Image Title

Search Results for one win:

AnsibleFest 2022 theCUBE Report Summary


 

(soft music) >> Welcome back to Chicago guys and gals. Lisa Martin here with John Furrier. We have been covering Ansible Fest '22 for the last two days. This is our show wrap. We're going to leave you with some great insights into the things that we were able to dissect over the last two days. John, this has been an action packed two days. A lot of excitement, a lot of momentum. Good to be back in person. >> It's great to be back in person. It was the first time for you to do Ansible Fest. >> Yes. >> My first one was 2019 in person. That's the last time they had an event in person. So again, it's a very chill environment here, but it's content packed, great active loyal community and is growing. It's changing. Ansible now owned by Red Hat, and now Red Hat owned by IBM. Kind of see some game changing kind of movements here on the chess board, so to speak, in the industry. Ansible has always been a great product. It started in open source. It evolved configuration management configuring servers, networks. You know, really the nuts and bolts of IT. And became a fan favorite mainly because it was built by the fans and I think that never stopped. And I think you started to see an opportunity for Ansible to be not only just a, I won't say niche product or niche kind of use case to being the overall capabilities for large scale enterprise system architectures, system management. So it's very interesting. I mean I find it fascinating how, how it stays relevant and cool and continues to power through a massive shift >> A massive shift. They've done a great job though since the inception and through the acquisition of being still community first. You know, we talked a lot yesterday and today about helping organizations become automation first that Ansible has really stayed true to its roots in being community first, community driven and really that community flywheel was something that was very obvious the last couple of days. >> Yeah, I mean the community thing is is is their production system. I mean if you look at Red Hat, their open source, Ansible started open source, good that they're together. But what people may or may not know about Ansible is that they build their product from the community. So the community actually makes the suggestions. Ansible's just in listening modes. So when you have a system that's that efficient where you have direct working backwards from the customer like that, it's very efficient. Now, as a product manager you might want to worry about scope creep, but at the end of the day they do a good job of democratizing that process. So again, very strong product production system with open source, very relevant, solves the right problems. But this year the big story to me is the cultural shift of Ansible's relevance. And I think with multicloud on the horizon, operations is the new kind of developer kind of ground. DevOps has been around for a while. That's now shifted up to the developer themselves, the cloud native developer. But at cloud scale and hybrid computing, it's about the operations. It's about the data and the security. All of it's about the data. So to me there's a new ops configuration operating model that you're seeing people use, SRE and DevOps. That's the new culture, and the persona's changing. The operator of a large scale enterprise is going to be a lot different than it was past five, 10 years. So major cultural shift, and I think this community's going to step up to that position and fill that role. >> They seem to be having a lot of success meeting people where they are, meeting the demographics, delivering on how their community wants to work, how they want to collaborate. But yesterday you talked about operations. We talked a lot about Ops as code. Talk about what does that mean from your perspective, and what did you hear from our guests on the program with respect that being viable? >> Well great, that's a great point. Ops as code is the kind of their next layer of progression. Infrastructure is code. Configuration is code. Operations is code. To me that means running the company as software. So software influencing how operators, usually hardware in the past. Now it's infrastructure and software going to run things. So ops as code's, the next progression in how people are going to manage it. And I think most people think of that as enterprises get larger, when they hear words like SRE, which stands for Site Reliable Engineer. That came out of Google, and Google had all these servers that ran the search engine and at scale. And so one person managed boatload of servers and that was efficient. It was like a multiple 10x engineer, they used to call it. So that that was unique to Google but not everyone's Google. So it became language or parlance for someone who's running infrastructure but not everyone's that scale. So scale is a big issue. Ops as code is about scale and having that program ability as an operator. That's what Ops as code is. And that to me is a sign of where the scale meets the automation. Large scale is hard to do. Automating at large scale is even harder. So that's where Ansible fits in with their new automation platform. And you're seeing new things like signing code, making sure it's trusted and verified. So that's the software supply chain issue. So they're getting into the world where software, open source, automation are all happening at scale. So to me that's a huge concept of Ops as code. It's going to be very relevant, kind of the next gen positioning. >> Let's switch gears and talk about the partner ecosystem. We had Stefanie Chiras on yesterday, one of our longtime theCUBE alumni, talking about what they're doing with AWS in the marketplace. What was your take on that, and what's the "what's in it for me" for both Red Hat, Ansible and AWS? >> Yeah, so the big news on the automation platform was one. The other big news I thought was really, I won't say watered down, but it seems small but it's not. It's the Amazon Web Services relationship with Red Hat, now Ansible, where Ansible's now a product in AWS's marketplace. AWS marketplace is kind of hanging around. It's a catalog right now. It's not the most advanced technical system in the world, and it does over 2 billion plus revenue transactions. So even if it's just sitting there as a large marketplace, that's already doing massive amounts of disruption in the procurement, how software is bought. So we interviewed them in the past, and they're innovating on that. They're going to make that a real great platform. But the fact that Ansible's in the marketplace means that their sales are going to go up, number one. Number two, that means customers can consume it simply by clicking a button on their Amazon bill. That means they don't have to do anything. It's like getting a PO for free. It's like, hey, I'm going to buy Ansible, click, click, click. And then by the way, draw that down from their commitment to AWS. So that means Amazon's going into business with Ansible, and that is a huge revenue thing for Ansible, but also an operational efficiency thing that gives them more of an advantage over the competition. >> Talk what's in it for me as a customer. At Red Hat Summit a few months ago they announced similar partnership with Azure. Now we're talking about AWS. Customers are living in this hybrid cloud world, often by default. We're going to see that proliferate. What do you think this means for customers in terms of being able to- >> In the marketplace deal or Ansible? >> Yeah, the marketplace deal, but also what Red Hat and Ansible are doing with the hyperscalers to enable customers to live successfully in the hyper hybrid cloud world. >> It's just in the roots of the company. They give them the choice to consume the product on clouds that they like. So we're seeing a lot of clients that have standardized on AWS with their dev teams but also have productivity software on Azure. So you have the large enterprises, they sit on both clouds. So you know, Ansible, the customer wants to use Ansible anyway, they want that to happen. So it's a natural thing for them to work anywhere. I call that the Switzerland strategy. They'll play with all the clouds. Even though the clouds are fighting against each other, and they have to to differentiate, there's still going to be some common services. I think Ansible fits this shim layer between clouds but also a bolt on. Now that's a really a double win for them. They can bolt on to the cloud, Azure and bolt on to AWS and Google, and also be a shim layer technically in clouds as well. So there's two technical advantages to that strategy >> Can Ansible be a facilitator of hybrid cloud infrastructure for organizations, or a catalyst? >> I think it's going to be a gateway on ramp or gateway to multicloud or supercloud, as we call it, because Ansible's in that configuration layer. So you know, it's interesting to hear the IBM research story, which we're going to get to in a second around how they're doing the AI for Ansible with that wisdom project. But the idea of configuring stuff on the fly is really a concept that's needed for multicloud 'Cause programs don't want to have to configure anything. (he laughs) So standing up an application to run on Azure that's on AWS that spans both clouds, you're going to need to have that automation, and I think this is an opportunity whether they can get it or not, we'll see. I think Red Hat is probably angling on that hard, and I can see them kind of going there and some of the commentary kind of connects the dots for that. >> Let's dig into some of news that came out today. You just alluded to this. IBM research, we had on with Red Hat. Talk about what they call project wisdom, the value in that, what it also means for for Red Hat and IBM working together very synergistically. >> I mean, I think the project wisdom is an interesting dynamic because you got the confluence of the organic community of Ansible partnering with a research institution of IBM research. And I think that combination of practitioners and research groups is going to map itself out to academic and then you're going to see this kind of collaboration going forward. So I think it's a very nuanced story, but the impact to me is very clear that this is the new power brokers in the tech industry, because researchers have a lot of muscle in terms of deep research in the academic area, and the practitioners are the ones who are actually doing it. So when you bring those two forces together, that pretty much trumps any kind of standards bodies or anything else. So I think that's a huge signaling benefit to Ansible and Red Hat. I think that's an influence of Red Hat being bought by IBM. But the project itself is really amazing. It's taking AI and bringing it to Ansible, so you can do automated configurations. So for people who don't know how to code they can actually just automate stuff and know the process. I don't need to be a coder, I can just use the AI to do that. That's a low code, no code dynamic. That kind of helps with skill gaps, because I need to hire someone to do that. Today if I want to automate something, and I don't know how to code, I've got to get someone who codes. Here I can just do it and automate it. So if that continues to progress the way they want it to, that could literally be a game changer, 'cause now you have software configuring machines and that's pretty badass in my opinion. So that thought that was pretty cool. And again it's just an evolution of how AI is becoming more relevant. And I think it's directionally correct, and we'll see how it goes. >> And they also talked about we're nearing an inflection point in AI. You agree? >> Yeah I think AI is at an inflection point because it just falls short on the scale side. You see it with chatbots, NLP. You see what Amazon's doing. They're building these models. I think we're one step away from model scaling. I think the building the models is going to be one of these things where you're going to start to see marketplace and models and you start to composability of AI. That's where it's going to get very interesting to see which cloud is the best AI scale. So I think AI at scale's coming, and that's going to be something to watch really closely. >> Something exciting. Another thing that was big news today was the event driven Ansible. Talk about that, and that's something they've been working on in conjunction with the community for quite a while. They were very proud of that release and what that's going to enable organizations to do. >> Well I think that's more meat on the bone on the AI side 'cause in the big trend right now is MLAI ops. You hear that a lot. Oh, data ops or AI ops. What event driven automation does is allows you to take things that are going on in your world, infrastructure, triggers, alarms, notifications, data pipelining flows, things that go on in the plumbing of infrastructure. are being monitored and observed. So when events happen they trigger events. You want to stream something, you send a trigger and things happen. So these are called events. Events are wide ranging number of events. Kafka streaming for data. You got anything that produces data is an event. So harnessing that data into a pipeline is huge. So doing that at scale, that's where I think that product's a home run, and I think that's going to be a very valuable product, 'cause once you understand what the event triggers are, you then can automate that, and no humans involved. So that will save a lot of time for people in the the higher pay grade of MLAI ops automate some of that low level plumbing. They move their skill set to something more valuable or more impactful. >> And we talked about, speaking of impact, we talked about a lot of the business impact that organizations across industries are going to be able to likely achieve by using that. >> Yeah, I mean I think that you're going to see the community fill the gap on that. I mean the big part about all this is that their community builds the product and they have the the playbooks and they're shareable and they're reusable. So we produce content as a media company. They'd talk about content as is playbooks and documentation for people to use. So reuse and and reusing these playbooks is a huge part of it. So as they build up these catalogs and these playbooks and rules, it gets better by the community. So it's going to be interesting to see the adoption. That's going to be a big tell sign for what's going to happen. >> Yep, we get definitely are going to be watching that space. And the last thing, we got to talk to a couple of customers. We talked to Wells Fargo who says "We are a tech company that does banking," which I loved. We got to talk with Rockwell Automation. What are some of your takeaways from how the customers are leveraging Ansible and the technology to drive their businesses forward to meet demanding customers where they are? >> I think you're seeing the script flipping a little bit here, where the folks that used to use Ansible for configuration are flipping to be on the front edge of the innovation strategy where what process to automate is going to drive the profitability and scale. Cause you're talking about things like skill gaps, workflows. These are business constructs and people These are assets so they have economic value. So before it was just, IT serve the business, configure some servers, do some stuff. When you start getting into automation where you have expertise around what this means, that's economic value. So I think you're going to see the personas change significantly in this community where they're on the front lines, kind of like developers are. That's why ops as code is to me a developer kind of vibe. That's going to completely change how operations runs in IT. And I think that's going to be a very interesting cultural shift. And some will make it, some won't. That's going to be a big thing. Some people say, I'm going to retire. I'm old school storage server person, or no, I'm the new guard. I'm going to be the new team. I'm going be on the right side of history here. So they're clearly going down that right path in my opinion. >> What's your overall summary in the last minute of what this event delivered the last couple of days in terms of really talking about the transformation of enterprises and industries through automation? >> I think the big takeaway from me in listening and reading the tea leaves was the Ansible company and staff and the community together. It was really a call for arms. Like, hey, we've had it right from the beginning. We're on the right wave and the wave's getting bigger. So expand your scope, uplevel your skills. They're on the right side of history. And I think the message was engage more. Bring more people in because it is open source, and if they are on that track, you're going to see more of hey, we got it right, let's continue. So they got platform release. They got the key products coming out after years of work. So you know, they're doing their work. And the message I heard was, it's bigger than we thought. So I think that's interesting. We'll see what that means. We're going to unpack that after the event in series of showcases. But yeah, it was very positive, I thought. Very positive. >> Yeah, I think there was definitely some surprises in there for them. John, thank you so much. It's been a pleasure co-hosting with you the last couple of days, really uncovering what Ansible is doing, what they're enabling customers in every industry to achieve. >> Been fun. >> Yes. All right for my co-host, John Furrier, I'm Lisa Martin. You've been watching theCUBE's coverage of Ansible Fest 2022 live from Chicago. We hope you take good care and we'll see you soon.

Published Date : Oct 19 2022

SUMMARY :

for the last two days. It's great to be back in person. on the chess board, so to the last couple of days. of the day they do a good job on the program with So that's the software supply chain issue. in the marketplace. in the marketplace means We're going to see that proliferate. in the hyper hybrid cloud world. I call that the Switzerland strategy. of the commentary kind of the value in that, what it but the impact to me is very clear And they also talked and that's going to be something enable organizations to do. and I think that's going to about a lot of the business So it's going to be interesting and the technology to drive And I think that's going to be and staff and the community together. in every industry to achieve. and we'll see you soon.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

John FurrierPERSON

0.99+

JohnPERSON

0.99+

IBMORGANIZATION

0.99+

AWSORGANIZATION

0.99+

AnsibleORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

Stefanie ChirasPERSON

0.99+

AmazonORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

Amazon Web ServicesORGANIZATION

0.99+

ChicagoLOCATION

0.99+

2019DATE

0.99+

todayDATE

0.99+

two daysQUANTITY

0.99+

Rockwell AutomationORGANIZATION

0.99+

Wells FargoORGANIZATION

0.99+

yesterdayDATE

0.99+

one personQUANTITY

0.99+

TodayDATE

0.99+

John FurrierPERSON

0.99+

two forcesQUANTITY

0.99+

first timeQUANTITY

0.99+

Ansible Fest '22EVENT

0.98+

Red HatTITLE

0.98+

twoQUANTITY

0.98+

theCUBEORGANIZATION

0.98+

Ansible FestEVENT

0.97+

bothQUANTITY

0.97+

Red Hat SummitEVENT

0.96+

oneQUANTITY

0.95+

one stepQUANTITY

0.94+

first oneQUANTITY

0.93+

AzureORGANIZATION

0.93+

secondQUANTITY

0.93+

AzureTITLE

0.92+

SwitzerlandLOCATION

0.92+

Ansible Fest 2022EVENT

0.92+

DevOpsTITLE

0.92+

Red HatORGANIZATION

0.89+

Breaking Analysis Analyst Take on Dell


 

