on. What having data interoperability standards means is you can bring it in, you don't have to cleanse it as much and you can do real time analytics and machine learning on it so it's agreement that says, we're all going to come in, if it's customer data, it's going to look like this, with different fields. Now you would think that something like XML could do this, but this is bigger and from a competitive standpoint, I have to ask the big question, where's Salesforce and where's Oracle, they're the two odd-companies out. >> Really interesting, you mention that there were a lot of Azure announcements here, something like 45. I was reading, Corey Sanders had a blog of list and lists and lists and it's typical of what we've seen in the cloud. You and I, we go to AWS re:invents, and it's like let's talk about all the compute instances, all the cool new storage, all the things, there's cheering and, you know, everything for every micro and macro thing that happens there but are there any things that jumped out at you? We had Jeffrey Silver on the program yesterday, he talked about the databoxes, like the Edge and the various versions of those, those seem kind of interesting when we talk about data and movement but anything in the Azure space that got your attention? >> So aside from the databoxes, I was really excited about AutoML. So, three ways you can do ML, you can do everything from scratch, you can take an off-the-shelf API and then you can use something in the middle, which says, kind of like the three bears, right in the middle, Google at GCP announced something like this and so did Azure. And essentially what this is, is it auto-tags your data. It's smart enough to know that this is an image as opposed to you having to start at the very beginning and hand code some data and that's not automatic because the key, so a good example might be an audio machine learning algorithm where, you might need it for an airplane versus a car, versus the factory floor, versus a smart-phone application. Those are all different environments and your algorithm's going to be different but, as an enterprise, you might not have the PhD on staff to be able to do that, but you can't live with the off-the-shelf API. >> There's another thing that kind of struck me, a little bit of dissonance I saw there, you've got a Microsoft surface sitting in front of you, Microsoft, it's gotten into hardware in a lot of places when they talked about their IoT Ps, they're like, we're going to put things out on the edge and then on the other stream it's like, well, but they're open and it's APIs and developers and software, not only Adobe and SAP but the announcement with Red Hat, talking about all they're doing with Linux, how do you reconcile the, I've heard people in Microsoft, we want to completely vertically integrate the stack and that's not something that I hear from the Googles and Amazons of the world, I thought we were kind of past that, no one company can do it all. On the other hand, they're very open and give you choice. How do you look at those pieces? >> This all stems with the slowdown of Moore's Law for general CPU compute. So, as Moore's Law is slowing down, we need to throw different kinds of accelerators at the same problem, to keep innovation going up and to the right at an increasingly faster pace. So people have gone to GPUs and CPUs and almost every one of the big infrastructure players has done that, whether it's Google, Apple, AWS, they all have their own hardware. Part of it is to accelerate time to market, the other is to get a lock-in, I'm still trying to figure out which one this is. Microsoft is saying very clearly in Azure IoT Edge that you can send your data, even if you have their hardware to AWS and GCP and I think enterprises are going to take a quick look. I've been doing this almost 30 years, I've gray hairs to show for it, but you just have to pick your lock-in, right? Enterprise AT always gets locked in and the question is, what you lock in on? If you go with Oracle and then build applications around it you're locked into Oracle. If you go with a certain hardware OEM, you could be locked into a certain OEM with converse infrastructures, so, I think it's just picking the poison, you're going to have some people who are very comfortable with going all Microsoft and you'll have some people who'll want to piece part it together and look to the future We still have people who were brought up on mainframes and they don't want to be there, they want to have flexibility and fluidity. >> One of the things you were talking about with the slow down of Moore's Law, Microsoft and frankly every other technology giant is really trying to stay ahead of the innovation curve. Microsoft, 42 years old, a middle-aged company, and really, in the tech world, a really old company. Is Microsoft effective at this? I mean, do you see, that this is a creative, an ingenuitive, an innovative company? >> Microsoft is one of the only companies that has been able to turn the corner from being aged and experienced, I guess like us, and moving into the new zone and everybody, in everybody's work has had to do that. Analysts used to, I remember getting Gartner and IDC reports on paper, but now it's very different. We're up here on theCUBE, we're on Twitter, we're doing research reports, so everything is changing and Microsoft has had to change too. Five years ago, when Azure hadn't really taken off, they had a billion dollar write-down on surface hardware, bought Nokia, shut Nokia down, you're wondering, wait a second, what really is happening but then Satya came in and, to the company's credit, has completely turned around. I will state though there is a difference between perception and reality, I think a lot of the things that Ballmer had in place were absolutely the right things, I think Satya takes a lot of credit for it, but these things just didn't magically appear when Satya came in. So, a lot of the things they did were right, and it was perceived to be new leadership and therefore they're looking good. >> I love it, 'cause, we had quite a few Microsoft people on the program and a lot of them, 10, 20 years with the company, and they said, it's still the vision that we had but, one articulated it really well, he said, we're even more focused on the customer than ever and that gets me really excited. I want to ask you, when people look at this show, 'cause it's such a broad ecosystem, so many different views, what will they be talking about later in the year? My initial take coming out of it is, I'm a little surprised that we're talking so much about things like Windows 2019 and the Office 365, Microsoft 365, Dynamics 365, obviously it's Microsoft's strength, it's where they've got the most customers but are they operating still relevant in the future? >> I met with the program manager of Windows 29 servers last night, Erin, and she had said that they had 1,300 people they had to turn away from the Windows 2019 server and there was 4,000 people and I flippantly said, oh my gosh, I didn't think Microsoft still did that, it's all as a service, but I was just kidding of course. But I think that that shows the, how long it takes for people to move but I think what we'll be talking about in a year is has Microsoft delivered on its IoT commitments in IoT Azure Central, how much of their business has moved to, I'll call it, on-prem software in a box, to as a service, so, Dynamics 365, Office 365, and then finally I think we're going to see the workflow, and here's something that my head finally went ding on, is, Microsoft's strategy to surround the data and then do workflow on it to supplant Oracle SAP applications around the data. That's what I think we'll be talking about in a year. >> One other specific I wanted to see if you've got some data on because it's something we wanted to understand, Azure Stack, the press, all agog on it for the last couple of years, I really haven't talked to, I've talked to the partners that are working in, you know, people like Intel, Lenovo, and the like that are doing it but I haven't talked to too many customers they've employed service providers, yes, but what are you hearing, what are you seeing, is Azure Stack a big deal or is it just one of the pieces in a multi-cloud data applications strategy that Microsoft has? >> So, Azure Stack is a big deal and I think that it's getting to it's a slow boil, to be honest with you, the company changed hardware strategies, it was first an ODM model and then it went to an OEM model and a very narrow OEM model. The compute requirements to Azure Stack were too big to some people so it's a slow boil, but I look at what has the competition done? Now to be even a public cloud player, you have to have an on-prem capability. With Google it's PKE On-Prem, you have Greengrasss, and Amazon DB that's on-prem sitting on top of Vmware, so hyper-cloud, multi-cloud is a real thing, I just think it's getting a little bit slower start than everybody had thought. >> Great, well Patrick, thank you so much for your insights. These were terrific, it's great having you on the show. >> Thanks for having me. >> I'm Rebecca Knight for Stu Miniman, we will have more from theCUBE's live coverage of Microsoft Ignite in just a little bit. (upbeat music)

Published Date : Sep 25 2018

SUMMARY :

Covering Microsoft Ignite brought to you by Cohesity We are coming at you from the Orange County Civic Center tech shows you go to a year, you said 40, 45. kind of like you do, right. so what are your first quick takes and you have channel. What are your thoughts, I mean, we're sort of questioning, and you can do real time analytics and machine learning all the things, there's cheering and, you know, and then you can use something in the middle, and Amazons of the world, I thought we were and almost every one of the big infrastructure players One of the things you were talking about and Microsoft has had to change too. and they said, it's still the vision that we had and then finally I think we're going to see the workflow, and I think that it's getting to Great, well Patrick, thank you so much for your insights. of Microsoft Ignite in just a little bit.

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Day One Wrap | Grace Hopper 2017


 

>> Narrator: Live from Orlando, Florida, it's The Cube covering Grace Hopper's Celebration of Women in Computing brought to you by Silicon Angle Media. >> Welcome back to The Cube's coverage, we are wrapping up day one of the Grace Hopper Conference here in Orlando, Florida. I'm your host Rebecca Knight along with my co-host Jeff Frick. Jeff, it's been a great day. What's been your highlight? >> The highlight was Megan Smith. We were really excited to get her on. We tried to get her on last year. She's a really hard get. She's a super high energy, super smart lady. >> So she's the third CTO of the US. >> She's fantastic. We got to go back and read the tape, but there's probably an hours worth of material there that we could've followed up on her. I think she was definitely terrific. Also of course Brenda, the new president of Anita Borg. Doing the research on her and understanding what she accomplished at the Chicago Public School System is just phenomenal, something we've talked about time and time again. Are we turning a corner? Do people understand that computer science is a basic thing you need to learn in 2017, like biology, like math, like reading and writing and arithmetic. I think those were two terrific points of the day. >> I completely agree. We've had those veteran women of the technology industry, but then we also have had two young up-and-comers on the show, Jasmine Mustafa, who is the head of Roar for Good, which is a B Corp that makes a wearable self-defense tool, and then just now, we had Morgan Burman of Milkcrate, which does a platform that helps companies and non-profits measure and grow social and environmental impact. It's really exciting to sort of see the baton being passed, you can almost witness it being passed. >> Right, right, and it physically is. From Kelly, who we will have on Friday, to Brenda. So we're absolutely seeing it. >> Rebecca: Right. >> The other piece I'm taking away... You're hearing from Boston, and I hate to do the sports analogy, but I am anyway. Most great quarterbacks, Tom Brady, jumping out having a huge chip on their shoulder. They were passed up, they were told they couldn't do it, and they continued to excel, way more than the fair-haired people that have an easy path. So many times today, we heard about being told I can't do it and using that, internalizing that, as a force to do it. Debra, the physicist, being told by her mom overtly don't be a physicist a number of times, the Roar story again you can't do this. Even Erin Yang from Work Day said specifically I want to surprise people, I don't want them to know what I'm going to be able to do. Really, this concept of having a chip on your shoulder and taking negative feedback and turning it into a positive spin that you can feed off of, really important attribute that I don't think enough people have, they take the hit and absorb the hit instead of taking the hit and saying I'm going to prove you wrong. This does not apply to me. I think that's another thing that I did not expect to hear today but came up over and over again. >> No, I agree. We also heard, and this is really the Silicon Valley mantra right now, is Fail Fast. We've been hearing about redefining failure and one of our guests said don't even use that word, make up some sort of safe word for yourself. It's not that I failed in that endeavor, it didn't work out. But no matter what, you cannot be deterred from that. >> Right, and you got to learn and you got to move on. I tell people a lot of times, it's kind of like the old sales analogy. If your hit rate is one out of 10, that eighth call you should be excited about because that means you're almost to number 10. Don't be depressed that number eight doesn't go well, change your attitude. Eight is just one step closer to 10. Grind through one, two, three, four, five, six, seven. It is a real resilience, and that was another thing that came up is the people that win are not the smartest, they're not the fastest, they're not the most intelligent, but often they're just the most persistent. They just keep getting up. The age old saying. Give me the wisdom to worry about the things I can control and not to worry about the things I can't. It's not what happens to you, it's what you do about it. That's what you can control. You can't control what happens to you. But do you get up, do you take your hit, do you use it as motivation, do you move to the next step? Again, another great theme. Move to the next step. Take the next step and that will get you. A journey of a thousand miles starts with one step. >> That's right. That's right. Those are >> I'm cliche-ing, it's been a long week. >> This is the largest Grace Hopper ever. 18,000 attendees, 700 speakers, three days. We've got another big lineup tomorrow. We start right after the keynotes. We go through to the end of the day. Is there anything you want to highlight to our viewers that you are especially looking forward to tomorrow? >> What am I especially looking forward to tomorrow? Just another good day. The great thing about this show is you don't really know what you're going to get. >> It's true! >> A lot of the names, you don't know who they are. You don't necessarily know the companies. I think we will have a number of the Women of Vision award winners, which is always good. It's such an atypical tech show, which is why I love it. >> Rebecca: Which is why it's so fun! >> And we've got to get you warmed up, >> I know, it's freezing in here! >> Out into the heat. >> It's so true, it's so true. >> Alright well let's wrap it up. Great day, Rebecca. >> Great day it's always so much fun to cohost alongside you. >> Thanks for coming down. >> I'm Rebecca Knight for Jeff Frick, we will have more from Grace Hopper tomorrow! >> Jeff: Thanks for watching. (upbeat music)

Published Date : Oct 12 2017

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brought to you by Silicon Angle Media. Welcome back to The Cube's coverage, She's a really hard get. We got to go back and read the tape, of the technology industry, but then we also have had From Kelly, who we will have on Friday, to Brenda. I'm going to prove you wrong. It's not that I failed in that endeavor, it didn't work out. I can control and not to worry about the things I can't. That's right. that you are especially looking forward to tomorrow? is you don't really know what you're going to get. A lot of the names, you don't know who they are. Great day, Rebecca. Jeff: Thanks for watching.

