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Raja Hammoud, Coupa | Coupa Insp!re 2022


 

(upbeat music) >> Hey guys and girls. Welcome back to theCUBE's coverage of Coupa Inspire 2022, from the Cosmopolitan, in bustling Las Vegas. Lisa Martin here, and as I mentioned, day two of our coverage and fresh from the main stage, Raja Hammoud joins me, the Executive Vice President of products at Coupa. Raja, welcome back to theCUBE and happy 10th anniversary at Coupa. >> Oh, thank you, thank you, thank you, and welcome back to Inspire. >> Thank you. It's so great- >> We're so happy you're here. >> It's great to be here. So you're just about coming up on your 10 anniversary with Coupa. You showed some great photos of your time there but you've seen, you've lived the evolution that is this rocket ship that's Coupa. >> Raja: It's been incredible journey. I really couldn't believe at first it's been 10. This is the longest I've ever been anywhere. And I honestly feel more refreshed and excited than even when I joined back in the day 10 years ago. And so much has changed, but also so much has not. >> Lisa: Yeah. >> The size of course. We were like 60 people when I joined, the product development team was one person in, in a product, roughly 12 engineers, and fast forward to the scale that's today, it's phenomenal difference. But what has not changed is the, the core values, how, the hustle, how people love working with each other, how we support customers, how we keep stepping up our game how we believe none of us is as smart as all of us, and the community keeps getting stronger and stronger. It's been, it's been really exciting journey. >> The theme of none of us is as smarter as all of us, I'm not sure if I got that right, but the idea is you feel that when you're talking to Coupa partners, I've had the opportunity to talk with Coupa partners and customers and Coupa folks that, that is not just a value statement, people are living that. >> Raja: Yeah. It's, it's everywhere. In the, in the company walls, outside the company walls, you often see product people in different organizations where, they start living in an ivory tower, they think they know everything, I mean, back to what we were discussing earlier about Barbara, when she talked about, get out of your doors, right? A lot of people can tend to do that. We always, from the beginning, believed in the best ideas are out there and you collaborate with each other. And I truly, truly believe that the success that we have achieved today to our community is in a large, large part, because we believed in that. So like on Monday, we hosted, I can't keep track of the number now, so, so many in-parallel Community Advisory Board meetings, and just talking to the products managers and everybody is buzzing with new ideas. And when we go back, there's so much new innovation that has just been co-created here in this conference, and this keeps going on and on and on. >> Lisa: Yeah. I like how you call it, the Community Advisory Board. I'm still used to hearing CAB as Customer Advisory Board, but what Coupa has built, especially with the launch of the Moonshot, the, the community AI, is, is just that. >> Yes. >> It's a very collaborative community. One of the things that's around here, hashtags everywhere, but #United by the Power of Spend. >> Yes. >> What does that mean to you as the EVP of products, and what do you think that means to the community? >> When I think... What we are doing, we're building this platform that is powering all these businesses out there. And the reality of it is you can only, only do so much when you try to do things alone. When we are doing things together, we are way more successful, we are more profitable, we are more sustainable, we are more efficient. And community.ai from a technology standpoint, is making that happen, because what we are doing is taking AI, applying it to all this 3.3 trillion in data, and then bringing back prescriptions that we give back to each and every customer so that everybody can see where they are, how they up their games, and we connect them with other people like them. Now, people love coming to conferences like this, but even in conferences like this, if you think about it, the people you're going to meet, it's, some people are going to do matchmaking but you are also losing an opportunities of meeting the maximum number of people who've done exactly the thing that you did. But when you have the ability to look at all of that data and you can match make people. So we did that already with, for sourcing professionals. So if you are somebody who source a certain category, we can tell somebody else has done something like this in this geography and we offer you to connect to each other. >> Lisa: Wow. >> So this is incredibly powerful way where we are really uniting the whole community by spend, making everybody truly stronger together. >> Lisa: Matchmaker in, in a sense. >> It is matchmaking. >> But it's, but it's- >> It's Spend matchmaking. >> Spend matchmaking, but it's also the opportunity to unite professionals across sourcing, procurement- >> Raja: Yes. >> ... finance, treasury. >> Raja: Yes. >> To your point, and, and Rob said this in his keynote, and he said it here on theCUBE, you know, we've got to break down these silos. >> Raja: Yes. >> People and companies functioning in silos are not going to be successful. >> Raja: Yes. This has been one of the, probably one of the things that we were talking earlier, what has changed, what hasn't. This is one of the fundamental things that has never changed since I've joined. The vision has been very clear. The execution on it, of how we drive successful business spend management program is by breaking down the silos and this idea of sweet synergy, where in product, you start building these capabilities that helps these professionals in the different organizations to actually connect on the touch points, where, where things really matter. >> Lisa: Sweet synergy, was that thing from a concept perspective, did that come from the community, in terms of Coupa going, this is actually what's happening, this synergy across the BSM suite? >> Yes. So in the very beginning, it was early idea. I would say in the first two Inspires that we did, we hadn't given it actually the name itself, and we used to call it unified capabilities, and it started with the first silos we broke down. The first silos we broke down were procurement and AP. And they didn't even used to talk in the same room or even want to care about each other. So we started building so many capabilities that brought these teams together and little by little the community started to feel that and see the value of that. And then the community started to ask us to go break down more silos. So in the beginning, I would say the, the vision before I even joined, the company was on that trajectory. And the early customers saw that and they championed it and then they drove us to do more. So they came to us and said could you please do what you did here in contract? Could you please do what you did here in sourcing? And I was in a meeting last week, a leadership meeting, and one question was asked to leaders in the services team about what are they hearing about, from the customers, about a particular area. And it was music to our ears when we heard the customers are asking for more synergy, right? So, they even have the name for it and they're asking for more and more, and we have built hundreds of these already, but the reality is there is so much opportunity. >> Lisa: Right. >> The world is siloed, no technology has attempted to do that. And I think that's what's a exciting is to go and forge new grounds and do something very special to unite everyone together. >> You guys talked about the waves. Rob talked about the waves yesterday. You talked about it again this morning. And when I think of Inspired community, as that third wave, I see it on both sides. I see the Inspired community that is the Coupa community, but also what you just talked about, that flywheel of that sort of symbiotic relationship that you guys have with your customers as Coupa in and of itself being in a community inspired by the community that it has built. >> Raja: Yes, it's, it's very, very, it's a circular effect. Like it, we inspire one another, and we strengthen one another, and it's, it's just a beautiful, beautiful thing. One of the special things that we are starting to do is we want to take the whole product experience itself, to be a complete community experience. So anywhere you are going to Coupa, when it makes sense, of course, you are not only looking at your data, you are getting connected with people for that particular thing. So we've done that already for 15 different product areas and we're constantly doing more and more and more and more. You can imagine one day we can, where we can start within the product pages themselves, where we host community experts to talk via video and connect with others. So you bring that whole community experience alive in a product in enterprise software, which has not been done. >> Kind of like creating your own influencer network. >> Yes, yes, yes. And give people their voice and, and, and it becomes exciting. It is very different when you're just working on your own and driving goals, and you have no idea how good that can pass on the world. And then when right then and there, you get to learn that some people have hit that, some people have achieved these goals, you just get excited, "I want to hit that goal too. Who are these people? Connect me with these leaders. Let's have a conversation. How did they do it?" And they start creating best practices together. We even have started places where they collaborate on actual documents and templates, and they put them in the community exchange as a way for people to share with others, even taking templates from the product putting them back into a community exchange. So it is sharing, being enabled on the platform, platform itself. >> Lisa: How did you guys function during the pandemic, the last two years when we couldn't get together? >> Raja: Yeah. >> I know that your customers are really the lifeblood of Coupa and vice versa. >> Raja: Yes. >> But talk to me about some of the things that Coupa did with its customers, you know, by video conferencing, for example, that really helped the evolution and some of the innovations that you announced this morning. >> When we first... when the pandemic first hit I think like we all didn't believe what, what is going on. And there was this, I would call it a beautiful period in a way, despite how horrific that was, and that period was where everyone rose to the occasion, everybody wanted to help one another. Across Coupa everywhere, we started having documents of how can step up and help our customers, help our communities. We started to look at how we get PPE, and get it in the hands of our customers. We have access to suppliers. We started looking at helping suppliers with digital payments to speed things up. So, so many things we started doing as a community to just help each other. And then as we got to the next level, then we started, of course, starting to do things over, over zoom. And the big surprise, was we were incredibly productive. If anything, we were worried about people feeling burnt out. >> Yeah. >> Because they were just in it, completely in it. And it created a lot of new avenues for us because often you go and do these meetings in person. Now you could have a user experience session with a customer very easily, they're available more often than they used to. >> Lisa: Right. >> So we did not miss a beat with the community. We moved into virtual caps. We had the advantage of having them recorded as well, where we could have the global development teams learn and see exactly what the, what the customers are are co-creating together. And our goal lives accelerated, because a lot of these implementations, they used to happen in person, so schedules, they actually got accelerated- >> Lisa: Right. >> ...through that. Now of course, there is nothing that matches to this. You can do it, you can do a lot, but a ton of the collaboration comes from real life dialogue and kind of conversation. So it's that balance between the two that I think will be great. >> Lisa: What are some of the things that you've heard the last few days? You mentioned the Partners Summit and, and the Community Advisory Boards on Monday, yesterday, everything kicked off today. What are some of the things that you've heard in your meetings that really inspire you on say the next 10 years at Coupa? >> Raja: By far, by far, by far, it's a validation of, that what we are doing is, we're absolutely on target with it, and that, we just can do so much more. The silos are massive and there are so so many opportunities that you hear in every different areas that we could be doing this, we could be doing this together. So we can break down more and more silos. And using community.ai is just the tip of the iceberg of what we are, what we are doing. Yes, we created tens and tens of capabilities, helping, helping the community with all of that, but data drives everything. And when you look at that, every single process in every single silo can be informed by the power of data within your own company, and then even better, data across. And, and to the point where we're talking about concepts that customers are really excited about, even thinking about this community, they're customers of each other. And when you are a customer of each other what are the different ways as a community, you can help one another more. So we're talking about community netting as new types of concepts. >> Lisa: Talk to me a little about that. You mentioned the community netting this morning but I didn't quite... Help me understand. >> Raja: It is very simple terms is if, if we are buying from each other and we have to do money movements every time I have to pay you, I have to incur fees and likewise, but since we are part of this community we can manage that relationship. So we just pay the Delta, we net it out. So it, it saves reconciliation times it saves money movement. And these are tip of the icebergs of these very cool things that we're doing together. >> Wow. That's fantastic. Last question for you, as you talk with prospects who are in the early stages, or, or still determining, do we go through like a supply chain digital transformation? I mean, I think of companies that probably haven't now or need to get on the bandwagon. >> Raja: Yeah. >> What are some of the things that you advise to those customers to be able to do what Mick Ebeling talked about this morning and that is, commit and then figure it out? >> Raja: Yes. The number one thing is just make sure you don't do the analysis paralysis. There are just so many opportunities so many opportunities start with a project, get going, and it creates incredible momentum, and then you can move on from one to another, to another, to another, instead of trying to just go for a year or two, trying to look at how the world has changed in that process. And so often you could see that projects pay for themselves within the first month of go life. You do that, you'll create another one. And it's not like you are coming in to do something so new nobody has done. Hundreds and hundreds and thousands as a matter of fact, of other community members have done that. It is proven. So get started with those and then continue. Other things I will be talking to them about is to make sure that they understand the way we work is all about partnerships spread. Often people who haven't worked with us in the enterprise software, they're used to working with vendors. We are not that. We never were that. Like the number one, if we're not going to be real partners, honest, transparent and work with each other, we don't waste each other's time. >> Lisa: Well, Raja, it's been great having you on the program. I've really enjoyed your keynote this morning. Congratulations on your 10 years at Coupa. >> Raja: Thank you. >> I'm excited to see what the next 10 years brings for you. We appreciate your insites and everything that Coupa is doing in partnership with its customers is very evident in an event like this. >> Raja: Thank you. And thank you for coming and covering us as well. We really appreciate it. >> Lisa: It's our pleasure to be here. >> Thank you. >> For Raja Hammoud, I'm Lisa Martin. You're watching theCUBE's coverage, day two of Coupa Inspire 2022, from Las Vegas. (upbeat music)

Published Date : Apr 6 2022

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and fresh from the main stage, and welcome back to Inspire. It's so great- lived the evolution in the day 10 years ago. and the community keeps but the idea is you feel that the success that we have launch of the Moonshot, One of the things that's around here, and we offer you to connect to each other. So this is incredibly powerful way and he said it here on theCUBE, you know, are not going to be successful. This is one of the fundamental things and see the value of that. is to go and forge new grounds that is the Coupa community, One of the special things Kind of like creating that can pass on the world. are really the lifeblood and some of the innovations and get it in the hands of our customers. And it created a lot of new avenues for us We had the advantage of So it's that balance between the two Lisa: What are some of the things And, and to the point where You mentioned the community and we have to do money movements are in the early stages, or, and then you can move it's been great having you on the program. and everything that Coupa is doing And thank you for coming day two of Coupa Inspire 2022,

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Raja Hammoud, EVP, Coupa Raja Hammoud | Coup!a Insprie EMEA 2019


 

>>From London, England. It's the cube covering Koopa inspire 19 brought to you by Cooper. >>Hey, welcome to the cube. At least the Martin on the ground in London, a Coupa inspire 19 and I'm really excited to be joined by my last guest of the day. Save the best for last. We have Roger Hamoud, the EVP of products from Kupo Russia. Welcome back to the program. Thank you for having me. Thanks for coming here. Of course, it's been great. We've had a, we've had a great day. Lots of buzz and excitement in the expo hall. The lights are jammed. It's happy hours. Happy hour for time for the Q during happy hour. So I know your keynote is tomorrow, so we'll get to that since we won't cover that. But talk to me about some of the new product innovations that Cuba announced today. The last time we spoke at inspire Las Vegas was only a few months ago. So what's new? Wow. A lot is new. It's, it's hard to believe. >>It's only been three months since then. It's been so close. Um, we very much continue our, um, focus on our community. Powered, uh, capabilities. Uh, this has been an incredible focus for us. Uh, so most recently we've added to all of the announcements we talked about at, uh, Vegas, uh, the, um, next waves of source together the opportunity to bring our community to come and source, uh, using their collective spent power and lots of new enhancements in that area. And also we're taking our supplier insights to the next level. One of the exciting capabilities our customers loved is that being part of a community member, I can come in and I can look at insights across all of my suppliers, uh, from the entire community. What we have, we've been working with them on is constantly adding more and more information to that. So now we have diversity data. >>So you can come in and you can search for suppliers that meet your women. Exactly. Exactly. Those are increasingly becoming more and more important. And then we can help companies source with the right suppliers much more easily right off the bat. Um, other areas that we've announced today was a coupon pay for expenses in early access program. Uh, we also announced invoice thing. Um, going on GA, when we talked in Vegas, it was still in the early access program, uh, capabilities and opening up our platform, Coupa as a platform. >> Uh, tell me about that, cause I wasn't quite clear when Rob was talking about it this morning. I thought I wanna dig in that with you. Kupa as a platform. What is that? What does it look like? So what's exciting about this is, so from our inception as a company, we were always had this old in Cooper about being open as an ally for the entire ecosystem that our customers might have. >>Our vision has always been, we want to be the, ultimately the business screen for everything business spend management related for our customers. So over years we kept taking the level of openness with our partners through different, um, different levels. If you say, if you will, for example, we started with just integrations in the beginning and we certify these integrations with coupon link. Um, we've taken it most recently where we allow partners to embed their mini apps within Cooper. So, for example, um, you can see in one of our partners EcoVadis now they have the capability to embed their supplier diversity data sustainability data right on the supplier record. Okay. And what's beautiful about this is that our customers, when they look at it, it looks a one beautiful unified experience and bringing all the data in context for what they want. Um, today, this morning, uh, Rob shared one example from Amadeus for, uh, trip integrations. >>So right on the homepage, I can see right within Cooper, I can see all their bookings that I've done with the travel provider, Mike pre-approvals, expense reports, all within one unified experience. But ultimately where we want to take coop as a platform is to become this app directory that, uh, third party partners and platform developers start building applications to extend Copa to bring more choice and value to our customers. Okay. Wow. Is that one of the things I saw Rob shared this morning was integration with Slack. Yes. So business folks can review, approve, or reject, like expenses for example, right from within Slack without even having to go into the platform. Yes, yes. That you hit on a very important concept, which we call the best UI is no UI in many ways. And the idea there is um, we always put ourselves in the user's shoes and ask ourselves how do we get them what they need with the least friction? >>In some cases that might involve a user experience because you need to ask them questions and make cases. We can automate the whole thing. So we just do it. And in many cases it means we go to them to where they are such as in Slack, I'm going to ask you to leave Slack, go somewhere else right then and there you should be able to approve or reject why you have to go anywhere else. Is that what, what Cuba means by no UI is the best UI, correct. Best UI is no UI. So ultimately wherever there is effort, we, we want to involve people only when they need to add value. That's it. And as much as we're able to automate, that's great. So we take that off of their table and we also adjust to the type of experience they need. Sometimes just a text message is enough sometimes to bring the data to me into a collaboration applications that I want. >>Um, sometimes we, we help them approve right from, um, a button. You don't even go into Kupa in order to do that. So always thinking of how we drive adoption, drive adoption. And it's an important concept, not just on the employee side of companies, it's even more so on the supplier side as well. Now when you think of any or like large organizations, they have tens of thousands of thousands of suppliers, many have hundreds of thousand suppliers. And the supplier ecosystem is everything from very small contractor, mom and pop shop, maybe two people or even one person all the way to very, very large companies. Okay. So as you look at that whole spectrum, you have to really think what does every audience need? And so in many cases, these people, um, they may need to do everything very quickly straight from an email without having to remember a user ID and a password to log into something. >>So eliminates friction at every step of the process for them. Wow. So let's talk about that Vic community insights. As we look at some of the, uh, the data that KUKA has gotten from finance leaders of the UK, that was like a survey that you guys, yes, I did recently have 253 decision makers and finance and some of the numbers were glaring. Like, wow, 96% of these decision makers said we don't have complete visibility correct. Of all of our spent. And then I was talking to a customer today who said, we've got now gotten 95% of all of our business men going through Coupa and that was within less than a year. Yes. So the opportunity there to deliver that visibility and those insights back to the community is, is pumped, is incredibly exciting. It's incredibly exciting. We're starting to see more and more the sentiment that's in key, loud and clear and um, by working constantly on the AE, the accelerated and coupon, we work on getting more and more of the spend for each and every customer under management. >>Um, we, when we start to projects for customers right off the bat, uh, we use our AI classification tools before they even start with Copa, where we start helping them get visibility onto all of their existing spent so that as they start into their Coupa journey, they are always looking at it holistically. Okay. So we know them, realize all of that data and provide them insights and reports right off the bat as well. Tell me about the customer interactions that you have as the EVP of product, lot of customers on the platform, a lot of data there. How are customers influential? Yes, yes. The direction. Like for example, you know, obviously I won't give a secret sauce, but for Cooper inspire 20, 20, what are some of the things that we might see customers influencing in terms of your roadmap that direction? Partnerships? Yes. Yes. >>Um, in general, the way, um, we've always worked, uh, at Coupa with our customers and we call them like our community members really is an inc very incredibly tight partnership. Um, we have three releases a year, January, may and September. Each of them packed with roughly about anywhere 72, 19 new features and capabilities. And all of these capabilities are touched either conceived by customers, with customers or touched by customers in the form of working with them on early access validation and all of that. And for me, one of my most favorite things I get to enjoy about working in SAS and, and uh, being at Cooper is that as soon as you are rolling out these capabilities and turning them on in the cloud, customers are using them. So even though like for example right now my entire team has just finished the walkthroughs of all our may release for inspire. >>And when we come back from this trip, uh, we will start the, you know, the, these, the design and, and um, definition. Um, often we might hear of new requirements that might come up and because we are InsightSquared able to, um, here at just what it makes sense and actually be incredibly responsive to what we see. >> How do you do that? How do you look through all the different responses and correlate that data and determine what makes sense to stack? Rank in terms of priorities for new features and new capabilities. So it's definitely an art and a science for sure. Um, but there's a framework that, uh, we follow, uh, since the beginning and we continue to follow and continues to serve us really well. Uh, which is always balancing between three drivers of customers, market and innovation. So the customer one is the obvious one of course, where and many events like this and one on ones and online community. >>We're talking to customers and they're specifically coming and asking for help in areas. Now, we may not build the feature exactly as they asked, but we listened to the pain beneath it and late using the latest technologies, we think of what is the best approach to solve the real pain that they have. So that's one part of the planning for every release cycle. The other is overall market. So for example, as we grow into more regions, uh, newer areas, new spend categories, um, new adjacent powered applications that our customers are needing, um, we started expanding in that area as well. Um, for example, we, right now in London, um, a lot of, uh, when I joined Cooper back in 2012, uh, we were just starting the, uh, entry into the, uh, Mel market and a lot of the product capabilities were market driven in the sense that we were spending a lot of time on compliance and different regulations and all of that. >>And the third is innovation. And what is always one of the things as we bring people on board at Cooper and talk about the framework, um, innovation for us is what we call pragmatic innovation. And it's comes from deep understanding what are the customer problems, what are the market problems? And then we ask ourselves using everything, the latest technologies, what is the best way? So you'll never hear us talk about AI for AI sake and blockchain and all of that would always talking about do we deeply understand the problem and what is the most appropriate? Um, so we call them CMI customer innovation. Uh, within my products organization, every product managers usually has a vision for their product and they have a full release roadmap. And in each full release roadmap, they are listing things as C M I in many cases the same capability is C and M and I, so it becomes an art and a science of balancing those types of things. >>But ultimately when we look at our collective release of CMI, we're asking ourselves, how much does this release accelerate the success goals of our customers? Right. And generally that's the framework that we use. Yeah, that's fantastic. Thank you for explaining that. In terms of acceleration, some of the numbers that Rob shared this morning, we're, I think your customers are collectively approving invoices 30% faster than last year. I said medium, mid size market, customers are getting lot going live on Kupa in about four months. Correct. And mid large enterprises and about eight months. So. Right. And I've talked to a number of customers today about the speed of which they're able to get onto the platform and actually start seeing business value. So that's a free coupon for acceleration was well dissected today. Yes. Yes. It's definitely, yeah. Um, these are the vision areas that Rob talked about today. >>And in each of these vision areas, we're always asking ourselves, how do we continue to accelerate? So that's actually how one of the ideas was born around the turtle is I'm the hair, which is we want to accelerate cycle times, cycle times, and what are the different ways we can do this? What can we borrow from um, the, uh, our consumer lives to do this? And that's where the game unification came. Yes. And sure enough, it was one of those things that got people super excited and, and they're putting more attention into it. Well, the consumer side of our lives is we're so demanding because we can get anything that we want. We can buy products and services, we can pay bills with a clicker swipe. And so the B to C side from a payments perspective has innovated far more rapidly than the B2B side has. >>Correct. A lot more challenged there on the B2B side. But as consumers, we want a simple experience. One of the customers I spoke to who said when he was looking for technology, he's on what something that looks like Amazon marketplace. Yeah. Because from an adoption perspective, my teams will understand it. You so that the consumerization always interests me because we are those pretty much, you know, 12 plus hours a day and to see how software companies like KUKA are taking and meeting the needs of those customers, obviously it's not an overnight process. It gets people excited. It gets its absolutely is you right. That always fascinated me also how I've seen so many companies, um, like people almost have two personalities. Like they go into their personal life, they have a personality, they go into their professional lives and like, Oh, it's okay. It's like a backend system. >>This and this and this. Um, but increasingly the new generation is no longer tolerating and the drive is starting to just go find those shifts that happen changing, right? Yes, yes. But I can't, if I can have this in my personal life, then I need to be able to transact. Exactly. Exactly. Why does it take 45 days? Exactly. Exactly. Five days. Um, so last question for you. Since your keynote is tomorrow. Yes. What are some of the strategic visionary elements that you're going to leave the audience with? So I'm going to leave the audience with the key pillars of our strategy. Um, latest innovations we've done towards them and where we are taking them in the years ahead. One of the things I've always done over the years at inspire is we always share at preview of what, um, the community has been talking to us about and we're working with. >>And usually at the end of it, a lot of new community members might come in and ask to participate in some of the development because it means a lot to them for their own business. And then usually by the following inspire, we start showing these things actually live and, and, um, executed on. So the, um, the three strategic pillars I'll be sharing and talking about are all around the pipe that Trump talked about. Yep. How do I capture more and more spend under management? So we'll be talking about the consumerizing experiences voice using voice use Copa using facial recognition in Cooper. Uh, we'll be talking about new concepts around travel, around the group card school, applying all of it around the theme, focused on the um, end users and delight them, blow them away with consumer experiences. And then now that we do all of that, we can jump into the power users because we are increasing that spend under management. >>The theme by far is all around suite synergy suite synergy. So we seriously, this doesn't exist in the market. The market overall was all siloed applications. We're creating a new category and we've created these beautiful, elegant flows for our customers today. But there's also a wonderful long journey ahead in what we are taking up. Well maybe we'll get to talk about synergy at inspire 20 slowly. I will, we would love to have you again. Excellent. We're going to in Vegas for the afternoon. Best of luck in your keynote tomorrow and we'll see you the next inspire. Thank you. My pleasure. Thanks for Raja Hamoud. I, I'm Lisa Martin. You're watching the cube from Coupa inspire 19 from London. Bye for now.