>>The transformation of Dell into Dell emc. And now Dell Technologies has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocket ship PC company to a Midling enterprise player, forced to go private to a debt laden powerhouse that controlled one of the most valuable assets in enterprise tech i e VMware, and now is a hundred billion dollar giant with a low margin business. A strong balance sheet in the broadest hardware portfolio in the industry and financial magic that Dell went through would make anyone's head spin. The last lever of Dell EMC of the Dell EMC deal was detailed in Michael Dell's book Play Nice But Win in a captivating chapter called Harry You and the Bolt from the Blue Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. >>If you haven't read it, you should. And of course, after years of successfully integrating EMC and becoming VMware's number one distribution channel, all of this culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending, of course the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello and welcome to the Cube's exclusive coverage of Dell Technology Summit 2022. My name is Dave Ante and I'll be hosting the program. Now today in conjunction with the Dell Tech Summit, we're gonna hear from four of Dell's senior executives, Tom Sweet, who's the CFO of Dell Technologies. He's gonna share his views on the company's position and opportunities going forward. He's gonna answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau, who's the president of Dell's ISG business. >>That unit is the largest profit driver of Dell. He's gonna talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam Groot, who is the senior vice president of marketing, will come on the program and give us the update on Apex, which is Dell's as a service offering, and then the new Edge platform called Project Frontier. Now it's also cyber security Awareness month that we're gonna see if Sam has, you know, anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're gonna speak with Jen Vera, who's Dell's chief Human Resource Resource Officer about hybrid work and how Dell is thinking about the future of work. However, before we get into all this, I wanna share our independent perspectives on the company and some research that we'll introduce to frame the program. >>Now, as you know, we love data here at the cube and one of our partners, ETR has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ET R'S proprietary net score methodology in the vertical access. That's a measure of spending velocity. And on the X axis, his overlap of pervasiveness in the data sample, this is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell CSG products, laptops in particular are dominant on both the X and the Y dimensions. CSG is the client solutions group and accounts for nearly 60% of Dell's revenue and about half of its operating income. And then the arrow signifies that dot, that represents Dell's ISG business that we're gonna talk to Jeff Boudro about. That's the infrastructure solutions group. Now, ISG accounts for the bulk of of the remainder of Dell's business, and it is, it's, as I said, it's most profitable from a margin standpoint. >>It comprises the EMC storage business as well as the Dell server business and Dell's networking portfolio. And as a note, we didn't include networking in that cut had we done. So Cisco would've dominated the graphic. And frankly, Dell's networking business isn't industry leading in the same way that PCs, servers and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server and its storage sectors. But the nuance is look at that red dotted line at 40% on the vertical axis that represents a highly elevated net score, and every company in the sector is below that line. Now we should mention that we also filtered the data for those companies with more than a hundred mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin storage is the exception, but cloud has put pressure on margins even in that business in addition to the server space. >>The last point on this graphic is we put a box around VMware and it's prominently present on both the X and Y dimensions. VMware participates with purely software defined high margin offerings in this, in these spaces, and it gives you a sense of what might have been had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives from Michael Dell were just too attractive and it's unlikely that a spin in would've unlocked the value in the way a spinout did, at least not in the near future. So let's take a look at the snapshot of Dell's financials. To give you a sense of where the company stands today, Dell is a company with over a hundred billion in revenue. Last quarter, it did more than 26 billion in revenue and grew at a quite amazing 9% rate for a company that size. >>But because it's a hardware company, primarily its margins are low with operating income, 10% of revenue, and at 21% gross margin with VMware on Dell's income statement before the spin, its gross margins. Were in the low thirties. Now, Dell only spends about 2% of revenue on r and d because because it's so big, it's still a lot of money. And you can see it is cash flow positive. Dell's free cash flow over the trailing 12 month period is 3.7 billion, but that's only 3.5% of trailing 12 month revenue. Dell's Apex, and of course it's hardware maintenance business is recurring revenue and that is only about 5 billion in revenue and it's growing at 8% annually. Now having said that, it's the equivalent of service now's total revenue. Of course, service now is 23% operating margin and 16% free cash flow margin and more than 5 billion in cash on the balance sheet and an 85 billion market cap. >>That's what software will do for you. Now Dell, like most companies, is staring at a challenging macro environment with FX headwinds, inflation, et cetera. You've heard the story and hence it's conservative and contracting revenue guidance. But the balance sheet transformation has been quite amazing. Thanks to VMware's cash flow, Michael Dell and his partners from Silver Lake at all, they put up around $4 billion of their own cash to buy EMC for 67 billion, and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction to the tune of 46 billion. It added to the, to the balance sheet debt. Now Dell's debt, the core debt net of its financing operation is now down to 16 billion and it has 7 billion in cash in the balance sheet. So dramatic delta from just a few years ago. So pretty good picture. >>But Dell a hundred billion company is still only valued at 28 billion or around 26 cents on the revenue dollar H HP's revenue multiple is around 60 cents on the revenue dollar. HP Inc. Dell's, you know, laptop and PC competitor is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than 50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple, it's over three x, about 3.3 x currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes and no. Dell's performance relative to its peers in the market is very strong. It's winning and has an extremely adept go to market machine, but it's lack of software content and it's margin profile leads. One to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. >>So what are some of those levers and what might that look like going forward? Despite the fact that Dell doesn't have a huge software revenue component since spinning out VMware and it doesn't own a cloud, it plays in virtually every part of the hardware market and it can provide infrastructure for pr pretty much any application in any use case and pretty much any industry and pretty much any geography in the world and it can serve those customers. So its size is an advantage. However, the history for hardware heavy companies that try to get bigger has some notable failures, namely hp, which had to split into two businesses, HP Inc. And hp E and ibm, which has had in abysmal decade from a performance standpoint and has had to shrink to grow again and obviously do a massive 34 billion acquisition of Red Hat. So why will Dell do any better than these two? >>Well, it has a fantastic supply chain. It's a founder led company, which makes a cultural difference in our view, and it's actually comfortable with a low margin software, light business model. Most certainly, IBM wasn't comfortable with that and didn't have these characteristics, and HP was kind of just incomprehensible at the end. So Dell in my opinion, is a much better chance of doing well at a hundred billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. Apex is essentially Dell's version of the cloud. Now remember, Dell got started late. HPE is further along from a model standpoint with GreenLake, but Dell has a larger portfolio, so they're gonna try to play on that advantage. But at the end of the day, these as a service offerings are simply ways to bring a utility model to existing customers and generate recurring revenue. >>And that's a good thing because customers will be loyal to an incumbent if it can deliver as a service and reduce risk for for customers. But the real opportunity lies ahead, specifically Dell is embracing the cloud model. It took a while, but they're on board as Matt Baker Dell's senior vice president of corporate strategy likes to say it's not a zero sum game. What it means by that is just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds, what we call super cloud. And that's Dell's strategy to take advantage of public cloud CapEx and connect on-prem to the cloud, create a unified experience across clouds and out to the edge that's ambitious and technically it's non-trivial. But listen to Dell's vice chairman and Coco, Jeff Clark, explain this vision, please play the clip. >>You said also technology and business models are tied together and enabler. That's if, if you believe that, then you have to believe that it's a business operating system that they want, They want to leverage whatever they can, and at the end of the day there's, they have to differentiate what they do. Well that, that's >>Exactly right. If I take that and what, what Dave was saying and and I, and I summarize it the following way, if we can take these cloud assets and capabilities, combine them in an orchestrated way to delivery a distributed platform, game over, >>Eh, pretty interesting, right? John Freer called it a business operating system. Essentially, I think of it sometimes as a cloud operating system or cloud operating environment to drive new business value on top of the hyperscale CapEx. Now, is it really game over? As Jeff Clark said, if Dell can do that, I'd say if it had that today, it might be game over for the competition, but this vision will take years to play out. And of course it's gotta be funded and now it's gonna take time. And in this industry it tends to move. Companies tend to move in lockstep. So as often as the case, it's gonna come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin data management, extending data protection into cyber security as an adjacency and of course edge at telco slash 5G opportunities. >>All there for the taking. I mean, look, even if Dell doesn't go after more higher margin software content, it can thrive with a lower margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers and maybe through Tuck in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here ecosystem, ecosystem, ecosystem. Because a defining characteristic of a cloud player is ecosystem, and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges. At the same time, in my view, it's just scratching the surface on its partner ecosystem. And it's ecosystem today is is both reseller heavy and tech partner heavy. And that's not a bad thing, but in a, but it's starting to evolve more rapidly. >>The snowflake deal is an example of up to stack evolution, but I'd like to see much more out of that snowflake relationship and more relationships like that. Specifically I'd like to see more momentum with data and database. And if we live at a data heavy world, which we do, where the data and the database and data management offerings, you know, coexist and are super important to customers, like to see that inside of Apex, like to see that data play beyond storage, which is really where it is today and it's early days. The point is with Dell's go to market advantage, which which company wouldn't treat Dell like the on-prem hybrid edge super cloud player that I wanna partner with to drive more business. You'd be crazy not to, but Dell has a lot on its plate and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform, its programmable infrastructure as a service. And that is a moving target that will rapidly involve. And of course we'll be here watching and reporting. So thanks for watching this preview of Dell Technology Summit 2022. I'm Dave Vte. We hope you enjoy the rest of the program.

Published Date : Oct 13 2022

SUMMARY :

The last lever of Dell EMC of the Dell EMC deal was detailed He's gonna answer the question, why is Dell a good long-term investment? He's gonna talk about the product angle and specifically how Dell is thinking about solving And on the X axis, his overlap of pervasiveness in the This is a mature business that generally is lower margin storage is the exception, So let's take a look at the snapshot of Dell's financials. it's the equivalent of service now's total revenue. and of course got VMware in the process. around 26 cents on the revenue dollar H HP's revenue multiple is around 60 cents the fact that Dell doesn't have a huge software revenue component since spinning out VMware But at the end of the day, these as a service offerings are simply ways to bring a utility model But the real opportunity lies ahead, That's if, if you believe that, then you have to believe that it's a business operating system that If I take that and what, what Dave was saying and and I, and I summarize it the following way, So as often as the case, it's gonna come down to execution and Dell's ability to enter new and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem Specifically I'd like to see more momentum with data and database.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Jeff BoudreauPERSON

0.99+

DavePERSON

0.99+

Jeff BoudroPERSON

0.99+

VMwareORGANIZATION

0.99+

IBMORGANIZATION

0.99+

Jeff ClarkPERSON

0.99+

Tom SweetPERSON

0.99+

CiscoORGANIZATION

0.99+

Jen VeraPERSON

0.99+

DellORGANIZATION

0.99+

23%QUANTITY

0.99+

John FreerPERSON

0.99+

SamPERSON

0.99+

3.7 billionQUANTITY

0.99+

Sam GrootPERSON

0.99+

10%QUANTITY

0.99+

Matt BakerPERSON

0.99+

21%QUANTITY

0.99+

Michael DellPERSON

0.99+

9%QUANTITY

0.99+

7 billionQUANTITY

0.99+

85 billionQUANTITY

0.99+

HPORGANIZATION

0.99+

Dave AntePERSON

0.99+

12 monthQUANTITY

0.99+

28 billionQUANTITY

0.99+

Harry You and the BoltTITLE

0.99+

3.5%QUANTITY

0.99+

34 billionQUANTITY

0.99+

HP Inc.ORGANIZATION

0.99+

16%QUANTITY

0.99+

46 billionQUANTITY

0.99+

Last quarterDATE

0.99+

67 billionQUANTITY

0.99+

40%QUANTITY

0.99+

ApexORGANIZATION

0.99+

more than 5 billionQUANTITY

0.99+

more than 50 billionQUANTITY

0.99+

more than 26 billionQUANTITY

0.99+

Red HatORGANIZATION

0.99+

twoQUANTITY

0.99+

hpORGANIZATION

0.99+

Dell TechnologiesORGANIZATION

0.99+

around $4 billionQUANTITY

0.99+

Breaking Analysis: Analyst Take on Dell


 

(upbeat music) >> The transformation of Dell into Dell EMC, and now Dell Technologies, has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocketship PC company, to a middling enterprise player, forced to go private, to a debt-laden powerhouse that controlled one of the most valuable assets in enterprise tech, i.e., VMware. And now is a $100 billion dollar giant with a low-margin business, a strong balance sheet, and the broadest hardware portfolio in the industry. The financial magic that Dell went through would make anyone's head spin. The last lever of the Dell EMC deal was detailed in Michael Dell's book "Play Nice But Win," in a captivating chapter called "Harry You and the Bolt from the Blue." Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. If you haven't read it, you should. And of course, after years of successfully integrating EMC and becoming VMware's number-one distribution channel, all of this culminated in the spin-out of VMware from Dell, and a massive wealth-creation milestone, pending, of course, the Broadcom acquisition of VMware. So where's that leave Dell, and what does the future look like for this technology powerhouse? Hello, and welcome to theCUBE's exclusive coverage of Dell Technologies Summit 2022. My name is Dave Vellante, and I'll be hosting the program. Now, today in conjunction with the Dell Tech Summit, we're going to hear from four of Dell's senior executives. Tom Sweet, who's the CFO of Dell Technologies. He's going to share his views on the company's position and opportunities going forward. He's going to answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau, who's the President of Dell's ISG business. That unit is the largest profit driver of Dell. He's going to talk about the product angle, and specifically, how Dell is thinking about solving the multi-cloud challenge. And then Sam Grocott, who's the Senior Vice President of Marketing, will come on the program and give us the update on APEX, which is Dell's as-a-Service offering, and then the new edge platform called Project Frontier. Now, it's also Cybersecurity Awareness Month, that we're going to see if Sam has, you know, anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward-thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jenn Saavedra, who's Dell's Chief Human Resource Officer, about hybrid work, and how Dell is thinking about the future of work. However, before we get into all this, I want to share our independent perspectives on the company, and some research that we'll introduce to frame the program. Now, as you know, we love data here at theCUBE, and one of our partners, ETR, has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ETR's proprietary Net Score methodology on the vertical axis, that's a measure of spending velocity, and on the x-axis is overlap or pervasiveness in the data sample. This is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell's CSG products, laptops in particular, are dominant on both the x and the y dimensions. CSG is the Client Solutions Group, and accounts for nearly 60% of Dell's revenue, and about half of its operating income. And then the arrow signifies that dot that represents Dell's ISG business, that we're going to talk to Jeff Boudreau about. That's the Infrastructure Solutions Group. Now, ISG accounts for the bulk of the remainder of Dell's business, and it is its, as I said, its most profitable from a margin standpoint. It comprises the EMC storage business, as well as the Dell server business, and Dell's networking portfolio. And as a note, we didn't include networking in that cut. Had we done so, Cisco would've dominated the graphic. And frankly, Dell's networking business isn't industry leading in the same way that PCs, servers, and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server, and its storage sectors. But the nuance is, look at that red dotted line at 40% on the vertical axis. That represents a highly elevated Net Score, and every company in the sector is below that line. Now, we should mention that we also filtered the data for those companies with more than a hundred mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin. Storage is the exception, but cloud has put pressure on margins even in that business, in addition to the server space. The last point on this graphic is, we put a box around VMware, and it's prominently present on both the x and y dimensions. VMware participates with purely software-defined high-margin offerings in these spaces, and it gives you a sense of what might have been, had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives for Michael Dell were just too attractive, and it's unlikely that a spin-in would've unlocked the value in the way a spin-out did, at least not in the near future. So let's take a look at the snapshot of Dell's financials, to give you a sense of where the company stands today. Dell is a company with over $100 billion dollars in revenue. Last quarter, it did more than 26 billion in revenue, and grew at a quite amazing 9% rate, for a company that size. But because it's a hardware company, primarily, its margins are low, with operating income 10% of revenue, and at 21% gross margin. With VMware on Dell's income statement before the spin, its gross margins were in the low 30s. Now, Dell only spends about 2% of revenue on R&D, but because it's so big, it's still a lot of money. And you can see it is cash-flow positive. Dell's free cash flow over the trailing 12-month period is 3.7 billion, but that's only 3.5% of trailing 12-month revenue. Dell's APEX, and of course its hardware maintenance business, is recurring revenue, and that is only about 5 billion in revenue, and it's growing at 8% annually. Now, having said that, it's the equivalent of ServiceNow's total revenue. Of course, ServiceNow has 23% operating margin and 16% free cash-flow margin, and more than $5 billion in cash on the balance sheet, and an $85 billion market cap. That's what software will do for you. Now Dell, like most companies, is staring at a challenging macro environment, with FX headwinds, inflation, et cetera. You've heard the story. And hence it's conservative, and contracting revenue guidance. But the balance sheet transformation has been quite amazing, thanks to VMware's cash flow. Michael Dell and his partners from Silver Lake et al., they put up around $4 billion of their own cash to buy EMC for 67 billion, and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction, to the tune of $46 billion it added to the balance sheet debt. Now, Dell's debt, the core debt, net of its financing operation, is now down to 16 billion, and it has $7 billion in cash on the balance sheet. So a dramatic delta from just a few years ago. So, pretty good picture. But Dell, a $100 billion company, is still only valued at 28 billion, or around 26 cents on the revenue dollar. HPE's revenue multiple is around 60 cents on the revenue dollar. HP Inc., Dell's laptop and PC competitor, is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than $50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple that's over 3x, about 3.3x currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes, and no. Dell's performance, relative to its peers in the market, is very strong. It's winning, and has an extremely adept go-to-market machine, but its lack of software content and its margin profile leads one to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. So what are some of those levers, and what might that look like, going forward? Despite the fact that Dell doesn't have a huge software revenue component since spinning out VMware, and it doesn't own a cloud, it plays in virtually every part of the hardware market. And it can provide infrastructure for pretty much any application in any use case, in pretty much any industry, in pretty much any geography in the world. And it can serve those customers. So its size is an advantage. However, the history for hardware-heavy companies that try to get bigger has some notable failures, namely HP, which had to split into two businesses, HP Inc. and HPE, and IBM, which has had an abysmal decade from a performance standpoint, and has had to shrink to grow again, and obviously do a massive $34 billion acquisition of Red Hat. So why will Dell do any better than these two? Well, it has a fantastic supply chain. It's a founder-led company, which makes a cultural difference, in our view. And it's actually comfortable with a low-margin software-light business model. Most certainly, IBM wasn't comfortable with that, and didn't have these characteristics, and HP was kind of just incomprehensible at the end. So Dell in my opinion, has a much better chance of doing well at 100 billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. APEX is essentially Dell's version of the cloud. Now, remember, Dell got started late. HPE is further along from a model standpoint with GreenLake, but Dell has a larger portfolio, so they're going to try to play on that advantage. But at the end of the day, these as-a-Service offerings are simply ways to bring a utility model to existing customers, and generate recurring revenue. And that's a good thing, because customers will be loyal to an incumbent if it can deliver as-a-Service and reduce risk for customers. But the real opportunity lies ahead. Specifically, Dell is embracing the cloud model. It took a while, but they're on board. As Matt Baker, Dell's Senior Vice President of Corporate Strategy, likes to say, it's not a zero-sum game. What he means by that is, just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds. What we call supercloud. And that's Dell's strategy, to take advantage of public cloud capex, and connect on-prem to the cloud, create a unified experience across clouds, and out to the edge. That's ambitious, and technically it's nontrivial. But listen to Dell's Vice Chairman and Co-COO, Jeff Clarke, explain this vision. Please play the clip. >> You said also, technology and business models are tied together, and an enabler. >> That's right. >> If you believe that, then you have to believe that it's a business operating system that they want. They want to leverage whatever they can, and at the end of the day, they have to differentiate what they do. >> Well, that's exactly right. If I take that and what Dave was saying, and I summarize it the following way: if we can take these cloud assets and capabilities, combine them in an orchestrated way to deliver a distributed platform, game over. >> Eh, pretty interesting, right? John Furrier called it a "business operating system." Essentially, I think of it sometimes as a cloud operating system, or cloud operating environment, to drive new business value on top of the hyperscale capex. Now, is it really game over, as Jeff Clarke said, if Dell can do that? Uh, (sucks in breath) I'd say if it had that today, it might be game over for the competition, but this vision will take years to play out. And of course, it's got to be funded. And that's going to take time, and in this industry, it tends to move, companies tend to move in lockstep. So, as often is the case, it's going to come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin. Data management, extending data protection into cybersecurity as an adjacency, and of course, edge and telco/5G opportunities. All there for the taking. I mean, look, even if Dell doesn't go after more higher-margin software content, it can thrive with a lower-margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers, and maybe through tuck-in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here, "Ecosystem, ecosystem, ecosystem," because a defining characteristic of a cloud player is ecosystem, and if APEX is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges at the same time, in my view. It's just scratching the surface on its partner ecosystem. And its ecosystem today is both reseller heavy and tech partner heavy. And that's not a bad thing, but it's starting to evolve more rapidly. The Snowflake deal is an example of up-the-stack evolution, but I'd like to see much more out of that Snowflake relationship, and more relationships like that. Specifically, I'd like to see more momentum with data and database. And if we live in a data-heavy world, which we do, where the data and the database and data management offerings, you know, coexist and are super important to customers, I'd like to see that inside of APEX. I'd like to see that data play beyond storage, which is really where it is today, in its early days. The point is, with Dell's go-to-market advantage, which company wouldn't treat Dell like the on-prem, hybrid, edge, supercloud player that I want to partner with to drive more business? You'd be crazy not to. But Dell has a lot on its plate, and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform, its programmable Infrastructure-as-a-Service. And that is a moving target that will rapidly evolve. And of course, we'll be here watching and reporting. So thanks for watching this preview of Dell Technologies Summit 2022. I'm Dave Vellante, we hope you enjoy the rest of the program. (upbeat music)