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AI for Good Panel - Precision Medicine - SXSW 2017 - #IntelAI - #theCUBE


 

>> Welcome to the Intel AI Lounge. Today, we're very excited to share with you the Precision Medicine panel discussion. I'll be moderating the session. My name is Kay Erin. I'm the general manager of Health and Life Sciences at Intel. And I'm excited to share with you these three panelists that we have here. First is John Madison. He is a chief information medical officer and he is part of Kaiser Permanente. We're very excited to have you here. Thank you, John. >> Thank you. >> We also have Naveen Rao. He is the VP and general manager for the Artificial Intelligence Solutions at Intel. He's also the former CEO of Nervana, which was acquired by Intel. And we also have Bob Rogers, who's the chief data scientist at our AI solutions group. So, why don't we get started with our questions. I'm going to ask each of the panelists to talk, introduce themselves, as well as talk about how they got started with AI. So why don't we start with John? >> Sure, so can you hear me okay in the back? Can you hear? Okay, cool. So, I am a recovering evolutionary biologist and a recovering physician and a recovering geek. And I implemented the health record system for the first and largest region of Kaiser Permanente. And it's pretty obvious that most of the useful data in a health record, in lies in free text. So I started up a natural language processing team to be able to mine free text about a dozen years ago. So we can do things with that that you can't otherwise get out of health information. I'll give you an example. I read an article online from the New England Journal of Medicine about four years ago that said over half of all people who have had their spleen taken out were not properly vaccinated for a common form of pneumonia, and when your spleen's missing, you must have that vaccine or you die a very sudden death with sepsis. In fact, our medical director in Northern California's father died of that exact same scenario. So, when I read the article, I went to my structured data analytics team and to my natural language processing team and said please show me everybody who has had their spleen taken out and hasn't been appropriately vaccinated and we ran through about 20 million records in about three hours with the NLP team, and it took about three weeks with a structured data analytics team. That sounds counterintuitive but it actually happened that way. And it's not a competition for time only. It's a competition for quality and sensitivity and specificity. So we were able to indentify all of our members who had their spleen taken out, who should've had a pneumococcal vaccine. We vaccinated them and there are a number of people alive today who otherwise would've died absent that capability. So people don't really commonly associate natural language processing with machine learning, but in fact, natural language processing relies heavily and is the first really, highly successful example of machine learning. So we've done dozens of similar projects, mining free text data in millions of records very efficiently, very effectively. But it really helped advance the quality of care and reduce the cost of care. It's a natural step forward to go into the world of personalized medicine with the arrival of a 100-dollar genome, which is actually what it costs today to do a full genome sequence. Microbiomics, that is the ecosystem of bacteria that are in every organ of the body actually. And we know now that there is a profound influence of what's in our gut and how we metabolize drugs, what diseases we get. You can tell in a five year old, whether or not they were born by a vaginal delivery or a C-section delivery by virtue of the bacteria in the gut five years later. So if you look at the complexity of the data that exists in the genome, in the microbiome, in the health record with free text and you look at all the other sources of data like this streaming data from my wearable monitor that I'm part of a research study on Precision Medicine out of Stanford, there is a vast amount of disparate data, not to mention all the imaging, that really can collectively produce much more useful information to advance our understanding of science, and to advance our understanding of every individual. And then we can do the mash up of a much broader range of science in health care with a much deeper sense of data from an individual and to do that with structured questions and structured data is very yesterday. The only way we're going to be able to disambiguate those data and be able to operate on those data in concert and generate real useful answers from the broad array of data types and the massive quantity of data, is to let loose machine learning on all of those data substrates. So my team is moving down that pathway and we're very excited about the future prospects for doing that. >> Yeah, great. I think that's actually some of the things I'm very excited about in the future with some of the technologies we're developing. My background, I started actually being fascinated with computation in biological forms when I was nine. Reading and watching sci-fi, I was kind of a big dork which I pretty much still am. I haven't really changed a whole lot. Just basically seeing that machines really aren't all that different from biological entities, right? We are biological machines and kind of understanding how a computer works and how we engineer those things and trying to pull together concepts that learn from biology into that has always been a fascination of mine. As an undergrad, I was in the EE, CS world. Even then, I did some research projects around that. I worked in the industry for about 10 years designing chips, microprocessors, various kinds of ASICs, and then actually went back to school, quit my job, got a Ph.D. in neuroscience, computational neuroscience, to specifically understand what's the state of the art. What do we really understand about the brain? And are there concepts that we can take and bring back? Inspiration's always been we want to... We watch birds fly around. We want to figure out how to make something that flies. We extract those principles, and then build a plane. Don't necessarily want to build a bird. And so Nervana's really was the combination of all those experiences, bringing it together. Trying to push computation in a new a direction. Now, as part of Intel, we can really add a lot of fuel to that fire. I'm super excited to be part of Intel in that the technologies that we were developing can really proliferate and be applied to health care, can be applied to Internet, can be applied to every facet of our lives. And some of the examples that John mentioned are extremely exciting right now and these are things we can do today. And the generality of these solutions are just really going to hit every part of health care. I mean from a personal viewpoint, my whole family are MDs. I'm sort of the black sheep of the family. I don't have an MD. And it's always been kind of funny to me that knowledge is concentrated in a few individuals. Like you have a rare tumor or something like that, you need the guy who knows how to read this MRI. Why? Why is it like that? Can't we encapsulate that knowledge into a computer or into an algorithm, and democratize it. And the reason we couldn't do it is we just didn't know how. And now we're really getting to a point where we know how to do that. And so I want that capability to go to everybody. It'll bring the cost of healthcare down. It'll make all of us healthier. That affects everything about our society. So that's really what's exciting about it to me. >> That's great. So, as you heard, I'm Bob Rogers. I'm chief data scientist for analytics and artificial intelligence solutions at Intel. My mission is to put powerful analytics in the hands of every decision maker and when I think about Precision Medicine, decision makers are not just doctors and surgeons and nurses, but they're also case managers and care coordinators and probably most of all, patients. So the mission is really to put powerful analytics and AI capabilities in the hands of everyone in health care. It's a very complex world and we need tools to help us navigate it. So my background, I started with a Ph.D. in physics and I was computer modeling stuff, falling into super massive black holes. And there's a lot of applications for that in the real world. No, I'm kidding. (laughter) >> John: There will be, I'm sure. Yeah, one of these days. Soon as we have time travel. Okay so, I actually, about 1991, I was working on my post doctoral research, and I heard about neural networks, these things that could compute the way the brain computes. And so, I started doing some research on that. I wrote some papers and actually, it was an interesting story. The problem that we solved that got me really excited about neural networks, which have become deep learning, my office mate would come in. He was this young guy who was about to go off to grad school. He'd come in every morning. "I hate my project." Finally, after two weeks, what's your project? What's the problem? It turns out he had to circle these little fuzzy spots on these images from a telescope. So they were looking for the interesting things in a sky survey, and he had to circle them and write down their coordinates all summer. Anyone want to volunteer to do that? No? Yeah, he was very unhappy. So we took the first two weeks of data that he created doing his work by hand, and we trained an artificial neural network to do his summer project and finished it in about eight hours of computing. (crowd laughs) And so he was like yeah, this is amazing. I'm so happy. And we wrote a paper. I was the first author of course, because I was the senior guy at age 24. And he was second author. His first paper ever. He was very, very excited. So we have to fast forward about 20 years. His name popped up on the Internet. And so it caught my attention. He had just won the Nobel Prize in physics. (laughter) So that's where artificial intelligence will get you. (laughter) So thanks Naveen. Fast forwarding, I also developed some time series forecasting capabilities that allowed me to create a hedge fund that I ran for 12 years. After that, I got into health care, which really is the center of my passion. Applying health care to figuring out how to get all the data from all those siloed sources, put it into the cloud in a secure way, and analyze it so you can actually understand those cases that John was just talking about. How do you know that that person had had a splenectomy and that they needed to get that pneumovax? You need to be able to search all the data, so we used AI, natural language processing, machine learning, to do that and then two years ago, I was lucky enough to join Intel and, in the intervening time, people like Naveen actually thawed the AI winter and we're really in a spring of amazing opportunities with AI, not just in health care but everywhere, but of course, the health care applications are incredibly life saving and empowering so, excited to be here on this stage with you guys. >> I just want to cue off of your comment about the role of physics in AI and health care. So the field of microbiomics that I referred to earlier, bacteria in our gut. There's more bacteria in our gut than there are cells in our body. There's 100 times more DNA in that bacteria than there is in the human genome. And we're now discovering a couple hundred species of bacteria a year that have never been identified under a microscope just by their DNA. So it turns out the person who really catapulted the study and the science of microbiomics forward was an astrophysicist who did his Ph.D. in Steven Hawking's lab on the collision of black holes and then subsequently, put the other team in a virtual reality, and he developed the first super computing center and so how did he get an interest in microbiomics? He has the capacity to do high performance computing and the kind of advanced analytics that are required to look at a 100 times the volume of 3.2 billion base pairs of the human genome that are represented in the bacteria in our gut, and that has unleashed the whole science of microbiomics, which is going to really turn a lot of our assumptions of health and health care upside down. >> That's great, I mean, that's really transformational. So a lot of data. So I just wanted to let the audience know that we want to make this an interactive session, so I'll be asking for questions in a little bit, but I will start off with one question so that you can think about it. So I wanted to ask you, it looks like you've been thinking a lot about AI over the years. And I wanted to understand, even though AI's just really starting in health care, what are some of the new trends or the changes that you've seen in the last few years that'll impact how AI's being used going forward? >> So I'll start off. There was a paper published by a guy by the name of Tegmark at Harvard last summer that, for the first time, explained why neural networks are efficient beyond any mathematical model we predict. And the title of the paper's fun. It's called Deep Learning Versus Cheap Learning. So there were two sort of punchlines of the paper. One is is that the reason that mathematics doesn't explain the efficiency of neural networks is because there's a higher order of mathematics called physics. And the physics of the underlying data structures determined how efficient you could mine those data using machine learning tools. Much more so than any mathematical modeling. And so the second thing that was a reel from that paper is that the substrate of the data that you're operating on and the natural physics of those data have inherent levels of complexity that determine whether or not a 12th layer of neural net will get you where you want to go really fast, because when you do the modeling, for those math geeks in the audience, a factorial. So if there's 12 layers, there's 12 factorial permutations of different ways you could sequence the learning through those data. When you have 140 layers of a neural net, it's a much, much, much bigger number of permutations and so you end up being hardware-bound. And so, what Max Tegmark basically said is you can determine whether to do deep learning or cheap learning based upon the underlying physics of the data substrates you're operating on and have a good insight into how to optimize your hardware and software approach to that problem. >> So another way to put that is that neural networks represent the world in the way the world is sort of built. >> Exactly. >> It's kind of hierarchical. It's funny because, sort of in retrospect, like oh yeah, that kind of makes sense. But when you're thinking about it mathematically, we're like well, anything... The way a neural can represent any mathematical function, therfore, it's fully general. And that's the way we used to look at it, right? So now we're saying, well actually decomposing the world into different types of features that are layered upon each other is actually a much more efficient, compact representation of the world, right? I think this is actually, precisely the point of kind of what you're getting at. What's really exciting now is that what we were doing before was sort of building these bespoke solutions for different kinds of data. NLP, natural language processing. There's a whole field, 25 plus years of people devoted to figuring out features, figuring out what structures make sense in this particular context. Those didn't carry over at all to computer vision. Didn't carry over at all to time series analysis. Now, with neural networks, we've seen it at Nervana, and now part of Intel, solving customers' problems. We apply a very similar set of techniques across all these different types of data domains and solve them. All data in the real world seems to be hierarchical. You can decompose it into this hierarchy. And it works really well. Our brains are actually general structures. As a neuroscientist, you can look at different parts of your brain and there are differences. Something that takes in visual information, versus auditory information is slightly different but they're much more similar than they are different. So there is something invariant, something very common between all of these different modalities and we're starting to learn that. And this is extremely exciting to me trying to understand the biological machine that is a computer, right? We're figurig it out, right? >> One of the really fun things that Ray Chrisfall likes to talk about is, and it falls in the genre of biomimmicry, and how we actually replicate biologic evolution in our technical solutions so if you look at, and we're beginning to understand more and more how real neural nets work in our cerebral cortex. And it's sort of a pyramid structure so that the first pass of a broad base of analytics, it gets constrained to the next pass, gets constrained to the next pass, which is how information is processed in the brain. So we're discovering increasingly that what we've been evolving towards, in term of architectures of neural nets, is approximating the architecture of the human cortex and the more we understand the human cortex, the more insight we get to how to optimize neural nets, so when you think about it, with millions of years of evolution of how the cortex is structured, it shouldn't be a surprise that the optimization protocols, if you will, in our genetic code are profoundly efficient in how they operate. So there's a real role for looking at biologic evolutionary solutions, vis a vis technical solutions, and there's a friend of mine who worked with who worked with George Church at Harvard and actually published a book on biomimmicry and they wrote the book completely in DNA so if all of you have your home DNA decoder, you can actually read the book on your DNA reader, just kidding. >> There's actually a start up I just saw in the-- >> Read-Write DNA, yeah. >> Actually it's a... He writes something. What was it? (response from crowd member) Yeah, they're basically encoding information in DNA as a storage medium. (laughter) The company, right? >> Yeah, that same friend of mine who coauthored that biomimmicry book in DNA also did the estimate of the density of information storage. So a cubic centimeter of DNA can store an hexabyte of data. I mean that's mind blowing. >> Naveen: Highly done soon. >> Yeah that's amazing. Also you hit upon a really important point there, that one of the things that's changed is... Well, there are two major things that have changed in my perception from let's say five to 10 years ago, when we were using machine learning. You could use data to train models and make predictions to understand complex phenomena. But they had limited utility and the challenge was that if I'm trying to build on these things, I had to do a lot of work up front. It was called feature engineering. I had to do a lot of work to figure out what are the key attributes of that data? What are the 10 or 20 or 100 pieces of information that I should pull out of the data to feed to the model, and then the model can turn it into a predictive machine. And so, what's really exciting about the new generation of machine learning technology, and particularly deep learning, is that it can actually learn from example data those features without you having to do any preprogramming. That's why Naveen is saying you can take the same sort of overall approach and apply it to a bunch of different problems. Because you're not having to fine tune those features. So at the end of the day, the two things that have changed to really enable this evolution is access to more data, and I'd be curious to hear from you where you're seeing data come from, what are the strategies around that. So access to data, and I'm talking millions of examples. So 10,000 examples most times isn't going to cut it. But millions of examples will do it. And then, the other piece is the computing capability to actually take millions of examples and optimize this algorithm in a single lifetime. I mean, back in '91, when I started, we literally would have thousands of examples and it would take overnight to run the thing. So now in the world of millions, and you're putting together all of these combinations, the computing has changed a lot. I know you've made some revolutionary advances in that. But I'm curious about the data. Where are you seeing interesting sources of data for analytics? >> So I do some work in the genomics space and there are more viable permutations of the human genome than there are people who have ever walked the face of the earth. And the polygenic determination of a phenotypic expression translation, what are genome does to us in our physical experience in health and disease is determined by many, many genes and the interaction of many, many genes and how they are up and down regulated. And the complexity of disambiguating which 27 genes are affecting your diabetes and how are they up and down regulated by different interventions is going