Published Date : Nov 6 2019

SUMMARY :

It's the cube covering Koopa Lots of buzz and excitement in the expo hall. of the announcements we talked about at, uh, Vegas, uh, the, um, And then we can help companies source with the right suppliers much more easily in Cooper about being open as an ally for the entire ecosystem that our customers might have the capability to embed their supplier diversity data And the idea there is um, So we take that off of their table and we also And it's an important concept, not just on the employee side of companies, So the opportunity there to deliver that visibility and those insights Tell me about the customer interactions that you have as the EVP of product, lot of customers Um, in general, the way, um, we've always worked, And when we come back from this trip, uh, we will start the, you know, the, these, the design and, So the customer driven in the sense that we were spending a lot of time on compliance and different regulations people on board at Cooper and talk about the framework, um, innovation for us is what we call pragmatic And generally that's the framework that we use. And so the B to C side from a payments perspective has innovated far more You so that the consumerization always interests me because we are the drive is starting to just go find those shifts that happen changing, right? participate in some of the development because it means a lot to them for their own business. So we seriously,

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>> from the Cosmopolitan Hotel in Las Vegas, Nevada. It's the Cube covering Cooper inspired 2019. >> Brought to you by Cooper. >> Welcome to the Cube. Lisa Martin on the ground at Cooper inspired 19 up a Cosmopolitan and Las Vegas. Cooper is a company that has a lot of energy. If you go to their website cooper dot com and check out some of their videos, the energy is awesome. And I'm happy to have some of that energy with me. Next, we have Russia Mood s V P of product from Cuba, Russia. Welcome to the Q You for having me. It's so good to be here. Thank you for coming. We're excited to be here at I was enjoyed your keynote this morning, Chanda. I had him on a little bit ago and I thought this company has naturally this culture of energy. Very inspirational. No pun intended with theme inspire. But one of the things that really struck me about your keynote this morning is that the way that you as the spp of products, the way that you announced you know, some of the great things that you guys are doing with a W s with Cooper pay with more partners was explained so clearly and articulated so beautifully that people get it. So give us a little bit of an overview of this. Suspend management the platform that you guys have been building this category and how Cooper works to help companies really transform procurement. >> Well, thank you. Thank you for your kind notes and thank you for coming in and being part of this wonderful community, let >> me >> start with with the spend. Management were incredibly excited to be co creating this whole category with with the entire customers and analysts and partners. And essentially, we have moved to a stage in time where we're looking at spend across the entire company. Not some kind of spend that expenses, not procurement, just like cos. Look at c E r M for managing everything around their sales facing activities. Business spend Management is about doing exactly the same thing on the spending management side, and there's a lot of similar things between them because on the C. R. M and the customer facing areas, there's a ton off focus on consumerism ation. How do you attract customers? Well, those concepts also are the key to success and visit spent management because ultimately the goal is all about how do I get to a point where everybody is doing what they're supposed to do to lower costs? Thinks, reduce risk, et cetera, et cetera. But when you look at large companies and you're talking about 10,000 people, 20,000 people, it comes down to every single person wanting to be a part of it, which means you gotta reach them. You gotta consume, arise the experience. So that comes a place that you can connect with. So that's a big focus for us. >> Consumer ization is so important we talk about it at a lot of events. But, you know, as consumers of I've been saying a number of times, say whether it's a vehicle, that you're in the market for home mortgage, whatever it happens to be something for your dog on Amazon, maybe that's just me. You can get access to it very quickly. You can see all the different suppliers, different prices. You're so informed as a consumer. But then that consumer on a Sunday on the Monday might be, you know, in procurement or even in the line of business that it has to be managing and contingent workforce. So there's an expectation. Deliver me the same experience when I'm a consumer at home when I'm in my day to day job, and that's something that you you really can get a sense for. What? How Cooper is enabling that potential. They're not just transform procurement, but what transforming procurement can do for top line of this >> absolutely, absolutely, and something very interesting here as well, which is, when you think about me to be experiences, it's almost will be to be. Professionals have gotten to a point where their expectations from their consumer lives just die because they're not getting that type of experience at this time. It is time to bring everyone into it and give them the same level experience. Now what we're doing something very, very unique and incredibly special in this industry, which I believe is going to light up this industry on fire is the idea of a community intelligence. It's the ideas of you talk a lot about big data and the importance of a I and dictator. What we've done here is, after over a decade in this industry, helping each and every company and say in a sass platform, Get there. Spend under management now with trillions and trillions of dollars that are going through that platform. What is happening now is we have incredible intelligence that we're able to offer to each and every business and each and every user something very approachable and very simple from one of the goals of businessmen. Management is that everybody to be able to do their process is very fast, right? So we gave me fight it. We simply allow every user to see how well they're doing compared to the rest of the community at large. >> I saw that the tortoise thing is incredible. >> It's a simple idea, however, what it is doing it. It's moving people in the right direction in terms of doing things faster, not sitting on these expense reports that because, as you heard today, when you look at the stories when you're late on invoices, etcetera, yes, it's a back office functions, but you're not delivering the actual service. Whether it is for the American Red Cross was >> great casket. If that could be right, the magnitude of that could be huge. Exactly, exactly. So community >> intelligence continues to be a very incredible, exciting opportunity for us overall. And you will hear a lot of conversations happening with customers trying to think of what else they want to compare to others. Ah, lot of the buzz was created around spent guard. >> You tell me a little bit more not about today, because we think about it from fraud, detection and security perspective. Those air >> are >> essential elements to embed in any technology in any industry. What are you guys doing here? That you really kind of dialed it up? >> It is it is incredibly exciting. So of course, whatever, there's money there's going to be from that happens everywhere in the world. When we looked at that problem, we looked at it told mystically, which is and in the market you went flying technology that thinks about let's do expenses, fraud and somebody who's going in detecting if people are doing that. But when we deflected on it, Friday is a human behavior. It's every person who's doing this, and if that person is doing, they're gonna do with expenses and contracts and sourcing everywhere they get their hands on and Amos. So we said what we need to do is to look at it holistically. Let's look at the user patterns And what are they, suspicious activities that we're seeing So platform? Why? User patterns. By looking at everything where the entire span and then what? And what we did is okay, Great. Let's how do how do you do with we use a I to do it. And this is where we do deep learning that we can look at clusters and see Oh, this is what is normal for this group. These are the out liar. So start surfacing these kinds of things up for the auditors themselves. But then we said, it's not enough to just, um, detect the fraud, because by the time you detective mind, right, yeah, yes. So you have to recover it. And now you have to go into recovery. Who wants to do that? So that's where we added the principle of in flight and flight. Catch it, catch it routed right when it is. And this is just the beginning. This a >> reactive to proactive >> it is yes, instead of after the fact I'm going to tell you and stop it right now so you don't pay it don't even pay it instead of the past. Used to be about the recovery approaches because you detected the frog two months later and you go back to whoever did the fraud and you're trying to recover your money. Got it. This is don't pay the money. Find it that moment in time And that's the beginning. And now we're looking at not only within companies but also across the baby to be with suppliers, right? Right, Because there's a lot of schemes where supplier might have a relationship with multiple people at the companies, and they have all sorts of schemes might be going on. So as we start doing that, back to community intelligence will be looking at how to surface that the entire community at large for the benefit of everybody. >> That was something that really struck me Russia yesterday when Rob kicked everything off and I just thought, you know, it's not just a community that has access to all the transactions 1.2 trillion dollars $1,000,000,000 in transactions going through the Cupid platform, which is five x increase in just the last few years alone, which is huge, but it's this collaborative community where customers from company and company be that are using are gonna be able to benefit from each other. It's It's this vision, though, that you guys have had for a long time a Cooper to build it around this community, this tribe and as we look at how many patterns in everyday lives B to B B to C are changing, being community driven, whether it's 80 plus percent when I was talking to China are a little bit ago, 80 plus percent of buying decisions are done are driven by the buyer. Is there so much access to information? Don't you want it? You wanna learn from others who have experienced good or bad with a particular supplier or particular thunder and share that information? And so really, the collaborative spirit of Cooper's community is really it's just seems quite unique to me. >> It has been quite incredible, and when it started, it started in face to face. It wasn't in the technology itself. When we started, it was in community advisory board meetings were sitting up and thinking about areas we want to go to. You came into inspire. Today I'd say, for example, a couple inspires ago I came and I talked about a new concept that we're getting into. I left the stage and several customers came to me, and they're like, We want to help shape this And I said, Absolutely, and guess what they did. They took it upon themselves to organize the meetings and to lose. They unlock getting, they brought customers themselves. And we went in there and we co developed and co created the product by working with everyone, and that was always the spirit. And then what we did after that is his layer the technology on top, which is to start looking at the entire big data and start to anonymous eyes. All of that data aggregated and start surfacing these least insights about risk, about fraud, about opportunities for companies. One of the exciting things, for example, now we have in the community is if you want to go look to buy anything, you can go and search for what will come back to you is a bunch of suppliers with a lot of data about them. But what's special here, This is not win. Go look at the directory and give you did about a directory of what the supplier said about themselves. We want after the entire transactions across the whole ecosystem. Okay, that has been anonymous ized. And we're telling you, based on that data, these suppliers are my are supplying this item. You're getting real world information about who are supplying them with scores on how good they are. It's really, really exciting chef that we're taking as we go into the world of of community intelligence and apply and get a >> large. Yeah, well, it's another thing that you guys to really well, that I've served in the last couple of days is we're talking about customer advisory boards before, and I know a number of customers that were on the program with me the last couple of days. Talked about that. These customers are what this example that you just gave this very cool where they're driving, they're bringing you to Maur customers. But that sense of customers feeling Cooper isn't only listening to us. There were co carrying with them. They're part of this community. That's also something that was refreshing to hear. Thank you, because at the end of the day, that's why any business is in businesses. You're selling a product or service. You're not creating something that's hopefully going to meet some esoteric right problem are concerned. It's that co creation there, that that vibe is very, very evident. I've seen it. I heard it from customers that were on stage, those that were here with us today, and that's something that I just think it's really kind of sets people apart. >> Thank you, thank you. It's been a true joy. I mean, when I think of can't remember where this but it really resonated with me is a real bonding happens when you co create something together. And that is the essence of why we have this fight that you are feeling with customers. Because do you take examples like Nike? When they started on their journey with us, Nike wanted to go into a pigment factory and how to factor payments. When we first started, we were very upfront about our capabilities. We cannot support these things, but we started to discover, talk about it, rolled up our sleeves, and we started to dig in in their use cases were different. Their use cases, where, where they're looking at all of the invoices for that are thousands of lines long because of all the different parameters on the shoes that they are getting for orders. When we looked at these, we didn't have these give abilities. We partnered with them, and as we did that we did it in nothing. Isolation. We did it because we know there are other customers like this. Have this needs. We just haven't tipped them. Yes, yes. So we started to talk to all these customers, validate ideas. And we went on a journey that went on for a good two and 1/2 years and now has made the product so strong and so many customers are using these kind of capabilities. But the school created all of that together, which is incredibly special. >> Another thing as we're getting close to wrapping up here that you talked about your keynote today that was also mentioned yesterday. A number of times is speaking of co creation overthe 300 new developments and advancements in the platform since just last year's inspired 12 months. That's a tremendous amount of of R and D, but that's done in conjunction with this community. This co creation there is really allowing you guys to move. Probably faster. Imagine. >> Absolutely. Absolutely. And the pace is just incredible on. Of course, that's part of the growth where we now have separate teams dedicated for each of these functional areas so we can drive more and more of those kinds of ideas. But yes, I would only accelerating. We're growing. So we >> should be seeing even. Well, that's good cause of the A M. Cooper. It's for accelerated. Exactly. What are you doing here? I wish we had more time. I think you and I were just scratching the surface that you're gonna have to come back. >> I would love it. Such a pleasure to >> thank you. Thank you. I hold a cz. Well, thanks for having us here. It's awesome. And I can't wait to see where the next year goes. Thank you. All right. So Russia, huh? Mood? I'm Lisa Martin. You're watching the Cube from Cooper A inspire 19. Thanks for watching

Published Date : Jun 26 2019

SUMMARY :

It's the Cube covering some of the great things that you guys are doing with a W s with Cooper pay with more partners Thank you for your kind notes and thank you for coming in and being part of this wonderful community, to be a part of it, which means you gotta reach them. on a Sunday on the Monday might be, you know, in procurement or even in the line of business that it has to It's the ideas of you talk a lot about big data and the importance of a I when you look at the stories when you're late on invoices, etcetera, yes, it's a back office functions, If that could be right, the magnitude of that could be huge. And you will hear a lot of conversations happening with customers You tell me a little bit more not about today, because we think about it from fraud, detection and security perspective. What are you guys doing here? because by the time you detective mind, right, yeah, yes. you detected the frog two months later and you go back to whoever did the fraud and you're trying to recover your money. I just thought, you know, it's not just a community that has access to all the transactions 1.2 Go look at the directory and give you did about a directory of what the supplier said about this example that you just gave this very cool where they're driving, they're bringing you to Maur And that is the essence of why Another thing as we're getting close to wrapping up here that you talked about your keynote today that was also mentioned Of course, that's part of the growth where we now have separate teams dedicated for each of these functional areas I think you and I were just scratching the surface that you're gonna have to come back. Such a pleasure to And I can't wait to see where the next year

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Raja Renganathan, Cognizant | 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 live from Las Vegas. I'm your host Rebecca Knight. We're joined by Raja Renganathan, he is the Vice President of Cloud Services at Cognizant Technology Solutions. I should say welcome back, it's not just welcome, it's welcome back to theCUBE. >> Thank you Rebecca. >> So tell our viewers a little bit about Cognizant Technology. What does your company do and what do you do there? >> I head the cloud services for Cognizant in the capacity of a vice president. Cognizant is a world-leading professional services company. Our objective is to help our clients to navigate the shift to digital. We have three pillars: go to market, we have Cognizant Digital Business which focuses on the user experience, data related, and we have the Cognizant Digital Operations which is predominantly a middle-office, back-end processing in an enterprise, and the third pillar is Cognizant Digital Systems and Technology which is basically modernizing the platform systems that is required to create the digital foundation. >> And you're also just this week been called a Certified Global Partner of ServiceNow so explain how that works. >> Our relationship with ServiceNow goes back six years. Today I think the ServiceNow line of business, which is under the cloud services, is one of the fastest-growing business unit for us. The key thing in any platform such as ServiceNow is the human intellectual capital. That is where we give a lot of importance. While technology is created by ServiceNow, someone has to go execute and implement the technology. So that's where we spent time and started hiring people, re-skilling the people, and then getting certified across different facets of what ServiceNow recommends as a part of their education system. So today we have about 850 plus certified people across the globe and we also do the delivery across our global operation centers, we also call it as RDCs, Regional Delivery Centers, we have one in Budapest, one in Phoenix, and one in Buenos Aires. So all these three centers caters to different service areas of ServiceNow. As a part of this RDC we're also adding, creating an experience zone, a ServiceNow experience zone, so when client walks in they not only see our associates working on projects, but they also get the panoramic view or the panoramic experience of how ServiceNow orchestration happens, how automation happens, how HR module works, and things like that. Because of the people we have, in terms of re-skilling and certification, we are being measured as the best overall global partner award yesterday in Knowledge18. >> Well congratulations. When you were searching for these people, as you said you had to so a lot of hiring, what were the kind of skills you were looking for when you were trying to find the top talent? >> If you look at Cognizant as a 265,000 plus organization we know the art of hiring people. >> And it is an art, it absolutely is an art. >> So our approach is, one we go to the campus, hire the fresh grads in all of the campus. If you look at of late the kids that are coming out of the campus, they are pretty smart in the sense of they come with the latest digital technologies, artificial intelligence, machine learning, natural language processing understanding, and things like that. So we take them and then we, within 30 days, we completely format them for ServiceNow. This is one approach. The second approach is we go to the lateral market and we hire and we bring them up to speed on the ServiceNow-related technologies. The third option is, with 265,000 people we have, the raw material is inside Cognizant, so we take people from other business units, other domain and then try to format them and to do that. But of late what we have started, especially within the U.S. footprint, is we go to all the community colleges and also we go to all the veteran's associations, those type of organizations and we hire them. So if you look at our Phoenix RDC, I'm proud to say that it is a woman-powered delivery center, when it comes to ServiceNow, with a pretty good mix of veterans. So these are the different approaches we use to hire people towards the ServiceNow practice. >> And they've been successful. >> They have been successful and if you look at how long can they continue in ServiceNow 'til they retire? No, so we do job rotation, every three years we give them opportunity. I have a unique advantage since I run the cloud services. I always rotate my people from ServiceNow to go to Amazon or to Microsoft as you're in different technologies every 24 to 36 months we do the job rotation. In that way I think I'm managing my retention well. >> So we know that the role of IT is really changing in so many organizations around the world. What are you hearing from customers, what are their pain points? What are the challenges that you're trying to solve? >> I think that's a great question now, Rebecca. We are in a very interesting time. The customers have a tremendous problem in their hand because they need to stay relevant in their business because business models are changing and if you look at for a retailer, the competition is not from the same industry. Similar for a pharmaceutical company, the competition is not from the same pharma industry. Everybody wanted to know, a pharma company wanted to know why Google is hiring 100 physicians. So the disruption is going to happen not in your industry, outside your industry. So that is the biggest challenge. The second thing is they need to continue to reinvent their business model. They cannot operate. We are hearing many stories like a lot of regional stores are closing because they didn't stay relevant to the business, to the customers. The third thing if you look at, let's take healthcare industry. Typically patients expect, historically, they were asked to maintain their prescription and medical records, but today in the new age patients are expecting the hospitals to manage everything because keep the data and intelligently apply the data because data is the new fuel or new oxygen, whatever you want to call it. >> Fuel, oxygen, one of those analogies. >> Data is going to play a critical role for any business. So every business is looking for how do I take the data and apply it intelligently? In the process how do I elevate experience? When I say experience it's both customer experience and also employee experience. So that's why if we look at, going back to the purpose of ServiceNow when John Donahoe was presenting in the keynote, he said, "We are in the world to make people's work better." The work is basically the experience. So we know about all the digital, every client is adopting the digital because of the advent of the cloud and the technologies around the AI, machine learning, et cetera, everybody is having a clear chatter of the digital transformation chatter as a part of their enterprises. So that is where we, companies like Cognizant, we go to them and then help them in truly being digital, how do you get there. That is where technologies like ServiceNow plays a critical role. >> And so it is the mission of ServiceNow, and it sounds like also the mission of Cognizant, to make the world of work work better for people. So give me some examples of ways that you are creatively solving employee headaches. How are you making the world of work better? >> I'll give a couple of examples. To start with, for a leading manufacturing company there are a lot of equipment dispersed across the field so we use IOT technology, sensors, and we collect the data, and the data gets analyzed and then we give a dashboard to our customers. When I say customers, the chief customer support officer, he or she can look at the dashboard and send the technician for evaluate it Imagine if the cloud was not there and moreover we use ServiceNow as a platform to do all the orchestration. If the cloud was not there, if products like ServiceNow was not there, this could have been a humongous task, but we are helping the problem for the customer. Today, with one click, the chief customer support officer can know which machine is giving which problem, accordingly dispatch a technician. This is one example. The second example is we are helping some agricultural companies where, in fact this came out during our hackathon, which I'll talk about you a little bit later, all this agricultural farms, the lands are there. When you wanted to grow something, you also need to know everyday what is the moisture of the soil, what is the temperature, et cetera. So we apply IOT technology and then collect the data and use ServiceNow dashboard to give it back to the customer. These are all real-time problems the customers are facing. There are so many examples, but if you look at most of the solutions and the outcomes what we give to the customer, it's all triggered by our innovation. So we are the only company, I can proudly say, conducted three hackathons with ServiceNow. When I say hackathon, all the people are put under one room and ideas were given and end of the day you'll get 100 plus ideas. Recently we did, about a month back, we did a global hackathon. First time we wanted to try India, three continents, seven cities, India, Budapest, Phoenix, 20 hours of continuous time. We generated about 115 ideas. Out of the 115 ideas, I think we are going to come with certain ideas and then put that back into ServiceNow app store. We have close to six plus apps already running on the ServiceNow store, now our plan for the next six months is to add another about 10 plus apps onto the ServiceNow store. >> That is the other questions that that begs. Are hackathons the best way in your mind to spark energy and innovation and creativity? >> Especially with the millennials. The millennials, yes definitely because they don't want to very mundane, routine work. They want a challenge, they are asking for challenge. So this hackathon is one of the ways to keep them happy. Because the future of workforce is changing with millennials coming in. And the jobs, they're also expecting, even in my team people wanted a change every 12 months. While we need to address our customers, we also need to take care of their expectations also. >> Let's think about the future a little bit now. What do you see your customers' future demands and where do you see Cognizant and ServiceNow being able to provide solutions to the problems they don't even know they're having. >> Right, right. So digital is the heartbeat. When I say digital is the heartbeat, the outcome is all about experience because if someone asks me, digital is not technology. Digital is all about experience so in order to give that experience, customers wanted multiple technologies, they wanted to reinvent, rewire, rethink their business models. So that is where we wanted to go as a Cognizant. For example, if you take ServiceNow, if you're taking that platform to them, how can I digitize your enterprise process, digitize your entire workflow and create automation, et cetera and then bring a collaborative work environment within your ecosystem. So this is what they are expecting. Nobody wants non-value add, mundane task, everything they want to get operated in an automation manner. That is where we are helping, basically anything that changes the experience, or pave a new way to the experience, that is where we at Cognizant we are constantly reinvesting on people, process, technology, and then taking that back to our customers. >> That's a great note to end on. Raja, we'll look forward to seeing you again at Knowledge19 next year. >> Thank you, definitely. >> I'm Rebecca Knight, we will have more of theCUBE's live coverage of ServiceNow Knowledge18 in just a little bit.

Published Date : May 10 2018

SUMMARY :

Brought to you by ServiceNow. he is the Vice President of Cloud Services So tell our viewers a little bit and we have the Cognizant Digital Operations a Certified Global Partner of ServiceNow Because of the people we have, what were the kind of skills you were looking for we know the art of hiring people. and also we go to all the veteran's associations, No, so we do job rotation, So we know that the role of IT is really changing So the disruption is going to happen not in your industry, So every business is looking for how do I take the data and it sounds like also the mission of Cognizant, and end of the day you'll get 100 plus ideas. That is the other questions that that begs. Because the future of workforce is changing and where do you see Cognizant and ServiceNow So digital is the heartbeat. That's a great note to end on. we will have more of theCUBE's live coverage

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Rob O’Reilly & Raja Ramachandran | Food IT 2017


 

>> Announcer: From the computer history museum, in the heart of Silicon Valley, it's The Cube. Covering food IT, Fork to Farm. Brought to you by Western Digital. >> Hey, welcome back to The Cube. From the food IT event, From Fork to Farm, yep, you heard that right, Fork to Farm. I'm Lisa Martin. Really excited to be joined by my next guests who are influencing the food chain with Big Data, Cloud, IoT and Blockchain in some very, very interesting ways. We have Rob O'Reilly, senior member and technical staff of Analog Devices. Welcome. >> Thank you. >> And we have Raja Ramachandran, the founder and CEO of Ripe.io. Welcome. >> Thank you Lisa. >> So I made that joke about the Fork to Farm because we think so often how trendy it is, farm to table, farm to mouth. And this has been a really interesting event for us to talk with so many different people and companies across the food chain that we often, I think, take for granted. So Rob, wanted to kind of start with you. Analog Devices has been around for 50 years. You serve a lot of markets. So how is, and maybe kind of tell me sort of the genesis, and I know you were involved in this, of Analog Devices evolving to start using Cloud, Big Data, IoT in the food and agriculture space. What was the opportunity that you saw light bulb moment? >> Yup. It's an interesting story. We started with a piece of technology, a sensor that we can connect. I was looking of an app to apply, 'cause it was a full sensor to the Cloud strategy I was working on. And through some conference attendees that I had met and from a fellow who's now our partner, we kind of put together a strategy of "Well we've got the sensor to the Cloud, "where would we apply this?" And we decided though a little bit of banter, tomatoes. And most of it was because, in New England specifically, there's a lot of, there's 7,000 farms in Massachusetts. >> Lisa: Wow. >> Not all of them produce tomatoes, but a lot of them do. So it was like having a test bed right in our backyard. And from that point it's grown to what it is now. >> And I hear that you don't like tomatoes. >> I really don't like tomatoes. >> Lisa: What about heirloom tomatoes? >> I don't like any tomatoes. >> Lisa: Mozzarella, little basil, no? >> No, no. (laughs) I don't mind pasta sauce so much, but that's just because it's all salt. >> Lisa: That's true. >> And sugar. But no, and I've managed to get through this entire project without anybody forcing me to eat a tomato, so. >> That's good, they're respectful. >> I'm proud of that. >> So I was joking earlier, we cover a lot of events across enterprise innovation, and we were at a Hadoop Dataworks events a couple weeks ago and one of the guests was talking about Big Data and how it's influencing shipping, and how shipping companies are leveraging Big Data to determine how often they should clean the ships to remove barnacles 'cause it slows them down. So the funny thing that popped into my mind from that show is, barnacles and Big Data? Never thought that. Today, the wow factor for me, the internet of tomatoes. What is the internet of tomatoes? >> The problem statement when we started was "Why do tomatoes taste like cardboard?" >> Lisa: He really doesn't like tomatoes! (laughs) >> And, you know, in order to go dig into that was let's collect data. So there's a variety of methods that we use to collect the data. We had to create all of this on our own, so we created our own apps for the phones, our own matchups for the web, our own gateways. We built our hardware, we 3-D printed all the housings, and two of us just went off and started to deploy so we could collect data. The second half of it was, "well, what is in the tomato? "and why does it taste the way it does?" So we started doing some chemistry analysis. So a bunch of refractometers and other instruments so we can see what the sugar levels were, what the acid levels were. We infused ourselves into the Boston Tomato Contest, which they have annually. So we showed up, we looked like the Rolling Stones. We showed up with cases of, trap cases of equipment. It took us about 11 and a half hours to test 113, I think it was, tomatoes, and then we compared those to the chefs' scorecards. And in the chef's scorecard, there wasn't just a taste profile, there was the looks and everything else. Well I found a few markers between what the chef's profile said was a good tasting tomato and what the chemistry said. So a year later we showed up with our optical solution and we managed to test 450 tomatoes. >> Wow. >> About 100 of those go to the slicing table, so we had information on 100 of them and we did the same thing. So it got to the point to where we at least had that reconciliation of "what's the farmer doing "and how does it taste?" And by bringing Raja and his group in, we're bringing a lot more of other Big Data, if you will. Other weather data, aerial drone data, you know, anything we could find in a telematic range that would affect the processing or whatever of the tomato. So that in a nutshell is the internet of tomatoes. >> And is this something that, you know, being able to aggregate Big Data from a variety of sources, something that you're planning to then take to, I heard you earlier in the talk, talking about kind of at the relationship building stage. Is this a dialogue that you're having yet with farms? You mentioned 7,000 farms in Massachusets. What's that kind of conversation like? >> Well that's a very interesting dynamic and I think, you know, that data point for the industry is you better go talk to the farmer. It's really been interesting, the hesitation from a farmer to talk to a semiconductor company was odd. But I wasn't John Deer, I wasn't Monsanto, so they were a little more open. And they understand, a lot of these farmers that I'm dealing with now are generational, you know they're fifth, sixth generation. They really haven't made significant change on their farm in 100 years. >> Probably nor do they have a lot of data that's automated, right? There's probably a lot of things that are in Excel. >> And a lot of it is, I mean beyond their first level of contact, say with a seed or a pesticide manufacturer, They have no idea what's going on in the rest of the world. Unlike, you know, a lot of the big, large farms that we see. But at the smaller region, they're regional. And we've still have Hatfield-McCoy type things going on in New England, where families don't talk to each other, they don't share information. So through one of our work groups, we actually invited two of them, and I felt like match maker. We were trying to just get these two to talk. And they did, and they both realized that they were spending way too much money on fertilizer, and they were both over watering. So, it's still Hatfield and McCoys but at least I think they wink at each other every once in a while. >> Right, I love that you bought that up. That was something that was talked about a number of times today is the lack of collaboration maybe that's still in the sort of competitive stage. So Raja, talk to us about Ripe.io. First of all, I think the name is fantastic, but Blockchain and food. What's the synergy? And what opportunity did you see coming from the financial services industry? >> So, you know one of the key points about what we felt brings all this together is creating a web of trust. And so in financial markets, insurance markets, healthcare markets, you know big institutional regulated markets, there's a lot of regulations that really bind together that notion of trust, because you have a way in which you could effectively call out foul. Now, so there's a center of gravity in each of those industries, whether it's a central bank, you know or a state regulator insurance, so the government in healthcare. Here, there's not. It's disparate. It's completely fragmented, yet somehow magically we all get food everyday, ane we're not dead you know. So from that perspective we just marvel at the fact that you're there. So, bringing Blockchain was a way to basically talk to the farmer, talk to the distributor, talk to the buyer, the producer, and all these different constituents, including certifiers, USDA, whomever it might be. And then also even health to health companies, right, so that you can relate it. So the idea is to basically take all of these desperate sets of data, because they don't necessarily collaborate in full, capture it in the way that we're working with ADI so that you can create a real story about where that food came from, how is it curated, how did it get transported, what's in it, you know, do I get it on time, is it ripe, is it tasty and so on, right? And so we looked at Blockchain as a technology, an enabling technology that quickly captures the data, allows each to preserve its own security about it, and then combine it so that you can achieve real outcomes. So you can automate things like, were you sustainable? Were you of quality? Did you meet these taste factors? Was it certified? That's what excited us. We though, this is a perfect place because you've got to feed 9,000,000,000 people and no one trusts their food, you know? >> Lisa: Right. >> So we felt this would be an excellent opportunity to deploy Blockchain. >> And it's interesting that you know, the transparency is one of the things that we hear from the consumers, you know. We want all these things. We want hormone free, cage free, et cetera. We want organic, we want to make sure it is organic, but we also want that transparency. I'm curious since you are talking to the farmers, the distributors and the consumers, what were some of the different requirements coming from each, and how do you blend that to really have that visibility or that traceability from seed to consumption? >> And it's a good point right, because there's all these competing factors where farmers want certain information done, they don't want the price to go to zero because it's so commoditized. The distributor, not entirely sure if they want anybody to know what they do is if they deliver it, they've done their job. The aggregator, a grocery store, a restaurant or whomever, are really feeling the pinch of demographic changes. Not only in America, but globally, you know about this notion that "I need to know more about my food". Millennials are doing it, look at Amazon and Whole Foods. >> Lisa: Yup. >> That is a tipping point of like where this is all going to go. So for us, what Blockchain does allows for each of those drivers to remain clean. And so in essence, what you can do is you take something called smart contracts, not a great word but basically these are codes in which you've got a checklist or if-then statements that you can say, "What does the farmer want?" "What is the distributor doing to get something there?" And of course the buyer. And so in that sense, we've talked a lot about a scorecard or this notion that you can basically highlight and show all of these different values, so that if the consumer is looking for, you know, I definitely want this in my lettuce, in my beets, in whatever it is, and I need to make this type of salad, how acidic should my tomatoes be? Well that's hard to count, like combine all that information. Since we're capturing that data set and validating it to make sure that they're true, then you actually enable that trust for that consumer. So the consumer may want a lot of information, the issue is will they pay for it? There's some evidence that they will. The second part is, you know, does the grocer have the ability to manage wide varietals in their shelf space, and so on. All the techniques that a grocer would go through, yet they want a clean supply chain. >> Lisa: Right. >> So you know, so like what're we're saying is that this is definitely not easy. And so we're taking it where the influencer of the entire chain is able to help drive it, in the meanwhile we're trying to help create a farmer community that creates a level of trust. Bind those together, we believe Blockchain and a lot of the technology that ADI is deploying helps achieve that. >> And it sounds like from a technology perspective, you're leveraging Blockchain, Big Data, aggregating that to help farmers, even consumers, grocers, retailers, become more data-driven businesses. >> Oh absolutely. I mean in one instance we've got, you know a customer that they're learning how Blockchain can be used to open up their markets and improve their existing customer service. So what they have are like data sets, you know Rob would definitely understand this, but basically you have data set on like what's best for apples, pears, avocados to ripen, you know. Now, they know it in their heads, right? But the issue is, they don't know when there's conditions that change. The grocery store says I want Braeburn apples to be 20% more crisper, well they actually have the answer but they don't know how to tie all that together. >> Lisa: Right. >> So this data-driven capability exposes automation, so that you can fulfill on that. Create new markets, 'cause if your growers don't have it you can go find it from elsewhere. And for the consumer, you're going to deliver that component on time. And so in that sense, you know these things are revealed as ways to, not only like lower cost you know, because in the end Blockchain has this sort of notion that it lowers costs. Like any technology, if you insert it, it typically adds costs. And I'm not saying that our Blockchain does, but the greater value is branding, preserving it, you know. A better economic consequence about it, a better customer satisfaction because I now have knowledge in transparency. >> Lisa: Right. >> So you can't value these things right, because I'm a millennial like all of a sudden I got all my information, well how did you value it? I just paid $60 at Whole Foods, or is it something else? >> Lisa: Right. >> So we think that there's whole new economic revitalization about the entire farming system and the food nag system, because if you show the transparency, you've got something. >> That's so interesting. Last question, and we're almost out of time, Rob you mentioned a lot of small farms in Massachusets. Where are those small farms in terms of readiness to look at technologies and the influence of Big Data? Is it still fairly early in those discussions, or is your market more the larger farms that ... >> I said it earlier, we're at the beginning of the beginning. I was actually shocked, excuse me, when I went out and started talking to them. I was under some assumption that a lot of this was already going on. And it turns out it's not, certainly at that level. So we were like new to these guys, and the fact that we had a technology that would help them was unique to them. The issue was, well how do you communicate with them? How would you sell that? What's the distribution channel? So through a lot of the workshops that we do with the farmers we ask the question, "If their is new technology and you want to go get it, "what do you do?" They google it. I said, "Okay, that's probably not the answer "I was looking for." (laughs) But no, the supporting infrastructure, the rest of the ecosystem they need to take advantage just isn't there yet. So a lot of that I think is slow for the adoption, but it's also kind of helped us because we're working on technologies. You know, timing is everything. So the fact that we've had time to catch up to what we thought was really needed, and then learned more from the farmer, well no, no this is really what they want. So we've been able to iterate. You know, we're a very small team. We've been able to fail miserably many, many times. But the good news is, when we're successful that's all people see. And the farmers are starting to see that, that hey, we're getting actionable data. You're telling me things that I kind of knew, 'cause they fly by the seat of their pants a lot. >> They want it validated, verified. >> Oh yeah, they're very frugal. >> Trustworthy, as you said Raja. >> There's a big push back to spend any money on anything at a farm. That's just the way it is, it's not anything unique. So when you show up now with some technology that could help them, they just want to make sure that you're spot on, you can predict what it is, and when they hand me the money they can start planning on the return on their investment. >> Well gentlemen, we want to thank you so much for sharing your insights, Blockchain of food, what ADI is doing in their 50th year. Sounds like the beginning is very exciting and we wish you the best of luck. I'm not going to hold my breath that you're going to like tomatoes but, you know. (laughs) We wish you the best of luck and enjoy the rest of today. We want to thank you for watching The Cube at the Food IT event, From Fork to Farm. I'm Lisa Martin, thanks for watching. (upbeat pop music)