Published Date : Oct 12 2022

SUMMARY :

and of course got VMware in the process. and an enabler. and at the end of the day, and I summarize it the following way: and are super important to customers,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Jeff BoudreauPERSON

0.99+

Dave VellantePERSON

0.99+

IBMORGANIZATION

0.99+

DavePERSON

0.99+

Jeff ClarkePERSON

0.99+

Sam GrocottPERSON

0.99+

Tom SweetPERSON

0.99+

Jenn SaavedraPERSON

0.99+

Matt BakerPERSON

0.99+

HPORGANIZATION

0.99+

HPEORGANIZATION

0.99+

CiscoORGANIZATION

0.99+

Michael DellPERSON

0.99+

DellORGANIZATION

0.99+

$85 billionQUANTITY

0.99+

VMwareORGANIZATION

0.99+

$34 billionQUANTITY

0.99+

21%QUANTITY

0.99+

3.7 billionQUANTITY

0.99+

$7 billionQUANTITY

0.99+

HP Inc.ORGANIZATION

0.99+

Last quarterDATE

0.99+

10%QUANTITY

0.99+

100 billionQUANTITY

0.99+

$100 billionQUANTITY

0.99+

SamPERSON

0.99+

John FurrierPERSON

0.99+

Harry You and the Bolt from the BlueTITLE

0.99+

8%QUANTITY

0.99+

more than $50 billionQUANTITY

0.99+

23%QUANTITY

0.99+

28 billionQUANTITY

0.99+

40%QUANTITY

0.99+

16%QUANTITY

0.99+

67 billionQUANTITY

0.99+

more than $5 billionQUANTITY

0.99+

Red HatORGANIZATION

0.99+

$46 billionQUANTITY

0.99+

12-monthQUANTITY

0.99+

more than 26 billionQUANTITY

0.99+

Play Nice But WinTITLE

0.99+

3.5%QUANTITY

0.99+

Michael DellPERSON

0.99+

Dell TechnologiesORGANIZATION

0.99+

The Future of Dell Technologies


 

(upbeat music) >> The transformation of Dell into Dell EMC and now Dell Technologies has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocket ship PC company, to a middling enterprise player forced to go private, to a debt-laden powerhouse that controlled one of the most valuable assets in enterprise tech i.e VMware. And now is a 100 billion dollar giant with a low margin business, a strong balance sheet, and the broadest hardware portfolio in the industry. Financial magic that Dell went through would make anyone's head spin. The last lever of Dell EMC, of the Dell EMC deal was detailed in Michael Dell's book, "Play Nice But Win." In a captivating chapter called Harry You and the Bolt from the Blue, Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. If you haven't read it, you should. And, of course, after years of successfully integrating EMC and becoming VMware's number one distribution channel, all of this culminated in the spin out of VMware from Dell in a massive wealth creation milestone. Pending, of course, the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello, and welcome to theCUBE's exclusive coverage of Dell Technology Summit 2022. My name is Dave Vellante and I'll be hosting the program. Now, today in conjunction with the Dell Tech Summit, we're going to hear from four of Dell's senior executives Tom Sweet, who's the CFO of Dell Technologies. He's going to share his views on the company's position and opportunities going forward. He's going to answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau who's the president of Dell's ISG business. That unit is the largest profit driver of Dell. He's going to talk about the product angle and specifically, how Dell is thinking about solving the multi-cloud challenge. And then Sam Grocott who is the senior vice president of marketing will come on the program and give us the update on Apex, which is Dell's as-a-service offering, and then the new edge platform called Project Frontier. Now, it's also Cyber Security Awareness month that we're going to see if Sam has anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward-thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jennifer Saavedra who's Dell's chief human resource officer about hybrid work and how Dell is thinking about the future of work. However, before we get into all this, I want to share our independent perspectives on the company and some research that will introduce to frame the program. Now, as you know, we love data here at theCUBE and one of our partners, ETR has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ETR's proprietary net score methodology in the vertical axis. That's a measure of spending velocity. And on the x-axis is overlap of pervasiveness in the data sample. This is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell CSG products, laptops in particular are dominant on both the X and the Y dimensions. CSG is the client solutions group and accounts for nearly 60% of Dell's revenue and about half of its operating income. And then the arrow signifies that dot that represents Dell's ISG business that we're going to talk to Jeff Boudreau about. That's the infrastructure solutions group. Now, ISG accounts for the bulk of the remainder of Dell's business and it is, as I said, it's most profitable from a margin standpoint. It comprises the EMC storage business as well as the Dell server business and Dell's networking portfolio. And as a note, we didn't include networking in that cut. Had we done so, SISCO would've dominated the graphic. And frankly, Dell's networking business is an industry-leading in the same way that PCs, servers, and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server and its storage sectors. But the nuance is look at that red dotted line at 40% on the vertical axis. That represents a highly elevated net score and every company in the sector is below that line. Now, we should mention that we also filtered the data for those companies with more than a 100 mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin. Storage is the exception but cloud has put pressure on margins even in that business in addition to the server space. The last point on this graphic is we put a box around VMware and it's prominently present on both the X and Y dimensions. VMware participates with purely software-defined high margin offerings in these spaces, and it gives you a sense of what might have been had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives from Michael Dell were just too attractive and it's unlikely that a spin in would've unlocked the value in the way a spin-out did, at least not in the near future. So let's take a look at the snapshot of Dell's financials to give you a sense of where the company stands today. Dell is a company with over a 100 billion dollars in revenue. Last quarter, it did more than 26 billion in revenue and grew at a quite amazing 9% rate for a company that size. But because it's a hardware company primarily, its margins are low with operating income 10% of revenue and at 21% gross margin. With VMware on Dell's income statement, before the spin its gross margins were in the low 30s. Now, Dell only spends about 2% of revenue on R&D because because it's so big, it's still a lot of money. And you can see it is cash flow positive, Dell's free cash flow over the trailing 12-month period is 3.7 billion but that's only 3.5% of trailing 12-month revenue. Dell's Apex and of course it's hardware maintenance business is recurring revenue and that is only about 5 billion in revenue and it's growing at 8% annually. Now having said that, it's the equivalent of Service now's total revenue. Of course, Service now has 23% operating margin and 16% free cash flow margin and more than $5 billion in cash on the balance sheet and an 85 billion dollar market cap. That's what software will do for you. Now, Dell, like most companies, is staring at a challenging macro environment with FX headwinds, inflation, et cetera. You've heard the story, and hence it's conservative and contracting revenue guidance. But the balance sheet transformation has been quite amazing thanks to VMware's cash flow. Michael Dell and his partners from Silver Lake et al, they put up around $4 billion of their own cash to buy EMC for $67 billion and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction to the tune of $46 billion it added to the balance sheet debt. Now, Dell's debt, the core debt, net of its financing operation is now down to 16 billion and it has 7 billion in cash in the balance sheet. So dramatic delta from just a few years ago. So pretty good picture. But Dell, a 100 billion company, is still only valued at 28 billion or around 26 cents on the revenue dollar. HPE's revenue multiple is around 60 cents on the revenue dollar. HP Inc, Dell's laptop and PC competitor, is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than $50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple, it's over 3X, about 3.3X currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes and no. Dell's performance relative to its peers in the market is very strong. It's winning and has an extremely adept go to market machine. But it's lack of software content and it's margin profile leads one to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. So what are some of those levers and what might that look like going forward? Despite the fact that Dell doesn't have a huge software revenue component, since spinning out VMware, and it doesn't own a cloud, it plays in virtually every part of the hardware market. And it can provide infrastructure for pretty much any application, in any use case, in pretty much any industry, in pretty much any geography in the world and it can serve those customers. So its size is an advantage. However, the history for hardware-heavy companies that try to get bigger has some notable failures. Namely HP which had to split into two businesses, HP Inc and HPE, and IBM which has had in abysmal decade from a performance standpoint and has had to shrink to grow again and obviously do a massive $34 billion acquisition of Red Hat. So why will Dell do any better than these two? Well, it has a fantastic supply chain. It's a founder-led company which makes a cultural difference, in our view, and it's actually comfortable with a low margin software light business model. Most certainly, IBM wasn't comfortable with that and didn't have these characteristics and HP was kind of just incomprehensible at the end. So Dell in my opinion is a much better chance of doing well at a 100 billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. Apex is essentially Dell's version of the cloud. Now remember, Dell got started late. HPE is further along from a model standpoint with GreenLake. But Dell has a larger portfolio so they're going to try to play on that advantage. But at the end of the day, these as-a-service offerings are simply ways to bring a utility model to existing customers and generate recurring revenue. And that's a good thing because customers will be loyal to an incumbent if it can deliver as-a-service and reduce risk for customers. But the real opportunity lies ahead, specifically Dell is embracing the cloud model. It took a while, but they're on board. As Matt Baker, Dell's senior vice president of corporate strategy likes to say, it's not a zero sum game. What he means by that is just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds, what we call super cloud. And that's Dell's strategy to take advantage of public cloud CapEx and connect on-prem to the cloud, create a unified experience across clouds and out to the edge. That's ambitious and technically it's non-trivial. But listen to Dell's vice chairman and co-COO Jeff Clarke explain this vision. Please play the clip. >> You said also technology and business models are tied together and enabler. If you believe that, then you have to believe that it's a business operating system that they want. They want to leverage whatever they can and at the end of the day, they have to differentiate what they do. >> No, that's exactly right. If I take that and what Dave was saying and I summarize it the following way. If we can take these cloud assets and capabilities, combine them in an orchestrated way to deliver a distributed platform, game over. >> Yeah, pretty interesting, right? John Freer called it a business operating system. Essentially, I think of it sometimes as a cloud operating system or cloud operating environment to drive new business value on top of the hyperscale CapEx. Now, is it really game over as Jeff Clarke said, if Dell can do that? I'd say if it had that today, it might be game over for the competition but this vision will take years to play out, and of course it's got to be funded. And now it's going to take time and in this industry, it tends to move, companies tend to move in lockstep. So as often as the case, it's going to come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin. Data management, extending data protection into cyber security as an adjacency and, of course, edge at Telco slash 5G opportunities. All there for the taking. I mean, look, even if Dell doesn't go after more higher margin software content, it can thrive with a lower margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers and maybe through tuck in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here ecosystem, ecosystem, ecosystem. Because a defining characteristic of a cloud player is ecosystem and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges at the same time, in my view. It's just scratching the surface on its partner ecosystem. And it's ecosystem today is is both reseller heavy and tech partner heavy. And that's not a bad thing, but it's starting to evolve more rapidly. The snowflake deal is an example of up to stack evolution. But I'd like to see much more out of that Snowflake relationship and more relationships like that. Specifically, I'd like to see more momentum with data and database. And if we live at a data heavy world, which we do, where the data and the database and data management offerings coexist and are super important to customers, I'd like to see that inside of Apex. I'd like to see that data play beyond storage which is really where it is today and it's early days. The point is, with Dell's go to market advantage, which company wouldn't treat Dell like the on-prem, hybrid, edge, super cloud player, that I want to partner with to drive more business? You'd be crazy not to. But Dell has a lot on its plate and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform. Its programmable infrastructure as-a-service. And that is a moving target that will rapidly involve. And, of course, we'll be here watching and reporting. So thanks for watching this preview of Dell Technology Summit 2022. I'm Dave Vellante, we hope you enjoy the rest of the program. (upbeat music)

Published Date : Oct 6 2022

SUMMARY :

and every company in the and at the end of the day, and I summarize it the following way. it has the opportunity to expand

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

VMwareORGANIZATION

0.99+

Jeff BoudreauPERSON

0.99+

Jennifer SaavedraPERSON

0.99+

Tom SweetPERSON

0.99+

IBMORGANIZATION

0.99+

Sam GrocottPERSON

0.99+

Matt BakerPERSON

0.99+

DavePERSON

0.99+

CiscoORGANIZATION

0.99+

Jeff ClarkePERSON

0.99+

DellORGANIZATION

0.99+

HPEORGANIZATION

0.99+

HP IncORGANIZATION

0.99+

SamPERSON

0.99+

John FreerPERSON

0.99+

3.7 billionQUANTITY

0.99+

SISCOORGANIZATION

0.99+

Michael DellPERSON

0.99+

9%QUANTITY

0.99+

HPORGANIZATION

0.99+

7 billionQUANTITY

0.99+

85 billionQUANTITY

0.99+

23%QUANTITY

0.99+

$46 billionQUANTITY

0.99+

Last quarterDATE

0.99+

21%QUANTITY

0.99+

ApexORGANIZATION

0.99+

28 billionQUANTITY

0.99+

$67 billionQUANTITY

0.99+

16%QUANTITY

0.99+

8%QUANTITY

0.99+

40%QUANTITY

0.99+

more than $5 billionQUANTITY

0.99+

more than $50 billionQUANTITY

0.99+

12-monthQUANTITY

0.99+

10%QUANTITY

0.99+

TelcoORGANIZATION

0.99+

Red HatORGANIZATION

0.99+

100 billionQUANTITY

0.99+

16 billionQUANTITY

0.99+

EMCORGANIZATION

0.99+

Michael Sherwood, City of Las Vegas | CrowdStrike Fal.Con 2022


 