to be different than his. It's going to be different than his. And we already know that there's four or five distinct genetic subtypes of type II diabetes. So physicians still think there's one disease called type II diabetes. There's actually at least four or five genetic variants that have been identified. And so, when you start thinking about disambiguating, particularly when we don't know what 95 percent of DNA does still, what actually is the underlining cause, it will require this massive capability of developing these feature vectors, sometimes intuiting it, if you will, from the data itself. And other times, taking what's known knowledge to develop some of those feature vectors, and be able to really understand the interaction of the genome and the microbiome and the phenotypic data. So the complexity is high and because the variation complexity is high, you do need these massive members. Now I'm going to make a very personal pitch here. So forgive me, but if any of you have any role in policy at all, let me tell you what's happening right now. The Genomic Information Nondiscrimination Act, so called GINA, written by a friend of mine, passed a number of years ago, says that no one can be discriminated against for health insurance based upon their genomic information. That's cool. That should allow all of you to feel comfortable donating your DNA to science right? Wrong. You are 100% unprotected from discrimination for life insurance, long term care and disability. And it's being practiced legally today and there's legislation in the House, in mark up right now to completely undermine the existing GINA legislation and say that whenever there's another applicable statute like HIPAA, that the GINA is irrelevant, that none of the fines and penalties are applicable at all. So we need a ton of data to be able to operate on. We will not be getting a ton of data to operate on until we have the kind of protection we need to tell people, you can trust us. You can give us your data, you will not be subject to discrimination. And that is not the case today. And it's being further undermined. So I want to make a plea to any of you that have any policy influence to go after that because we need this data to help the understanding of human health and disease and we're not going to get it when people look behind the curtain and see that discrimination is occurring today based upon genetic information. >> Well, I don't like the idea of being discriminated against based on my DNA. Especially given how little we actually know. There's so much complexity in how these things unfold in our own bodies, that I think anything that's being done is probably childishly immature and oversimplifying. So it's pretty rough. >> I guess the translation here is that we're all unique. It's not just a Disney movie. (laughter) We really are. And I think one of the strengths that I'm seeing, kind of going back to the original point, of these new techniques is it's going across different data types. It will actually allow us to learn more about the uniqueness of the individual. It's not going to be just from one data source. They were collecting data from many different modalities. We're collecting behavioral data from wearables. We're collecting things from scans, from blood tests, from genome, from many different sources. The ability to integrate those into a unified picture, that's the important thing that we're getting toward now. That's what I think is going to be super exciting here. Think about it, right. I can tell you to visual a coin, right? You can visualize a coin. Not only do you visualize it. You also know what it feels like. You know how heavy it is. You have a mental model of that from many different perspectives. And if I take away one of those senses, you can still identify the coin, right? If I tell you to put your hand in your pocket, and pick out a coin, you probably can do that with 100% reliability. And that's because we have this generalized capability to build a model of something in the world. And that's what we need to do for individuals is actually take all these different data sources and come up with a model for an individual and you can actually then say what drug works best on this. What treatment works best on this? It's going to get better with time. It's not going to be perfect, because this is what a doctor does, right? A doctor who's very experienced, you're a practicing physician right? Back me up here. That's what you're doing. You basically have some categories. You're taking information from the patient when you talk with them, and you're building a mental model. And you apply what you know can work on that patient, right? >> I don't have clinic hours anymore, but I do take care of many friends and family. (laughter) >> You used to, you used to. >> I practiced for many years before I became a full-time geek. >> I thought you were a recovering geek. >> I am. (laughter) I do more policy now. >> He's off the wagon. >> I just want to take a moment and see if there's anyone from the audience who would like to ask, oh. Go ahead. >> We've got a mic here, hang on one second. >> I have tons and tons of questions. (crosstalk) Yes, so first of all, the microbiome and the genome are really complex. You already hit about that. Yet most of the studies we do are small scale and we have difficulty repeating them from study to study. How are we going to reconcile all that and what are some of the technical hurdles to get to the vision that you want? >> So primarily, it's been the cost of sequencing. Up until a year ago, it's $1000, true cost. Now it's $100, true cost. And so that barrier is going to enable fairly pervasive testing. It's not a real competitive market becaue there's one sequencer that is way ahead of everybody else. So the price is not $100 yet. The cost is below $100. So as soon as there's competition to drive the cost down, and hopefully, as soon as we all have the protection we need against discrimination, as I mentioned earlier, then we will have large enough sample sizes. And so, it is our expectation that we will be able to pool data from local sources. I chair the e-health work group at the Global Alliance for Genomics and Health which is working on this very issue. And rather than pooling all the data into a single, common repository, the strategy, and we're developing our five-year plan in a month in London, but the goal is to have a federation of essentially credentialed data enclaves. That's a formal method. HHS already does that so you can get credentialed to search all the data that Medicare has on people that's been deidentified according to HIPPA. So we want to provide the same kind of service with appropriate consent, at an international scale. And there's a lot of nations that are talking very much about data nationality so that you can't export data. So this approach of a federated model to get at data from all the countries is important. The other thing is a block-chain technology is going to be very profoundly useful in this context. So David Haussler of UC Santa Cruz is right now working on a protocol using an open block-chain, public ledger, where you can put out. So for any typical cancer, you may have a half dozen, what are called sematic variance. Cancer is a genetic disease so what has mutated to cause it to behave like a cancer? And if we look at those biologically active sematic variants, publish them on a block chain that's public, so there's not enough data there to reidentify the patient. But if I'm a physician treating a woman with breast cancer, rather than say what's the protocol for treating a 50-year-old woman with this cell type of cancer, I can say show me all the people in the world who have had this cancer at the age of 50, wit these exact six sematic variants. Find the 200 people worldwide with that. Ask them for consent through a secondary mechanism to donate everything about their medical record, pool that information of the core of 200 that exactly resembles the one sitting in front of me, and find out, of the 200 ways they were treated, what got the best results. And so, that's the kind of future where a distributed, federated architecture will allow us to query and obtain a very, very relevant cohort, so we can basically be treating patients like mine, sitting right in front of me. Same thing applies for establishing research cohorts. There's some very exciting stuff at the convergence of big data analytics, machine learning, and block chaining. >> And this is an area that I'm really excited about and I think we're excited about generally at Intel. They actually have something called the Collaborative Cancer Cloud, which is this kind of federated model. We have three different academic research centers. Each of them has a very sizable and valuable collection of genomic data with phenotypic annotations. So you know, pancreatic cancer, colon cancer, et cetera, and we've actually built a secure computing architecture that can allow a person who's given the right permissions by those organizations to ask a specific question of specific data without ever sharing the data. So the idea is my data's really important to me. It's valuable. I want us to be able to do a study that gets the number from the 20 pancreatic cancer patients in my cohort, up to the 80 that we have in the whole group. But I can't do that if I'm going to just spill my data all over the world. And there are HIPAA and compliance reasons for that. There are business reasons for that. So what we've built at Intel is this platform that allows you to do different kinds of queries on this genetic data. And reach out to these different sources without sharing it. And then, the work that I'm really involved in right now and that I'm extremely excited about... This also touches on something that both of you said is it's not sufficient to just get the genome sequences. You also have to have the phenotypic data. You have to know what cancer they've had. You have to know that they've been treated with this drug and they've survived for three months or that they had this side effect. That clinical data also needs to be put together. It's owned by other organizations, right? Other hospitals. So the broader generalization of the Collaborative Cancer Cloud is something we call the data exchange. And it's a misnomer in a sense that we're not actually exchanging data. We're doing analytics on aggregated data sets without sharing it. But it really opens up a world where we can have huge populations and big enough amounts of data to actually train these models and draw the thread in. Of course, that really then hits home for the techniques that Nervana is bringing to the table, and of course-- >> Stanford's one of your academic medical centers? >> Not for that Collaborative Cancer Cloud. >> The reason I mentioned Standford is because the reason I'm wearing this FitBit is because I'm a research subject at Mike Snyder's, the chair of genetics at Stanford, IPOP, intrapersonal omics profile. So I was fully sequenced five years ago and I get four full microbiomes. My gut, my mouth, my nose, my ears. Every three months and I've done that for four years now. And about a pint of blood. And so, to your question of the density of data, so a lot of the problem with applying these techniques to health care data is that it's basically a sparse matrix and there's a lot of discontinuities in what you can find and operate on. So what Mike is doing with the IPOP study is much the same as you described. Creating a highly dense longitudinal set of data that will help us mitigate the sparse matrix problem. (low volume response from audience member) Pardon me. >> What's that? (low volume response) (laughter) >> Right, okay. >> John: Lost the school sample. That's got to be a new one I've heard now. >> Okay, well, thank you so much. That was a great question. So I'm going to repeat this and ask if there's another question. You want to go ahead? >> Hi, thanks. So I'm a journalist and I report a lot on these neural networks, a system that's beter at reading mammograms than your human radiologists. Or a system that's better at predicting which patients in the ICU will get sepsis. These sort of fascinating academic studies that I don't really see being translated very quickly into actual hospitals or clinical practice. Seems like a lot of the problems are regulatory, or liability, or human factors, but how do you get past that and really make this stuff practical? >> I think there's a few things that we can do there and I think the proof points of the technology are really important to start with in this specific space. In other places, sometimes, you can start with other things. But here, there's a real confidence problem when it comes to health care, and for good reason. We have doctors trained for many, many years. School and then residencies and other kinds of training. Because we are really, really conservative with health care. So we need to make sure that technology's well beyond just the paper, right? These papers are proof points. They get people interested. They even fuel entire grant cycles sometimes. And that's what we need to happen. It's just an inherent problem, its' going to take a while. To get those things to a point where it's like well, I really do trust what this is saying. And I really think it's okay to now start integrating that into our standard of care. I think that's where you're seeing it. It's frustrating for all of us, believe me. I mean, like I said, I think personally one of the biggest things, I want to have an impact. Like when I go to my grave, is that we used machine learning to improve health care. We really do feel that way. But it's just not something we can do very quickly and as a business person, I don't actually look at those use cases right away because I know the cycle is just going to be longer. >> So to your point, the FDA, for about four years now, has understood that the process that has been given to them by their board of directors, otherwise known as Congress, is broken. And so they've been very actively seeking new models of regulation and what's really forcing their hand is regulation of devices and software because, in many cases, there are black box aspects of that and there's a black box aspect to machine learning. Historically, Intel and others are making inroads into providing some sort of traceability and transparency into what happens in that black box rather than say, overall we get better results but once in a while we kill somebody. Right? So there is progress being made on that front. And there's a concept that I like to use. Everyone knows Ray Kurzweil's book The Singularity Is Near? Well, I like to think that diadarity is near. And the diadarity is where you have human transparency into what goes on in the black box and so maybe Bob, you want to speak a little bit about... You mentioned that, in a prior discussion, that there's some work going on at Intel there. >> Yeah, absolutely. So we're working with a number of groups to really build tools that allow us... In fact Naveen probably can talk in even more detail than I can, but there are tools that allow us to actually interrogate machine learning and deep learning systems to understand, not only how they respond to a wide variety of situations but also where are there biases? I mean, one of the things that's shocking is that if you look at the clinical studies that our drug safety rules are based on, 50 year old white guys are the peak of that distribution, which I don't see any problem with that, but some of you out there might not like that if you're taking a drug. So yeah, we want to understand what are the biases in the data, right? And so, there's some new technologies. There's actually some very interesting data-generative technologies. And this is something I'm also curious what Naveen has to say about, that you can generate from small sets of observed data, much broader sets of varied data that help probe and fill in your training for some of these systems that are very data dependent. So that takes us to a place where we're going to start to see deep learning systems generating data to train other deep learning systems. And they start to sort of go back and forth and you start to have some very nice ways to, at least, expose the weakness of these underlying technologies. >> And that feeds back to your question about regulatory oversight of this. And there's the fascinating, but little known origin of why very few women are in clinical studies. Thalidomide causes birth defects. So rather than say pregnant women can't be enrolled in drug trials, they said any woman who is at risk of getting pregnant cannot be enrolled. So there was actually a scientific meritorious argument back in the day when they really didn't know what was going to happen post-thalidomide. So it turns out that the adverse, unintended consequence of that decision was we don't have data on women and we know in certain drugs, like Xanax, that the metabolism is so much slower, that the typical dosing of Xanax is women should be less than half of that for men. And a lot of women have had very serious adverse effects by virtue of the fact that they weren't studied. So the point I want to illustrate with that is that regulatory cycles... So people have known for a long time that was like a bad way of doing regulations. It should be changed. It's only recently getting changed in any meaningful way. So regulatory cycles and legislative cycles are incredibly slow. The rate of exponential growth in technology is exponential. And so there's impedance mismatch between the cycle time for regulation cycle time for innovation. And what we need to do... I'm working with the FDA. I've done four workshops with them on this very issue. Is that they recognize that they need to completely revitalize their process. They're very interested in doing it. They're not resisting it. People think, oh, they're bad, the FDA, they're resisting. Trust me, there's nobody on the planet who wants to revise these review processes more than the FDA itself. And so they're looking at models and what I recommended is global cloud sourcing and the FDA could shift from a regulatory role to one of doing two things, assuring the people who do their reviews are competent, and assuring that their conflicts of interest are managed, because if you don't have a conflict of interest in this very interconnected space, you probably don't know enough to be a reviewer. So there has to be a way to manage the conflict of interest and I think those are some of the keypoints that the FDA is wrestling with because there's type one and type two errors. If you underregulate, you end up with another thalidomide and people born without fingers. If you overregulate, you prevent life saving drugs from coming to market. So striking that balance across all these different technologies is extraordinarily difficult. If it were easy, the FDA would've done it four years ago. It's very complicated. >> Jumping on that question, so all three of you are in some ways entrepreneurs, right? Within your organization or started companies. And I think it would be good to talk a little bit about the business opportunity here, where there's a huge ecosystem in health care, different segments, biotech, pharma, insurance payers, etc. Where do you see is the ripe opportunity or industry, ready to really take this on and to make AI the competitive advantage. >> Well, the last question also included why aren't you using the result of the sepsis detection? We do. There were six or seven published ways of doing it. We did our own data, looked at it, we found a way that was superior to all the published methods and we apply that today, so we are actually using that technology to change clinical outcomes. As far as where the opportunities are... So it's interesting. Because if you look at what's going to be here in three years, we're not going to be using those big data analytics models for sepsis that we are deploying today, because we're just going to be getting a tiny aliquot of blood, looking for the DNA or RNA of any potential infection and we won't have to infer that there's a bacterial infection from all these other ancillary, secondary phenomenon. We'll see if the DNA's in the blood. So things are changing so fast that the opportunities that people need to look for are what are generalizable and sustainable kind of wins that are going to lead to a revenue cycle that are justified, a venture capital world investing. So there's a lot of interesting opportunities in the space. But I think some of the biggest opportunities relate to what Bob has talked about in bringing many different disparate data sources together and really looking for things that are not comprehensible in the human brain or in traditional analytic models. >> I think we also got to look a little bit beyond direct care. We're talking about policy and how we set up standards, these kinds of things. That's one area. That's going to drive innovation forward. I completely agree with that. Direct care is one piece. How do we scale out many of the knowledge kinds of things