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Kevin Kroen, PwC & Bettina Koblick, UiPath | UiPath FORWARD IV


 

>>From the Bellagio hotel in Las Vegas, it's the cube covering UI path forward for brought to you by UI path. >>Welcome back to the queue. We are live at the Bellagio in Las Vegas, Lisa Martin, with Dave Volante UI path forward for it is so great to be sitting in an anchor desk next to Dave and with guests in person, we're going to be talking about automation workforce of the future. I've got two guests here with Dave and me. Kevin crone is here intelligent automation and digital upskilling leader from PWC. Kevin. Welcome. Thank you. Can't wait to talk about upskilling and Bettina Koblick is here the chief people officer at UiPath. Welcome to the program. Thanks for having me. So, as I understand that PWC has embedded UI path into a couple of product offerings. One of them we're going to talk about today, Kevin that's pro pro edge. Talk to me about that. What is that? >>So, um, as we look at, uh, challenges that C-suite leaders are facing, I think one of the biggest emerging challenges right now is around the topic of upscaling. There's the number of jobs that are being displaced, um, is growing by automation. But on the flip side, the number of jobs that are emerging is actually greater and there is a consistent challenge that gets cited there. All of our research through our CEO survey, their work we've done with the world economic forum and other sources around the need to fill that gap. And most leaders feel like they're not doing a good job to, to fill that. So, um, we at PWC have invested in developing a, a new software product called pro edge, which is really focused on, um, identifying the skills needed for the future, teaching those skills and helping to scale the usage of the skills and the organization. And one of the key skills as we look at the digital space is UI path. And we really think that, you know, teaching non technologists around the use of tools like robotic process automation is going to be one of those critical kind of must have skills in the future. >>And patina, you guys are using pro edge. Why, why, why? I mean, you're like the automation pros, what do you need? >>We need it because we have the same, um, challenges that every other company has that introduced us automation, right? People, um, people's time, their tasks that they have been doing are basically displaced. Um, and we're trying to figure out how do we up-skill re-skill how do we position people who now no longer are work working on maybe 50% of what they've done in the past for their next role? Um, so it's incredibly important for us, >>You know, you know this well, Tina and Kevin, you as well, when, when the automation trend RPA first hit, it was like, oh yeah, the trade press, come on. It's going to take away jobs, blah, blah, blah. Now we're working perpetual workdays, right? We all weekend all night, you never stopped working. You're always on. So I think people will brace automation, but as the chief people officer, first of all, how, how was it getting through the pandemic? And have you seen, I presume that UI path folks embrace automation, of course it's in your DNA, but have you seen others sort of, is that narrative done in, is COVID effected that >>I think COVID has affected it, um, for a number of reasons, because so many things shifted in how we do work. Number one, and I can talk about that a little more, but I yesterday I was in a customer advisory board meeting actually with Kevin. And the biggest conversation was not about the technology. It was around what happens when automation is introduced to a company and what happens with people, um, as to whether they want, they're willing to adopt, embrace, have an automation mindset. So that conversation isn't done at all. And it's probably one of the biggest conversations after, you know, adopting the technology, trying to introduce it as how do you drive adoption. And a lot of that is people's people's ability to understand how it will make their life easier, but then not be afraid about what's next. Uh, so I think it's absolutely still a conversation. I don't know if you feel the same. Yeah, >>Yeah. It it's been interesting. I think during the pandemic cause peoples, you know, day to day work lives have gone up ended and he start to think about, um, you know, the, the mixture between what I'll call kind of transaction oriented type work versus analytical type work. And if it just, you know, historically everyone's always said we should do less transaction work and more analytic work. But I think the pandemic was almost like forced that conversation on steroids and people's lot. You I've had to figure out that, like, I don't want to do this type of work and I'm being, I have more demands on me and I'm being asked to do other things, how can I do this more effectively? And so part of this becomes learning these skills to automate the things in front of you right now, the part of this becomes, I need to be able to, to actually have that analytical skill set in the future. And I think that is almost a precursor for what we see happening. And that was, that was the fun part of the conversation yesterday is thinking about, okay, well, what is the, you know, what is the, uh, the accounting analyst role five years from now and what someone does today versus what someone does in five years and how do you actually plan for that, >>The patina, where in your organization, like who's using it and talk to me about the adoption and their willingness to embrace it. >>Yeah. So we are, we've introduced it to our finance organization. One of the reasons we did that is because our finance organization is also a big user of automation, right? So, um, what's been really interesting is that because the technology or because pro edge kind of takes biases out of mapping, what a person can do, um, what learning paths there are for them and what their job will look like in the future, in which job do they go to or could be a potential path. I think it actually motivates people much beyond having work shifting because of automation. Because in addition, you also get to see a path, right. And everywhere you turn, just want to know what's the possibility for the future. So, um, while I'd like to say it was genius for us to envision that it's, it's a pleasant surprise and something, we should talk about more, >>I'm sensing a journey. It's always the case where I know I call it the force March to digital. We were thrown into this. And so, so much was unknown. And I know our team, I mean our producers and it's death by a thousand paper cuts in any one individual thing is not that bad, but yeah, the Moffitt, it's just, that's what kills your work day, your work week and your mental health. And so maybe it's, that's kind of the starting point is, are pigs a band-aid for, for, for, for that fundamental, but then it's wow. I can see the light bulb goes off. I can see the potential, that's where the digital upskilling comes in. I mean, maybe that's oversimplifying it, but how do you see that journey? Yeah. >>Yeah. I think there's a couple of different pieces with this cause, you know, and it goes back to the divide between the things you need to do now. And how do you think about making your life easier, but then it really goes to what you need to do in the future. And that journey to actually get there is tough because it's not just a question of, Hey, I need to pick up a textbook or pick up an online training module. And I'm just going to become an expert. It's really thinking about what are the, what's the combination of different skills. I need to learn. Some of that's going to be hands on technical skills. It's going to be platforms like UI path. It may be other complimentary platforms in the analytics space and other things. Um, some of this may also be on the kind of softer side. >>How do I learn how to work in a more agile way and have a design thinking mindset, have a product mindset, but then it's really how's that going to change my role in the future. And how do I actually, for lack of a better word, start to embed these practices in my job in a way that I'm actually learning these skills and it will stick. And how do you actually manage that co culture change? Um, for lack of better word over time. That was probably the biggest thing I picked up from yesterday was just some of this talk around change management and culture, uh, which is, you know, we, we have a lot of, for lack of better word techie. Cause if this conference would like to think about all the cool stuff that technology doing, but the big lesson learned is really, you know, you actually have to make the stick inside an organization. >>And in the last year, Kevin, I'm curious about the adoption because you know, everything we've seen so much acceleration in the last year that digital acceleration, the acceleration in automation, we've also seen tremendous, uh, people and from a cultural perspective, I'd love to, for you to shed some light on what you've seen since you've rolled this product out, how is the pandemic, has it been an enabler of that change management and that cultural change, which historically is very hard to do. >>It's very hard. And I think this, if, if I want to CFO or COO two years ago and talked about the skills gap in what was happening, the organization, I would probably get someone that would be on and say, okay, yeah, that, that, that is happening. We need to think about this, but I got 50 other things I need to worry about. You know, I think over the past year a while, things like, you know, TA TA, well, time is a big, uh, luxury or having excess time is a big luxury that most people don't have. I think there's a recognition that, um, it's a challenging work environment right now. We're trying to get more done. People are not in person. Um, people have, you know, there's issues with, with mental health and other challenges and there's, uh, almost like a renewed focus on how do we make employees lives better and better can mean different things. >>But when I think about it, it's, it's giving people a hope that they have a future career path, that their job is not going to be eliminated, that they're developing the right skills and they're being given the capacity to actually do that now. And so a lot of the discussions have really been are around that fact. And I would say probably more so than the traditional just cost saving discussion than most automation, um, threads in with RPA begin with this really, you know, became, um, we need to do this and we need to, you know, send a message to our employees that we really care about you. And this is something that is really going to be us investing in you as a perk in the future. >>What's the role of the head of human capital management in the context of automation? Is she the champion? Is she the therapist? Is she the change agent? Well, how do you see that? >>Well, clearly he should have been talking to the head of people, um, two years ago. We even, because, uh, the way I think about it, and I think a lot of people in my role think about it is, you know, a CFO really looks after the financial health of the company. Um, the focus for us is looking after the people, health of the company, right? And so I think, um, in my career, what I've learned is that change is constant. We all know this and, um, change for people is difficult. So the way I think about introducing new technology, introducing automation, introducing anything that changes or being forced to change because of something like a pandemic, um, what I really ended up thinking a lot about is how does that impact people and how do we, how do we help them through it? Um, so that's my lens. And I think that's a chief people officer lens to all of this, but makes a perfect partnership with platforms that make this easy for us. Because if you can imagine, uh, a C-suite person comes to, uh, comes to an HR department and says, tell me what we should do here. How do we develop all our people? And it's, it's an overwhelming task. What pro edge does is just beautifully delivers this on a platter, um, in a way that we could never do manually. So it's >>Talk to me a little bit Bettina about the last year and a half. And obviously as being the chief people, officer, you came in, you said about five months ago, but obviously during a very, very challenging time, I always think that the employee experience is directly related to the customer experience. I see them as inextricably linked, how have you been able to foster a good employee experience in your time here in a very strange world so that the customer experience, I mean, you guys are a fast moving company, 8,000 plus customers. So that, that customer experience is a stellar as UI path has always had to be. >>Yeah, I think for us, it came down to just some simple things. Um, one is just being flexible. Uh, there was not a one size fits all. We had to recognize that we have to meet people in a place that works for them, everybody, uh, dealt with a different reality and the same for our customers. Um, and I agree with you. I think employees that feel enabled that feel safe, that feel they have a future, um, have a much different relationship with their customers, um, then employees that are worried about their safety and security and whatnot. So we really took an approach of flexibility, safety, um, meeting people where they are jumping in when there were big crises in India and whatnot to really, really take care of our people and help them understand that we're here for >>Big impact on mental health. Did you see that, um, there was an insert in the wall street journal. I think it was last week, uh, women at work. Um, and it was a stat in there. I don't know if you're a working mom, but it said that, uh, 30, it was Qualtrics was the source. 30% of working moms said their mental health had declined since the pandemic. Interestingly only 15. I said only 15% of working dads. Um, so that was sort of interesting, uh, and notable, uh, but you know, to your point, CFO, financial health of the company, the chief people officer, the, the human capital health. Yeah. >>Um, very much so. And by the way, I'm not surprised by that stat as a woman. >>I thought it was, I thought it was low. I was talking to my wife about it the other day. She's not a working mom, but she's like my mental health, even though I'm not a working mom, I have my mental health. I'm a working dad, but, but I got it easier than she does, but, but, and I'm not surprised at the disparity. I'm surprised that the only 30% and 50%, I think it's a lot higher than that. And people may be just like, I don't know if that's actually, maybe some people like working at home and that's, I could see that both sides of that equation. Yeah. >>There's also a stigma around mental health that we've, that's been addressed in. So even during the Olympic coverage this last summer, but having your team be really focused and enabled and knowing that they took to your point, Kevin, from an upscale perspective, that they have a path where they can go, they can increase their own value to the company. >>I completely agree. And I think, uh, other studies show that what people really want is a future at work. And, and this is what I think privilege dresses. Beautiful. >>Yeah. It's interesting. Right. Cause I think when you talk about some of the mental health challenges, I think it can get down very quickly to a cab just on this crazy schedule or I'm on zoom for 14 hours a day. And I, I don't have the time to breathe in my time commuting where I may have had time to decompress. It's just been replaced with more meetings. And I think that that may be the, like the surface issue, but I actually think if you go below the surface, not being in the office, not having some of the in-person networking, not having some of that creates anxiety about the future. And you're not really sure around, okay, what does my career path look like? I may not be getting the amount of career counseling that I used to get just by impromptu conversations or, you know, just by more traditional ways. Um, but I think the reality is when we look at the way most companies are thinking about their future work models. It's not going to go back to the way the world operated two years ago, it's, we're going to be in some sort of hybrid model. And so it really becomes more important to actually dig below where maybe some of the challenges were in the passengers, not surfaced. And I think upskilling and thinking about, um, kind of role skills and roles, it just becomes a much more important conversation. >>Absolutely. Last question, Bettina for you, we're almost out of time, but you started this in the, in financial, in the finance organization. What do you see over the next couple of years in terms of being very much UI path land and expand with your customers? Where do you see it rolling out across two iPads. >>We're already talking to our sales enablement group. Um, for a couple of reasons we want them to experience it. We want them to have also, we want them to have the conversations with our customers much like what we learned yesterday, right? It's a multi-dimensional conversation. It's not just a financial ROI, it's a people journey, change management. So we'll, we're taking it to our sales enablement group. We're absolutely gonna use it in HR, uh, obviously. Um, and I, I would just think we'll use it in two years. It'll be enterprise wide >>Different is pro edge in the marketplace. And just in, particularly in terms of its business impact. >>Yeah. I take a stab. So when we think about the challenge in a topic like digital upskilling, I think in traditional approaches to learning, it would be okay, we're going to enroll someone in a learning program. You know, you're going to go through, do certain amount of self study. Maybe there's a class, the some classroom based training. And that's it. I think for us, we saw two different challenges on both sides of that. One was trying to identify who needs to learn, what, and what part of the organization, why is that important? What an executive may need to learn is going to be different from what someone who does the transaction processing, uh, for their, their full-time job needs to learn and learning kind of from basic digital acumen through kind of hands-on skills. What are the different, um, pieces? I think probably the more interesting part is the back end of that. >>And thinking about, you know, how do you actually put these skills into practice and how do you put scale? One of the buzzwords that's thrown around at this conference a lot is the concept of citizen led automation as a topic. And really how, how do you have your, does this users building bots or creating data dashboards or doing other things that is, um, that's challenging. So as we design the product, what we really wanted to think about was that end to end journey from kind of the point of identifying skills through the point of scaling a citizen led effort. It's one of the things we're really excited to be working with UI path on is one of the core technologies that we, that we view in this ecosystem is really thinking about how do you make that happen? And if the outcome is not just people are new things, but the outcome are, people are actually creating solutions that are, that are having an impact on their job on a day to day basis. We think that's a really powerful concept. >>It's really important work, what you guys are doing. Thank you both for joining David me on the program today, talking about this very interesting symbiotic relationship partners, PWC UI path customers. Really interesting, great work that you're doing. Thanks for joining us. Thank you so much for having us for Dave Volante. I'm Lisa Martin. You're watching the cube live from Las Vegas at the Bellagio UI path forward for it. We'll be right back, stick around.

Published Date : Oct 6 2021

SUMMARY :

UI path forward for brought to you by UI path. We are live at the Bellagio in Las Vegas, Lisa Martin, And we really think that, you know, teaching non technologists around the use of tools like And patina, you guys are using pro edge. We need it because we have the same, um, challenges that every other company has that And have you seen, And it's probably one of the biggest conversations after, you know, I think during the pandemic cause peoples, you know, day to day work The patina, where in your organization, like who's using it and talk to me about the adoption and their And everywhere you turn, just want to know what's the possibility for the future. I mean, maybe that's oversimplifying it, but how do you see that journey? divide between the things you need to do now. technology doing, but the big lesson learned is really, you know, you actually have to make the stick inside an And in the last year, Kevin, I'm curious about the adoption because you know, And I think this, if, if I want to CFO or COO And this is something that is really going to be us investing in you as a perk And I think that's a chief people officer lens to all I always think that the employee experience is directly related to the customer experience. I think employees that feel enabled that uh, and notable, uh, but you know, to your point, CFO, And by the way, I'm not surprised by that stat as a woman. I'm surprised that the only 30% and 50%, I think it's a lot So even during the Olympic coverage And I think, uh, other studies show that what people really I don't have the time to breathe in my time commuting where I may have had time to decompress. What do you see over the next couple of years in terms of being very much UI path Um, for a couple of reasons we want them to experience Different is pro edge in the marketplace. I think for us, we saw two different challenges on both sides of that. is one of the core technologies that we, that we view in this ecosystem is really thinking about how do you make that happen? It's really important work, what you guys are doing.

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Günther Tschabuschnig, ZAMG | SUSECON Digital '20


 

>> Narrator: From around the globe, it's theCUBE with coverage of SUSECON Digital, brought to you by SUSE. >> Welcome back, I'm Stu Miniman. And this is theCUBE's coverage of SUSECON Digital '20. Really excited we get to talk to the SUSE executives, their partners and their customers. In this segment, we have one of the customers, he's in the keynote and really excited to talk to him, Günther Tschabushnig and he is the CIO of ZAMG. If you're not familiar with them, they are the Central Institute for meteorology and geodynamics, the oldest weather service in the world, based out of Austria. Günther, thank you so much for joining us. Great to see you. >> Thank you for being here, thank you. >> All right, so obviously weather something we are very interested on theCUBE. We talk how important data is. And data, is it for central to what your service is doing, providing data, the organizations, they can do lots with it. Give us a little bit, we probably don't have time to go through the 150 plus, years history of the organization, but tell us a little bit about what your organization does, and especially your role as CIO. What's involved with that? >> Oh, let me hook you in. One thing you said, we have the oldest, weather service in the world. I always tell people, we are doing big data analytics between until 1851. And actually that's true. We have actually two big data centers based in Austria. We are operating about 20 petabytes of data, 100,000 data sets per minute. What is very, very interesting for tech guys. We have one small data center additional on over 3000 meters above sea level on the observatory. It's in the middle of the glacier. Can't imagine how cool that is. When you go up, into the glacier and yeah, you have a lot of sensors, a lot of measurements and a lot of data collecting, configurations. Actually, we are also using a lot of super-computers. We do simulating, we do a lot of AI. We did big data analytics and the most important thing, we do a lot of cooperation with the people that are out there. >> Yeah, in 1851, wasn't exactly super-computers. You're gathering data from a lot of sources. Help us understand a little bit. What are some of the, asks that the business have for you? What are the kind of challenges? In 2020, that might be a little bit different than they were years ago. >> Weather comes from, but different source, actually in 1851, it was more for the King, for their wars. Nowadays it's much more peaceful, thank, God. It's more for sporting, it's more for producing things. It's a lot for logistics, but it's actually for all the human people are out there, and therefore we have to use a lot of data, a lot of processes and a lot of different customer journeys. Our most important thing is customer first. So we try to produce, our full costs, our, integrated processes, especially for the customers. Justin, quick example is, the Olympic winter games. The ZMAG is doing the forecast for the last two, winter games, because we are doing now casting and we're very good at now casting that means the forecast between the next five minutes to 15 minutes, with, what's it call a breath of 100, 150 meters, which is very, very important for, some kind of events. But we do other forecast as well. The only thing we cannot forecast but we also to, earthquakes, that means naturally earthquakes on the one side, on the other side, artificial earthquakes, which are produced through, normally bombs or nuclear bombs. And, we are working with the CTBTO, the UN organization together to analyze and to measure is illegally, nuclear tests. To make the world a little bit a better place. >> Yeah, so Günther it's interesting you mentioned in the early days it was, weather for the king. One of the things we look about in data, especially in the public sector is what data, where do you collected from? How much hearing is there? Can you talk a little bit about, how it goes kind of beyond your borders and is there, I guess, how do you work with other organizations there any of data that shared any of the models? How does that work together in your organization? >> The most important thing is the link data to link our data to other organizations and to collect other data from other organizations. It's not forecast anymore. It's forecast, integrating into processes, especially in the business processes. Weather doesn't stop at the borders. That's a good thing. So we had a lot of collaboration with our neighbors. We found a weather services from our neighbors. That's one thing. I have them, the big picture. For, our models for our simulations. But what we also do is a lot of crowd data. Because the more data we get, the more data we can assimilate into our model. The better, the higher is the resolution of our forecast, so we do a lot of integration of this crowd source weather, that could be on the one hand, a simple app that could be a weather station, in our, in your home. But that could also be a photograph. What did you do with your smartphone? Well, we do artificial intelligence algorithms. To get out the information about clouds, about damages, what we integrate again in our models, in our simulations. And give you the better forecast as a response. We have a big, cooperation, for example, with, the Austrian fire department. They get the best forecasts we can ever do. A specialist forecast for the emergencies. When does, a fire in the woods, for example, they need a special soil moisture for example, then wind directions. Do we need wind strengths? They can use this on their smartphone. They can, use the smart watch. They do pictures after emergency, send it back to us. We analyze it and do a live modeling through our super-computers. To have a better forecast on this place. >> Excellent, now you talked about a bit about communities, leveraging, a lot of different technologies, I guess that's a good way for us to help connect the dots to us talking here to at SUSECON. Obviously, open-source, the communities, the piece of what we or hearing at the show. Talk to us a little bit about SUSE , what technologies are using them, what's the role of open-source, is that, the piece of how you look at technology. >> Nothing is more boring than they get weather from yesterday. So what we need is a really fast development of our forecasts, to our customers. And SUSE helps us, there. We have special services, especially on our ship of computers. Well, we use the special SUSE ranking system. We use SUSE, on our storage systems on our software defined storage system. To have a, we can develop man, to our customers, to our cooperation partners. And, the last big thing is we use SUSE containering, that forms, and on AI platforms. So the new SUSE AI platform, we tried to do forecasts for avalanches, for snow avalanches and that's a really, really big effort at the moment, because there are people dying every year in Austria and in the Alps, because of avalanches. And maybe we can save some of them, because we do have good forecast together with SUSE. >> Excellent, you talk about moving to containerization, gives a little insight. You are a government agency. How easy it is for you to take advantage of new technologies? Any guidance you can give as to things that you've through that might be able to help? >> Innovation and new technologies, but kind of moving on the edge, because on the one hand we have 24/7, the whole year long, we have to be high availability. We have a very stable, on the other hand, we want to have new technologies, new innovations. So it's really, really working on the edge. We use two groups, two separate data centers. On one hand, we do the all the stable thing. The high availability things on the other things. On the other data center, on other group, they are doing the true new things. They do containerization, they do blockchain and they do artificial intelligent moves. And the thing is they are working together. They are connected, that means tell it this way. We have a very, very experienced, head of our one group, our stable 24/7 group, and very, very young high potential or not innovation group. To be honest, first two weeks they hated each other, because one guy wanted to have the innovation and going forward and forward and forward, and the other one said, "No stop, we have to be stable. "That's the most important thing." After four weeks with a lot of maintenance for sure, and with a lot of guidance, they started to love each other because they can learn from each other. And that's the main point. We learned about all of these things. Now we can combine, stable with technology, with new technology, with cool, new things, which can be proved in the one side and integrate that in the stable side, a little later. >> That's an excellent story to learn from, learning so important, great to hear that the more traditional, reliable group and the new innovation group work together. Of course we can't let you go talking about weather without touching on climate. So, anybody that's watched the space with his global pandemic has some interesting, I guess you'd say, positive side effects, there are parts of the world where pollution's cleaned up, major impacts, on climate that, I'd expect you have some interesting data on. What can you share, when it comes to climate change? Any advice, you'd give for business leaders, that are looking to help contribute in a positive way. >> Okay, sure actually, a data center, we are also data hub for the ESA, the European Space Agency for their sentinel data. This data is very interesting, because it hasn't direct shows and direct impact how the climate is changing. The most important thing I can tell you as a CIO, it is changing. That's the most important thing. What we are looking for is how can we combine data, to stop this climate change. How can we show other leaders, politicians, etc. How to stop it, how can we work against it, and how they can be cooperate, work against. The thing is if we only show us the weather service, our climate data, that's nice to have. You see what a curve that's going to be warmer and warmer and the parameters are changing, but that's not the goal. The goal is, how can we work together? How can we link data together? To stop pollution, to stop several kind of attributes. To stop climate change. We started to do some collaborations with big companies. One of these is SUSE. One of these is Hewlett Packard, to work together. To combine resources, to combine a compute power, to combine storage, to combine knowledge, especially data to stop climate change. >> Excellent, so Günther final question is, anything you've been seeing strange, being a CIO, a question we always have, something we heard in the keynote is the changing role of the CIO. You talked a bit about AI, talked about, you live with actual cloud, and super-computers. So what in 2020 is kind of different about the role of CIO? >> What I really learned is IT, it's the supporting accompany or the supporting department anymore. IT is, the strategic partner of each domain we have, we had all our scientists and they always told us, "We had a scientist and we need IT." From several years now, they started to work together with the IT, with Artificial Intelligence, with big data analytics, with several platforms, both integrations, how to, solve problems. So the CIO especially, is not the IT leader anymore, it's more the management part of the management board. So that means, the integration of the CIO in the whole company is much, much more then it was several years ago. Meg Whitman, I met years ago and we had a good talk, told me there is no company anymore without IT. That's not correct. There's no company anymore that is IT. Even every culture is IT, everything is IT. It's no support anymore, it's linking anymore. >> Excellent, yeah Günther, such an important point to talk about if a company, is going to thrive in the modern era. Data is such a critical piece of that gives you as a CIO, a seat at the table to work closely with them, because if the business needs to be driven by data, the CIO's role of connecting IT in the business, so important. Thank you so much for sharing your stories. Pleasure to talk with you. >> Thank you, it was a pleasure. >> All right, and we'll be back with more coverage from SUSECON Digital '20. I'm Stu Miniman and thank you for watching theCUBE. (upbeat music)

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Renee Tarun, Fortinet & Derek Manky, FortiGuard Labs | CUBEConversation, March 2020


 