Published Date : Jun 29 2017

SUMMARY :

Brought to you by Western Digital. From the food IT event, From Fork to Farm, And we have Raja Ramachandran, So I made that joke about the Fork to Farm a sensor that we can connect. And from that point it's grown to what it is now. I don't mind pasta sauce so much, But no, and I've managed to get through this entire project and one of the guests was talking about Big Data And in the chef's scorecard, there wasn't just So that in a nutshell is the internet of tomatoes. And is this something that, you know, and I think, you know, that data point for the industry a lot of data that's automated, right? Unlike, you know, a lot of the big, large farms that we see. And what opportunity did you see coming from So the idea is to basically So we felt this would be an excellent opportunity one of the things that we hear from the consumers, you know. Not only in America, but globally, you know And so in essence, what you can do is you take So you know, so like what're we're saying is aggregating that to help farmers, even consumers, apples, pears, avocados to ripen, you know. And so in that sense, you know these things are revealed because if you show the transparency, you've got something. Rob you mentioned a lot of small farms in Massachusets. And the farmers are starting to see that, So when you show up now and we wish you the best of luck.

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Raja Mukhopadhyay & Stefanie Chiras - Nutanix .NEXTconf 2017 - #NEXTconf - #theCUBE


 

[Voiceover] - Live from Washington D.C. It's theCUBE covering dot next conference. Brought to you by Nutanix. >> Welcome back to the district everybody. This is Nutanix NEXTconf, hashtag NEXTconf. And this is theCUBE, the leader in live tech coverage. Stephanie Chiras is here. She's the Vice President of IBM Power Systems Offering Management, and she's joined by Raja Mukhopadhyay who is the VP of Product Management at Nutanix. Great to see you guys again. Thanks for coming on. >> Yeah thank you. Thanks for having us. >> So Stephanie, you're welcome, so Stephanie I'm excited about you guys getting into this whole hyper converged space. But I'm also excited about the cognitive systems group. It's kind of a new play on power. Give us the update on what's going on with you guys. >> Yeah so we've been through some interesting changes here. IBM Power Systems, while we still maintain that branding around our architecture, from a division standpoint we're now IBM Cognitive Systems. We've been through a change in leadership. We have now Senior Vice President Bob Picciano leading IBM Cognitive Systems, which is foundationally built upon the technology that's comes from Power Systems. So our portfolio remains IBM Power Systems, but really what it means is we've set our sights on how to take our technology into really those cognitive workloads. It's a focus on clients going to the cognitive era and driving their business into the cognitive era. It's changed everything we do from how we deliver and pull together our offerings. We have offerings like Power AI, which is an offering built upon a differentiated accelerated product with Power technology inside. It has NVIDIA GPU's, it has NVLink capability, and we have all the optimized frameworks. So you have Caffe, Torch, TensorFlow, Chainer, Theano. All of those are optimized for the server, downloadable right in a binary. So it's really about how do we bring ease of use for cognitive workloads and allow clients to work in machine learning and deep learning. >> So Raja, again, part of the reason I'm so excited is IBM has a $15 billion analytics business. You guys talk, you guys talked to the analysts this morning about one of the next waves of workloads is this sort of data oriented, AI, machine learning workloads. IBM obviously has a lot of experience in that space. How did this relationship come together, and let's talk about what it brings to customers. >> It was all like customer driven, right? So all our customers they told us that, look Nutanix we have used your software to bring really unprecedented levels of like agility and simplicity to our data center infrastructure. But, you know, they run at certain sets of workloads on, sort of, non IBM platforms. But a lot of mission critical applications, a lot of the, you know, the cognitive applications. They want to leverage IBM for that, and they said, look can we get the same Nutanix one click simplicity all across my data center. And that is a promise that we see, can we bring all of the AHV goodness that abstracts the underlying platform no matter whether you're running on x86, or your cognitive applications, or your mission critical applications on IBM power. You know, it's a fantastic thing for a joint customer. >> So Stephanie come on, couldn't you reach somewhere into the IBM portfolio and pull out a hyper converged, you know, solution? Why Nutanix? >> Clients love it. Look what the hyper converged market is doing. It's growing at incredible rates, and clients love Nutanix, right? We see incredible repurchases around Nutanix. Clients buy three, next they buy 10. Those repurchase is a real sign that clients like the experience. Now you can take that experience, and under the same simplicity and elegance right of the Prism platform for clients. You can pull in and choose the infrastructure that's best for your workload. So I look at a single Prism experience, if I'm running a database, I can pull that onto a Power based offering. If I'm running a BDI I can pull that onto an alternative. But I can now with the simplicity of action under Prism, right for clients who love that look and feel, pick the best infrastructure for the workloads you're running, simply. That's the beauty of it. >> Raja, you know, Nutanix is spread beyond the initial platform that you had. You have Supermicro inside, you've got a few OEMs. This one was a little different. Can you bring us inside a little bit? You know, what kind of engineering work had to happen here? And then I want to understand from a workload perspective, it used to be, okay what kind of general purpose? What do you want on Power, and what should you say isn't for power? >> Yeah, yeah, it's actually I think a power to, you know it speaks to the, you know, the power of our engineering teams that the level of abstraction that they were able to sort of imbue into our software. The transition from supporting x86 platforms to making the leap onto Power, it has not been a significant lift from an engineering standpoint. So because the right abstractions were put in from the get go. You know, literally within a matter of mere months, something like six to eight months, we were able to have our software put it onto the IBM power platform. And that is kind of the promise that our customers saw that look, for the first time as they are going through a re-platforming of their data center. They see the power in Nutanix as software to abstract all these different platforms. Now in terms of the applications that, you know, they are hoping to run. I think, you know, we're at the cusp of a big transition. If you look at enterprise applications, you could have framed them as systems of record, and systems of engagement. If you look forward the next 10 years, we'll see this big shift, and this new class of applications around systems of intelligence. And that is what a lot-- >> David: Say that again, systems of-- >> Systems of intelligence, right? And that is where a lot of like IBM Power platform, and the things that the Power architecture provides. You know, things around better GPU capabilities. It's going to drive those applications. So our customers are thinking of running both the classical mission critical applications that IBM is known for, but as well as the more sort of forward leaning cognitive and data analytics driven applications. >> So Stephanie, on one hand I look at this just as an extension of what IBM's done for years with Linux. But why is it more, what's it going to accelerate from your customers and what applications that they want to deploy? >> So first, one of the additional reasons Nutanix was key to us is they support the Acropolis platform, which is KVM based. Very much supports our focus on being open around our playing in the Linux space, playing in the KVM space, supporting open. So now as you've seen, throughout since we launched POWER8 back in early 2014 we went Little Endian. We've been very focused on getting a strategic set of ISV's ported to the platform. Right, Hortonworks, MongoDB, EnterpriseDB. Now it's about being able to take the value propositions that we have and, you know, we're pretty bullish on our value propositions. We have a two x price performance guarantee on MongoDB that runs better on Power than it runs on the alternative competition. So we're pretty bullish. Now for clients who have taken a stance that their data center will be a hyper converged data center because they like the simplicity of it. Now they can pull in that value in a seamless way. To me it's really all about compatibility. Pick the best architecture, and all compatible within your data center. >> So you talked about, six to eight months you were able to do the integration. Was that Open Power that allowed you to do that, was it Little Endian, you know, advancements? >> I think it was a combination of both, right? We have done a lot from our Linux side to be compatible within the broad Linux ecosystem particularly around KVM. That was critical for this integration into Acropolis. So we've done a lot from the bottoms up to be, you know, Linux is Linux is Linux. And just as Raja said, right, they've done a lot in their platform to be able to abstract from the underlying and provide a seamless experience that, you know, I think you guys used the term invisible infrastructure, right? The experience to the client is simple, right? And in a simple way, pick the best, right for the workload I run. >> You talked about systems of intelligence. Bob Picciano a lot of times would talk about the insight economy. And so we're, you're right we have the systems of records, systems of engagement. Systems of intelligence, let's talk about those workloads a little bit. I infer from that, that you're essentially basically affecting outcomes, while the transaction is occurring. Maybe it's bringing transactions in analytics together. And doing so in a fashion that maybe humans aren't as involved. Maybe they're not involved at all. What do you mean by systems of intelligence, and how do your joint solutions address those? >> Yeah so, you know, one way to look at it is, I mean, so far if you look at how, sort of decisions are made and insights are gathered. It's we look at data, and between a combination of mostly, you know we try to get structured data, and then we try to draw inferences from it. And mostly it's human beings drawing the inferences. If you look at the promise of technologies like machine learning and deep learning. It is precisely that you can throw unstructured data where no patterns are obvious, and software will find patterns there in. And what we mean by systems of intelligence is imagine you're going through your business, and literally hundreds of terabytes of your transactional data is flowing through a system. The software will be able to come up with insights that would be very hard for human beings to otherwise kind of, you know infer, right? So that's one dimension, and it speaks to kind of the fact that there needs to be a more real time aspect to that sort of system. >> Is part of your strategy to drive specific solutions, I mean integrating certain IBM software on Power, or are you sort of stepping back and say, okay customers do whatever you want. Maybe you can talk about that. >> No we're very keen to take this up to a solution value level, right? We have architected our ISV strategy. We have architected our software strategy for this space, right? It is all around the cognitive workloads that we're focused on. But it's about not just being a platform and an infrastructure platform, it's about being able to bring that solution level above and target it. So when a client runs that workload they know this is the infrastructure they should put it on. >> What's the impact on the go to market then for that offering? >> So from a solutions level or when the-- >> Just how you know it's more complicated than the traditional, okay here is your platform for infrastructure. You know, what channel, maybe it's a question for Raja, but yeah. >> Yeah sure, so clearly, you know, the product will be sold by, you know, the community of Nutanix's channel partners as well as IBM's channels partners, right? So, and, you know, we'll both make the appropriate investments to make sure that the, you know, the daughter channel community is enabled around how they essentially talk about the value proposition of the solution in front of our joint customers. >> Alright we have to leave there, Stephanie, Raja, thanks so much for coming back in theCUBE. It's great to see you guys. >> Raja: Thank you. >> Stephanie: Great to see you both, thank you. >> Alright keep it right there everybody we'll be back with our next guest we're live from D.C. Nutanix dot next, be right back. (electronic music)

Published Date : Jun 28 2017

SUMMARY :

Brought to you by Nutanix. Great to see you guys again. Thanks for having us. so Stephanie I'm excited about you guys getting So you have Caffe, Torch, TensorFlow, You guys talk, you guys talked to the analysts this morning a lot of the, you know, the cognitive applications. for the workloads you're running, simply. beyond the initial platform that you had. Now in terms of the applications that, you know, and the things that the Power architecture provides. So Stephanie, on one hand I look at this just as that we have and, you know, Was that Open Power that allowed you to do that, to be, you know, Linux is Linux is Linux. What do you mean by systems of intelligence, It is precisely that you can throw unstructured data or are you sort of stepping back and say, It is all around the cognitive workloads Just how you know it's more complicated the appropriate investments to make sure that the, you know, It's great to see you guys. you both, thank you. Alright keep it right there everybody

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Raja Renganathan, Cognizant Technology Solutions | ServiceNow Knowledge17


 

(upbeat music) >> Narrator: Live, from Orlando, Florida, it's theCUBE. Covering ServiceNow, Knowledge17. Brought to you by ServiceNow. >> We're back. I'm Dave Vellante, this is Jeff Frick. Raja Renganathan is here. He's the Vice President of Cloud Services at Cognizant Technology Solutions. Welcome to theCUBE. >> Thank you, Dave. >> So, tell us about Cognizant and what you're doing to sort of support your client's digital transformations. Let's start there. >> Yeah. So Cognizant is, you know, a leading digital technology outsourcing, you know, provider. We help our clients to lead the digital. Okay, so basically customers are going through disruption, that digital disruption, and everybody is going through the digital transformation. So, we help our clients to navigate the digital shift. So, how we do that is via three-pillar, right. We have, you know, imagine a front office, a middle office and a back office. The front office is digital business. Our digital business unit helps our customers to innovate new products and solutions, you know, using data as a new oil, new ad, whatever you want to call it as. Then, the middle office, that is where, getting into the enterprise, we're touching the business processes. How do we create platforms to simplify and modernize those processes. And how do we create business process as a service? That's what we call it, as a middle office. That's our digital operations, you know, pillar. The third one is, how do I modernize the legacy technologies, you know, into the latest turning-towards-digital, thereby providing agile and you know, extensible, you know, things like that. So, that's our digital systems and technology. So, we introduce these three core pillars, and the underlying platform for everything is Cloud. That's where we see, you know, products like, such as ServiceNow. It plays a very critical role towards, you know, fulfilling our customers' value. >> So, what's your strategy with respect to ServiceNow and the partnership? >> If you look at our partnership, you know, back in 2008, this is a small history to that. See, we introduced the Fortune, you know, 1000 enterprises. At the time, you know, The BMC and the HP, you know, those are all providing, it was pervasive those days. >> Sure. >> Then we started hearing from the customers, "Hey, do you guys know a company called ServiceNow?" You know, that is where I think, hey, everybody's talking ServiceNow. So, what is it all about? That is where we started our journey, back in 2008. At the time, we put together, we took some, you know, the BMC and the HP guys, we reskilled them, trained them on ServiceNow. Right? Started with about a 10-people practice. Today we are 700-plus people practice, spread across four delivery centers. And the beauty is all of the 700, 675-plus, are certified in ServiceNow. So, that is what the value people see. That the certification skillset, the implementation, you know, the knowledge that we take to the customer, they see that as a value. >> Then, how are you seeing the implementations evolve inside the customers, once you go in and do an initial project? How is it evolving? We keep hearing about all these different application stacks and kind of service areas. What are you seeing in the field? >> If you look at our customers, I think, you know, we also, the place is valued, we have ServiceNow. Most of them are, you know, they are Cognizant customers. You know, because we know that application. Because we bring the domain knowledge and the application. Everyone starts with the basic thing, ITSM. IT Service Management Model. But, because of the digital shift, they are going beyond ITSM. So, they want to move from systems of records to systems of intelligence. Now, we are going one level above. How do we create a system of action with ServiceNow, workflows and automation and things like that. So, today, if you look at ITSM, yes, it's becoming a commodity. That is where, I think, ServiceNow has really helped us. But, customers want to use the power of the platform. How do I add customer service on top of it? How do I create, you know, HR module and Finance module and Legal and facilities, and use the power of the platform. So, this is how we see the implementation approach. They start with ITSM and then go through, you know, module by module. But there are some customers where they say, "Hey, you know what? "I have so many tools in the ecosystem, "but I want ServiceNow to be the fulcrum "or manager of managers." So that is where we use the ServiceNow platform to integrate. ServiceNow has got a lot of API integretation, you know, mechanics. We use the integration, API integration methodology and then integrate various tools into it. Provide a common, single-pane window. >> Is this allowing your customers to gain a competitive advantage? Or is it cutting costs for them? I mean, what is there, what is your customers' sort of, business case, and the business value? Is there differentiation that's inherent? >> So, traditional ideas sim, they, if you take the legacy, the tools that used to exist, compared to a ServiceNow-based idea sim. We have seen customers who are already reducing call volumes by 30 per cent. Okay? Just an average, incident, call-incident reduction, call reduction, et cetera. However, we are in the AI era, artificial intelligence, you know. We have moved from mobile firsts to artificial intelligence first. Artificial intelligence is no longer in the labs. It is on the street. Customers are looking for, how do we, you know, use artificial intelligence and mission learning to increase the service levels? So, that is why we call it as, modernizing ideas sim. That's what even ServiceNow says, that one of the customer conversations. In the modernization ideas sim, how do we bring the artificial intelligence and mission learning? Your 30 per cent can go up to 40 to 50 per cent. Right, and in the process, with conversational analytics, it makes, you know, again a superior end-user experience. >> And how does Cognizant differentiate in the marketplace? >> That's a great question. The key thing is the people. I would say, I would start with the people because any new technology, okay, whatever, the robots are there. You need the human intellectual capital to implement that. So that is where we realize this problem earlier and we started investing on the people. So we have something called a ServiceNow Academy where we constantly recruit people and reskill our own people to meet the needs of the ServiceNow. So, the ServiceNow Academy, that is where, constantly produces, you know, people, number one. Number two, we have ServiceNow Labs. This is an investment from Cognizant. We call it a center of excellence, whatever the name you want to call. The ServiceNow Labs is the biggest differentiator for our customers, where we constantly, you know, produce you know, the best practices and we take those best practices, you know, to the customer. The third one is, we constantly innovate. Innovation is very critical. So, we used to do something called Hackathon. For the past three years, we have been doing Hackathon. A team from ServiceNow, they go all the way to our delivery centers, in offshore. 4000 people will be part of the Hackathon, across different locations, while we're video conferencing, webex and things like that. Recently we did, about three months back, For 4000 people participating, 80-plus innovation ideas came out. All these 80-plus innovation ideas, we go back to our customer. "Hey, you're in healthcare. "This is something, you know, to track your ambulance. "You know, for 911, et cetera. "These are the things, ideas, you can do that." So, I would say, constantly reskilling the people via our ServiceNow Academy. The second thing is constantly producing best practices via our ServiceNow Labs. And the third one is, you know, powering the innovation by our Hackathon. These three things really help us to, you know, take the value of ServiceNow to our customers. >> Excellent, all right, we've got to wrap before the music starts. Raja, thanks very much for coming on theCUBE. Really appreciate it. >> And thank you, and it's a pleasure in talking to you, guys, thank you. >> Ah, you're welcome. >> Thanks. >> All right, >> keep right there, everybody. We'll be back to wrap, right after this short break. (upbeat music)

Published Date : May 10 2017

SUMMARY :

Brought to you by ServiceNow. He's the Vice President of Cloud Services and what you're doing to sort of how do I modernize the legacy technologies, you know, At the time, you know, The BMC and the HP, we took some, you know, the BMC and the HP guys, Then, how are you seeing the implementations evolve How do I create, you know, HR module and Finance module how do we, you know, use artificial intelligence And the third one is, you know, before the music starts. and it's a pleasure in talking to you, We'll be back to wrap, right after this short break.

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Rajesh Pohani, Dell Technologies | SuperComputing 22


 