(intro music) >> Hi, everybody, we're back. Dave Vellante and Dave Nicholson. We're covering Fal.Con 22. This is CrowdStrike's big user conference. CrowdStrike is a very hot company, as you probably know started on endpoint security, expanding into another, a number of other areas trying to build the next great generational company in cybersecurity. Michael Sherwood is here. He's the chief innovation and technology officer for the city of Las Vegas. >> Got to love that. >> Thanks so much for coming to theCUBE. >> Welcome! >> Yeah, we got to love that. I mean, if it weren't for Las Vegas, I'm not sure where we would have our CUBE events, but so thank you for hosting us. >> Thank you for being here. This is awesome. It's a great day and a lot of people, and it's exciting to see everything that's going on here. >> Yeah, the city is booming. Obviously the convention, the conference business is booming. Tech is a big part of that but there's so many other industries that come to Las Vegas. Talk about your role, really interesting, chief innovation, technology officer, CTO. Tell us about what you do day to day. >> Kind of all over the place. But a lot of it has to do with day to day technology within the organization. So managing all the different technology components. When you start looking at any city, it's a lot of different companies inside of it. Think of fire service as a different company. They all have different missions. And so our technology needs are expansive. So while we have operational IT, we also have our innovation unit. Innovation unit works on next generation technology. So Las Vegas was one of the first cities in the United States to have a autonomous vehicle drive in mix-flow traffic, meaning it was out there with, driving along cars. We're also the first city to have an accident in a autonomous vehicle. That happened on day two. (Vellante laughing) So, there's always a lot of firsts in Las Vegas, but. >> Despite the grid. >> Despite the grid, you know. But even today, so that was in 2017, when we first started working with autonomous vehicles. Up until today, where you have the ability, anybody in Las Vegas, including yourselves right after the show can go ahead and use Lyft, go outside and hail an autonomous taxi to come pick you up and drive you up and down the strip. Those vehicles actually communicate with our infrastructure. So the innovation is, how do cities work with private companies to start building next generation amenities, next generation technologies? And so that happens a lot of times. People don't realize. They come to Las Vegas for entertainment, and now we're known for sports but we do have a lot of technology here that permeates through the entire community. >> So I'm from Boston. We're trying to get the smart traffic lights, we're not quite there yet. But I was at a session, Dave you'll appreciate it, it was John Rose, who was the CTO. He was the CTO of, he's a CTO of Dell Technologies now. And the mayor of Boston, we were talking about the vision for a smart city. But Boston and I mean talk about, a challenge for building a smart city. So when I come out here, it's like amazing to me to see the technology that's there. So as a CTO and innovation officer, you've got a playground where... Now, of course you have legacy infrastructure, you've got technical debt, but you also have, in certain cases, an opportunity and more latitude to get creative. So what are some of the cool things that you're working on that you're really excited about? >> There's a lot of things I'm excited about. It's just great being in this city. But a lot of the things that we're excited about here in the next year to two years, we have an innovation district. So not a lot of cities have this but Downtown around the Fremont Street Experience, there's a corridor there that covers government, covers entertainment, medical. And so this innovation district is where we test out new technologies. So some of the things we're testing out, computer vision. So we're, our smart parks program is how do we provide better security and enjoyment of those amenities without providing physical labor to constantly patrol. And so we're using cameras and vision and different types of AI algorithms to kind of manage the park. And while we're doing that, we're also getting data back on how often is the park used? Are the facilities, are the sprinklers going on during the day? Water's a big deal here. And so those type of projects. Again, autonomy is still huge, vehicle autonomy, still working on driving those next generation changes where you'll actually have a driverless vehicle. Right now, there's a safety driver in a lot of the autonomous vehicles. Even the one I talked about earlier, you have the, while the vehicles driving itself, for safety reasons, there's still a human driver in the seat. But as we go forward in the next year to two, that >> That's soon. >> is getting ready to change. I believe that's soon. You can quote it here, you heard it here first. >> Wow. >> But that would be coming up. You got drones as well. We've already started looking at a few types of drone delivery systems. It may not be too far away. Your pizza or maybe some other item that you want is delivered in the general area. Probably not in the hotel corridor but in the outside areas of the city. I just think there's a lot of, again, we're building amenities for the future. We really want people to understand that Las Vegas is not just a place to come visit, but it's a place to live and have fun and be part of a community. >> So from an academic perspective, what you just described is a highly ambidextrous organization, right? >> Yes. >> Because you're not just worried about keeping the lights on, but you're also looking at innovation. How did your organization get to this place? What you're describing is sort of the gold standard that any organization public or private would seek to implement. How did you get there? >> Baby steps, small steps. It all started back when there was the Smart Cities Challenge. So we were not selected as the finalist. We were in the, I think top 15 at the time but we didn't give up on it. And we continued to move forward. The pandemic helped us do things. When you ask, what do I do? Well, my normal job is running the day to day infrastructure. I also see my role as economic development to help bring companies here and bring new ideas. We have a great community, diverse and ready to do things. But when you take, talk about the innovation and the technology and what we're doing. Like I said, during a pandemic, we came up with the idea of, Hey, we don't want to send our building inspectors or our inspectors in the people's homes, one for the inspector's health and one for the citizen's health. So we used normal tools. We took an iPhone and made it a virtual inspector. So now if you get a new water heater, you can actually do your inspection via like a FaceTime. And you hold your phone up around the water heater. We can view it, we record the video, save it, and boom give you an inspection remotely. And so you build on it. So how do you get, I wouldn't quite say we're the gold. I appreciate, we're moving there, that's the bar. You've laid out the bar for us, but we're moving in that direction. But it's building on one win and not all of our things that we've deployed. We can talk about those as well. Some of the things like trash can sensors, we looked at doing, which would monitor when the trash can was full or empty, just didn't pan out. So a lot of the times I talk about the wins a lot not as much about the things that didn't pan out. >> So what're the big challenges, generally of building out a smart city and then specifically around cyber? >> So there's, community acceptance number one. Las Vegas, I'm very lucky cameras are everywhere. So there's not as much resistance to using video technology. But a lot of times it's just getting the constituents, getting people to understand the value of what we're trying to do. Not everybody is interested in autonomous vehicles or believes they're ready for that. But when you start looking at the increments, more than any other city I know, the community here is so robust and so supportive of bringing on these technologies. Look, what other city do you know that builds new buildings and knocks them down five years later to build something new again? Or, who has a volcano in the middle of their downtown? So different things like that. But when you start looking at all the advancements we're making, you brought up one of the biggest concerns. When people ask me, what keeps you up at night? It's not the autonomous vehicle not performing, its the cyber, it's the cyber issues that go along with becoming more advanced. And as you bring innovation in, you start bleeding the lines of what's government, what's private. And then how do you continue to have the data transmission between these multiple entities? How do you keep the endpoint secure? And that is something that you learn as you go, but it's always out there. And endpoint security and security in general is a huge, huge area. >> And how about the data? You were talking before about you can get actually approval for an inspection. That's data, it's video data. How have you changed the way in which you're using data? What are you doing with that data? How do you leverage it? How do you secure it? >> It's all great questions. One of the things we've undertaken is called an open data initiative. So we have an open data portal. It's opendata.lasvegasnevada.gov, where we publish a lot of the data sets that we collect. If it's air quality, if it's ambulance runs, and we make that data available. A lot of that is, one for the public for transparency, two though, it's, we hope enables the private sector to build apps off of the data that we have. A lot of times, you either you have the data but you don't have the app or you have the app, but no data. So in our way, it's trying to help the community build up new ideas. Our push has been moving to the cloud a lot. So we're pushing a lot more data into the cloud where before I think a lot of governments keep a lot of that internal, but obviously look, the cloud's here to stay and it's not going anywhere. And so now it's more about as we migrate, using our partners, our relationship with CrowdStrike, to start securing not only our endpoints but start looking at the cloud space as well. And then we have this new technology. It's not really new, but edge compute. You've heard a lot of, there's different people talking about it. When you start talking about autonomous vehicles, autonomous delivery, drones. We own a large private wireless network. A lot of data now is computed at the edge and we're only taking the metadata and sending it up to the cloud. So it becomes rather complicated with security being at the forefront. >> Yeah, so that very small portion of the actual amount of data that's created goes back but it's such a massive amount of data. It's not to trivialize it, it's still a lot. And some of it is probably ephemeral. Do you persist at all? Or probably not. >> Not always, I mean. A lot of it, what we're learning is, it's a learning process as you go through this smart city or what we call just basically emerging into, 'cause I believe all cities are smart. Not one city smarter than another necessarily. So I'm not really a fan of the term smart city. It's more in line with me as we're building amenities for the future and building amenities for people. And a lot of that is built upon data and then built upon providing things that citizens want. And we all know, we all live somewhere and we live there because it's safe community, it has good education, good infrastructure whatever it might be. And so we're trying to build out that smart community to be as many things as we can to as many people. >> Yeah, that's fair. And there's automation, there's certainly machine intelligence that's heavily involved. Of course, you talking autonomous. Now I understand your work transcends the city of Las Vegas into the broader state of Nevada helping make Nevada a safer state. What's that all about? >> So we have a great partnership. One of the great things, I come from California, so a rather large state. Here in Nevada, it's a very close knit state. So we have a lot of communications with the state. We get to work with them very closely. One of the initiatives we've been working on is how do we, a lot of organizations spend a lot of time doing cybersecurity for just their organization. So it's focused internal on the employees that might work in that organization. We're kind of now looking outwards and saying, how do we not only do that for our internal government employees but how do we involve the entire community? One of the things is, is Las Vegas over 40,000 conventions per year. You're here a lot. What happens in Vegas stays in Vegas and a lot of people bring malware with them and it stays here. We're trying to educate people. We do a lot in government to help people with police and fire and services. What is local government doing to help the community prepare for the next generation of cyber threats and issues? So our initiative is really working with the community, bringing in CrowdStrike and other partners to help us not only work with small business, but work with those entrepreneurs as well as the midsize businesses. >> So what do you do with Crowd? You got the cool little CrowdStrike, not CrowdStrike, but you got the red splash in your lapel. Very cool cuff links, I noticed that you have there. I love the red. >> Little poker chips there. >> They're Very nice, very nice. >> They're very cool. So what do you do with CrowdStrike? >> So CrowdStrike is one of our major components in our security posture. We use them as endpoint protection. I can tell you a quick story. I know my CISO's listening probably was going to cringe now when I tell this story, but our journey with CrowdStrike has been amazing. We deployed the product and when that first week of deployment, we had a malicious actor and CrowdStrike was able to catch it. I would probably would not be here today with you two gentlemen if it wasn't for CrowdStrike. That's not an endorsement it's just a, that's a fact of how things rolled out. But we depend on CrowdStrike and their capabilities to ensure the safety of our digital assets. >> You wouldn't be here 'cause we, it used to be failure means fire. Is that what you mean? >> That's what I mean. I'm not going to, I don't like to use that word in my terminology, but basically failure is not an option in my job. It's just not there. >> Well, it's funny, we had Kevin Mandy on early, he was like, look I started my company in 2004 with the assumption that breaches will happen, you are going to get breached. >> Yes >> So that's why I say, I think there was a day when, if you got breached, oh, you're fired. Well that, then everybody got breached. So I think that that sentiment changing 'cause CrowdStrike saying that the unstoppable breach is a myth. Well, we're not there yet, but. >> I'd say damage control now. At least we have a little bit more control but, again, look, government is about trust. And so when you have that trust level, from my perspective, I keep a high standard and try to prevent any loss of data or any type of malicious activity from happening. I hope the mayor's listening and she doesn't fire me if anything would happen, but you know. >> You got a fun job. How'd you get into this? >> It was a great opportunity. I worked in law enforcement prior to here. I was a Deputy Police Chief in city of Irvine. I oversaw technology as part of that role. I've always loved Las Vegas, always liked the energy of the city and I had a great opportunity to apply and I applied and was lucky enough to be selected. I have a great team that supports me. >> Deputy Police Chief, it sounds like, what you just described, the technology role. You had an operations role essentially, is that right? >> Correct. And so kind of gave me a lot of insights and really helped me, as you progress in government, having different roles in your portfolio makes you a little bit more adaptive and it's kind of, it helps in, especially now with so much video and cameras prevalent in cities, having that law enforcement role, understanding a little of the legal aspects and understanding some of the, what law enforcement wants kind of makes that bridge from technology to the actual end user. >> A really interesting story, Michael. Thanks so much for sharing on theCUBE, appreciate it. >> Thank you for having me here. >> You're very welcome. All right, keep it right there. Dave Nicholson and Dave Vellante will be back from Las Vegas at the Aria from Fal.Con 22. You're watching theCUBE. (outro music)

Published Date : Sep 20 2022

SUMMARY :

for the city of Las Vegas. for coming to theCUBE. but so thank you for hosting us. and it's exciting to see Yeah, the city is booming. in the United States to Despite the grid, you know. Now, of course you have But a lot of the things that we're excited you heard it here first. but in the outside areas of the city. sort of the gold standard So a lot of the times I It's not the autonomous And how about the data? A lot of data now is computed at the edge of the actual amount of data And a lot of that is built upon data into the broader state So it's focused internal on the employees So what do you do with Crowd? So what do you do with CrowdStrike? We deployed the product Is that what you mean? like to use that word you are going to get breached. that the unstoppable breach is a myth. And so when you have that trust How'd you get into this? of the city and I had a the technology role. of the legal aspects and Thanks so much for sharing from Las Vegas at the

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave NicholsonPERSON

0.99+

Dave VellantePERSON

0.99+

NevadaLOCATION

0.99+

Dave VellantePERSON

0.99+

2004DATE

0.99+

Michael SherwoodPERSON

0.99+

2017DATE

0.99+

CaliforniaLOCATION

0.99+

VegasLOCATION

0.99+

DavePERSON

0.99+

John RosePERSON

0.99+

Kevin MandyPERSON

0.99+

Las VegasLOCATION

0.99+

IrvineLOCATION

0.99+

MichaelPERSON

0.99+

Dell TechnologiesORGANIZATION

0.99+

BostonLOCATION

0.99+

opendata.lasvegasnevada.govOTHER

0.99+

iPhoneCOMMERCIAL_ITEM

0.99+

United StatesLOCATION

0.99+

OneQUANTITY

0.99+

todayDATE

0.99+

CrowdStrikeORGANIZATION

0.99+

next yearDATE

0.99+

first cityQUANTITY

0.98+

oneQUANTITY

0.98+

two gentlemenQUANTITY

0.98+

twoQUANTITY

0.98+

FaceTimeTITLE

0.98+

firstQUANTITY

0.98+

first citiesQUANTITY

0.97+

CrowdStrikeTITLE

0.97+

five years laterDATE

0.97+

Fal.Con 22EVENT

0.96+

Fremont StreetLOCATION

0.96+

first weekQUANTITY

0.94+

day twoQUANTITY

0.94+

over 40,000 conventions per yearQUANTITY

0.94+

LyftORGANIZATION

0.93+

one winQUANTITY

0.93+

firstsQUANTITY

0.92+

one cityQUANTITY

0.86+

AriaLOCATION

0.85+

top 15QUANTITY

0.8+

pandemicEVENT

0.8+

CrowdStrike Fal.Con 2022EVENT

0.79+

CISOORGANIZATION

0.77+

CrowdTITLE

0.68+

CUBEORGANIZATION

0.67+

two yearsQUANTITY

0.63+

theCUBEORGANIZATION

0.57+

VellantePERSON

0.56+

Michael Dell, Dell Technologies | Dell Technologies World 2021


 