(soft music) >> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world: this is a CUBE conversation. >> Everyone, welcome to this special cube conversation. We're here in the Palo Alto studios, where I am; here during this critical time during the corona virus and this work at home current situation across the United States and around the world. We've got a great interview here today around cybersecurity and the threats that are out there. The threats that are changing as a result of the current situation. We got two great guests; Derek Manky, Chief Security Insights and Global Threat Alliances at FortiGuard labs. And Renee Tarun, deputy Chief Information Security Officer with Fortinet net. Guys, thanks for remotely coming in. Obviously, we're working remotely. Thanks for joining me today on this really important conversation. >> It's a pleasure to be here. >> Thanks for having us. >> So Renee and Derek. Renee, I want to start with you as deputing CISO. There's always been threats. Every day is a crazy day. But now more than ever over the past 30 to 45 days we've seen a surge in activity with remote workers. Everyone's working at home. It's disrupting family's lives. How people do business. And also they're connected to the internet. So it's an endpoint. It's a (laughs) hackable environment. We've had different conversation with you guys about this. But now more than ever, it's an at scale problem. What is the impact of the current situation for that problem statement of from working at home, at scale. Are there new threats? What's happening? >> Yeah, I think you're seeing some organizations have always traditionally had that work at home ability. But now what you're seeing is now entire workforces that are working home and now some companies are scrambling to ensure that they have a secure work at home for teleworkers at scale. In addition some organizations that never had a work from home practice are now being forced into that and so a lot of organizations now are faced with the challenge that employees are now bringing their own device into connecting to their networks. 'Cause employees can't be bring their workstations home with them. And if they don't have a company laptop they're of course using their own personal devices. And some personal devices are used by their kids. They're going out to gaming sites that could be impacted with malware. So it creates a lot of different challenges from a security perspective that a lot of organizations aren't necessarily prepared for. It's not only from a security but also from a scalability perspective. >> When I'm at home working... I came into the studio to do this interview. So I really wanted to talk to you guys. But when I'm at home, this past couple weeks. My kids are home. My daughter is watching Netflix. My son's gaming, multiplayer gaming. The surface area from a personnel standpoint or people standpoint is increased. My wife's working at home. My daughters there, two daughters. So this is also now a social issue because there are more people on the WiFi, there's more bandwidth being used. There's more fear. This has been an opportunity for the hackers. This crime of fear using the current situation. So is it changing how you guys are recommending people protect themselves at home? Or is it just accelerating a core problem that you've seen before? >> Yeah, so I think it's not changing. It's changing in terms of priority. I mean, all the things that we've talked about before it's just becoming much more critical. I think, at this point in time. If you look at any histories that we've... Lessons we've learned from the past or haven't learned (laughs). That's something that is just front and center right now. We've seen attack campaigns on any high level news. Anything that's been front and center. And we've seen successful attack campaigns in the past owing to any sort of profile events. We had Olympic destroyer last last Olympic period, when we have them in Korea as an example, in South Korea. We've seen... I can go back 10 years plus and give a History timeline, every single there's been something dominating the news. >> John: Yeah. And there's been attack campaigns that are leveraged on that. Obviously this is a much higher focus now given the global news domination that's happening with COVID. The heightened fear and anxiety. Just the other day FortiGuard labs, we pulled up over 600 different phishing emails and scam attempts for COVID-19. And we're actively poring through those. I expect that number to increase. Everybody is trying to hop on this bandwagon. I was just talking to our teams from the labs today. Groups that we haven't seen active since about 2011, 2012. Malware campaign authors. They're riding this bandwagon right now as well. So it's really a suction if you will, for these cyber criminals. So all of the things that we recommend in the past, obviously being vigilant, looking at those links coming in. Obviously, there's a lot of impersonators. There's a lot of spoofing out there. People prefer pretending to be the World Health Organization. We wrote a blog on this a couple of weeks back. People have to have this zero trust mentality coming in. Is everyone trying to ride on this? Especially on social networks, on emails. Even phishing and voice vishing. So the voice phishing. You really have to put more... People have to put more of a safeguard up. Not only for their personal health like everyone's doing the social distancing but also virtual (laughs) social distancing when it comes to really trusting who's trying to send you these links. >> Well, I'm glad you guys have the FortiGuard guard labs there. And I think folks watching should check it out and keep sending us that data. I think watching the data is critical. Everyone's watching the data. They want the real data. You brought up a good point, Rene. I want to get your thoughts on this because the at scale thing really gets my attention because there's more people at home as I mentioned from a social construct standpoint. Work at home is opening up new challenges for companies that haven't been prepared. Even though ones that are prepared have known at scale. So you have a spectrum of challenges. The social engineering is the big thing on Phishing. You're seeing all kinds of heightened awareness. It is a crime of opportunity for hackers. Like Derek just pointed out. What's your advice? What's your vision of what's happening? How do you see it evolving? And what can people do to protect themselves? What's the key threats? And what steps are people taking? >> Yeah, I think, like Derek said, kind of similar how in the physical world we're washing our hands. We're keeping 6 feet away from people. We could distance from our adversaries, as well. Again when you're looking at your emails ensuring that you're only opening attachments from people that you know. Hovering over the links to ensure that they are from legitimate sources. And being mindful that when you're seeing these type of attacks coming in, whether they are coming through emails. Through your phones. Take a moment and pause and think about would someone be contacting me through my cell phone? Through sending me a text message? or emails asking me for personal information? Asking me for user IDs and passwords, credential and information. So you kind of need to take that second and really think before you start taking actions. And similar to opening attachments we've seen a lot of cases where someone attaches a PDF file to an email but when you open up the PDF it's actually a malware. So you need to be careful and think to yourself, was I expecting this attachment? Do I know the person? And take steps to actually follow up and call that person directly and say, "Hey, did you really send this to me? "Is this legitimate?" >> And the thing-- >> You got to to be careful what you're opening up. Which links you click on. But while I got you here, I want to get your opinion on this because there's digital attacks and then there's phone based attacks. We all have mobile phones. I know this might be a little bit too elementary, but I do want to get it out there. Can you define the difference in phishing and spear phishing for the folks that are trying to understand the difference in phishing and spear phishing techniques. >> The main difference is spear phishing is really targeting a specific individual, or within a specific role within a company. For example, targeting like the CEO or the CFO. So those are attacks that are specifically targeting a specific individual or specific role. Where phishing emails are targeting just mass people regardless of their roles and responsibilities. >> So I'm reading the blog post that you guys put out. Which I think everyone... I'll put the link on SiliconANGLE later. But it's on fortinet.com Under digital attacks you've got the phishing and spear phishing which is general targeting an email or individually spear spearing someone specifically. But you guys list social media deception, pre-texting and water holing as the key areas. Is that just based on statistics? Or just the techniques that people are using? Can you guys comment on and react to those different techniques? >> Yeah, so I think with the water holing specifically as well. The water holing attack refers to people that every day as part of their routine going to some sort of, usually a news source. It could be their favorite sites, social media, etc. Those sorts of sources because it's expected for people to go and drink from a water hole, are prime targets to these attackers. They can be definitely used for spear phishing but also for the masses for these phishing campaigns. Those are more effective. Attackers like to cast a wide net. And it's especially effective if you think of the climate that's happening right now, like you said earlier at the start of this conversation. That expanded attack surface. And also the usage of bandwidth and more platforms now applications. There's more traffic going to these sites simply. People have more time at home through telework. To virtually go to these sites. And so, yeah. Usually what we see in these water holing attacks can be definitely phishing sites that are set up on these pages. 'Cause they might have been compromised. So this is something even for people who are hosting these websites, right? There's always two sides of the coin. You got security of your client side security And your service side security-- >> So spear phishing is targeting an individual, water holing is the net that gets a lot of people and then they go from there. Can you guys, Renee or Derek talk about social media deception and pretexting. These are other techniques as well that are popular. Can you guys comment and define those? >> Yeah, so some of the pretexting that you're saying is what's happening is adversaries are either sending text, trying to get people to click on links, go to malicious sites. And they're also going setting up these fabricated stories and they're trying to call. Acting like they're a legitimate source. And again, trying to use tactics and a lot of times scare tactics. Trying to get people to divulge information, personal information. Credit card numbers, social security numbers, user IDs and passwords to gain access to either-- >> So misinformation campaigns would be an example that like, "I got a coven virus vaccine, put your credit card down now and get on the mailing list." Is that was that kind of the general gist there? >> Absolutely. >> Okay. >> And we've also seen as another example, and this was in one of our blogs I think about a couple weeks ago some of the first waves of these attacks that we saw was also again, impersonating to be the World Health Organization as part of pretexting. Saying that there's important alerts and updates that these readers must read in their regions, but they're of course malicious documents that are attached. >> Yeah, how do people just get educated on this? This is really challenging because if you're a nerd like us you can know what a URL looks like. And you can tell it's a host server or host name, it's not real. But when they're embedded in these social networks, how do you know? what's the big challenge? Just education and kind of awareness? >> Yeah, so I'll just jump in quickly on that. From my point of view, it's the whole ecosystem, right? There's no just one silver bullet. Education, cyber hygiene for sure. But beyond that obviously, this is where the security solutions pop in. So having that layered defense, right? That goes a long way of everything from anti-spam to antivirus. To be able to scan those malicious attachments. Endpoint security. Especially now in the telework force that we're dealing with having managed endpoint security from distributed enterprise angle is very important because all of these workstations that were within the corporate network before are now roaming--quote unquote--roaming or from home. So it's a multi-pronged approach, really. But education is of course a very good line of defense for our employees. And I think updated education on a weekly basis. >> Okay, before we get to the remote action steps, 'Cause I think the remote workers at scales like the critical problem that we're seeing now. I want to just close out this attack social engineering thing. There's also phone based attacks. We all have mobile phones, right? So we use such smartphones. There's other techniques in that. What are the techniques for the phone based attacks? >> Yeah, a lot of times you'll see adversaries, they're spoofing other phones. So what happens is that when you receive a call or a text it looks like it's coming from a number in your local area. So a lot of times that kind of gives you a false sense of security thinking in that it is a legitimate call when in reality they're simply just spoofing the number. And it's really coming from somewhere else in the country or somewhere else in the world. >> So I get a call from Apple support and it's not Apple support. They don't have a callback, that's spoofing? >> That's one way but also the number itself. When you see the number coming in. For example, I'm in the 410 area code. Emails coming in from my area code with my exchange is another example where it looks like it's someone that's either a close friend or someone within my community when in reality, it's not. >> And at the end of the day too the biggest red flags for these attacks are unsolicited information, right? If they're asking for any information always, always treat that as a red flag. We've seen this in the past. Just as an example with call centers, hotels too. Hackers have had access right to the switchboards to call guests rooms and say that there's a problem at the front desk and they just want to register the users information and they asked for credit card guest information to confirm all sorts of things. So again, anytime information is asked for always think twice. Try to verify. Callback numbers are a great thing. Same thing in social media if someone's messaging you, right? Try to engage in that dialect conversation, verify their identity. >> So you got-- >> That's also another good example of social media, is another form of essential engineering attacks is where people are creating profiles in say for example, LinkedIn. And they're acting like they're either someone from your company or a former colleague or friend as another way to try and make that human to human connection in order to do malicious things. >> Well, we've discussed with you guys in the past around LinkedIn as a feeding ground for spear phishing because, "Hey, here, don't tell your boss but here's "a PDF job opening paying huge salary. "You're qualified." Of course I'm going to look at that, right? So and a lot of that goes on. We see that happen a lot. I want to get your thoughts, Renee on the the vishing and phishing. Smishing is the legitimate source spoofing and vishing is the cloaking or spoofing, right? >> Yeah, smishing is really the text based attacks that you're seeing through your phones. Vishing is using more of a combination of someone that is using a phone based attack but also creating a fake profile, creating a persona. A fabricated story that's ultimately fake but believable. And to try and encourage you to provide information, sensitive information. >> Well, I really appreciate you guys coming on and talking about the attackers trying to take advantage of the current situation. The remote workers again, this is the big at scale thing. What are the steps that people can take, companies can take to protect themselves from or the at scale remote worker situation that could be going on for quite some time now? >> Yeah. So again, at that scale with people in this new normal as we call it, teleworking. Being at scale is... Everyone has to do their part. So I would recommend A from an IT standpoint, keeping all employees virtually in the loop. So weekly updates from security teams. The cyber hygiene practice, especially patch management is critically important too, right? You have a lot of these other devices connected to networks, like you said. IoT devices, all these things that are all prime attack targets. So keeping all the things that we've talked about before, like patch management. Be vigilant on that from an end user perspective. I think especially putting into the employees that they have to be aware that they are highly at risk for this. And I think there has to be... We talked about changes earlier. In terms of mentality education, cyber hygiene, that doesn't change. But I think the way that this isn't forced now, that starts with the change, right? That's a big focus point especially from an IT security standpoint. >> Well, Derek, keep that stat and keep those stats coming in to us. We are very interested. You got the insight. You're the chief of the insights and the global threat. You guys do a great job at FortiGuard guard labs. That's phenomenal. Renee, I'd like you to have the final word on the segment here and we can get back to our remote working and living. What is going on the mind of the CISO right now? Because again, a lot of people are concerned. They don't know how long it's going to last. Certainly we're now in a new normal. Whatever happens going forward as post pandemic world, what's going on in the mind of the CISO right now? What are they thinking? What are they planning for? What's going on? >> Yeah, I think there's a lot of uncertainty. And I think the remote teleworking, again, making sure that employees have secure remote access that can scale. I think that's going to be on the forefront. But again, making sure that people connecting remotely don't end up introducing additional potential vulnerabilities into your network. And again, just keeping aware. Working closely with the IT teams to ensure that we keep our workforces updated and trained and continue to be vigilant with our monitoring capabilities as well as ensuring that we're prepared for potential attacks. >> Well, I appreciate your insights, folks, here. This is great. Renee and Derek thanks for coming on. We want to bring you back in when should do a digital event here in the studio and get the data out there. People are interested. People are making changes. Maybe this could be a good thing. Make some lemonade out of the lemons that are in the industry right now. So thank you for taking the time to share what's going on in the cyber risks. Thank you. >> Thank you, we'll keep those stats coming. >> Okay, CUBE conversation here in Palo Alto with the remote guests. That's what we're doing now. We are working remotely with all of our CUBE interviews. Thanks for watching. I'm John Furrier, co-host to theCUBE. (soft music)

Published Date : Mar 27 2020

SUMMARY :

this is a CUBE conversation. We're here in the Palo Alto studios, where I am; But now more than ever over the past 30 to 45 days are now being forced into that I came into the studio to do this interview. I mean, all the things that we've talked about before I expect that number to increase. The social engineering is the big thing on Phishing. from people that you know. for the folks that are trying to understand For example, targeting like the CEO or the CFO. So I'm reading the blog post that you guys put out. that every day as part of their routine going to Can you guys comment and define those? Yeah, so some of the pretexting Is that was that kind of the general gist there? some of the first waves of these attacks that we saw And you can tell it's So having that layered defense, right? What are the techniques for the phone based attacks? So a lot of times that kind of gives you and it's not Apple support. For example, I'm in the 410 area code. And at the end of the day too that human to human connection So and a lot of that goes on. And to try and encourage you and talking about the attackers trying And I think there has to be... What is going on the mind of the CISO right now? I think that's going to be on the forefront. that are in the industry right now. I'm John Furrier, co-host to theCUBE.

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Fumihiko Nakajima, Dentsu Inc. | Sports Tech Tokyo World Demo Day 2019


 

(upbeat electronic music) >> Hey welcome back everybody, Jeff Frick here with theCUBE. We are at Oracle Park in San Francisco for a really special event. It's called Sports Tech Tokyo World Demo Day, really bringing together a bunch of innovative companies in the sports tech space, really with a focus on not only sports but beyond sports. And we're happy to have really one of the key players here that made this all happen from Dentsu. He's Fumihiko Nakajima, the Senior Director of Business Development from Dentsu. Welcome. >> Hi, nice to meet you. >> Yeah absolutely. So for people that aren't familiar with Dentsu, give us a little overview of Dentsu as a company and then we'll get into the specific event. >> Yeah, Dentsu has a long history focusing on broadcasting rights and sponsorship for event globally. But combining such kind of global asset and new technology to create a new business in sports tech industry and beyond sports industry. >> Right. So pretty interesting way to do that, so you didn't just go find some interesting companies, you guys have created this event to bring a lot of companies together, demonstrate their technology. What was kind of the thinking and how did you guys get involved? >> Yeah. Combining the new asset and technologies and global asset, there are lot of the Japanese company global brand, SoftBank, ITOCHU, Sony Music, Microsoft, and CBC. Such kind of companies very interested in, create new business with innovative staff all over the world. So that's a basis of this event. >> Right, right. So, you got the Tokyo Olympics coming up in a year, so that's kind of a catalyst to make all this happen. Is there anything special that you see between, you know, kind of sports technology and managing teams, sports technology applied to the athletes, and then sports technology applied to the fan experience that you're most excited about? >> Yeah, that's correct. This is a beginning. Next month world Rugby World Cup, the next year, Tokyo Olympic and Paralympic we have. That's a beginning, so, you know the, the sports and live entertainment beyond live entertainment, health cares, biometrics, bio mechanics, from the point of sports. But we enter into the new field and explore the new business field. >> Jeff: Right. >> With the great start-ups and industry leaders on the basis, that who joining these communities. >> Right, right. No, it's pretty interesting because you know the, companies spend so much money now on the players and really look at them as investments. A lot of players get hundred million dollar contracts now. So it's pretty interesting on kind of the health care and the like we talked earlier, sleep and nutrition-- >> Yeah. >> And all these things to keep that athlete performing, are really applicable to everyday people like you and me. >> Yeah. You know that Dentsu has more than one century history in marketing and branding all over the world. And our assets, such kind, properties and, global network, will really help the new technologies and new start up, the new business field. >> Jeff: Right. >> Grow rapidly. >> Jeff: Right. >> All over the world. >> Right. It's interesting, too, that so much of the stuff around the sports, you talked about sponsorship and rights beyond just the score, you know, is so important these days. To feed the 24/7 news cycle, to do fantasy sports, the changes in the gambling law, so there's so much stuff around sports that's beyond the sport that's watched in this industry grow and grow and grow. >> Yeah it's a very interesting point. We know new, legal we will need, a new legal and a new set-up structure for the new business. >> Jeff: Right. >> In specific Tokyo, a lot of specialist joined to help such kind of structures for the futures. >> Right. So before I let you go, it's a busy day, have you been to this park before, home of the Giants, and what do you think? >> Yeah very, very, very special day. It will be very memorable day that one of the best historic venue in America, the San Francisco Giants stadium, Oracle Park. We really excited to share our progress, concrete progress, and want to expand our trial to all over the world. >> Great, well thanks for inviting us and we're, we're excited to watch the story unfold. >> Yeah, thank you. >> Alright. He's Fumihiko, I'm Jeff, you're watchin' theCUBE. We're at Oracle Park in San Francisco, thanks for watching. (upbeat music)

Published Date : Aug 21 2019

SUMMARY :

really one of the key players here So for people that aren't familiar with Dentsu, and new technology to create a new business and how did you guys get involved? all over the world. and then sports technology applied to the fan experience and explore the new business field. and industry leaders on the basis, and the like we talked earlier, sleep are really applicable to everyday people like you and me. in marketing and branding all over the world. beyond just the score, you know, structure for the new business. to help such kind of structures for the futures. home of the Giants, that one of the best historic venue in America, and we're, we're excited to watch the story unfold. We're at Oracle Park in San Francisco,

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Matt Kobe, Chicago Bulls | MIT CDOIQ 2019


 

>> from Cambridge, Massachusetts. It's the Cube covering M. I. T. Chief Data officer and Information Quality Symposium 2019. Brought to you by Silicon Angle Media. >> Welcome back to M. I. T. In Cambridge, Massachusetts. Everybody You're watching The Cube, the Leader and Live Tech coverage. My name is Dave Volante, and it's my pleasure to introduce Matt Kobe, who's the vice president of business strategy Analytics of Chicago Bulls. We love talking sports. We love talking data. Matt. Thanks for coming on. >> No problem getting a date. So talk about >> your role. Is the head of analytics for the Bulls? >> Sure. So I work exclusively on the business side of the operation. So we have a separate team that those the basketball side, which is kind of your players stuff. But on the business side, um, what we're focused on is really two things. One is being essentially internal consultants for the rest of the customer facing functions. So we work a lot with ticketing, allow its sponsorship, um, marketing digital, all of those folks that engage with our customer base and then on the backside back end of it, we're building out the technical infrastructure for the organization right. So everything from data warehouse to C. R M to email marketing All of that sits with my team. And so we were a lot of hats, which is exciting. But at the end of the day, we're trying to use data to enhance the customer and fan experience. Um and that's our aim. And that's what we're driving towards >> success in sports. In a larger respect. It's come down to don't be offended by this. Who's got the best geeks? So now your side of the house is not about like you say, player performance about the business performances. But that's it. That's a big part of getting the best players. I mean, if it's successful and all the nuances of the N B, A salary cap and everything else, but I think there is one, and so that makes it even more important. But you're helping fund. You know that in various ways, but so are the other two teams that completely separate. Is there a Chinese wall between them? Are you part of the sort of same group? >> Um, we're pretty separate. So the basketball folks do their thing. The business folks do their thing from an analytic standpoint. We meet and we collaborate on tools and other methods of actually doing the analysis. But in terms of, um, the analysis itself, there is a little bit of separation there, and mainly that is from priority standpoint. Obviously, the basketball stuff is the most important stuff. And so if we're working on both sides that we'd always be doing the basketball stuff and the business stuff needs to get done, >> drag you into exactly okay. But which came first? The chicken or the egg was It was the sort of post Moneyball activity applied to the N B. A. And I want to ask you a question about that. And then somebody said, Hey, we should do this for the business side. Or was the business side of sort of always there? >> I think I think, the business side and probably the last 5 to 7 years you've really seen it grown. So if you look at the N. B. A. I've been with the Bulls for five years. If you look at the N. B. A. 78 years ago, there was a handful of Business analytics teams and those those teams had one or two people at him. Now every single team in the NBA has some sort of business analytics team, and the average staff is seven. So my staff is six full time folks pushed myself, so we'll write it right at the average. And I think what you've seen is everything has become more complex in sports. Right? If you look at ticketing, you've got all the secondary markets. You have all this data flowing in, and they need someone to make sense of all that data. If you look at sponsorship sponsorship, his transition from selling a sign that sits on the side of the court for these truly integrated partnerships, where our partners are coming to us and saying, What do we get out of? This was our return. And so you're seeing a lot more part lot more collaboration between analytics and sponsorship to go back to those partners and say, Hey, here's what we delivered And so I think you it started on the basketball side, certainly because that's that's where the, you know that is the most important piece. But it quickly followed on the business side because they saw the value that that type of thinking can bring in the business. >> So I know this is not, you know, your swim lane, but But, you know, the lore of Billy Beane and Moneyball and all that, a sort of the starting point for sports analytics. Is that Is that Is that a fair characterization? Yeah. I mean, was that Was that really the main spring? >> I think it It probably started even before that. I think if you have got to see Billy being at the M I t Sports Analytics conference and him thought he always references kind of Bill James is first, and so I think it started. Baseball was I wouldn't say the easiest place to start, But it was. It's a one versus one, right? It's pitcher versus batter. In a lot of cases, basketball is a little bit more fluid. It's a team. Sport is a little harder, but I think as technology has advanced, there's been more and more opportunities to do the analytics on the basketball side and on the business side. I think what you're seeing is this huge. What we've heard the first day and 1/2 here, this huge influx of data, not nearly to the levels of the MasterCard's and others of the world. But as more and more things moved to the mobile phone, I think you're going to see this huge influx of data on the business side, and you're going to need the same systems in the same sort of approach to tackle it. >> S O. Bill James is the ultimate sports geek, and he's responsible for all these stats that, no, none of us understand. He's why we don't pay attention to batting average anymore. Of course, I still do. So let's talk about the business side of things. If you think about the business of baseball, you know it's all about maximizing the gate. Yeah, there's there's some revenue, a lot of revenue course from TV. But it's not like football, which is dominated by the by the TV. Basketball, I think, is probably a mix right. You got 80 whatever 82 game season, so filling up the stadium is important. Obviously, N v A has done a great job of of really getting it right. Free agency is like, fascinating. Now >> it's 12 months a year >> scored way. Talk about the NBA all the time and of course, you know, people like celebrities like LeBron have certainly helped, and now a whole batch of others. But what's the money side of the n ba look like? Where's the money coming from? >> Yeah, I mean, I think you certainly have broadcast right, but in many ways, like national broadcast sort of takes care of it itself. In some ways, from the standpoint of my team, doesn't have a lot of control over national broadcast money. That's a league level thing. And so the things that we have control over the two big buckets are ticketing and sponsorship. Those those are the two big buckets of revenue that my team spends a lot of time on. Ticketing is, is one that is important from the standpoint, as you say, which is like, How do we fill the building right? We've got 41 home game, supposed three preseason games. We got 44 events a year. Our goal is to fill the building for all 44 of those events. We do a pretty good job of doing it, but that has cascading effects into other revenue streams. Right, As you think about concessions and merchandise and sponsorship, it's a lot easier to spell spot cell of sponsorship when you're building is full, then if you're building isn't full. And so our focus is on. How do we? How do we fill the building in the most efficient way possible? And as you have things like the secondary market and people have access to tickets in different ways than they did 10 to 15 years ago, I think that becomes increasingly complex. Um, but that's the fun area that's like, That's where we spend a lot of time. There's the pricing, There's inventory management. It's a lot of, you know, is you look a traditional cpg. There's there's some of those same principles being applied, which is how do you are you looking airline right there? They're selling a plane. It's an asset you have to fill. We have ah, building. That's an asset we have to fill, and how do we fill it in the most optimal way? >> So the idea of surge pricing demand supply, But so several years ago, the Red Sox went to a tiered pricing. You guys do the same If the Sox are playing Kansas City Royals tickets way cheaper than if they're playing the Yankees. You guys do a similar. So >> we do it for single game tickets. So far are season ticket holders. It's the same price for every game, but on the price for primary tickets for single games, right? So if we're playing, you know this year will be the Clippers and the Lakers. That price is going to be much more expensive, so we dynamically price on a game to game basis. But our season ticket holders pay this. >> Why don't you do it for the season ticket holders? Um, just haven't gone there yet. >> Yeah, I mean, there's some teams have, right, so there's a few different approaches you convey. Lovely price. Those tickets, I think, for for us, the there's in years past. In the last few years, in particular, there's been a couple of flagship games, and then every other game feels similar. I think this will be the first year where you have 8 to 10 teams that really have a shot at winning the title, and so I think you'll see a more balanced schedule. Um, and so we've We've talked about it a lot. We just haven't gone to that made that move yet? >> Well, a season ticket holder that shares his tickets with seven other guys with red sauce. You could buy a BMW. You share the tickets, so but But I would love it if they didn't do the tiered. Pricing is a season ticket holder, so hope you hold off a while, but I don't know. It could maximize revenues if the Red Sox that was probably not a stupid thing is they're smart people. What about the sponsorships? Is fascinating about the partners looking for our ally. How are you measuring that? You're building your forging a tighter relationship, obviously, with the sponsors in these partners. Yeah, what's that are? Why look like it's >> measured? A variety of relies, largely based on the assets that they deliver. But I think every single partner we talk to these days, I also leave the sponsorship team. So I oversee. It's It's rare in sports, but I stayed over business strategy and Alex and sponsorship team. Um, it's not my title, but in practice, that's what I do. And I think everyone we talked to wants digital right? They want we've got over 25,000,000 social media followers with the Bulls, right? We've got 19,000,000 on Facebook alone. And so sponsors see those numbers and they know that we can deliver impression. They know we can deliver engagement and they want access to those channels. And so, from a return on, I always call a return on objectives, right? Return on investment is a little bit tricky, but return on objectives is if we're trying to reel brand awareness, we're gonna go back to them and say, Here's how many people came to our arena and saw your logo and saw the feature that you had on the scoreboard. If you're on our social media channels or a website, here's the number of impressions you got. Here is the number of engagements you got. I think where we're at now is Maura's Bad Morris. Still better, right? Everyone wants the big numbers. I think where you're starting to see it move, though, is that more isn't always better. We want the right folks engaging with our brands, and that's really what we're starting to think about is if you get 10,000,000 impressions, but they're 10,000,000 impressions to the wrong group of potential customers, that's not terribly helpful. for a brand. We're trying to work with our brands to reach the right demographics that they want to reach in order to actually build that brand awareness they want to build. >> What, What? Your primary social channels. Twitter, Obviously. >> So every platform has a different purpose way. Have Facebook, Twitter, instagram, Snapchat. We're in a week. We bow in in China and you know, every platform has a different function. Twitter's obviously more real time news. Um, you know the timeline stuff, it falls off really quick. Instagram is really the artistic piece of it on, and then Facebook is a blend of both, and so that's kind of how we deploy our channels. We have a whole social team that generates content and pushes that content out. But those are the channels we use and those air incredibly valuable. Now what you're starting to see is those channels are changing very rapidly, based on their own set of algorithms, of how they deliver content of fans. And so we're having to continue to adapt to those changing environments in those social >> show impressions. In the term, impressions varies by various platforms. So so I know. I know I'm more familiar with Twitter impressions. They have the definition. It's not just somebody who might have seen it. It's somebody that they believe actually spent a few seconds looking at. They have some algorithm to figure that out. Yeah. Is that a metric that you finding your brands are are buying into, for example? >> Yeah. I mean, I think certainly there they view it's kind of the old, you know, when you bought TV ads, it's how many households. So my commercial right, it's It's a similar type of metric of how many eyeballs saw a piece of content that we put out. I think we're the metrics. More people are starting to care about his engagements, which is how many of you actually engaged with that piece of content, whether it's a like a common a share, because then that's actual. Yeah, you might have seen it for three seconds, but we know how things work. You're scrolling pretty fast, But if you actually stopped to engage it with something, that's where I think brands are starting to see value. And as we think about our content, we have ah framework that our digital team uses. But one of the pillars of that is thumb stopping. We want to create content that is some stopping that people actually engage with. And that's been a big focus of ours. Last couple years, >> I presume. Using video, huge >> video We've got a whole graphics team that does custom graphics for whether it's stats or for history, historical anniversaries. We have a hole in house production team that does higher end, and then our digital team does more kind of straight from the phone raw footage. So we're using a variety of different mediums toe reach our fans >> that What's your background? How'd you get into all of this? >> I spent seven years in consulting, so I worked for Deloitte on their strategy group out of Chicago, And I worked for CPG companies like at the intersection of Retailer and CPG. So a lot of in store promotional work helping brands think through just General Revenue management, pricing strategy, promotional strategy and, um stumbled upon greatness with the Bulls job. A friend gave me the heads up that they were looking to fill this type of role and I was able to get my resume in the mix and I was lucky enough to get get the job, and it's been when I started. We're single, single, single, so it's a team of one. Five years later, we're a team of six, and we'll probably keep growing. So it's been an exciting ride and >> your background is >> maths. That's eyes business. Undergrad. And then I got a went Indian undergrad business and then went to Kellogg. Northwestern got an MBA on strategy, so that's my background. But it's, you know, I've dabbled in sports. I worked for the Chicago 2016 Olympic bid back in the day when I was at Deloitte. Um, and so it's been It's always been a dream of mine. I just never knew how I get there like I was wanted to work in sports. They just don't know the path. And I'm lucky enough to find the path a lot earlier than I thought. >> How about this conference? I know you have been the other M I T. Event. How about this one? How we found some of the key takeaways. Think you >> think it's been great because a lot of the conferences we go to our really sports focus? So you've got the M. I T Sports Analytics conference. You have seat. You have n b a type, um, programming that they put on. But it's nice to get out of sports and sort of see how other bigger industries are thinking about some of the problems specifically around data management and the influx of data and how they're thinking about it. It's always nice to kind of elevated. Just have some room to breathe and think and meet people that are not in sports and start to build those, you know, relationships and with thought leaders and things like that. So it's been great. It's my first time here. What are probably back >> good that Well, hopefully get to see a game, even though that stocks are playing that well. Thanks so much for coming in Cuba. No problems here on your own. You have me. It was great to have you. All right. Keep right, everybody. I'll be back with our next guest with Paul Gill on day Volante here in the house. You're watching the cue from M I T CEO. I cube. Right back

Published Date : Aug 1 2019

SUMMARY :

Brought to you by Silicon Angle Media. Welcome back to M. I. T. In Cambridge, Massachusetts. So talk about Is the head of analytics for the Bulls? But on the business side, um, what we're focused on is really two things. the house is not about like you say, player performance about the business performances. always be doing the basketball stuff and the business stuff needs to get done, A. And I want to ask you a question about that. it started on the basketball side, certainly because that's that's where the, you know that is the most important So I know this is not, you know, your swim lane, but But, you know, the lore of Billy Beane I think if you have got to see Billy being at the M So let's talk about the business side of things. Talk about the NBA all the time and of course, you know, And so the things that we have control over the two big buckets are So the idea of surge pricing demand supply, But so several years ago, It's the same price for every game, Why don't you do it for the season ticket holders? I think this will be the first year where you have 8 to 10 teams that really have a shot at winning so hope you hold off a while, but I don't know. Here is the number of engagements you got. Twitter, Obviously. Um, you know the timeline stuff, it falls off really quick. Is that a metric that you finding your brands are are More people are starting to care about his engagements, which is how many of you actually engaged with that piece of content, I presume. We have a hole in house production team A friend gave me the heads up that they were looking to fill this type of role and I was able to get my resume in the But it's, you know, I've dabbled I know you have been the other M I T. Event. you know, relationships and with thought leaders and things like that. good that Well, hopefully get to see a game, even though that stocks are playing that well.