that are embedded into one person's head and get them out to the world, democratize that. Then there's also development. The underlying technology's of medicine, right? Pharmaceuticals. The traditional way that pharmaceuticals is developed is actually kind of funny, right? A lot of it was started just by chance. Penicillin, a very famous story right? It's not that different today unfortunately, right? It's conceptually very similar. Now we've got more science behind it. We talk about domains and interactions, these kinds of things but fundamentally, the problem is what we in computer science called NP hard, it's too difficult to model. You can't solve it analytically. And this is true for all these kinds of natural sorts of problems by the way. And so there's a whole field around this, molecular dynamics and modeling these sorts of things, that are actually being driven forward by these AI techniques. Because it turns out, our brain doesn't do magic. It actually doesn't solve these problems. It approximates them very well. And experience allows you to approximate them better and better. Actually, it goes a little bit to what you were saying before. It's like simulations and forming your own networks and training off each other. There are these emerging dynamics. You can simulate steps of physics. And you come up with a system that's much too complicated to ever solve. Three pool balls on a table is one such system. It seems pretty simple. You know how to model that, but it actual turns out you can't predict where a balls going to be once you inject some energy into that table. So something that simple is already too complex. So neural network techniques actually allow us to start making those tractable. These NP hard problems. And things like molecular dynamics and actually understanding how different medications and genetics will interact with each other is something we're seeing today. And so I think there's a huge opportunity there. We've actually worked with customers in this space. And I'm seeing it. Like Rosch is acquiring a few different companies in space. They really want to drive it forward, using big data to drive drug development. It's kind of counterintuitive. I never would've thought it had I not seen it myself. >> And there's a big related challenge. Because in personalized medicine, there's smaller and smaller cohorts of people who will benefit from a drug that still takes two billion dollars on average to develop. That is unsustainable. So there's an economic imperative of overcoming the cost and the cycle time for drug development. >> I want to take a go at this question a little bit differently, thinking about not so much where are the industry segments that can benefit from AI, but what are the kinds of applications that I think are most impactful. So if this is what a skilled surgeon needs to know at a particular time to care properly for a patient, this is where most, this area here, is where most surgeons are. They are close to the maximum knowledge and ability to assimilate as they can be. So it's possible to build complex AI that can pick up on that one little thing and move them up to here. But it's not a gigantic accelerator, amplifier of their capability. But think about other actors in health care. I mentioned a couple of them earlier. Who do you think the least trained actor in health care is? >> John: Patients. >> Yes, the patients. The patients are really very poorly trained, including me. I'm abysmal at figuring out who to call and where to go. >> Naveen: You know as much the doctor right? (laughing) >> Yeah, that's right. >> My doctor friends always hate that. Know your diagnosis, right? >> Yeah, Dr. Google knows. So the opportunities that I see that are really, really exciting are when you take an AI agent, like sometimes I like to call it contextually intelligent agent, or a CIA, and apply it to a problem where a patient has a complex future ahead of them that they need help navigating. And you use the AI to help them work through. Post operative. You've got PT. You've got drugs. You've got to be looking for side effects. An agent can actually help you navigate. It's like your own personal GPS for health care. So it's giving you the inforamation that you need about you for your care. That's my definition of Precision Medicine. And it can include genomics, of course. But it's much bigger. It's that broader picture and I think that a sort of agent way of thinking about things and filling in the gaps where there's less training and more opportunity, is very exciting. >> Great start up idea right there by the way. >> Oh yes, right. We'll meet you all out back for the next start up. >> I had a conversation with the head of the American Association of Medical Specialties just a couple of days ago. And what she was saying, and I'm aware of this phenomenon, but all of the medical specialists are saying, you're killing us with these stupid board recertification trivia tests that you're giving us. So if you're a cardiologist, you have to remember something that happens in one in 10 million people, right? And they're saying that irrelevant anymore, because we've got advanced decision support coming. We have these kinds of analytics coming. Precisely what you're saying. So it's human augmentation of decision support that is coming at blazing speed towards health care. So in that context, it's much more important that you have a basic foundation, you know how to think, you know how to learn, and you know where to look. So we're going to be human-augmented learning systems much more so than in the past. And so the whole recertification process is being revised right now. (inaudible audience member speaking) Speak up, yeah. (person speaking) >> What makes it fathomable is that you can-- (audience member interjects inaudibly) >> Sure. She was saying that our brain is really complex and large and even our brains don't know how our brains work, so... are there ways to-- >> What hope do we have kind of thing? (laughter) >> It's a metaphysical question. >> It circles all the way down, exactly. It's a great quote. I mean basically, you can decompose every system. Every complicated system can be decomposed into simpler, emergent properties. You lose something perhaps with each of those, but you get enough to actually understand most of the behavior. And that's really how we understand the world. And that's what we've learned in the last few years what neural network techniques can allow us to do. And that's why our brain can understand our brain. (laughing) >> Yeah, I'd recommend reading Chris Farley's last book because he addresses that issue in there very elegantly. >> Yeah we're seeing some really interesting technologies emerging right now where neural network systems are actually connecting other neural network systems in networks. You can see some very compelling behavior because one of the things I like to distinguish AI versus traditional analytics is we used to have question-answering systems. I used to query a database and create a report to find out how many widgets I sold. Then I started using regression or machine learning to classify complex situations from this is one of these and that's one of those. And then as we've moved more recently, we've got these AI-like capabilities like being able to recognize that there's a kitty in the photograph. But if you think about it, if I were to show you a photograph that happened to have a cat in it, and I said, what's the answer, you'd look at me like, what are you talking about? I have to know the question. So where we're cresting with these connected sets of neural systems, and with AI in general, is that the systems are starting to be able to, from the context, understand what the question is. Why would I be asking about this picture? I'm a marketing guy, and I'm curious about what Legos are in the thing or what kind of cat it is. So it's being able to ask a question, and then take these question-answering systems, and actually apply them so that's this ability to understand context and ask questions that we're starting to see emerge from these more complex hierarchical neural systems. >> There's a person dying to ask a question. >> Sorry. You have hit on several different topics that all coalesce together. You mentioned personalized models. You mentioned AI agents that could help you as you're going through a transitionary period. You mentioned data sources, especially across long time periods. Who today has access to enough data to make meaningful progress on that, not just when you're dealing with an issue, but day-to-day improvement of your life and your health? >> Go ahead, great question. >> That was a great question. And I don't think we have a good answer to it. (laughter) I'm sure John does. Well, I think every large healthcare organization and various healthcare consortiums are working very hard to achieve that goal. The problem remains in creating semantic interoperatability. So I spent a lot of my career working on semantic interoperatability. And the problem is that if you don't have well-defined, or self-defined data, and if you don't have well-defined and documented metadata, and you start operating on it, it's real easy to reach false conclusions and I can give you a classic example. It's well known, with hundreds of studies looking at when you give an antibiotic before surgery and how effective it is in preventing a post-op infection. Simple question, right? So most of the literature done prosectively was done in institutions where they had small sample sizes. So if you pool that, you get a little bit more noise, but you get a more confirming answer. What was done at a very large, not my own, but a very large institution... I won't name them for obvious reasons, but they pooled lots of data from lots of different hospitals, where the data definitions and the metadata were different. Two examples. When did they indicate the antibiotic was given? Was it when it was ordered, dispensed from the pharmacy, delivered to the floor, brought to the bedside, put in the IV, or the IV starts flowing? Different hospitals used a different metric of when it started. When did surgery occur? When they were wheeled into the OR, when they were prepped and drapped, when the first incision occurred? All different. And they concluded quite dramatically that it didn't matter when you gave the pre-op antibiotic and whether or not you get a post-op infection. And everybody who was intimate with the prior studies just completely ignored and discounted that study. It was wrong. And it was wrong because of the lack of commonality and the normalization of data definitions and metadata definitions. So because of that, this problem is much more challenging than you would think. If it were so easy as to put all these data together and operate on it, normalize and operate on it, we would've done that a long time ago. It's... Semantic interoperatability remains a big problem and we have a lot of heavy lifting ahead of us. I'm working with the Global Alliance, for example, of Genomics and Health. There's like 30 different major ontologies for how you represent genetic information. And different institutions are using different ones in different ways in different versions over different periods of time. That's a mess. >> Our all those issues applicable when you're talking about a personalized data set versus a population? >> Well, so N of 1 studies and single-subject research is an emerging field of statistics. So there's some really interesting new models like step wedge analytics for doing that on small sample sizes, recruiting people asynchronously. There's single-subject research statistics. You compare yourself with yourself at a different point in time, in a different context. So there are emerging statistics to do that and as long as you use the same sensor, you won't have a problem. But people are changing their remote sensors and you're getting different data. It's measured in different ways with different sensors at different normalization and different calibration. So yes. It even persists in the N of 1 environment. >> Yeah, you have to get started with a large N that you can apply to the N of 1. I'm actually going to attack your question from a different perspective. So who has the data? The millions of examples to train a deep learning system from scratch. It's a very limited set right now. Technology such as the Collaborative Cancer Cloud and The Data Exchange are definitely impacting that and creating larger and larger sets of critical mass. And again, not withstanding the very challenging semantic interoperability questions. But there's another opportunity Kay asked about what's changed recently. One of the things that's changed in deep learning is that we now have modules that have been trained on massive data sets that are actually very smart as certain kinds of problems. So, for instance, you can go online and find deep learning systems that actually can recognize, better than humans, whether there's a cat, dog, motorcycle, house, in a photograph. >> From Intel, open source. >> Yes, from Intel, open source. So here's what happens next. Because most of that deep learning system is very expressive. That combinatorial mixture of features that Naveen was talking about, when you have all these layers, there's a lot of features there. They're actually very general to images, not just finding cats, dogs, trees. So what happens is you can do something called transfer learning, where you take a small or modest data set and actually reoptimize it for your specific problem very, very quickly. And so we're starting to see a place where you can... On one end of the spectrum, we're getting access to the computing capabilities and the data to build these incredibly expressive deep learning systems. And over here on the right, we're able to start using those deep learning systems to solve custom versions of problems. Just last weekend or two weekends ago, in 20 minutes, I was able to take one of those general systems and create one that could recognize all different kinds of flowers. Very subtle distinctions, that I would never be able to know on my own. But I happen to be able to get the data set and literally, it took 20 minutes and I have this vision system that I could now use for a specific problem. I think that's incredibly profound and I think we're going to see this spectrum of wherever you are in your ability to get data and to define problems and to put hardware in place to see really neat customizations and a proliferation of applications of this kind of technology. >> So one other trend I think, I'm very hopeful about it... So this is a hard problem clearly, right? I mean, getting data together, formatting it from many different sources, it's one of these things that's probably never going to happen perfectly. But one trend I think that is extremely hopeful to me is the fact that the cost of gathering data has precipitously dropped. Building that thing is almost free these days. I can write software and put it on 100 million cell phones in an instance. You couldn't do that five years ago even right? And so, the amount of information we can gain from a cell phone today has gone up. We have more sensors. We're bringing online more sensors. People have Apple Watches and they're sending blood data back to the phone, so once we can actually start gathering more data and do it cheaper and cheaper, it actually doesn't matter where the data is. I can write my own app. I can gather that data and I can start driving the correct inferences or useful inferences back to you. So that is a positive trend I think here and personally, I think that's how we're going to solve it, is by gathering from that many different sources cheaply. >> Hi, my name is Pete. I've very much enjoyed the conversation so far but I was hoping perhaps to bring a little bit more focus into Precision Medicine and ask two questions. Number one, how have you applied the AI technologies as you're emerging so rapidly to your natural language processing? I'm particularly interested in, if you look at things like Amazon Echo or Siri, or the other voice recognition systems that are based on AI, they've just become incredibly accurate and I'm interested in specifics about how I might use technology like that in medicine. So where would I find a medical nomenclature and perhaps some reference to a back end that works that way? And the second thing is, what specifically is Intel doing, or making available? You mentioned some open source stuff on cats and dogs and stuff but I'm the doc, so I'm looking at the medical side of that. What are you guys providing that would allow us who are kind of geeks on the software side, as well as being docs, to experiment a little bit more thoroughly with AI technology? Google has a free AI toolkit. Several other people have come out with free AI toolkits in order to accelerate that. There's special hardware now with graphics, and different processors, hitting amazing speeds. And so I was wondering, where do I go in Intel to find some of those tools and perhaps learn a bit about the fantastic work that you guys are already doing at Kaiser? >> Let me take that first part and then we'll be able to talk about the MD part. So in terms of technology, this is what's extremely exciting now about what Intel is focusing on. We're providing those pieces. So you can actually assemble and build the application. How you build that application specific for MDs and the use cases is up to you or the one who's filling out the application. But we're going to power that technology for multiple perspectives. So Intel is already the main force behind The Data Center, right? Cloud computing, all this is already Intel. We're making that extremely amenable to AI and setting the standard for AI in the future, so we can do that from a number of different mechanisms. For somebody who wants to develop an application quickly, we have hosted solutions. Intel Nervana is kind of the brand for these kinds of things. Hosted solutions will get you going very quickly. Once you get to a certain level of scale, where costs start making more sense, things can be bought on premise. We're supplying that. We're also supplying software that makes that transition essentially free. Then taking those solutions that you develop in the cloud, or develop in The Data Center, and actually deploying them on device. You want to write something on your smartphone or PC or whatever. We're actually providing those hooks as well, so we want to make it very easy for developers to take these pieces and actually build solutions out of them quickly so you probably don't even care what hardware it's running on. You're like here's my data set, this is what I want to do. Train it, make it work. Go fast. Make my developers efficient. That's all you care about, right? And that's what we're doing. We're taking it from that point at how do we best do that? We're going to provide those technologies. In the next couple of years, there's going to be a lot of new stuff coming from Intel. >> Do you want to talk about AI Academy as well? >> Yeah, that's a great segway there. In addition to this, we have an entire set of tutorials and other online resources and things we're going to be bringing into the academic world for people to get going quickly. So that's not just enabling them on our tools, but also just general concepts. What is a neural network? How does it work? How does it train? All of these things are available now and we've made a nice, digestible class format that you can actually go and play with. >> Let me give a couple of quick answers in addition to the great answers already. So you're asking why can't we use medical terminology and do what Alexa does? Well, no, you may not be aware of this, but Andrew Ian, who was the AI guy at Google, who was recruited by Google, they have a medical chat bot in China today. I don't speak Chinese. I haven't been able to use it yet. There are two similar initiatives in this country that I know of. There's probably a dozen more in stealth mode. But Lumiata and Health Cap are doing chat bots for health care today, using medical terminology. You have the compound problem of semantic normalization within language, compounded by a cross language. I've done a lot of work with an international organization called Snowmed, which translates medical terminology. So you're aware of that. We can talk offline if you want, because I'm pretty deep into the semantic space. >> Go google Intel Nervana and you'll see all the websites there. It's intel.com/ai or nervanasys.com. >> Okay, great. Well this has been fantastic. I want to, first of all, thank all the people here for coming and asking great questions. I also want to thank our fantastic panelists today. (applause) >> Thanks, everyone. >> Thank you. >> And lastly, I just want to share one bit of information. We will have more discussions on AI next Tuesday at 9:30 AM. Diane Bryant, who is our general manager of Data Centers Group will be here to do a keynote. So I hope you all get to join that. Thanks for coming. (applause) (light electronic music)