(upbeat music) >> In 1946, the acerbic manager of the Dodgers, Leo the Lip Durocher famously said of baseball, great Mel Ott who was player manager of the Giants at the time. You know what happens to nice guys. They finished in last place. The phrase nice guys finish last was born. It became popular outside of baseball. Well joining me today is someone who was a consummate gentlemen and a nice guy who proves that idiom absolutely isn't true at all. He's also written a new book "Play nice and Win" Michael Dell chairman and CEO of Dell technologies, welcome back to the CUBE. >> Thank you very much, Dave, always great to be with you. Wonderful to be on the CUBE and thanks for your great coverage of Dell technologies world. >> Yeah. We're very excited to be covering the virtual version this year, next year we're back face to face I'm Sure. And we're going to talk about your book but I want to start by asking you to comment on the past 12 months, how are you going to remember 2020? >> I'm going to remember it by the resiliency of the world and our team, the adaptability the acceleration of digital transformation which is pretty amazing around the world. The vital role that technology played in addressing some of the biggest challenges, whether it was the creation of vaccines or, you know, decoding the virus itself or just addressing all the challenges that the world had. You know, I think it's a game changer in terms of disease identification and how we prevent these kinds of things going forward. You know, there's still a long way to go in terms of how do we get 7.5 billion people vaccinated and safe. I also think it exposed, you know some of the fault lines in our society. And that's a great learning for all of us in terms of access to healthcare and education and, you know, the digital resources that power the world. And so, yeah, those are some of the things that really stand out for me. >> Well, I mean, I think leaders like yourself and position of influence, absolutely passionate about some of those changes that we see coming in society. So hopefully we'll have time to talk about that but I wanted to get into the business. I think a lot of people, myself included felt that 2020 was going to be a down year for big tech companies like yours and that relied heavily on selling products that data centers and central offices but the remote work trend and the laptop, boom offset, some of those on-prem softness and headwinds combined with VMware the financial performance of Dell technologies was actually quite amazing. Why were you able to do so well last year? >> Well, first of all, you're right. We did, we had record pretty much everything record revenues, record operating income, record cashflow and be also paid down a record amount of debt. And so I think the strength and resiliency of our supply chain, as well as the broad diversified nature of what we provide our customers continue to serve us very well as they moved to this sort of do anything from anywhere in the world. And it continues the first part of this year, business is very strong >> You know, a few weeks ago, of course you officially announced the spinoff of Dell technologies. Wasn't a huge surprise but the 81% equity ownership of VMware are you worried about untethering VMware from Dell or maybe you can share more on what this means for the future of, your two companies and your customers. >> Right? So, I think this will drive additional growth opportunities for both Dell Tech and VMware, while it unlocks a lot of value for our stakeholders. What we've done is to formalize the commercial relationship into a series of agreements and those are unique and differentiated and they provide lots of flexibility and we've driven a tremendous amount of innovation together and that's going to continue and it will, one of the things we said back in 2015 you'll remember is our commitment to keep the VMware ecosystem open and independent and working across the whole industry. We've done that. You'll continue to see us innovate together with Edge solutions, certainly all the great work we've done with VxRail SD LAN, you know Tanzu creates this platform to modernize applications and VMware Cloud and Dell technologies are the easy path to a multi-cloud architecture. And, that continues to work super well and is not going to be slowed down at all. So... and of course, I'll continue to be a chairman of both companies and we're not selling VMware we're distributing our ownership to our shareholders. >> Well, of course, Dell is the largest sort channel if you will, for VMware. So that's ... you guys got a tight relationship but I want to ask you about digital transformation and everybody talked about it pre COVID but nobody really knew exactly what it was but COVID sort of brought that into focus very quickly. If you weren't a digital business, you were out of business. So going forward, how do you see that whole digital transformation playing out? >> You know I think the plot of any company is to figure out how it can use its data and turn that into insights and outcomes and better results and ultimately competitive advantage faster. And as you said, you know, if it's not able to do that, it's probably going to go out of business. And that agenda just got massively accelerated because it was kind of digital was sort of the only thing that worked during this, this past period. So every organization has figured out that technology is not the IT department, it's actually the fulcrum of progress in the entire company. And so we're seeing sort of across the board a dramatic acceleration in the investment in digital technologies, you know, Edge is growing very fast. I think 5G just accelerates this and, you know you're seeing it in all the demand trends. It's quite positive and, you know, I think you'll see even a more rapid separation from those companies that are able to take advantage of this and quickly adjust their businesses their organizations, and those that are >> You better hop on board or get left behind, you know, the Edge. You mentioned the Edge it's a little bit like digital transformation, you know kind of pre COVID and even post COVID. It means a lot of things to a lot of different people but the telecoms transformation and 5G they have there certainly real. How do you see the Edge? >> You know, the Edges is ... think of it as actually the real world, right? It's, not a data center sitting in the center of the universe somewhere. And look today, you know only 10% of data is processed outside of the data center, but, you know, it's estimated by 2025 you got 75% of enterprise data will be processed outside of a traditional data center or a Cloud. And so as everything becomes intelligent connected 5G accelerates that it's going to be a huge acceleration of this whole process of digital transformation. And you know, again, think about this. I mean, the cost of making something intelligent used to be really expensive. Now it's asymptotically approaching zero. And of course all those things are connected. They're talking to each other and exactly what does this mean for every industry. Nobody's really quite sure and not everything is going to work, but, you know we're seeing it in manufacturing, in retail, in healthcare and the growth on the Edge is really accelerating in a meaningful way. And it's not so much about, you know people talking people with machines, we know how to do that. Now it's about the thing right And, you know you've got like 200 billion arm processors, you know out there in the last couple of years, all those things talking to the other things, generating data it happens in the real world. That's what the Edge is. >> Yeah as you know, we're a big fans of the arm model. And I think it just presents huge opportunities for companies like Dell. I want to ask you about Cloud. And I have to say, I think, you know companies like Dell have been maybe a little bit defensive over the last several years when it comes to Cloud but I think you starting to see the Cloud as a gift with all that CAPEX that's being built out by these hyperscalers. You know, thank you. It seems to me, you can build on top of that. How are you thinking about the Cloud as an opportunity for you and your customers especially as the definition of Cloud evolves? >> Well, first, you know, what we see is and the Edge is kind of the third place or the third premise, right? You got Clouds in the public form, you've got the Colo which is really growing fast and, you know the private hybrid Clouds, and now you've got the Edge. And so you've got infrastructure all over the place with Edge being the fastest growing. You know, one of the big things we see is that customers want a consistent way to operate and execute across that whole platform. And, you know, one of the other things that we've been focused on at Dell technologies is how can we move our business to more of a service and subscription on demand and provide customers that flexibility to to pay as they consume. And so, to some extent this is an evolution of, you know, products to services to managed services, to everything as a service. And so, you know, looking at our balance sheet you'll see over $40 billion in remaining performance obligations as we moved the business to that kind of model and it's been growing double digits for several quarters in a row. And so, you know, we're embracing Cloud and on-demand, and as a service, and obviously here at Dell technologies world we're talking a lot about Apex and our continuing initiatives to move our whole business in that direction. >> Yeah. Apex is a real accelerator for that model. I want to switch topics a little bit. I got a long list of things I want to talk about ESG, sustainability, inclusion, you know, is another topic that, that I'm interested in. I want it. And I said before, people like yourself in a position of influence to influence public policy and obviously the employees and your ecosystem why is it not just the right thing to do? Why is... why are those things good business, Michael? >> Well, it's good business because people want to be part of something that is important and purposeful. You know, it's not just make a profit and earn a living right? You know, people want to be inspired and feel that they're part of something special. And look, I think if you look at the positive changes that have occurred in the world certainly you could turn on the news and see the horrible things that happened in the last 24 hours or something like that. But if you step back and think about the amazing progress that's happened in the last several decades, you know a lot of it's been driven by technology and by businesses that have stepped up and made a difference and made commitments. And, you know, we're one of those companies that has made a series of commitments you know, 10 years ago, we set out with our 2020 goals. We accomplished significant majority of those retired those. Now we set out our progress made real 2030 goals all around the ESD themes. And it's not only the right thing to do but it is good for business. It inspires our team members, our customers and I think initiatives like progress made real at Dell and thousands of other companies. Ultimately, those are the things that are going to drive progress forward. I believe, you know, more so than government edicts or regulation, those can play a role. But I think, companies voluntarily driving things like the circular economy and how we include everyone in our business and provide opportunities for everyone to succeed no matter where they come from. I think those are the things that are really going to drive the world forward. >> Well, I want to ask you about public policy because as you say, it's not just the government, but of course sometimes the government can get in the way. You're seeing a lot of vitriol around Val break up big tech but the same time, you're seeing the US government and the EU very willing to help out with the semiconductor competitiveness in the like I know you were tapped with the new administration President Biden, tapping, you know, the best minds in tech and you were asked to part sort of participate give feedback. What can you tell us about, you know your advice to the US government? >> Well, you know, lots of great discussion with the new administration and it's a delight to see that they're focused on semiconductors and sort of the industries of the future. This is a big deal. I mean, you know, we've got some big global competitors out there other nations that are with a deterministic strategy very focused on the industries of the future. But US, you know if you think about the atomic age and, you know the Apollo missions that created the whole semiconductor industry ARPANET and ultimately the Internet and that kind of stopped right there, you know, there wasn't as much government investment in some of those big R and D initiatives that really drove an enormous creation of industries and success for the United States and its citizens. And so I think focusing on semiconductors and how you build the infrastructure of the future really important for the United States to continue to be a leader in that you know, we were, you know, producing a one point about 37% of the world's semiconductors. It's now down to 12% and dropping and really important that more investments are made in that area. It's a combination of capital, talent, you know education knowledge, and also, you know, the policies that promote the development of these kinds of businesses. >> Yah well, Pat's got a very big challenge ahead of them. And so that's why but we've said Intel's too strategic to fail in our view but I wanted to plug your book a little bit. My former boss, you and I have talked about this. He was also a gentleman who proved Leo Durocher wrong. He was very nice guy, but also a winner, Play Nice But Win, why did you decide to write another book? >> Well, you know, Dave, a lot has happened in the last 20 years and especially the last nine or so years since we went private and, you know merged with EMC and VMware and went public again. And, you know, I'd say we... first of all, you know when I wrote the first book in 1998 I wasn't comfortable disclosing a lot. And, and I wasn't vulnerable enough and didn't feel, you know, able to do that. Now I do, you know, I'm older, you know hopefully a little wiser. And so I think everybody's going to like hearing some of the fun stories about not only my childhood but you know, the dorm room and beyond, and leading up to, you know the pivotal changes that have occurred the last decade my alligator wrestling with Carl Icahn and other, you know there's lots of fun stories in there. I got arrested one time. It was only for speeding tickets, don't worry but you know, lots of fun. I'm really looking forward to the book coming out and being able to talk about it. >> I can't wait. You know, I've said many times anybody who could beat the great icon is interesting to me. I wanted to ask you, I mentioned my old boss, Pat McGovern. I used to say to them all the time, "Pat how come you don't buy more companies?" And he'd say," Dave, you know the vast majority of acquisitions and mergers they failed to meet their objectives." Did you ever imagine, I mean... I did the EMC acquisition. Did... how could it not have exceeded your expectations? I wonder if you could give us your final thoughts on that. >> You know, and I talk about this a lot in the book. I mean, these are kind of the ultimate considered decisions. And in the case of the EMC combination it was something that we had thought about going back to 2008, 2009. And then, you know, started thinking about it in 2014 worked on it for a full year before it got announced in 2015 and finally closed in 2016. But yeah, I mean, you know, we thought it would be great. It turned out to be even better than We thought the revenue synergies were far greater. The teams were quite energized. Customers liked what we were providing and you know it's ... and, of course the markets were supportive Right? You know, we were paying close attention to interest rates and how we could structure the merger in a attractive way. And, you know, thank goodness, lots of hard work lots of determination, you know, it's worked out quite well. >> Yeah, great commitment from the Dell team as well. Congratulations on that. Go ahead, please. >> And any adventure continues right? It's...( both chuckles) >> I can't wait to see the next chapter and I can't wait to get the book, but congratulations on that, all your tremendous success you're you are a winner and a gentleman and a friend of the CUBE, Michael Dell. Thanks so much. >> Thank you so much Dave. >> And thank you for watching. And this is the CUBE continuous coverage of Dell tech world 2021, the virtual edition. Keep it right there, right back. (upbeat music)

Published Date : May 5 2021

SUMMARY :

manager of the Dodgers, Thank you very much, Dave, on the past 12 months, of the world and our team, and the laptop, boom offset, do anything from anywhere in the world. ago, of course you officially So... and of course, I'll continue to be but I want to ask you about the plot of any company is to figure out you know, the Edge. And it's not so much about, you know It seems to me, you can and the Edge is kind of the third place and obviously the employees And it's not only the right thing to do and the EU very willing to help out and how you build the Play Nice But Win, why did you and leading up to, you know And he'd say," Dave, you know And in the case of the EMC combination from the Dell team as well. And any adventure continues right? of the CUBE, Michael Dell. And thank you for watching.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
2016DATE

0.99+

DellORGANIZATION

0.99+

2015DATE

0.99+

Michael DellPERSON

0.99+

DavePERSON

0.99+

2014DATE

0.99+

MichaelPERSON

0.99+

VMwareORGANIZATION

0.99+

Mel OttPERSON

0.99+

1998DATE

0.99+

2009DATE

0.99+

Pat McGovernPERSON

0.99+

Carl IcahnPERSON

0.99+

2008DATE

0.99+

75%QUANTITY

0.99+

EMCORGANIZATION

0.99+

1946DATE

0.99+

EUORGANIZATION

0.99+

two companiesQUANTITY

0.99+

next yearDATE

0.99+

2025DATE

0.99+

last yearDATE

0.99+

thousandsQUANTITY

0.99+

81%QUANTITY

0.99+

GiantsORGANIZATION

0.99+

over $40 billionQUANTITY

0.99+

Dell TechnologiesORGANIZATION

0.99+

2030DATE

0.99+

first bookQUANTITY

0.99+

2020DATE

0.99+

ApexORGANIZATION

0.99+

10 years agoDATE

0.99+

Leo DurocherPERSON

0.99+

Play Nice But WinTITLE

0.99+

both companiesQUANTITY

0.98+

Leo the Lip DurocherPERSON

0.98+

todayDATE

0.98+

PresidentPERSON

0.98+

bothQUANTITY

0.98+

this yearDATE

0.98+

7.5 billion peopleQUANTITY

0.98+

12%QUANTITY

0.98+

one pointQUANTITY

0.98+

PatPERSON

0.97+

firstQUANTITY

0.97+

Play nice and WinTITLE

0.97+

third premiseQUANTITY

0.97+

CUBEORGANIZATION

0.97+

one timeQUANTITY

0.97+

DodgersORGANIZATION

0.97+

Dell TechORGANIZATION

0.96+

oneQUANTITY

0.96+

United StatesLOCATION

0.96+

TanzuORGANIZATION

0.96+

third placeQUANTITY

0.96+

US governmentORGANIZATION

0.95+

EdgeORGANIZATION

0.94+

zeroQUANTITY

0.94+

United StatesLOCATION

0.93+

last decadeDATE

0.92+

about 37%QUANTITY

0.92+

few weeks agoDATE

0.91+

USLOCATION

0.91+

Maureen Lonergan, AWS & Alyene Schneidewind, Salesforce | AWS re:Invent 2020


 

>>from around the >>globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. Welcome back to the Cubes Coverage Cube Virtual coverage of AWS reinvent 2020 which is also virtual. We're not in person this year. We're doing the remote interviews. But of course, getting all the stories, of course, reinvented, full of partnerships full of news. And we've got a great segment here with Salesforce and AWS. Eileen Schneider Win, who is the senior vice president of strategic partnerships, and Maureen Lundergan, director of worldwide training and certification address. Maureen Eileen. Great to see you. Thanks for coming on. And nice keynote. What's up with the partnership? Give us a quick over your lien. What's what's the Salesforce? A day was partnership. Take a minute to explain it. >>Sure, thank you. I think I'll start out by talking about how sales were thinks about strategic partnerships. So for us, it's really it starts with the customer and being where they want us to be. And we've been so fortunate to be in this relationship with AWS for over five years now. It really started out as an infrastructure based partnership as we were seeing customers start their digital transformation journeys and moved to the cloud. But what has been really exciting as we've spent more time working together and working with our customers, we have now started to move into emotion of really bringing some differentiated solutions between the number one CRM and the most broadly adopted cloud platform to market for customers, uh, in areas like productivity, security and training and certification which will talk more about in a bit Onda. Specifically, some of those solutions are service Cloud Voice Product, which we launched this summer, announced last fall, a dream force as well as our private connect product which creates great security between the AWS platform and Salesforce. >>What? Some of the impact area is actually the two clouds you mentioned CRM and Amazon. We're seeing data obviously being a part of the equation ai machine learning. Um, what's been the impact I lean to your customer specifically >>Yeah, so specifically I'd call out to areas what one is really that foundation of security. Specifically, as government regulations and data security has become more critical, we've really been able to partner together there and and that's been crucial for certain customers in certain regions as well a certain industries like government. Uh, in addition, I would call out again that service cloud voice partnership, a zoo. We see the world moving more digital. This really allows customers to go quickly and, uh, turn on. There are solutions from anywhere at any time. >>You know, I love that any time, anywhere kind of philosophy. Now more than ever. With the pandemic collaborations required more than ever, and some people are used to it. You know, I've seen more technical developers have used to working at home, but not everyone else. The workforce still needs to get the job done. So this idea of collaboration, what is the impact in for your customers and how are you guys helping them? Because I think this is a big theme of this year That's gonna not only carry over, even when the pandemics over this idea of anywhere is all about collaboration. >>Yeah, I totally agree. I mean, the exciting thing about the partnership is we've been talking digital transformation with customers for years, but I think what we saw at the beginning of this year, as we were all thrown home and forced Thio, you know, fire up our jobs from our bedrooms or our garages. It really came down to our ability to work quickly and turn on our solutions. It's and these unprecedented times, while we're going through this now, everything we're building really is the future. So it's not just the tools and technology, it's also the processes and how work is getting done that's really come into play. But again, I'll anchor back to that service blood voice solution. So for us, call centers were completely disrupted. You think of call centers and you know, pre 2020 everyone sitting in a room together, agent side by side managers, having the ability to pop over and assist with a call or managing escalation. Now that's been completely disrupted. And it's been very exciting for us to work with our customers, to reimagine what that looks like again both from a technology perspective but also from a process perspective. And along with that, you had to reimagine how employees are learning these solutions and being trained. So we're very grateful for the partnership with AWS, and we're doing some really amazing things together. >>You know this is one of my favorite things about the enablement of Cloud. But in Salesforce has been a pioneer. As you pointed out, this connectedness feature has always been there. Now more than ever, it's highlighted with call centers, not the call center more. It's the connected center. People are connecting. And I think, Maureen, I think last time you're in the Cube. A few years ago, we were talking about virtual training online, and that was pre pet pandemic. Now you're seeing surge of online training not only because people's jobs are changing and being displaced or even shut down. New roles are emerging, right? So the virtual space Virtual world digital world, there's everyone's getting more digital faster now. How has the cove in 19 changed the landscape for training and skills demand? From your perspective, I >>mean at AWS, we've been working on our virtual capabilities for a while, so we had a digital platform out. We had a great partnership, have a great partnership with Salesforce and putting content on trailhead. We had to pivot very rapidly to virtual instructor led training and also our certifications right. We were lucky that our vendors partnered with us rapidly to pivot certification toe proctor environment. And this actually has helped to expand our ability to deliver the both training and certification in locations that we may not have been able to do before. And we have seen while it slowed. Initially, we have seen such an uptake and training over the last, um, 6 to 8 months. It's been incredible. We've been working with our customers. We've been working with our partnerships like Salesforce. We've been pushing more content out. I think customers and partners air really looking for how toe upscale their employees, uh, in a in a way, that is easy for them. And so it's actually been a great surprise to see the adoption of all of our curriculum over the last couple months. >>Well, congratulations knows a lot more work to do. It's gonna get more engaging, more virtual, more rich media. But this idea of connecting lean I wanna get back to the your your thoughts earlier, um, mentioned trailhead. Maury mentioned trailhead. You guys were doing some work with the virtual training there. What? Can you tell us more about that? And how that's going so far? >>Sounds great. So trailhead is our free online learning platform. And it really started because we have a commitment to democratizing anyone's ability to enter our industry s so you could go there and both online or with our trail head go app and experience what we call trails, which our paths for learning again on different areas of knowledge and skills and technology. And late last year, we announced an incredible partnership with AWS, where we're bringing the AWS learning content and certification to trailhead. And this is really again driven by our customers to are asking us to do our part in bringing mawr of these skilled resource is into the ecosystem. But something I also wanna highlight is I feel like this moment that we're in right now has also forced everyone to reimagine how they're doing learning even businesses, how they're training their employees and again having this free platform. And the partnership with AWS has really helped us go very quickly and create a lot of impact with customers. >>I just want to say I love the trailhead metaphor because, you know, learnings nonlinear. It's asynchronous. You've got digital. So you want to take a shortcut? You gotta know the maps And I think that's, you know, people wanna learn versus the linear, you know, tracks on. And I think that's how people have been learning online. And AWS has got a data driven strategy. Marine, I want to get your take on this because as you bring content on the trailhead, can you talk about how that works? And how you working with Railhead? >>Yeah. I mean, we started conversations a couple of years ago, and I think the interesting thing is that Salesforce and AWS have a very similar philosophy about bringing education to anybody who wants it. You'll hear me talk a lot about that in my leadership talk at reinvent, but, um, we really believe that we wanna provide content where learners learn and salesforce and trailhead have this amazing captured audience. And, um, you know, we're really looking at exploring. How do we bring education to people that might not otherwise have access to it? On DSO, we started with really foundational level content, a ws Cloud, Practitioner Essentials and AWS Cloud for technical professionals. And the interesting thing is, both of those courses have been consumed. ITT's not enough to just put it out there you want people to complete the trails and we've seen such an amazing uptake on the courses with, like 85% completion rate on one of the trails and 95% completion rate on the other one. And to keep customers engage is really a credit toe. How trailhead is designed. >>You know, it's interesting. The certification people don't lose sight of the fact that that's kind of the in the end state. Then you start a new trail. I mean, this >>is >>the this is really what it's all about. Can you just share some observations that you've seen for people that are coming into this now to say, Hey, okay, what do I expect? And what are some of the outcomes? >>Yeah, I mean, first, what we're seeing is our customers are being very clear that they need more of these skills. So we're also seeing the need for Salesforce administrators out in our ecosystem. And I think with everything going on this year, it's also an opportunity for people who are looking to pivot. Their careers were moving to tech and again, this free learning platform and the content that we're bringing has been really powerful and again for us. The need for salesforce administrators and cloud practitioners out in our ecosystem are in more demand than ever. >>Maureen. From your perspective on AWS, you see a lot of the new new jobs cybersecurity, Brazilian openings. Where do you see the most needs on for training and certification? Can you highlight some of the areas that are emerging and trending, if you will? >>I would say it's interesting because what we're seeing is is both ends of the spectrum. People that are really trying to just really understand who cloud is, whether it's, ah, business leader within an organization, a finance person, a marketing person. So cloud practitioner, you know, we're seeing huge adoption and consumption on both our platform in on Salesforce. But also some other areas are security and machine learning machine learning. We have five learning paths on our digital platform. We've also extended that content out to other platforms and the consumption rate is significant. And so, you know, I think we're seeing, uh, customers consume that. But the other thing that we're doing is we're really focused on looking at who doesn't have access to education and making sure that's available. So I think the large adoption of Cloud Practitioner in Practitioner is is largely due to the other things that we're doing with programs like Restart our academic programs >>to close it out, Alina want to get your thoughts and final thoughts on the relationship and how people can find more information about this partnership and what it means. Take, take it home. >>Thank you for asking. So just like everything else we've been talking about today, we've had to reimagine how we're showing up at this event together and very exciting thing that my team has created is the AWS Virtual Park. And anyone can access that at salesforce dot com slash aws. So please go check it out. You can experience our products here from our experts and experience its innovation on your own. >>Great insight. Thanks for coming on and participating. Really appreciate Salesforce and AWS two big winning leading clouds working together Trail had great great offering. Thanks for coming on sharing the news. Appreciate >>it. Thank you. >>It's the Cube virtual covering. It was reinvent virtual. Of course. Check out all the information here All three weeks. Walter Wall coverage. I'm John Fury with the Cube. Thanks for watching