>>Good afternoon friends, and welcome back to Supercomputing. We're live here at the Cube in Dallas. I'm joined by my co-host, David. My name is Savannah Peterson and our a fabulous guest. I feel like this is almost his show to a degree, given his role at Dell. He is the Vice President of HPC over at Dell. Raja Phan, thank you so much for being on the show with us. How you doing? >>Thank you guys. I'm doing okay. Good to be back in person. This is a great show. It's really filled in nicely today and, and you know, a lot of great stuff happening. >>It's great to be around all of our fellow hardware nerds. The Dell portfolio grew by three products. It it did, I believe. Can you give us a bit of an intro on >>That? Sure. Well, yesterday afternoon and yesterday evening, we had a series of events that announced our new AI portfolio, artificial intelligence portfolio, you know, which will really help scale where I think the world is going in the future with, with the creation of, of all this data and what we can do with it. So yeah, it was an exciting day for us. Yesterday we had a, a session over in a ballroom where we did a product announce and then in the evening had an unveil in our booth here at the SUPERCOMPUTE conference, which was pretty eventful cupcakes, you know, champagne drinks and, and most importantly, Yeah, I know. Good time. Did >>You get the invite? >>No, I, most importantly, some really cool new servers for our customers. >>Well, tell us about them. Yeah, so what's, what's new? What's in the news? >>Well, you know, as you think about artificial intelligence and what customers are, are needing to do and the way artificial intelligence is gonna change how, you know, frankly, the world works. We have now developed and designed new purpose-built hardware, new purpose-built servers for a variety of AI and artificial intelligence needs. We launched our first eight way, you know, Invidia H 100 a a 100 s XM product. Yesterday we launched a four u four way H 100 product yesterday and a two u fully liquid cooled intel data center, Max GPU server yesterday as well. So, you know, a full range of portfolio for a variety of customer needs, depending on their use cases, what they're trying to do, their infrastructure, we're able to now provide, you know, servers to and hardware that help, you know, meet those needs in those use cases. >>So I wanna double click, you just said something interesting, water cooled. >>Yeah. So >>Where does, at what point do you need to move in the direction of water cooling and, you know, I know you mentioned, you know, GPU centric, but, but, but talk about that, that balance between, you know, a density and what you can achieve with the power that's going into the system. Well, you system, >>It all depends on what the customers are trying to accommodate, right? I, I think that there's a dichotomy that's existing now between customers who have already or are planning liquid cooled infrastructures and power distribution to the rack. So you take those two together and if you have the power distribution to the rack, you wanna take advantage of the density to take advantage of the density you need to be able to cool the servers and therefore liquid cooling comes into play. Now you have other customers that either don't have the power to the rack or aren't ready for liquid cooling, and at that point, you know, they're not gonna want to take advantage. They can't take advantage of the density. So there's this dichotomy in products, and that's why we've got our XE 96 40, which is in two U dense liquid cooled, but we also have our XE 86 40, which is a four U air cold, right? Or liquid assisted air cold, right? So depending on where you are on your journey, whether it's power infrastructure, liquid cooling, infrastructure, we've got the right solution for you that, you know, meets your needs. You don't have to take advantage of the density, the expense of liquid cooling, unless you're ready to do that. Otherwise we've got this other option for you. And so that's really what dichotomy is beginning to exist in our customers infrastructures today. >>I was curious about that. So do you see, is there a category or a vertical that is more in the liquid cooling zone because that's a priority in terms of the density or >>Yeah, yeah. I mean, you've got your, your large HTC installations, right? Your large clusters that not only have the power have, you know, the liquid cooling density that they've built in, you've got, you know, federal government installations, you've got financial tech installations, you've got colos that are built for sustainability and density and space that, that can also take advantage of it. Then you've got others that are, you know, more enterprises, more in the mainstream of what they do, where, you know, they're not ready for that. So it just, it just depends on the scale of the customer that we're talking about and what they're trying to do and, and where they're, and where they're doing it. >>So we hear, you know, we hear at Supercomputing conference and HPC is sort of the kind of trailing mini version of supercomputing in a way where maybe you have someone who they don't need 2 million CPU cores, but maybe they need a hundred thousand CPU cores. So it's all a matter of scale. What is, can you identify kind of an HPC sweet spot right now as, as Dell customers are adopting the kinds of things that you just just announced? >>You know, I think >>How big are these clusters at this >>Point? Well, let, let me, let me hit something else first. Yeah, I think people talk about HPC as, as something really specific and what we're seeing now with the, you know, vast amount of data creation, the need for computational analytics, the need for artificial intelligence, the HPC is kind of morphing right into, into, you know, more and more general customer use cases. And so where before you used to think about HPC is research and academics and computational dynamics. Now, you know, there's a significant Venn diagram overlap with just regular artificial intelligence, right? And, and so that is beginning to change the nature of how we think about hpc. You think about the vast data that's being created. You've got data driven HPC where you're running computational analytics on this data that's giving you insights or outcomes or information. It's not just, Hey, I'm running, you know, physics calculations or astronomical how, you know, calculations. It is now expanding in a variety of ways where it's democratizing into, you know, customers who wouldn't actually talk about themselves as HVC customers. And when you meet with them, it's like, well, yeah, but your compute needs are actually looking like HPC customers. So let's talk to you about these products. Let's talk to you about these solutions, whether it's software solutions, hardware solutions, or even purpose-built hardware. Like we're, like we talked about that now becomes the new norm. >>Customer feedback and community engagement is big for you. I know this portfolio of products that was developed based on customer feedback, correct? Yep. >>So everything we do at Dell is customer driven, right? We want to be, we want to drive, you know, customer driven innovation, customer driven value to meet our customer's needs. So yeah, we spent a while, right, researching these products, researching these needs, understanding is this one product? Is it two products? Is it three products? Talking to our partners, right? Driving our own innovation in IP and then where they're going with their roadmaps to be able to deliver kind of a harmonized solution to customers. So yeah, it was a good amount of customer engagement. I know I was on the road quite a bit talking to customers, you know, one of our products was, you know, we almost named after one of our customers, right? I'm like, Hey, this, we've talked about this. This is what you said you wanted. Now he, he was representative of a group of customers and we validated that with other customers and it's also a way of me making sure he buys it. But great, great. Yeah, >>Sharing sales there, >>That was good. But you know, it's heavily customer driven and that's where understanding those use cases and where they fit drove the various products. And, you know, in terms of, in terms of capability, in terms of size, in terms of liquid versus air cooling, in terms of things like number of P C I E lanes, right? What the networking infrastructure was gonna look like. All customer driven, all designed to meet where customers are going in their artificial intelligence journey, in their AI journey. >>It feels really collaborative. I mean, you've got both the intel and the Nvidia GPU on your new product. There's a lot of CoLab between academics and the private sector. What has you most excited today about supercomputing? >>What it's going to enable? If you think about what artificial intelligence is gonna enable, it's gonna enable faster medical research, right? Genomics the next pandemic. Hopefully not anytime soon. We'll be able to diagnose, we'll be able to track it so much faster through artificial intelligence, right? That the data that was created in this last one is gonna be an amazing source of research to, to go address stuff like that in the future and get to the heart of the problem faster. If you think about a manufacturing and, and process improvement, you can now simulate your entire manufacturing process. You don't have to run physical pilots, right? You can simulate it all, get 90% of the way there, which means your, your either factory process will get reinvented factor faster, or a new factory can get up and running faster. Think about retail, how retail products are laid out. >>You can use media analytics to track how customers go through the store, what they're buying. You can lay things out differently. You're not gonna have in the future people going, you know, to test cell phone reception. Can you hear me now? Can you hear me? Now you can simulate where customers are patterns to ensure that the 5G infrastructure is set up, you know, to the maximum advantage. All of that through digital simulation, through digital twins, through media analytics, through natural language processing. Customer experience is gonna be better, communication's gonna be better. All of this stuff with, you know, using this data, training it, and then applying it is probably what excites me the most about super computing and, and really compute in the future. >>So on the hardware front, kind of digging down below the, the covers, you know, the surface a little more, Dell has been well known for democratizing things in it, making them available to, at a variety of levels. Never a one size fits all right? Company, these latest announcements would be fair to say. They represent sort of the tip of the spear in terms of high performance. What about, what about rpc regular performance computing? Where's, where's the overlap? Cause you know, we're in this season where we've got AMD and Intel leapfrogging one another, new bus architectures. The, the, you know, the, the connectivity that's plugged into these things are getting faster and faster and faster. So from a Dell perspective, where does my term rpc regular performance computing and, and HPC begin? Are you seeing people build stuff on kind of general purpose clusters also? >>Well, sure, I mean, you can run a, a good amount of artificial acceleration on, you know, high core count CPUs without acceleration, and you can do it with P C I E accelerators and then, then you can do it with some of the, the, the very specific high performance accelerators like that, the intel, you know, data center, Max GPUs or NVIDIAs a 100 or H 100. So there are these scale up opportunities. I mean, if you think about, >>You know, >>Our mission to democratize compute, not just hpc, but general compute is about making it easier for customers to implement, to get the value out of what they're trying to do. So we focus on that with, you know, reference designs or validated designs that take out a good amount of time that customers would have to do it on their own, right? We can cut by six to 12 months the ability for customers in, in, I'm gonna use an HPC example and then I'll come back to your, your regular performance compute by us doing the work us, you know, setting, you know, determining the configuration, determining the software packages, testing it, tuning it so that by the time it gets to the customer, they get to take advantage of the expertise of Dell Engineers Dell Scale and they are ready to go in a much faster point of view. >>The challenge with AI is, and you talk to customers, is they all know what it can lead to and the benefits of it. Sometimes they just dunno how to start. We are trying to make it easier for customers to start, whether it is using regular RPC or you know, non optimized, non specialized compute, or as you move up the value stack into compute capability, our goal is to make it easier for customers to start to get on their journey and to get to what they're trying to do faster. So where do I see, you know, regular performance compute, you know, it's, it's, you know, they go hand in hand, right? As you think about what customers are trying to do. And I think a lot of customers, like we talked about, don't actually think about what they're trying to do as high performance computing. They don't think of themselves as one of those specialized institutions as their hpc, but they're on this glide path to greater and greater compute needs and greater and greater compute attributes that that merge kind of regular performance computing and high performance computing to where it's hard to really draw the line, especially when you get to data driven HPC data's everywhere >>And so much data. And it sounds like a lot people are very early in this journey. From our conversation with Travis, I mean five AI programs per very large company or less at this point for 75% of customers, that's pretty wild. I mean you're, you're an educational coach, you're teachers, you're innovating on the hardware front, you're doing everything at Dell. Last question for you. You've been at 24 years, >>25 in this coming march. >>What has a company like that done to retain talent like you for more than two and a half decades? >>You know, for me and I, I, and I'd like to say I had an atypical journey, but I don't think I have right there, there has always been opportunity for me, right? You know, I started off as a quality engineer. A couple years later I'm living in Singapore running or you know, running services for Enterprise and apj. I come back couple years in Austin, then I'm in our Bangalore development center helping set that up. Then I come back, then I'm in our Taiwan development center helping with some of the work out there. And then I come back. There has always been the next opportunity before I could even think about am I ready for the next opportunity? Oh. And so for me, why would I leave? Right? Why would I do anything different given that there's always been the next opportunity? The other thing is jobs are what you make of it and Dell embraces that. So if there's something that needs to be done or there was an opportunity, or even in the case of our AI ML portfolio, we saw an opportunity, we reviewed it, we talked about it, and then we went all in. So that innovation, that opportunity, and then most of all the people at Dell, right? I can't ask to work with a better set of set of folks from from the top on down. >>That's fantastic. Yeah. So it's culture. >>It is culture B really, at the end of the day, it is culture. >>That's fantastic. Raja, thank you so much for being here with us. >>Thank you guys, the >>Show. >>Really appreciate it. >>Questions? Yeah, this was such a pleasure. And thank you for tuning into the Cube Live from Dallas here at Supercomputing. My name is Savannah Peterson, and we'll see y'all in just a little bit.

Published Date : Nov 16 2022

SUMMARY :

Raja Phan, thank you so much for being on the show with us. nicely today and, and you know, a lot of great stuff happening. Can you give us a bit of an intro on which was pretty eventful cupcakes, you know, What's in the news? the way artificial intelligence is gonna change how, you know, frankly, the world works. cooling and, you know, I know you mentioned, you know, either don't have the power to the rack or aren't ready for liquid cooling, and at that point, you know, So do you see, is there a category or a vertical that is more in the more in the mainstream of what they do, where, you know, they're not ready for that. So we hear, you know, we hear at Supercomputing conference and HPC is sort of ways where it's democratizing into, you know, customers who wouldn't actually I know this portfolio of products that was developed customers, you know, one of our products was, you know, we almost named after one of our But you know, it's heavily customer driven and that's where understanding those use cases has you most excited today about supercomputing? you can now simulate your entire manufacturing process. you know, to the maximum advantage. So on the hardware front, kind of digging down below the, the covers, you know, the surface a little more, that, the intel, you know, data center, Max GPUs or NVIDIAs a 100 or H 100. you know, setting, you know, determining the configuration, determining the software packages, testing it, see, you know, regular performance compute, you know, it's, And it sounds like a lot people are very early in this journey. you know, running services for Enterprise and apj. That's fantastic. Raja, thank you so much for being here with us. And thank you for tuning into the Cube Live from Dallas here at

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Heidi Banks, Jabil | Coupa Insp!re 2022


 

(upbeat music) >> Welcome back to theCUBE everyone Lisa Martin here. On the ground in Las Vegas at COUPA INSPIRE 2022. This is our second day of coverage here. There's been about 2,400 to 2,500 folks at the event. This year people are ready to come back. I've been happy to talk with lots Coupa folks, their partners, their customers and I've got both a customer and a partner here with me. Heidi Banks joins us, the Senior director of Global Procurement at Jabil. Heidi it's great to have you on the program. >> Thank you for having me give. >> Give the audience an overview of Jabil and what you guys do. >> So Jabil is a $30 billion manufacturing solutions partner that provides contract manufacturing services for 450 of the world's largest and most premier brands around the globe. Most people don't know our name but we're the wonderful face behind the name. >> Well you guys had, I was looking at some stats, over 260,000 employees across 100 locations. Very customer centric you guys are, as is Coupa, this good obviously synergy there but you had some objectives from a global procurement perspective. What were those? What were some of the challenges that you wanted to solve? >> So about seven years ago, Jabil went on a journey to identify what challenges we had out in the indirect procurement space. Being such a large global company, we had no idea what we were spending on indirect at the of time. After a little bit of digging, we found out that we had over 2 billion in spend that was untapped from a category management perspective. And so we knew that we needed to grow as a company and PaaS technology as a foundation, as our goal and our mission in the company is to be the most technologically advanced manufacturer solutions partner for our customers. >> Was there any sort of one thing or a compelling event seven years ago that caused you guys to go, "We need to be really getting our hands around this indirect spend?" >> So we started off by bringing in category managers and they were doing amazing job delivering savings in our contracts, but we had no way to deliver that out to the company. And the company being so big in so many different jurisdictions in countries around the world, you could negotiate the best contract in the world, but if you couldn't communicate it out to your users then it was a challenge to really capture that savings and make sure we were delivering bottom line savings to the company. >> And you guys are, we're talking about three different SAP ERP systems so a lot of technology in the environment. What were some of the core technology requirements that Jabil had when it came looking for a business plan management solution? >> Yeah, so we were looking for something that was very user friendly. Of course, Coupa takes that box very well. Also something that could drive governance and policy controls again challenging being such a global organization and making sure that things were going according to our policy into our global category managers to be sourced and negotiated for the company. We looked for one that was end to end from a business spend management platform perspective. We wanted something that was integrated and could cover three ERP systems from one pane of glass across the company. So we could get great analytics without having to search in so many different places. >> That is so key. I was talking with Rob, I was talking with Raja and they were all talking about how those silos still exist and how they're helping organizations like Jabil break those down and give them that single pane of glass, as you mentioned, to be able to see, to get that visibility into indirect spend, for example. Talk to me about the solutions that you implemented from Coupa. >> So we started off with Coupa's procure to pay system. Really our focus was to get off of our old system as quickly as we could and get everyone managing on the same policy controls approval flows. We then also had analytics, so we had Coupa AIC and brought in analytics and in the last year and a half I've also deployed strategic and tactical sourcing through Coupa as well, and spend guard from a audit control and compliance perspective. >> So then that the phrase "sweet synergy" that actually probably means a lot to you Coupa was talking about that during the keynote this morning. Your Jabil is living that sweet synergy kind of experience through Coupa >> That's right. As we source in Coupa and we can see, are there different behaviors that we need to look into maybe suppliers that are bidding at the last minute and winning or less than that desirable number of suppliers coming in or duplicate invoices and being able to really look through that and see spend patterns that we would never otherwise uncover is highly important to us from a compliance standpoint, we've gotten a great value out of that solution. >> And in terms of value, one of the things I know that was important to you when you were looking for the right technology partner, was you wanted to involve other folks within the organization across IT, other lines of business. Talk to me about how important that was to bring in that cross-functional team to help make the right decision. >> Yeah, that was one of the most critical things that we did. We needed to make sure, especially being an SAP shop right, we needed to make sure that we were standing back and really being impartial in our decision and driving a non-biased decision in that RFP process. And so we got our executives together, talked to them about the value drivers and the ROI that we could do if we had all of the right support from the right departments, so that we could avoid resistance as we tried to deploy in such a rapid way. So we brought IT, legal, users together, procurement and in advance did a balanced scorecard approach to say these were the important factors that we had whether it was IT infrastructure, whether it was capabilities to make sure that when we came out of that decision and we picked a solution, we could all look at each other and have a handshake and say it was the right decision for us as a company, and so no departments had push back at that point because of that approach that we took. >> An objective approach that you took. >> That's right. >> Let's talk about some of the outcomes look at, actually let's not, let's talk about your deployment first, 'cause you guys started with probably your most challenging sites whereas other folks might go. Let's start with the low hanging fruit and kind of work our way up. Jabil said, "Nope, we're going to flip the script on that." >> That's right. So we, we went with what we call an east to west strategy. We are heavily concentrated in our Asia markets and so we were also wanted to deliver our ROI as quickly as possible and get our spend into the system as quickly as possible. So we we went live with 12 sites, 11 mega sites in China and our corporate headquarters in St. Petersburg in order to get that spend in as quickly as possible and get our ROI delivered. So we started in China and the US then in our second phase deployed the rest of Asia and then the US and North America and then over to Europe. So we went regional from a time zone perspective but also just I say, go bold. I hear a lot of people that start small and then grow but if you want to deliver that ROI and get your money out of that system as soon as possible go big or go home. >> I like that go big, go home. It's like Mick Ebeling was talking about this morning from not impossible labs commit and then figure it out. >> That's right. >> That's right. >> You know what? That's actually brilliant advice because it's probably the opposite that a lot of us want to be we want to be able to figure this out and then go, okay we can do that. And he said no >> Yeah >> To the opposite. >> To the opposite >> Did you have to get buy-in from those cross-functional folks to say we want to start with our most challenging sites first, was that a team decision? >> That was a decision that we did just basically to get that ROI delivered. And we also had a really strong team that still partners with our Coupa admins today that were really invested in getting onto a solution where they can automate and drive control and compliance. And so not only do we involve the team in the solution selection, but also in the global design. So we brought different cross-functional departments together into one location together, we made all of our decisions on how we were going to configure Coupa So that way again all of our divisions and departments had buy-in to how we were going to move forward and then we went from there. >> Well then, and in that case everybody feels like they have a stake >> That's right >> In the issue they have a vested interest >> That's right. >> Which is critical for these types of large projects to be successful. >> That's right. So they were involved in the RFP process so they knew why we were doing it and they were then involved and the design and how we were going to set it up so that they knew that they had a vested interest in how it was going to perform in the end. And then of course there were things that we had to tweak. So we needed to have a design committee that we could come back to and make changes as we needed to, make changes throughout the projects. You don't always get every single decision right. The first time, but you need to be nimble and make changes first and get consensus across the company. >> Right. Talk to me about some of the outcomes I know I've seen a lot of stats in your case study and I always love those numbers always jump out at me. Talk to me about some of those metrics based business outcomes that Jabil is achieving so far. >> Yeah. So in the last four years we've had a heavy focus on catalog. So actually in the last few months, we've gone from 20 to 30% by using Coupa analytics and drilling really into the details and putting really great category strategies in order to drive more catalog penetration. We've got great stats around electronic invoicing especially in certain countries where people think it's not possible. >> Right. >> There's a great change management story we have for what we've achieved in our Asian markets around electronic invoicing and from an ROI perspective, we were able to deliver 3X our ROI by the end of year two which we projected would take three years to do and 7X by year four. So we had a very conservative and achievable ROI that got the buy-in and then we were able to accelerate it by being aggressive, but also with a great solution it was easy to then get that done. >> Can you talk a little bit about the change management that you were able to achieve in the Asian market change management is the difficult thing to do. People are resistant to change, one of the things we've learned in the last two years is sometimes the change comes in there's nothing you can do about it but how did you affect that change management within that culture in the Asian market? >> Yeah. So with the executive buy-in that we had because they knew that there was high potential for us to deliver an ROI. We had executive sponsorship that helped us get through some of those barriers. So if we decided not to bring certain users into the system, for example and there was pushback that they needed to have access we had executive messaging as to why from a policy governance and control standpoint we couldn't break that. So we used our executives' voice and their support to do that. But also we brought in a great system that was user are friendly and so we didn't get a lot of resistance in, in that sense. So they actually embraced the change compared to the solution we had in place before. So by making the right selection from a user centric company we also didn't get as much resistance there as well. >> That's nice the path of least resistance is good especially if you're not exactly sure if you're going to find it, but verifying that and getting that ROI is is probably a big, a big win. Talk to me a little bit about you guys liked Coupa so much you had such, you mentioned 3X ROI within, you said the first year? >> With after year two >> After year two >> Yeah. >> 3X ROI, you liked it so much you decided to become a Coupa partner. Talk to me about that. What does that mean? What are you guys doing as partner? >> Yeah, so this is a super exiting thing for us to adventure into. So we pride ourselves on our theme as built for practitioners by practitioners. We've run the system every single day. We've been running it for years. So my team members are deep in the knowledge and capabilities of Coupa it's functionality, how to manage it every day, how to get the most you out of it and we want to share that knowledge with other Coupa customers to get the most value out of their system as well. So whether that's optimization and helping them get more out of their system or whether it's roadmap or assessments in our perspective, or even doing net new implementations we're excited to venture into that area of services with Coupa as a partner. >> Or have you guys started doing that yet? >> Today is our first Coupa inspire as a partner, which is exciting. And we literally just got started in the last few months. So we are working on getting our first customer here hopefully very shortly and have had a lot of of really great conversations with customers at the show so far. >> That's one of the great things that Coupa took the risk to bring us all together because there's they have a phenomenal community of which you guys have been a part now you said I believe about seven years, but there's nothing that replaces the connections that you make in the community that is grown from doing events like this. I imagine that you've gotten to talk with a lot of prospect >> Yes. >> Prospective customers who, what, how did you do this? This seems like an impossible feat that you've gotten to share with them. This is doable, here's how we did it. >> That's right. So fortunately I've been at previous inspires as well. So I've gotten to talk to people that I haven't seen in a couple of years, which is always exciting. I've been able to talk to customers that I've done, referrals for with Coupa before that are now Coupa customers and we get to talk about that and also those perspective customers and helping them know that it is doable, it is achievable you can get consensus in a decentralized company where all the sites if you have lots, lots of sites and countries have their own autonomy, you can do it. You can do it fast. You can do it effective if you take the right approach. And so it's exciting to get here and share that opportunity and our adventure and our journey with Coupa and the journey is only just beginning. >> Right, what are some of the things that you are excited about in terms of the innovations that they've announced at the event? I know Coupa is very much symbiotic with its customers that the community very much generates a lot of the direction in which the technology goes. But what are some of the things that you've heard announced that you thought, yes, they're going they continue to go in the right direction. >> Yeah. So there's some actual foundational capabilities around things like payment agreements and group carts and things that actually we've contributed through either customer cabs or VP sessions with design, just doing collaboration together but I'm also excited to see some of their price benchmarking that they're doing so that we can know how well are we doing and from our pricing standpoint and also where they're going supply chain I'm excited to see where they're going with that. Being a big supply chain company ourselves, we're hoping that all turns out to be something that we can innovate with Coupa on and hopefully have in the future as well. >> Well, as they said, Rob said it to me just an hour ago, they're tip of the iceberg but what its seems that you've become Heidi yourself and Jabil is really kind of an influencer within the Coupa community. We appreciate you coming by theCUBE, sharing with us what you've accomplished and how you're expanding your Coupa partnership into helping other companies. >> Great. Thank you again for having me today. >> My pleasure. >> All right. >> For Heidi Banks, I'm Lisa Martin and you're watching theCUBE's coverage of COUPA INSPIRE 2022 from Las Vegas. Stick around my next guest joins me momentarily. (upbeat music)

Published Date : Apr 7 2022

SUMMARY :

and a partner here with me. and what you guys do. and most premier brands around the globe. that you wanted to solve? And so we knew that we and make sure we were so a lot of technology in the environment. and making sure that solutions that you implemented and in the last year and a half probably means a lot to you and see spend patterns that we that was important to you and the ROI that we could do and kind of work our way up. and so we were also wanted to deliver I like that go big, go home. and then go, okay we can do that. to how we were going to move forward Which is critical for these and how we were going to set it up and I always love those and drilling really into the details that got the buy-in and then that you were able to and so we didn't get a lot of That's nice the path of Talk to me about that. and we want to share that knowledge So we are working on getting that you make in the community that is gotten to share with them. and we get to talk about that that the community very and hopefully have in the future as well. and Jabil is really kind of an influencer Thank you again and you're watching theCUBE's

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Jaime Robles, Casey's General Stores | Coupa Insp!re 2022


 

(upbeat music) >> Good afternoon from Las Vegas. Lisa Martin, at The Cosmopolitan, here on day two of theCUBE's coverage of Coupa Inspire 2022. I'm excited to be joined by one of Coupa's many successful customers, Jaime Robles joins me, the chief procurement officer at Casey's General Stores. You're going to be talking about building a technology hub with source-to-pay and interconnecting ecosystem platforms. Welcome, Jaime. >> Thank you, Lisa. It's a pleasure to be here today in this week, hearing about Coupa and all the fabulous things that we can do around technology. >> Coupa is amazing, and in terms of their innovation, I don't know if you had a chance to see the Keynote this morning, but the slides that Raja showed with just the arrow going up and to the right. Talk to us a little bit about Casey's General Stores. This is the U.S's fourth largest convenience store retailer. But just for the audience who may not know, give us a background. >> So, just a little bit about Casey's. So, Casey's is, as you said, one of the largest convenience store chains out there. We got more than 2,500 locations in 16 states in the Midwest in the U.S. And just out of curiosity, we are the fifth largest pizza company as well. >> Lisa: Is that right? >> We make a great pizza and our guests love it. So, we are in three businesses. We are in convenience store, we are in fuel, and also we are in the food business, because we got a kitchen inside every single store that we got out there. So, for us it's been a fabulous journey with procurement, because we came to the company, joined the company two years ago in the middle of pandemic, and the whole idea was to build the procurement function from the ground up. Casey's didn't have a formal procurement function. So, pretty much, all the spend was done by the functions, by themselves, but no formal process, no technology, no platforms, nothing; very old school. And we came here to build a foundation and build, as I call it, a procurement tech house. >> A procurement tech house. So, talk to me, so I know that Casey's dates back to 1959, and what you described sounds like a lot of paper-based, manual processes; technology really wasn't in the mix. Is that what attracted you to take the role going, "I want to bring technology and build this powerhouse"? >> Yes, that was amazing. So, over my career, I've been doing this for several companies, such as in the past, in Phillips, G, and recently, with Walmart. And then, what attracted me for this opportunity was, well, everything is paper. Everything is manual. There's nothing digital in this company. There's no team, there's no sourcing, no process, no policies. It's like building everything from the ground up. So, it was very attractive. It's huge opportunities for the company, and we were going through this massive transformation to digitize the company all across the operations. So, procurement wasn't the core of those strategies for the CEO of the company, and that's what the opportunity lies. He was like, "How do we move from manual transactions to all this digital world?" and where, now everything is frictionless, that we move from 80%, 85%, that it was all manual. Now we are plus 65%, everything is digital now in the company, and just within one year of moving all over. So, the savings, the cost, the, the leakage, all the waste on the processes that we have, is just amazing, after one year. >> Sounds like the company had a cloud, a digitization strategy, brought you on board to help make that a reality for procurement. So, the appetite was there at Casey's from a cultural perspective, it wasn't battling uphill to get folks to go, "Let go of the paper. Let's go to Coupa." >> Yeah, that's the truth. So, it was the whole digital transformation for the company, not only on the procurement, spend side, but all the process in the company. So, as COVID hit our stores and the whole world, right? So, we had to move into more digital ordering, into more digital transaction, into more how my guests can interact with my stores without going to the stores, how they can order from the app, how they can get their food directly to their house, and all this stuff. And procurement was right there, hand to hand, as part of those strategies from the very beginning. And we were, I will say, very lucky to be on time to make all those digital transformations for the company, so when the COVID really hit, we were ready and prepared to take over. >> That's good, being ready and prepared. Oh my gosh. But some of the few people I've talked to. Talk to me about the core technology requirements that you had for the right BSM solution, and why Coupa ticked all those boxes. >> Yeah. So for us, it was one of the most important ones is as I said, bring the digital across the whole source to pay. Another big element for us, it was, how do we bring transparency into the process? How do we bring transparency on how much we pay, how do we spend our money, Which areas, which categories? We built a model in cases that are called, it's a self-service model. And this self service model is, I put the technology in its core, which is Coupa, and I give my users and my internal stakeholders all the power to take those decisions. So, now they can see how much they spend in different categories, with different suppliers, for the preferred vendors, what type of contracts do we have? And how do we manage that spend, versus the budget, as well? They have all that ability to take those decisions, and they don't need a procurement team. As I like to call, in my couple of speaker notes during this week, we like to make procurement invisible. We are in the back, they don't see us. And they got all the power to use the technology out there to do the job for us. >> Transparent, but empowered at the same time. >> Exactly, exactly. That's what we want, moving forward for this company. And I believe that is the vision that we got in the procurement 2.0. >> Procurement 2.0. Talk to me about some of the solutions that you implemented. You talked about source-to-pay, but give us kind of an idea if you double click on that, and then we'll kind of unpack ` what you talked about on your sessions. >> Yeah, pretty much, for Coupa, we implemented the whole source to pay. So, from sourcing, procurement, invoicing and payment. So, we implement all that at the core of the Coupa. I believe in an ecosystem of procurement technologies that are interconnected with Coupa, to interact for other needs, like contract lifecycle management, tail spend management, TNE, and some others that we're going after. Like, now for us, is going after supplier data hub, which for us is very important also to get it right. And that procurement ecosystem of different technologies connected is going to give us the ability to move faster, to be more lean and to have better data and technology accessible for the team that is in charge of procurement, to operate under that environment. >> You mentioned a few minutes ago that, when the pandemic hit, Casey's was ready, from a digital perspective. I imagine that was a huge advantage, going into such unknown times that we're still kind of in. >> Well, when I say ready, it's like, we were ready to go, and we were on the fly, implementing everything, and what the pandemic did is to accelerate all this. So, as many companies did, we were already in the process of going this direction, and when the pandemic start hitting, we accelerate everything, and we made it happen. So, we went live in three, four months, and a year later, we were completely live since we joined the company, and we were start seeing all this paying coming to ours. So, 18 months later, we are pretty much hitting best in class levels in terms of transactional, operational, tactical, savings, visibility, spend, transparency, risk management. Now we're going to take it to the next level of the maturity. It's like, how do we go for ESG? How do we go for supplier diversity? How do we manage risk management? Right? And all those things. >> You had a couple of presentations here at Inspire, talk to me about those, and some of the top takeaways that the audience gleaned from you. >> Yeah, one of the most important ones yesterday was about how to build a procurement organization from the ground up, or how to go through a digital transformation in procurement. That is something that has been on the topic on the procurement community for years now. Everybody talks about procurement transformation, et cetera. And I just showed to them, my journey in the companies that I've been doing this for the last two decades, across the world, in many different countries, and the things that work and the and the things that doesn't work, really. And how they need to build, for the future of procurement, a technology procurement house on the core. And that's how you operate day to day. And for us, organization was Coupa. And then on top of that, you need to build a procurement ops model, right? How you want to operate your procurement operating model. So, it's centralized, decentralized, a hybrid model. And it all depends about the type of company, the type of industry you are, how material is your organization, et cetera. And another big, big element in all your strategy is, how you're going to serve your customers, right? What type of service model do you have in place? If you're going to be like a full service mode, or you going to be in a strategic direction, or you going to be a self-service mode. And pretty much, what we have chosen as the best way to move forward in the future is, let's put the technology in the middle. Let's give the support our users need, but let them be self-service, and let's make our job invisible in the back, where we have all these sourcing events, all these beautiful negotiations, all these great deals, contracts, et cetera. So, by the time they use the technology, they know where to buy, how to buy, what's the right level, how to make it happen, and they don't need us. They can do it by their own. >> And they've got that visibility, that before, it sounds like they didn't have it at all. >> Exactly, so now we know how much we spend, where do we spend, and where are the opportunities? Where are some gaps that we can go after, as well? And I think one of the most important aspects in these transformations that many of my colleagues are going through is, then you have a model that you can repeat year over year and evolve with the company, so it's agile and it's flexible. Because companies keep evolving. You buy business, you sell business, you acquire, you expand, you grow, and how that model is going to shape around. So, by the time you're done, it's not obsolete again. So, technology is going to keep evolving with your model, and that for me, is the key part in all this. >> Do you feel like, this is a marketing term; future-proof, and it always is one of those things that, well what does that actually really mean? Do you feel though that, what you've put in place is future-proof? That it's going to be able to grow and scale as the company changes? >> Jaime: Totally, totally. Because as I said before, we put the technology on the core. And for us, having that technology on the core, and plugging different technologies around that and sourcing around that with our amazing sourcing team, is going to evolve whatever the company needs. If we expand into different regions, we're ready. If we expand into different business types, we're ready. I believe what we need to keep evolving, as well, is, there will be new emerging technologies. There's going to be way more AI. There's going to be way more machine learning. There's going to be more predictive analytic sourcing stuff. How do we keep pulling those technologies into our platforms to keep giving us that advantage and that edge to the market? I think we have the model, and I think it's one of the most advanced procurement functions that I've seen in the industries around. >> And it sounds like you designed and deployed it really quickly, >> We did. >> especially during a global crisis. >> Yeah, we are disruptors by nature. We love change. We love speed. And that is, I will say my procurement brand. We make it happen and we make it fast. That's how we do it. We keep momentum. >> That's incredibly important. I mean, one of the things that we've learned, many things the last two years, a couple things. Access to realtime data is no longer a "nice to have." It's absolutely business critical. The patience of many people, including myself, was quite thin, the last two years. But also, every company has to be a data company. Casey's has to be a data company. If I have the ability to order from my app, or order things, I want them to know when I'm here for, what I ordered before; make my visit personalized, efficient, easy. So, that data strategy, having that data at the core, is nowadays, you have to have it. >> It is essential. We're building a data hub for the company, completely showing us all that information. As you can imagine, being in those three business, on the food industry, on the retail convenience store, and in the fuel, so data for us is our living breath every single day. And not only having the data now, it's like, what type of decisions we're taking with all this data? And how fast we are adapting to all that, in pricing, in cost, in margin and availability and inventory and logistics and transportation, and in your whole supply chain. So, that is extremely important for us. Not only having the data, but what kind of decisions we're taking with the data, and everything starts with the transparency right? Whenever you see it, you act. >> You should be able to act, but to your point, you have to have that visibility. You have to be able to see it and act on it. Talk to me about what it's like being a Coupa customer. I know how I've been to many Inspires, and I always love seeing all the customer success stories everywhere across industries. What's it like being a Coupa customer, in terms of having the ability to influence, say, the roadmap? Is that something that you're able to work on in partnership with Raj's team? >> Yeah, that's great. So, Coupa has been a great company to work with, and I know them for some years now, and not only they been able to support our vision of what we're trying to build, but at the same time they're taking many of our feedback to make Coupa better, in many of the different models. Listen, Coupa's not perfect, right? And I don't think any tool out there is going to be perfect. But being in so many different industries and with so many opportunities in different areas, they've been able to take our feedback and make those improvements for ourselves. We have so many conversations with the Coupa product development team when we were going through a transformation, asking them for things that we thought it was very valuable to have on the tool, that was in our, in our eyes, no brainer, and they were very, very fast to react and make the change. And we are, I think, one of the most lousy customers, guilty as charged about that, but we just wanted to make it better because it's a benefit of the whole community. Everything that we've been talking this week about community AI, it's amazing. All the things that we're sharing during this week, all the ideas that we are getting about things that we can do. That's amazing. That's the value. >> It's huge value. And that's that sort of flywheel of the community and the power and the insights. Last question for you. If you talk to peers, or when you talk to peers who are maybe starting their procurement digitization journey, what advice do you give them? >> Don't take a no as an answer. Make it happen. Own it. Own it. I think you need to have a vision. You need to put in strategy in place. You need to build a business case. You need to earn your seat at the table at the C-suite. But you need to own it. You cannot let the IT, function, finance community too long, and decide how you want to operate and how you want to move your function as procurement, or build how you operate. You need to own it, and you need to build a business case and you need to make it happen. You need to, yeah. To struggle with that. But if you are a hustler, as we are in cases, we are disruptors. And if you don't disrupt, it's not going to happen. >> I completely agree. Own it, make it happen. Jaime, great to have you on the program. >> Jaime: Thanks so much. >> Thanks for hearing what Casey's is doing, how you're really leading the charge, and how you owned it and made it happen. That's awesome. >> Thank you, Lisa. Thank you for being here. >> Thanks. For Jaime Robles, I'm Lisa Martin, you're watching theCUBE's coverage day two, Coupa Inspire 22, from Las Vegas. Join me with my next guest, coming up shortly. (lighthearted upbeat music)