Published Date : Mar 12 2017

SUMMARY :

And I'm excited to share with you He is the VP and general manager for the And it's pretty obvious that most of the useful data in that the technologies that we were developing So the mission is really to put and analyze it so you can actually understand So the field of microbiomics that I referred to earlier, so that you can think about it. is that the substrate of the data that you're operating on neural networks represent the world in the way And that's the way we used to look at it, right? and the more we understand the human cortex, What was it? also did the estimate of the density of information storage. and I'd be curious to hear from you And that is not the case today. Well, I don't like the idea of being discriminated against and you can actually then say what drug works best on this. I don't have clinic hours anymore, but I do take care of I practiced for many years I do more policy now. I just want to take a moment and see Yet most of the studies we do are small scale And so that barrier is going to enable So the idea is my data's really important to me. is much the same as you described. That's got to be a new one I've heard now. So I'm going to repeat this and ask Seems like a lot of the problems are regulatory, because I know the cycle is just going to be longer. And the diadarity is where you have and deep learning systems to understand, And that feeds back to your question about regulatory and to make AI the competitive advantage. that the opportunities that people need to look for to what you were saying before. of overcoming the cost and the cycle time and ability to assimilate Yes, the patients. Know your diagnosis, right? and filling in the gaps where there's less training We'll meet you all out back for the next start up. And so the whole recertification process is being are there ways to-- most of the behavior. because he addresses that issue in there is that the systems are starting to be able to, You mentioned AI agents that could help you So most of the literature done prosectively So there are emerging statistics to do that that you can apply to the N of 1. and the data to build these And so, the amount of information we can gain And the second thing is, what specifically is Intel doing, and the use cases is up to you that you can actually go and play with. You have the compound problem of semantic normalization all the websites there. I also want to thank our fantastic panelists today. So I hope you all get to join that.