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StrongbyScience Podcast | Cory Schlesinger, Stanford | Ep. 2 - Part Two


 

>> No, that makes total sense. You've got me thinking a little bit. You see some of this right now going on general fitness and these thirty six minute classes will fit thirty six is awesome there. Big group No. One, their trainers. And they do a really good job of it. But the onset of maybe not such, um, high intensity aspects that you're doing. But you're promoting motor patterns, right? So it's not like, Okay, let's train for thirty six minutes. Generally was trained for forty five minutes. Let's train for an hour. But let's have a specific program that we're picking on to develop an athlete and push him in direction. So I mean by that is, I kind of see this in this is my attempt to digest cores. Mind not break it down and bring her with me. I thought you'd like to roost e a seven day period. And then you said in this period, I want to accomplish, you know, thiss five sets off total or five sets of ten reps and back squat and then your micro dose in mind like you, you slice it up, and so all of a sudden it doesn't become a five by ten because fifty total wrapped trying to get you won't take that ten reps here and twenty wraps here and maybe five reps here, and you put it in different ways. So if you look at it holistically, it's this very on the certainly first. See, it looks almost just organized, but looks like a lot happening at once. When you take us back, you look at a full truck, the full pies there, and so people they come and see me one of your workout So they see on Instagram that, oh, it's just Korea Doing, you know, appears to be basic patterns that kind of seem random. But really, you said, Okay, this is my goal. This is what I want from these guys and you're taking a step back. You applied it in a very strategic way. So it's not just people say, Oh, it's a fitness class. No, First off, Micro does seem just That's if I like, you know, a thirty minute workout. It's a thirty minute directed work out with the candle quantifiable goal over Baghdad, a period of time. Is that a fair assessment? I dove into the brain of Cory. No, my deal >> looked like this. Lookit. Let's look at another population. We look at prisoners when they go to the yard. How much time do they have a day? All right, >> You know what, >> Right. That's what I'm saying. Like, it's not a lot like they're locked up in a cell for the whole day. So when they go to the yard, they go ham on whatever's available, it ain't like they got this nice little hole like, Okay, we're going to do from squads. And they were gonna go to bench and they were going to Arlo, and we're going to do no. They pick something that is available and they go ham on it for an hour, and they're on really terrible food and really terrible environments, but tend to get really strong. Okay, well, that makes sense. So and you know what? They do it again the next day and the next day and the next day. So I'm not saying we're trained like prisoners, But what I'm saying is there's a reason why if I was to tell any elite level lifter, OK? All you can do today for thirty minutes is squad. What do you think's gonna happen? They're going to go heavy often. And they're going to be able to be fresh the next day to do the same thing. I mean, no one leaves a power lifting meet the next day saying, Oh, time to go train again. No, their body is trashed, right? Because of all the intensity that they didn't through multiple movements. Same idea, right? All I'm doing is isolating it. So, for instance, I'm looking for a specific response. If I want to train relative string, I want to find a movement that they can move a lot of way, obviously not through a high speed. And that's the movement we're going to do. If I want a absolute velocity, for instance, Woodchuck and Tendo terms, I want them to be very elastic. Reactive owned him to move very, very fast. Then I'm gonna pick a movement, say, like a barbell squad job. Maybe it's a credible swing. Maybe it's throws and then they're going to go ham on that. But if you just take that one isolated lift, I don't care. If you do tend doubles at it, you're not going to be that sword, especially if you've been doing this for over a year. First start the preseason. We gotta look at stress holistically. The biggest stress they have is basketball. So the last thing I'm going to do is beat them down. And here I'm just going to make sure that we'Ll stay on the cart. So you look at our total volume. It looks something like four sets of four. But by the time we're at the end of the season January, February, March, we're hitting our P R's and reason why we're hit Rp. Ours is because we've made this huge reservoir of stress that they're able tto handle. So now practises cut in half. So I have more reserves in the weight room. So that force that's afore we were hitting for those compound movements in preseason. Well, now they look like ten sets of doubles or twelve sets of singles because they have that reservoir. So now we're expressing in a controlled environment faster weights have your weights at the time of year that we're looking for those adaptations so that now we're quote unquote stronger and faster. We're trying to win the championship, not tryingto win it and the summer, which you generally see like thereby sent PR is before they go home and summer. Well, that's great. And then they go into their maintenance program for the season, which last six months. Can you maintain anything for longer than six? No, you can't, like, maybe your oil, but you've not wantto patients, you know? I'm saying so. You know, that's that's where it really came down to is I'm trying to find the best means to produce performance, >> so I'm on times Lower standard. Yeah. Please do not mind around it. So I get it correct. Nowhere earthly it's looking at How do we given work out at that? Fits? The current state needed the athlete, so Okay, there begin the year, right? Their capacity only so localize outside stressors to fit in the workout around the other twenty three hours. Right? And then you're applying a stressor that's heavy enough, but not too light. And you do it. I'm not not overly fatigued them, but at least stimulate them. So you working guide rails? Not a written in stone. A type of thing, >> right? Yeah. So yeah. Yeah. How Basically how I how I keep the best part of the best way to put it is what I've done this year that I haven't done in the past is abuse Tendo Units, I'm just That's my way of just monitoring. How about speed? Okay, Cool, because load is one thing. But once again, how do you move that load now? We're not We're not dicing up like, Oh, it's point seven. You're supposed to hit point five like up. You know, add thirty kilos or vice versa, right? Like you're not exact. But if you're within a range, it gives me a whole lot of details, all right? And then you're basically all we do from that point is record the wait, not the speed. I just keep them in a certain zone. Stay within this. You, for instance, our strength speed or a relative strength and strength. Speed movements can't go anything more than triples our speed, strength and are absolute velocity. You can't go anything over five reps. If you hit quote unquote those triples or those fives, then the next time you come in, guess what we get to upload if you're not above that was going to stick with the same load. And if you prove it within your early work sex, then we'LL have a little bit alert. But that's our way of day to day, keeping them on the road, if you will. >> No, that makes sense. Do I couldn't agree more. I see it carrying over so well. Universally way you looked at the origins of strength training and we're like Oh, came from Russia and even your ever pashanski for those people aren't nerds like myself. Russian sports science even started like appeared ization. It's kind of a made up thing, right? So one hundred percent made up haven't made up and it kind of came from the four years cycle of Russia itself. America takes that andan. What happens is you get the the non athlete world's intelligent public world. Everything is monetized, right? So it's like, Okay, we know that training really heavy every days and probably a good. So we're going to make these things called, you know, in small little workouts that might last twenty five minutes are our six minutes, you know, have a shrink it as Lois and possibly can. But no, let's make it not necessarily difficult, but challenging. Um and we make money office. We labeled something different and you see different fitness fads come off when I come and go. But a lot of because I got the capitalistic market monetization. People try to make money off of things. But that really does him from, like the athletic side. If you're thinking about Hey, I'm Cory. I'm dealing with Alex. I don't know how they're going to walk into my door today. I don't know if they're going to be high lower, you know, just normal. How can I then give myself the opportunity to provide environment where they can work successfully and and what you do, which is really cool, And I find it really inspiring kind of cheesy word. But you give a lot of ownership to all your athletes when it comes to selection of exercises and movements. And I find that to be something that we don't say. We as in the general world of anything sports, science and fitness don't always like to do. Um, and you say Okay, you know, credit. I'm wrong, Corey to I don't want take worth mountains, him incorrectly. Just so you know, here's a pattern and maybe select one of these three exercises that you feel like gets you ready. And what's so great about that? It removes the constraints of this exercise is the best. You know, this is the golden exercise and really, I mean you and I know it, but we want to feel good. We would always have a bench press when I came in town, but absolutely, it's like, Okay, let's let's really understand that it's not really a difference between Aback Squad versus upfront squad versus may be something of a trap, our poll, especially if you're using it to get the athlete ready. So talk. If you could talk a little bit about how you decide some of that and what led you down that path and giving those athletes that kind of ownership and understanding of you know, I want to do this versus I have to >> do this right? I mean, to me, autonomy is everything, because what you generally see and it's to me, it's almost criminal is everyone gets the piece of paper. They fill it out with me you get, then you do the same thing, right? You get that piece of paper the next day, fill it out. Get that piece of paper. Next thing, fill it out. And then four years later you go. Well, I'm leaving now. Where's my piece of paper For the rest of my life. Oh, so you didn't really learn how to train, did you? You didn't really learn what worked for you. You didn't really In the really issue is like I deal with crazy, different levers. I mean, I got guys that are five eight all the way to seven foot. So you can't tell me there's a golden exercise that it doesn't exist in my world. >> I >> like knowing you're on. I would love to have everybody do the exact same thing. They love doing it. And they all do it very, very well so that I can have my little lab and I can have my control and I can show. Hey, guys, look how much better we got this year because of my implementation. Bax Wass What? What does that say? That says that I care more about what I'm doing more than what's best for that athlete and what they're doing if you really the real reason why I got to this autonomy stage is when I realized what I do is such a small percentage of their overall success and the reason why I say that I'm not necessarily saying I agree with hit or disagree with Hit, but you could have a hit program. You could have an Olympic based program. You could have your holistic based program, whatever you want to say, and I see the hit program Win a national championship and I'm like, what happened? Like I don't agree with that program, but they won well, it's all about it's all about the dude's. So if I can give quote unquote my dudes the best training environment that works for them. So what I mean by that is Look, here's a squad. You hate doing back squats because the bar on your back, it's jerking the hell out of your shoulders because you don't like to be an external rotation will. Then maybe I'm just going to hate. How about this Bar safety squad bar that feel better? Cool court. My knees are super tender away. It's basketball. Everybody's needs at some point this season, every a super tender last thing I'm going to do is put them in an environment. Teo, flame up those tendons so that they can't perform at a higher level on the basketball court. So what are we going to do? Well, let's Hinch, how about we just do some already? L stay. How about we do some kettle bell swings? Maybe some tribe are dead. Lift. It doesn't necessarily have to be this golden exercise that everybody fits in. And I think really what it stands from is that strength coaches got approved to their sport coaches that we'll look at, our numbers go up and they have to have a control to do that. And the exact opposite. It's a sport. Coaches coming down saying one of our guys bench. Well, if our sport coaches cares so much about bench press, well, then what do you think I got to do? Well, I gotta bench my guys so we could get those numbers so I could look like, you know, I'm validated my job. Well, how about we take something that's oh, universally accepted. So how about a counter movement? Jump out force plate. Now, I'm not saying everybody has forced plates, but you could just use jump height. Friend sits. Who cares how you got there? As long as you are trending right, that's all that matters. Why should we be fixated to a certain methodology or a certain pattern or not? Pattern but exercise. Just give them a pattern, let him choose. And to be honest with you, if it feels right, it's going to fly, right? If it feels good to do attract bar squat, opposed to doing a front squat well, they're probably gonna put more load and they put more load that I'm going to get the stress response adaptation. If I don't like the front squat because it's choking me the hell out. Well, then I'm probably not going to put his much load on it. Now, I have a negative connotation now have all these internal stress is going on, and then I'm gonna have a weird as look atyou, saying I don't like what we're doing in here. So now you think the quote unquote Byeon is going to be there. So now we're not getting any stresses that are going to give me that positive adaptation I'm looking for. So at the end of the day, if I can give them the education tto, learn how to do these movements and how to choose for themselves, well, then now it's not just what they did here for four years. I just gave them skills for the rest of their life. And if they're good enough to play pros now, they can take that and they can articulate it to the next coaching stuff so they could do a better >> job. No, that's that's awesome, man like this. A lot of things I want. I head into their I'LL keep it all Diamond all nine hundred promised. But I couldn't agree more and one of things that you say, you know, let's have a king P I They said jump high, for example, a point of reference. Then let's not care what we d'Oh, to the extent I mean not care. But let's not constrain ourselves of what we dio in order to improve that k p I. So the way I think about it, it's kind of like you ever use waze before that? Yes, that we got right. It knows to things and knows where you are. It knows where you were. If you're driving, it knows where you're going. Road. And then as okay, all I care about getting to point B So it will take you on detours left and right. Little Granny is driving slow in front of you for the pothole. If whatever is going to find the best way to get there, it doesn't care how it gets there, right, Right. And so work that it's say, OK, let's get the sevens environment where we can learn. And we know we need to get to be for me. And I'm not gonna say to go in a straight line because you might go through building and crashing hit pedestrians. We're gonna find a way to get to be. We're going to find a way that makes sense for the athlete and yourself. So my teaching them, you know, let's have you like and learn to do some of these movements then don't know taking a left at this next stop light to get to point B will be quicker than you saying go straight because they're the one in the driver's seat, right? And if that educational environment where you start to look at this a really complex system, her planting a really simple abie model and apply it to something as complex as the human body so that we can learn. And the example I give. It's like, you know, the ways part like, that's the more complex and assumptions we make more room for aeri half All right, we'Ll screw this. We assume that the sumo gets here. Well, if we assume in order to get to A to B, we got a one a two a three a four, a five. But any point on the line that, you know, assumption breaks, we don't get to be all right, you guys, you stuck at a whatever and doing. You know, we have to follow this waterfall method. It's very much a living method where things come in, things come out, things make you change. But you know what? You want to go? I >> mean, it's we work in team sports. Like the only objective we are the only objective that matters is wins and losses, period. Right? So if I wasn't a stopwatch sport, maybe my mind would change a little bit, right? Maybe I got okay. We need to drift towards this because literally it's did you get faster? Did you not get faster? Right? Swimming whatever you're doing, maybe these are the things we need to do more often to make that happen. But I'm dealing with incompetent. I mean great human beings, but just physically incompetent. There's still learning about their bodies were still growing into their bodies. I think it's the most arrogance thing that a strength coach could do is to say, Here's a program that's gonna get you better for six weeks. What? What is that? Even here's a block that's going to get youto point me. How do you know Like, till you know Saddamist like, can you honestly tell me that following this six week plan is doing that? Hey, they got sport practice. They got exams, they got pick up your tell me none of those factors could potentially there off your little plan or that your little plan can go up. They're KP eyes, if you will, or their Their goal is just a play basketball. So that to me, that's where as this thing, it's like the most arrogant thing in our field and it just drives me up the wall. But the other day, like I got a sport coach who has all the faith in the world of me gives me the keys to the castle. He just tells me, Do what you think is best. I I report the numbers that he doesn't even know he needs. That's what's awesome about he's like Chord. I just trust you like these were things that I want to see my guys do. We want a quote unquote play fast. Well, okay, here's some standards that we can set And these Airways that we know we got quote unquote faster. Now, from the technical tactical aspect, that's where you guys come in and you guys got it. Apply what you think is best to make that happen, right? But I gave you the physical requirements. I told you exactly what you need to get done and how we got there. Now you guys apply the technical tactical aspect. And then there we go. Now we have a happy marriage is long as I can supply valuable information. It doesn't matter what the information ISS, and that's where everybody gets stuck on these controlled environment numbers like like looking, swatting inventions like Who cares? Like Who cares about written load? Load gets you to here right after that, it's all about It's all about speed. It's all about rhythm coordination, your vestibular system that there's so many things that go into making. You better not just, uh, put three fifteen on the back squat suite. No, >> that's you know. Yes, yes, I agree. I'm not going to deviate too far. My ma, you know how I work or my mind races and I don't go in straight lines. I apologized immediately. Good. I was thinking about your friend mentioned earlier. It was everything that this lately, too. People who've been the private sector's I work in personal training, and I worked in exercise clinic for two and a half years. Iowa State, where don't older adults randall off cool testing on them. But ultimately they showed up because they enjoy it. And one things that I think we I don't mean We have everybody some people forget is that it needs to be enjoyable back. And when you're in a private sector and you're literally your food is the ability for something to come back to you. Hey, it's really different and you start. You said Okay, you know what exercise and movement do you like, and then you manipulate How do I make that exercise the most effective exercise for that person? And that's what you kind of mentioned with the educational process for your athletes. You're taking this approach. Where? How did you get them to win? Firstly, they gotta want to be here, but they don't want to be who I try hard. And secondly, no Adam, take ownership of these movements. I really like that concept because it's really melting in the world of Hey, you're here. You have to get better. But everyone knows when you want to get better. Vs have to get better, right? The be out a little different and unusual marks Lefton excited to move. I just keep thinking about that from like the private side. That's really where, like the general public, and you could deal with great Alan to deal with a lot of athletes who really want to be there. But unfortunately, majority the world doesn't want to work out like they're they're not interested, and I hate to make an assumption, but it's hard not to think that it's either them not knowing or them intimidated that have to do something in there, right? Right. I'm like that mindset a beam to apply. Okay, let's have an ownership model that drives it, because if you talk to people, her successful personal trainers, they have a way to make sure people come back. Oh, for should join a box in a way that a strength coach you're no environment might not even have to be exposed to just because it's the nature of >> well, for me, like the off season. I mean, when I get a freshman, that's a great thing about basketball. But I get a freshman. I mean, maybe they picked up some weights like a B. There's still just such a greenhorn in the weight room. They don't know what's good and what's bad, right? So, essentially the off season is a little bit of dictatorship like Sorry, I'm to tell you what to do because you don't know shit, right? But the goal is to earn that autonomy as well. So, you know, my guys that are kind of like slaps like for the whole offseason. Well, their leashes a lot tighter like Nah, bro, you're going to do this because I know you need to do this. You have earned the right to have that a top. So I want to make sure that that's, like pretty clear, too, because if you just give autonomy all day and there's going to run over you. But the one aspect that I think that is so important with our autonomy is it's my biggest performance enhancer, and I actually had dated Approve it. Like if I just look at my C M J members from our force plates once again. Yes, there are some maybe eight sets of doubles or six sets of triples or whatever, right? But once again, that is Tendo based, like to a certain agree with most of our movement. So you know, it could be a triple. It could be a double. It could be a single. It depends on where they fall in on along those lines, but essentially the flexibility of the sets and wraps, the unbelievable latitude of the movement pattern that they're doing. But yet counter movement jumps in February. They are p r ng, not season. P R's. I'm talking life top ers Guys that have been here for three years are hidden from nineteen point one to twenty six point four. I can't say names the twenty six point four in February. So what does that say? It says that my biggest performance enhancer is the kids saying I want to do that. Cool. That's what we're going to do. >> No, I love it that zik perfect. If you want to be there, you're intense. Going to be high. You're going to try harder. You're going toe actually care about what you d'oh and that mindset really house dr an aspect of performance that otherwise we can't because all internal right korea we really started wrapping up towards the end you buy a couple questions for you before you go yourself thank you i appreciate it it's always good to have you next way clich a weekly cycle korea >> will make a >> record you know fire i slowly thanks for having you guys we wanted to come with because you're a scientist I mean, if you had to share a bitter fight and this is to anybody and this isn't their coach, Jenny, where nobody is looking to enhance their fitness, their performance, um, their overall well being You that with activity, right? How is what would you advise someone to get into and regards Tio training our house to someone Initiate That's on top of the micro dose in a kind of giving that much of credit here, obviously some e How does someone injured? I heard it put that way and I'll get straight to the point that one look into into exercise probably should do some form of micro dose in to see if you even like it everyone to overdose. How do they start that process if they're not athletes per se how they decide where they began? >> Well, essentially is what do you want to end up like, What's the what's the point beyond ways, right? Do you just want to look aesthetically better? How aesthetically do you want to look? Do you wanna look like a big body voter? Do you want to look like a swimmer? What do you want to look like? And I think that the vein than fan ity. And I mean, that's what drives my basketball players there in tank tops here around. Of course, they want nice arms. Right? So there's certain things that you gotta know. Like, I want to look like this. Now, some of the performance guys, Maybe I wantto sprint faster or jump higher. Like that's a whole another aspect. But we're talking about general population number one. What do you wanna look like? Okay, so if I'm three hundred pounds and I want to lose some body fat for my own general health and I want to, you know, be more presentable, if you will. And smaller clothing. Well, then maybe just walking ten minutes every day, and then you start adding layers to it, So Okay, You know what I mean? Killing these walks. How about we go Stairmaster? Okay, that's a little tougher. Okay, how about we introduce maybe some med ball exercises because that's not necessarily too complex to do that. I can do it through different ranges. It's easy to manipulate. Okay, Now, let's take a dumb bill or kettle bill. Then we work our way to a bar bill and now. Oh, man, what do you know? I just dropped one hundred pounds and in them. Oh, before all of that eating. But like, we're just talking about the physical aspects, but as far as that, where do you want to be? Okay, I want to look like Brad Pitt. OK, for one, get plastic surgery. But if you want to look cool air at Brad Pitt and Fight Club Okay, well, these are the things that I need to do. So let's reverse into near the process, okay? He cut his little jack, so that means he's got muscular strength. OK, cool. So that means weights are going to get involved at some point we'll he got really lean for this too. So my general fitness sucks. Maybe I just need to start with walking. Maybe a jump rope, maybe just medicine Ball toss is something that's super easy. The number one. What's going to make me more consistent? What consistency is goingto win? It's not. They'll work out you do that's going to make you go from a counter movement jumped a nineteen point one to twenty six point for It's the consistency that got you there. All right. That was a two year process for that kid. Just to get to that point, right? If you try to hijack the system, if you try to go, I want to get from point A to point Z like that. Well, you're going to run into multiple things. One possibly injury and two. What's the real reason why you're Russian? The real reason why you Russians, Because I don't want to be there in first place. Now you've just ruined the whole concept. Now you've just ruined the journey. To me, that is much more important. Like when I used to be a fake body motor, if you will, that when I try to get ready for shows. I don't remember the show at all. The only thing I remembered was those nights where I was damn hungry those mornings where I had to get up, do my quote unquote fasted cardio meal prep backs without remember only big. How I was on stage for forty five seconds like that was twelve weeks for forty five seconds. Right? So that's where you gotta understand like it's the beauty or what is it that Jake whole line of the beauty is in the is in the cash. Basically what? The thing that you want to fall in love with the most is the adversity that they were going to fall in love with the most is the stressful points. That's what's going to create the beauty, if you will remember that Jake Colon. But essentially, that Google >> search really quick pressure that the Brad Pitt Fight Club I >> mean, that dude was solid, Man, that was a solid right. May like Brad Pitt. He was a pretty boy until fight club. And I was like, Yo, that is some white trash. I would not mess with him. He can go. >> Uh, great. I love it. Lastly, Yeah. Course lesson. Where do we find you? On social media and other venues? Assault media were coming here more than beauty and wonder himself. >> Yeah. So Instagram is probably what you can find me on the most slash strength as C h L E s strength. You could find me there pretty active on it. You want to see so naked cats? So to sphinx, with my beautiful wife and ah, multiple podcast. I'm on a lot of different podcast that you just Google. I, too, are goingto iTunes type in my name. You'LL find many other platforms where I go into a lot more depth about how we train on And then, of course, speaking engagements. I do multiple speaking, engage with the nationally and internationally. And so there's opportunities to meet me in person there. >> There's beauty in the struggle. >> There is beauty in the struggle. This beauty >> I got my end. >> Yes, there is beauty in the struggle. That's when they >> get here in Britain, right? Right there. Where >> you Brooks. But there's beauty in the struggle >> A lasting well, Korea appreciate you have coming on here. I mean, I hope something useful. I >> was one hundred percent. My pleasure, Max. I love working with you, man. >> Now you do. And anybody curious about Corey? I mean, I really encourage checking out his social media. Yeah, I know. It's a lot of crazy stuff on Instagram that is really thought provoking. Put it that way and I can't believe it. Oh, my goodness. I can't let you escape Korea quite yet. >> Well, what you got? >> Uh, whole off the exit. Give me five minutes on it. I was going to ask his social media is going to ask. Yeah, way rehab itself. Yeah, to spring loaded monster man who means you want to share a little bit on this because I know you have been doing this yourself. Yeah, this is it in chorus singer based Achilles program. I love some of the actors. I love thee, not the unloaded foot contact under your hand motion who was seen Alice into this isn't the course in a chair, and he's for lack of better words. Words. MacInnis foot on the floor like a pogo stick and doing extremely extremely unloaded movements early on that site, too early on but in the rehab process itself to introduce low level plyometrics, He's doing band assisted jumps. He's doing isometrics. He's doing heavy squads. He's doing some bar bell curls. All things important for the curies. >> Sure are. Absolutely yeah beyond you. My understandings of the lower leg complex is off the charts because of my injury. So for the viewer's eye, tor macula or a ruptured my Achilles tendon with a full rupture but right at the insertion, which is the very atypical tear because I've been dealing teno sis for over a year before I tore it. So they had it cut me up top to bring me down low, if you will. So usually Achilles ruptures that all they do is bring it together and then tie it. There are. So it through the mind was at the very bottom. So essentially, they had to cut me up top toh length and me and then, uh, suitors through. So is very atypical, which sucks only that that part sucks. Spike. Um, it's not that I am Well, maybe a little bit arrogant, but I honestly want to take full control of my physical therapy because I think that intuitively I understand the process not just of rehab, but of how to increase performance. So all I did was watered down as much of that is possible and truly started as soon as I got to the pain free. And so, yeah, with all the unloaded stuff, it just made sense to me like that's something you just don't see in physical therapy to It's kind of blows. My mind is what's the first thing to go like when you get older? What happens? Will you lose your ability to do very forceful things or to lose power or the ability to generate power. So that's the first thing that came in my mind when I rupture. Or when a Torme Achilles was okay. I need to go back and not be old because essentially, I'm staying still. So if I'm staying still, it's like use it or lose it protocol. So from that perspective, I told myself, I need to move fast at some point. So I started with all my available limbs at the time, just moving fast. Then I progress toe when my suitors seal or excuse me with my I want my wound healed. I got into the pool, so that's the most is about is unloaded. You should get, and all it did was just frail. My leg and there a cz muchas I could through different planes and of course, he has fold up. But of course, it's going to like your adding a stress. And so I just did it Mohr or Mohr. And so I just Kim. Training fast, even though, is the most unloaded way you can do it. And then, like Max was talking about, I got to a seated position and I just started doing be most unloaded pogo jumps you've ever seen or ankle pops or whatever you want to call it. So then I transition to standing on it isometrics, then putting more force into the forefoot isometrics. And then I started using the bands I mean super heavy bands and then just started like Pogo's and then start lighting the bands I went to arm went the body weight. To me, it's like super common sense, but I don't know, maybe the physical world. It doesn't really look at it that way. They look at it and isolation opposed to global. So to me, I knew if I could quickly get back to global patterns that I will be able to promote healing faster. And so, like Chase talked about, his last one ought to be a far protocols. Luckily, I had him as a resource to help me with my healing process, but right now, on that four and a half months, almost five months, and I'm doing some pretty cool things if just to give you a point of reference. Dez Bryant, wide receiver. He tore his a week after mine, and essentially, you guys Essentially, he's What's a similar athletes level athlete? You know, very someone. Uh, actually, he's going to be up until eight to nine months. John Wall tour has a few months after mine. He's going to be an entire year for his process. Boog, Golden State warriors took him a whole year to get back on my goal. If I can get it back and lesson seven months, that means I did something, right? >> No, I love it. Well, that's tough stuff. Get to see if you check out his instagram page. So me, please, dear, do yourself a service. Go check out the man. He's a good dude, Tio. So sometimes no kid. Don't >> you know you're right there, e >> I don't want call corps on a bad day. >> You >> know, it's all good now. I really appreciate it, man. Thanks for being on here. And, uh, again we follow sometime in near future. I feel I'm expecting that shirt. By the way, where is my core bighead T shirt? >> You know, I want to find one of my earlier body building picks, and I'm gonna put it on a T shirts and, Tio, >> I love it. How I rocked the hell out of it. Man, >> you're beard in a most >> and be right here. Yes, right behind. Maybe my postal records slash proposing bronze and gold. You're welcome. You're welcome. An absolutely huge in that >> purple banana hammock to >> Wouldn't ask for another way. What? The full real deal. Korean stage. Ready, you know. Awesome. Well armed man up that thing. You guys, Listen, I appreciate it. Great South Korea on. If we're curious about finding more, check him out on instagram and look for Teo. No doing more. These in near future. >> Awesome. Thanks, Max.

Published Date : Mar 20 2019

SUMMARY :

And then you said in this period, I want to accomplish, you know, thiss We look at prisoners when they go to the yard. So the last thing I'm going to do is beat them down. So you working guide rails? And if you prove it within your early work sex, then we'LL have a little bit alert. And I find that to I mean, I got guys that are five eight all the way to seven foot. that athlete and what they're doing if you really the real reason why I got to this And I'm not gonna say to go in a straight line because you might go through building and crashing hit pedestrians. But I gave you the physical requirements. Okay, let's have an ownership model that drives it, because if you talk to people, I'm to tell you what to do because you don't know shit, right? appreciate it it's always good to have you next way probably should do some form of micro dose in to see if you even like it everyone to overdose. that's going to make you go from a counter movement jumped a nineteen point one to twenty six point for It's the And I was like, Yo, that is some white trash. I love it. I'm on a lot of different podcast that you just Google. There is beauty in the struggle. That's when they get here in Britain, right? you Brooks. A lasting well, Korea appreciate you have coming on here. I love working with you, man. I can't let you escape Korea quite yet. means you want to share a little bit on this because I know you have been doing this yourself. cool things if just to give you a point of reference. Get to see if you check out his instagram page. I feel I'm expecting that shirt. How I rocked the hell out of it. An absolutely huge in that Ready, you know.