Published Date : Apr 6 2022

SUMMARY :

Jaime Robles joins me, the all the fabulous things This is the U.S's fourth largest in the Midwest in the U.S. and the whole idea was to build and what you described sounds So, the savings, the So, the appetite was there at Casey's and the whole world, right? But some of the We are in the back, they don't see us. empowered at the same time. the vision that we got Talk to me about some of the the ability to move faster, I imagine that was a huge advantage, and we were on the fly, that the audience gleaned from you. and the and the things And they've got that and that for me, is the and that edge to the market? That's how we do it. having that data at the core, and in the fuel, so data in terms of having the ability all the ideas that we are getting and the power and the insights. You need to own it, and you Jaime, great to have you on the program. and how you owned it and made it happen. Thank you for being here. Join me with my next

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Kyle Rogers, Clearsulting | Coupa Insp!re 2022


 

(bright music) >> Hey everyone. Welcome back to the cubes coverage of Coupa Inspire 2022. This is day two. We've been on the ground in Las Vegas at the cosmopolitan, Lisa Martin here with Kyle Rogers. Great to be talking with Coupa customers, partners all the good stuff. Kyle, you are the partner finance effectiveness at Clearsulting. - Yes. >> Welcome to the program. >> Thank you. Thank you. I'm super happy to be here. And we're really excited to be a partner with Coupa. >> Talk to me a little bit about Clearsulting, so the audience gets an understanding of what you guys are doing. >> Perfect. So I'll introduce myself first. I'm Kyle Rogers, as you mentioned, I'm a partner at the firm. A leader finds affecting this practice and we focus on a few things. So first is like general finds and accounting operating model work. The second is a lot of global based services, shared services work. So helping clients think about where their talent should sit and how those global workflows should work. And then what's really important to this week is, we've got a deep capability and procure to pay. And at a Clearsulting, we work with our clients to drive thoughtful and complex solutions for procurement and finance executives using digital as a key enabler in that. And we've got a number of practices. So we focus on finds effectiveness, which I lead. We've got enterprise performance management, risk advisory record report, and treasury. >> One of the things that is the spirit of Coupa is collaboration, the community. How does clear salty, how do you collaborate with your clients? >> Yeah, it's a great question because we think collaboration is so core to being successful in driving good outcomes. So the ways we collaborate with our clients are first, we bring deep expertise around, procure to pay functional subject matter of experts. And we compliment that with our innovation center which is a team that's focused on really staying on the forefront of digital and technical solutions and making sure we bring them together to give robust and powerful outcomes for our clients. And then lastly, and really importantly, we meet our clients where they are. They're all at different stages in their I maturity. They've got different goals and objectives. Some might be trying to have a focused really niche outcome whereas others might be transformational in nature. So we make sure that we right size our solutions to really get them where they're trying to go. >> When you're talking with customers that are maybe in the infancy of digitizing procure to pay for example, what are some of the concerns that they have? I mean, I guess these days if you're not digital, you're not very competitive. >> Right. Digital is so important to what they do. Not only to reduce costs and take in efficiencies out of the business but also when you think about, the importance of decision support, right? So tightening the cycle time between business activity and making sense of it using technology as core and fundamental to being successful. >> What are some of the trends that you're seeing in procurement especially anything top of mind the last two years? >> Yeah, so what we love about Clearsulting is we've got a broad base of clients. And when we meet and work with each of them they all have their different needs and goals. And we've been able to see some through lines across each that have started to emerge. And we've really seen three trends emerge. So the first is, there's a a big focus on operational efficiency. So moving towards a touchless world, taking cost out of the business and really moving towards exception based, system driven processes and more towards insight generation decisions important alike. And then the second is there's a real increased focus on getting total visibility into your spend management, right? So understanding who your suppliers are, what you're buying from them, how much you're spending and really understanding are they giving you the value that you thought you were going to get when you onboarded them. And that's really come to the floor through a lot of the supply chain volatility, a lot of the volatility around pricing, especially when you think look at things like commodities and just getting real your arms around what, what you're spending on. And then lastly, there's a new and diverse set of talent in the workforce today, right? And the last 10 to 20 years we've seen digitally native talent graduate into the workforce. And what their hopes and desires and needs are in the workplace are very different than the generation before them. So just giving them tools and digital technologies that will attract them but also retain them when they're here. - Right. - Yeah. And then also when you think about some of the shifts towards a more remote, remote, or hybrid model, having tools and capabilities that allow you to do that and Coupa is a great example. >> Right. Well, you talked about, different generations and the younger generations. I think there's four or five generations that are in the workforce today. >> Wow. - And so when you think of, you talked about the remoteness hybrid environment that we're still living in how everything has changed so dramatically in the last couple of years. - Yeah. >> That being touchless, contactless, paperless really became essential for so many businesses. How do you guys, what do you define as touchless? How is it different than say paperless? Is it just another the way of saying or does it actually mean something different? >> It's a little, it's different and it's not truly touchless because you still need to have, the human as part of the process, right? But when we say touchless, it's identifying those points of where is it rules based? Where can we use business logic to drive some system based decision and taking the robot out of the human as some say, and really having the humans spend their time on how can I use this information to support the business, get insights out of it and focus my time on work that's meaningful and powerful. >> Well work that's meaningful and powerful to them that will make them want to stay at their jobs but also work that allows them to be able to focus on more strategic projects for the business let the other stuff be touchless and automated where it can be. >> Right. - So that their focus is on more business critical activities or initiatives. >> Absolutely. Absolutely. So when you think about things like supporting sourcing on making sure that they've got their strategic suppliers set up and their spending with the right suppliers. That is so much more valuable obvious to your time than reconciling invoice to goods receipt, right? >> You mentioned insights and visibility and visibility. I was just talking with a Coupa customer that had uncovered two billion dollars in indirect spend that they couldn't see before Coupa. And I just can't help, but think how many businesses in every industry are out there with billions in indirect spend that they literally can't see. If you can't see it, you can't be able to make the right decisions on it. Talk to me about enabling that visibility as a key outcome for your clients. >> Right, and I think that to your point it's not just that what we also see is there's not great duplicate detection. So a lot of times our customers or clients are paying their suppliers more than once for the same inventory. So getting their view on exactly what they're spending, what's paid, what's not paid, how is it impacting our supply chain? How is that balancing up against our revenue forecast? To make sure that we've got inventory moving through our supply chain at the right time. The visibility there is fundamental to being successful in the current day marketplace. >> Talk to me about now, some of your experiences working directly with Coupa clients. What are some of the things that you've been able to enable? Any stories stick out in your mind is this really articulates the value that we bring with to Coupa. >> Absolutely. So we worked with, we just wrapped up a project and the client was using some legacy ERPs. They had gone through a period of pretty significant MNA. So they have a pretty technology landscape and they wanted to find a procure to pay solution that met all of their requirements. And Coupa was the perfect fit. We helped walk them through the process and move towards a point where every single invoice had to get manually entered. Every single invoice had to get manually matched. >> Oh, wow. - Yeah. Two, to leveraging a lot of capabilities Coupa has around EDI and DCR and the supplier portal to automate a lot of that and then streamline a lot of the matching. And on the back end, just getting visibility into who you're spending your money with. As you mentioned you said two billion dollars of an indirect spend that they had no idea where that was going. That is very common >> Common? - Common. - Is it? I mean, not that amount, but the fact that you don't have, pure visible end to end spend is very common. >> Are you seeing any trends towards that, maybe changing, considering what we've all been through in the last two years when suddenly everybody went home and you couldn't get to those paper invoices or those paper POs, do you see more businesses going," help us out, we've got to digitize. We don't have a choice." >> Yes, absolutely. Absolutely. So it's moving suppliers onto more digital invoice submission methods whether it be the portal whether it be digital PDF sending in through common inboxes. And then moving it away from invoices not going to the manufacturing plants anymore. We've got that going to a central location. If it needs to be physical, you've got one place that houses it versus many desperate ones. >> Well, and Coupa talked a lot about that, the last couple days about essentially getting rid of the silos. - Yes. I was talking with Rob earlier today. Raja Hammoud was here as well. And talking about, there's still a lot of silos out there, that our organizations are operating under which limits their visibility and limits their potential, I think, to be competitive. >> Right. And I think what we find is procurement is historically, has been a very siloed organization. Because that's been the back of what a lot of businesses grow on as either R and D or procurement buyers. And they don't want to have a lot of control in their space. So making sure that they can have the flexibility to buy real time, maybe use a lot of institutional knowledge to overcome some process or system gaps. So there can be some challenges moving them into centralized model, but when you think about the broader business case on rationalizing your supplier base and making sure that you're getting most favorable terms with your suppliers. And then also having control over when cash goes out the door, who goes out the door too, far outweighs some of the other benefits associated with having it decentralized. >> These days, businesses in any industry don't have time to wait for tribal knowledge to be able to help determine the next direction. We are also used to everything on demand that the real time access to the data, the insights where are where's the money going? Who are we contracting with? That real time is no longer a nice thing to have for organizations. It's a requirement. >> Right. And, I think one big shift we've seen is, a lot of companies used to be organized functionally. So meaning you had finance operating a silo procurement operate in silo, IT operating a silo but that's really been flipped on its head. And then that now they're organized around end in processes. So when you look at procure to pay, you're touching a diverse set of stakeholders from sourcing, procurement, IT, treasury, legal, finance, and so on. So tribal knowledge doesn't work anymore. You have to have tight handoffs, you have to have tight orchestration and you need to have stakeholders aligned. >> How do you help customers navigate that? Because one of the things that can be challenging is, especially for maybe more historied organizations that are used to and very comfortable in their swim lanes and their silos. How do you help them from a change management perspective, be able to connect all those pieces together so that ultimately everybody's job is, able to deliver more value to the business? >> Right. So one of the things that we at Clearsulting are really good at is we understand the language of each of those stakeholder groups. So we can talk to finance, we can talk to procurement, we can talk to sourcing and IT and we understand what makes them tick, and what their objectives are and how they think. So when we work with our clients, we really make sure that we have that through line around. What's the common story here, the common message that's going to resonate with everyone because it's really important to have your stakeholders engaged and on board to have successful outcomes with Coupa or any sort of p to p transformation. >> I want to talk about talent for a second. You mentioned that a minute ago and we're all living through the great resignation. >> Yes. - I'm sure you have friends. I do too. That decided to make changes during the last couple of years. The opportunities are there, but it's important for companies to be able to retain talent. But, and part of that to your point earlier was especially for the younger generations you need to be able to have the technology and the capabilities to enable that generation to want to stay and grow within an organization. >> Right. And I think Coupa has really driven value to our client's talent strategies in a couple ways, chiefly, it's moving the robot out of a human, which I mentioned a little bit about earlier. So a lot of the activities that are repetitive, rule based, that historically we've thrown people out, to try and get it done. Now, the system can handle that. As long as you've got your processes designed accordingly, it can accommodate a lot of those exceptions. And the work that people are supporting after that is more meaningful, right? It's understanding, okay, what's valuable to the business? How can I help support decisions to do that? And what can we do around continuous improvement to continue to maximize what we're doing? And then secondly, around the great resignation, the remote or hybrid model is a key recruit recruitment mechanism. - Yes. And using Coupa, which is a SaaS solution. And one that can be orchestrated and designed globally, allows for more flexible models both from remote to in person but also allows for global flexibility, right? And global workflows. >> Global flexibility, global workflows, but also that global collaboration that I think we've we all need to have. And that's really what Coupa thrives on that community. That's really, I always say it's very symbiotic. >> Yeah, absolutely. Absolutely. And Coupa being an integrated solution that as we mentioned, is end to end source to pay, allows for seamless intergration across each of your communities and each parts of your business, because then you can look at things globally as opposed to some of the siloed and more regional views that they had before. >> Right. What are some of the, the last question for you. What are some of the things that are exciting to you about what you've heard at the event the last couple of days, some of the future direction of Clearsulting. What's on your plate? >> The session yesterday morning around collaboration was really powerful to us. Because we find the collaboration with our clients is a big change agent to driving value. And then thinking about your supplier network as an ecosystem to collaborate on, is a big takeaway from us this weekend. And it's been really powerful to see everyone working together and finding creative solutions that meet everyone's needs in a global workforce. >> Yep. I agree. Kyle, thank you for joining me on the program this afternoon talking about Clearsulting, your partnership with Coupa and how you're helping those customers go touch us. We appreciate your insights. >> Thank you, Lisa, it's a pleasure to be here. >> All right. Well, Kyle Rogers, I'm Lisa Martin. You're watching the Cube's coverage of Coupa inspire day two, coming at you from Las Vegas. (gentle music)

Published Date : Apr 6 2022

SUMMARY :

We've been on the ground in to be a partner with Coupa. so the audience gets an understanding and procure to pay. One of the things that is the spirit So the ways we collaborate that are maybe in the infancy out of the business but And the last 10 to 20 years we've seen that are in the workforce today. in the last couple of years. Is it just another the way of saying and really having the them to be able to focus - So that their So when you think about things Talk to me about enabling that visibility Right, and I think that to your point What are some of the things and the client was using some legacy ERPs. And on the back end, the fact that you don't have, in the last two years when If it needs to be physical, I think, to be competitive. and making sure that you're that the real time access and you need to have stakeholders aligned. Because one of the things So one of the things the great resignation. and the capabilities to So a lot of the activities And that's really what Coupa as opposed to some of the siloed to you about what you've is a big change agent to driving value. on the program this afternoon a pleasure to be here. coming at you from Las Vegas.

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Beth Davidson & Raj Behara, Agero | AWS re:Invent 2020


 

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Hello, everyone, and welcome back to the cubes. Continuing coverage of AWS reinvent 2020 Virtual the Cube Virtual. We're here covering the partner ecosystem and some of the new innovations coming from the reinvent community. Let's talk about something that anyone who drives a vehicle can relate to. Roadside assistance with me or Beth Davidson, chief marketing officer at a zero, and Raj borrows the vice president and c t o at zero folks, welcome to the Cube. >>Hello, nice to see you. >>So let's start with you. Maybe talk a little bit about your your mission, how you work with automakers. You've got, you know, a lot of good pipeline, their insurers and other others in the in the ecosystem. Tell us about the company. >>Absolutely. So for 50 years, we've been helping consumers with their cars. Um, that's what it comes down Thio. We know that one in three people has a roadside event every year on the way you think about that is, you know, if in three years you haven't had a roadside event, tick tock. You know, statistically, it's coming for you. We work with everybody. We work with the auto manufacturers. We work with the insurers. What we're trying to do is get closer to consumers. On the reason you may have never heard of a Gero is that's by design. Were white label. We work for our clients typically on. Do you know they trust us with their consumers? They trust us with their brands. Um, and we're just in the business of getting consumers back on the road. >>Thank you for that. So talk a little bit about how you approach this problem. I mean, you looked out roadside assistance, and you know, we can again all relate. Oh, am I up to date or at least the car? So there's gotta be some kind of 800 number in my glove compartment somewhere, right? So what was the state of roadside assistance before you guys got involved? And maybe we could get into sort of how you solve the problem. >>Yeah, I think that's a great question, Dave, as we look at roadside assistance, everyone things about picking up the phone number 800 number from the glove box compartment And over the years we have invested heavily on bringing a fully digital experience to our customers from insurance companies to AM. And when this Alexa opportunity came up earlier this summer, he said, Hi. How about taking that digital experience, adding, all the Alexa do goods goods about voice interaction, making it very interactive for the users to request that experience in a very normal consumer friendly, friendly were and brought that we integrated all those services got that whole uber like experience with for roadside assistance? >>Yeah. Now. So, Beth, you know, I reminded when, like the smart TV first came out, you had a type in right, and we're really getting spoiled now. It should be easy as a blink. Okay, so you're unveiling blink, you know, what's this service all about? >>So this service is about, you know, trying to get to consumers as easy as we can and getting removing the friction. Right? So what Rogers just talking about is again we asked consumers. We say, you know, imagine that tomorrow you went out and there was a flat tire on your car in your driveway. What do you dio? And universally, they pause and They're like, I don't know. I haven't thought about it, right. And then they start making up stuff. Like maybe I'm gonna go through the glove box. Maybe I'm going to go through my files. But wouldn't it be great if they could just kind of talked to the air and say, Alexa, what? Doe ideo and have it work for them, you know, And that's one friction. The second friction is consumers actually don't know their addresses or don't know it. Well, we joke around the office about the difference between saying you're on route one and Route one A is is the difference between 20 minutes of that tow truck getting to you in time. You know, these air points of friction that technology can help us with, you know, and then with payments even better, Right? So the fact that you can pay for this thing with Amazon pay and you don't have to worry about having cash for a driver or have a credit card. I mean, there's just so many points of friction that are reduced by using Alexa. >>Okay, so let's talk about the the integrations here in the technical aspects of how you put everything together and made it work, and we'll get into some of the cloud aspect >>Attack launched. We're asking users to tell what they want, and they can tell the whole address. They can get the address from the Alexa device. Or if it is Alexa Auto. The GPS will provide us the Latin belong. And we take that address and we get what kind of experience they want. Whether it is a flat tire, we're going to send somebody else to put despair. If it is a jump start, we're gonna put send somebody Thio jumps out the vehicle. So depending on that, we put pull all that information together, get this consent for the user to charge their an Amazon parrot card on profile, and then go So it's literally to come to sentences. And then we're on. We're on to sending you experience with some of the text messages that will allow you to truck tractor truck coming down to your driver. >>Now I'll show my age. So yeah, we've all I don't have all but I've been locked out of the car many times Now, in the old days, used to be able to get a coat hanger and pop it open. But so? So that people still get locked out of their cars. >>Yes, cars. More often than not, it's, you know, the key. Fob stopped working, right? Lost the battery of my key fob these days. But it's the equivalent. >>Alright, so All right, so right. What else do you guys do in the cloud? Do you use a W s for your own business? Maybe share with us some of >>the over the years. For the past 78 years, we have, uh, integrated and got all of our technologies into the AWS cloud. And we have now revamped and re innovated on top of those and create a new product lines. We have accident scene management. We do, um, handle automatic clash notifications for some of our partner customers. We dio dealer service appointments, so we do a lot of these things. And all of these are not possible without the amazing teams. 20 or so teams that we have across three continents working on 50 plus, uh, approved services on aws, uh, innovating around the clock, bringing these new innovations to our market. >>So, Beth, you were saying earlier that you, you know, want to reach out to the consumer. I mean, how do you market? Uh, you obviously go through through partners. And I'm curious system, What's your go to market and maybe how you're different from from others in the marketplace, >>right? Eso again because we're white label with most of the client side business that we do, we help our clients message better on DSO. We talked to them about how often you have to remind people that this isn't a one and done, um, on the skill store for Alexa. You know how we're different is you know, you don't aske much as I love the branding that we came up with blank roadside. You know, you don't actually have to use it. You don't have to say, Alexa, open my blank roadside. You could just say, Alexa, help me with my flat tire, which really helps cut out the fact that I actually need to market the brand like a traditional market or would have had Thio. But our biggest problem is how do you market something to someone in that moment of need, right? How do I How do I prime you to get you to think about it way, way before you ever actually have the problem. >>And how do you charge for the service? >>Eso It's it's a flat fee on did. It's better than what consumers would be able to get on their own. Or at least we believe so. But it is a flat fee for any kind of road service, so it's flat tire. It's dead batteries. It's winching you out. You know, it's it's all of those things. Um, that can happen to you that are just kind of those minor everyday mishaps. >>Okay? And so and so do I. How do I get it? Do I do I have tow hope that my you know, if I'm leasing a car that the auto has it, can I go direct? How doe I >>all direct? It's all direct. So you don't have to worry about an I d number membership number. You're just paying for it out of your Amazon account on. Do you know you don't have to worry about knowing your how many digit vin number. You know, none of that stuff. It's just one and done. >>Awesome. So, Raja, I wonder if you could talk a little bit about your your scale. Um, maybe I don't know if you can share any metrics and what What factors? The cloud generally and a W s specifically has has played and enabling that scale. >>Yeah, we have amazing number of integrations with our Fortune 100 insurance companies. Um, over 35 insurance companies and we have 100 and 70 b two b clients today, Um, and we integrate with them were deeply, um, uh integrated into the building systems into their coverage systems. And all of that is to be able to provide that sub minute sub second experience to our customers when they're calling in, uh, when they need the service. Um, right now we do over a billion AP A calls. As a result of these transactions, all these integrations or for quarter and all of these, uh, our third parties, service providers who go around the on the roads and provide this location information today off the tow trucks to us, all of these 8 8000 or so trucks extreme that information to us almost on every hour. So we bring all that information together on the AWS platform, stream it back shaded back in a very secure private manner back to the customers, right at the moment of need. >>Yeah, So I mean, without the cloud, you'd be backing up. You know, the servers to the truck to the loading dock. And it would just take so much longer toe spin up new products. I would imagine that you guys have a lot of ideas about new data products or new services that you can you can provide. Um, you probably I'm sure you can tell us what they are, But but in terms of the time, it takes you to conceive toe to get to the market. That must be impressed with the cloud. >>Yeah, it's a fraction of what it used to take years ago when we were not in AWS, right? And it also allows us to not to spend all this time on worrying about the same thing that you used to worry about for every project. Now you can actually think about how, what how you let be able to leverage new innovations that are coming in and actually improve improve the experience with some kind of intelligence that is added on, which makes the experience much smoother for people. >>Well, Beth will give you last word. But first of all, thanks for helping us make our lives even even better and more convenient. But bring us home. What's the last word here? >>So the last word is, you know, we dio we do 12 million events a year right now, right? And if you if you like math, it's 35,000 day. It's 20 for every minute, you know. And the work that that Rajan team have done to make the scalable means we're ready to do the next 12 million on. Do you know we know. We know there are consumers out there having those events. We just want to be there for you, you know, take care of that frustrating event on get you back >>on the road. Well, it's just, you know, having you there and being able to push a button and talk to a device is just It's a game changer. So thank you guys for coming on the cube and sharing your story really interesting. Yeah. All right. Thanks for watching. Keep it right there. You're watching the cubes coverage of aws reinvent 2020. We'll be right back right after this short break

Published Date : Dec 15 2020

SUMMARY :

It's the Cube with digital You've got, you know, a lot of good pipeline, their insurers On the reason you may have never heard of a Gero is that's by design. And maybe we could get into sort of how you solve the problem. And over the years we have invested heavily on bringing a fully digital experience you had a type in right, and we're really getting spoiled now. So the fact that you can pay for this thing with Amazon pay and you don't have to worry about having cash for a driver We're on to sending you experience with some of the text messages that will allow you to truck tractor in the old days, used to be able to get a coat hanger and pop it open. More often than not, it's, you know, the key. What else do you guys do in the cloud? innovating around the clock, bringing these new innovations to our market. I mean, how do you market? You know how we're different is you know, you don't aske much as I love the branding that Um, that can happen to you that are just kind of those minor everyday mishaps. my you know, if I'm leasing a car that the auto has it, can I go direct? So you don't have to worry about an I d number membership number. Um, maybe I don't know if you can share any metrics and what What factors? And all of that is to be able to provide that sub minute terms of the time, it takes you to conceive toe to get to the market. about the same thing that you used to worry about for every project. Well, Beth will give you last word. So the last word is, you know, we dio we do 12 million events a year right now, Well, it's just, you know, having you there and being able to push a button and talk to

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Raj Verma, MemSQL | CUBEConversation, August 2020


 