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Amit Sinha, Zscaler | RSA 2017


 

>> Welcome back to the Cuban Peterborough's chief research officer of Silicon Angle and general manager of Wicked Bond. We're as part of our continuing coverage of the arse a show. We have a great guest Z scaler amid sin. Ha! Welcome to the Cube. >> Thank you for having me here. It's a pleasure to be here. >> So, um, it what exactly does Z scaler? D'oh >> Z's killer is in the business of providing the entire security stack as a service for large enterprises. We sit in between enterprise users and the Internet and various destinations they want to goto, and we want to make sure that they have a fast, nimble Internet experience without compromising any security. >> So if I can interpret what that means, that means that as Maur companies are trying to serve their employees that Air Mobile or customers who aren't part of their corporate network they're moving more. That communication in the Cloud Z scale is making it possible for them to get the same quality of security on that communication in the cloud is he would get on premise. >> Absolutely. If you look at some of the big business transformations that are happening, work lords for enterprises are moving to the cloud. For example, enterprises are adopting Office 3 65 instead, off traditional exchange based email and on your desktop applications. They might be adopting sales force for CR M Net suite for finance box for storage. So as these workloads are moving to the cloud and employees are becoming more and more mobile, you know they might be at a coffee shop. They might be on an iPad. Um, and they might be anywhere in the world. That begs the basic security question. Where should that enterprise DMC the security stack be sitting back in the day? Enterprises had a hub and spokes model, right? They might have 50 branch offices across the world. A few mobile workers, all of them, came back over private networks to a central hub, and that hub was where racks and racks of security appliances were deployed. Maybe they started off with a firewall. Later on, they added a proxy. You are l filtering some d e l P er down the road. People realized that you need to inspect us to sell. So they added some SSL offload devices. Someone said, Hey, we need to do some sand boxing for behavioral analysis. People started adding sandboxes. And so, over time the D. M. Z got cluttered and complicated and fast forward to Today. Users have become mobile. Workloads have moved to the cloud. So if I'm sitting in a San Francisco office on my laptop trying to do my regular work, my email is in the cloud. My my court applications are sitting in the cloud. Why should I have to vpn back to my headquarters in Cincinnati over a private network, you know, incurring all the Leighton see and the delays just so that I can get inspected by some legacy appliances that are sitting in that DMC, right? So we looked at that network transformation on We started this journey at Ze scale or eight years ago, and we said, Look, if users are going to be mobile and workloads are going to be in the cloud, the entire security stack should be as close as possible to where the users are. In that example, I described, I'm sitting here. I'm going to Salesforce. We're probably going to the same data center in San Francisco. Shouldn't my entire security stag be available right where I am, um, and my administrators should have full visibility, full control from a single pane of glass. I get a fast, nimble user experience. The enterprise doesn't have to compromise in any security, and that's sort of the vision that we have executing towards. >> But it's not just for some of the newer applications or some of the newer were close. We're also seeing businesses acknowledge that the least secure member of their community has an impact on overall security. So the whole concept of even the legacy has to become increasingly a part of this broad story. So if anybody accesses anything from anywhere through the cloud that those other workloads increasing, they're gonna have to come under the scrutiny of a cloud based security option. >> Absolutely. I mean, that's a brilliant point, Peter. >> I >> think of >> it this way. Despite all those security appliances that have been deployed over time, they're still security breach is happening. And why is that? That is because users are the weakest link, right? If I'm a mobile work user, I'm sitting in a branch office. It's just painful for me to go back to those headquarter facilities just for additional scanning so two things happen either I have a painful user experience. What? I bypassed security, right? Um, and more and more of the attacks that we see leverage the user as the weakest link. I send you a phishing email. It looks like it came from HR. It has a excel sheet attached to it to update some information. But, you know, inside is lurking a macro, right? You open it. It is from a squatter domain that looks very similar to the company you work for. You click on it and your machine is infected. And then that leads to further malware being downloaded, data being expatriated out. So the Z scaler solution is very, very simple. Conceptually, we want to sit between users and the destinations they goto all across the world. And we built this network of 100 data centers. Why? Because you cannot travel faster than the speed of light. So if you're in San Francisco, you better go through our San Francisco facility. All your policies will show up here. All the latest and greatest security protections will be available. We serve 5000 large enterprises. So if we discover a new security threat because of an employee from, let's say, a General Electric. Then someone from United Airlines automatically gets protection simply because the cloud is live all the time. You're not waiting for your security boxes to get, you know, the weekly patch updates for new malware indicators and so on. Right, So, um, you get your stack right where you are. It's always up to date. User experience is not compromised. Your security administrators get a global view off things. And one >> of the >> things that that I that we haven't talked about here it is the dramatic cost savings that this sort of network transformation brings for enterprises. To put that in perspective, let's say you're a Fortune 100 organization with 100,000 employees worldwide in that, huh? Been spoke model. You are forcing all those workloads to come toe a few choke points, right? That is coming over. Very expensive. NPLs circuits private circuits from service providers. You're double trombone in traffic, back and forth. You know, you and I are in a branch. We might be on. Ah, Skype session. Ah, Google Hangout session. All our traffic goes to H Q. Goes to the cloud comeback comes back to h. Q comes back to you, there's this is too much back and forth, and you're paying for those expensive circuits and getting a poor user experience. Wouldn't it be great if you and I could go straight to the Internet? And that can only be enabled if we can provide that pervasive security stack wherever you are? And for that, we built this network of 100 data centers worldwide. Always live, always up to date you. You get routed to the closest the scaler facility. All your policy show up. They're automatically and you get the latest and greatest protection. >> So it seems as though you end up with three basic benefits. One is you get the cost benefit of being able to, uh, have being able to leverage a broader network of talent, skills and resources You reduce. Your risk is not the least of which is that the cost and the challenges configuring a whole bunch of appliances has not gotten any easier over the last. No, it hasn't cheaters. And so not only do you have user error, but you also Administrator Erin, absolutely benign, but nonetheless it's there, and then finally and this is what I want to talk about. Increasingly, the clot is acknowledged as the way that companies are going to improve their portfolio through digital assets. Absolutely. Which means new opportunities, new competition, new ways of improving customer experience. But security has become the function of no within a lot of organizations. Absolutely. So How does how does AE scaler facilitate the introduction of new business capabilities that can attack these opportunities in a much more timely way by reducing doesn't reduce some of those some of those traditional security constraints. >> Absolutely right, and we call it the Department of No right. We've talked to most people in the industry. They view their I t folks there, security forces, the department of Know Why? Because there's this big push from users to adopt newer, nimble, faster cloud based ah solutions that that improved productivity. But often I t comes in the way. No, If you look at what Izzy's killer is doing, it's trying to transform the adoption of these Cloud service. Is that do improve business productivity? In fact, there is no debate now because there are many, many industries that ever doubt adopted a cloud first strategy. Well, that means is, as they think of the network and their security, they want to make sure that cloud is front and center. Words E scaler does is it enables that cloud for a strategy without any security compromise. I'll give you some specific examples. Eight out of 10 c I ose that we talk to our thinking about office 3 65 or they have already deployed it right. One of the first challenge is that happens when you try to adopt office. 3 65 is that your legacy network and security infrastructure starts to come crumble. Very simple things happen. You have your laptop. Suddenly, that laptop has many, many persistent SSL connections to the clothes. Because exchange is moved to the cloudy directory, service is are moving to the cloud. If you have a small branch office with 2000 users, each of them having 30 40 persistent connections to the cloud will your edge firewall chokes. Why? Because it cannot maintain so many active ports at the same time, we talked about the double trombone ing of traffic back and forth. If you try to not go direct to the Internet but force everyone to go through a couple of hubs. So you pay for all the excessive band with your traditional network infrastructure, and your security infrastructure might need a forklift upgrades. So a cloud transformation project quickly becomes a network in a security transformation project. And this is where you nosy scaler helps tremendously because we were born and bred in the cloud. Many of these traditional limitations that you have with appliance based security or networking, you know, in the traditional sense don't exist for the scaler, right? We can enable your branch officers to go directly to the cloud. In fact, we've started doing some very clever things. For example, we peer with Microsoft in about 20 sites worldwide. So what that means is, when you come to the scaler for security, there's a very high likelihood that Microsoft has a presence in the same data center. We might be one or two or three millisecond hops away because we're in the same equinox facility in New York or San Jose. And so not only are you getting your full security stack where you are, you're getting the superfast peered connections to the end Cloud service is that you want to goto. You don't have to work. Worry about you know your edge Firewalls not keeping up. You don't have to worry about a massive 30 40% increase in back hole costs because you were now shipping all this extra traffic to those couple of hubs. And more importantly, you know, you've adopted these transformative technologies on your users don't have to complain about how slow they are because you know, most of the millennials hitting the workforce. I used to a very fast, nimble experience on their mobile phones with consumer APS. And then they come into the enterprise and they quickly realize that, well, this is all cumbersome and old and legacy stuff >> in me s. So let's talk a little bit about Let's talk a bit about this notion of security being everywhere and increasingly is removed to a digital business or digital orientation. With digital assets being the basis for the value proposition, which is certainly happening on a broad scale right now, it means it's security going back to the idea of security being department. No security has to move from an orientation of limiting access to appropriately sharing. Security becomes the basis for defining the digital brand. So talk to us a little bit about how the how you look out, how you see the world, that you think security's gonna be playing in ultimately defining this notion of digital brand digital perimeters from a not a iittie standpoint. But from a business value standpoint, >> absolutely. I would love to talk about that. So Izzy's killer Our cloud today sees about 30,000,000,000 transactions a day from about 5000 enterprises. So we have a very, very good pulse on what is happening in large enterprises, from from a cloud at perspective or just what users are doing on the Internet. So here are some of the things that we see. Number one. We see that about 50 60% of the threats are coming inside SSL, so it's very important to inspect SSL. The second thing that we observe is without visibility. It is very different, very difficult for your security guys to come up with a Chris policy, right? If you cannot see what is happening inside an SSL connection, how are you going to have a date? A leakage policy, right? Maybe your policy is no P I information should leak out. No source code should leak out. How can you make sure that an engineer is not dropping something in this folder, which is sinking to Google Drive or drop box in an in an SSL tano, Right. How do you prioritize mission Critical business applications like office 3 65 over streaming media, Right. So for step two, crafting good policy is 100% real time visibility. And that's what happens when you adopt the Siskel a network. You can see what any user is doing anywhere in the world within seconds. And once you have that kind of visibility, you can start formulating policies, both security and otherwise that strike a good balance between business productivity that you want to achieve without compromising security. >> That's the policy's been 10 more net. You can also end that decisions. >> Yes, right. So, for example, you can you can have a more relaxed social media policy, right? You can say Well, you know, everyone is allowed access, but they can. Maybe streaming media is restricted to one hour a day. You know, after hours, or you can say, I want to adopt um, storage applications in the clothes here are some sanctioned APS These other raps were not going to allow right. You can do policies by users, by locations by departments, right? And once you have the visibility, you can. You can be very, very precise and say, Well, boxes, my sanction story, Jap other APS are not allowed right and hear other things that a particular group of users can do on box. Or they cannot do because we were seeing every transaction between the user on going to the destination and as a result, begin, you know, we can enable the enterprise administrator to come up with very, very specific policies that are tailored for that. >> You said something really interesting. I'm gonna ask you one more question, but I'm gonna make a common here. And that common is that the power of digital technology is that it can be configured and copied and changed, and it's very mutable. It's very plastic, but at the end of the day it has to be precise, and I've never heard anybody talk about the idea of precise and security, and I think it's a very, very powerful concept. But what are what's What's the scale are talking about in our say this year. >> Well, we're going to talk about a bunch of very interesting things. First, we'll talk about the scale of private access. This is a new offering on the scale of platform. We believe that VP ends have become irrelevant because of all the discussions we just had, um, Enterprises are treating their Internet as though it was the Internet, right? You know, sort of a zero trust model. They're moving the crown jewel applications to either private cloud offerings are, you know, sort of restricting that in a very micro segmented way. And the question is, how do you access those applications? Right? And the sea skill immortal is very straightforward. You have a pervasive cloud users authenticate to the cloud and based on policies, we can allow them to go to the Internet to sites that have been sanctioned and allowed. We make sure nothing good is leaking out. Nothing bad is coming in, and that same cloud model can be leveraged for private access to crown jewel applications that traditionally would have required a full blown vpn right. And the difference between a VPN and the skill of private access is VP ends basically give you full network access keys to the kingdom, right? Whether it's a contractor with, it's an employee just so that you could access, you know, Internet application. You allow full network access, and we're just gonna getting rid of that whole notion. That's one thing we're gonna stroke ISS lots of cloud white analytics, As I mentioned, you know, we process 30,000,000,000 transactions a day. To put that in perspective, Salesforce reports about four and 1 30,000,000,000 4 1/2 to 5,000,000,000 transactions. They're about three and 1/2 1,000,000,000 Google searches done daily, right? So it is truly a tin Internet scale. We're blocking over 100,000,000 threats every day for, ah, for all our enterprise user. So we have a very good pulse on you know what's what's an average enterprise user doing? And you're going to see some interesting cloud? Wait, Analytics. Just where we talk about a one of the top prevalent Claude APs, what are the top threats? You know, by vertical buy by geography, ese? And then, you know, we as a platform has emerged. We started off as a as a sort of a proxy in the cloud, and we've added sand boxing capabilities. Firewall capabilities, you know, in our overall vision, as I said, is to be that entire security stack that sits in your inbound and outbound gateway in that DMC as a pure service. So everything from firewall at layer three to a proxy at Layer seven, everything from inline navy scanning right to full sand. Boxing everything from DLP to cloud application control. Right? And all of that is possible because, you know, we have this very scalable architecture that allows you to to do sort of single scan multiple action right in that appliance model that I describe. What ends up happening is that you have many bumps in the wire. One of the examples we use is if you wanted to build a utility company, you don't start off with small portable generators and stack them in a warehouse, right? That's inefficient. It requires individual maintenance. It doesn't scale properly. Imagine if you build a turbine and ah, and then started your utility company. You can scale better. You can do things that traditional appliance vendors cannot think about. So we build this scalable, elastic security platform, and on that platform it's very easy for us to add. You know, here's a firewall. Here's a sandbox. And what does it mean for end users? You know, you don't need to deploy new boxes. You just go and say, I want to add sand boxing capabilities or I want to add private access or I want to add DLP. And it is as simple as enabling askew, which is what a cloud service offering should be. >> Right. So we're >> hardly know software. >> So we're talking about we're talking about lower cost, less likelihood of human error, which improves the quality, security, greater plasticity and ultimately, better experience, especially for your non employees. Absolutely. All right, so we are closing up this particular moment I want Thank you very much for coming down to our Pallotta studio is part of our coverage on Peter Boris. And we've been talking to the scanner amidst, huh? Thank you very much. And back to Dio Cube.