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Jennifer Tejada, PagerDuty | PagerDuty Summit 2018


 

>> From Union Square in downtown San Francisco, it's theCUBE covering PagerDuty Summit '18. Now, here's Jeff Frick. >> Hey, welcome back, everybody, Jeff Frick here with theCUBE. We're at PagerDuty Summit at the Westin St. Francis in Union Square, San Francisco. About a thousand people getting together talking about the evolution of PagerDuty. We're really excited to have Jennifer Tejada here, the CEO just coming off a terrific keynote. And I got to say congratulations on your recent round of funding that made all the news a week ago. It's great to see you. >> Thank you very much. It's great to see you again as always, Jeff. We love having theCUBE with us at Summit. >> Thank you, and I have to say we do hundreds of events over six years I've been doing this. I've never seen a summit picture in the keynote until the Summit. So, you got it worked in twice. I love the message really about taking the team to the top of the mountain, that moment of truth, and then you got to just go for it. You got to be prepared, you got to have the team, and at some point in time, you just got to go. >> Point 'em down. >> Yeah, so let's jump into it. So, big topic, here before it's been kind of DevOps, but you guys are moving beyond that. You're kind of taking this classic play, start as an application, move into a platform space. And you guys now with all these integration announcements, the announcements of BI, the growth obviously, the support from the funding that you just got shows that you guys are well on your way to take what was a pretty special purpose application and take it into a platform play that crosses a whole bunch of other applications. >> Yeah, I'd take it even one step further, we almost started out more like a consumer app. It was really an application built for engineers to make better use of their time on call. And frankly, not being woken up when they didn't need to be, right? >> Right. >> And so, everything about our first product was designed around what does a developer need, what does an Ops person need, what does that look like, et cetera? As opposed to being designed for the CIO, or the CTO, or the company. >> Right, right. >> Right. And I think that that user centricity, that user ethos has served us really well, because we start there. That's our starting point. Who's the community that is using our products and services? How is their role changing? How is their world changing? And what do they need from us? And that was really the foundation of the trust that we built to start to become truly an ecosystem. Because all those users started pushing their data to us. Their monitoring data from their APM environments, or the data from their ticketing platforms, or the data from their cloud services. And with that information comes the power to be able to really create context. >> Right, right. >> And now, with the aggregation of nearly 10 years of data coming from our responders, and how they behave when they're under pressure of the workflows, which ones work better, which ones don't work so well. And the events, the signals that all of technology and the internet of things throws off in realtime all the time. You bring that data together and apply machine learning and artificial intelligence to it, and we really are putting ourselves in a position not only to be the platform that serves a realtime business, and orchestrates teams as sort of the platform for action, but importantly, becomes the trusted engagement for automation or engagement of autonomy. >> Right. >> For a fast-moving business in the future. >> Right, 'cause you talked about realtime and I just want to throw a couple of numbers out that you had from the keynote. 3.6 billion events, so it becomes apparent really fast-- >> So far this year. >> Right, even the people who are at the center of that, that's kind of hard to manage. So, you have to start using intelligence. You have to start to use business intelligence and artificial intelligence to help filter and help that person do their job much better. So, you guys are making a lot of plays there. And we see it all the time. It's not the BI vendors per se, it's the use of this technology in the background to make apps work better. >> And it's the fact that not only do we correlate the signals and turn them into intelligent insights, but we can then route those signals intelligently to the right people, and orchestrate the actual physical work. So, a lot of the technology community has been focused on just that, technology. And our focus is really on people and teams. How do you empower teams closest to the action, closest to where the proverbial stuff hits the fan. >> Right, right. >> I had to really exercise restraint there. To be in a position to make the best possible decision in those tiny micro-moments that matter. And the consumer, like used to wait maybe six minutes for a website to download. Now, if an app doesn't work perfectly in six seconds, maybe three seconds, you're gone. I walk out of the building in our office in San Francisco, and see our employees and they're toggling back and forth between ride sharing apps and food delivery apps, and Tinder, and whatever else is going on. And it's literally like in a couple of minutes, they're working through eight, nine applications at once. And if any one of those does not work the way it's supposed to, they're done. >> Right, right. >> They just move on. And it's one or two times before they'll delete that. >> Right. >> So, the technology community is now responsible for delivering the perfect brand experience digitally every time. And they've got to be empowered to do that with the right tools and services. >> And the expectation is set by the best. That's the funny thing, right? What was the best or cutting edge quickly becomes the expected norm. >> What is the most delightful thing that ever happened to me, well, that's what I want from you. >> Right. >> That is basically the way it works. >> Right, right. And you talked about trust, and trust is such an important part because one of the key pieces that you guys are enabling, you talked about it in your keynote, is letting the person at the front line in that moment of decision have the tools, and the data, and the authority to make the right call. And it's not a escalation up the food chain, waits, and some emails. It's really empowering that individual to get the right thing done. >> And that's a core tenet of DevOps culture. It's actually born and agile, in fact. But what's really interesting about it is it's the way companies need to be run now. If PagerDuty waited for me to make every big decision, we would be back where we were three years ago. >> Right. >> Right. And as a result of being able to empower our teams with great information, very clear understanding of our goals, and the timeframes we expect to achieve those goals, and then context as we progress through our journey to understand how we're doing against those goals, it gives them the power and the intelligence to make better decisions every moment when I obviously can't be there, or their leadership can't be there. And in fact, it means that the most important decisions are getting made where the person's closest to our end customer, the user. >> Right. >> And that makes a ton of sense to me. Even if it's not the way I was taught leadership, or taught to manage. >> Right, well, you clearly get out front and run those people down that big, giant mountain. >> Well, I just, you know-- >> Every time we meet-- >> I got to figure it out, man. >> I learned about Australia last time I saw you speak at the Girls in Tech thing. So, this is great. Another thing that you acknowledge in your keynote I want to get into is that tech people are imperfect. They are imperfect and that's kind of part of what the DevOps ethos is is that that's okay, we're just going to make it better today than it was yesterday. And I think Ray Kurzweil's keynote about exponential growth and just the power of compounding, which so many people miss out on. So, that's really where you're trying to help people solve problems. It isn't to big eureka moment, it's how do we learn, how do we get better, how do we make improvements? >> Well, and a lot of people in the valley talk about failing fast. In order for failing fast to have a benefit for a company, you not only have to be allowed to fail, it has to be okay when you fail, and there has to be an open transparent conversation about what you learned, what went wrong? And that has to be a blameless, high-empathy discussion or it doesn't work. If someone thinks they're going to get fired by marching you through all the details of their failure, they're never going to tell you the truth. So, when we think about incidents as they come up, or something breaking, not working the way it's supposed to, or a business initiative not turning out the way we thought it would, there has to be a blameless conversation so that everybody in that community learns, so we're better the next time around. And that's where the compounding benefits come. >> Right, right, to the whole team, in fact. I thought the quote, I've never seen that quote that you brought up today. Teamwork remains the ultimate competitive advantage because it's both so powerful and so rare. That is a really scary statement, but we see it all the time. In fact, that was in another keynote and there was a behaviorist talking about, how do we get everybody pulling in the same direction? And John also talked about that in terms of incident post-mortems and how do you make sure that you're learning and not just filing reports. >> Totally. >> So, you guys are right in the middle of that. >> I thought John captured it really well when he said, "It's not about the technology. "We spend all of our time monitoring "and talking about the technology. "It's about us. "And it's us that actually makes this technology great "and applies it so effectively to problems, "and challenges, and opportunities "in our world and in our lives." what's also interesting is Patrick Lencioni's paradigm around the first team. So, most employees come into a business and they think the most important world for me in this company is my team, the people in the team who I report to, a leader, and it's just us. Or for leaders, they say it's just the team that reports into me. Your first team is your peer group. Your first team is that, and by first team I mean the most important, highest priority, aligned organism that is going to drive massive change in a business, it's your peer group. It's the people who work across functions to help reduce friction in a business. >> And drive fast outcomes and great results, right? But most people naturally kind of hunker down into their core team and that's the beginning of the silo mentality. >> Right. >> Right. And so, one of the things I love about Patrick's book, and you're going to hear about that tomorrow onstage, is this idea of what it takes to be an ideal team player, to be humble, to be hungry like good is never good enough, and to be smart, to like constantly be learning, to really care deeply about how you continue to push the envelope to get better. >> Right. So, I want to switch gears a little bit from the people in the individual teams to the ecosystem. You had the ton of partners here at the show, and you talked about in the keynote, 300 integrations. >> Yeah. >> And I think some people might be confused, right? Because it's always this wrestle for whose screen am I working on when I'm doing my daily job? But as you said, we're in a lot of different screens, right? And I'm going back from Salesforce. I'm in my G Suite. Maybe I'm jumpin' into Hootsuite for some social stuff. You guys have basically embraced the ecosystem for all these different types of systems, and really kind of plugged into that. I wonder if you can explain a little bit more. 'Cause I'm sure most people might be confused by that. >> You know, I sort of think of us in the same way I would think of like the brain of an Olympic athlete. That athlete, their arms, their legs, their muscles, their pulmonary capability, like the respiratory system is all super important to their performance. But the brain has to accept the signals from all the different parts of the body, and then work through them, correlate them, and then drive action, right? And I sort of think of PagerDuty as sitting at the center of this rapidly changing technology ecosystem, this live organism, and really understanding the signals no matter what, is it raining, is there a pothole in the ground, et cetera? And be able then to drive change in the process on the fly to help the body perform more effectively. The challenge is like if you try and fight with the arms, and the legs, and every other part of the body, they don't work nicely with you. >> Right. >> So, being central to the ecosystem is about being neutral, and agnostic, and really demonstrating you will not only say you will partner, but investing in those partnerships. So, we built first class integrations to companies that may see us as competition, if that's what our customers need. >> Right, 'cause like you said, it's got to be customer-- >> Totally. >> Customer centric first. >> And it's an open ecosystem, and this is what developers, and employees, and tech workers expect. >> Right, and to your point, the amount of data that's flowin' through that nervous system is only getting more. And the amount of noise to get through to the signal-- >> Figure out-- >> To take the right action. >> What really is important. >> Is not getting any easier, right? >> Yeah. >> All right, Jennifer, well thanks again for havin' us. Congratulations on the funding and the great show, and it's always great to catch up. >> Thank you, I have the best job in the world. I feel very lucky. >> All right. >> It's great to see you, Jeff. >> Thank you, all right, she's Jennifer Tejada, I'm Jeff Frick, you're watchin' theCUBE. We're at PagerDuty Summit where they actually show summits on the keynotes screen. Thanks for watchin', we'll see you next time. (bouncy electronic music)

Published Date : Sep 11 2018

SUMMARY :

From Union Square in downtown San Francisco, And I got to say congratulations It's great to see you again as always, Jeff. You got to be prepared, you got to have the team, the support from the funding that you just got shows to make better use of their time on call. or the CTO, or the company. or the data from their ticketing platforms, And the events, the signals that all of numbers out that you had from the keynote. in the background to make apps work better. And it's the fact that not only do we correlate And the consumer, like used to wait maybe six minutes And it's one or two times before they'll delete that. And they've got to be empowered to do that And the expectation is set by the best. that ever happened to me, well, and the authority to make the right call. it's the way companies need to be run now. And in fact, it means that the most important decisions Even if it's not the way I was taught leadership, Right, well, you clearly get out front It isn't to big eureka moment, it's how do we learn, And that has to be a blameless, high-empathy discussion Right, right, to the whole team, in fact. aligned organism that is going to drive massive change and that's the beginning of the silo mentality. and to be smart, to like constantly be learning, in the individual teams to the ecosystem. You guys have basically embraced the ecosystem But the brain has to accept the signals So, being central to the ecosystem is about being neutral, And it's an open ecosystem, and this is what developers, And the amount of noise to get through and it's always great to catch up. I feel very lucky. on the keynotes screen.

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Devin Cleary, PTC | PTC LiveWorx 2018


 

>> (Announcer) From Boston, Massachusetts, it's the Cube! Covering LiveWorx 18. Brought to you by PTC. >> Welcome back to the Seaport in Boston, everybody. This is day one of the LiveWorx show, PTC's big IoT user conference, but it's much, much more than that. My name's Dave Vellante, Stu Miniman. You're watching the Cube, the leader in LiveTech coverage. It's really our pleasure to have Devin Cleary here, he's the Director of Events at PTC. Dev, thanks so much for coming on The Cube, and thanks for putting together such a great show. >> Oh, thank you so much for having me. This is great. >> You're welcome. So, I say it's a user conference, but it's so much more. I mean, talk about what your intent was and what you've created, you and your team at LiveWorx. >> Absolutely. So for us, we take a step back in corporate events. And we're really trying to bring sort of a unique flair to the corporate events world. In a nutshell, we at PTC have a 25 year legacy of doing really powerful user events, and it was really an inspiration two years ago to kind of shake the mold. And again, no pun intended, be disruptive in the marketplace. So for us, we sort of coined a new term or strategy that we call Industry Inclusiveness. And this is something where we wanted to sort of break down the four walls of the company, and invite industry influencers, individuals who are leading the charge, inclusive of actual competitors, 'cause for us, it's better together. And the whole story and talk track around LiveWorx is collaboration accelerates innovation. So for us, we want to make sure we embrace a lot of different people, walks of life, and diversity, and the intent is to create a one time a week a year, successful program that focuses and profiles nine of the most disruptive technologies on the planet. So this is everything from robotics to AI, to IoT, to AR, blockchain, and so much more. And for us, this is really the essence of what LiveWorx has become, which again for us, we want everyone to know that this event is sort of the world's most respected digital transformation conference. >> So, couple things I want to point out. Well, so over 6,000 people here, the kickoff was in the theater-in-the-round I've only seen that-- We do over a hundred events every year, I've only seen it done twice, and it's worked both times. I think it's a home run when you do the theater-in-the-round. The intro was like, I tweeted out this morning, it was like an Olympic opening ceremony. I mean really, where do you get your inspiration from that? >> So, you know what, for us, I have a really amazing team that works with me and collaboratively. And for us, we really want to sort of challenge the status quo. So, we always look for things actually outside of the tech bubble, if you will. We look at music. We look at fashion. We look at art. We look at a lot of pop culture sort of references and that sort of stems our ideas of how we sort of nurture and create what we call the apex, or LiveWorx or what you saw this morning. And for us, I'm all about what I call delight moments. So these are moments that frankly are sort of above and beyond the core content of what the conference offers and just making people have a great time. Showmanship and entertainment is just as much important as the core again content that we offer at LiveWorx. >> Dev, you've got a big tent here with a lot of different topics. There's a show I go to, we talk about the random collision of unusual suspects, which this reminded me of. Can you talk a little bit about how in these diverse communities, yet we should see some overlap and some bumping together. >> Yeah. Absolutely. So, again with LiveWorx, and sort of again profiling these nine to ten most disruptive technologies out there, we're always trying to recruit people that are very diverse from various backgrounds. You know, one specific goal that we have, just from a geographic persepective is making sure that over half our audience is from international markets outside of the United States. So again, when you're bumping shoulders or walking the halls everywhere around us, you're guaranteed to hear someone that comes from a different walk of life, a different experience, a different educational background and that adds a lot of value to the overall conference. Now, again, we target everyone from administrators to engineers, developers and more because really this show runs the gamut on everything from product design and sort of the ideas of what you want to do, all the way through service, manufacturing, it is the full scope of industry 4.0. So, to your point, there's a lot of intersection and a lot of overlapping because every company, every person, every individual, wants to experience and learn how to embrace what we call disruptive tech. >> You know, again, we do a lot of shows and the vast majority, when someone like you guys brings us to a show, they want to showcase their products and basically pimp up their own stuff. You chose a different approach. First of all, thank you for that. So, this today has been all about thought leadership. Stu and I were saying it reminds us of some of the stuff we do with MIT. Where you have professors, you have thought leaders, talking about not, kind of frankly, some boring products. >> And it's not a sales pitch. >> Right, it's not a sales pitch. But, why that decision and what's your vision for where you want to take this thing? >> Yeah, so again, I would say that a lot of conferences, and this is no offense to my brothers and my sisters in the events world out there, but people are so sick and tired of going to the standard trade show. The days of pipe-and-drape and aisles of just being pitched to and receiving free stress balls, and hiring staff that might not even be employed by the company, but they just frankly look good, those days are completely over. In our audience, the technologists who really matter in this world, who are doing a lot of great work, they want that substance and that core content. So, for us, it's really a vision about that's embraced and sort of evolved into give back and let the content lead your success. And that is going to help amplify the voice and further the mission. We look at LiveWorx as a catalyst well beyond the company that employs me and the people that work for just these companies. We have a vision to make Boston an epicenter, a headquarters, a world-renown attraction for technologists world-wide knowing this city for IoT and for AR. And for us, we embrace the innovation district as that pallet, that backdrop, that environment to allow us to really accomplish that. So, LiveWorx is growing exponentially. We experienced double digit growth this year, which was amazing. Starting where I was only with this company two years ago and less than 25 hundred attendees and we're at 6,100 right now live on the show floor at LiveWorx. So the future is really bright for us, and we're embracing this notion of the convention center is only going to be constricting for so long. It's time that we also implode those four walls and we embrace the outside. And what our plans are going for, which I'm really excited to sort of announce, is we're going to be now becoming more of an industrial innovation week in Boston, and taking our plans mainstream. So, that means taking the content that we focus on, and the partners that we work with, and the industry thought leaders and now you start to actually replicate these events throughout the entire seaport. So, think of it, and again most of you know South by Southwest, I'm a big fan and an avid follower, think of it South by Southwest meets Industrial, and that is the future of this show. >> Love it, and you know, we're thrilled to be part of it. And it's palpable. You actually see now, in the seaport... You know, we were talking off camera, you can't compete with Silicon Valley or on terms with Silicon Valley does. You shouldn't even try. We're bicoastal, we have an office in Palo Alto we know it well. It's a unique vortex. But certainly, IoT, Blockchain, VR, there really is some clear innovation going on here so, if you can focus on that, you can actually really blossom an ecosystem and that's really what you're doing. >> Oh, absolutely. And, again, PTC has been headquartered here for over 25 years, they're a leader in industrial innovation. They're a company that believes in giving back. We have curated and nurtured through partnerships with Harvard Business School, with MIT Innovation Lab, etc. We have cultivated some of the greatest startups of our time right now, who are creating groundbreaking technology in IoT, in AR, that is changing the world. We're even actually doing work right now in our backyard with Boston Children's Hospital, for example. Doing incredible work with our Vuforia product in AR that's helping actually find a cure for Alzheimer's. So, again, the possibilities are endless, and the innovation is limitless. >> Well, you're the hot company right now, obviously growing very rapidly, you're kind of like the Comeback Kid. You're clearly punching above your weight. The Scott Kirsner article in the Globe was unbelieveable. >> (Devin) Thank you I know we're very... Shout out to Scott. >> And so, you got to be thrilled with that. But, what's interesting to me, Dev, is you're not... You could ride that wave, and just pump up PTC but you're doing things that will allow you to sustain this as a community member, paying it forward, you know, it's kind of a cliche, but that's what I see. Thoughts? >> A hundred percent. And, again, the way that we sort of frame LiveWorx is I want you to think of PTC as the presenting sponsor. They are an investor in the vision that this team has to carry forward the community and the movement all around industrial innovation. And again, we feel that Boston being sort of our headquarters in our backyard, it's important that we're giving back and again, furthering that opportunity to further solidify our right as a rightful heir of IoT and AR, as a city, as a community and as the state of Massachusetts. >> Dev, wondering if you could give our audience that didn't come to this event a quick flavor of what's going on, flavoring and I loved you had the Boston food trucks all right outside. They're a little warm. My friends from the west coast are like, "This isn't warm." But for Boston, it hit summer. But, give us a quick tour around what people missed. >> Yeah, so we're all about an immersive experience at LiveWorx. Again, you're going to have sort of a checklist of what you absolutely need to have at an event to sustain someone's expectations. So, the content, the networking, the value. But again, we like to take it a step further and things that I call delight moments. So, for example, this year in Extropolis, and Extropolis, for those of you at home, that is our sort of expectation shattering, ground-breaking, playground for adults in technology. So, every corner, every ounce, every inch of this show floor has something to engage, ignite the 5 senses and tell our story. And one example specifically that I love to highlight this year is I've actually created the vision with a whole slew of individuals from PTC and partners and whatnot. Something we call the X-factory. Manufacturing is one of the biggest industries in business in the world. Mostly every company at an enterprise level has some sort of manufacturing component to it. And what we wanted to do this year is create the factory of the future. Meaning, working with the leaders like McKinsey, and again HeroTech and global brands in Germany who are defining manufacturing and who founded manufacturing in our history, we have partnered with them to say, "What does that factory of the future look like? What are companies going to be doing five, ten, fifteen years from now and what can we expect?" You're getting that first at LiveWorx, which is awesome, and the whole process is "Let's not have a standard kiosk. Let's not do a laptop with a video. Let's actually build out a 20,000 square foot industrial factory with multiple stations from digital engineering to service to again, AR induced digital twins and everything else in between. And let's actually have every single attendee create, design and manufacture a smart connected product. We're working with our partner, Bell and Howell, from a shipping, service and supply chain perspective, and again, we are blowing the roof off this show on that one activation, and there's over a hundred in total throughout this entire show this week. So, that's a little bit of a flavor of LiveWorx. And beyond that, we do things, everything from a puppy daycare hour to sort of do a high tech low touch feel. We do incredible food presentations and we're going to be ending with a big bang tomorrow with our closing party called the Mix-It Six, which is one of my favorite programs the entire week. And that is actually a superhero themed event where we're actually having a guest host and a personal friend, Paul Rudd, who was the Ant Man for Marvel, he'll be hosting our event. And the whole notion around superheroes is that we tell everyone this week "Unleash your inner superhero". Take advantage of the technology that is on display, and realize how it can enable and empower you to now have superhuman powers. So, everything from AR giving you the power to see the invisible, to IoT helping you get the power to predict the future. Everything is possible and everything is creative at LiveWorx. >> Well, it's obviously working. And so, I'm sure the execs are seeing this going, "Great. Good Job. Way to go. We've got some momentum. Let's double down." But, you back up two years ago, how did you sell this to the folks? Cause we see a lot of guys like, "Alright, how many leads we going to get out. How much revenue we going to drive" How'd you get through that knothole? >> So, let's put it in this perspective. There's a lot of intrinsic and intangible ways to measure the success of a show, and the value and the impact brought to a company. One thing I would actually say, I've worked in the tech industry for over six years now, I've been in the events business for over a decade, I've worked for some of the most incredible and impressive, and media-driven startups in the world right now. PTC, though, is a very interesting ecosystem. Their executives actually embrace the notion of what I presented first and foremost, about again, industry inclusiveness as we call that term. And for us, we have a vision at PTC to be disruptive, to be ground-breaking. If we do not embrace that ourselves, as our culture and our business model, how do we hope someone else to believe in the product, and the vision and the mission that we set forth in the marketplace. >> And from that, you got a response of, "Yeah, let's do it." >> So, again, am I going to be a hundred percent honest and transparent? Was everyone embracing that a hundred percent? No. But again, I think the proof is in the pudding and I think again it's a leap of faith in saying, "Listen, take a chance. Be disruptive, and see what the product of our fruits of our labor could be." And again, here you have it three years later, triple the size of the audience, tripling the size of the success, seeing multiple customers, multiple partners multiple industry leaders now attaching themselves to this brand. So for us, LiveWorx is nothing greater than a record breaking success this year, and I'm so excited for the rest of you at home to experience on the live stream, or again check out 2019 June 10-13. >> June 10, right here. Right? >> (Devin) Right here again. >> Dev, first of all thanks so much for having The Cube here and making us a part of this awesome event and look forward to working with you in the future. Congratulations on all your success. >> Thank you so much. >> You're very welcome. By the way, check out thecube.net that's where all the videos here will be. Check out siliconangle.com all the editorial coverage. Wikibond.com is where the research is. We're a wrap here from LiveWorx day one. Dave Vellante, for Stu Miniman. Thanks so much for watching, we'll see you next time.

Published Date : Jun 18 2018

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Doug Smith & Linda Salinas, Texmark | PTC LiveWorx 2018


 

from Boston Massachusetts it's the cube covering LIBOR X 18 brought to you by ptc welcome back we're at the Seaport in Boston at live works PTC's big IOT show this is the cube the leader in live tech coverage I'm Dave Volante with my co-host to minimun Doug Smith is here is the CEO of Tech's market he's joined by Linda Salinas was the VP of Operations folks welcome to the cube great to see you happiness you're very welcome having us so what do you think Big Show here the first time we've been at live works a lot of good energy keynote this morning was like an Olympic you know opening ceremony how's the show been the show has been fantastic and again thank you for having us here for us at texmarq being able to see all the different technologies that are being employed here in the United States and around the world has just been fantastic for us that's been really exciting I enjoyed the keynote speakers in the opening session and I I got a lot of inspiration from that I just wanted to go right back to the planned and use some of the things that we saw early on already so we do a lot of these tech events as you know and we talk a lot of tech but people process technology it's the process and technolon process parts that we don't spend enough time on we kind of give it lip service say hey those are really important but let's talk tech let's talk about people and culture maybe the start yeah from an Operations standpoint how do you get people to think about change well we don't think of it as change we think of it as we are doing something now and we need a tool to do whatever it is that we're doing it better and early on when we partnered up with HPE and they said hey we have some IOT solutions to introduce you to I thought oh that's great and I said well why don't you and Doug come out to the our innovation laboratory and Tomball and take a look at the lab and see some ideas and I said well that's great can I bring some friends and they said sure said can I bring 15 friends and they said sure so we rented a party bus and we loaded up people from our ops and maintenance and engineering and lab and admin and we went there and we first sat in on a lecture about what IOT was and then when we saw the lab in the smart city and the medical applications and so forth that all of these all look familiar but then we saw the demo of the censored pump and that just saying to everyone they said wow we have a hundred of those in the plant let's go do that tell me about that and so it wasn't about us implementing changes saying hey here's this new thing go use it it was it was about them seeing what they wanted to do and bringing it back to the plan saying this is what we're going to do boss yes so Doug you guys are actually heading out to discover shortly right yes sir so I've talked about your relationship with those guys it sounds like it's it's growing how is it going sure so once again it's all about people and as Linda said this this journey began with a conversation with HPE and now we have a collection of 13 different ecosystem partners who are helping us with these five different use cases that are built on top of this technology foundation that was supported by HPE so we have CB technology we have a Deloitte we have Flo serve we have any number of people that can help PTC I mean this is a PTC event certainly how they are helping with these different use case solutions and so going out to Las Vegas Nevada we are going to continue this story about people I think the strongest part of this story is that it has been we have encountered bumps along the road where we've had to work together it isn't like the movies where the IOT saves the day we have to deal with it and struggle with it would you agree yeah and that it has been a journey but going back to the people it is about having the partners come to us and say this is what we need to do to implement it we need to install these sensors we need to install the antenna we need to have line of sight to the wireless access points and so forth but from the beginning it wasn't about a contractor or two or three or all of the partners coming in to texmarq and installing everything and then giving us the key and say turn it on we included our employees in the installation process so they know how the sensors went in they know how to adjust the antenna they know on a first name basis all the tech contacts within all of our ecosystem partners so this is not a Linda and Doug project it is their project they have ownership and what's been fun to see evolve over time is that now you know the refinery of the future has become a noun or a verb so they will say hey let's ROTF this problem how can our OTF help us make this process better more efficient so it's really been exciting to see that come back at us yeah so wonder if you could bring us inside a little bit I hear 13 partners and worried a little bit there's the integration there's the training there's the support it sounds like you're happy with it but for for those that haven't gone through it what what did you learn and you know how does that work sure and this is kind of colloquial talk here but what we say at text mark is the first thing that we've learned is you have to get nekkid you have to say here are the problems that we have how can we all work together you have to have this honesty and you have to feel comfortable with the partners and we have set a standard from the get-go of here are our expectations clearly stating those expectations and we have had some partners that have come in and it just hasn't worked out so this clear communication setting achievable goals and when we encounter problems address them immediately and I think that's one of the things that's made us successful did it can we talk about the refinery the future paint a picture for us what's what's the refinery of the past and what was the for finery the future well I think the refinery in the past and the future at its core is still refining we have at texmarq chemicals where a petrochemical manufacturers so we primarily produced through distillation and reaction but at any refinery or petrochemical entire your distillation tower your crackers your reactors loading tank storage and so forth so that's a refinery past present and future but the future one I think employs IOT and technology to do what we're already doing today better you know I think about when I get a coupon in the mail and it's like hey you know one buy one get one free on potato chips so I don't even put a tow chips but that coupons gonna make me go buy potato chips well it's not that way with IOT we don't see a solution to go let's go start doing this in the plant because this IOT thing is really cool it's just the converse we're already have connected workers we're already using two-way radios and clipboards and spreadsheets and whatever but the refinery of the future uses IOT to connect us with technology so that we're doing it better and faster and safer how about the data agenda yeah 13 partners as Stu said you've got a desire to capture the data and analyze it make things better your partners do how do you guys approach the analytics side of this and the data side so I like to think of data I one of the meetings that we had when we started down this road I was sitting in my office and we had three different groups in there and there was one gentleman I was watching you is shaking his head and he goes this is a goldmine and I immediately focused in on them and said what what is this goldmine of what you speak here and and just being able to have for example our one of our main processes is for a chemical called dicyclopentadiene tea DCPD as we move along in this project we want to be able to censor the seven pumps that are involved in that process from putting it into the feed stock tank to put in it out on a railcar and being able to tweak it and find that sweet spot and to monetize that Linda could you go in yeah I think also too from a contract manufacturing standpoint we'll have one of the super majors that are that are that are refiners or chemical manufacturers themselves and want us to produce product for them on their behalf and I think that the data part part of our competitive edge is to be able to offer an IOT adder kind of like would you like fries with that to add IOT on to the project that they're approaching us with and say hey would you like IOT with that supersize it yes exactly yes and so and they're like oh tell me more and in fact we had a one-on-one meeting with a potential client when we discovered Madrid and and so now we're having commercial conversations with them about contract manufacturing but because they're so interested in IOT they want to add an IOT element to that and so then we can either surcharge or up charge for that contract manufacturing by the pound we will learn to optimize our processes on their behalf and then we share or sell the data to them they become the owners of it that's a that's a direct monetization as a value creation for the customer that they're willing to pay for yeah yeah that's cool well I think one of the altruistic aspects of what we're trying to do at texmarq is within multiple industries you have this this grain of the population so of the workforce is retiring out and with them they're taking years and years of tribal knowledge so you may have an operator who knows when you're doing this process you need to turn the that you need to adjust that valve this much and to be able to gain that information and pass it to the younger people coming in and then to show with in the petrochemical 'ti that we are utilizing technology this isn't the technology excuse me the refinery of the past this is a job in which you can use cutting-edge technology use this this feels like I was talking we were talking earlier one of our guest it but this whole IOT space it seems like it's not I mean it's disruptive in this in the sense that you seem to be doing a lot of things differently but as you were saying Linda refiners still a refinery so the ecosystem of that refinery to me anyway seems to like largely stay intact it's just a matter of embracing these new processes and changes in culture and obviously technology so the incumbents it feels like they're in a pretty good position is that a reasonable premise or am I missing something no I think I think I think you're right yeah yeah I think about one of the things that I heard in the keynote was that we are one of the early adopters and so I feel like it's part of our responsibility to share our story and to share the lessons learned right absolutely Linda and so she hits on something that humbles me is one of the things that we offer are these showcase tours where we have super majors come to texmarq and we have to censored pumps and there they are so enthralled about us showing it to them that to us we just say we want to show we want to be inclusive we want to be leaders and and so it's a great feeling so anytime we talk about IOT security something that comes up and you know in your line of work also we think safety for your workers but something that also of wonder if you could talk about those dual lasses paramount would you yes my eyes get big and that's where my heart is and I've been in with techsmartt for 23 years and I spent about 18 years doing environmental health and safety compliance and the thing about our five use cases is I can in my mind anyway tie them all back to reducing risk and improving worker safety and reducing our risk our environmental risk and impact the community so connected worker they're connected we either know where they are we know what they're doing we provide them information to make informed decision we have safety and security to be able to direct them in case of an emergency either to go towards emergency if you're a responder or away from it if you are not or if there's a person that fell from a height we know exactly where they are so we can go render aid because they can't raise their hand and say I'm hurt so all of these use cases advanced video analytics to know if we have a hydrocarbon leak or if there's someone crossing our property line whether it's a coyote or a person or someone that doesn't belong on our side of the fence they each have their own application but they all have some sort of tied to reducing risk and improving safety so it's sensors that can detect that type of movement you're not instrumenting humans right it's no no that's right same activity yeah what about now you've got everything connected now is there any concern that rogue agents could you know somehow do something malicious so we take a great deal or we pay a great deal of attention to security of data because that's our secret sauce that's how we are profitable within the world so we have we have put in all sorts of security measures from the sensor to the I walk to the the compute and what I continue to learn is it's a constant battle and so we have to it is something we have to be vigilant about so so what's next what should we look for from texmarq this whole space what are some of the milestones maybe that we should be paying attention to in terms of milestone I'm really excited about the the connected worker tool which allows different personas to approach for example an asset like a pump and Linda could be the CFO and I could be a millwright and we'd be looking at the same piece of equipment and I as a millwright would be getting data what type of service that pump needs and then Linda is the CFO could get financial information about when that pump fails or we're predicting failure in three months that pump will cost X number of dollars in the downtime will cost homesman exactly to the whole production procedure so and the other thing is I'd like to see us develop this use case to the video as a sensor we're working with Intel on that one and so they're excited about testing their equipment as well so and that's another area because we're looking at putting on our railcar loading area involving our railcar loaders on exactly where we should put them what we should look for what they think are the risks in the railcar loading area and so it's really just more of the same kind of continuing to involve our employees and having these projects and become theirs great well Linda and have a great trip to Vegas say hi to our friends from HPE and thanks so much for coming back in the cube really please so much you're welcome I keep it right there everybody stew and I'll be back where the next guest from Boston at live works we'll be right back [Music]

Published Date : Jun 18 2018

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Mario Armstrong, NBC | PTC LiveWorx 2018


 