>>From the cube studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is a cute conversation. Welcome to this cube conversation. I'm Lisa Martin pleased to be joined once again by the co CEO of mem sequel, Raj Verma, Raj, welcome back to the program. >>Thank you very much, Lisa. Great to see you as always. >>It's great to see you as well. I always enjoy our conversations. So why don't you start off because something that's been in the news the last couple of months besides COVID is one of your competitors, snowflake confidentially filed IPO documents with the sec a couple months ago. Just wanted to get your perspective on from a market standpoint. What does that signify? >>Yeah. Firstly, congratulations to the snowflake team. Uh, you know, I've, I have a bunch of friends there, you know, John McMahon, my explosives on the board. And I remember having a conversation with him about seven years ago and it was just starting off and I'm just so glad for him and Bob Mobileye. And, and as I said, a bunch of my friends who are there, um, they're executed brilliantly and, uh, I'm thrilled for that. So, um, we are hearing as to what the outcomes are likely to be. And, uh, it just seems like, uh, you know, it's going to be a great help. Um, and I think what it signifies is firstly, if you have a bit technology and if you execute well, good things happen and there's enough room for innovation here. So that is one, the second aspect is I think, and I think more importantly, what it signifies is a change of thought in the database market. >>If you really see, um, and know if my memory serves me right in the last two decades or probably two and a half buckets, we just had one company go public in the database space and that was Mongo. And, um, and that was in, I think October, 2017 and then, uh, two and a half years. So three years we've seen on other ones and uh, from the industry that we know, um, you know, there are going to be a couple that are going to go out in the next 18 months, 24 months as well. So the fact is that we had a, the iron grip on the database market for almost, you know, more than two decades. It was Oracle, IBM that a bit of Sybase and SAP HANA. And now there are a bunch of companies which are helping solve the problems of tomorrow with the technology of the month. >>And, uh, and that is, um, that is snowflake is a primary example of that. Um, so that's a, that's good change. God is good. I do think the incumbents are gonna find it harder and harder going forward. And also if you really see the evolution of the database market, the first sort of workloads that moved to the cloud with the developer workloads and the big benefactor that that was the no secret movement and one company that executed in my opinion, the best was Mongol. And they were the big benefactor of that, that sort of movement to the cloud. The second was the very large, but Moisey database data warehouse market, and a big benefactor of that has been snowflake big queries, the other one as well. However, the biggest set of tsunami of data that's we are seeing move to the cloud is the operational data, which is the marriage of historical data with real time data to give you real time insights as, or what we call the now are now. >>And that's going to be much, much bigger than, uh, than both the, you know, sequel or the developer data movement and the data warehouse. And we hope to be a benefactor of that. And then the shake up that happens in the database market and the change that's happening there, isn't a vendor take on market anymore, and that's good because you don't then have the stranglehold that Oracle had and you know, some of the ways that are treated as customers and help them to run some, et cetera, um, yeah. And giving customers choice so that they can choose what's best for the business is going to be, it's going to be great. And me are going to see seven to 10 really good database companies in large, in the next decade. And we surely hope them secret as one of them of, we definitely have the, have the potential to be one of them. >>You have the market, we have the product, we have the customers. So, you know, as I tell my team, it's up to us as to what we make of it. And, um, you know, we don't worry that much about competition. You did mention snowflake being advantage station. We, yeah, sure. You know, we do compete on certain opportunities. However, their value proposition is a little more single-threaded than ours. So they are more than the Datavail house space are. Our vision of the board is that, uh, you know, you should have a single store for data, whether it's database house, whether it's developer data or whether it's operational data or DP data. And, uh, you know, watch this space from orders. We make somebody exciting announcements. >>So dig into that a little bit more because some of the news and the commentary Raj in the last, maybe six weeks since the snowflake, um, IPO confidential information was released was, is the enterprise data warehouse dead. And you just had a couple of interesting things we're talking about now, we're seeing this momentum, huge second database to go public in two and a half bigots. That's huge, but that's also signifying to a point you made earlier. There's, there's a shift. So memes SQL isn't, we're not talking about an EDW. We're talking about operational real time. How do you see that if you're not looking in the rear view mirror, those competitors, how do you see that market and the opportunities? >>Yeah, I, I don't think the data warehouse market is dead at thought. I think the very fact that, you know, smoke makers going out at whatever valuation they go out, which is, you know, tens of billions of dollars is, um, is a testimony to the fact that, you know, it's a fancy ad master. This is what it is. I mean, data warehouses have existed for decades and, uh, there is a better way of doing it. So it's a fancy of mousetrap and, and that's great. I mean, that's way to money and it's clearly been demonstrated. Now what we are saying is that I think that is a better way to manage the organization's data rather than having them categorized in buckets of, you know, data warehouse, data developer, data DP, or transactional data, you know, uh, analytical data. Is there a way to imagine the future where there is one single database that you can quit eat, or data warehouse workloads for operational workloads, for OLTB work acknowledge and gain insights. And that's not a fancier mousetrap that is a data strategy reimagine. And, uh, and that's our mission. That's our purpose in life right now and are very excited about it's going to be hard. It's not, it's not a given it's a hard problem to solve. Otherwise, if you can solve it before we have the, uh, we have the goods to deliver and the talent, the deliberate, and, um, we are, we are trying it out with some very, very marquee customers. So we've been very excited about, >>Well, changing of the guard, as you mentioned, is hard. The opposite is easy, the opposite, you know, ignoring and not wanting to get out of that comfort zone. That's taken the easy route in my opinion. So it seems like we've got in the market, this, this significant changing of the guard, not just in, you know, what some of your competition is doing, but also from a customer's perspective, how do you help customers, especially institutions that have been around for decades and decades and decades pivot quickly so that the changing of the guard doesn't wipe them out. >>Yeah. Um, I actually think slightly differently. I think changing of the guard, um, wiping out a customer is if they stick or are resistant to the fact that there is a change of God, you know, and if they, if they hold on to, as we said in our previous conversation, if you stick onto the decisions of yesterday, you will not see the Sundays of tomorrow. So I do think that, uh, you know, change, you have a, God is a, is a symbolism, not even a symbolism as a statement to our customers to say, there is a better way of doing, uh, what you are doing to solve tomorrow's problem. And then doesn't have to be the Oracles and the BB tools and the psychosis of the world. So that's, that's one aspect of it. The second thing is, as I've always said, you're not really that obsessed about, uh, competition. >>The competition will do what they do. Uh, we are really very focused on having an impact in the shortest period of time on our customers and, uh, hopefully a positive impact. And if you can't do it, then, you know, I've had conversations with a few of them saying, maybe be not the company for you. Uh, it's not as if I have to sort of, software's a good one. I supply to the successful customers in the bag to do the unsuccessful with customers. The fact is that, you know, in certain, certain places there isn't an organizational alignment and you don't succeed. However, we do have young, we have in the last 14 months or so made tremendous investments into really ease of use of flexibility of architecture, which is hybrid and tactile, and that shrinking the total time to value for our customers. Because if I, if I believe you, if you do these three things, you will have an impact, a positive impact on the customer, in the sharpest, uh, amount of time and your Lindy or yourself. And I think that is more important than worrying needlessly about competition. And then the competition will do what they do. But if you keep your customers happy by having a positive impact, um, successes, only amount of time, >>Customers and employees are essential to that. But I like that you talked about customer obsession because you see it all over the place. Many people use it as descriptors of themselves and their LinkedIn profiles, for example, but for it actually to be meaningful, you talked about the whole objective is to make an impact for your customers. How do you define that? So that it's not just, I don't want to say marketing term, but something that everyone says they're customer obsessed showing it right within the pudding. >>It's easy to say we are customer obsessed. I mean, this organization is going to say we don't care about our customer. So, you know, of course we all want our customers to be successful. How do you, that's easy, you know, having a cultural value that we put our customers first is, was easy, but we didn't choose to do that. What we said is how do you have an impact on your customer in the shortest amount of time, right? That is, that is what you have. I'm sequel and Lee have now designed every process in mem sequel to align with that word. If, if that is a decision that we have to make a B essentially lenses through the fact of what is in the best interest of our customer and what will get us to have an impact, a positive impact on the customer in the shortest amount of time, that is a decision, which is a buy decision for us to make. >>A lot of times it's more expensive. It's a, a lot duffel. It stresses the, um, the, the, the organization, um, and the people in it. But that's, uh, that's what you have to do if you are. Um, if you are, you know, as, as they say, customer obsessed, um, it is, it's just a term which is easy to use, but very difficult to put here too. And we want to be a tactic. It right to be, we are going to continue to learn. It's a, it's not a destination, it's a journey. And we continue to take decisions and refine our processes do, as I said, huh, impact on our customers in the shortest amount of time. Now, obsessiveness, a lot of times is seen as a negative in the current society that we live in. And there's a reason for that because the, they view view obsession, but I view obsession and aggression is that is a punishing expression, which is really akin to just being cruel, you know, leading by fear and all the rest of it, which is as no place in any organization. >>And I actually think that in society at large, nothing, I believe that doesn't have any place in society. And then there's something which I dumb as instrumentalists, which is, this is where we were. This is where we are. This is where we are going and how do we track our progress on a daily, weekly, monthly basis? And if we, aren't sort of getting to that level that we believe we should get to, if our customers, aren't seeing the value of dramas in the shortest amount of time, what is it that we need to do better? Um, is that obsession, our instrumental aggression is, is, is what we are all about. And that brings with it a level of intensity, which is not what everyone, but then when you are, you know, challenging the institutions which have, uh, you know, the also has to speak for naked, it's gonna take a Herculean effort to ask them. And, uh, you know, the, the basically believed that instrumental aggression in terms of the, uh, you know, having an impact on customer in the shop to smile at time is gonna get us there. And a, and B are glad to have people who actually believe in that. And, uh, and that's why we've made tremendous progress over the course of last, uh, two years. >>So instrumental aggression. Interesting. How you talked about that, it's a provocative statement, but the way that you talk about it almost seems it's a prescriptive, very strategic, well thought out type of moving the business forward, busting through the old guard. Cause let's face it, you know, the big guys, the Oracles they're there, they're not easy for customers to rip and replace, but instrumental aggression seems to kind of go hand in hand with the changing of the guard. You've got to embrace one to be able to deliver the other, right. >>Yeah. So ducks, I think even a fever inventing something new. Um, I mean, yeah, it just requires instrumental aggression, I believe is a, uh, uh, anchor core to most successful organizations, whether in IP or anywhere else. That is a, that is a site to that obsession. And not, I'm not talking about instrumental aggression here, but I'm really talking about the obsession to succeed, uh, which, uh, you know, gave rise to what I think someone called us brilliant jerks and all the rest of it, because that is the sort of negative side of off obsession. And I think the challenge of leadership in our times is how do you foster the positivity of obsession, which needs to change a garden? And that's the instrumental aggression as a, as a tool to, to go there. And how do you prevent the negative side of it, which says that the end justifies the means and, and that's just not true. >>Uh, there is, there is something that's right, and there's something that's wrong. And, uh, and if that is made very clear that the end does not justify the meanings, it creates a lot of trust between, um, Austin, our customers, also not employees. And when their inherent trust, um, happens, then you foster, as I said, the positive side of obsession and, um, get away from the negative side of obsession that you've seen in certain very, very large companies. Now, the one thing that instrumental aggression and obsession brings to a company is that, uh, it makes a lot of people uncomfortable, and this is what I continue to tell. Um, our, our employees and my audience is, um, you know, be comfortable being uncomfortable because what you're trying to do is odd. And it's going to take a, as I say, a Herculean effort. So let's, uh, let's be comfortable being uncomfortable, uh, and have fun doing it. If there's, uh, how many people get a chance to change, uh, industry, which was dominated by a few bears and have such a positive impact, not only on our estimates, but society at large. And, uh, I think it's a privilege. Pressure is a privilege. And, uh, I'm grateful for the opportunity that's been afforded to me and to my colleagues. And, uh, >>It's a great way. Sorry. That's a great way of looking at it. Pressure is a privilege. If you think about, I love what you said, I always say, get, you know, get comfortably uncomfortable. It is a heart in any aspect, whether it's your workouts or your discipline, you know, working from home, it's a hard thing to do to your point. There's a lot of positivity that can come from it. If we think of what's happening this week alone and the U S political climate changing of the old guard, we've got Kamala Harris as our first female VP nominee and how many years, but also from a diversity angle, from a women leadership perspective, blowing the door wide open. >>It's great to see that, um, you know, we have someone that my daughter's going to look up to and say that, uh, you know, yes, there is, there is a place for us in society and we can have a meaningful contribution to society. So I actually think that San Antonio versus nomination is, um, you know, it's a simple ism of change of God, for sure. Um, I have no political agendas, um, at all. Then you can see how it pans out in November, but the one thing is for sure, but it's going to make a lot of people uncomfortable, a change of God, or this makes a lot of people. And, and, uh, and you know, I was reflecting back on something else and in everything that I've actually achieved, which is, is something I'm proud of. I had to go through a zone, but I was extremely uncomfortable. >>Uh, Gould only happens when you have uncomfortable, um, girl to happens in your conference room. And, um, whether it's, um, you know, running them sequel, uh, or are having a society change, uh, if you stick to your comfort zone, you stick to your prejudices and viruses because it's just comfortable there, there's a, uh, wanting to be awkward. And, uh, and, and I think that that's that essential change of God. As I said, at the cost of repeating myself will make a lot of people uncomfortable, but I honestly believe will move the society forward. And, uh, yeah, I, um, I couldn't be more proud of, uh, having a California San Diego would be nominated and it's a, she brings diversity multicultural. And what I loved about it was, you know, we talk about culture and all the rest of it. And she, she was talking about how our parents who were both, uh, uh, at the Berkeley when she was growing up, we were picking up from and she be, you know, in our, in our prime going to protests and Valley. >>And so it was just, uh, it was ingrained in her to be able to challenge the status school and move the society forward. And, uh, you know, she was comfortable being uncomfortable when she was in that, you know, added that. And that's good. Maybe not. I think we sort of, uh, yeah, I, yeah, let's see, let's see what November brings to us, but, um, I think just a nomination has, uh, exchanged a lot of things and, uh, if it's not this time, it can be the next time, but at the time off the bat, but you're going to have a woman by woman president in my lifetime. Um, that's um, I minced about them, uh, and that's just great. >>Well, I should hope so too. And there's so many, I know we've got to wrap here, but so many different data points that show that that technology company actually, companies, excuse me, with women in leadership position are significantly 10, 20% more profitable. So the changing of the guard is hard as you said, but it's time to get uncomfortable. And this is a great example of that as well as the culture that you have at mem sequel Raja. It's always a pleasure and a philosophical time talking with you. I thank you for joining me on the cube today. >>Thank you me since I'm just stay safe, though. >>You as well for my guest, Raj Burma, I'm Lisa Martin. Thank you for watching this cube conversation.

Published Date : Aug 25 2020

SUMMARY :

From the cube studios in Palo Alto in Boston, connecting with thought leaders all around the world. It's great to see you as well. uh, it just seems like, uh, you know, it's going to be a great help. from the industry that we know, um, you know, there are going to be a couple that are going to go out in the next 18 months, And also if you really see the evolution of the database market, you know, sequel or the developer data movement and the data warehouse. And, uh, you know, watch this space from orders. in the rear view mirror, those competitors, how do you see that market and the opportunities? is, um, is a testimony to the fact that, you know, it's a fancy ad master. Well, changing of the guard, as you mentioned, is hard. So I do think that, uh, you know, And if you can't do it, then, you know, I've had conversations with a few of them saying, maybe be not the company for you. But I like that you talked about customer obsession because you see it So, you know, of course we all want our customers to be successful. that is a punishing expression, which is really akin to just being cruel, you know, aggression in terms of the, uh, you know, having an impact on customer in the shop to smile at time is gonna you know, the big guys, the Oracles they're there, they're not easy for customers to rip and replace, which, uh, you know, gave rise to what I think someone called us brilliant jerks and all the rest our, our employees and my audience is, um, you know, be comfortable being uncomfortable because what you know, working from home, it's a hard thing to do to your point. It's great to see that, um, you know, we have someone that my daughter's And, um, whether it's, um, you know, running them sequel, uh, or are having a society uh, you know, she was comfortable being uncomfortable when she was in that, you know, added that. I thank you for joining me on the cube today. Thank you for watching this cube conversation.

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Al Williams, Managing Director and Chief Procurement Officer, Barclays


 

from London England it's the cube covering Koopa inspire 19 emia taught to you by Koopa hey welcome to the cube Lisa Martin coming to you from London I'm at Koopa inspire 19 pleased to be joined by one of Koopas spent setters hit me here is alla Williams the managing director and chief procurement officer at Barclays al welcome to the cube Thank You Lisa thanks for having me so Barclays is a three hundred plus year old Bank three hundred and thirty five years I think I also was was headquartered in London I didn't know this until he did some research Barclays is the pioneer of the ATM yes and a credit card in the UK credit card why first credit card in the UK and the pioneer in inventor of the ATM correct yes so when we think of an organization that is three hundred and thirty five years old we think how agile is that organization how transformative can it be talk to me about what it's like at Barclays from a digital perspective before we get into some of the procurement stuff which or not but tight and culture like that's a great question right could you think about a three hundred thirty-five year old Bank how innovative could it can it be right how agile can it be and the market in the the sector we work in requires us to be very agile because banking is a disrupted sector especially on the retail and consumer side expectations around technology and mobile capabilities and digital transformation are the most significant they've ever been in this sector and so for Barclays it's it's absolutely key that we deliver on those capabilities both in terms of our front office for our consumers and our corporate clients as well as for our own employees within the bank how influential is the consumer side because as consumers we are so used to being able to get anything that we want we can buy products and services we can pay bills with a click or swipe on the on the business side it's harder for businesses to transform and innovate it's a lot of other risks and security issues how influential is Barclays Barclays is your retail your consumer business in terms of your b2b work and that's a great question because I think the the experiences that shape people's expectations come from their interactions in retail and consumer when it comes to b2b and traditionally business-to-business commerce and financial transactions haven't been nearly as sophisticated streamlined or frictionless you know as you would in a consumer model so the expectations are built on the consumer side in consumer to business type models and then the business and business models been playing catch-up for the last several years as a result talk to me about now the role of finance leaders I was reading surgery that Kupa did recently have 253 uk-based financial decision makers and a big number of them I think it was 96 percent said we don't have complete visibility of all of our spent there's a big opportunity there to work with a company like Cooper but talk to me about how the role of the chief procurement officer is changing you've been doing it for quite a while you're a veteran right some of the trends that you have seen that you've really jumped on and said this is the direction we need to be going in right so I've been the chief procurement officer of Barclays for two and half years and the CEO of a large global technology company for nine years before that so I think the the the role of the chief procurement officer has changed significantly over the course of the last say 10 years five years two years we're at a point now where the chief procurement officer is seen as a source of and the organization of procurement is seen as a source of innovation it's seen as a source of capacity creation for the the the organization for the company and it's also seen as sort of a steward of the portfolio of spins for that particular organization to ensure we're maximizing the utility and value of that spend and of that supply chain so the expectations for procurement have tripled quadrupled or more fold in the last you know four or five years some of the interesting things that we're hearing from Koopa and from their customers and partners today is beyond simply initiative to simply but beyond you know dramatically improving procurement and invoicing and dispensing and leveraging the platform as one source for visibility of all that spent but it's being transformative to completely other areas like I was hearing a story of a customer who redefined procurement and is actually positively impacting corporate sustainability yes Wow so talk to me a little bit about I know one of the things that you really thrive on is competition how are you leveraging that and maybe your old American football days to build and maybe foster a sense of collaborative competition within your team to transform procurement at Barclays yes so I think that whether it's in sport or whether it's in business I think the concept of teams is key and effective teams are built on trust they're built on empowerment they they're built on collaboration open communication limited asymmetry and information as it's passed and that's all about kind of driving agility for whether you're on this on the football field American footballer or other football or on or in a business environment of business context so you know it's really and as a CEO and for all of the leaders on my team it's also about being a player coach and knowing when you need to be a player when you need to sort of roll up sleeves contribute in a particular area or particular solving a particular problem but more importantly when you need to be coached and and help those players sort of and those team members in on the team sort of step up to the challenge and coach them to be more success see Bennet Berkeley's a couple years now talk to me about your use case the purpose has with Koopa what are you guys doing together and what are some of the transformations that both internally and externally you've been able to achieve yeah so the relationship with coop has been great again I joined to make a couple of years ago one of the sort of first pillars associated with our overall transformation journey of centralizing procurement from five different procurement or six different procurement organizations really to moving to strategic locations to building out a new organization structure and operating model for for procurement I won't go into all that but one of the key pillars was around technology and we didn't have a common procure-to-pay or source to pay capability that extended or threaded throughout the bank for managing and supply chain so early on when I joined Barclays partnered partnering with Koopa working both of our teams working very effectively together to deploy sort of country by country and region by region we're now in 11 countries with the Koopa source to pay platform we're going to point to six more by the end of this calendar year and over 95% of our spend is flowing through Koopa as a multinational banks so it's been a significant component of our overall transformation journey for for Barclays and part of that transformation journey the technology piece is important that all a lot of its cultural we talked about a history of a three hundred and thirty-five year old organization but also going from five different procurement organizations down to one using a central platform that's challenging to get folks on board right being comfortable with change is your spirit of competitiveness was that a facilitator of getting adoption so that you could get them well I think so I mean I think to get the most out of teams and the most out of any organization large or small you need to galvanize around a common set of goals and objectives the the adage we ought to be pulling on the rope together to achieve achieve the end result and I think in the case of the sort of our Koopa journey both in terms of its strategy and overall deployment it was something more or less our entire procurement organization was able able to galvanize around and in feel like they were a part of and it it created an identity for us within Barclays as a procurement organization as well and kind of put his front and center with our business units and our stakeholders in a way we had we'd never been before so in terms of procurement having a seat at the board table is that something now that you have the ability to do with Barclays and be much more of a strategic driver of business yeah and look at Barclays compared to some of my other experiences it's not an it's not an issue of not having a seat at the table we might have a seat at too many tables sometimes there's a lot of attention on procurement within Barclays to help it deliver on its strategic objectives so with that seat comes a lot of responsibility so I often will coach my teams to ensure that they understand kind of that that that component of it's not just about having a seat at the table it's about what we're going to contribute what are we going to do differently when we're at that table when we're helping shape the decisions for the organization and what are the accountabilities and responsibilities that will pick up as a result and deliver on those promises that's absolutely critical one of the things that was talked about this morning is to trust Rob Bernstein talked about it they also had a guest speaker Rachel Botsman who's a trusted expert it was such an interesting conversation you know we talked about any chuck event that the cube goes to you always talk about trust got to have trust in the data you gotta have trust in your suppliers but what they were talking about here was really being an enabler of trust but cooper really working to earn the trust of its customers tell me about how has earned your trust and also allowed you to have those better discussions at the board table so that you have marked trusted relationships with your executive and your peer team yeah I mean it all starts for Barclays at the very top of the house in front office because we're in the business of trust I mean Bank a bank is in the business of trust that's what we deliver and promise to our consumers and our corporate clients and I think you know within procurement we need to make sure we're sort of delivering on that same promise around around trust and building trust with our teams and with our suppliers in the case of Kupa frankly it was about asking them to ensure they appropriately set expectations with me with my team in terms of what we could or couldn't do with the capability right don't over promise and under deliver but actually be very prudent and practical about what we're gonna be able to get done and then deliver on those promises to the best of your ability but if something and I always do if something goes so not according to plan right it's be open communicative and direct with the issue and how we're going to address it that to me is how we build trust in any team and that's how we built trust with Kupa through our transformation over the last two years that's critical mister your point no deployment probably ever goes perfectly according to plan there are always things that happen whatever it is software hardware is that we're talking about and I think for companies to address that confront it help the customer through those challenges to me that's more valuable I'm saying everything went beautifully was flawless that's not reality right I completely agree and I think that's that's what separates good from great companies to write is their ability to build that trust whether it be within their supply chain with their clients with their employees and look it's it's a journey it's not something you're one and done and you can say okay we've got the trust you can lose it as easy as you can obtain it and you have to keep a focus on on those trusting relationships should think about that we've earned this trust but we have to focus on it so we don't lose it so we grow X having the focus on that because you're right whether it's a deployment of software it's not one and it's the same thing with any sort of trusted relationship right it's maintaining that it's ensuring that there's value right being delivered on both sides that's right tell me a little bit about your ability Barclays ability as a spend setter in this program that Cooper has to influence technology directions like they talk a lot about the community all the insights that they're able to deliver to the community because of the community as Burton is able to be a strategic her gir with Cooper rather than just a customer yeah Phil we are I mean Rob and his team Raja Ravi the entire crew are very receptive and they're very collaborative in hearing from an organization like Barclays now look I'll be the first to admit Barclays and in banking and banking specifically in the UK it's a different animal than many other companies and sectors that kupo would work in so what might work for other companies doesn't always work for us and kind of flipping that around there's certain things that we need from Koopa that that we've been able to partner with them to deliver over the course of the last two years and the relationship of coop has been fantastic they hear us they listen to us they help us understand what the solution can do what it can't do or won't be able to do in the near term and then how do we augment that in the right way so we don't create cottage industries of activity with Impa cure med when we could be leveraging the capability of ghupat to deliver on those services right so you mentioned a little bit about what's next for you guys in terms of rolling out the deployment a little bit more broadly last question for you is some of the news that came out today with the expansion of Koopa pay with American Express for example and just some of the other innovations that Koopa is making what are some of your thoughts what are some of the things that excite you about the direction are going in well yes so on the Koopa pay front I'm actually going to be on stage with Ravi tomorrow talking about Koopa pay because Mark Lee card is also a key component of that capability for the first virtual card that they integrated probably I believe it was yeah and and so so I think about payments is sort of the one not the only but one of the next frontiers from a source to pay or a procurement perspective and it's about how do we innovate in the payment space to get away from having that through the old traditional methods of adding suppliers you know detailed information to our vendor masters so that we can then eventually get an invoice and then reconcile payment remittance to invoices and sort of work through there's a lot of cost in that a lot of time and very little speed we want to move the dial on speed the value we want to move the dial on efficiencies and eventually get to a point where we can offer things like early payment discounts so by having control over our our payment process and that's where Koopa pay and the Barclaycard partnership with Koopa pay is really played a key role in making that happen so in q1 we made our commitment to deploy Koopa pay in q1 after we're through some of our deployments through the rest of this year on the base of the platform and look forward to continuing that journey next year on the payment side one last thing that just popped up I was doing some research and the b2c side is transformed much faster a lot of demand from the consumers we talked about that a moment ago do you see what the direction could the pay is going in with Barclays card for example as bringing in some of the consumer implements to start facilitating the acceleration that's needed there and I think yes I think that's exactly right because again when you think about the consumer side of payments or use it we're all using our phones we're using other digital means we're using wearables we're using different ways of buying and paying especially in retail and the first question we have to ask ourselves why can't those innovations be applied in a b2b space now kupah pay is I think a start of sort of that journey and certainly not the end you know destination but certainly I think it sets us off in the right direction yeah we as consumers are quite demanding yes I'll thank you for doing you on the cube ensuring the Barclays spends that our success rate good luck tomorrow in your keynote thank you for having me thank you pleasure I'm Lisa Martin you're watching the cube from cuca inspire London 19 thanks for watching

Published Date : Dec 7 2019

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Around theCUBE, Unpacking AI | Juniper NXTWORK 2019


 