Published Date : Feb 17 2017

SUMMARY :

We're as part of our continuing coverage of the arse a show. Thank you for having me here. Z's killer is in the business of providing the entire security stack as a That communication in the Cloud Z scale is making it possible for People realized that you need to inspect us to sell. We're also seeing businesses acknowledge that the least secure I mean, that's a brilliant point, Peter. It is from a squatter domain that looks very similar to the company you work for. that pervasive security stack wherever you are? And so not only do you have user error, One of the first challenge is that happens when you try to adopt office. the how you look out, how you see the world, that you think security's gonna be playing And that's what happens when you adopt the Siskel a network. You can also end that decisions. You can say Well, you know, everyone is allowed access, I'm gonna ask you one more question, but I'm gonna make a common here. And all of that is possible because, you know, we have this very scalable So we're particular moment I want Thank you very much for coming down to our Pallotta studio

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Aaron Sullivan, Rackspace | OpenPOWER Summit 2016


 

hi this is David flora back at the open power foundation conference here in San Jose and with me I've got Erin Sullivan who is a distinguished engineer at Rackspace welcome our thank you so what do you think of the conference so far it's amazing it's grown so much in the last year 15 designs to almost 60 in a year and lots of system launches yeah very impressed well one of the things that has been announced today which was caught my eye in a big big way was the agreement so the announcement that you and Google have can you paint a little more put a little more light on that announcement yeah sure so Rackspace and Google started working together when Rackspace was developing barrel I of course Google had already had their system available at the time and our collaboration just on what we had with barrel I was very positive we were just kind of looking to trade notes and you know share our experience and a few months ago we got back in touch and said hey this was ministers posit enough we should think about doing the next one together from the start and so that's basically what we're doing now we're going to do a power 9 system that comes in multiple mechanical form factors but just one motherboard and we're going to like we did with barrel I we're going to contribute that to open compute when we're finished out of the Open Compute foundation part of the OpenStack yes heart of the open power founder that's right open everything open ever yeah yeah excellent so what about the barreleye that you also announced some things about today can you what is barrel i and what's what's what's different about it so so paralyzed named after a fish that's got a transparent body most of our servers are named after we thought having a server that was fully open would be great to have that name barrel I just entered its first data center shipments it's headed to our Virginia data centers right now and in a few months we expect we will begin providing services to customers on it so that's the progress on barrel I so far we contributed to open compute about 2-3 months ago now and it was accepted so the specifications are online and if you look around the show floor here you will see there are other companies that have put their brand on it or something else and are also taking at the market which is exactly what we hope for great well I've got a question which is why have you why have you put these resources into barrel I and in the future into the power 9 etc what are you looking for that's different about open power that for example you couldn't get with a standard x86 server yeah so I know it gets to be tired and people get tired of hearing the word open but really even with open compute and OpenStack the freedom that comes with developing in that particular universe is really significant before open power even started there were parts of the system we really wish we could get into in an open way where we could develop and share instead of just doing it all on our own and having open power come in the first place fit that but then we also have this problem this Moore's Law problem and the types of changes that we're going to have to implement as an industry to continue to accelerate and and and get higher performance computing and more efficient computing over the next year's they're really huge challenges they go from the chips all the way to the top of the stack and if you don't have the chip part open and you don't have the firmware part open it becomes really difficult to collaborate you can't bring to bear the sort of force of the world software developers onto it you end up in these little silos and niches so for us beryl I provides a lot of value as a business and it has a great influence on the industry at large and so wills IOUs the power 9 system Google but it also is there as a platform for developers to begin to start wrapping their minds around these new problems and opportunities that we have and if it's not done in the open these types of software aren't really scalable across the whole industry that that's a very interesting answer indeed and as you say um does laura has come to a screeching halt from the point of Mount of power per CPU is still going on in terms of the number of transistors etc that you can have what are the what are the things you as a distinguished engineer what are the things that really are most important about the power architecture that allow you to develop these new ways of doing things yeah I think it's it depends on the type of your business you're in but in our business I think in many cloud service providers and in some other environments certainly some HPC and a lot of enterprise the performance of a single core is still really important and it will continue to be for as long as we can keep getting more performance out of a single core so power provided a great platform with a very powerful core and it also has a huge number of threads per core so you get a little bit of the best of both worlds there and you need a really powerful core you have it if you want to spread your load really wide over a more cloudy webby type application you get to use all those threads and there's all that memory bandwidth and so forth so so that was the benefit of power in general and then we run out of core performance and those cycles per you know CPU aren't going up and maybe we can't even scale cores like we used to anymore which is coming in a few years I the the fact that the platform is open in areas that others aren't allows us to bend the rules about how components communicate and we cut out a lot of overhead between them so that's a sort of software in silicon type argument you want to bring the software closer to the silicon yeah closer and in many cases to do the same work that we do today like that's the hard part is people think it's all about genomics or oil and gas or something it's the same work but you know we've already demonstrated that open harcum you it is demonstrated that there are certain workloads that are very common today that you can boost tenfold or more simply by reintegrating your software tighter the hardware right you pull out overhead that we were fine with when Moore's Law is working but now we got to do something yeah great well thanks very much indeed for for being here and thanks very much for watching

Published Date : Apr 19 2016

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Aaron T. Myers Cloudera Software Engineer Talking Cloudera & Hadooop


 