>> From Boston, Massachusetts, it's theCUBE, covering LiveWorx 18. Brought to you by PTC. >> Welcome back to Boston, everybody, to the LiveWorx show, hashtag LiveWorx with an "x" at the end. You're watching theCUBE, the leader in live-tech coverage. My name is Dave Vellante, and I'm with my co-host Stu Miniman. Mario Armstrong is here. He's a two-time Emmy winner, contributor to NBC today. He's the creator of the "Never Settle Show". He's an NPR contributor. >> Yep. >> And the host of LiveWorx. >> Yeah! >> Thanks so much coming on theCUBE. >> Yeah, it's a pleasure to see both of you. Good to see you too, Stu. Thanks for having me on the show. >> So yeah, this morning, a lot of action-- >> Yes. >> First of all, I tweeted out, that was like an Olympic opening, I mean-- >> That open was phenomenal. I mean, an LED-lit troop, full LED uniforms on, being acrobatic, what you can't see behind the scenes, by the way, 'cause you think it's kind of like Cirque du Soleil type of thing, with like, tech, but what you don't see are, like, these three other people that are way in the back behind the scenes, going up, scaling up and down like this truss that's like dropping them or raising them. It's just, the performance was phenomenal. >> Yeah, it was really great. And you kicked it off... 6,000 plus people here. >> Yes. >> You said the largest digital transformation conference on the planet, which of course, we were joking. Everybody says their digital-- >> Yeah. (laughs) >> But this really is digital transformation, isn't it? >> It's a lot that's taking place. I mean when you think about manufacturing, smart manufacturing, when you think about how you're trying to accelerate processes and you start looking at where things were like 20 or 30 years ago and how physical things had to be and how you actually had to, like, maybe even work on a thing then leave it, go to another place, report on it, come back to it, tweak it, and so now when you start seeing the merging of AI, VR, and so you're taking the physical and the human, and you're putting these... and the virtual, and you're putting these things together, you're seeing things like what PTC is showing us today. I mean, some of the demonstrations that I saw were absolutely mind blowing in terms of the acceleration of the process that you can actually get things done with how they're merging the different technologies and integrating them together. >> Yes, Stu and I, we're talking earlier, it's hard to get your head around this whole IOT, industrial IOT, there's just so many segments, it's so fragment that, and it's-- >> Yeah. >> It's enormous, it's almost impossible to size, I mean it's trillion dollars, this whole economy of its own. What are your takeaways on just that whole space? >> You know, a lot of what I focus on, too, when I'm doing everything from NBC or NPR and stuff like that is on the consumer impact. So I'm looking at the consumer side but I'm also an entrepreneur, so I'm thinking about what's happening on the business side. And when I see on both ends, you're absolutely right. The field is enormous when you really think about it. Whether you want to look at how we can replace old school manufacturing and how this is going to transfer... That's a whole sector just in it of itself. We haven't even now talked about, you know, AI for children or for (incoherent) or for the health and wellness sector, whole other sector that's looking at IOT and the power of that. I mean, being able to look at.. I was just in one of the other, in the deluxe lounge and I was checking out one of our fun games. It's called Sphero. It's a consumer game, but its a small ball that you control through VR and AR on your phone, but you can actually use the phone to program things in real time to make it respond in real time. So all of these things together, to me, start to paint this large ecosystem because now you have kids that are growing up using devices and using technologies that we're just starting to get our hands on but this is how they're solving problems and thinking about things already. So when this economy and this ecosystem starts to mature, you're going to have a ready-made audience that's already been exposed to 90% of this. >> Well, and Stu I wonder if you could chime into it, it makes me think that these worlds, even though consumer and industrial are so seemingly different, it seems like parts of them, anyway, adjacencies are coming together. >> Absolutely. And there's always going to be that... There's always going to be... Look, when I talk about innovation and whether you look at Dr. Hill, who's speaking here today, Dr. Linda Hill from Harvard and others, when I look at it, she calls it creative abrasion, like the difference between brainstorming and actually utilizing new ideas to create new concepts. I call it hybrid design. Normally, it's taking something that you know exists and then taking two things that don't seem to go together-- that's normally where you find creation. I don't like to say disruption, I like to say creation. >> Yeah, actually there's a good friend of mine that I work with and I worked at EMC, he called it venn diagram innovation. >> Oh, that's it! That's it! >> I take a few things and I put it together and we were talking about the consumer side-- >> Yeah! >> We've looked so many technologies, you get the scale usually from the consumer. When we look at things like flash in all of our devices-- >> That's right. >> Really enabled the enterprise to do things. The VR and AR is something that we've actually got some folks on the team that are heavy gamers that they're the ones that I go to when I want to learn, "Okay, what's the cutting-edge--" >> 'Cause they've already been in it. That's right. >> They're on their Steam, they're doing everything. >> That's right. >> They sort everything out. You leverage a lot of technology in how you really get your message out there. Talk a little about how you think of media these days. >> Oh, it's completely different. I mean, when we're looking at how media is even utilized in these new technologies, you know, our talk show is a talk show that we shoot in Nasdaq Studios, so it's shot in New York City, it's called the "Never Settle Show", it's a weekly one-hour live stream talk show, so we get and appreciate what you have to go through. These guys are pros by the way. (Dave and Stu laugh) Yeah, they're pros 'cause this is not easy to do. >> It's a minor miracle, right? Every time. >> (laughs) It's not easy to do at all. And so a lot of kudos to you and the team behind the scenes that make that happen. >> Thank you. >> With that being said, it's a great time if you have an expertise or if you have content to share especially in a live scenario because now you can start to really utilize other technologies within that. For example, we kind of claim ourselves to be one of the most interactive talk shows out there. What we do in our show is we're using other technologies, bringing them together to create real time conversations. So how that practically plays out is I'll have a guest on the show, we'll be talking, I'll put up a screen of three options and people can vote right then and there while they're watching in stream and you'll see which of what they want me to do next. I'll say something like, "Which thing is most appealing... Which topic do you want us to talk about next?" And they'll actually vote in real time and then the control room in everyone doesn't know what the answer's going to be, but we're all waiting for the answer and then when the popular vote comes out, few seconds later, we scramble and adjust to that. That's real time television, giving viewers what they really want in real time, using different technologies. So that's this hybrid approach. We can be a standard show and just do... talk and have that format, or we could really be looking at things that we could integrate in other technologies that would enhance the viewing experience and make it much more productive. >> Well you're actually affecting the, you call it "creation" as supposed to "disruption" of this new media industry, I mean, you've seen... I saw a stat the other day that cost the New York Times 200 million dollars to run a news desk. (Mario laughs) You're seeing, you know, billionaires buy up, you know, the Boston Globe, the Washington Post-- >> Yes, that's right. >> The industry is transforming in a huge way. You're seeing, you know, Facebook backlash with fake news. What's your senses as to what's going on in the media business? Obviously you're "creating", "disrupting", whatever you like to call it, sure. What do you see is the future of the media business? >> Well, I mean I think it's going to become something where the end reader, the end viewer has more control. Ultimately, that's... the problem with most systems and most structures is when people want to hold the control and not share because whether that's ego, whether they're worried about intellectual property loss, or whether they really think that the market's going to swallow them up.... Now I'm not saying, obviously you give away all your secret sauce, but what I am saying is when you start thinking from that small limiting position, you've already lost the game. And so what I think is going to happen, yes, you have big people buying a lot of media and there's a lot of discussion in politics about whether or not, you know, billionaires buying media are problems and what that's going to mean in terms of the message that's going to be reported to people, that's going to always be an issue, but I think even with that, that's why it's even more empowering that the individuals are taking more control over their own narrative. And that's why I think you've seen social media, Instagram video, Instagram talking about going to sixty minutes in it's video, not just a minute, for publishers, I think the power's now more in the person's hand to really pick and choose and so they vote with their eyeballs, they vote with their engagement, they vote with their interactivity. And so I think no matter what happens on the big end, people are going to be able to create and get the stories that they want to be able to get. >> Well we're big believers of that, Stu, and we're decentralized media and we really believe that there's got to be an incentive system to put the power back in the hands of the users to control their data. >> This is how it works. >> Right? I mean... >> Yeah. And, Mario, so we've talked about the tech and your show "Never Settle" actually won an Emmy for the interactivity nature of it? >> Yeah. It did. >> But talk to the people and passion, how that fits into "Never Settle". >> Yeah, so it's a blending. So what we try to do on our show is blend how you can leverage technology to move forward on your passion. But you can't use technology to move forward on your passion if you don't know what your passion is. So a lot of our discussions really work more around, "how do we get you to think differently"? How do we, you know... our vision for our company is to motivate people across the globe to never settle. How we do that through our mission is that we inspire the humans spirit, we want to teach lessons that matter and we want to uncover new perspectives. What that means, tangibly, is that when you watch our show, you should be having notes. You should be, like... our show is meant for you to want to take notes so that you actually know the process. What people are missing for the most part today is they see how to maybe start something or they see how someone else did and how they succeeded or how they failed, but they don't get the in between, the recipe. And so the more we can be sharing about the process about someone's success or, even better, someone's failure, 'cause that's where you learn more and you get more uncomfortable, makes you more comfortable, it's a blending of those two things of getting your mental position and getting you stronger mentally and building up your resilience so that you can actually go find your purpose, be happier in your life, but then use technology to accelerate. Like, that's the, as Jim put, like, you know, put gasoline and make it fast or make it go quicker. And so I think the blending of the two, again, a hybrid... Even how we approach our content is that. So we'll have everyone from tech luminaries on the show but also we'll just have everyday folks that have really proven success, like these people deserve attention but they're not maybe, quote on quote, big-names. >> And this idea of combinatorial innovation, you certainly heard Jim Heppelmann talking about that today with machines that are powerful and computers that are fast and can do things repetitively and then humans, which are creative. I like that theme. >> You can't do it any other way, I mean, this is why, you know, it's determination and direction. Your team needs to be determined but also have the direction. You need to have what I call the three P's. You need to have your passion in place. Like, what are you ultimately passionate about as a team? As an organization? What are you driving towards? What's your "why"? And then once you have that, then you can start to really push through on the perseverance. You're going to bump your head. You're going to fail fast. A great tech term, I love flipping that tech term because we learn in programming to fail to quick so that we can find the bugs fast and correct our course really quick. So that persistence happens. And then, the hardest part is you got to have some patience. Because then you have to kind of sit back. Let the market also play. Let the universe come around. Sometimes we're ahead. Sometimes we're behind. But we need to have a little bit of that patience to have some reflection to see where we are, so I think, you know, now is really just a great time for a lot of people that are looking to really figure out where they can make their moves... the opportunities that keep creating themselves in IOT are endless. I don't care if you're talking from someone that's a graphic designer all the way up to an engineer or a coder, to marketing and sales, like there's so many different facets of this ecosystem and opportunity now. >> I love that, Mario. Patient, passion, persistence, patience-- >> Yes. >> The three P's kind of start with why, the old-- >> Yeah. Simon Sinek. That's right. >> People don't buy what you do. They buy why you do it. >> That's right. >> Break stuff. >> (laughs) Love that. Break stuff. >> And don't give up. Don't give up. (Mario laughs) >> No, it's, you know... it's because what we're trying to do, if you really wanted to have action, you want to take complex things and you want to pull them together in a hybrid scenario and start to bang upon them. As opposed to the other idea of planning, planning, planning, planning, you actually want to practice, practice, practice, practice. That's what's going to get you there fast. So I just think that with a lot of the technologies it can be overwhelming to people 'cause they start to hear so much so that's why I say it comes back to, "What's your purpose?" If you can stay focused on why you're doing what it is you're doing, you'll know which technologies to pay more attention to. You'll know where your curiosity should veer more into. You'll study the things that you need to really study. And then you'll accelerate faster because you've identified your niche. It's like having a, you know, an Italian restaurant. You're not just, you know... somebody's going to come by and present to you... Some sales rep is going to come by and present to you, like, beer that's not a fit for like Italian restaurant, you know, like, I know that's not for me instantly. As opposed to being pulled in so many directions, which is what the danger of all this technology can do, is it can overwhelm us and pull us into so many directions that we want to go and pursue the hottest new trend or the hot thing. If we come back to our "why", we're always going to be secure. >> That's a great point, I mean there are an infinite opportunities of purposes in this world. >> Yes. >> It's sometimes hard to get a grasp on things and really focus. But you're seeing some of this successful projects really do start with a main spring and a focus and a purpose. >> Yeah. >> And a mission. >> It does. I mean, that's where it all becomes. I mean, it has to start there in order to get other people on board with your dream, whether you're the leader of the organization or the leader of a project. And, you know, I just feel that for many people, they are at an age where they have been in this business for quite some time. They've seen a lot of things evolve. Accepting change and, like Jim had said today, preparing to change is one of the best keys of information that you can take away because we all have the skill, the talent, the ability, it's just a matter or not, are we willing to adjust or are we... do we want to do status quo. >> Awesome. Hey, you're a clear thinker, articulate, you look great. Thanks so much for coming to theCUBE. >> (laughs) Aw man, Dave and Stu, it's been a pleasure. Thank you so much for having me on theCUBE. >> Our pleasure. >> This has been awesome. >> Alright, keep it right there, buddy, we'll be back from LiveWorx with our next guest right after this short break. You're watching theCUBE. We'll be right back.

Published Date : Jun 18 2018

SUMMARY :

Brought to you by PTC. everybody, to the LiveWorx show, Good to see you too, Stu. but what you don't see are, And you kicked it off... on the planet, which of of the process that you can almost impossible to size, the phone to program things if you could chime into it, something that you know exists that I work with and I worked at EMC, you get the scale usually go to when I want to learn, That's right. They're on their Steam, how you really get your message out there. what you have to go through. It's a minor miracle, And so a lot of kudos to you if you have content to share that cost the New York Times You're seeing, you know, and get the stories that there's got to be an incentive system I mean... for the interactivity nature of it? But talk to the people and passion, so that you can actually and computers that are fast I mean, this is why, you know, I love that, Mario. That's right. People don't buy what you (laughs) Love that. And don't give up. and you want to pull them together I mean there are an It's sometimes hard to that you can take away because you look great. Thank you so much for from LiveWorx with our next guest

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Day Two Wrap | SAP Sapphire Now 2018


 

>> From Orlando, Florida, it's theCUBE. Covering SAP SAPPHIRE NOW 2018. Brought to you by NetApp. >> Welcome to theCUBE, Lisa Martin with Keith Townsend. We are just wrapping up day two at SAP SAPPHIRE 2018. Keith, this event is enormous. We were just comparing our step goals. This event size is 16 American football fields. Enormous, 20,000 people. I think, combined, we have around 15,000 steps today. >> That sounds about right. >> Quite a few of them go to your longer legs than mine but this event is really been incredible, the energy that SAP's CEO Bill McDermott kicked off with yesterday morning has really been carried through this event and with our guests on the show for the last two days. >> No, we did 23, 24 interviews and every last one of them was high-energy. The guests were extremely excited about the products, the solutions, and the problems they're solving for, not just enterprise, but for society. I thought that was a really great theme of the guests today specifically. >> It's amazing, and you talk about, you know, the impact on society and SAP wants to be one of the top world's most valuable brands like Apple, Google, Coca Cola, who are all customers of SAP's and who all sell products that we can interact with, that we can taste, you know, Mercedes Benz, we can drive. They've got this invisible software product. They've been around for 46 years. And to your point, the stories that we have heard about how these invisible product, products, are transforming industries, are saving lives, was really something that I did not expect. >> Well when you make a great product that impact lives or... I compare it to making great content. theCUBE makes great content, that content would be found, people would take notice, you make a great product that impacts people's lives. It's no wonder that SAP is near the top of that brand recognition, brand value, 17th on the list. If they continue to do that, if they become the product, the ERP solution that you can talk to and you can ask a question, you know, not just business questions of what were the numbers the last quarter for Chicago, but you can ask a question, you know what, where is the best place to take my family to live in Eastern Europe during the summer months? That becomes value-add that people wouldn't be able to ignore. >> They've done a tremendous job building this partner ecosystem. There were hundreds of partner sessions alone. We've heard from a lot of their partners. We're in the NetApp booth, thanks to NetApp for having theCUBE here. NetApp is a customer and a partner of SAP and we heard a lot about how SAP is transforming to the cloud dramatically with the help of this massive partner ecosystem. >> You know what, we've had Microsoft, Fujitsu, SAP, NetApp, Nvidia, the list goes on and on of customers and partnerships of examples of companies that have come together and they've been consistent. In some areas, obviously Microsoft competes with SAP. In some areas, Microsoft competes with NetApp. But they recognize that without these alliances, without these partnerships, they can't solve these large, complex problems of ridding parts of Africa with mosquitoes. SAP can't do that by themselves. Microsoft can't do that by themselves. And this week was a great acknowledgement and a example of how the ecosystem works. >> They also talked a lot at this event about the intelligent enterprise where it's, you know, it's not just about digital transformation as table stakes. Companies that do it well have, or are working towards getting, this true 360-degree view of the customer which is essential. They talked about enabling that via certain things that they're leading in, or pioneering, which is connecting the demand chain and the supply chain. They really talked about enabling this new, this current SAP that's built for this fourth generation customer experience. Our lives as consumers have dramatically influenced business. We expect to have the ability to, you know, try and buy an app if we want it, right? And they're using that model very well to give customers in many industries, they have 390,000 customers, choice and flexibility. And the partner ecosystem is just part of that flexibility that they have to give. And they do a great job of listening to their customers who really are helping with a lot of the co-development in a very symbiotic way. >> Yeah, SAP is reentering this people-centric view of ERP, CRM, of data, saying that their relationship is about people. Bill McDermott spent a lot of time talking about trust. One of the reasons why people trust the brand of theCUBE is because we're on the ground, we're talking to the users, we're talking to the people. People can reach out and touch and feel you, there's a personal relationship between that brand and the community. The same thing with, got the same feel for what SAP is trying to do of, you know, obviously with over 20,000 people, I dunno if the number is 21,000, 22,000, but more than 20,000 people, a million people online watching the event, SAP the serious about this C/4HANA move, of being able to say, you know what, we are going to create a ecosystem of trust. We talked about trust with the app center and being able to validate applications on the platform. SAP has long been one of those companies that's serious about their partnerships and validation and certification of platforms. So whether it's HCI, storage with NetApp, the deep relationship with NetApp, SAP is going to put its brand upfront and say that if you're going to engage with one of our partnerships, there's a transient trust that goes from SAP to their partners. >> And we talked with a number of folks working in different groups within SAP focused on the customer. This morning we had on their Chief Customer, a guy from their Chief Customer Office who talked about these, kinda top 100 strategic accounts that they partner with who then also they take that information, those learnings and don't just improve the technologies but they also use them to influence much greater than a hundred customers. They're strategically utilizing that data. We talked yesterday with one of the gentlemen running the SAP four, S/4HANA community rather, and the Leonardo community and the amount of engagement that they have in that community, especially in Leonardo which has only been around for a year. The customer engagement is key but also their reaction to it, and I would say even, I think we heard a lot of how they're being proactive with creating content and enabling their customers to be able to learn at the same time as they're learning from their customers. >> Yeah some hero numbers that we heard this week: 6,000 people in that HANA, the S/4HANA community. While the Customer Success Group focuses on the top 100 customers, there were, I think 38,000 people following the Twitter account, so there's obviously outreached stretch. The Leonardo and S/4 communities have created a thousand videos on how-to. So obviously the impact of and the reach of SAP has ambitions of not just raising brand awareness and getting into that Top 10 with Apple and Google, they also have the ambitions of becoming a platform, a ecosystem. You know, we look at Microsoft as kinda one of the ultimate platform companies. Microsoft partners make more money off of Windows than Microsoft makes off of Windows. SAP seems to have the same goal of their partners, there's a hundred partners on the show floor, that should generate more revenue than SAP which would be impressive. SAP, I looked the other day, $136 billion market capital, not a small company at all. >> So you have an interesting perspective, for many reasons, but one you've run large SAP infrastructures before. And here you are now at SAPPHIRE from the press and media, the analyst perspective. What are some of the things that really surprised you in all of your experience as a user of SAP to now covering it from this angle. >> You know what, I don't know if it was a year ago. It was not even a full year, my anniversary for running my company is August. So less than a year ago I ran SAP for a large pharmaceutical. And we're in the throes of selecting where our next platform was gonna be hosted. Cloud was a possibility and it is amazing how the conversations have changed from my peers a year ago, or a year and a half or even a year ago, to now to how readily acceptable customers are of running mission-critical, the core of the business, 77% of the world's transactions, we heard today, goes through SAP, how willing customers are at running those work goals in the cloud. Second piece, which was probably a proof point, how much SAP has improved SAP in the cloud. SAP has marketed SAP HANA and SAP as cloud-ready applications, it was more of something that you... I took legacy application, I installed it on VMs in the cloud, cloud-ready. No we've given examples from the hyperscalers, specifically Google, of how, and Microsoft of how, customers are coming whipping their credit card up, spinning up instances of HANA, spinning them down. Google talked about how you can migrate your whole ECC on HANA to the cloud within 30 minutes to two hours, amazing movement in cloud. I think it's by far my biggest surprise coming to this show. I didn't expect SAP to accelerate their cloud adoption as fast as they have. >> I'm curious to your thoughts too about simplicity, simplicity of message, you know, what's their best-run businesses campaign? Best-run businesses run on SAP. Simplicity has long been part of their messaging. As we look at the SAP cloud platform and some of the announcements there today and you look at, they've got Ariba, and Concur, and Fieldglass, and SuccessFactors, with the C/4 announcement from yesterday, what is your impression on, have they been able to sort of simplify and kind of reduce customer confusion in terms of this breadth of products and technologies that SAP now delivers? >> You know, SAP is a big company and they have a lot of products. They've been around for 46 years. You know, we didn't talk about any legacy database stuff. They still own Siebel so they still own a traditional database company. It's easier said than done to simplify the message. When you come to... You know, we talked to interviewee after interviewee, customers are still overwhelmed when they look at a overall problem. They can even identify SAP as the potential partner to solve it, but 300 products is still 300 products. It's very... You can help simplify the message by throwing those products in categories, sales force, which product you lead with, so new customers, you know, sales force will help you with that. Traditional customers that don't have deep relationships with their sales force and solution providers, maybe, I think there's still a little difficulty around understanding the messaging around all of 300 products. I mean, it's 300 products. >> Well, there's always work to be done and well we have... There was a lot of product announcements, a lot of energy, and evangelicalism that you and I heard consistently throughout the event and on-set here. A third area that I think really struck me is, SAP has been very vocal about having an initiative to raise the profile of women in technology. They did an excellent job of getting women onstage during both keynote sessions, yesterday and today. From their CMO, Alicia Tillman, to Lindsey Vonn and a whole suite of women Olympic athletes that were yesterday in the general session, to some of the women that were doing some of these outstanding demos and I, I really tip my hat to SAP because for being as large and as lengthy of an incumbent as they are, they're really able to focus on some of these key areas and we at theCUBE love to cover that because it's something that really needs consistent awareness. >> Well, I dunno if people would notice but we probably, both of us, are very vested in diversity and Silicon Valley, in general, is always appreciated when companies go, not just acknowledge the challenge of diversity, it is a very, very difficult problem. It's probably one of the most difficult problems in our industry. So to actually put some meat on a bone, announce the problem, announce the challenge, and go forth and put, you know, obviously, extremely capable women and minorities in the forefront. >> Yeah. Well Keith, always a pleasure hosting with you. Thanks so much for working with me the last couple of days, it's been-- >> I always enjoy it. >> I do too. It's really been a really fun, energetic show so thanks for all of your help. >> Thank you. >> Keith and I wanna thank you for watching theCUBE. Lisa Martin for Keith Townsend, we're from SAP SAPPHIRE 2018. Thanks for watching. (energetic music)

Published Date : Jun 9 2018

SUMMARY :

Brought to you by NetApp. Welcome to theCUBE, Lisa Martin with Keith Townsend. Quite a few of them go to your longer legs than mine of the guests today specifically. that we can taste, you know, Mercedes Benz, we can drive. and you can ask a question, you know, We're in the NetApp booth, thanks to NetApp of how the ecosystem works. We expect to have the ability to, you know, try of being able to say, you know what, of the gentlemen running the SAP four, S/4HANA community in that HANA, the S/4HANA community. What are some of the things that really surprised you in all of running mission-critical, the of the announcements there today and you look at, It's easier said than done to simplify the message. of these outstanding demos and I, I really tip my hat to SAP and go forth and put, you know, obviously, with me the last couple of days, it's been-- for all of your help. Keith and I wanna thank you for watching theCUBE.

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Chris Bedi, ServiceNow | ServiceNow Knowledge18


 

>> Announcer: Live from Las Vegas, it's theCUBE. Covering ServiceNow Knowledge 2018. Brought to you by ServiceNow. >> Welcome back everyone to theCUBE's live coverage of ServiceNow Knowledge18, I'm your host Rebecca Knight along with my cohost Dave Vellante. We're joined by Chris Bedi, he is the CIO of ServiceNow. Thanks so much for coming on the show Chris. >> Thanks for having me. >> So, we're hearing so much about improving employee experience and this is the goal, your goal, and also the collective goal of CIO, so can you tell us a little bit about why this, and how do you see your role in this? >> Yeah for sure, I mean if I rewind three or four years I don't think experience was really on anybody's agenda, or not high on the list. I think, you know, what we've come to realize or I've come to realize is that experience is critical to actually getting the right behavioral and economic outcomes. It is not optional anymore because with the amount of transformation that we're driving through technology it's changing processes, changing the way customers interact with us, suppliers interact with us, and that change needs to be easy. And not just easy for easy sake, but otherwise we don't get the business outcomes we are looking for. So, for me it's very purpose driven to say that for us to get those economic outcomes we have to focus on experience. >> I feel like the CIO role is evolving, and we've talked about this before, I'd love your thoughts on it. You know, it kind of used to be, alright we're going to keep the lights on, granted that's still part of the role but it's table stakes. >> It doesn't go away. (Rebecca laughs) But yes, still part of the role. >> You know, we can outsource our email, you know, what are we going to do with the cloud, okay. That's shifting, you know, with the digital economy, machine intelligence, the economy booming, this war on talent especially in Silicone Valley. Things are changing, how do you see the role changing and where do you see it evolving to? >> Well, I think the CIO role is changing. It's driven really by what's going on in every industry. If you think about it, everything, how fast your company operates, how efficient your processes are, how engaged your employees are via employee experiences, the mode in which you're able to interact with your customers, how digital your supply chain is, everything is powered by technology platforms and CIO's are the ones governing and managing and those technology platforms to deliver those outcomes, and I think it's only going to increase where technology has a bigger and bigger impact and I think that is really driving a shift in the CIO role where CIO's need to be front and center. There is no more, here's the business strategy, here's the technology strategy. They are one and the same thing and I think in our consumer lives we talk about the digital divides or the have's and have nots. I think the same thing is going to play out in enterprises where those enterprises that can figure out how to harness these newer technologies to drive meaningful business outcomes are going to start to separate themselves from the competition and that separation's only going to get bigger with time. So I think there's a tremendous amount of urgency on this topic as well. I was reading a recent article which talked about CEO's priorities for IT and saying favoring speed over cost, and I don't think that's because all of a sudden we're going to become frivolous with our spending. But I think again it just speaks to the urgency and the need for businesses to transform and it's now. >> It's not just harnessing the technologies, it's also harnessing the employee behaviors that need to change in order to create these cultural shifts that you're talking about, right, or? >> Yeah, for sure, and I would say and we had our CIO Decisions yesterday, one of the key topics was, you know, driving cultural transformation and I find that's a lot of what I'm doing and that involves a lot of selling, quite frankly. I mean, I don't have sales in my title, but by the very definition of it we're saying this technology has the promise to unlock a new business model, unlock a new process. Get to that next level of efficiency or productivity. But, you're selling a vision, right, and that means change, and people don't like change. As long as someone else is changing they're fine with it, once it's themselves, so we have to focus a lot and really double down on transformation efforts and play a key role in that, and to link it back to your first question, that transformation gets so much easier if we can deliver compelling experiences, right? So, it's all kind of tied together. >> Four years ago at K15, Frank Slootman sort of threw down the gauntlet to CIO's in the audience and said, you must become business leaders, if you don't become business leaders you'll be a dinosaur. How are you a business leader, and how are you becoming a business leader? >> I think it's really shaping IT's agenda based upon what's important to the organization. And, that's going to be different for different organizations but largely it's going to be things tied to customers, how productive and engaged are the employees, what can we do to drive margin, which is top and bottom line improvement in the economic model, and making sure that IT's goals and objectives are one and the same with the business goals and objectives. So, for example we do at ServiceNow in IT, we have a shared contract with every function. Marketing, sales, you know, professional services, that here's the business outcomes. On my dashboard, you'll seldom see a whole bunch of IT metrics, it's all about did we get to the business metric or not. Cuz if you're not measuring that then I'm not sure what you're measuring. >> Okay, so you, and I'm sure you have a lot of IT metrics, too, but you're able to then tie those IT metrics to business metrics >> Sure. >> And show how a change in one flows through the value to affect another. >> Yeah, I mean, where the role was, that doesn't go away and it's a critical part of the role and I don't want to undermine it which is, all the invisible things that just happen in corporations, you know, the utilities of, is the networking, and phones and all that, that has to be rock solid. That's table stakes, but yeah, for the next part of that, it's really driving those transformational business outcomes. >> So you're a big proponent and advocate of machine learning, how do you see machine learning transforming the modern work experience, the modern workplace and then the employee experience of the modern workplace? >> I think at a very high level, it's around speed and effectiveness of decision making. And, machine learning, I think has the promise or the opportunity for all of us to unlock that next wave of productivity. Just like in the late '90s we had ERP's and they drove a lot of automation, and supply chain and finance organizations around the world got better. They got faster, more efficient. I think machine learning can do that for the entire enterprise by leveraging platforms to help people make faster and better decisions. I know there's a lot written about replacing humans and things like that. I don't buy into that, I think it's just helping us be better and I think there's used cases all over the enterprise. The biggest barriers to machine learning in my mind typically come with talent. How do you do it, and the good news is here, I mean what we embedded with machine learning in the ServiceNow platform, you don't need an army of data scientists that are super hard to find, almost democratizing the ability to leverage machine learning. Second biggest one that when I talk to CIOs, it's lack of the right data, and they don't have the right data perhaps because they haven't yet digitized their processes, so that's a critical precursor. You got to digitize your processes to generate the right data to then feed the algorithms to get the outcome, but yeah machine learning I think is going to materially transform how we operate dramatically over the next three to five years. >> And, I mean, IT systems continue to get more complex. They in many cases becoming more of a black box. I wonder if I could get your thoughts on this. I mean, I remember reading Michael Lewis's book, Flash Boys, and he talked a lot about the flash crash, and nobody could explain it. They chalk it up to a computer glitch, and his premise was a computer glitch is computers are so complex we can't explain them anymore. >> Yeah. >> AI, machine learning, machine intelligence, going to make that even more complex and more of a black box. Is that a problem for us mortals? >> I think it's a problem, (laughs) for us mortals, but I think it's a problem and I'll tie it back to the transformation in human behavior. We're, I'll call it prototyping and rolling out and leveraging machine learning in our own enterprise, and one of the things we've observed is that us humans, us mortals as you call us, we need to know why, so if a machiner is making an algorithmic based recommendation or a decision we need to know why. And, our employees had a hard time accepting the ML based recommendation without knowing the why. So, we had to go back and rework that, and say how do we surface the why in the context of the recommendation and that got people over the hump. So I think it is a super important point where, as these algorithms get more and more sophisticated, our human brains, the way we interpret it, is we still need the why. >> Yeah, so you're trying to white box that, is what you're saying, which again is not easy. I often use the example of, a computer can tell me if I'm looking at a dog, or I joke Silicone Valley if you watch Silicone Valley >> Yeah yeah yeah, >> Hot dog or not hot dog. >> Hot dog, exactly. >> But, try to explain how you know it's a dog, it's hard >> It is challenging. >> To do that. >> Right. >> Especially if you think about data scientists, they are incredibly cerebral and way smarter than me and, they often have a hard time simplifying it enough where its consumable if you will. So, it is a challenge and I think, you know, it's something that'll evolve as we start to use more of it cause we'll just have to figure it out as an industry. >> I want to ask you about, one of the things that we're hearing so much about this conference is the neat things that you're doing around eradicating employee pain points and taking care of all those onerous, annoying, tedious tasks that we have to do, the filling out of paperwork and all of that sort of thing. What are sort of the next things you're thinking about, the other parts of the work day that are annoying for all of us when you sort of think ahead to the product lineup? >> I think, one of the things we do is figure out where you are and you know, digital transformation, right, is great, but it has so many different meanings depending on your company or your industry. So what we did internally is we actually gave definition and an answer to the question of how digital are you? So we take every process and a collection of processes to a department and bubble it up and so on forth, and we rate every process on how fast it is, how intelligent is, which is a measure of machine learning, and what's the experience we're delivering. And taking those three measures, we're able to come up with a score and more than anything it gave us a common language around the enterprise to say, how do we move this from a score of 50 to 70, how do we move this from a 60 to a 90, and which processes are most important to move first, second and third, right, and without that it gets really hard because digital transformation can just feel like this abstract concept and as business leaders, we do better when we have measurement. And once we have a number and a target and a goal, it's easier to get people aligned to that. So, that's been helpful for us as well on a change management aspect. >> So true. Coach K, you guys always have great outside guests come in and speak at your CIO Decisions Conference, I mean Robert Gates is one that, you know, I mean as much as you've accomplished in your life you haven't accomplished nearly as much as that guy. >> Yeah. >> Very humbling. Coach K was your, one of your guests this week, you host that event. >> I do. >> Share with us some of the, some of the learnings from Coach K. >> We had Coach K, Duke's basketball coach, I would argue best coach, best basketball coach >> I'm a Tarheel. >> Sorry, Tarheel here. >> Yeah exactly, Dean Smith. >> We had a couple in the audience- >> He said he's no Dean Smith the other day, (Rebecca laughs) well you know I don't know. >> And I am a college hoops junkie so for me, it was a massive treat. I just wanted to talk to him about so many games and things like that. But he, he really gave a great talk about just how to be a better leader, how to constantly be learning and applying yourself. I mean he's 71 years old and how he needs, he talked about how he had to reinvent himself at least ten times, he's been coaching for 42 years. To meet the players where they are, and changing himself. And every season, the day after the season ends, having a meeting with his managers saying, what do we need to change? And it could be they just won the national championship. So, never resting on his laurels, constantly learning, and he had really interesting anecdotes about when he coached the U.S. Olympic team, and the difference of 18-year-olds right out of high school versus these are the superstars of the NBA, massive egos, and one of the interesting things, he said so many interesting things I could keep going on but just, you know, he said don't leave your ego at the door. Bring your ego, cause that what makes you great. I need you to have that ego Kobe when you're taking that last second shot cause that's what makes you, you. But, also what he spent a lot of time is getting them aligned on values. Here's the core values that which we are going to operate as a team and that are going to allow us to be successful. And I think that leadership lesson applies to any team. He applied it in a very difficult environment while millions of people are watching but, and he talked about how he took that collection of individuals and made them a unit, and that was super powerful. >> Yeah, he coached the first dream team which was Magic, >> Yeah I think he's coached four or five, and >> and I think Byrd might have been hurt but he played, >> yeah. And how he would just >> and Jordan I mean that, try and bring that eclectic mix together. >> And then to hear, have someone be so, you know, I've done all these things, and then be articulate enough to be able to say, and this is what I did >> Yeah and just super humble >> this is how I brought out the best in people. >> Super humble and just, again, constant learning right, I mean John our CEO talks about be a learning animal. I think Coach K embodied that in spades. >> West Point grad too, right, with a lot of discipline >> Yeah. >> That's right, yeah, yeah. >> in his background and >> for sure, >> and it's really inspirational. >> And then he talked about that, that's where he learned a lot of his leadership lessons. >> Really, yeah? >> At West Point. >> Well, Chris it's been so fun talking to you we could, maybe we should get Coach K on with you. A little like, Mike Krzyzewski, yeah >> That would be a treat for me, you and me could talk about Duke Tarheels. >> Yeah, well okay, alright, if you insist. >> We could bring John Wooden into the greatest coaches ever conversation in fairness >> We could, we could. >> to the wizard of Westwood I mean. >> Cool, well thank you. >> Chris, thanks again for coming on. I'm Rebecca Knight for Dave Vellante. We will have more from theCUBE's live coverage of ServiceNow Knowledge '18 coming up just after this. (techno music)