Published Date : Dec 1 2020

SUMMARY :

It's the Cube with digital coverage of AWS between the number one CRM and the most broadly adopted cloud platform to market Some of the impact area is actually the two clouds you mentioned CRM and Amazon. Yeah, so specifically I'd call out to areas what one is really that foundation So this idea of collaboration, what is the impact in for your customers and how having the ability to pop over and assist with a call or managing escalation. So the virtual space Virtual world digital world, there's everyone's getting more digital And this actually has helped to expand our ability But this idea of connecting lean I wanna get back to the your your And the partnership with AWS has really helped us go very quickly and create a lot of impact And how you working with Railhead? And the interesting thing is, both of those courses have been consumed. The certification people don't lose sight of the fact that that's kind of the in the end state. for people that are coming into this now to say, Hey, okay, what do I expect? And I think with everything going on this year, Can you highlight some of the areas that are emerging and trending, if you will? is is largely due to the other things that we're doing with programs like Restart our academic to close it out, Alina want to get your thoughts and final thoughts on the relationship and how people can find more information And anyone can access that at salesforce dot com slash aws. Thanks for coming on sharing the news. It's the Cube virtual covering.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Maureen LunderganPERSON

0.99+

AWSORGANIZATION

0.99+

MaureenPERSON

0.99+

Maureen LonerganPERSON

0.99+

AmazonORGANIZATION

0.99+

Maureen EileenPERSON

0.99+

Alyene SchneidewindPERSON

0.99+

6QUANTITY

0.99+

Eileen Schneider WinPERSON

0.99+

85%QUANTITY

0.99+

John FuryPERSON

0.99+

95%QUANTITY

0.99+

last fallDATE

0.99+

SalesforceORGANIZATION

0.99+

bothQUANTITY

0.99+

MauryPERSON

0.99+

todayDATE

0.99+

IntelORGANIZATION

0.99+

Walter WallPERSON

0.99+

over five yearsQUANTITY

0.98+

8 monthsQUANTITY

0.98+

oneQUANTITY

0.98+

firstQUANTITY

0.98+

late last yearDATE

0.98+

ThioPERSON

0.97+

this yearDATE

0.97+

AlinaPERSON

0.97+

CubeCOMMERCIAL_ITEM

0.97+

ITTORGANIZATION

0.95+

MarinePERSON

0.95+

trailheadORGANIZATION

0.95+

pandemicsEVENT

0.95+

trail head goTITLE

0.94+

SalesforceTITLE

0.93+

this summerDATE

0.93+

two cloudsQUANTITY

0.93+

three weeksQUANTITY

0.92+

pandemicEVENT

0.9+

five learning pathsQUANTITY

0.85+

last couple monthsDATE

0.84+

beginning of this yearDATE

0.83+

couple of years agoDATE

0.82+

BrazilianOTHER

0.81+

wsORGANIZATION

0.81+

few years agoDATE

0.79+

DSOORGANIZATION

0.79+

19QUANTITY

0.76+

RailheadTITLE

0.74+

two big winningQUANTITY

0.74+

Cubes Coverage Cube VirtualCOMMERCIAL_ITEM

0.73+

both endsQUANTITY

0.71+

A dayQUANTITY

0.68+

salesforceORGANIZATION

0.66+

CloudTITLE

0.66+

Practitioner EssentialsTITLE

0.63+

Invent 2020EVENT

0.63+

2020TITLE

0.63+

petEVENT

0.62+

Virtual ParkCOMMERCIAL_ITEM

0.56+

TrailPERSON

0.56+

reinvent 2020EVENT

0.54+

Breaking Analysis: COVID-19 Takeaways & Sector Drilldowns Part II


 

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all >>around the world. This is a cube conversation, Everyone. Welcome to this week's Cube insights, powered by ET are My name is Dave Volante, and we've been reporting every week really on the code. 19. Impact on Budgets Docker Korakia is back in with me soccer. It's great to see you really >>again for having >>your very welcome. Soccer is, of course, the director of research, that we are our data partner and man. I mean, you guys have just been digging into the data or a court reiterate We're down, you know, roughly around minus 5% for the year. The thing about what we're doing here and where they want to stress in the audience that that's going to change. The key point is we don't just do ah, placeholder and update you in December. Every time we get new information, we're going to convey it to you. So let's get right into it. What we want to do today is you kind of part two from the takeaways that we did last week. So let's start with the macro guys. If you bring up the first chart, take us through kind of the top three takeaways. And just to reiterate where we're at >>Yeah, no problem. And look, as you mentioned, uh, what we're doing right now is we're collecting the pulse of CIOs. And so things change on and we continue to expect them to change, you know, in the next few weeks, in the next few months, as things change with it. So just kind of give a recap of the survey and then kind of going through some of our top macro takeaways. So in March mid March, we launched our Technology Spending Intention Survey. We had 1250 CIOs approximately. Take that survey. They provided their updated 2020 verse 2019 spending intentions, right? So effectively, they first Davis, those 20 21st 19 spending intentions in January. And then they went ahead and up state of those based on what happened with move it and then in tandem with that, we did this kind of over 19 drill down survey where we asked CEOs to estimate the budget impact off overnight in versus what they originally forecast in the year. And so that leads us to our first take away here, where we essentially aggregated the data from all these CIOs in that Logan 19 drill down survey. And we saw a revision of 900 basis points so down to a decline of 5%. And so coming into the year, the consensus was about 4% growth. Ah, and now you can see we're down about 5% for the year. And again, that's subject to change. And we're going again re measure that a Z kind of get into June July and we have a couple of months under our belt with the folks at night. The second big take away here is, you know, the industries that are really indicating those declines and spend retail, consumer airlines, financials, telco I key services in consulting. Those are the verticals, as we mentioned last week, that we're really seeing some of the largest Pullbacks and spend from consumers and businesses. So it makes sense that they are revising their budgets downwards the most. And then finally, the last thing we captured that we spoke about last week as well as a few weeks before that, and I think that's really been playing out the last kind of week in 1/2 earnings is CIOs are continuing to press the pedal on digital transformation. Right? We saw that with Microsoft, with service now last night, right, those companies continued the post good numbers and you see good demand, what we're seeing and where those declines that we just mentioned earlier are coming from. It's it's the legacy that's the on premise that your place there's such a concentration of loss and deceleration within some of those companies. And we'll kind of get into that more a Z go through more slides. But that's really what kind of here, you know, that's really what we need to focus on is the declines are coming from very select vendors. >>Yeah, and of course you know where we were in earning season now, and we're paying close attention to that. A lot of people say I just ignore the earnings here, you know, you got the over 19 Mulligan, but But that's really not right. I mean, obviously you want to look at balance sheets, you want to look at cash flows, but also we're squinting through some of the data your point about I t services and insulting is interesting. I saw another research firm put out that you know, services and consulting was going to be OK. Our data does, you know, different. Uh, and we're watching. For instance, Jim Kavanaugh on IBM's earnings call was very specific about the metrics that they're watching. They're obviously very concerned about pricing and their ability. The book business. There we saw the cloud guys announced Google was up in the strong fifties. The estimate is DCP was even higher up in the 80% range. Azure, you know, we'll talk about this killing it. I mean, you guys have been all over of Microsoft and its presence, you know, high fifties aws solid at around 34% growth from a larger base. But as we've been reporting, you know, downturns. They've been they've been good to cloud. >>That's right. And I think, you know, based on the data that we've captured, um, you know, it's people are really pressing the pedal on cloud and SAS with this much remote work, you need to have you know, that structure in place to maintain productivity. >>Okay, let's bring up the next slide. Now. We've been reporting a lot on this sort of next generation work loads Bob one Dato all about storage and infrastructures of service. Compute. There's an obviously some database, but there's a new analytics workload emerging. Uh, and it's kind of replacing, or at least disinter mediating or disrupting the traditional e d ws. I've said for years. CDW is failed to live up to its expectations of 360 degree insights and real time data, and that's really what we're showing here is some of the traditional CDW guys are getting hit on Some of the emerging guys, um, are looking pretty good. So take us through what we're looking at here. Soccer. >>Yeah, no problem. So we're looking at the database data warehousing sector. What you're looking at here is replacement rates. Um And so, as example, if you see up in with roughly 20% replacement, what that means is one out of five people who took the survey for that particular sector for that vendor indicated that they were replacing, and so you can see here for their data. Cloudera, IBM, Oracle. They have very elevated and accelerating replacement rates. And so when we kind of think about this space. You can really see the bifurcation, right? Look how well positioned the Microsoft AWS is. Google Mongo, Snowflake, low replacements, right low, consistent replacements. And then, of course, on the left hand side of the screen, you're really seeing elevated, accelerating. And so this space is It kind of goes with that theme that we've been talking about that we covered last week by application, right when you think about the declines that you're seeing and spend again, it's very targeted for a lot of these kind of legacy legacy vendors. And we're again. We're seeing a lot of the next gen players that Microsoft AWS in your post very strong data. And so here, looking within database, it's very clear as to which vendors are well positioned for 2020 and which ones look like they're being ripped out and swapped out in the next few months. >>So this to me, is really interesting. So you know, you you've certainly reported on the impact that snowflake is having on Terra data. And in some of IBM's business, the old man, he's a business. You can see that here. You know, it's interesting. During the Hadoop days, Cloudera Horton works when they realize that it didn't really make money on Hadoop. They sort of getting the data management and data database and you're seeing that is under pressure. It's kind of interesting to me. Oracle, you know, is still not what we're seeing with terror data, right, Because they've got a stranglehold on the marketplace That's right, hanging in there. Right? But that snowflake would no replacements is very impressive. Mongo consistent performer. And in Google aws, Microsoft AWS supports with Red Shift. They did a one time license with Park Cell, which was an MPP database. They totally retooled a thing. And now they're sort of interestingly copycatting snowflake separating compute from storage and doing some other moves. And yet they're really strong partners. So interesting >>is going on and even, you know, red shift dynamodb all. They all look good. All these all these AWS products continue screen Very well. Ah, in the data warehousing space, So yeah, to your point, there's a clear divergence of which products CIOs want to use and which ones they no longer want in their stack. >>Yeah, the database market is very much now fragment that it used to be in an Oracle db two sequel server. As you mentioned, you got a lot of choices. The Amazon. I think I counted, you know, 10 data stores, maybe more. Dynamodb Aurora, Red shift on and on and on. So a really interesting space, a lot of activity in that new workload that I'm talking about taking, Ah, analytic databases, bringing data science, pooling into that space and really driving these real time insights that we've been reporting on. So that's that's quite an exciting space. Let's talk about this whole workflow. I t s m a service now. Just just announced, uh, we've been consistently crushing it. The Cube has been following them for many, many years, whether, you know, from the early days of Fred Luddy, Bruce Lukman, the short time John Donahoe. And now Bill McDermott is the CEO, but consistent performance since the AIPO. But what are we actually showing here? Saga? Yeah, You bring up that slot. Thank you. >>So our key take away on kind of the i t m m i t s m i t workflow spaces. Look, it's best in breed, which is service now, or some of the lower cost providers. Right There's really no room for middle of the pack, so >>this is an >>interesting charts. And so what you're looking at here, there's a few directives, so kind of walk you through it and then I'll walk through. The actual results is we're looking within service now accounts. And so we're seeing how these companies are doing within or among customers that are using service. Now, today, where you're looking at on the ex, access is essentially shared market share our shared customers, and then on the Y axis you're seeing essentially the spend velocity off those vendors within service. Now's outs, right? So if the vendor was doing well, you would see them moving up into the right, right? That means they're having more customer overlap with service now, and they're also accelerating Spend, but you can see if you will get zendesk. If you look at BMC, it's a managed right. You can see there either losing market share and spend within service now accounts or they're losing spend right and zendesk is another example Here, Um, and what's actually interesting is, and we've had a lot of anecdotal evidence from CIOs is that look they start with service. Now it's best in breed, but a few of them have said, Look, it's got expensive, Um, and so they would move over Rezendes. And then they would look at it versus a conference that last year, and we had a few CEO say, Look at last quarter of the price of zendesk. Andi moved away from Zendesk and subsequently well, with last year. And so it's just it's interesting that, you know, during these times where you know CIOs are reducing their budgets on that look, it's either best of breed or low cost. There's really no room in the middle, and so it's actually kind of interesting. In this space, it's It's an interesting dynamic and being usually it's best of breed or low cost. Rarely do you kind of see both win, and I think that's what kind of makes the space interesting. >>I've been following service now for a number of years. I just make a few comments there. First of all, you know, workday was the gold standard in enterprise software for the longest time and, you know, company and and and I I always considered service now to be kind of part of that you know Silicon Valley Mafia with Frank's Loop. But what's happened is, you know, Sluman did a masterful job of identifying the total available market and executing with demand, and now you know, his successors have picking it beyond there. You know, service now has a market cap that's not quite double, but I mean, I think workday last I checked was in the mid thirties. Service now is market valuation is up in the 60 billion range. I mean, they announced, um uh, just recently, very interestingly, they be expectations. They lowered their guidance relative to consensus guide, but I think the street hose, first of all, they beat their numbers and they've got that SAS model, that very predictable model. And I think people are saying, Look there, just leaving meat on the bone so they can continue to be because that's been their sort of m o these last several years. So you got to like their positioning and you get to talk to customers. They are pricey. You do hear complaints about that, and they've got a strong lock spec. But generally I got my experiences. If people can identify business value and clear productivity, they work through the lock in, you know, they'll just fight it out in the negotiations with procurement. >>That's right, and two things on that. So with service now and and even Salesforce, right, they are a platform like approach type of vendors right where you build on them. And that's what makes them such break companies, right? Even if they have, you know, little nicks and knacks here and there. When they report people see past that right, they understand their best of breed. You build your companies on the service now's and the sales forces of the world. And to the second point, you're exactly right. Businesses want to maintain consistent productivity on, and I think that, you know, is it kind of resonates with the theme, right, doubling down on Cloud and sas. Um, as as you have all this remote work, as you have kind of, you know, questionable are curating marquee a macro environment organizations want to make sure that their employees continue to execute that they're generating consistent productivity. And using these kind of best of breed tools is the way to go. >>It's interesting you mentioned, uh, salesforce and service now for years I've been saying they're on a collision course we haven't seen yet because they're both platforms. I still, uh I'm waiting for that to happen. Let's bring up the next card and let's get into networking way talk. Um Ah. Couple of weeks ago, about the whole shift from traditional Mpls moving to SD win. And this sort of really lays it out. Take us through the data here, please. >>Yeah, no problem. So we're just looking at a handful of vendors here. Really? We're looking at networking vendors that have the highest adoption rates within cloud accounts. And so what we did was we looked inside of aws azure GCC, right. We essentially isolated just those customers. And then we said which networking vendors are seeing the best spend data and the most adoptions within those cloud accounts. And so you get you can kind of see some, uh, some themes here, right? SD lan. Right. You can see Iraqi their VM. Where nsx. You see some next gen load balance saying are they're on the cdn side right then. And so you're seeing a theme here of more next gen players on You're not really seeing a lot of the mpls vendors here, right? They're the ones that have more flattening, decreasing and replacing data. And so the reason just kind of going on this slide is you know, when you kind of think about the networking space as a whole, this is where adoptions are going. This is this is where spends billing and expanded, arise it. And what we just talked about >>your networking such a fascinating space to me because you got you got the leader and Cisco That has helped 2/3 of the market for the longest time, despite competitors like Arista, Juniper and others trying to get in the Air Force and NSX. And the big Neisseria acquisition, you know, kind of potentially disrupted that. But you can see, you know, Cisco, they don't go down without a fight. And ah, there, let's take a look at the next card on Cdn. You know, this is interesting. Uh, you know, you think with all this activity around work from home and remote offices, there's a hot area, But what are we looking at here? >>Yeah, no problem. And that's right, right? You would think. And so we're looking at Cdn players here you would think with the uptake in traffic, you would see fantastic. That scores right for all the cdn vendor. So what you're looking at here and again there's a few lenses on here, so I kind of walk. You kind of walk the audience through here is first we isolated only those individuals that were accelerating their budgets due to work from home. Right. So we've had this conversation now for a few weeks where support employees working from home. You did see a decent number of organizations. I think it was 20 or 30% of organizations at the per server that indicated they're actually accelerate instead. So we're looking at those individuals. And then what we're doing is we're seeing how are how's Cloudflare and aka my performing within those accounts, right? And so we're looking at those specific customers and you could just see within Cloudflare and we practice and security and networking which by more the Cdn piece, How consistent elevated the date is right? This is spend in density, right? Not overall market share is obviously aka my you know, their brand father CD ends. They have the most market share and if you look at optimized to the right. Now you can see the spend velocity is not very good. It's actually negative across boats sector. So you know it's not. We're not saying that. Look, there's a changing of the guard that's occurring right now. We're still relatively small compared talk my But there's just such a start on trust here and again, it kind of goes to what we're talking about. Our macro themes, right? CIOs are continuing to invest in next gen Technologies, and better technologies on that is having an impact on some of these legacy. And, you know, grandfather providers. >>Well, I mean, I think as we enter this again, I've said a number of times. It's ironic overhead coming into a new decade. And you're seeing this throughout the I T. Stack, where you've got a lot of disruptors and you've got companies with large install bases, lot of on Prem or a lot of historical legacy. Yeah, and it's very hard for them to show growth. They often times squeeze R and D because they gotta serve Wall Street. And this is the kind of dilemma they're in, and the only good news with a comma here is there is less bad security go from negative 20% to a negative 8% net score. Um, but wow, what a what a contrast, but to your point, much, much smaller base, but still very relevant. We've seen this movie before. Let's let's wrap with another area that we've talked about. What is virtualization? Desktop virtualization? Beady eye again. A beneficiary of the work from home pivot. Um, And we're focused here, right on Fortune 500 net scores. But give us the low down on this start. >>Yeah, So this is something that look, I think it's it's pretty obvious to into the market you're seeing an uptake and spend across the board versus three months ago in a year ago and spending, etc. Among your desktop virtualization players, there's FBI, right? So that's gonna be your VPN right now. Obviously, they reported pretty good numbers there, so this is an obvious slide, but we wanted to kind of throw it in there. Just say, look, you know, these organizations are seeing nice upticks incent, you know, within the virtualization sectors, specifically within Fortune 500 again, that's kind of, you know, work from home spend that we're seeing here, >>right? So, I mean, this is really a 100% net score in the Fortune 500 for workspaces is pretty amazing. And I think the shared in on this that the end was actually quite large. It wasn't like single digits, Many dozens. I remember when Workspaces first came out, it maybe wasn't ready for prime time. But clearly there's momentum there, and we're seeing this across the board saga. Thanks so much for coming in this week. Really appreciate it. We're gonna be in touch with with you with the TR. We're gonna continue to report on this, but start Dr stay safe. And thanks again. >>Thanks again. Appreciate it. Looking for to do another one. >>All right. Thank you. Everybody for watching this Cube insights Powered by ET are this is Dave Volante for Dr Sadaaki. Remember, all these episodes are available as podcasts. I published weekly on wiki bond dot com Uh, and also on silicon angle dot com Don't forget tr dot Plus, Check out all the action there. Thanks for watching everybody. We'll see you next time. Yeah, yeah, yeah, yeah, yeah