>>from Las Vegas. It's the Q covering. Next work. 2019 America's Do You buy Juniper Networks? Come back already. Jeffrey here with the Cube were in Las Vegas at Caesar's at the Juniper. Next work event. About 1000 people kind of going over a lot of new cool things. 400 gigs. Who knew that was coming out of new information for me? But that's not what we're here today. We're here for the fourth installment of around the Cube unpacking. I were happy to have all the winners of the three previous rounds here at the same place. We don't have to do it over the phone s so we're happy to have him. Let's jump into it. So winner of Round one was Bob Friday. He is the VP and CTO at Missed the Juniper Company. Bob, Great to see you. Good to be back. Absolutely. All the way from Seattle. Sharna Parky. She's a VP applied scientist at Tech CEO could see Sharna and, uh, from Google. We know a lot of a I happen to Google. Rajan's chef. He is the V p ay ay >>product management on Google. Welcome. Thank you, Christy. Here >>All right, so let's jump into it. So just warm everybody up and we'll start with you. Bob, What are some When you're talking to someone at a cocktail party Friday night talking to your mom And they say, What is a I What >>do you >>give him? A Zen examples of where a eyes of packing our lives today? >>Well, I think we all know the examples of the south driving car, you know? Aye, aye. Starting to help our health care industry being diagnosed cancer for me. Personally, I had kind of a weird experience last week at a retail technology event where basically had these new digital mirrors doing facial recognition. Right? And basically, you start to have little mirrors were gonna be a skeevy start guessing. Hey, you have a beard, you have some glasses, and they start calling >>me old. So this is kind >>of very personal. I have a something for >>you, Camille, but eh? I go walking >>down a mall with a bunch of mirrors, calling me old. >>That's a little Illinois. Did it bring you out like a cane or a walker? You know, you start getting some advertising's >>that were like Okay, you guys, this is a little bit over the top. >>Alright, Charlotte, what about you? What's your favorite example? Share with people? >>Yeah, E think one of my favorite examples of a I is, um, kind of accessible in on your phone where the photos you take on an iPhone. The photos you put in Google photos, they're automatically detecting the faces and their labeling them for you. They're like, Here's selfies. Here's your family. Here's your Children. And you know, that's the most successful one of the ones that I think people don't really think about a lot or things like getting loan applications right. We actually have a I deciding whether or not we get loans. And that one is is probably the most interesting one to be right now. >>Roger. So I think the father's example is probably my favorite as well. And what's interesting to me is that really a I is actually not about the Yeah, it's about the user experience that you can create as a result of a I. What's cool about Google photos is that and my entire family uses Google photos and they don't even know actually that the underlying in some of the most powerful a I in the world. But what they know is they confined every picture of our kids on the beach whenever they whenever they want to. Or, you know, we had a great example where we were with our kids. Every time they like something in the store, we take a picture of it, Um, and we can look up toy and actually find everything that they've taken picture. >>It's interesting because I think most people don't even know the power that they have. Because if you search for beach in your Google photos or you search for, uh, I was looking for an old bug picture from my high school there it came right up until you kind of explore. You know, it's pretty tricky, Raja, you know, I think a lot of conversation about A They always focus the general purpose general purpose, general purpose machines and robots and computers. But people don't really talk about the applied A that's happening all around. Why do you think that? >>So it's a good question. There's there's a lot more talk about kind of general purpose, but the reality of where this has an impact right now is, though, are those specific use cases. And so, for example, things like personalizing customer interaction or, ah, spotting trends that did that you wouldn't have spotted for turning unstructured data like documents into structure data. That's where a eyes actually having an impact right now. And I think it really boils down to getting to the right use cases where a I right? >>Sharon, I want ask you. You know, there's a lot of conversation. Always has A I replace people or is it an augmentation for people? And we had Gary Kasparov on a couple years ago, and he talked about, you know, it was the combination if he plus the computer made the best chess player, but that quickly went away. Now the computer is actually better than Garry Kasparov. Plus the computer. How should people think about a I as an augmentation tool versus a replacement tool? And is it just gonna be specific to the application? And how do you kind of think about those? >>Yeah, I would say >>that any application where you're making life and death decisions where you're making financial decisions that disadvantage people anything where you know you've got u A. V s and you're deciding whether or not to actually dropped the bomb like you need a human in the loop. If you're trying to change the words that you are using to get a different group of people to apply for jobs, you need a human in the loop because it turns out that for the example of beach, you type sheep into your phone and you might get just a field, a green field and a I doesn't know that, uh, you know, if it's always seen sheep in a field that when the sheep aren't there, that that isn't a sheep like it doesn't have that kind of recognition to it. So anything were we making decisions about parole or financial? Anything like that needs to have human in the loop because those types of decisions are changing fundamentally the way we live. >>Great. So shift gears. The team are Jeff Saunders. Okay, team, your mind may have been the liquid on my bell, so I'll be more active on the bell. Sorry about that. Everyone's even. We're starting a zero again, so I want to shift gears and talk about data sets. Um Bob, you're up on stage. Demo ing some some of your technology, the Miss Technology and really, you know, it's interesting combination of data sets A I and its current form needs a lot of data again. Kind of the classic Chihuahua on blue buried and photos. You got to run a lot of them through. How do you think about data sets? In terms of having the right data in a complete data set to drive an algorithm >>E. I think we all know data sets with one The tipping points for a I to become more real right along with cloud computing storage. But data is really one of the key points of making a I really write my example on stage was wine, right? Great wine starts a great grape street. Aye, aye. Starts a great data for us personally. L s t M is an example in our networking space where we have data for the last three months from our customers and rule using the last 30 days really trained these l s t m algorithms to really get that tsunami detection the point where we don't have false positives. >>How much of the training is done. Once you once you've gone through the data a couple times in a just versus when you first started, you're not really sure how it's gonna shake out in the algorithm. >>Yeah. So in our case right now, right, training happens every night. So every night, we're basically retraining those models, basically, to be able to predict if there's gonna be an anomaly or network, you know? And this is really an example. Where you looking all these other cat image thinks this is where these neural networks there really were one of the transformational things that really moved a I into the reality calling. And it's starting to impact all our different energy. Whether it's text imaging in the networking world is an example where even a I and deep learnings ruling starting to impact our networking customers. >>Sure, I want to go to you. What do you do if you don't have a big data set? You don't have a lot of pictures of chihuahuas and blackberries, and I want to apply some machine intelligence to the problem. >>I mean, so you need to have the right data set. You know, Big is a relative term on, and it depends on what you're using it for, right? So you can have a massive amount of data that represents solar flares, and then you're trying to detect some anomaly, right? If you train and I what normal is based upon a massive amount of data and you don't have enough examples of that anomaly you're trying to detect, then it's never going to say there's an anomaly there, so you actually need to over sample. You have to create a population of data that allows you to detect images you can't say, Um oh, >>I'm going to reflect in my data set the percentage of black women >>in Seattle, which is something below 6% and say it's fair. It's not right. You have to be able thio over sample things that you need, and in some ways you can get this through surveys. You can get it through, um, actually going to different sources. But you have to boot, strap it in some way, and then you have to refresh it, because if you leave that data set static like Bob mentioned like you, people are changing the way they do attacks and networks all the time, and so you may have been able to find the one yesterday. But today it's a completely different ball game >>project to you, which comes first, the chicken or the egg. You start with the data, and I say this is a ripe opportunity to apply some. Aye, aye. Or do you have some May I objectives that you want to achieve? And I got to go out and find the >>data. So I actually think what starts where it starts is the business problem you're trying to solve. And then from there, you need to have the right data. What's interesting about this is that you can actually have starting points. And so, for example, there's techniques around transfer, learning where you're able to take an an algorithm that's already been trained on a bunch of data and training a little bit further with with your data on DSO, we've seen that such that people that may have, for example, only 100 images of something, but they could use a model that's trained on millions of images and only use those 100 thio create something that's actually quite accurate. >>So that's a great segue. Wait, give me a ring on now. And it's a great Segway into talking about applying on one algorithm that was built around one data set and then applying it to a different data set. Is that appropriate? Is that correct? Is air you risking all kinds of interesting problems by taking that and applying it here, especially in light of when people are gonna go to outweigh the marketplace, is because I've got a date. A scientist. I couldn't go get one in the marketplace and apply to my data. How should people be careful not to make >>a bad decision based on that? So I think it really depends. And it depends on the type of machine learning that you're doing and what type of data you're talking about. So, for example, with images, they're they're they're well known techniques to be able to do this, but with other things, there aren't really and so it really depends. But then the other inter, the other really important thing is that no matter what at the end, you need to test and generate based on your based on your data sets and on based on sample data to see if it's accurate or not, and then that's gonna guide everything. Ultimately, >>Sharon has got to go to you. You brought up something in the preliminary rounds and about open A I and kind of this. We can't have this black box where stuff goes into the algorithm. That stuff comes out and we're not sure what the result was. Sounds really important. Is that Is that even plausible? Is it feasible? This is crazy statistics, Crazy math. You talked about the business objective that someone's trying to achieve. I go to the data scientist. Here's my data. You're telling this is the output. How kind of where's the line between the Lehman and the business person and the hard core data science to bring together the knowledge of Here's what's making the algorithm say this. >>Yeah, there's a lot of names for this, whether it's explainable. Aye, aye. Or interpret a belay. I are opening the black box. Things like that. Um, the algorithms that you use determine whether or not they're inspect herbal. Um, and the deeper your neural network gets, the harder it is to inspect, actually. Right. So, to your point, every time you take an aye aye and you use it in a different scenario than what it was built for. For example, um, there is a police precinct in New York that had a facial recognition software, and, uh, victim said, Oh, it looked like this actor. This person looked like Bill Cosby or something like that, and you were never supposed to take an image of an actor and put it in there to find people that look like them. But that's how people were using it. So the Russians point yes, like it. You can transfer learning to other a eyes, but it's actually the humans that are using it in ways that are unintended that we have to be more careful about, right? Um, even if you're a, I is explainable, and somebody tries to use it in a way that it was never intended to be used. The risk is much higher >>now. I think maybe I had, You know, if you look at Marvis kind of what we're building for the networking community Ah, good examples. When Marvis tries to do estimate your throughput right, your Internet throughput. That's what we usually call decision tree algorithm. And that's a very interpretive algorithm. and we predict low throughput. We know how we got to that answer, right? We know what features God, is there? No. But when we're doing something like a NAMI detection, that's a neural network. That black box it tells us yes, there's a problem. There's some anomaly, but that doesn't know what caused the anomaly. But that's a case where we actually used neural networks, actually find the anomie, and then we're using something else to find the root cause, eh? So it really depends on the use case and where the night you're going to use an interpreter of model or a neural network which is more of a black box model. T tell her you've got a cat or you've got a problem >>somewhere. So, Bob, that's really interested. So can you not unpacking? Neural network is just the nature of the way that the communication and the data flows and the inferences are made that you can't go in and unpack it, that you have to have the >>separate kind of process too. Get to the root cause. >>Yeah, assigned is always hard to say. Never. But inherently s neural networks are very complicated. Saito set of weights, right? It's basically usually a supervised training model, and we're feeding a bunch of data and trying to train it to detect a certain features, sir, an output. But that is where they're powerful, right? And that's why they basically doing such good, Because they are mimicking the brain, right? That neural network is a very complex thing. Can't like your brain, right? We really don't understand how your brain works right now when you have a problem, it's really trialling there. We try to figure out >>right going right. So I want to stay with you, bought for a minute. So what about when you change what you're optimizing? Four? So you just said you're optimizing for throughput of the network. You're looking for problems. Now, let's just say it's, uh, into the end of the quarter. Some other reason we're not. You're changing your changing what you're optimizing for, Can you? You have to write separate algorithm. Can you have dynamic movement inside that algorithm? How do you approach a problem? Because you're not always optimizing for the same things, depending on the market conditions. >>Yeah, I mean, I think a good example, you know, again, with Marvis is really with what we call reinforcement. Learning right in reinforcement. Learning is a model we use for, like, radio resource management. And there were really trying to optimize for the user experience in trying to balance the reward, the models trying to reward whether or not we have a good balance between the network and the user. Right, that reward could be changed. So that algorithm is basically reinforcement. You can finally change hell that Algren works by changing the reward you give the algorithm >>great. Um, Rajan back to you. A couple of huge things that have come into into play in the marketplace and get your take one is open source, you know, kind of. What's the impact of open source generally on the availability, desire and more applications and then to cloud and soon to be edge? You know, the current next stop. How do you guys incorporate that opportunity? How does it change what you can do? How does it open up the lens of >>a I Yeah, I think open source is really important because I think one thing that's interesting about a I is that it's a very nascent field and the more that there's open source, the more that people could build on top of each other and be able to utilize what what others others have done. And it's similar to how we've seen open source impact operating systems, the Internet, things like things like that with Cloud. I think one of the big things with cloud is now you have the processing power and the ability to access lots of data to be able to t create these thes networks. And so the capacity for data and the capacity for compute is much higher. Edge is gonna be a very important thing, especially going into next few years. You're seeing Maur things incorporated on the edge and one exciting development is around Federated learning where you can train on the edge and then combine some of those aspects into a cloud side model. And so that I think will actually make EJ even more powerful. >>But it's got to be so dynamic, right? Because the fundamental problem used to always be the move, the computer, the data or the date of the computer. Well, now you've got on these edge devices. You've got Tanya data right sensor data all kinds of machining data. You've got potentially nasty hostile conditions. You're not in a nice, pristine data center where the environmental conditions are in the connective ity issues. So when you think about that problem yet, there's still great information. There you got latent issues. Some I might have to be processed close to home. How do you incorporate that age old thing of the speed of light to still break the break up? The problem to give you a step up? Well, we see a lot >>of customers do is they do a lot of training on the cloud, but then inference on the on the edge. And so that way they're able to create the model that they want. But then they get fast response time by moving the model to the edge. The other thing is that, like you said, lots of data is coming into the edge. So one way to do it is to efficiently move that to the cloud. But the other way to do is filter. And to try to figure out what data you want to send to the clouds that you can create the next days. >>Shawna, back to you let's shift gears into ethics. This pesky, pesky issue that's not not a technological issue at all, but right. We see it often, especially in tech. Just cause you should just cause you can doesn't mean that you should. Um so and this is not a stem issue, right? There's a lot of different things that happened. So how should people be thinking about ethics? How should they incorporate ethics? Um, how should they make sure that they've got kind of a, you know, a standard kind of overlooking kind of what they're doing? The decisions are being made. >>Yeah, One of the more approachable ways that I have found to explain this is with behavioral science methodologies. So ethics is a massive field of study, and not everyone shares the same ethics. However, if you try and bring it closer to behavior change because every product that we're building is seeking to change of behavior. We need to ask questions like, What is the gap between the person's intention and the goal we have for them? Would they choose that goal for themselves or not? If they wouldn't, then you have an ethical problem, right? And this this can be true of the intention, goal gap or the intention action up. We can see when we regulated for cigarettes. What? We can't just make it look cool without telling them what the cigarettes are doing to them, right so we can apply the same principles moving forward. And they're pretty accessible without having to know. Oh, this philosopher and that philosopher in this ethicist said these things, it can be pretty human. The challenge with this is that most people building these algorithms are not. They're not trained in this way of thinking, and especially when you're working at a start up right, you don't have access to massive teams of people to guide you down this journey, so you need to build it in from the beginning, and you need to be open and based upon principles. Um, and it's going to touch every component. It should touch your data, your algorithm, the people that you're using to build the product. If you only have white men building the product, you have a problem you need to pull in other people. Otherwise, there are just blind spots that you are not going to think of in order to still that product for a wider audience, but it seems like >>they were on such a razor sharp edge. Right with Coca Cola wants you to buy Coca Cola and they show ads for Coca Cola, and they appeal to your let's all sing together on the hillside and be one right. But it feels like with a I that that is now you can cheat. Right now you can use behavioral biases that are hardwired into my brain is a biological creature against me. And so where is where is the fine line between just trying to get you to buy Coke? Which somewhat argues Probably Justus Bad is Jule cause you get diabetes and all these other issues, but that's acceptable. But cigarettes are not. And now we're seeing this stuff on Facebook with, you know, they're coming out. So >>we know that this is that and Coke isn't just selling Coke anymore. They're also selling vitamin water so they're they're play isn't to have a single product that you can purchase, but it is to have a suite of products that if you weren't that coke, you can buy it. But if you want that vitamin water you can have that >>shouldn't get vitamin water and a smile that only comes with the coat. Five. You want to jump in? >>I think we're going to see ethics really break into two different discussions, right? I mean, ethics is already, like human behavior that you're already doing right, doing bad behavior, like discriminatory hiring, training, that behavior. And today I is gonna be wrong. It's wrong in the human world is gonna be wrong in the eye world. I think the other component to this ethics discussion is really round privacy and data. It's like that mirror example, right? No. Who gave that mirror the right to basically tell me I'm old and actually do something with that data right now. Is that my data? Or is that the mirrors data that basically recognized me and basically did something with it? Right. You know, that's the Facebook. For example. When I get the email, tell me, look at that picture and someone's take me in the pictures Like, where was that? Where did that come from? Right? >>What? I'm curious about to fall upon that as social norms change. We talked about it a little bit for we turn the cameras on, right? It used to be okay. Toe have no black people drinking out of a fountain or coming in the side door of a restaurant. Not that long ago, right in the 60. So if someone had built an algorithm, then that would have incorporated probably that social norm. But social norms change. So how should we, you know, kind of try to stay ahead of that or at least go back reflectively after the fact and say kind of back to the black box, That's no longer acceptable. We need to tweak this. I >>would have said in that example, that was wrong. 50 years ago. >>Okay, it was wrong. But if you ask somebody in Alabama, you know, at the University of Alabama, Matt Department who have been born Red born, bred in that culture as well, they probably would have not necessarily agreed. But so generally, though, again, assuming things change, how should we make sure to go back and make sure that we're not again carrying four things that are no longer the right thing to do? >>Well, I think I mean, as I said, I think you know what? What we know is wrong, you know is gonna be wrong in the eye world. I think the more subtle thing is when we start relying on these Aye. Aye. To make decisions like no shit in my car, hit the pedestrian or save my life. You know, those are tough decisions to let a machine take off or your balls decision. Right when we start letting the machines Or is it okay for Marvis to give this D I ps preference over other people, right? You know, those type of decisions are kind of the ethical decision, you know, whether right or wrong, the human world, I think the same thing will apply in the eye world. I do think it will start to see more regulation. Just like we see regulation happen in our hiring. No, that regulation is going to be applied into our A I >>right solutions. We're gonna come back to regulation a minute. But, Roger, I want to follow up with you in your earlier session. You you made an interesting comment. You said, you know, 10% is clearly, you know, good. 10% is clearly bad, but it's a soft, squishy middle at 80% that aren't necessarily super clear, good or bad. So how should people, you know, kind of make judgments in this this big gray area in the middle? >>Yeah, and I think that is the toughest part. And so the approach that we've taken is to set us set out a set of AI ai principles on DDE. What we did is actually wrote down seven things that we will that we think I should do and four things that we should not do that we will not do. And we now have to actually look at everything that we're doing against those Aye aye principles. And so part of that is coming up with that governance process because ultimately it boils down to doing this over and over, seeing lots of cases and figuring out what what you should do and so that governments process is something we're doing. But I think it's something that every company is going to need to do. >>Sharon, I want to come back to you, so we'll shift gears to talk a little bit about about law. We've all seen Zuckerberg, unfortunately for him has been, you know, stuck in these congressional hearings over and over and over again. A little bit of a deer in a headlight. You made an interesting comment on your prior show that he's almost like he's asking for regulation. You know, he stumbled into some really big Harry nasty areas that were never necessarily intended when they launched Facebook out of his dorm room many, many moons ago. So what is the role of the law? Because the other thing that we've seen, unfortunately, a lot of those hearings is a lot of our elected officials are way, way, way behind there, still printing their e mails, right? So what is the role of the law? How should we think about it? What shall we What should we invite from fromthe law to help sort some of this stuff out? >>I think as an individual, right, I would like for each company not to make up their own set of principles. I would like to have a shared set of principles that were following the challenge. Right, is that with between governments, that's impossible. China is never gonna come up with same regulations that we will. They have a different privacy standards than we D'oh. Um, but we are seeing locally like the state of Washington has created a future of work task force. And they're coming into the private sector and asking companies like text you and like Google and Microsoft to actually advise them on what should we be regulating? We don't know. We're not the technologists, but they know how to regulate. And they know how to move policies through the government. What will find us if we don't advise regulators on what we should be regulating? They're going to regulate it in some way, just like they regulated the tobacco industry. Just like they regulated. Sort of, um, monopolies that tech is big enough. Now there is enough money in it now that it will be regularly. So we need to start advising them on what we should regulate because just like Mark, he said. While everyone else was doing it, my competitors were doing it. So if you >>don't want me to do it, make us all stop. What >>can I do? A negative bell and that would not for you, but for Mark's responsibly. That's crazy. So So bob old man at the mall. It's actually a little bit more codified right, There's GDP are which came through May of last year and now the newness to California Extra Gatorade, California Consumer Protection Act, which goes into effect January 1. And you know it's interesting is that the hardest part of the implementation of that I think I haven't implemented it is the right to be for gotten because, as we all know, computers, air, really good recording information and cloud. It's recorded everywhere. There's no there there. So when these types of regulations, how does that impact? Aye, aye, because if I've got an algorithm built on a data set in in person, you know, item number 472 decides they want to be forgotten How that too I deal with that. >>Well, I mean, I think with Facebook, I can see that as I think. I suspect Mark knows what's right and wrong. He's just kicking ball down tires like >>I want you guys. >>It's your problem, you know. Please tell me what to do. I see a ice kind of like any other new technology, you know, it could be abused and used in the wrong waste. I think legally we have a constitution that protects our rights. And I think we're going to see the lawyers treat a I just like any other constitutional things and people who are building products using a I just like me build medical products or other products and actually harmful people. You're gonna have to make sure that you're a I product does not harm people. You're a product does not include no promote discriminatory results. So I >>think we're going >>to see our constitutional thing is going applied A I just like we've seen other technologies work. >>And it's gonna create jobs because of that, right? Because >>it will be a whole new set of lawyers >>the holdings of lawyers and testers, even because otherwise of an individual company is saying. But we tested. It >>works. Trust us. Like, how are you gonna get the independent third party verification of that? So we're gonna start to see a whole terrorist proliferation of that type of fields that never had to exist before. >>Yeah, one of my favorite doctor room. A child. Grief from a center. If you don't follow her on Twitter Follower. She's fantastic and a great lady. So I want to stick with you for a minute, Bob, because the next topic is autonomous. And Rahman up on the keynote this morning, talked about missed and and really, this kind of shifting workload of fixing things into an autonomous set up where the system now is, is finding problems, diagnosing problems, fixing problems up to, I think, he said, even generating return authorizations for broken gear, which is amazing. But autonomy opens up all kinds of crazy, scary things. Robert Gates, we interviewed said, You know, the only guns that are that are autonomous in the entire U. S. Military are the ones on the border of North Korea. Every single other one has to run through a person when you think about autonomy and when you can actually grant this this a I the autonomy of the agency toe act. What are some of the things to think about in the word of the things to keep from just doing something bad, really, really fast and efficiently? >>Yeah. I mean, I think that what we discussed, right? I mean, I think Pakal purposes we're far, you know, there is a tipping point. I think eventually we will get to the CP 30 Terminator day where we actually build something is on par with the human. But for the purposes right now, we're really looking at tools that we're going to help businesses, doctors, self driving cars and those tools are gonna be used by our customers to basically allow them to do more productive things with their time. You know, whether it's doctor that's using a tool to actually use a I to predict help bank better predictions. They're still gonna be a human involved, you know, And what Romney talked about this morning and networking is really allowing our I T customers focus more on their business problems where they don't have to spend their time finding bad hard were bad software and making better experiences for the people. They're actually trying to serve >>right, trying to get your take on on autonomy because because it's a different level of trust that we're giving to the machine when we actually let it do things based on its own. But >>there's there's a lot that goes into this decision of whether or not to allow autonomy. There's an example I read. There's a book that just came out. Oh, what's the title? You look like a thing. And I love you. It was a book named by an A I, um if you want to learn a lot about a I, um and you don't know much about it, Get it? It's really funny. Um, so in there there is in China. Ah, factory where the Aye Aye. Is optimizing um, output of cockroaches now they just They want more cockroaches now. Why do they want that? They want to grind them up and put them in a lotion. It's one of their secret ingredients now. It depends on what parameters you allow that I to change, right? If you decide Thio let the way I flood the container, and then the cockroaches get out through the vents and then they get to the kitchen to get food, and then they reproduce the parameters in which you let them be autonomous. Over is the challenge. So when we're working with very narrow Ai ai, when use hell the Aye. Aye. You can change these three things and you can't just change anything. Then it's a lot easier to make that autonomous decision. Um and then the last part of it is that you want to know what is the results of a negative outcome, right? There was the result of a positive outcome. And are those results something that we can take actually? >>Right, Right. Roger, don't give you the last word on the time. Because kind of the next order of step is where that machines actually write their own algorithms, right? They start to write their own code, so they kind of take this next order of thought and agency, if you will. How do you guys think about that? You guys are way out ahead in the space, you have huge data set. You got great technology. Got tensorflow. When will the machines start writing their own A their own out rhythms? Well, and actually >>it's already starting there that, you know, for example, we have we have a product called Google Cloud. Ottawa. Mel Village basically takes in a data set, and then we find the best model to be able to match that data set. And so things like that that that are there already, but it's still very nascent. There's a lot more than that that can happen. And I think ultimately with with how it's used I think part of it is you have to start. Always look at the downside of automation. And what is what is the downside of a bad decision, whether it's the wrong algorithm that you create or a bad decision in that model? And so if the downside is really big, that's where you need to start to apply Human in the loop. And so, for example, in medicine. Hey, I could do amazing things to detect diseases, but you would want a doctor in the loop to be able to actually diagnose. And so you need tohave have that place in many situations to make sure that it's being applied well. >>But is that just today? Or is that tomorrow? Because, you know, with with exponential growth and and as fast as these things are growing, will there be a day where you don't necessarily need maybe need the doctor to communicate the news? Maybe there's some second order impacts in terms of how you deal with the family and, you know, kind of pros and cons of treatment options that are more emotional than necessarily mechanical, because it seems like eventually that the doctor has a role. But it isn't necessarily in accurately diagnosing a problem. >>I think >>I think for some things, absolutely over time the algorithms will get better and better, and you can rely on them and trust them more and more. But again, I think you have to look at the downside consequence that if there's a bad decision, what happens and how is that compared to what happens today? And so that's really where, where that is. So, for example, self driving cars, we will get to the point where cars are driving by themselves. There will be accidents, but the accident rate is gonna be much lower than what's there with humans today, and so that will get there. But it will take time. >>And there was a day when will be illegal for you to drive. You have manslaughter, right? >>I I believe absolutely there will be in and and I don't think it's that far off. Actually, >>wait for the day when I have my car take me up to Northern California with me. Sleepy. I've only lived that long. >>That's right. And work while you're while you're sleeping, right? Well, I want to thank everybody Aton for being on this panel. This has been super fun and these air really big issues. So I want to give you the final word will just give everyone kind of a final say and I just want to throw out their Mars law. People talk about Moore's law all the time. But tomorrow's law, which Gardner stolen made into the hype cycle, you know, is that we tend to overestimate in the short term, which is why you get the hype cycle and we turn. Tend to underestimate, in the long term the impacts of technology. So I just want it is you look forward in the future won't put a year number on it, you know, kind of. How do you see this rolling out? What do you excited about? What are you scared about? What should we be thinking about? We'll start with you, Bob. >>Yeah, you know, for me and, you know, the day of the terminus Heathrow. I don't know if it's 100 years or 1000 years. That day is coming. We will eventually build something that's in part of the human. I think the mission about the book, you know, you look like a thing and I love >>you. >>Type of thing that was written by someone who tried to train a I to basically pick up lines. Right? Cheesy pickup lines. Yeah, I'm not for sure. I'm gonna trust a I to help me in my pickup lines yet. You know I love you. Look at your thing. I love you. I don't know if they work. >>Yeah, but who would? Who would have guessed online dating is is what it is if you had asked, you know, 15 years ago. But I >>think yes, I think overall, yes, we will see the Terminator Cp through It was probably not in our lifetime, but it is in the future somewhere. A. I is definitely gonna be on par with the Internet cell phone, radio. It's gonna be a technology that's gonna be accelerating if you look where technology's been over last. Is this amazing to watch how fast things have changed in our lifetime alone, right? Yeah, we're just on this curve of technology accelerations. This in the >>exponential curves China. >>Yeah, I think the thing I'm most excited about for a I right now is the addition of creativity to a lot of our jobs. So ah, lot of we build an augmented writing product. And what we do is we look at the words that have happened in the world and their outcomes. And we tell you what words have impacted people in the past. Now, with that information, when you augment humans in that way, they get to be more creative. They get to use language that have never been used before. To communicate an idea. You can do this with any field you can do with composition of music. You can if you can have access as an individual, thio the data of a bunch of cultures the way that we evolved can change. So I'm most excited about that. I think I'm most concerned currently about the products that we're building Thio Give a I to people that don't understand how to use it or how to make sure they're making an ethical decision. So it is extremely easy right now to go on the Internet to build a model on a data set. And I'm not a specialist in data, right? And so I have no idea if I'm adding bias in or not, um and so it's It's an interesting time because we're in that middle area. Um, and >>it's getting loud, all right, Roger will throw with you before we have to cut out, or we're not gonna be able to hear anything. So I actually start every presentation out with a picture of the Mosaic browser, because what's interesting is I think that's where >>a eyes today compared to kind of weather when the Internet was around 1994 >>were just starting to see how a I can actually impact the average person. As a result, there's a lot of hype, but what I'm actually finding is that 70% of the company's I talked to the first question is, Why should I be using this? And what benefit does it give me? Why 70% ask you why? Yeah, and and what's interesting with that is that I think people are still trying to figure out what is this stuff good for? But to your point about the long >>run, and we underestimate the longer I think that every company out there and every product will be fundamentally transformed by eye over the course of the next decade, and it's actually gonna have a bigger impact on the Internet itself. And so that's really what we have to look forward to. >>All right again. Thank you everybody for participating. There was a ton of fun. Hope you had fun. And I look at the score sheet here. We've got Bob coming in and the bronze at 15 points. Rajan, it's 17 in our gold medal winner for the silver Bell. Is Sharna at 20 points. Again. Thank you. Uh, thank you so much and look forward to our next conversation. Thank Jeffrey Ake signing out from Caesar's Juniper. Next word unpacking. I Thanks for watching.