Published Date : May 10 2018

SUMMARY :

Brought to you by ServiceNow. he is the CIO of ServiceNow. and that change needs to be easy. I feel like the CIO role is evolving, and we've It doesn't go away. the role changing and where do you see it evolving to? and the need for businesses to transform and it's now. one of the key topics was, you know, and how are you becoming a business leader? and the same with the business goals and objectives. And show how a change in one flows and phones and all that, that has to be rock solid. I think is going to materially transform how we operate And, I mean, IT systems continue to get more complex. machine intelligence, going to make that and that got people over the hump. or I joke Silicone Valley if you So, it is a challenge and I think, you know, for all of us when you sort of of 50 to 70, how do we move this I mean Robert Gates is one that, you know, you host that event. some of the learnings from Coach K. He said he's no Dean Smith the other day, and that are going to allow us to be successful. And how he would just and Jordan I mean I think Coach K embodied that in spades. he learned a lot of his leadership lessons. Well, Chris it's been so fun talking to you you and me could talk about Duke Tarheels. of ServiceNow Knowledge '18 coming up just after this.

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Steven Webster, asensei | Sports Data {Silicon Valley} 2018


 

(spirited music) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We are in the Palo Alto Studios for a CUBE Conversation. Part of our Western Digital Data Makes Possible Series, really looking at a lot of cool applications. At the end of the day, data's underneath everything. There's infrastructure and storage that's holding that, but it's much more exciting to talk about the applications. We're excited to have somebody who's kind of on the cutting edge of a next chapter of something you're probably familiar with. He's Steven Webster, and he is the founder and CEO of Asensei. Steven, great to see you. >> Likewise, likewise. >> So, you guys are taking, I think everyone's familiar with Fitbits, as probably one of the earliest iterations of a biometric feedback, for getting more steps. At the end of the day, get more steps. And you guys are really taking it to the next level, which is, I think you call it connected coaching, so I wondered if you could give everyone a quick overview, and then we'll dig into it a little bit. >> Yeah, I think we're all very familiar now with connected fitness in hindsight, as a category that appeared and emerged, as, like you say, first it was activity trackers. We saw those trackers primarily move into smartwatches, and the category's got life in it, life in it left. I see companies like Flywheel and Peloton, we all know Peloton now. >> [Jeff] Right. >> We're starting to make the fitness equipment itself, the treadmill, the bike, connected. So, there's plenty of growth in that category. But our view is that tracking isn't teaching, and counting and cheering isn't coaching. And so we see this opportunity for this new category that's emerging alongside connected fitness, and that's what we call connected coaching. >> Connected coaching. So the biggest word, obviously, instead of fitness tracker, to the connected coaching, is coaching. >> Yeah. >> So, you guys really think that the coaching piece of it is core. And are you targeting high-end athletes, or is this for the person that just wants to take a step up from their fitness tracker? Where in the coaching spectrum are you guys targeting? >> I saw your shoe dog, Phil Knight, founder of Nike, a book on the shelf behind you there, and his co-founder, Bill Bowerman, has a great quote that's immortalized in Nike offices and stores around the world: "If you have a body, you're an athlete." So, that's how we think about our audience. Our customer base is anyone that wants to unlock their athletic potential. I think if you look at elite sports, and elite athletes, and Olympic athletes, they've had access to this kind of technology going back to the Sydney Olympics, so we're really trying to consumerize that technology and make it available to the people that want to be those athletes, but aren't those athletes yet. You might call it the weekend warrior, or just the committed athlete, that would identify, identify themselves according to a sport that they play. >> So, there's different parts of coaching, right? One, is kind of knowing the techniques, so that you've got the best practices by which to try to practice. >> [Steven] Yep. >> And then there's actually coaching to those techniques, so people practice, right? Practice doesn't make perfect. It's perfect practice that makes perfect. >> [Steven] You stole our line, which we stole from someone else. >> So, what are you doing? How do you observe the athlete? How do you communicate with the athlete? How do you make course corrections to the athlete to move it from simply tracking to coaching? >> [Steven] I mean, it starts with, you have to see everything and miss nothing. So, you need to have eyes on the athlete, and there's really two ways we think you can do that. One is, you're using cameras and computer vision. I think most of us are familiar with technologies like Microsoft Connect, where an external camera can allow you to see the skeleton and the biomechanics of the athlete. And that's a big thing for us. We talk about the from to being from just measuring biometrics: how's your heart rate, how much exertion are you making, how much power are you laying down. We need to move from biometrics to biomechanics, and that means looking at technique, and posture, and movement, and timing. So, we're all familiar with cameras, but we think the more important innovation is the emergence of smart clothing, or smart apparel, and the ability to take sensors that would have been discrete, hard components, and infuse those sensors into smart apparel. We've actually created a reference design for a motion capture sensor, and a network of those sensors infused in your apparel allows us to recover your skeleton, but as easily as pulling on a shirt or shorts. >> [Jeff] So you've actually come up with a reference design. So, obviously, begs a question: you're not working with any one particular apparel manufacturer. You really want to come up with a standard and publish the standard by which anyone could really define, capture, and record body movements, and to convert those movements from the clothing into a model. >> No, that's exactly it. We have no desire to be in the apparel industry. We have no desire to unseat Nike, Adidas, or Under Armour. We're actually licensing our technology royalty-free. We just want to accelerate the adoption of smart apparel. And I think the thing about smart apparel is, no one's going to walk into Niketown and say, "Where's the smart apparel department? "I don't want dumb apparel anymore." There needs to be a compelling reason to buy digitally enhanced apparel, and we think one of the most compelling reasons to buy that is so that we can be coached in the sport of our choice. >> [Jeff] So, then you're starting out with rowing, I believe, is your first sport, right? >> [Steven] That's correct, yeah. >> And so the other really important piece of it, is if people don't have smart apparel, or the smart apparel's not there yet, or maybe when they have smart apparel, there's a lot of opportunities to bring in other data sources beyond just that single set. >> [Steven] And that's absolutely key. When I think about biomechanics, that's what goes in, but there's also what comes out. Good form isn't just aesthetic. Good form is in any given sport. Good form and good technique is about organizing yourself so that you perform most efficiently and perform most effectively. Yeah, so you corrected a point in that we've chosen rowing as one of the sports. Rowing is all about technique. It's all about posture. It's all about form. If you've got two rowers who, essentially, have the same strength, the same cardiovascular capability, the one with the best technique will make the boat move faster. But for the sport of rowing, we also get a tremendous amount of telemetry coming off the rowing machine itself. A force curve weakened on every single pull of that handle. We can see how you're laying down that force, and we can read those force curves. We can look at them and tell things like, are you using your legs enough? Are you opening your back too late or too early? Are you dominant on your arms, where you shouldn't be? Is your technique breaking down at higher stroke rates, but is good at lower stroke rates? So it's a good place for us to start. We can take all of that knowledge and information and coach the athlete. And then when we get down to more marginal gains, we can start to look at their posture and form through that technology like smart apparel. >> There's the understanding what they're doing, and understanding the effort relative to best practices, but there's also, within their journey. Maybe today, they're working on cardio, and tomorrow, they're working on form. The next day, they're working on sprints. So the actual best practices in coaching a sport or particular activity, how are you addressing that? How are you bringing in that expertise beyond just the biometric information? >> [Steven] So yeah, we don't think technology is replacing coaches. We just think that coaches that use technology will replace coaches that don't. It's not an algorithm that's trying to coach you. We're taking the knowledge and the expertise of world-class coaches in the sport, that athletes want to follow, and we're taking that coaching, and essentially, think of it as putting it into a learning management system. And then for any given athlete, Just think of it the way a coach coaches. If you walked into a rowing club, I don't know if you've ever rowed before or not, but a coach will look at you, they'll sit you on a rowing machine or sit you on a boat, and just look at you and decide, what's the one next thing that I'm going to teach you that's going to make you better? And really, that's the art of coaching right there. It's looking for that next improvement, that next marginal gain. It's not just about being able to look at the athlete, but then decide where's the improvement that we want to coach the athlete? And then the whole sports psychology of, how do you coach his improvements? >> Because there's the whole hammer versus carrot. That's another thing. You need to learn how the individual athlete responds, what types of things do they respond better to? Do they like to get yelled? Do they like to be encouraged? Did they like it at the beginning? Did they like it at the end? So, do you guys incorporate some of these softer coaching techniques into the application? >> Our team have all coached sport at university-level typically. We care a lot and we think a lot about the role of the coach. The coach's job is to attach technique to the athlete's body. It's to take what's in your head and what you've seen done before, and give that to the athlete, so absolutely, we're thinking about how do you establish the correct coaching cues. How do you positively reinforce, not just negatively reinforce? Is that person a kinesthetic learner, where they need to feel how to do it correctly? Are they a more visual learner, where they respond better to metaphor? Now, one of the really interesting things with a digital coach is the more people we teach, the better we can get at teaching, because we can start to use some of the techniques of enlarged datasets, and looking at what's working and what's not working. In fact, it's the same technology we would use in marketing or advertising, to segment an audience, and target content. >> Right. >> [Steven] We can take that same technology and apply it how we think about coaching sports. >> So is your initial target to help active coaches that are looking for an edge? Or are you trying to go for the weakend warrior, if you will? Where's your initial market? >> For rowing, we've actually zeroed in on three athletes, where we have a point of view that Asensei can be of help. I'll tell you who the three are. First, is the high school athlete who wants to go to college and get recruited. So, we're selling to the parent as much as we're selling to the student. >> [Jeff] That's an easy one. Just show up and be tall. >> Well, show up, be tall, but also what's your 2k time? How fast can you row 2,000 meters? That's a pretty important benchmark. So for that high school athlete, that's a very specific audience where we're bringing very specific coaches. In fact, the coach that we're launching with to that market, his story is one of, high school to college to national team, and he just came back from the Olympics in Rio. The second athlete that we're looking at is the person who never wants to go on the water, but likes that indoor rowing machine, so it's that CrossFit athlete or it's an indoor rower. And again, we have a very specific coach who coaches indoor rowing. And then the third target customer is-- >> What's that person's motivation, just to get a better time? >> Interesting, in that community, there's a lot of competitiveness, so yeah, it's about I want to get good at this, I want to get better at this. Maybe enter local competitions, either inside your gym or your box. This weekend, in Boston, we have just had one of the largest indoor world, it was the World Indoor Rowing Championships, the C.R.A.S.H B's. There's these huge indoor rowing competitions, so that's a very competitive athlete. And then finally we have, what would be the master's rower or the person for whom rowing is. There's lots of people who don't identify themselves as a rower, but they'll get on a rowing machine two or three times a week, whether it's in their gym or whether it's at home. Your focus is strength, conditioning, working out, but staying injury-free, and just fun and fitness. I think Palaton validated the existence of that market, and we see a lot of people wanting to do that with a rowing machine, and not with a bike. >> I think most of these people will or will not have access to a primary coach, and this augments it, or does this become their primary coach based on where they are in their athletic life? >> [Steven] I think it's both, and certainly, and certainly, we're able to support both. I think when you're that high school rower that wants to make college, you're probably a member of either your school rowing crew or you're a member of a club, but you spend a tremendous amount of time on an erg, the indoor rowing machine, and your practice is unsupervised. Even though you know what you should be doing, there's nobody there in that moment watching you log those 10,000 meters. One of our advisors is, actually, a two-times Olympic world medalist from team Great Britain, Helen Glover. And Helen, I have a great quote from Helen, where she calculated for the Rio Olympics, in the final of the Rio Olympics, every stroke she took in the final, she'd taken 16,000 strokes in practice, which talks to the importance of the quality of that practice, and making sure it's supervised. >> The bigger take on the old 10,000 reps, right? 16,000 per stroke. >> Right? >> Kind of looking forward, right, what were some of the biggest challenges you had to overcome? And then, as you looked forward, right, since the beginning, were ubiquitous, and there's 3D goggles, and there'll be outside-in centers for that whole world. How do you see this world evolving in the immediate short-term for you guys to have success, and then, just down the road a year or two? >> That's a really good question. I think in the short-term, I think it's incumbent on us to just stay really focused in a single community, and get that product right for them. It's more about introducing people to the idea. This is a category creation exercise, so we need to go through that adoption curve of find the early adopters, find the early majority, and before we take that technology anywhere towards our mass market, we need to nail the experience for that early majority. And we think that it's largely going to be in the sport of rowing or with rowers. The cross participation studies in rowing are pretty strong for other sports. Typically, somewhere between 60-80% of rowers weight lift, bike, run, and take part in yoga, whether yoga for mobility and flexibility. There's immediately adjacent markets available to us where the rowers are already in those markets. We're going to stick there for awhile, and really just nail the experience down. >> And is it a big reach to go from tracking to coaching? I mean, these people are all super data focused, right? The beauty of rowing, as you mentioned, it's all about your 2k period. It's one single metric. And they're running, and they're biking, and they're doing all kinds of data-based things, but you're trying to get them to think really more on terms of the coaching versus just the tracking. Has that been hard for them to accept? Do you have any kind of feel for the adoption or the other thing, I would imagine, I spent all this money for these expensive clothing. Is this a killer app that I can now justify having? >> Right, right, right. >> Maybe fancier connected clothes, rather than just simply tracking my time? >> I mean, I think, talking about pricing in the first instance. What we're finding with consumers that we've been testing with, is if you can compare the price of a shirt to the price of shirt without sensors, it's really the wrong value proposition. The question we ask is, How much money are you spending on your CrossFit box membership or your Equinox gym membership? The cost of a personal trainer is easily upwards of $75-100 for an hour. Now, we can give you 24/7 access to that personal coaching. You'll pay the same in a year as you would pay in an hour for coaching. I think for price, it's someone who's already thinking about paying for personal coaching and personal training, that's really where the pricing market is. >> That's interesting, we see that time and time again. We did an interview with Knightscope, and they have security robots, and basically, it's the same thing. They're priced comparisons was the hourly rate for a human counterpart, or we can give it to you for a much less hourly rate. And now, you don't just get it for an hour, you get it for as long as you want to use it. Well, it's exciting times. You guys in the market in terms of when you're going G80? Have a feel for-- >> Any minute now. >> Any minute now? >> We have people using the product, giving us feedback. My phone's switched off. That's the quietest it's been for awhile. But we have people using the product right now, giving us feedback on the product. We're really excited. One in three people, when we ask, the metric that matters for us is net promoter score. How likely would someone recommend asensei to someone else? One in three athletes are giving us a 10 out of 10, so we feel really good about the experience. Now, we're just focused on making sure we have enough content in place from our coaches. General availability is anytime soon. >> [Jeff] Good. Very exciting. >> Yeah, we're excited. >> Thanks for taking a few minutes of your day, and I actually know some rowers, so we'll have to look into the application. >> Right, introduce us. Good stuff. >> He's Steven Webster, I'm Jeff Frick. You're watching theCUBE. We're having a CUBE Conversation in our Palo Alto Studios. Thanks for watching. (bright music)

Published Date : Mar 21 2018

SUMMARY :

and he is the founder and CEO of Asensei. And you guys are really taking it to the next level, and the category's got life in it, life in it left. And so we see this opportunity for this new category So the biggest word, obviously, instead of fitness tracker, Where in the coaching spectrum are you guys targeting? a book on the shelf behind you there, One, is kind of knowing the techniques, to those techniques, so people practice, right? [Steven] You stole our line, and the ability to take sensors that would have been and publish the standard by which is so that we can be coached in the sport of our choice. And so the other really important piece of it, But for the sport of rowing, we also get a tremendous amount There's the understanding what they're doing, that's going to make you better? So, do you guys incorporate some of these softer coaching and give that to the athlete, and apply it how we think about coaching sports. First, is the high school athlete [Jeff] That's an easy one. In fact, the coach that we're launching with to that market, or the person for whom rowing is. in the final of the Rio Olympics, The bigger take on the old 10,000 reps, right? in the immediate short-term for you guys to have success, and really just nail the experience down. And is it a big reach to go from tracking to coaching? Now, we can give you 24/7 access to that personal coaching. for a human counterpart, or we can give it to you the metric that matters for us is net promoter score. [Jeff] Good. and I actually know some rowers, Good stuff. We're having a CUBE Conversation in our Palo Alto Studios.

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Hitesh Sheth, Vectra | CUBE Conversation, Feb 2018


 

(triumphant music) >> Hello and welcome to a special CUBE Conversation, exclusive content here in Palo Alto Studios, I'm John Furrier, the co-founder of SiliconANGLE Media, and cohost of theCUBE. We have exclusive news with Vectra Networks announcing new funding, new R and D facility. I'm here with the president and CEO, Hitesh Sheth, who's the president and CEO. Welcome to theCUBE Conversation, congratulations. >> Thank you John. glad to be here. >> So you've got some big news. >> Vectra Networks, you guys doing some pretty cool stuff with AI and cyber. >> Correct. >> But it's not just software, it's really kind of changing the game with IT operations, the entire Cloud movement, DevOps automations, all impacting the enterprise. >> Hitesh: Yes. >> And other companies. >> Hitesh: Yes. >> Before we dig into some of the exclusive news you guys have, take a minute to talk about, what is Vectra? What is Vectra Networks? >> Maybe it'd be useful to give you context of the way we see the security industry evolving. And if you think about the last 20 years, and if you were to speak to the security person in an enterprise, their primary concern would be around access banishment, who gets in, who gets out. The firewall industry was born to solve this problem. And you know, in many ways its been a gift that's kept on giving. You know, you've got companies with multi-billion dollar evaluations, Palo Alto, Checkpoint, Fortinet, you know, piece of Cisco, etc, right? There's roughly about 40 billion dollars on the market cap sitting in this industry today. Now, if you go back to the same enterprise today, and you look at the next 5-10 years and you ask them, "What is the number one issue that you care about?" Right? It's no longer who's getting in and out from an access policy standpoint, it's all about threat, management, and mitigation. So, the threat's signal is now the most important commodity inside the enterprise and the pervasive challenge for the customer, the enterprise customer, is, "How do I get my hands on this threat's signal in the most efficient way possible?" And we, at Vectra, are all about automating and helping our customers hunt for advanced cyber attacks using artificial intelligence. >> Where did you get the idea of AI's automation? I've always said in theCUBE, "Oh, AI's a bunch of b.s. Because real true AI is there. But again, AI is really kind of growing out of machine learning. >> Hitesh: Right >> Automating, and so this kind of loose definition but certainly is very sexy right now. People love AI. >> Hitesh: Correct. >> I mean, AI is awesome. But at a practical matter, it seems to be very important for good things, also for the enterprise, where'd you get the idea for using AI for cyber? >> Well, you know, I would go back to in my journey intersection with the notion of using AI for cyber security, Back in about 2010, there are major cyber events reported in the press. At that time, I was in the networking sector and in the networking sector, we all looked at it and said, "You know, we can do something about this," and being good networking company is, we thought we would build chips that would do DPI and do packet inspection. It was, too be blunt, old school thinking, okay? Fast forward to 2012 and I was sitting with Vinod Khosla of Khosla ventures and we were talking about the notion of security. How can you transform security dramatically >> Mhmm. >> Hitesh: And this is when we started talking about using artificial intelligence. It was very nascent and frankly, if you went up and down Sand Hill at that time, you know, most of the venture companies would have- and they did, because we were raising money at the time, they would look at us and said, "You guys are nuts. This is just not going to happen." You know, it's very experimental, it would take forever to come to pass. But that's usually the best time to go and build a new business and take a risk, right? And we said, you know what, AI has matured enough. >> By the way, at that time, they were also poo-pooing the Cloud. >> Absolutely. >> Amazon will be nothing. >> Yeah, exactly. Generally, a good time, a good time to go and do something revolutionary. But, here are the other things to know. Not only had the technology around AI and its applicability had advanced enough, but two other things have happened at the same time. The cost of compute had changed dramatically. The cost of storage had changed dramatically. And ultimately, if AI is going to be efficient, not only is the software got to be good, but the computer's got to be valid as well. Storage got to be valid as well. These three things were really coming together on their timeframe. >> Well, what's interesting, let's dig into that for a second because knowing what the scene was with networking at the time, you said, "old thinking," but the state of the art, you know, In the 90's and 2000's was, hardware got advanced, so you had wire speed capability. So, you can do some cool things like, you know, like still move through the network and do some inspection. >> Hitesh: Correct. >> And you said DPACK is recommended But that's the concept of looking at the data. >> Hitesh: That's correct. >> John: So, okay, now they might have been narrow view so now you take it back >> Hitesh: Yes. >> With AI, am I getting it right? You're thinking of zooming out saying, okay, >> Hitesh: A couple of things. >> You find that notion of inspection of data >> Right. >> With more storage, more compute >> But it comes down to also, you know, what data are you looking at, right? When you had wire spec in booties, you would apply your classic signature based approaches. So you could deal with known attacks, right? What is really happening, like 2011-2012 onwards is, the attack landscape is more stored dramatically. It changes so fast that the approach of just dealing with the known was never going to be enough. >> Yeah. >> So, how do you deal with the unknown? You need software that can learn. You need software that can adapt on the fly. And this is where machine learning comes into play. >> You got to assume everyone's a bad actor at that point. >> You got to assume everybody has been infiltrated in some way or fashion. >> Well, the Cloud, certainly, you guys were on the front end, kind of probably thought we're crazy with other VC's, you mentioned that. But at the time, I do remember when Cloud was kind of looked at as just nonsense. >> Yeah >> But if you then go look at what that impact has been, you're in the right side of history, congratulations,. What really happened? When was the C change? You mentioned 2012, was that because of the overall threat landscape change? Was that because of open source? Was that because of new state sponsored threats? >> Hitesh: Yeah. A couple things. >> What was the key flash point? >> Hitesh: A couple of things. We saw, at the time, that there was an emerging class of threats in the marketplace being sponsored by either state actors but we also saw that there was significant funding going into creating organized entities that were going to go and hack large enterprises. >> John: Not state sponsored directly, state sponsored, kind of, you know, >> On the side. >> Yeah, on the side. >> Let's call them, "For Profit Entities," okay? >> Sounds like Equifax to me. (laughter) >> That's a good point. And we saw that happening. Trend two was, there were enough public on the record, hacks are getting reported, right? Sony would be a really good example at the time. But just as fundamentally, it's not just enough that there's a market. The technology has got to be sufficiently ready to be transformative, and this is the whole point around what we saw in compute and storage and the fact that there was enough advancement in the machine learning itself that it was worth taking a risk and experimenting to see what's going to happen. And in our journey, I can tell you, it took us about 18 months, really, to kind of tune what we were doing because we tried and we failed for 18 months before we kind of came to an answer that was actually going to gel and work for the customers. >> And what's interesting is having a pattern oriented to look for the unknown >> Hitesh: Yeah >> Because it's, you know, in the old days was, "Hey, here's a bunch of threats, look for'em and be prepared to deploy." Here, you got to deal with a couple of the unknown potentially attack. But also I would say that we've observed the surface areas increased. So, you mention Checkpoint in these firewalls. >> Hitesh: Yes. Absolutely. >> Those are perimeter based security models. So you got a perimeter based environment. >> Hitesh: Correct. >> Everyday. >> Hitesh: And you got IOT. >> IOT. So it's a hacker's dream. >> It's absolutely. The way I like to think about it is you got an end by end probatational issue. You got an infinite possible, if you're a hacker, you're absolutely right, it's Nirvana. You've got endless opportunities to break into the enterprise today. It's just going to get better. It's absolutely going to get better for them. >> John: Well, let's get to the hard news. You guys have an announcement. You've got new funding >> Hitesh: Yeah. >> And an R and D facility, in your words, what is the announcement? Share the data. >> We're really excited to announced that we have raised closed a round of 36 million dollars, Series D funding, it's being led by Atlantic Bridge, they are a growth fund, and they've got significant European roots, and in addition to Atlantic Bridge, we're bringing on board two new investors, two additional investors. The Ireland's Strategic Investment Fund, number one, effectively the sovereign fund of Ireland, and then secondly, Nissho Electronics of Japan. This is going to bring our double funding to 123 millions dollars, today. What we're going to be using this funds for is to find things with. One is the classic expansion of sales and marketing. I think we've had very significance success in our business. From 2016 to 2017, our business grew 181% year end year, subscription based, all subscription revenue. So, we're going to use this, this new fuel, to drive business growth, but just as important, we're going to drive our needs growth significantly. And as part of this new funding, we are opening up a brand new R & D center in Dublin, Ireland. This is our fourth R & D center. We've got one here in San Jose, California. We've got one in Austin, Texas, Cambridge, Massachusetts, and so this is number four. >> John: So, you hired some really smart people. How many engineers do you guys have? >> So, we are about a 140% company, roughly half the company is in R and D. >> I see a lot of engineering going on and you need it, too. So let's talk about competitors. Darktrace is out there, heavily funded companies, >> Hitesh: Yes. >> Their competitor, how do you compare against the competition and why do you think you'll be winning? >> I can tell you, statistically, whether it is Darktrace or we run into barcoding with Cisco as well. We win into large enterprise. We win 90% of the time. [Overlapping Conversation] >> It's actually correct. And I'll describe to you why is it that we win. We look at people like Darktrace and there are other smaller players in the marketplace as well And I'll tell you one thing fundamentally true about the competitive landscape and that differentiates us. AI is on everybody's lips nowadays, right? As you pointed out. But what is generally true for most companies doing AI and I think this is true for our competition as well, it tends to be human augmented AI. It's not really AI, right? This is sort of like the Wizard of Oz, you know, somebody behind the curtain actually doing the work and that ultimately does not deliver the promise of AI and automation to the customer. The one thing we have been very - >> John: They're using AI to cover up essentially manual business models for all people added, is that what you're saying? >> Hitesh: That's correct. Effectively, it's still people oriented answer for the customer and if AI is really true, then automation has got to be the forefront and if automation is really going to be true, then the user experience of the software has got to be second to none >> John: So, I know Mike Lynch is on the board of that company, Darktrace, he was indicted or charged with fraud to front for HP for billions of dollars. So, is he involved? Is he a figurehead? How does he relate to that? >> I think you should talk to Mike. You should put him in this chair and have this conversation. I recommend it, that would be great. >> John: I don't think he'd come on. >> But my understanding is that he has a very heavy hand in the reign of Darktrace. Darktrace, if you go to their website, so this is all public data, if you look at their management chain, this is all Autonomy people. What that means, respect to how Autonomy was running and how Vectra is being run, is for them to speak about, what I can tell you is that, when we meet them competitively, we meet other competitors. >> John: I mean, if I'm a customer, I would have a lot of fear and certainty in doubt to work with an Autonomy led because they had such a head fake with the HP deal and how they handled that software and just software stack wasn't that great either. So, I mean, I would be concerned about that. [Overlapping Discussion] >> History may be repeating itself. >> Okay, so you won't answer the question. Okay, well, let's get back to Vectra. Some interesting, notable things I discovered was, you guys had been observing what's been reported in the press with the Olympics. >> Hitesh: Correct. >> You have information and insight on what's going on with the Olympics. Apparently, they were hacked. Obviously, it's in Korea, so it's Asia, there's no DNS that doesn't have certificates that have been hacked or whatever so, I mean, what's going on in South Korea with the Olympics? What's the impact? What's the data? >> Hitesh: Well, I'm going to think, what is really remarkable is that, despite the history of different kinds of attacks, Equifax, what have you, nation state events, political elections getting impacted and so forth, once again, a very public event. We have had a massive breach and they've been able to infiltrate their systems and the remarkable thing is they- >> John: There's proof on this? >> There's proof on this. This is in the press. There's no secret data in our part, which is, this very much out there, in the public arena, they have been sitting in the infrastructure of the Olympics, in Korea, for months and the remarkable thing is, why were they able to get in? Well, I can tell you, I'm pretty sure that the approach to security that these people took is no different than the approach of security most enterprises take. Right? The thing that should really concern us all is that they chose to attack, they chose to infiltrate, but they actually paused before really fundamentally damaging the infrastructure. It goes to show you that they are demonstrating control. I can come in. I can do what I want for as long as I want. I can stop when I want. >> John: They were undetected. >> They were undetected. Absolutely. >> John: And they realized that these attacks reflected that. >> Absolutely. And given the fact there seems to be a recent trend of going after public events, we have many other such public events coming to bear. >> How would you guys have helped? >> The way we would help them, most fundamentally is that, look, here's the fundamental reality, there are, as we've discussed just a second ago, there are infinite options as to break in, into the infrastructure, but once you're in, right? For people like you and I, who are networking people, you're on our turf and the things you can do inside the network are actually very visible. They're very visible, right? It's like somebody breaking through your door, once they get in, their footprints are everywhere, right? And if you had the ability to get your hands on those footprints, right? You can actually contain the attack at- as close to real time as possible, before any real damage is done. >> But then we're going to see where the action is, no doubt about it, you can actually roll that data up and that's where the computer- >> And then you could apply machine learning. You can extract the data, look at the network, extract the right data out of it, apply machine learning or AI and you can get your hands on the attack well before it does any real damage. >> John: And so to your point, if I get this right, if I hear ya properly, computers are much stronger now. >> Hitesh: Correct. >> And with software and AI techniques, you can move on this data quickly. >> Hitesh: Correct. But you have got to, you've got to have a fundamental mindset shift, which is, "I'm not in the business of stopping attacks anymore, I should try, but I recognize I will be breached every single time. So, then, I better have the mechanisms and the means to catch the attack once it's in my environment." And that mindset shift is not pervasive. I am 1,000% sure at the Olympics that people designed the security search have said, "We can stop this stuff, don't worry about it." You had that taught differently that would not be in this position today. >> This is the problem. In all society, whether it's a shooting at a school or Olympic hack event, the role of data is super critical. That's the focus, thanks for coming on and sharing the exclusive news at theCUBE with exclusive coverage of the breaking news of the new round of funding for Vectra Networks. I'm John Furrier. Thanks for watching. >> Hitesh: Thank you, John. (triumphant music)