Published Date : Apr 30 2020

SUMMARY :

It's great to see you really you know, roughly around minus 5% for the year. And so things change on and we continue to expect them to change, you know, A lot of people say I just ignore the earnings here, you know, you got the over 19 Mulligan, And I think, you know, based on the data that we've captured, um, So take us through what we're looking at here. and so you can see here for their data. So you know, you you've certainly reported on the impact that snowflake is is going on and even, you know, red shift dynamodb all. I think I counted, you know, 10 data stores, maybe more. So our key take away on kind of the i t m m i t s m i And so it's just it's interesting that, you know, you know, workday was the gold standard in enterprise software for the longest time and, you know, productivity on, and I think that, you know, is it kind of resonates with the theme, It's interesting you mentioned, uh, salesforce and service now for years I've been saying they're on a collision And so the reason just kind of going on this slide is you know, when you kind of think about the networking space as And the big Neisseria acquisition, you know, kind of potentially disrupted that. And so we're looking at Cdn players here you would think with the uptake in traffic, of the work from home pivot. specifically within Fortune 500 again, that's kind of, you know, work from home spend that we're seeing it. We're gonna be in touch with with you with the TR. Looking for to do another one. We'll see you next time.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Jim KavanaughPERSON

0.99+

IBMORGANIZATION

0.99+

Dave VolantePERSON

0.99+

Bruce LukmanPERSON

0.99+

MicrosoftORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

OracleORGANIZATION

0.99+

20QUANTITY

0.99+

CiscoORGANIZATION

0.99+

Bill McDermottPERSON

0.99+

John DonahoePERSON

0.99+

JanuaryDATE

0.99+

DecemberDATE

0.99+

AmazonORGANIZATION

0.99+

80%QUANTITY

0.99+

AristaORGANIZATION

0.99+

100%QUANTITY

0.99+

5%QUANTITY

0.99+

AWSORGANIZATION

0.99+

2020DATE

0.99+

1250 CIOsQUANTITY

0.99+

last weekDATE

0.99+

Fred LuddyPERSON

0.99+

60 billionQUANTITY

0.99+

JuniperORGANIZATION

0.99+

Palo AltoLOCATION

0.99+

second pointQUANTITY

0.99+

BostonLOCATION

0.99+

last yearDATE

0.99+

CloudflareTITLE

0.99+

NSXORGANIZATION

0.99+

mid thirtiesDATE

0.99+

Cube StudiosORGANIZATION

0.99+

oneQUANTITY

0.99+

FBIORGANIZATION

0.99+

ZendeskORGANIZATION

0.99+

ClouderaORGANIZATION

0.99+

10 data storesQUANTITY

0.99+

June JulyDATE

0.99+

five peopleQUANTITY

0.99+

two thingsQUANTITY

0.99+

NeisseriaORGANIZATION

0.99+

zendeskORGANIZATION

0.99+

8%QUANTITY

0.99+

both platformsQUANTITY

0.99+

360 degreeQUANTITY

0.99+

three months agoDATE

0.99+

900 basis pointsQUANTITY

0.98+

todayDATE

0.98+

RezendesORGANIZATION

0.98+

this weekDATE

0.98+

BMCORGANIZATION

0.98+

last nightDATE

0.98+

SadaakiPERSON

0.98+

a year agoDATE

0.98+

30%QUANTITY

0.98+

firstQUANTITY

0.97+

March mid MarchDATE

0.97+

about 4%QUANTITY

0.97+

about 5%QUANTITY

0.97+

first chartQUANTITY

0.96+

20%QUANTITY

0.96+

doubleQUANTITY

0.96+

FirstQUANTITY

0.95+

Docker KorakiaPERSON

0.95+

ETORGANIZATION

0.95+

one time licenseQUANTITY

0.95+

2019DATE

0.95+

LoopORGANIZATION

0.94+

around 34%QUANTITY

0.94+

AndiPERSON

0.94+

DavisPERSON

0.94+

BobPERSON

0.94+

SlumanPERSON

0.93+

CDWORGANIZATION

0.93+

Park CellORGANIZATION

0.92+

CubeORGANIZATION

0.91+

first takeQUANTITY

0.91+

Keynote Analysis | Cisco Live EU Barcelona 2020


 