>>so erin you're a technique for a Cloudera, you're a whiz kid from Brown, you have, how many Brown people are engineers here at Cloudera >>as of monday, we have five full timers and two interns at the moment and we're trying to hire more all the time. >>Mhm. So how many interns? >>Uh two interns from Brown this this summer? A few more from other schools? Cool, >>I'm john furry with silicon angle dot com. Silicon angle dot tv. We're here in the cloud era office in my little mini studio hasn't been built out yet, It was studio, we had to break it down for a doctor, ralph kimball, not richard Kimble from uh I called him on twitter but coupon um but uh the data warehouse guru was in here um and you guys are attracting a lot of talent erin so tell us a little bit about, you know, how Claudia is making it happen and what's the big deal here, people smart here, it's mature, it's not the first time around this company, this company has some some senior execs and there's been a lot, a lot of people uh in the market who have been talking about uh you know, a lot of first time entrepreneurs doing their startups and I've been hearing for some folks in in the, in the trenches that there's been a frustration and start ups out there, that there's a lot of first time entrepreneurs and everyone wants to be the next twitter and there's some kind of companies that are straddling failure out there? And and I was having that conversation with someone just today and I said, they said, what's it like Cloudera and I said, uh, this is not the first time crew here in Cloudera. So, uh, share with the folks out there, what you're seeing for Cloudera and the management team. >>Sure. Well, one of the most attractive parts about working Cloudera for me, one of the reasons I, I really came here was have been incredibly experienced management team, Mike Charles, they've all there at the top of this Oregon, they have all done this before they founded startups, Growing startups, old startups and uh, especially in contrast with my, the place where I worked previously. Uh, the amount of experience here is just tremendous. You see them not making mistakes where I'm sure others would. >>And I mean, Mike Olson is veteran. I mean he's been, he's an adviser to start ups. I know he's been in some investors. Amer was obviously PhD candidates bolted out the startup, sold it to yahoo, worked at, yahoo, came back finish his PhD at stanford under Mendel over there in the PhD program over this, we banged in a speech. He came back entrepreneur residents, Excel partners. Now it does Cloudera. Um, when did you join the company and just take us through who you are and when you join Cloudera, I want your background. >>Sure. So I, I joined a little over a year ago is about 30 people at the time. Uh, I came from a small start up of the music online music store in new york city um uh, which doesn't really exist all that much anymore. Um but you know, I I sort of followed my other colleagues from Brown who worked here um was really sold by the management team and also by the tremendous market opportunity that that Hadoop has right now. Uh Cloudera was very much the first commercial player there um which is really a unique experience and I think you've covered this pretty well before. I think we all around here believe that uh the markets only growing. Um and we're going to see the market and the big data market in general get bigger and bigger in the next few years. >>So, so obviously computer science is all the rage and and I'm particularly proud of hangout, we've had conversations in the hallway while you're tweeting about this and that. Um, but you know, silicon angles home is here, we've had, I've had a chance to watch you and the other guys here grow from, you know, from your other office was a san mateo or san Bruno somewhere in there. Like >>uh it was originally in burlingame, then we relocate the headquarters Palo Alto and now we have a satellite up in san Francisco. >>So you guys bolted out. You know, you have a full on blow in san Francisco office. So um there was a big busting at the seams here in Palo Alto people commuting down uh even building their burning man. Uh >>Oh yeah sure >>skits here and they're constructing their their homes here, but burning man, so we're doing that in san Francisco, what's the vibe like in san Francisco, tell us what's going on >>in san Francisco, san Francisco is great. It's, I'm I live in san Francisco as do a lot of us. About half the engineering team works up there now. Um you know we're running out of space there certainly. Um and you're already, oh yeah, oh yeah, we're hiring as fast as we absolutely can. Um so definitely not space to build the burning man huts there like like there is down, down in Palo Alto but it's great up there. >>What are you working on right now for project insurance? The computer science is one of the hot topics we've been covering on silicon angle, taking more of a social angle, social media has uh you know, moves from this pr kind of, you know, check in facebook fan page to hype to kind of a real deal social marketplace where you know data, social data, gestural data, mobile data geo data data is the center of the value proposition. So you live that every day. So talk about your view on the computer science landscape around data and why it's such a big deal. >>Oh sure. Uh I think data is sort of one of those uh fundamental uh things that can be uh mind for value across every industry, there's there's no industry out there that can't benefit from better understanding what their customers are doing, what their competitors are doing etcetera. And that's sort of the the unique value proposition of, you know, stuff like Hadoop. Um truly we we see interest from every sector that exists, which is great as for what the project that I'm specifically working on right now, I primarily work on H. D. F. S, which is the Hadoop distributed file system underlies pretty much all the other um projects in the Hadoop ecosystem. Uh and I'm particularly working with uh other colleagues at Cloudera and at other companies, yahoo and facebook on high availability for H. D. F. S, which has been um in some deployments is a serious concern. Hadoop is primarily a batch processing system, so it's less of a concern than in others. Um but when you start talking about running H base, which needs to be up all the time serving live traffic than having highly available H DFS is uh necessity and we're looking forward to delivering that >>talk about the criticism that H. D. F. S has been having. Um Well, I wouldn't say criticism. I mean, it's been a great, great product that produced the HDs, a core parts of how do you guys been contributing to the standard of Apache, that's no secret to the folks out there, that cloud area leads that effort. Um but there's new companies out there kind of trying a new approach and they're saying they're doing it better, what are they saying in terms and what's really happening? So, you know, there's some argument like, oh, we can do it better. And what's the what, why are they doing it, that was just to make money do a new venture, or is that, what's your opinion on that? Yeah, >>sure. I mean, I think it's natural to to want to go after uh parts of the core Hadoop system and say, you know, Hadoop is a great ecosystem, but what if we just swapped out this part or swapped out that part, couldn't couldn't we get some some really easy gains. Um and you know, sometimes that will be true. I have confidence that that that just will not simply not be true in in the very near future. One of the great benefits about Apache, Hadoop being open source is that we have a huge worldwide network of developers working at some of the best engineering organizations in the world who are all collaborating on this stuff. Um and, you know, I firmly believe that the collaborative open source process produces the best software and that's that's what Hadoop is at its very core. >>What about the arguments are saying that, oh, I need to commercialize it differently for my installed base bolt on a little proprietary extensions? Um That's legitimate argument. TMC might take that approach or um you know, map are I was trying to trying to rewrite uh H. T. F. >>S. To me, is >>it legitimate? I mean is there fighting going on in the standards? Maybe that's a political question you might want to answer. But give me a shot. >>I mean the Hadoop uh isn't there's no open standard for Hadoop. You can't say like this is uh this is like do compatible or anything like that. But you know what you can say is like this is Apache Hadoop. Uh And so in that sense there's no there's no fighting to be had there. Um Yeah, >>so yeah. Who um struggling as a company. But you know, there's a strong head Duke D. N. A. At yahoo, certainly, I talked with the the founder of the startup. Horton works just announced today that they have a new board member. He's the guy who's the Ceo of Horton works and now on bluster, I'm sorry, cluster announced they have um rob from benchmark on the board. Uh He's the Ceo of Horton works and and one of my not criticisms but points about Horton was this guy's an engineer, never run a company before. He's no Mike Olson. Okay, so you know, Michaelson has a long experience. So this guy comes into running and he's obviously in in open source, is that good for Yahoo and open sources. He they say they're going to continue to invest in Hadoop? They clearly are are still using a lot of Hadoop certainly. Um how is that changing Apache, is that causing more um consolidation, is that causing more energy? What's your view on the whole Horton works? Think >>um you know, yahoo is uh has been and will continue to be a huge contributor. Hadoop, they uh I can't say for sure, but I feel pretty confident that they have more data under management under Hadoop than anyone else in the world and there's no question in my mind that they'll continue to invest huge amounts of both key way effort and engineering effort and uh all of the things that Hadoop needs to to advance. Um I'm sure that Horton works will continue to work very closely with with yahoo. Um And you know, we're excited to see um more and more contributors to to Hadoop um both from Horton works and from yahoo proper. >>Cool, Well, I just want to clarify for the folks out there who don't understand what this whole yahoo thing is, It was not a spin out, these were key Hadoop core guys who left the company to form a startup of which yahoo financed with benchmark capital. So, yahoo is clearly and told me and reaffirm that with me that they are clearly investing more in Hadoop internally as well. So there's more people inside, yahoo that work on Hadoop than they are in the entire Horton's work company. So that's very clear. So just to clear that up out there. Um erin. so you're you're a young gun, right? You're a young whiz like Todd madam on here, explain to the folks out there um a little bit older maybe guys in their thirties or C IOS a lot of people are doing, you know, they're kicking the tires on big data, they're hearing about real time analytics, they're hearing about benefits have never heard before. Uh Dave a lot and I on the cube talk about, you know, the transformations that are going on, you're seeing AMC getting into big data, everyone's transforming at the enterprise level and service provider. What explains the folks why Hadoop is so important. Why is that? Do if not the fastest or one of the fastest growing projects in Apache ever? Sure. Even faster than the web server project, which is one of the better, >>better bigger ones. >>Why is the dupes and explain to them what it is? Well, you know, >>it's been it's pretty well covered that there's been an explosion of data that more data is produced every every year over and over. We talk about exabytes which is a quantity of data that is so large that pretty much no one can really theoretically comprehend it. Um and more and more uh organizations want to store and process and learn from, you know, get insights from that data um in addition to just the explosion of data um you know that there is simply more data, organizations are less willing to discard data. One of the beauties of Hadoop is truly that it's so very inexpensive per terabyte to store data that you don't have to think up front about what you want to store, what you want to discard, store it all and figure out later what is the most useful bits we call that sort of schema on read. Um as opposed to, you know, figuring out the schema a priority. Um and that is a very powerful shift in dynamics of data storage in general. And I think that's very attractive to all sorts of organizations. >>Your, I'll see a Brown graduate and you have some interns from Brown to Brown um, Premier computer science program almost as good as when I went to school at Northeastern University. >>Um >>you know, the unsung heroes of computer science only kidding Brown's great program, but you know, cutting edge computer science areas known as obviously leading in a lot of the computer science areas do in general is known that you gotta be pretty savvy to be either masters level PhD to kind of play in this area? Not a lot of adoption, what I call the grassroots developers. What's your vision and how do you see the computer science, younger generation, even younger than you kind of growing up into this because those tools aren't yet developed. You still got to be, you're pretty strong from a computer science perspective and also explained to the folks who aren't necessarily at the browns of the world or getting into computer science, what about, what is that this revolution about and where is it going? What are some of the things you see happening around the corner that that might not be obvious. >>Sure there's a few questions there. Um part of it is how do people coming out of college get into this thing, It's not uh taught all that much in school, How do how do you sort of make the leap from uh the standard computer science curriculum into this sort of thing? And um you know, part of it is that really we're seeing more and more schools offering distributed computing classes or they have grids available um to to do this stuff there there is some research coming out of Brown actually and lots of other schools about Hadoop proper in the behavior of Hadoop under failure scenarios, that sort of stuff, which is very interesting. Google uh actually has classes that they teach, I believe in conjunction with the University of Washington um where they teach undergraduates and your master's level, graduate students about mass produced and distributed computing and they actually use Hadoop to do it because it is the architecture of Hadoop is modeled after um >>uh >>google's internal infrastructure. Um So you know that that's that's one way we're seeing more and more people who are just coming out of college who have distributed systems uh knowledge like this? Um Another question? the other part of the question you asked is how does um how does the ordinary developer get into this stuff? And the answer is we're working hard, you know, we and others in the hindu community are working hard on making it, making her do just much easier to consume. We released, you cover this fair bit, the ECM Express project that lets you install Hadoop with just minimal effort as close to 11 click as possible. Um and there's lots of um sort of layers built on top of Hadoop to make it more easily consumed by developers Hive uh sort of sequel like interface on top of mass produce. And Pig has its own DSL for programming against mass produce. Um so you don't have to write heart, you don't have to write straight map produced code, anything like that. Uh and it's getting easier for operators every day. >>Well, I mean, evolution was, I mean, you guys actually working on that cloud era. Um what about what about some of the abstractions? You're seeing those big the Rage is, you know, look back a year ago VM World coming up and uh little plugs looking angle dot tv will be broadcasting live and at VM World. Um you know, he has been on the Q XV m where um Spring Source was a big announcement that they made. Um, Haruka brought by Salesforce Cloud Software frameworks are big, what does that look like and how does it relate to do and the ecosystem around Hadoop where, you know, the rage is the software frameworks and networks kind of collide and you got the you got the kind of the intersection of, you know, software frameworks and networks obviously, you know, in the big players, we talk about E M C. And these guys, it's clear that they realize that software is going to be their key differentiator. So it's got to get to a framework stand, what is Hadoop and Apache talking about this kind of uh, evolution for for Hadoop. >>Sure. Well, you know, I think we're seeing very much the commoditization of hardware. Um, you just can't buy bigger and bigger computers anymore. They just don't exist. So you're going to need something that can take a lot of little computers and make it look like one big computer. And that's what Hadoop is especially good at. Um we talk about scaling out instead of scaling up, you can just buy more relatively inexpensive computers. Uh and that's great. And sort of the beauty of Hadoop, um, is that it will grow linearly as your data set as your um, your your scale, your traffic, whatever grows. Um and you don't have to have this exponential price increase of buying bigger and bigger computers, You can just buy more. Um and that that's sort of the beauty of it is a software framework that if you write against it. Um you don't have to think about the scaling anymore. It will do that for you. >>Okay. The question for you, it's gonna kind of a weird question but try to tackle it. You're at a party having a few cocktails, having a few beers with your buddies and your buddies who works at a big enterprise says man we've got all this legacy structured data systems, I need to implement some big data strategy, all this stuff. What do I do? >>Sure, sure. Um Not the question I thought you were going to ask me that you >>were a g rated program here. >>Okay. I thought you were gonna ask me, how do I explain what I do to you know people that we'll get to that next. Okay. Um Yeah, I mean I would say that the first thing to do is to implement a start, start small, implement a proof of concept, get a subset of the data that you would like to analyze, put it, put Hadoop on a few machines, four or five, something like that and start writing some hive queries, start writing some some pig scripts and I think you'll you know pretty quickly and easily see the value that you can get out of it and you can do so with the knowledge that when you do want to operate over your entire data set, you will absolutely be able to trivially scale to that size. >>Okay. So now the question that I want to ask is that you're at a party and I want to say, what do you >>do? You usually tell people in my hedge fund manager? No but seriously um I I tell people I work on distributed supercomputers. Software for distributed supercomputers and that people have some idea what distributed means and supercomputers and they figure that out. >>So final question for I know you gotta go get back to programming uh some code here. Um what's the future of Hadoop in the sense of from a developer standpoint? I was having a conversation with a developer who's a big data jockey and talking about Miss kelly gets anything and get his hands on G. O. Data, text data because the data data junkie and he says I just don't know what to build. Um What are some of the enabling apps that you may see out there and or you have just conceiving just brainstorming out there, what's possible with with data, can you envision the next five years, what are you gonna see evolve and what some of the coolest things you've seen that might that are happening right now. >>Sure. Sure. I mean I think you're going to see uh just the front ends to these things getting just easier and easier and easier to interact with and at some point you won't even know that you're interacting with a Hadoop cluster that will be the engine underneath the hood but you know, you'll you'll be uh from your perspective you'll be driving a Ferrari and by that I mean you know, standard B. I tool, standard sequel query language. Um we'll all be implemented on top of this stuff and you know from that perspective you could implement, you know, really anything you want. Um We're seeing a lot of great work coming out of just identifying trends amongst masses of data that you know, if you tried to analyze it with any other tool, you'd either have to distill it down so far that you would you would question your results or that you could only run the very simplest sort of queries over um and not really get those like powerful deep insights, those sort of correlative insights um that we're seeing people do. So I think you'll see, you'll continue to see uh great recommendations systems coming out of this stuff. You'll see um root cause analysis, you'll see great work coming out of the advertising industry um to you know to really say which ad was responsible for this purchase. Was it really the last ad they clicked on or was it the ad they saw five weeks ago they put the thought in mind that sort of correlative analysis is being empowered by big data systems like a dupe. >>Well I'm bullish on big data, I think people I think it's gonna be even bigger than I think you're gonna have some kids come out of college and say I could use big data to create a differentiation and build an airline based on one differentiation. These are cool new ways and, and uh, data we've never seen before. So Aaron, uh, thanks for coming >>on the issue >>um, your inside Palo Alto Studio and we're going to.

Published Date : Sep 28 2011

SUMMARY :

the market who have been talking about uh you know, a lot of first time entrepreneurs doing their startups and I've been Uh, the amount of experience take us through who you are and when you join Cloudera, I want your background. Um but you know, I I sort of followed my other colleagues you know, from your other office was a san mateo or san Bruno somewhere in there. So you guys bolted out. Um you know we're running out of space there certainly. on silicon angle, taking more of a social angle, social media has uh you know, Um but when you start talking about running H base, which needs to be up all the time serving live traffic So, you know, there's some argument like, oh, we can do it better. Um and you know, sometimes that will be true. TMC might take that approach or um you know, map are I was trying to trying to rewrite Maybe that's a political question you might want to answer. But you know what you can say is like this is Apache Hadoop. so you know, Michaelson has a long experience. Um And you know, we're excited to see um more and more contributors to Uh Dave a lot and I on the cube talk about, you know, per terabyte to store data that you don't have to think up front about what Your, I'll see a Brown graduate and you have some interns from Brown to Brown What are some of the things you see happening around the corner that And um you know, part of it is that really we're seeing more and more schools offering And the answer is we're working hard, you know, we and others in the hindu community are working do and the ecosystem around Hadoop where, you know, the rage is the software frameworks and Um and that that's sort of the beauty of it is a software framework I need to implement some big data strategy, all this stuff. Um Not the question I thought you were going to ask me that you the value that you can get out of it and you can do so with the knowledge that when you do and that people have some idea what distributed means and supercomputers and they figure that out. apps that you may see out there and or you have just conceiving just brainstorming out out of just identifying trends amongst masses of data that you know, if you tried Well I'm bullish on big data, I think people I think it's gonna be even bigger than I think you're gonna have some kids come out of college

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