Published Date : Feb 21 2018

SUMMARY :

I'm John Furrier, the co-founder of SiliconANGLE Media, Thank you John. Vectra Networks, you guys doing some pretty cool stuff it's really kind of changing the game with IT operations, "What is the number one issue that you care about?" Where did you get the idea of AI's automation? Automating, and so this kind of loose definition But at a practical matter, it seems to be very important and in the networking sector, we all looked at it And we said, you know what, AI has matured enough. By the way, at that time, they were also poo-pooing but the computer's got to be valid as well. but the state of the art, you know, But that's the concept of looking at the data. But it comes down to also, you know, You need software that can adapt on the fly. You got to assume everybody has been infiltrated Well, the Cloud, certainly, you guys But if you then go look at what that impact has been, We saw, at the time, that there was an emerging class Sounds like Equifax to me. in the machine learning itself that it was worth taking a risk of the unknown potentially attack. So you got a perimeter based environment. So it's a hacker's dream. break into the enterprise today. John: Well, let's get to the hard news. Share the data. and in addition to Atlantic Bridge, we're bringing on John: So, you hired some really smart people. So, we are about a 140% company, roughly half the company I see a lot of engineering going on and you need it, too. we run into barcoding with Cisco as well. This is sort of like the Wizard of Oz, you know, and if automation is really going to be true, John: So, I know Mike Lynch is on the board I think you should talk to Mike. and how Vectra is being run, is for them to speak about, a lot of fear and certainty in doubt to work with an reported in the press with the Olympics. What's the impact? and the remarkable thing is they- the approach to security that these people took They were undetected. John: And they realized that And given the fact there seems to be You can actually contain the attack at- as close to You can extract the data, look at the network, John: And so to your point, if I get this right, And with software and AI techniques, you can I am 1,000% sure at the Olympics that people designed and sharing the exclusive news at theCUBE with Hitesh: Thank you, John.

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Data Science: Present and Future | IBM Data Science For All


 

>> Announcer: Live from New York City it's The Cube, covering IBM data science for all. Brought to you by IBM. (light digital music) >> Welcome back to data science for all. It's a whole new game. And it is a whole new game. >> Dave Vellante, John Walls here. We've got quite a distinguished panel. So it is a new game-- >> Well we're in the game, I'm just happy to be-- (both laugh) Have a swing at the pitch. >> Well let's what we have here. Five distinguished members of our panel. It'll take me a minute to get through the introductions, but believe me they're worth it. Jennifer Shin joins us. Jennifer's the founder of 8 Path Solutions, the director of the data science of Comcast and part of the faculty at UC Berkeley and NYU. Jennifer, nice to have you with us, we appreciate the time. Joe McKendrick an analyst and contributor of Forbes and ZDNet, Joe, thank you for being here at well. Another ZDNetter next to him, Dion Hinchcliffe, who is a vice president and principal analyst of Constellation Research and also contributes to ZDNet. Good to see you, sir. To the back row, but that doesn't mean anything about the quality of the participation here. Bob Hayes with a killer Batman shirt on by the way, which we'll get to explain in just a little bit. He runs the Business over Broadway. And Joe Caserta, who the founder of Caserta Concepts. Welcome to all of you. Thanks for taking the time to be with us. Jennifer, let me just begin with you. Obviously as a practitioner you're very involved in the industry, you're on the academic side as well. We mentioned Berkeley, NYU, steep experience. So I want you to kind of take your foot in both worlds and tell me about data science. I mean where do we stand now from those two perspectives? How have we evolved to where we are? And how would you describe, I guess the state of data science? >> Yeah so I think that's a really interesting question. There's a lot of changes happening. In part because data science has now become much more established, both in the academic side as well as in industry. So now you see some of the bigger problems coming out. People have managed to have data pipelines set up. But now there are these questions about models and accuracy and data integration. So the really cool stuff from the data science standpoint. We get to get really into the details of the data. And I think on the academic side you now see undergraduate programs, not just graduate programs, but undergraduate programs being involved. UC Berkeley just did a big initiative that they're going to offer data science to undergrads. So that's a huge news for the university. So I think there's a lot of interest from the academic side to continue data science as a major, as a field. But I think in industry one of the difficulties you're now having is businesses are now asking that question of ROI, right? What do I actually get in return in the initial years? So I think there's a lot of work to be done and just a lot of opportunity. It's great because people now understand better with data sciences, but I think data sciences have to really think about that seriously and take it seriously and really think about how am I actually getting a return, or adding a value to the business? >> And there's lot to be said is there not, just in terms of increasing the workforce, the acumen, the training that's required now. It's a still relatively new discipline. So is there a shortage issue? Or is there just a great need? Is the opportunity there? I mean how would you look at that? >> Well I always think there's opportunity to be smart. If you can be smarter, you know it's always better. It gives you advantages in the workplace, it gets you an advantage in academia. The question is, can you actually do the work? The work's really hard, right? You have to learn all these different disciplines, you have to be able to technically understand data. Then you have to understand it conceptually. You have to be able to model with it, you have to be able to explain it. There's a lot of aspects that you're not going to pick up overnight. So I think part of it is endurance. Like are people going to feel motivated enough and dedicate enough time to it to get very good at that skill set. And also of course, you know in terms of industry, will there be enough interest in the long term that there will be a financial motivation. For people to keep staying in the field, right? So I think it's definitely a lot of opportunity. But that's always been there. Like I tell people I think of myself as a scientist and data science happens to be my day job. That's just the job title. But if you are a scientist and you work with data you'll always want to work with data. I think that's just an inherent need. It's kind of a compulsion, you just kind of can't help yourself, but dig a little bit deeper, ask the questions, you can't not think about it. So I think that will always exist. Whether or not it's an industry job in the way that we see it today, and like five years from now, or 10 years from now. I think that's something that's up for debate. >> So all of you have watched the evolution of data and how it effects organizations for a number of years now. If you go back to the days when data warehouse was king, we had a lot of promises about 360 degree views of the customer and how we were going to be more anticipatory in terms and more responsive. In many ways the decision support systems and the data warehousing world didn't live up to those promises. They solved other problems for sure. And so everybody was looking for big data to solve those problems. And they've begun to attack many of them. We talked earlier in The Cube today about fraud detection, it's gotten much, much better. Certainly retargeting of advertising has gotten better. But I wonder if you could comment, you know maybe start with Joe. As to the effect that data and data sciences had on organizations in terms of fulfilling that vision of a 360 degree view of customers and anticipating customer needs. >> So. Data warehousing, I wouldn't say failed. But I think it was unfinished in order to achieve what we need done today. At the time I think it did a pretty good job. I think it was the only place where we were able to collect data from all these different systems, have it in a single place for analytics. The big difference between what I think, between data warehousing and data science is data warehouses were primarily made for the consumer to human beings. To be able to have people look through some tool and be able to analyze data manually. That really doesn't work anymore, there's just too much data to do that. So that's why we need to build a science around it so that we can actually have machines actually doing the analytics for us. And I think that's the biggest stride in the evolution over the past couple of years, that now we're actually able to do that, right? It used to be very, you know you go back to when data warehouses started, you had to be a deep technologist in order to be able to collect the data, write the programs to clean the data. But now you're average causal IT person can do that. Right now I think we're back in data science where you have to be a fairly sophisticated programmer, analyst, scientist, statistician, engineer, in order to do what we need to do, in order to make machines actually understand the data. But I think part of the evolution, we're just in the forefront. We're going to see over the next, not even years, within the next year I think a lot of new innovation where the average person within business and definitely the average person within IT will be able to do as easily say, "What are my sales going to be next year?" As easy as it is to say, "What were my sales last year." Where now it's a big deal. Right now in order to do that you have to build some algorithms, you have to be a specialist on predictive analytics. And I think, you know as the tools mature, as people using data matures, and as the technology ecosystem for data matures, it's going to be easier and more accessible. >> So it's still too hard. (laughs) That's something-- >> Joe C.: Today it is yes. >> You've written about and talked about. >> Yeah no question about it. We see this citizen data scientist. You know we talked about the democratization of data science but the way we talk about analytics and warehousing and all the tools we had before, they generated a lot of insights and views on the information, but they didn't really give us the science part. And that's, I think that what's missing is the forming of the hypothesis, the closing of the loop of. We now have use of this data, but are are changing, are we thinking about it strategically? Are we learning from it and then feeding that back into the process. I think that's the big difference between data science and the analytics side. But, you know just like Google made search available to everyone, not just people who had highly specialized indexers or crawlers. Now we can have tools that make these capabilities available to anyone. You know going back to what Joe said I think the key thing is we now have tools that can look at all the data and ask all the questions. 'Cause we can't possibly do it all ourselves. Our organizations are increasingly awash in data. Which is the life blood of our organizations, but we're not using it, you know this a whole concept of dark data. And so I think the concept, or the promise of opening these tools up for everyone to be able to access those insights and activate them, I think that, you know, that's where it's headed. >> This is kind of where the T shirt comes in right? So Bob if you would, so you've got this Batman shirt on. We talked a little bit about it earlier, but it plays right into what Dion's talking about. About tools and, I don't want to spoil it, but you go ahead (laughs) and tell me about it. >> Right, so. Batman is a super hero, but he doesn't have any supernatural powers, right? He can't fly on his own, he can't become invisible on his own. But the thing is he has the utility belt and he has these tools he can use to help him solve problems. For example he as the bat ring when he's confronted with a building that he wants to get over, right? So he pulls it out and uses that. So as data professionals we have all these tools now that these vendors are making. We have IBM SPSS, we have data science experience. IMB Watson that these data pros can now use it as part of their utility belt and solve problems that they're confronted with. So if you''re ever confronted with like a Churn problem and you have somebody who has access to that data they can put that into IBM Watson, ask a question and it'll tell you what's the key driver of Churn. So it's not that you have to be a superhuman to be a data scientist, but these tools will help you solve certain problems and help your business go forward. >> Joe McKendrick, do you have a comment? >> Does that make the Batmobile the Watson? (everyone laughs) Analogy? >> I was just going to add that, you know all of the billionaires in the world today and none of them decided to become Batman yet. It's very disappointing. >> Yeah. (Joe laughs) >> Go ahead Joe. >> And I just want to add some thoughts to our discussion about what happened with data warehousing. I think it's important to point out as well that data warehousing, as it existed, was fairly successful but for larger companies. Data warehousing is a very expensive proposition it remains a expensive proposition. Something that's in the domain of the Fortune 500. But today's economy is based on a very entrepreneurial model. The Fortune 500s are out there of course it's ever shifting. But you have a lot of smaller companies a lot of people with start ups. You have people within divisions of larger companies that want to innovate and not be tied to the corporate balance sheet. They want to be able to go through, they want to innovate and experiment without having to go through finance and the finance department. So there's all these open source tools available. There's cloud resources as well as open source tools. Hadoop of course being a prime example where you can work with the data and experiment with the data and practice data science at a very low cost. >> Dion mentioned the C word, citizen data scientist last year at the panel. We had a conversation about that. And the data scientists on the panel generally were like, "Stop." Okay, we're not all of a sudden going to turn everybody into data scientists however, what we want to do is get people thinking about data, more focused on data, becoming a data driven organization. I mean as a data scientist I wonder if you could comment on that. >> Well I think so the other side of that is, you know there are also many people who maybe didn't, you know follow through with science, 'cause it's also expensive. A PhD takes a lot of time. And you know if you don't get funding it's a lot of money. And for very little security if you think about how hard it is to get a teaching job that's going to give you enough of a pay off to pay that back. Right, the time that you took off, the investment that you made. So I think the other side of that is by making data more accessible, you allow people who could have been great in science, have an opportunity to be great data scientists. And so I think for me the idea of citizen data scientist, that's where the opportunity is. I think in terms of democratizing data and making it available for everyone, I feel as though it's something similar to the way we didn't really know what KPIs were, maybe 20 years ago. People didn't use it as readily, didn't teach it in schools. I think maybe 10, 20 years from now, some of the things that we're building today from data science, hopefully more people will understand how to use these tools. They'll have a better understanding of working with data and what that means, and just data literacy right? Just being able to use these tools and be able to understand what data's saying and actually what it's not saying. Which is the thing that most people don't think about. But you can also say that data doesn't say anything. There's a lot of noise in it. There's too much noise to be able to say that there is a result. So I think that's the other side of it. So yeah I guess in terms for me, in terms of data a serious data scientist, I think it's a great idea to have that, right? But at the same time of course everyone kind of emphasized you don't want everyone out there going, "I can be a data scientist without education, "without statistics, without math," without understanding of how to implement the process. I've seen a lot of companies implement the same sort of process from 10, 20 years ago just on Hadoop instead of SQL. Right and it's very inefficient. And the only difference is that you can build more tables wrong than they could before. (everyone laughs) Which is I guess >> For less. it's an accomplishment and for less, it's cheaper, yeah. >> It is cheaper. >> Otherwise we're like I'm not a data scientist but I did stay at a Holiday Inn Express last night, right? >> Yeah. (panelists laugh) And there's like a little bit of pride that like they used 2,000, you know they used 2,000 computers to do it. Like a little bit of pride about that, but you know of course maybe not a great way to go. I think 20 years we couldn't do that, right? One computer was already an accomplishment to have that resource. So I think you have to think about the fact that if you're doing it wrong, you're going to just make that mistake bigger, which his also the other side of working with data. >> Sure, Bob. >> Yeah I have a comment about that. I've never liked the term citizen data scientist or citizen scientist. I get the point of it and I think employees within companies can help in the data analytics problem by maybe being a data collector or something. I mean I would never have just somebody become a scientist based on a few classes here she takes. It's like saying like, "Oh I'm going to be a citizen lawyer." And so you come to me with your legal problems, or a citizen surgeon. Like you need training to be good at something. You can't just be good at something just 'cause you want to be. >> John: Joe you wanted to say something too on that. >> Since we're in New York City I'd like to use the analogy of a real scientist versus a data scientist. So real scientist requires tools, right? And the tools are not new, like microscopes and a laboratory and a clean room. And these tools have evolved over years and years, and since we're in New York we could walk within a 10 block radius and buy any of those tools. It doesn't make us a scientist because we use those tools. I think with data, you know making, making the tools evolve and become easier to use, you know like Bob was saying, it doesn't make you a better data scientist, it just makes the data more accessible. You know we can go buy a microscope, we can go buy Hadoop, we can buy any kind of tool in a data ecosystem, but it doesn't really make you a scientist. I'm very involved in the NYU data science program and the Columbia data science program, like these kids are brilliant. You know these kids are not someone who is, you know just trying to run a day to day job, you know in corporate America. I think the people who are running the day to day job in corporate America are going to be the recipients of data science. Just like people who take drugs, right? As a result of a smart data scientist coming up with a formula that can help people, I think we're going to make it easier to distribute the data that can help people with all the new tools. But it doesn't really make it, you know the access to the data and tools available doesn't really make you a better data scientist. Without, like Bob was saying, without better training and education. >> So how-- I'm sorry, how do you then, if it's not for everybody, but yet I'm the user at the end of the day at my company and I've got these reams of data before me, how do you make it make better sense to me then? So that's where machine learning comes in or artificial intelligence and all this stuff. So how at the end of the day, Dion? How do you make it relevant and usable, actionable to somebody who might not be as practiced as you would like? >> I agree with Joe that many of us will be the recipients of data science. Just like you had to be a computer science at one point to develop programs for a computer, now we can get the programs. You don't need to be a computer scientist to get a lot of value out of our IT systems. The same thing's going to happen with data science. There's far more demand for data science than there ever could be produced by, you know having an ivory tower filled with data scientists. Which we need those guys, too, don't get me wrong. But we need to have, productize it and make it available in packages such that it can be consumed. The outputs and even some of the inputs can be provided by mere mortals, whether that's machine learning or artificial intelligence or bots that go off and run the hypotheses and select the algorithms maybe with some human help. We have to productize it. This is a constant of data scientist of service, which is becoming a thing now. It's, "I need this, I need this capability at scale. "I need it fast and I need it cheap." The commoditization of data science is going to happen. >> That goes back to what I was saying about, the recipient also of data science is also machines, right? Because I think the other thing that's happening now in the evolution of data is that, you know the data is, it's so tightly coupled. Back when you were talking about data warehousing you have all the business transactions then you take the data out of those systems, you put them in a warehouse for analysis, right? Maybe they'll make a decision to change that system at some point. Now the analytics platform and the business application is very tightly coupled. They become dependent upon one another. So you know people who are using the applications are now be able to take advantage of the insights of data analytics and data science, just through the app. Which never really existed before. >> I have one comment on that. You were talking about how do you get the end user more involved, well like we said earlier data science is not easy, right? As an end user, I encourage you to take a stats course, just a basic stats course, understanding what a mean is, variability, regression analysis, just basic stuff. So you as an end user can get more, or glean more insight from the reports that you're given, right? If you go to France and don't know French, then people can speak really slowly to you in French, you're not going to get it. You need to understand the language of data to get value from the technology we have available to us. >> Incidentally French is one of the languages that you have the option of learning if you're a mathematicians. So math PhDs are required to learn a second language. France being the country of algebra, that's one of the languages you could actually learn. Anyway tangent. But going back to the point. So statistics courses, definitely encourage it. I teach statistics. And one of the things that I'm finding as I go through the process of teaching it I'm actually bringing in my experience. And by bringing in my experience I'm actually kind of making the students think about the data differently. So the other thing people don't think about is the fact that like statisticians typically were expected to do, you know, just basic sort of tasks. In a sense that they're knowledge is specialized, right? But the day to day operations was they ran some data, you know they ran a test on some data, looked at the results, interpret the results based on what they were taught in school. They didn't develop that model a lot of times they just understand what the tests were saying, especially in the medical field. So when you when think about things like, we have words like population, census. Which is when you take data from every single, you have every single data point versus a sample, which is a subset. It's a very different story now that we're collecting faster than it used to be. It used to be the idea that you could collect information from everyone. Like it happens once every 10 years, we built that in. But nowadays you know, you know here about Facebook, for instance, I think they claimed earlier this year that their data was more accurate than the census data. So now there are these claims being made about which data source is more accurate. And I think the other side of this is now statisticians are expected to know data in a different way than they were before. So it's not just changing as a field in data science, but I think the sciences that are using data are also changing their fields as well. >> Dave: So is sampling dead? >> Well no, because-- >> Should it be? (laughs) >> Well if you're sampling wrong, yes. That's really the question. >> Okay. You know it's been said that the data doesn't lie, people do. Organizations are very political. Oftentimes you know, lies, damned lies and statistics, Benjamin Israeli. Are you seeing a change in the way in which organizations are using data in the context of the politics. So, some strong P&L manager say gets data and crafts it in a way that he or she can advance their agenda. Or they'll maybe attack a data set that is, probably should drive them in a different direction, but might be antithetical to their agenda. Are you seeing data, you know we talked about democratizing data, are you seeing that reduce the politics inside of organizations? >> So you know we've always used data to tell stories at the top level of an organization that's what it's all about. And I still see very much that no matter how much data science or, the access to the truth through looking at the numbers that story telling is still the political filter through which all that data still passes, right? But it's the advent of things like Block Chain, more and more corporate records and corporate information is going to end up in these open and shared repositories where there is not alternate truth. It'll come back to whoever tells the best stories at the end of the day. So I still see the organizations are very political. We are seeing now more open data though. Open data initiatives are a big thing, both in government and in the private sector. It is having an effect, but it's slow and steady. So that's what I see. >> Um, um, go ahead. >> I was just going to say as well. Ultimately I think data driven decision making is a great thing. And it's especially useful at the lower tiers of the organization where you have the routine day to day's decisions that could be automated through machine learning and deep learning. The algorithms can be improved on a constant basis. On the upper levels, you know that's why you pay executives the big bucks in the upper levels to make the strategic decisions. And data can help them, but ultimately, data, IT, technology alone will not create new markets, it will not drive new businesses, it's up to human beings to do that. The technology is the tool to help them make those decisions. But creating businesses, growing businesses, is very much a human activity. And that's something I don't see ever getting replaced. Technology might replace many other parts of the organization, but not that part. >> I tend to be a foolish optimist when it comes to this stuff. >> You do. (laughs) >> I do believe that data will make the world better. I do believe that data doesn't lie people lie. You know I think as we start, I'm already seeing trends in industries, all different industries where, you know conventional wisdom is starting to get trumped by analytics. You know I think it's still up to the human being today to ignore the facts and go with what they think in their gut and sometimes they win, sometimes they lose. But generally if they lose the data will tell them that they should have gone the other way. I think as we start relying more on data and trusting data through artificial intelligence, as we start making our lives a little bit easier, as we start using smart cars for safety, before replacement of humans. AS we start, you know, using data really and analytics and data science really as the bumpers, instead of the vehicle, eventually we're going to start to trust it as the vehicle itself. And then it's going to make lying a little bit harder. >> Okay, so great, excellent. Optimism, I love it. (John laughs) So I'm going to play devil's advocate here a little bit. There's a couple elephant in the room topics that I want to, to explore a little bit. >> Here it comes. >> There was an article today in Wired. And it was called, Why AI is Still Waiting for It's Ethics Transplant. And, I will just read a little segment from there. It says, new ethical frameworks for AI need to move beyond individual responsibility to hold powerful industrial, government and military interests accountable as they design and employ AI. When tech giants build AI products, too often user consent, privacy and transparency are overlooked in favor of frictionless functionality that supports profit driven business models based on aggregate data profiles. This is from Kate Crawford and Meredith Whittaker who founded AI Now. And they're calling for sort of, almost clinical trials on AI, if I could use that analogy. Before you go to market you've got to test the human impact, the social impact. Thoughts. >> And also have the ability for a human to intervene at some point in the process. This goes way back. Is everybody familiar with the name Stanislav Petrov? He's the Soviet officer who back in 1983, it was in the control room, I guess somewhere outside of Moscow in the control room, which detected a nuclear missile attack against the Soviet Union coming out of the United States. Ordinarily I think if this was an entirely AI driven process we wouldn't be sitting here right now talking about it. But this gentlemen looked at what was going on on the screen and, I'm sure he's accountable to his authorities in the Soviet Union. He probably got in a lot of trouble for this, but he decided to ignore the signals, ignore the data coming out of, from the Soviet satellites. And as it turned out, of course he was right. The Soviet satellites were seeing glints of the sun and they were interpreting those glints as missile launches. And I think that's a great example why, you know every situation of course doesn't mean the end of the world, (laughs) it was in this case. But it's a great example why there needs to be a human component, a human ability for human intervention at some point in the process. >> So other thoughts. I mean organizations are driving AI hard for profit. Best minds of our generation are trying to figure out how to get people to click on ads. Jeff Hammerbacher is famous for saying it. >> You can use data for a lot of things, data analytics, you can solve, you can cure cancer. You can make customers click on more ads. It depends on what you're goal is. But, there are ethical considerations we need to think about. When we have data that will have a racial bias against blacks and have them have higher prison sentences or so forth or worse credit scores, so forth. That has an impact on a broad group of people. And as a society we need to address that. And as scientists we need to consider how are we going to fix that problem? Cathy O'Neil in her book, Weapons of Math Destruction, excellent book, I highly recommend that your listeners read that book. And she talks about these issues about if AI, if algorithms have a widespread impact, if they adversely impact protected group. And I forget the last criteria, but like we need to really think about these things as a people, as a country. >> So always think the idea of ethics is interesting. So I had this conversation come up a lot of times when I talk to data scientists. I think as a concept, right as an idea, yes you want things to be ethical. The question I always pose to them is, "Well in the business setting "how are you actually going to do this?" 'Cause I find the most difficult thing working as a data scientist, is to be able to make the day to day decision of when someone says, "I don't like that number," how do you actually get around that. If that's the right data to be showing someone or if that's accurate. And say the business decides, "Well we don't like that number." Many people feel pressured to then change the data, change, or change what the data shows. So I think being able to educate people to be able to find ways to say what the data is saying, but not going past some line where it's a lie, where it's unethical. 'Cause you can also say what data doesn't say. You don't always have to say what the data does say. You can leave it as, "Here's what we do know, "but here's what we don't know." There's a don't know part that many people will omit when they talk about data. So I think, you know especially when it comes to things like AI it's tricky, right? Because I always tell people I don't know everyone thinks AI's going to be so amazing. I started an industry by fixing problems with computers that people didn't realize computers had. For instance when you have a system, a lot of bugs, we all have bug reports that we've probably submitted. I mean really it's no where near the point where it's going to start dominating our lives and taking over all the jobs. Because frankly it's not that advanced. It's still run by people, still fixed by people, still managed by people. I think with ethics, you know a lot of it has to do with the regulations, what the laws say. That's really going to be what's involved in terms of what people are willing to do. A lot of businesses, they want to make money. If there's no rules that says they can't do certain things to make money, then there's no restriction. I think the other thing to think about is we as consumers, like everyday in our lives, we shouldn't separate the idea of data as a business. We think of it as a business person, from our day to day consumer lives. Meaning, yes I work with data. Incidentally I also always opt out of my credit card, you know when they send you that information, they make you actually mail them, like old school mail, snail mail like a document that says, okay I don't want to be part of this data collection process. Which I always do. It's a little bit more work, but I go through that step of doing that. Now if more people did that, perhaps companies would feel more incentivized to pay you for your data, or give you more control of your data. Or at least you know, if a company's going to collect information, I'd want you to be certain processes in place to ensure that it doesn't just get sold, right? For instance if a start up gets acquired what happens with that data they have on you? You agree to give it to start up. But I mean what are the rules on that? So I think we have to really think about the ethics from not just, you know, someone who's going to implement something but as consumers what control we have for our own data. 'Cause that's going to directly impact what businesses can do with our data. >> You know you mentioned data collection. So slightly on that subject. All these great new capabilities we have coming. We talked about what's going to happen with media in the future and what 5G technology's going to do to mobile and these great bandwidth opportunities. The internet of things and the internet of everywhere. And all these great inputs, right? Do we have an arms race like are we keeping up with the capabilities to make sense of all the new data that's going to be coming in? And how do those things square up in this? Because the potential is fantastic, right? But are we keeping up with the ability to make it make sense and to put it to use, Joe? >> So I think data ingestion and data integration is probably one of the biggest challenges. I think, especially as the world is starting to become more dependent on data. I think you know, just because we're dependent on numbers we've come up with GAAP, which is generally accepted accounting principles that can be audited and proven whether it's true or false. I think in our lifetime we will see something similar to that we will we have formal checks and balances of data that we use that can be audited. Getting back to you know what Dave was saying earlier about, I personally would trust a machine that was programmed to do the right thing, than to trust a politician or some leader that may have their own agenda. And I think the other thing about machines is that they are auditable. You know you can look at the code and see exactly what it's doing and how it's doing it. Human beings not so much. So I think getting to the truth, even if the truth isn't the answer that we want, I think is a positive thing. It's something that we can't do today that once we start relying on machines to do we'll be able to get there. >> Yeah I was just going to add that we live in exponential times. And the challenge is that the way that we're structured traditionally as organizations is not allowing us to absorb advances exponentially, it's linear at best. Everyone talks about change management and how are we going to do digital transformation. Evidence shows that technology's forcing the leaders and the laggards apart. There's a few leading organizations that are eating the world and they seem to be somehow rolling out new things. I don't know how Amazon rolls out all this stuff. There's all this artificial intelligence and the IOT devices, Alexa, natural language processing and that's just a fraction, it's just a tip of what they're releasing. So it just shows that there are some organizations that have path found the way. Most of the Fortune 500 from the year 2000 are gone already, right? The disruption is happening. And so we are trying, have to find someway to adopt these new capabilities and deploy them effectively or the writing is on the wall. I spent a lot of time exploring this topic, how are we going to get there and all of us have a lot of hard work is the short answer. >> I read that there's going to be more data, or it was predicted, more data created in this year than in the past, I think it was five, 5,000 years. >> Forever. (laughs) >> And that to mix the statistics that we're analyzing currently less than 1% of the data. To taking those numbers and hear what you're all saying it's like, we're not keeping up, it seems like we're, it's not even linear. I mean that gap is just going to grow and grow and grow. How do we close that? >> There's a guy out there named Chris Dancy, he's known as the human cyborg. He has 700 hundred sensors all over his body. And his theory is that data's not new, having access to the data is new. You know we've always had a blood pressure, we've always had a sugar level. But we were never able to actually capture it in real time before. So now that we can capture and harness it, now we can be smarter about it. So I think that being able to use this information is really incredible like, this is something that over our lifetime we've never had and now we can do it. Which hence the big explosion in data. But I think how we use it and have it governed I think is the challenge right now. It's kind of cowboys and indians out there right now. And without proper governance and without rigorous regulation I think we are going to have some bumps in the road along the way. >> The data's in the oil is the question how are we actually going to operationalize around it? >> Or find it. Go ahead. >> I will say the other side of it is, so if you think about information, we always have the same amount of information right? What we choose to record however, is a different story. Now if you want wanted to know things about the Olympics, but you decide to collect information every day for years instead of just the Olympic year, yes you have a lot of data, but did you need all of that data? For that question about the Olympics, you don't need to collect data during years there are no Olympics, right? Unless of course you're comparing it relative. But I think that's another thing to think about. Just 'cause you collect more data does not mean that data will produce more statistically significant results, it does not mean it'll improve your model. You can be collecting data about your shoe size trying to get information about your hair. I mean it really does depend on what you're trying to measure, what your goals are, and what the data's going to be used for. If you don't factor the real world context into it, then yeah you can collect data, you know an infinite amount of data, but you'll never process it. Because you have no question to ask you're not looking to model anything. There is no universal truth about everything, that just doesn't exist out there. >> I think she's spot on. It comes down to what kind of questions are you trying to ask of your data? You can have one given database that has 100 variables in it, right? And you can ask it five different questions, all valid questions and that data may have those variables that'll tell you what's the best predictor of Churn, what's the best predictor of cancer treatment outcome. And if you can ask the right question of the data you have then that'll give you some insight. Just data for data's sake, that's just hype. We have a lot of data but it may not lead to anything if we don't ask it the right questions. >> Joe. >> I agree but I just want to add one thing. This is where the science in data science comes in. Scientists often will look at data that's already been in existence for years, weather forecasts, weather data, climate change data for example that go back to data charts and so forth going back centuries if that data is available. And they reformat, they reconfigure it, they get new uses out of it. And the potential I see with the data we're collecting is it may not be of use to us today, because we haven't thought of ways to use it, but maybe 10, 20, even 100 years from now someone's going to think of a way to leverage the data, to look at it in new ways and to come up with new ideas. That's just my thought on the science aspect. >> Knowing what you know about data science, why did Facebook miss Russia and the fake news trend? They came out and admitted it. You know, we miss it, why? Could they have, is it because they were focused elsewhere? Could they have solved that problem? (crosstalk) >> It's what you said which is are you asking the right questions and if you're not looking for that problem in exactly the way that it occurred you might not be able to find it. >> I thought the ads were paid in rubles. Shouldn't that be your first clue (panelists laugh) that something's amiss? >> You know red flag, so to speak. >> Yes. >> I mean Bitcoin maybe it could have hidden it. >> Bob: Right, exactly. >> I would think too that what happened last year is actually was the end of an age of optimism. I'll bring up the Soviet Union again, (chuckles). It collapsed back in 1991, 1990, 1991, Russia was reborn in. And think there was a general feeling of optimism in the '90s through the 2000s that Russia is now being well integrated into the world economy as other nations all over the globe, all continents are being integrated into the global economy thanks to technology. And technology is lifting entire continents out of poverty and ensuring more connectedness for people. Across Africa, India, Asia, we're seeing those economies that very different countries than 20 years ago and that extended into Russia as well. Russia is part of the global economy. We're able to communicate as a global, a global network. I think as a result we kind of overlook the dark side that occurred. >> John: Joe? >> Again, the foolish optimist here. But I think that... It shouldn't be the question like how did we miss it? It's do we have the ability now to catch it? And I think without data science without machine learning, without being able to train machines to look for patterns that involve corruption or result in corruption, I think we'd be out of luck. But now we have those tools. And now hopefully, optimistically, by the next election we'll be able to detect these things before they become public. >> It's a loaded question because my premise was Facebook had the ability and the tools and the knowledge and the data science expertise if in fact they wanted to solve that problem, but they were focused on other problems, which is how do I get people to click on ads? >> Right they had the ability to train the machines, but they were giving the machines the wrong training. >> Looking under the wrong rock. >> (laughs) That's right. >> It is easy to play armchair quarterback. Another topic I wanted to ask the panel about is, IBM Watson. You guys spend time in the Valley, I spend time in the Valley. People in the Valley poo-poo Watson. Ah, Google, Facebook, Amazon they've got the best AI. Watson, and some of that's fair criticism. Watson's a heavy lift, very services oriented, you just got to apply it in a very focused. At the same time Google's trying to get you to click on Ads, as is Facebook, Amazon's trying to get you to buy stuff. IBM's trying to solve cancer. Your thoughts on that sort of juxtaposition of the different AI suppliers and there may be others. Oh, nobody wants to touch this one, come on. I told you elephant in the room questions. >> Well I mean you're looking at two different, very different types of organizations. One which is really spent decades in applying technology to business and these other companies are ones that are primarily into the consumer, right? When we talk about things like IBM Watson you're looking at a very different type of solution. You used to be able to buy IT and once you installed it you pretty much could get it to work and store your records or you know, do whatever it is you needed it to do. But these types of tools, like Watson actually tries to learn your business. And it needs to spend time doing that watching the data and having its models tuned. And so you don't get the results right away. And I think that's been kind of the challenge that organizations like IBM has had. Like this is a different type of technology solution, one that has to actually learn first before it can provide value. And so I think you know you have organizations like IBM that are much better at applying technology to business, and then they have the further hurdle of having to try to apply these tools that work in very different ways. There's education too on the side of the buyer. >> I'd have to say that you know I think there's plenty of businesses out there also trying to solve very significant, meaningful problems. You know with Microsoft AI and Google AI and IBM Watson, I think it's not really the tool that matters, like we were saying earlier. A fool with a tool is still a fool. And regardless of who the manufacturer of that tool is. And I think you know having, a thoughtful, intelligent, trained, educated data scientist using any of these tools can be equally effective. >> So do you not see core AI competence and I left out Microsoft, as a strategic advantage for these companies? Is it going to be so ubiquitous and available that virtually anybody can apply it? Or is all the investment in R&D and AI going to pay off for these guys? >> Yeah, so I think there's different levels of AI, right? So there's AI where you can actually improve the model. I remember when I was invited when Watson was kind of first out by IBM to a private, sort of presentation. And my question was, "Okay, so when do I get "to access the corpus?" The corpus being sort of the foundation of NLP, which is natural language processing. So it's what you use as almost like a dictionary. Like how you're actually going to measure things, or things up. And they said, "Oh you can't." "What do you mean I can't?" It's like, "We do that." "So you're telling me as a data scientist "you're expecting me to rely on the fact "that you did it better than me and I should rely on that." I think over the years after that IBM started opening it up and offering different ways of being able to access the corpus and work with that data. But I remember at the first Watson hackathon there was only two corpus available. It was either the travel or medicine. There was no other foundational data available. So I think one of the difficulties was, you know IBM being a little bit more on the forefront of it they kind of had that burden of having to develop these systems and learning kind of the hard way that if you don't have the right models and you don't have the right data and you don't have the right access, that's going to be a huge limiter. I think with things like medical, medical information that's an extremely difficult data to start with. Partly because you know anything that you do find or don't find, the impact is significant. If I'm looking at things like what people clicked on the impact of using that data wrong, it's minimal. You might lose some money. If you do that with healthcare data, if you do that with medical data, people may die, like this is a much more difficult data set to start with. So I think from a scientific standpoint it's great to have any information about a new technology, new process. That's the nice that is that IBM's obviously invested in it and collected information. I think the difficulty there though is just 'cause you have it you can't solve everything. And if feel like from someone who works in technology, I think in general when you appeal to developers you try not to market. And with Watson it's very heavily marketed, which tends to turn off people who are more from the technical side. Because I think they don't like it when it's gimmicky in part because they do the opposite of that. They're always trying to build up the technical components of it. They don't like it when you're trying to convince them that you're selling them something when you could just give them the specs and look at it. So it could be something as simple as communication. But I do think it is valuable to have had a company who leads on the forefront of that and try to do so we can actually learn from what IBM has learned from this process. >> But you're an optimist. (John laughs) All right, good. >> Just one more thought. >> Joe go ahead first. >> Joe: I want to see how Alexa or Siri do on Jeopardy. (panelists laugh) >> All right. Going to go around a final thought, give you a second. Let's just think about like your 12 month crystal ball. In terms of either challenges that need to be met in the near term or opportunities you think will be realized. 12, 18 month horizon. Bob you've got the microphone headed up, so I'll let you lead off and let's just go around. >> I think a big challenge for business, for society is getting people educated on data and analytics. There's a study that was just released I think last month by Service Now, I think, or some vendor, or Click. They found that only 17% of the employees in Europe have the ability to use data in their job. Think about that. >> 17. >> 17. Less than 20%. So these people don't have the ability to understand or use data intelligently to improve their work performance. That says a lot about the state we're in today. And that's Europe. It's probably a lot worse in the United States. So that's a big challenge I think. To educate the masses. >> John: Joe. >> I think we probably have a better chance of improving technology over training people. I think using data needs to be iPhone easy. And I think, you know which means that a lot of innovation is in the years to come. I do think that a keyboard is going to be a thing of the past for the average user. We are going to start using voice a lot more. I think augmented reality is going to be things that becomes a real reality. Where we can hold our phone in front of an object and it will have an overlay of prices where it's available, if it's a person. I think that we will see within an organization holding a camera up to someone and being able to see what is their salary, what sales did they do last year, some key performance indicators. I hope that we are beyond the days of everyone around the world walking around like this and we start actually becoming more social as human beings through augmented reality. I think, it has to happen. I think we're going through kind of foolish times at the moment in order to get to the greater good. And I think the greater good is using technology in a very, very smart way. Which means that you shouldn't have to be, sorry to contradict, but maybe it's good to counterpoint. I don't think you need to have a PhD in SQL to use data. Like I think that's 1990. I think as we evolve it's going to become easier for the average person. Which means people like the brain trust here needs to get smarter and start innovating. I think the innovation around data is really at the tip of the iceberg, we're going to see a lot more of it in the years to come. >> Dion why don't you go ahead, then we'll come down the line here. >> Yeah so I think over that time frame two things are likely to happen. One is somebody's going to crack the consumerization of machine learning and AI, such that it really is available to the masses and we can do much more advanced things than we could. We see the industries tend to reach an inflection point and then there's an explosion. No one's quite cracked the code on how to really bring this to everyone, but somebody will. And that could happen in that time frame. And then the other thing that I think that almost has to happen is that the forces for openness, open data, data sharing, open data initiatives things like Block Chain are going to run headlong into data protection, data privacy, customer privacy laws and regulations that have to come down and protect us. Because the industry's not doing it, the government is stepping in and it's going to re-silo a lot of our data. It's going to make it recede and make it less accessible, making data science harder for a lot of the most meaningful types of activities. Patient data for example is already all locked down. We could do so much more with it, but health start ups are really constrained about what they can do. 'Cause they can't access the data. We can't even access our own health care records, right? So I think that's the challenge is we have to have that battle next to be able to go and take the next step. >> Well I see, with the growth of data a lot of it's coming through IOT, internet of things. I think that's a big source. And we're going to see a lot of innovation. A new types of Ubers or Air BnBs. Uber's so 2013 though, right? We're going to see new companies with new ideas, new innovations, they're going to be looking at the ways this data can be leveraged all this big data. Or data coming in from the IOT can be leveraged. You know there's some examples out there. There's a company for example that is outfitting tools, putting sensors in the tools. Industrial sites can therefore track where the tools are at any given time. This is an expensive, time consuming process, constantly loosing tools, trying to locate tools. Assessing whether the tool's being applied to the production line or the right tool is at the right torque and so forth. With the sensors implanted in these tools, it's now possible to be more efficient. And there's going to be innovations like that. Maybe small start up type things or smaller innovations. We're going to see a lot of new ideas and new types of approaches to handling all this data. There's going to be new business ideas. The next Uber, we may be hearing about it a year from now whatever that may be. And that Uber is going to be applying data, probably IOT type data in some, new innovative way. >> Jennifer, final word. >> Yeah so I think with data, you know it's interesting, right, for one thing I think on of the things that's made data more available and just people we open to the idea, has been start ups. But what's interesting about this is a lot of start ups have been acquired. And a lot of people at start ups that got acquired now these people work at bigger corporations. Which was the way it was maybe 10 years ago, data wasn't available and open, companies kept it very proprietary, you had to sign NDAs. It was like within the last 10 years that open source all of that initiatives became much more popular, much more open, a acceptable sort of way to look at data. I think that what I'm kind of interested in seeing is what people do within the corporate environment. Right, 'cause they have resources. They have funding that start ups don't have. And they have backing, right? Presumably if you're acquired you went in at a higher title in the corporate structure whereas if you had started there you probably wouldn't be at that title at that point. So I think you have an opportunity where people who have done innovative things and have proven that they can build really cool stuff, can now be in that corporate environment. I think part of it's going to be whether or not they can really adjust to sort of the corporate, you know the corporate landscape, the politics of it or the bureaucracy. I think every organization has that. Being able to navigate that is a difficult thing in part 'cause it's a human skill set, it's a people skill, it's a soft skill. It's not the same thing as just being able to code something and sell it. So you know it's going to really come down to people. I think if people can figure out for instance, what people want to buy, what people think, in general that's where the money comes from. You know you make money 'cause someone gave you money. So if you can find a way to look at a data or even look at technology and understand what people are doing, aren't doing, what they're happy about, unhappy about, there's always opportunity in collecting the data in that way and being able to leverage that. So you build cooler things, and offer things that haven't been thought of yet. So it's a very interesting time I think with the corporate resources available if you can do that. You know who knows what we'll have in like a year. >> I'll add one. >> Please. >> The majority of companies in the S&P 500 have a market cap that's greater than their revenue. The reason is 'cause they have IP related to data that's of value. But most of those companies, most companies, the vast majority of companies don't have any way to measure the value of that data. There's no GAAP accounting standard. So they don't understand the value contribution of their data in terms of how it helps them monetize. Not the data itself necessarily, but how it contributes to the monetization of the company. And I think that's a big gap. If you don't understand the value of the data that means you don't understand how to refine it, if data is the new oil and how to protect it and so forth and secure it. So that to me is a big gap that needs to get closed before we can actually say we live in a data driven world. >> So you're saying I've got an asset, I don't know if it's worth this or this. And they're missing that great opportunity. >> So devolve to what I know best. >> Great discussion. Really, really enjoyed the, the time as flown by. Joe if you get that augmented reality thing to work on the salary, point it toward that guy not this guy, okay? (everyone laughs) It's much more impressive if you point it over there. But Joe thank you, Dion, Joe and Jennifer and Batman. We appreciate and Bob Hayes, thanks for being with us. >> Thanks you guys. >> Really enjoyed >> Great stuff. >> the conversation. >> And a reminder coming up a the top of the hour, six o'clock Eastern time, IBMgo.com featuring the live keynote which is being set up just about 50 feet from us right now. Nick Silver is one of the headliners there, John Thomas is well, or rather Rob Thomas. John Thomas we had on earlier on The Cube. But a panel discussion as well coming up at six o'clock on IBMgo.com, six to 7:15. Be sure to join that live stream. That's it from The Cube. We certainly appreciate the time. Glad to have you along here in New York. And until the next time, take care. (bright digital music)