Published Date : Nov 14 2019

SUMMARY :

We don't have to do it over the phone s so we're happy to have him. Thank you, Christy. So just warm everybody up and we'll start with you. Well, I think we all know the examples of the south driving car, you know? So this is kind I have a something for You know, you start getting some advertising's And that one is is probably the most interesting one to be right now. it's about the user experience that you can create as a result of a I. Raja, you know, I think a lot of conversation about A They always focus the general purpose general purpose, And I think it really boils down to getting to the right use cases where a I right? And how do you kind of think about those? the example of beach, you type sheep into your phone and you might get just a field, the Miss Technology and really, you know, it's interesting combination of data sets A I E. I think we all know data sets with one The tipping points for a I to become more real right along with cloud in a just versus when you first started, you're not really sure how it's gonna shake out in the algorithm. models, basically, to be able to predict if there's gonna be an anomaly or network, you know? What do you do if you don't have a big data set? I mean, so you need to have the right data set. You have to be able thio over sample things that you need, Or do you have some May I objectives that you want is that you can actually have starting points. I couldn't go get one in the marketplace and apply to my data. the end, you need to test and generate based on your based on your data sets the business person and the hard core data science to bring together the knowledge of Here's what's making Um, the algorithms that you use I think maybe I had, You know, if you look at Marvis kind of what we're building for the networking community Ah, that you can't go in and unpack it, that you have to have the Get to the root cause. Yeah, assigned is always hard to say. So what about when you change what you're optimizing? You can finally change hell that Algren works by changing the reward you give the algorithm How does it change what you can do? on the edge and one exciting development is around Federated learning where you can train The problem to give you a step up? And to try to figure out what data you want to send to Shawna, back to you let's shift gears into ethics. so you need to build it in from the beginning, and you need to be open and based upon principles. But it feels like with a I that that is now you can cheat. but it is to have a suite of products that if you weren't that coke, you can buy it. You want to jump in? No. Who gave that mirror the right to basically tell me I'm old and actually do something with that data right now. So how should we, you know, kind of try to stay ahead of that or at least go back reflectively after the fact would have said in that example, that was wrong. But if you ask somebody in Alabama, What we know is wrong, you know is gonna be wrong So how should people, you know, kind of make judgments in this this big gray and over, seeing lots of cases and figuring out what what you should do and We've all seen Zuckerberg, unfortunately for him has been, you know, stuck in these congressional hearings We're not the technologists, but they know how to regulate. don't want me to do it, make us all stop. I haven't implemented it is the right to be for gotten because, as we all know, computers, Well, I mean, I think with Facebook, I can see that as I think. you know, it could be abused and used in the wrong waste. to see our constitutional thing is going applied A I just like we've seen other technologies the holdings of lawyers and testers, even because otherwise of an individual company is Like, how are you gonna get the independent third party verification of that? Every single other one has to run through a person when you think about autonomy and They're still gonna be a human involved, you know, giving to the machine when we actually let it do things based on its own. It depends on what parameters you allow that I to change, right? How do you guys think about that? And what is what is the downside of a bad decision, whether it's the wrong algorithm that you create as fast as these things are growing, will there be a day where you don't necessarily need maybe need the doctor But again, I think you have to look at the downside And there was a day when will be illegal for you to drive. I I believe absolutely there will be in and and I don't think it's that far off. I've only lived that long. look forward in the future won't put a year number on it, you know, kind of. I think the mission about the book, you know, you look like a thing and I love I don't know if they work. you know, 15 years ago. It's gonna be a technology that's gonna be accelerating if you look where technology's And we tell you what words have impacted people in the past. it's getting loud, all right, Roger will throw with you before we have to cut out, Why 70% ask you why? have a bigger impact on the Internet itself. And I look at the score sheet here.

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Jesse Hanger, Accenture | Coupa Insp!re19


 

>> Narrator: From the Cosmopolitan Hotel in Las Vegas Nevada, it's the CUBE. Covering Coupa Inspire 2019. Brought to you by Coupa. >> Welcome to the CUBE from Coupa Inspire'19 at the Cosmopolitan in Las Vegas. It's a pretty swanky place here. Very excited to welcome to the CUBE for the first time from Accenture, Jesse Hanger, Director of Capability Network Sourcing and Procurement. Jesse, welcome. >> Thank you, glad to be here. >> Oh, our pleasure to have you. So here we are day two of the main stuff going on here. All talking about Business Spend Management, BSM, this new category that Coupa is defining. We had the chance yesterday to speak with Rob Bernshteyn their CEO. Ravi Thakur was there. And it's one of the cool things that Coupa is doing is it's now, it's procurement, it's invoicing, it's expenses, it's payments, but it's also helping to redefine procurement and finance. >> And it is. I mean it's a huge shift when we think about, in industry, the same shift that Salesforce had years ago when it comes to CRM. When Coupa started talking about this, maybe two years ago, I had a little bit of a head-scratcher, I saw some of their slides and I thought to myself, that's a bit much to say you're going to change this, but the funny thing was, no one else had come up with a real definition of this. We finally had procurement technology that was at a level that you could capture this type of data and information, and it could go broader than just my MRP system and bills of materials, and to everything. Into your traveling expenses, into how you're sourcing things, into your basic inventory, and so it took me awhile to come around, but it was a slow journey for me, but clearly Business Spend Management is the future, what we look at with procurement. Because for a CPO, it can't just be about saving money or reducing costs, you have to start driving business and you can't drive business if all you do is save money. >> Exactly, and that's been something that I've learned a lot from in the last a week or so, alone, is how influential a CPO can be. This person can be, not just the money saver, it's shareholder value. >> Jesse: Right, bottom line growth of the business. >> Yes, and one of the things that I really appreciate is Coupa's done a great job the last two days of sharing the voice of the customer. Because I said to you, before we went live, I said, I don't as a marketer, I'm a little bias, but I don't think there's anything that's more brand validating than the voice of a successful customer that actually shows measurable business outcomes and they showed that this morning. That transcends any industry whether you're manufacturing or a retailer. >> Yep, and so when you do think about it from their customer's perspective, from our client's perspective at Accenture, this is not easy. Changing the way you do things and changing your overall procurement operating model it's not a easy stuff. There's a reason why there're so many big companies like Accenture that do this kind of work. Because it's hard and it's needed. We come in with a different perspective. Having a platform like Coupa to really initiate that transformation, to be the to be the lever that moves the company from where they were to where they want to be and where they need to be to be competitive in the market, it makes our job so much easier across the broader supply chain practice to really, not just make the change, but you know we use a big consulting word, to instantiate it, so that it stays. We don't make it better this year, we make it better moving forward. >> It's an evolution. >> Jesse: It is. >> But that requires the right mindsets to go from a tactical role, of managing budgets and things, to being strategic, being able to identify fraud detection, for example. >> Well and again, when they talk about their suite synergy and the fact that all of these components of the platform, they're not separate modules, they hate when we say modules, so it's the T&E module. All of these components because they are all natively integrated and the data structure is the same on the back end, things like the fraud detection become easy. for Coupa, not in other platforms. Again, the more things you are doing with Coupa, the more data you have and the more you can get the benefit from the broader ecosystem, from the over 1 trillion dollars in spend that's gone through, that's fully classified, coded, detailed, now all of that spend helps that fraud engine do a better job. >> The community that you mentioned they were saying, I think Rob Bernshteyn CEO Coupa said yesterday that since 2016, around the time they went public, it's been a 5X increase in the amount of spend being managed through the Coupa platform. Accenture has over 50 deployments of Coupa in 72 countries, you guys are also managing over 100 billion of that, but this community that they described yesterday, so eloquently, is very collaborative, allowing not just customers to leverage from peer's best practices, but suppliers, as well. Talk to us about some of the things, like the wave that they're riding now, in terms of this community intelligence, and how is it going to help Accenture really be able to help more companies get that visibility and that control of all their spend? >> So as an example, at Accenture when you look at the analyst reports, we do very well when it comes to our procurement practice and the spend that we're helping companies manage outside of a platform. So we've got I think the latest number I saw was like 1.8 trillion dollars that we have helped companies source in the last handful of years. >> Wow. So that is something that gives us a huge competitive advantage. The same thing is true of Coupa and you said, how they're riding this wave, honestly, I don't think they're riding the wave yet, I think the wave is still building and they're about to start riding it, I think that what we're going to see over the next one to four years is going to be a fairly significant shift in how that data is going to drive very discrete and concrete value to all the members of the community. >> Wow, that is exciting. One of the things that we talk about in terms of changes to the CPO's role and CFO are these ways of disruption. One of them is consumerization. And you know I think Raja talked about that this morning, it was talked about a number of times yesterday, we spoke about it on the program, we're consumers all the time. Whether we're getting up in the morning at a conference and going to buy a coffee at Starbucks, or something that we want to order from a vendor like an Amazon, we have this expectation that we can get it, or if you want to buy a car, we have all of this data that we've never had before, so empowered, but then we go to our work lives, and if we're in whatever role we're in, maybe I'm in marketing and I need to do a trip, so I've got to go and do it, travel expense, we want the same ease of consumerization. Your thoughts on Coupa Pay, the expansion of Coupa with open buying the AWS Marketplace, on bringing that consumerization in, do you think like, (hand clapping) yes, that's exactly what we need? >> The first place of bringing in the consumerization was really how Coupa was engineered, years ago. When we go back to before they had released numbers and it was fall of 2007, they had numbers like that, Coupa really did give you an experience that was like Amazon. It was, we used to say, we're going to bring your shopping experience from Sunday afternoon to your desk Monday morning. And as that happened, now you start to see a different piece and that is a greater uptake in terms of the usage of procurement platforms. So instead of people, it's easier to pick up the phone and call Bill over at my supplier and say I need a case of whatever, it's actually easier to do it in the platform, and I can still give Bill a call and go have a beer with him if I want to maintain the relationship, but I don't have to make every one of my transactions start with a phone call that necessitates three additional phone calls later on to check on the status. Instead, I can do it in the platform very quickly. When you expand that out to what now Coupa Pay is going to offer, especially when we look at our clients that have challenges with multiple financial systems, multiple banks that are processing their payments, as you shift it away from that multiple outlet situation and you can move it large, if not all of that, into Coupa Pay, you're streamlining things for dozens if not scores of people in your company and making it better for them. >> Some of the stats I saw on the press release about the amount of payment processes that are still manual, and still 40% of it by paper check? >> I've got one client that writes 40,000 paper checks a year. >> How receptive are they to digital transformation? >> They almost think it's too good to be true. When you when you talk to clients like that, Fortune 500 companies, and when we talk to clients like that and you tell them, what you heard from Coupa is true, they're not just selling you, or trying to sell you something, they're telling you how it really works for clients and we've seen it. I look at the last dozen or so clients I've worked with, last year and a half I was doing some analysis, 51 billion dollars, 50.8 billion dollars in revenues is the average for those clients. So big companies. >> Big, yes. Really big companies. And as we look at those, you'd be surprised at how many of them have challenges with a lot of manual processes, still. They're the top of their field but they still have those challenges. So bringing this to them as they are deploying Coupa and seeing what they can realize in terms of efficiencies, it actually makes my job really fun because everybody's going to be happy. >> That is a win-win. One of the things Rob said yesterday, I know a little bit about Rob, and some of his proudest moments are hearing clients articulate success and he goes, one of my favorite things that's going into, whether it's a 50 billion dollar a year company or not, where there's someone maybe in the C-suite that just is skeptical, and he goes, and that just takes one champion who sees this vision, to convert that person to, oh my gosh, we can have this crystal ball of visibility of everything, and really leverage that to drive digital transformation so that the business is faster to identify new products, new revenues, convert customers faster, increase customer lifetime value and, and, and, the impact there is exponential. >> Well and that's one of the reasons why I think our partnership with Coupa is so rich, is because Accenture is more a technology company. We're not just focused on accounting, we're not just focused on finance, we have a lot of technology resources. We usually have a lot of connection into the CIO and the IT suite of leadership. They're the ones that are typically the most skeptical. They've been through dozens of roll outs of different things and they've seen them go anywhere from 0% to 50% effective. So because we've got the relationships there and we can have these conversations with the CIO, and say, this is different. This is going to be a very different kind of program for you and we're coming in and telling you that we can work this together as your partner and be successful, and again, you get six months into it and the lights fully on at that point and they're on board. In fact next year we're looking forward to bringing one or two CIOs on stage with us at Inspire'20 to talk about it from an IT perspective. >> Awesome, well I look forward to hearing that. Jesse, thank you so much for joining me on the Cube this afternoon. Exciting stuff. Control, visibility, who doesn't want that? >> Exactly, it's good times. >> Excellent, thanks Jesse, appreciate it. >> Thank you, appreciate being here. >> For Jesse Hanger, I'm Lisa Martin. You're watching the Cube from Coupa Inspire'19. Thanks for watching. (upbeat music)

Published Date : Jun 26 2019

SUMMARY :

Brought to you by Coupa. for the first time from Accenture, Jesse Hanger, And it's one of the cool things that Coupa is doing and bills of materials, and to everything. in the last a week or so, alone, Yes, and one of the things that I really appreciate Yep, and so when you do think about it But that requires the right mindsets and the more you can get the benefit and how is it going to help Accenture and the spend that we're helping companies manage over the next one to four years One of the things that we talk about and that is a greater uptake that writes 40,000 paper checks a year. and you tell them, So bringing this to them as they are deploying Coupa so that the business is faster to identify new products, Well and that's one of the reasons for joining me on the Cube this afternoon. Thanks for watching.

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Derek Kerton, Autotech Council | Autotech Council - Innovation in Motion


 

hey welcome back everybody Jeff Rick here with the cube we're at the mill pedis at an interesting event is called the auto tech council innovation in motion mapping and navigation event so a lot of talk about autonomous vehicles so it's a lot of elements to autonomous vehicles this is just one small piece of it it's about mapping and navigation and we're excited to have with us our first guest again and give us a background of this whole situation just Derick Curtin and he's the founder and chairman of the auto tech council so first up there welcome thank you very much good to be here absolutely so for the folks that aren't familiar what is the auto tech council autofit council is a sort of a club based in Silicon Valley where we have gathered together some of the industry's largest OMS om is mean car makers you know of like Rio de Gono from France and a variety of other ones they have offices here in Silicon Valley right and their job is to find innovation you find that Silicon Valley spark and take it back and get it into cars eventually and so what we are able to do is gather them up put them in a club and route a whole bunch of Silicon Valley startups and startups from other places to in front of them in a sort of parade and say these are some of the interesting technologies of the month so did they reach out for you did you see an opportunity because obviously they've all got the the Innovation Centers here we were at the Ford launch of their innovation center you see that the tagline is all around is there too now Palo Alto and up and down the peninsula so you know they're all here so was this something that they really needed an assist with that something opportunity saw or was it did it come from more the technology side to say we needed I have a new one to go talk to Raja Ford's well it's certainly true that they came on their own so they spotted Silicon Valley said this is now relevant to us where historically we were able to do our own R&D build our stuff in Detroit or in Japan or whatever the cases all of a sudden these Silicon Valley technologies are increasingly relevant to us and in fact disruptive to us we better get our finger on that pulse and they came here of their own at the time we were already running something called the telecom Council Silicon Valley where we're doing a similar thing for phone companies here so we had a structure in place that we needed to translate that into beyond modem industry and meet all those guys and say listen we can help you we're going to be a great tool in your toolkit to work the valley ok and then specifically what types of activities do you do with them to execute division you know it's interesting when we launched this about five years ago we're thinking well we have telecommunication back when we don't have the automotive skills but we have the organizational skills what turned out to be the cases they're not coming here the car bakers and the tier 1 vendors that sell to them they're not coming here to study break pad material science and things like that they're coming to Silicon Valley to find the same stuff the phone company two years ago it's lookin at least of you know how does Facebook work in a car out of all these sensors that we have in phones relate to automotive industry accelerometers are now much cheaper because of reaching economies of scale and phones so how do we use those more effectively hey GPS is you know reach scale economies how do we put more GPS in cars how do we provide mapping solutions all these things you'll set you'll see and sound very familiar right from that smartphone industry in fact the thing that disrupts them the thing that they're here for that brought them here and out of out of defensive need to be here is the fact that the smartphone itself was that disruptive factor inside the car right right so you have events like today so gives little story what's it today a today's event is called the mapping and navigation event what are people who are not here what's what's happening well so every now and then we pick a theme that's really relevant or interesting so today is mapping and navigation actually specifically today is high definition mapping and sensors and so there's been a battle in the automotive industry for the autonomous driving space hey what will control an autonomous car will it be using a map that's stored in memory onboard the car it knows what the world looked like when they mapped it six months ago say and it follows along a pre-programmed route inside of that world a 3d model world or is it a car more likely with the Tesla's current they're doing where it has a range of sensors on it and the sensors don't know anything about the world around the corner they only know what they're sensing right around them and they drive within that environment so there's two competing ways of modeling a 3d world around autonomous car and I think you know there was a battle looking backwards which one is going to win and I think the industry has come to terms with the fact the answer is both more everyday and so today we're talking about both and how to infuse those two and make better self-driving vehicles so for the outsider looking in right I'm sure they get wait the mapping wars are over you know Google Maps what else is there right but then I see we've got TomTom and meet a bunch of names that we've seen you know kind of pre pre Google Maps and you know shame on me I said the same thing when Google came out with a cert I'm like certain doors are over who's good with so so do well so Eddie's interesting there's a lot of different angles to this beyond just the Google map that you get on your phone well anything MapQuest what do you hear you moved on from MapQuest you print it out you're good together right well that's my little friends okay yeah some people written about some we're burning through paper listen the the upshot is that you've MapQuest is an interesting starting board probably first it's these maps folding maps we have in our car there's a best thing we have then we move to MapQuest era and $5,000 Sat Navs in some cars and then you might jump forward to where Google had kind of dominate they offered it for free kicked you know that was the disruptive factor one of the things where people use their smartphones in the car instead of paying $5,000 like car sat-nav and that was a long-running error that we have in very recent memory but the fact of the matter is when you talk about self-driving cars or autonomous vehicles now you need a much higher level of detail than TURN RIGHT in 400 feet right that's that's great for a human who's driving the car but for a computer driving the car you need to know turn right in 400.000 five feet and adjust one quarter inch to the left please so the level of detail requires much higher and so companies like TomTom like a variety of them that are making more high-level Maps Nokia's form a company called here is doing a good job and now a class of car makers lots of startups and there's crowdsource mapping out there as well and the idea is how do we get incredibly granular high detail maps that we can push into a car so that it has that reference of a 3d world that is extremely accurate and then the next problem is oh how do we keep those things up to date because when we Matt when when a car from this a Nokia here here's the company house drives down the street does a very high-level resolution map with all the equipment you see on some of these cars except for there was a construction zone when they mapped it and the construction zone is now gone right update these things so these are very important questions if you want to have to get the answers correct and in the car stored well for that credit self drive and once again we get back to something to mention just two minutes ago the answer is sensor fusion it's a map as a mix of high-level maps you've got in the car and what the sensors are telling you in real time so the sensors are now being used for what's going on right now and the maps are give me a high level of detail from six months ago and when this road was driven it's interesting back of the day right when we had to have the CD for your own board mapping Houston we had to keep that thing updated and you could actually get to the edge of the sea didn't work we were in the islands are they covering here too which feeds into this is kind of of the optical sensors because there's kind of the light our school of thought and then there's the the biopic cameras tripod and again the answers probably both yeah well good that's a you know that's there's all these beat little battles shaping up in the industry and that's one of them for sure which is lidar versus everything else lidar is the gold standard for building I keep saying a 3d model and that's basically you know a computer sees the world differently than your eye your eye look out a window we build a 3d model of what we're looking at how does computer do it so there's a variety of ways you can do it one is using lidar sensors which spin around biggest company in this space is called Bella died and been doing it for years for defense and aviation it's been around pointing laser lasers and waiting for the signal to come back so you basically use a reflected signal back and the time difference it takes to be billows back it builds a 3d model of the objects around that particular sensor that is the gold standard for precision the problem is it's also bloody expensive so the karmak is said that's really nice but I can't put for $8,000 sensors on each corner of a car and get it to market at some price that a consumers willing to pay so until every car has one and then you get the mobile phone aside yeah but economies of scale at eight thousand dollars we're looking at going that's a little stuff so there's a lot of startups now saying this we've got a new version of lighter that's solid-state it's not a spinning thing point it's actually a silicon chip with our MEMS and stuff on it they're doing this without the moving parts and we can drop the price down to two hundred dollars maybe a hundred dollars in the future and scale that starts being interesting that's four hundred dollars if you put it off all four corners of the car but there's also also other people saying listen cameras are cheap and readily available so you look at a company like Nvidia that has very fast GPUs saying listen our GPUs are able to suck in data from up to 12 cameras at a time and with those different stereoscopic views with different angle views we can build a 3d model from cheap cameras so there's competing ideas on how you build a model of the world and then those come to like Bosh saying well we're strong in car and written radar and we can actually refine our radar more and more and get 3d models from radar it's not the good resolution that lidar has which is a laser sense right so there's all these different sensors and I think there the answer is not all of them because cost comes into play below so a car maker has to choose well we're going to use cameras and radar we're gonna use lidar and high heaven so they're going to pick from all these different things that are used to build a high-definition 3d model of the world around the car cost effective and successful and robust can handle a few of the sensors being covered by snow hopefully and still provide a good idea of the world around them and safety and so they're going to fuse these together and then let their their autonomous driving intelligence right on top of that 3d model and drive the car right so it's interesting you brought Nvidia in what's really fun I think about the autonomous vehicle until driving cars and the advances is it really plays off the kind of Moore's laws impact on the three tillers of its compute right massive compute power to take the data from these sensors massive amounts of data whether it's in the pre-programmed map whether you're pulling it off the sensors you're pulling off a GPS lord knows where by for Wi-Fi waypoints I'm sure they're pulling all kinds of stuff and then of course you know storage you got to put that stuff the networking you gotta worry about latency is it on the edge is it not on the edge so this is really an interesting combination of technologies all bring to bear on how successful your car navigates that exit ramp you're spot-on and that's you're absolutely right and that's one of the reasons I'm really bullish on self-driving cars a lot more than in the general industry analyst is and you mentioned Moore's law and in videos taking advantage of that with a GPUs so let's wrap other than you should be into kind of big answer Big Data and more and more data yes that's a huge factor in cars not only are cars going to take advantage of more and more data high definition maps are way more data than the MapQuest Maps we printed out so that's a massive amount of data the car needs to use but then in the flipside the cars producing massive amounts of data I just talked about a whole range of sensors I talked lidar radar cameras etc that's producing data and then there's all the telemetric data how's the car running how's the engine performing all those things car makers want that data so there's massive amounts of data needing to flow both ways now you can do that at night over Wi-Fi cheaply you can do it over an LTE and we're looking at 5g regular standards being able to enable more transfer of data between the cars and the cloud so that's pretty important cloud data and then cloud analytics on top of that ok now that we've got all this data from the car what do we do with it we know for example that Tesla uses that data sucked out of cars to do their fleet driving their fleet learning so instead of teaching the cars how to drive I'm a programmer saying if you see this that they're they're taking the information out of the cars and saying what are the situation these cars are seen how did our autonomous circuitry suggest the car responds and how did the user override or control the car in that point and then they can compare human driving with their algorithms and tweak their algorithms based on all that fleet to driving so it's a master advantage in sucking data out of cars massive advantage of pushing data to cars and you know we're here at Kingston SanDisk right now today so storage is interesting as well storage in the car increasingly important through these big amount of data right and fast storage as well High Definition maps are beefy beefy maps so what do you do do you have that in the cloud and constantly stream it down to the car what if you drive through a tunnel or you go out of cellular signal so it makes sense to have that map data at least for the region you're in stored locally on the car in easily retrievable flash memory that's dropping in price as well alright so loop in the last thing about that was a loaded question by the way and I love it and this is the thing I love this is why I'm bullish and more crazier than anybody else about the self-driving car space you mentioned Moore's law I find Moore's law exciting used to not be relevant to the automotive industry they used to build except we talked about I talked briefly about brake pad technology material science like what kind of asbestos do we use and how do we I would dissipate the heat more quickly that's science physics important Rd does not take advantage of Moore's law so cars been moving along with laws of thermodynamics getting more miles per gallon great stuff out of Detroit out of Tokyo out of Europe out of Munich but Moore's law not entirely relevant all of a sudden since very recently Moore's law starting to apply to cars so they've always had ECU computers but they're getting more compute put in the car Tesla has the Nvidia processors built into the car many cars having stronger central compute systems put in okay so all of a sudden now Moore's law is making cars more able to do things that they we need them to do we're talking about autonomous vehicles couldn't happen without a huge central processing inside of cars so Moore's law applying now what it did before so cars will move quicker than we thought next important point is that there's other there's other expansion laws in technology if people look up these are the cool things kryder's law so kryder's law is a law about storage in the rapidly expanding performance of storage so for $8.00 and how many megabytes or gigabytes of storage you get well guess what turns out that's also exponential and your question talked about isn't dat important sure it is that's why we could put so much into the cloud and so much locally into the car huge kryder's law next one is Metcalfe's law Metcalfe's law has a lot of networking in it states basically in this roughest form the value of network is valued to the square of the number of nodes in the network so if I connect my car great that's that's awesome but who does it talk to nobody you connect your car now we can have two cars you can talk together and provide some amount of element of car to car communications and some some safety elements tell me the network is now connected I have a smart city all of a sudden the value keeps shooting up and up and up so all of these things are exponential factors and there all of a sudden at play in the automotive industry so anybody who looks back in the past and says well you know the pace of innovation here has been pretty steep it's been like this I expect in the future we'll carry on and in ten years we'll have self-driving cars you can't look back at the slope of the curve right and think that's a slope going forward especially with these exponential laws at play so the slope ahead is distinctly steeper in this deeper and you left out my favorite law which is a Mars law which is you know we underestimate in the short term or overestimate in the short term and underestimate in the long term that's all about it's all about the slope so there we could go on for probably like an hour and I know I could but you got a kill you got to go into your event so thanks for taking min out of your busy day really enjoyed the conversation and look forward to our next one my pleasure thanks all right Jeff Rick here with the Q we're at the Western Digital headquarters in Milpitas at the Auto Tech Council innovation in motion mapping and navigation event thanks for watching

Published Date : Jun 15 2017

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