Published Date : Nov 1 2017

SUMMARY :

Brought to you by IBM. Welcome back to data science for all. So it is a new game-- Have a swing at the pitch. Thanks for taking the time to be with us. from the academic side to continue data science And there's lot to be said is there not, ask the questions, you can't not think about it. of the customer and how we were going to be more anticipatory And I think, you know as the tools mature, So it's still too hard. I think that, you know, that's where it's headed. So Bob if you would, so you've got this Batman shirt on. to be a data scientist, but these tools will help you I was just going to add that, you know I think it's important to point out as well that And the data scientists on the panel And the only difference is that you can build it's an accomplishment and for less, So I think you have to think about the fact that I get the point of it and I think and become easier to use, you know like Bob was saying, So how at the end of the day, Dion? or bots that go off and run the hypotheses So you know people who are using the applications are now then people can speak really slowly to you in French, But the day to day operations was they ran some data, That's really the question. You know it's been said that the data doesn't lie, the access to the truth through looking at the numbers of the organization where you have the routine I tend to be a foolish optimist You do. I think as we start relying more on data and trusting data There's a couple elephant in the room topics Before you go to market you've got to test And also have the ability for a human to intervene to click on ads. And I forget the last criteria, but like we need I think with ethics, you know a lot of it has to do of all the new data that's going to be coming in? Getting back to you know what Dave was saying earlier about, organizations that have path found the way. than in the past, I think it was (laughs) I mean that gap is just going to grow and grow and grow. So I think that being able to use this information Or find it. But I think that's another thing to think about. And if you can ask the right question of the data you have And the potential I see with the data we're collecting is Knowing what you know about data science, for that problem in exactly the way that it occurred I thought the ads were paid in rubles. I think as a result we kind of overlook And I think without data science without machine learning, Right they had the ability to train the machines, At the same time Google's trying to get you And so I think you know And I think you know having, I think in general when you appeal to developers But you're an optimist. Joe: I want to see how Alexa or Siri do on Jeopardy. in the near term or opportunities you think have the ability to use data in their job. That says a lot about the state we're in today. I don't think you need to have a PhD in SQL to use data. Dion why don't you go ahead, We see the industries tend to reach an inflection point And that Uber is going to be applying data, I think part of it's going to be whether or not if data is the new oil and how to protect it I don't know if it's worth this or this. Joe if you get that augmented reality thing Glad to have you along here in New York.

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Michael Harabin, Pac-12 Networks | NAB Show 2017


 

>> Voiceover: Live from Las Vegas it's The Cube, covering NAB 2017, brought to you by HGST. (lively music) >> Good morning, welcome to The Cube I'm Lisa Martin, and we are live at day three of the NAB Show in Las Vegas. Very excited to introduce you to our first guest this morning, Michael Harbin, the VP of Pac-12 Networks. Good morning Michael, welcome to the cube. >> Good morning, how are you today? >> Very good, very energized. >> Oh good (laughter) >> Day three. So Michael, tell us about Pac-12 Networks, The content arm of the Pac-12 Conference. >> Sure, we have a six regional sports networks in the western US, and then one national feed, we also have digital properties and some over-the-top services on Twitter and Facebook Live, so we're involved as we can be in all forms of distribution. We're located in San Francisco, the conference itself is over 100 years old; it was 100 last year. The networks launched four years ago, this will be our fifth season coming up in August. We're very proud, very happy of our distribution, and our student athletes, and our partnership schools, and it's a great place. >> So you are the first and only sports media company that is owned by its 12 universities. >> That's right, so the SEC is partnered with ESPN, and the Big 10 Networks are partnered with Fox, so we're on our own, we stand on our own, and we do the best we can with what we have. >> Give us an idea of the genesis of the network. >> It started with the new commissioner, Larry Scott on the Pac-12 side, he came in and had a vision for helping the Pac-12 realize what it could be, as opposed to... Being on the West Coast has its disadvantages; our audience size isn't that big, our games start when the East Coast is going to sleep sometimes, so he wanted to get rid of an East Coast bias that existed in collegiate sports, and really make Pac-12 what it should be. We have the best geography, we have the best schools, we have land in... Tech and entrainment, so we have a lot going for us, and I think he brought those things to the forefront, and helped position Pac-12 in a much stronger position than it had been. In the world of liscencing content, we leapfrogged at the time the rest of the conferences in our deal with ESPN and Fox for our football and basketball games. With the games that weren't sold to Fox and ESPN, commissioner Scott thought to create a media company that we would own and control, and that would distribute the rest of our collegiate and athletic events that we have that are controlled by the Pac-12. >> So you mentioned basketball, football, you do big events, but you also do small events. Give us an idea of what it's like to produce a big event in the fall; a big football event, versus some of the smaller Olympic sports like field hockey? >> Sure. We have our three seasons; fall, winter, and spring, so obviously winter, the mostly indoor sports, but in the fall we kickoff big with our football season, and there's 12 or 13 weeks, and we have a championship game in early December which is a big event. That's one of the reasons the Pac-10 went to the Pac-12; the NCA says if you have 12 football teams, you can have a championship game. >> Okay. >> If you have less than 12, whoever has the best record is the winner, so we added two schools, and we have a champ game; those media rights were sold to Fox and ESPN, so it was a nice deal for us. So we start off with football; those are more traditional productions that everybody's used to. Big 53-foot truck pulls up, we do our production compliment with seven, eight or nine cameras depending on the game, depending on the market, depending on the week, the time of broadcast. We usually get- we choose our games after Fox and ESPN chooses theirs, so sometimes we get good games, sometimes we don't. They're all good; they're all Pac-12 games, so they're all good. But those are very traditional productions that are done in very traditional methodologies that everyone would see. As we start getting into basketball, those two are typical productions, but the volume of basketball games is such that we found a new way to do those games a little bit less expensively than the others. >> So less resources? >> Yeah. And then of course the spring sports where you're into baseball and softball, track and field. Track and field is a very expensive sport to produce because there's a lot going on at any one time. In that way, we've gotten away from video as a means of transmission and done IP transmission, which saved us a lot of money, and as we've got that IP path between our schools and ourselves, we've learned to do new things with it. We're doing content sharing back and forth, advanced production techniques, multiple camera paths that we normally wouldn't have on a production of that size. All of our shows, no matter where they are or what sport they are are produced in surround sound 5.0, so we think we lend a lot to the smaller sports that get smaller audiences, but we think we put a lot of production value to them to do the athletes and the sport justice. >> Talk to us about the underlying technologies that are necessary to support going from video to IP so that you can really open up the types of content and where it's distributed. >> Right, so one of the difficulties- we have around 100 venues in the 12 schools that we have to be able to broadcast from. Depends on the university; at Standford, those soccer and lacrosse fields could be way out. They call the campus 'the farm' for a reason. There's a lot of acreage there to cover. And some of our venues aren't even on campus. UCLA football is at the Rose Bowl, USC is at the Coliseum, so we had to find a way to get away from video which is just a single path and costs a lot. We needed more bidirectional service, we needed something that was secure and had really low latency so that when we did our productions we did the coaches interviews afterwards, it's basically like a phone call. We also provided internet services to the production, which everybody needs internet connectivity. The Chyron people, whomever. The crew itself, just for checking in and their report times and things like that, and we also provide four-digit extension dialing for our in-house phone systems. It's a very efficient and cost-effective way for us to do our production out there, and provide this suite of services that if I was just using a video circuit, I wouldn't have access to unless I paid extra for it. >> So presumably, creating a ton of content, how do you maintain all this content and be able to retrieve things, be able to livestream, have things on demand, that's that underlying archival storage strategy? >> So we produce 850 events throughout a year, and that's just to give you an idea, I think Big 10 and SCC are around 400, 450. We have a lot of volume going on, and we do a very good job, I think, of archiving that, logging those games, adding metadata, as much metadata as we possibly can to it. Including repurposing the closed caption files, we attach that as data, we get articles, stills, whatever we can gather about that particular game, we add it as metadata, and then we archive that. We keep it on very fast, short-term storage in our building on spinning disk, and after it ages, after about the second season, we push it into Amazon Cloud. It goes right into Glacier if it's that old, but immediately when we do a game, we push it up to S3 in Amazon, where we share and monetize our content at that point, and then from there it just goes to Glacier, so we have, we think, a very efficient workflow, it's highly automated, we have a great media management department that does a terrific job with very few people, very scarce resources, they do what I think is one of the best jobs in the industry in terms of saving that content in an effort to monetize it in the future. So if you can find it and search through it and get clips from it, it's going to be that much more valuable for us. >> So one of the prevailing things that we've been hearing all week, and not just here, is the democratization of content. The audience, we're very much empowered, right? As a viewer of anything we want; we're binge-watching, we're streaming, we're time-shifting, we're sharing it on social media. What is the process that Pac-12 Networks goes through to understand your audience as well as you can to deliver them the experience that you think they want? >> We have the data that comes back from our TV Everywhere product, there are OTT platforms that we can gather up and sift through. We've undertaken a fan engagement project to work with our universities about the type of people and who attend their football games, or their sporting events, and a way of better understanding who our audience is and tailoring our program to that. Understanding who they are, what their preferences are, it will help us, I think, to fine-tune the kind of content we put in front of them. Everybody loves a winning team, and you have no problem filling seats or getting an audience when your team is winning, so we understand that; we just want to be better during those times where the team might not be undefeated, so we'd like to get people in there anyway. It's a challenge for us, it really is. >> What about this concept of original content? You're now producing original content. There are three shows? >> Yes. We have some anthology shows; The Drive, and All Access during football and basketball season that give a behind-the-scenes look akin to the HBO shows on the professional side that look at professional sports. We go behind the scenes, and the stories for some of our athletes and some of our teams are quite compelling, and it makes good television. That gets also supported by our shoulder programming for our live events; pre and post-game SportsCenter-type shows that we do, and we try to do live halftimes that are topical for every one of our sports events that are played, so that's a lot of volume, a lot of churn that goes through a small studio in a small facility. We think it helps the live events look better, I mean, live events are what people are tuning in to watch. You can't fast-forward through a sporting event which advertisers just love, you kind of have to consume it in the moment, unless you can keep yourself away from the internet or your phone for a few hours until you get a chance to watch the game. We think being in live sports is a really special place to be, because you can't fast-forward through it. Any support that we give those live events, that's really what the other original content is geared to, is to build interest in those teams and those events, and attract people to them. >> So you have this concept of TV everywhere. Original content, traditional content, how is the cloud helping the Pac-12 Network to really collaborate across all the content, all of the connected fans and wherever they are? >> Sure. Just to make a distinction, we have the TV Everywhere which is the authenticated platforms that our cable providers use, and we have our own digital properties as well that still need to be authenticated, and then there's the over the top platforms like Facebook Live that are everything but the 850 events that go on the air. So behind the scenes, sideline reporters in the locker rooms, whatever else we could produce, pep rallies, that we think could be compelling content for Facebook Live we do. On Twitter, we've licensed out the 851st event and beyond, so we do some very limited productions, but still quality, that gets distributed on Twitter. So that's kind of this thing. TV Everywhere is basically the high-end product, and then these kind of ancillary second-screen experience, whatever you want to call them that don't need to be authenticated, that anybody can pick up and watch. That's how we make that distinction. I'm sorry, what was the second part of that question? >> How does cloud help collaboration? >> So we were really early adopters of producing those streams ourselves, so with Elemental Technologies who is a wonderful vendor and partner of ours, they're now owned by AWS, I point over there, they're somewhere in the building. >> (laughs) >> We're a big early adopter of their technology, we've really tried to strive for a business partnership with our vendors, rather than just a check-writer, check-casher relationship, which doesn't do us well, we don't think. We developed this relationship with them, and they helped us deliver our mezzanine streams to Occami and distribute from there, but we do that encoding in-house on their equipment. Eventually I think we'll move that to the cloud and get it all virtualized, but for right now we run their servers in our house, and they understand that we would like to get it out as quickly as we can as some point, but we're working on emptying our CER as fast we can; I don't want any blinking lights in my CER if I could get there someday, but that's a dream. >> So last question, we just have about thirty seconds left, you're in San Fancisco, >> Yep. >> With a really cool opportunity; sports entertainment technology. When you're looking for young talent who could potentially be swayed by the big Googles of the world and Facebook, what is really unique and cool about working with Pac-12 Network? >> For us, it's a two-edged sword. We love being in San Francisco; it gives us access to young people, a new way of thinking, different technology companies that are more IP/IT centric than TV centric. So we think that gives us a real advantage. The other edge of the sword is that we lose a lot of network engineering especially, systems engineers to the tech companies; they would prefer to work at Uber or LinkedIn, something like that. TV's kind of a dying tech, you have to jazz it up a little bit to gain their interest. >> But it's evolving based on what you're talking about-- It is. It's very much that skillset for being an old-time TV engineer is becoming less and less important than network engineering or systems engineering skillsets; that's what we really look for. If somebody has a Cisco certification, he gets our- or she gets our interest, rather than just 'I've worked in television for 20 years,' because we know which direction we're going in. >> One of the things that you articulate as we wrap things up here is that every company this day and age is a tech company, so we wish you the best of luck. You've said you've been at this show for 30 years >> 30 years. >> I can't even imaging all the things that you've seen. Michael Harbin, thank you so much for joining us on The Cube. >> Thank you very much, it was a pleasure being here. >> We want to thank you for watching, we are live from NAB in Las Vegas. I'm Lisa Martin, stick around, we'll be right back. (techno music)

Published Date : Apr 26 2017

SUMMARY :

covering NAB 2017, brought to you by HGST. I'm Lisa Martin, and we are live at day three The content arm of the Pac-12 Conference. Sure, we have a six regional sports networks So you are the first and only sports media company and we do the best we can with what we have. We have the best geography, we have the best schools, in the fall; a big football event, versus some of the but in the fall we kickoff big with our football season, and we have a champ game; those media rights were sold paths that we normally wouldn't have on a production so that you can really open up the types of content Right, so one of the difficulties- we have around 100 to Glacier, so we have, we think, a very efficient workflow, So one of the prevailing things that we've been hearing We have the data that comes back from our TV Everywhere What about this concept of original content? SportsCenter-type shows that we do, and we try to do helping the Pac-12 Network to really collaborate across and beyond, so we do some very limited productions, So we were really early adopters of producing those that we would like to get it out as quickly as we can potentially be swayed by the big Googles of the world The other edge of the sword is that we lose a lot of But it's evolving based on what you're talking about-- One of the things that you articulate as we wrap I can't even imaging all the We want to thank you for watching, we are live from

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