>>Live from Barcelona, Spain. It's the Cube covering Cisco Live 2020 right to you by Cisco and its ecosystem partners. >>Welcome to the Cube's live coverage here in Barcelona, Spain, for Cisco Live 2020. I'm John Furrier, host of the Cube Dave Volante Ecosystem Minimum here all week in Barcelona, kicking off 2020 With the keynote analysis, Cisco just unveiled their looks like their plan for the year and what looks like a future direction of Cisco again. We were here past two years covering Cisco Live. We'll be at the US show this year as well. David Stew Keynote analysis. Let's get into it right away. Mostly you start to still see the messaging Positioning unfolding in front of us is clearly not there yet. A lot of people have their check boxes that rotation David get kicked it off. I mean, when we kicked it off David gentler key executive, really leading the charge here. But this is about Cisco setting the table. Let's get into it. What do you guys think? I thought it was a good keynote. I thought was a little bit lacking in the story, telling what was the thread was no common thread. Heard a lot of little cloud. I heard a lot of sis card, a lot of speeds and feeds. Everyone kind of has their turn, and all the top people were on there. What's your thoughts? >>Well, who is? Cisco was my first thought. Is your kid coming out of college? You hear that keynote, which I agree was good keynote. But I still wouldn't be sure exactly what Cisco does on. And so I think that you're right, that messaging needs to be tightened up. There needs to be a threat. At the same time, we saw some innovation. They sort of double down on the December announcements and talked about that. I really liked the collaboration that that's been a sleepy market zoom change that woke everybody up. And so we saw some interesting features. Their stuff on app d. They made a lot of claims, which I don't know if they're true or not. It seemed like VM Ware could do some of that stuff and new relic and some of the others dynatrace. But Cisco is coming at it from a networking area of strength, and, um so I guess my bottom line is, I still wanna understand what that threat is, and they talked about multi cloud. I really do think that Cisco is in the best position to connect those clouds to on Prem and Hybrid. They've got the data from the network, and they're in the best position to leverage that for value for their customers. Kind of came through, but I think it's my inference, not their claim. I was >>a little surprised. A This third year we've done this show, and usually there's, you know, the new tag line, and they were reusing the bridge to possible and feels still where things are coming together. Francisco, as you and John were saying, some of the products moving together. So it's awesome chatter on Twitter said, Oh, great Inter site and Empty, actually going to integrate and work well together on that integration messages, one that Cisco's highlighting Cisco's always had a really broad ecosystem. They put up the video about like, you know, if you know the Internet and everything you've done, we've been there, and we're going to drive that for the next generation in the collaboration space. It's not the same WebEx that you've known forever heck, you know, we're gonna have Microsoft with teams and WebEx trying to squint through that a little bit and say, Okay, well, Cisco's got a bunch of devices. Is that all it is? Is, you know, being saying great. You know, I've got Cisco Devices and therefore, if I'm you know, teams customer for Microsoft, I can plug into that. It seems like there's a lot of inter networking pieces underneath the covers there because Microsoft driving hard in that space. Zoom as you said Dave, for the quick, easy experience that that came out of Cisco. So a lot of things moving in the collaboration space. But in the hardcore data, says center space workload Optimizer is something that they were focused on. Talk about the new router Jonathan Davidson, who we'll have on the Cube tomorrow, talking about that space. So Cisco's got a very broad portfolio, and John, I think you nailed it. I did not come out of it. A consistent You know who Cisco is. The message for how we're going to partner with in the future. >>The day bring up a good point college kid looks at This is a good way to kind of zoom out of the technical world. Remember, David Gettler is a technical person. He ran engineering. He sees his big marketing word is multi domain. Come on, Multi domain is not a marketing word. It's just it's a technical feature, but >>this is a >>technical show and a lot of their audience here at the show. We are techies, and so it's clear to me that Cisco's brick by brick building the sass ification, the cloud ification of Cisco and this is something. I think they're not yet ready to pull the switch on Dave as to use a sailing analogy as they attack into the marketplace. They got to do a full turn on the boat. I think this is just the progression. I think it's natural to see Cisco spending millions of billions of dollars as we heard cloud defying and creating this subscription business model. The other notable things is you start to see some tell signs from the keynote, a few little things and I picked up out of this that shows that they're kind of going in the right direction. Still a lot more work to do, and the story needs to be up leveled a bit. I totally agree, rather than just speeds and feeds the classic enterprise. But Wendy hit it clearly. Business model is the new killer app, and I think all the things that we've discussed over the past 10 years to past five, in particular with Cloud Native is the business outcomes is what the APS are focused on. And so they're headlining the event with APP application dynamics, which makes sense. But it's not clear enough that the business model is the key to everything, and you're gonna connect businesses what Cisco does. I mean, what a Cisco Date. They connect business that's been their their mission. From day one, they >>got to take that message, bring it >>up with the applications, are driving business model changes and results. And I think that's the thread they're trying to get through and trying to thread the needle. They're they're just not ready. >>See, from an umbrella messaging standpoint, I think that would have been a lot more effective. But some of the things that I liked in the keynote, you know, Wendy Mars did talk about the importance of privacy, how Europe is leading in diversity. So so that is really important. And they also talked about how last decade was all about enabling APS. And this decade is going to be all about enabling APs and to your point, about enabling business. John. They talked a lot about bringing I t an OT together lists, and Tony really made a big point of that. When we walked into The DEV. Net zone, there was all these network engineers looking at an I O T presentation, these air I t guys trying to learn about the edge in OT. And so I think that's a really important message to the collaboration front. You know, some neat, neat features I just wanted to mention. But my understanding is that Microsoft Teams is all about taking its the old Skype business, which has, like, fallen off a cliff because everybody hates Skype and migrating at the team so they can compete more effectively with WebEx and the rest of them. So again, a lot of different parts of Cisco, but I think there was some definite innovation there, and then when I talked about they're December announcements the optics, the silicon one and the software bringing that together, you know, that is going to power service providers for the next 5 10 years, >>we'll do. I want to get your thoughts here because one of the things that we're observing and they've got hit with teams is that they're kind of groping a little bit on areas. Everyone's gonna get their time on stage. I get that. You know, the comment I made yesterday in our pre game day zero analysis was that there needs to be a Tesla of this industry and to completely change the game. So I think Cisco, if they take the business, we're connecting businesses and looking for a business model. Change is we're gonna look for the engine of the of the car of the application of the company and then what it ISS. So Cisco as a company, is the car, the engines were there, the weaknesses. So if you look at Cisco, all they do is talk about the engine and the features of the Pistons and all the technical speeds and feeds. That's great, but at the end of the day it's a new environment on the business front and I think they got to get that kind of conversion and bring that together Because, of course, they have to check the boxes on. Look, we've got a new engine. We've got new clouds modification. This is where it's at, but it's the destination that you're driving to, which is a business model Outcomes. So, you know, under the hood, are they there? So it seems to be they're still trying to get the engine fixed, and then they could roll out >>one of the things when we always look at all of these keynotes is Are they effectively letting customers tell their story? And does that resonate with what they're talking about? For the piece I saw, I only saw two customers. There was a video with Michael Bay, Great special effects. And actually, you know, I thought it kind of resonated because it's like, Okay, you know, I've got 10 locations shooting around the world and you know, there's terror, bits of information. He's like, I don't even know what a terabyte. It sounds like a dinosaur. And of course, all the networking like Ha ha. You know, you do cool exploding stuff, but you don't know what a terabyte is. And then they had Airbus and Dave, you talked about. Listen, Tony got up on stage and look at it and ot they don't play well together and that's we've done research, looking at the challenge of really delivering on I ot it is that schism between I T and OT and I would have loved to hear a little bit more because she said, Oh well, our tools just enable ot to work on anything. It's not that easy. Just >>well, I throw >>those two worlds >>together, key their security, and we're talking about securing critical infrastructure and really, that's a whole new opportunity in realm. I mean, it kind of came through, but But that's the linchpin is really securing that critical infrastructure, whether it's power plants, it roads, all kinds of logistics and a >>lot of one on Dave. I mean, this is the whole point about Cisco's challenges. One from a story standpoint is complex from a technology integration standpoint complex because you got application awareness, which is going down to the network. And then they showed a lot of that, and I thought that was a key highlight that didn't actually come through, but they did present it. They got the clarification story And then they got network automation all those things, as well as five g around the corner. Silicon One is a lot coming >>together. Nailed that, I mean, no doubt, >>a lot coming together. And I think the key is Is that Scott? Harold nailed it. I think we get clearer and the team are right on the money. On terms of the engine is intent based networking. Multi domain. Is that to me means multi cloud and hybrid. Nail that, and you can get those kinds of innovations. And I think Scott Harrell said it. Simplification is key security and inclusive of the cloud that one word to use, he said. We're talking about something that's inclusive of cloud. He really slam Cloud, he said. You know, it's a fancy place. It's Nirvana. But don't forget the intent of having the on premise basically. So I thought that was a nice thread, the three layers of insight security business in I T. But to me it's simple. I think Cisco needs to think differently around how they position themselves, because if they're going to throw WebEx out there and throw out all these analytics and data, they're a data company. They're a data first company, and they have to be a video first company of its five G. And they got to be a virtual first company because the new future workplace is about having those kinds of workloads running those kinds of app set, you know, feed the modern enterprise. And to me, my premise is, if you can automate it, it's not a feature for the modern modern enterprise has. Automation will be critical of everything, and you can't have bloated software running virtual first environment. >>But to your point, Cisco's advantage is that the data is running through the network, so they have visibility on that data. So they are in a very good position to leverage that data for automation and to connect businesses. Networks of data video is killer feature for that. I mean, they really are the only company right now in the business that can do that. >>Yeah, actually, I like the analogy. They said you should think of the network as a sensor. This is what's going to be able to drive your insight and outcomes. It's not just the plumbing anymore, but you know, that's one of the earliest areas where we drove analytics and data out of everything that's going on and set them up for that machine learning and AI world that people are driving toe extract data >>and to your point on cloud. I mean, look it. They know that you sort of reference that the cloud is slowly eating away at their opportunity because I T practitioners will tell you what the more we do in the cloud, the less we're gonna have to spend on our own network year. >>Yeah, but here's the thing that's coming out. And during the SD win section, I was making some comments >>on >>YouTube channel. SD Win is really, to me, a bellwether of how this goes because latency matters. If you're in the Cisco ecosystem, it's late in the late latency. And if the win is the new land, which is my premise than the interactions with security between the routes becomes critical, right? So you have to have that kind of insight. So we look at something like Web experiences on the collaboration side is that product truly defined for that environment? And I think you mentioned Zoom earlier as kind of waking everyone up is they've built a product around latency and around the environment around land, not the land. So WebEx and desktop is not the state of the art. So unless you got an NVIDIA graphics card designed into it and gaming rig, it's gotta be mobile. It's gonna be over a land link for virtual. And I think if the software to bloated, it's not gonna work. And I think that's gonna be an area that Cisco is going to look at and say, Does these products fit this new use case? >>Okay, so let's say three days of coverage, right? We did. Day Zero is actually four days of coverage for us. We got a lot of good guests coming on. A lot of Cisco execs. What >>are you guys looking for? This. Let's go look at the week we had a lot of guests coming on. Dave's do. What are you guys looking for? In terms of analysis? What are you looking to tease out of the show? >>Well, like any of these shows, I'm really trying to look at the substance, trying to understand the announcements that they're making, how real they are and how they map into the customer's view of what it is that they need. I say the collaboration thing is interesting to me. I was really concerned about Cisco. I thought they were just sort of sitting on their laurels. I think they're WebEx install Base is gonna really look hard at these features. If they're in fact, they're available. I want to understand from practitioners and particularly service providers, You know what they think of all this new stuff that's coming out cause it's expensive. But that's a big, big cap ex investment for these guys. And I want understanding the core Cisco business, their their data center business, their networks. They're hyper converged where they stand competitively. And the last thing is the partner ecosystem. You know, we've talked about how they have to walk a fine line between, you know, servicing guys like IBM and Netapp and then also competing with their former great partner in EMC now Dell, EMC, and how they're gonna go forward in the next 10 years. >>Yeah, you touched on the partner ecosystem and service riders. Edge is the next big opportunity for Cisco, and how will they leverage what they're doing to support all of those partners? going forward. Big thing I'm looking for this week as well as a Z you said Dave. Maturation of a lot of the pieces that they add. Where's the substance behind the announcements that they've made? How much of them are table stakes that we see some of the other environs? Collaboration Space John. As you said, Oh, here's these things on the desktop I could do all these things on my phone was so trying to understand what is differentiated >>awesome for me I'm looking for actually, we're in the Dev Net Zone Cube. I'm looking for the developer equations that came up clear, kind of last with Susie Wee. But she put the new world of developers that's going to change the whole CC certification area and on the ecosystem. And for the developers, it's a C I O T. D and a center Inter site an umbrella. Outside of that, I'm gonna be looking for how Cisco is looking at cloud ification of networking network as a service way into Cloud versus internal SD win simplification of the edge security and networking common policy to name a few know talk a WiFi. I mean, WiFi is the preferred connectivity point inside the enterprise. And how does that relate to the whole edge thing? Application awareness. I really jazzed up by app D and I think where they're going with that is really gonna be the front end of that network policy. And that application awareness is critical on finally network automation from See I CD pipeline into analytics and how that relates to Fixed Wireless the five G, which is going to be I o. T. In the subscription based model. So yeah, to me, that's the That's the big picture. I want to dig into those areas >>that you are the things if I May 1 is this gestalt of, um, I'm gonna buy best of breed or am I going to buy from, you know, one throat to choke? And I think Cisco is obviously trying to be the ladder, and I think the last for me. Security, security, security. And how is Cisco going to help practitioners implement the best security possible? >>Yeah. And John John mentioned in the DEV. Net zone. It is that modernization of the workforce, one of the last things in the keynote they want, accelerate the 1st 500 certified definite engineers out there. So what Sisi Iea's had been doing for many decades, many of them in the future are going to be part of that dev net with security being one of the key areas that we focus >>on. And, of course, we're the top story that so far out of the keynote to me, the top story so far is that Cisco is not gonna yield to the big cloud guys, They're brick by brick moving the needle on their rebooting of their products to be cloud enabled for hybrid. And then ultimately, in multi cloud. And I still think the big switches coming. They haven't pull that lever. They haven't yet made a big move, I think a lot more to come. So we're gonna be digging in to the guys. Thanks for the analysis. Keynote analysis here. Day one of Cisco live in Barcelona kicking off in setting the agenda for 2020. It's the cube coverage. I'm John for Stu Minima Dave Volante. We'll be right back with more live coverage after this short break. >>Yeah, yeah, yeah

Published Date : Jan 28 2020

SUMMARY :

It's the Cube covering I'm John Furrier, host of the Cube Dave Volante Ecosystem Minimum here all week in Barcelona, I really liked the collaboration that that's been a sleepy But in the hardcore data, says center space workload Optimizer is something that they were focused Remember, David Gettler is a technical person. But it's not clear enough that the business model is the key to everything, And I think that's the thread they're trying to get through and trying to thread the needle. But some of the things that I liked in the keynote, you know, Wendy Mars did talk about the importance of privacy, a new environment on the business front and I think they got to get that kind of one of the things when we always look at all of these keynotes is Are they effectively letting customers but But that's the linchpin is really securing that critical infrastructure, They got the clarification story And then they got network automation Nailed that, I mean, no doubt, I think Cisco needs to think differently around how I mean, they really are the only company right now in the business that can do that. It's not just the plumbing the less we're gonna have to spend on our own network year. And during the SD win section, I was making some comments And I think if the software to bloated, We got a lot of good guests coming on. Let's go look at the week we had a lot of guests coming on. I say the collaboration thing is interesting to me. Maturation of a lot of the pieces that they add. And for the developers, it's a C I O T. D and a center Inter site And I think Cisco is obviously trying to be the ladder, in the future are going to be part of that dev net with security being one of the key areas that we focus And I still think the big switches coming.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
EMCORGANIZATION

0.99+

CiscoORGANIZATION

0.99+

DellORGANIZATION

0.99+

JohnPERSON

0.99+

TonyPERSON

0.99+

IBMORGANIZATION

0.99+

John FurrierPERSON

0.99+

BarcelonaLOCATION

0.99+

David GettlerPERSON

0.99+

HaroldPERSON

0.99+

Susie WeePERSON

0.99+

DavidPERSON

0.99+

DavePERSON

0.99+

MicrosoftORGANIZATION

0.99+

Michael BayPERSON

0.99+

SkypeORGANIZATION

0.99+

DecemberDATE

0.99+

yesterdayDATE

0.99+

NVIDIAORGANIZATION

0.99+

David StewPERSON

0.99+

three daysQUANTITY

0.99+

Dave VolantePERSON

0.99+

two customersQUANTITY

0.99+

Jonathan DavidsonPERSON

0.99+

four daysQUANTITY

0.99+

Wendy MarsPERSON

0.99+

Barcelona, SpainLOCATION

0.99+

May 1DATE

0.99+

John JohnPERSON

0.99+

ScottPERSON

0.99+

NetappORGANIZATION

0.99+

10 locationsQUANTITY

0.99+

Scott HarrellPERSON

0.99+

David gentlerPERSON

0.99+

FranciscoPERSON

0.99+

one wordQUANTITY

0.98+

OneQUANTITY

0.98+

2020DATE

0.98+

first thoughtQUANTITY

0.97+

TeslaORGANIZATION

0.97+

TwitterORGANIZATION

0.97+

this weekDATE

0.97+

YouTubeORGANIZATION

0.97+

tomorrowDATE

0.96+

WebExORGANIZATION

0.96+

Sisi IeaPERSON

0.96+

Day oneQUANTITY

0.96+

Teresa Carlson, AWS Worldwide Public Sector | AWS re:Invent 2019


 

>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Welcome back to the Cube. Here live in Las Vegas for aws reinvent I'm John for a devil on the ads, always extracting the signal from the noise. We're here for 1/7 reinvent of the eight years that they've had at what a wave. One of the biggest waves is the modernization of procurement, the modernization of business, commercial business and the rapid acceleration of public sector. We're here with the chief of public sector for AWS. Teresa Carlson, vice president publics that globally great to have you >>so great to have the Q begin this year. We appreciate you being here, >>so we're just seeing so much acceleration of modernization. Even in the commercial side, 80 talks about transformation. It's just a hard core on the public sector side. You have so many different areas transforming faster because they haven't transformed before. That's correct. This is a lot of change. What's changed the most for you in your business? >>Well, again, I'll be here 10 years this mad that A B s and my eighth reinvent, and what really changed, which was very exciting this year, is on Monday. We had 550 international government executives here from 40 countries who were talking about their modernization efforts at every level. Now again, think about that. 40 different governments, 550 executives. We had a fantastic day for them planned. It was really phenomenal because the way that these international governments or think about their budget, how much are they going to use that for maintaining? And they want to get that lesson last. Beckett for Modernization The Thin John It's a Beckett for innovation so that they continue not only modernized, but they're really looking at innovation cycles. So that's a big one. And then you heard from somewhere customers at the breakfast this morning morning from from a T. F. As part of the Department of Justice. What they're doing out. I'll call to back on firearms. They completely made you the cloud. They got rid of 20 years of technical debt thio the Veterans Administration on what they're digging for V A benefits to educational institutions like our mighty >>nose, and he had on stages Kino, Cerner, which the health care companies and what struck me about that? I think it relates to your because I want to get your reaction is that the health care is such an acute example that everyone can relate to rising costs. So cloud helping reduce costs increase the efficiencies and patient care is a triple win. The same thing happens in public sector. There's no place to hide anymore. You have a bona fide efficiencies that could come right out of the gate with cloud plus innovation. And it's happening in all the sectors within the public sector. >>So true. Well, Cerner is a great example because they won the award at V a Veteran's administration to do the whole entire medical records modernization. So you have a company on stage that's commercial as I met, commercial as they are public sector that are going into these large modernization efforts. And as you sit on these air, not easy. This takes focus and leadership and a real culture change to make these things happen. >>You know, the international expansion is impressive. We saw each other in London. We did the health care drill down at your office is, of course, a national health. And then you guys were in Bahrain, and what I deserve is it's not like these organizations. They're way behind. I mean, especially the ones that it moved to. The clouds are moving really fast. So well, >>they don't have as much technical debt internationally. It's what we see here in the U. S. So, like I was just in Africa and you know what we talked about digitizing paper. Well, there's no technology on that >>end >>there. It's kind of exciting because they can literally start from square one and get going. And there's a really hunger and the need to make that happen. So it's different for every country in terms of where they are in their cloud journey. >>So I want to ask you about some of the big deals. I'll see Jet eyes in the news, and you can't talk about it because it's in protest and little legal issues. But you have a lot of big deals that you've done. You share some color commentary on from the big deals and what it really means. >>Yeah, well, first of all, let me just say with Department of Defense, Jet are no jet. I We have a very significant business, you know, doing work at every part of different defense. Army, Navy, Air Force in the intelligence community who has a mission for d o d terminus a t o N g eight in a row on And we are not slowing down in D. O d. We had, like, 250 people at a breakfast. Are Lantian yesterday giving ideas on what they're doing and sharing best practices around the fence. So we're not slowing down in D. O d. We're really excited. We have amazing partners. They're doing mission work with us. But in terms of some really kind of fend, things have happened. We did a press announcement today with Finn Rat, the financial regulatory authority here in the U. S. That regulates markets at this is the largest financial transactions you'll ever see being processed and run on the cloud. And the program is called Cat Consolidated Audit Trail. And if you remember the flash crash and the markets kind of going crazy from 2000 day in 2008 when it started, Finneran's started on a journey to try to understand why these market events were happening, and now they have once have been called CAT, which will do more than 100 billion market points a day that will be processed on the cloud. And this is what we know of right now, and they'll be looking for indicators of nefarious behavior within the markets. And we'll look for indicators on a continuous basis. Now what? We've talked about it. We don't even know what we don't know yet because we're getting so much data, we're going to start processing and crunching coming out of all kinds of groups that they're working with, that this is an important point even for Finn rep. They're gonna be retiring technical debt that they have. So they roll out Cat. They'll be retiring other systems, like oats and other programs that they >>just say so that flash crash is really important. Consolidated, honest, because the flash crash, we'll chalk it up to a glitch in the system. Translation. We don't really know what happened. Soto have a consolidated auto trail and having the data and the capabilities, I understand it is really, really important for transparency and confidence in the >>huge and by the way, thinner has been working with us since 2014. They're one of our best partners and are prolific users of the cloud. And I will tell you it's important that we have industries like thin red regulatory authorities, that air going in and saying, Look, we couldn't possibly do what we're doing without cloud computing. >>Tell me about the technical debt because I like this conversation is that we talk about in the commercial side and developer kind of thinking. Most businesses start ups, Whatever. What is technical debt meet in public sector? Can you be specific? >>Well, it's years and years of legacy applications that never had any modernization associated with them in public sector. You know now, because you've talked about these procurement, your very best of your very savvy now public sector >>like 1995 >>not for the faint of heart, for sure that when you do procurement over the years when they would do something they wouldn't build in at new innovations or modernizations. So if you think about if you build a data center today a traditional data center, it's outdated. Tomorrow, the same thing with the procurement. By the time that they delivered on those requirements. They were outdated. So technical debt then has been built up years of on years of not modernizing, just kind of maintaining a status quo with no new insides or analytics. You couldn't add any new tooling. So that is where you see agencies like a T F. That has said, Wow, if I'm gonna if I'm gonna have a modern agency that tracks things like forensics understands the machine learning of what's happening in justice and public safety, I need to have the most modern tools. And I can't do that on an outdated system. So that's what we kind of call technical death that just maintains that system without having anything new that you're adding to >>their capabilities lag. Everything's products bad. Okay, great. Thanks for definite. I gotta ask you about something that's near and dear to our heart collaboration. If you look at the big successes in the world and within Amazon Quantum Caltex partnering on the quantum side, you've done a lot of collaboration with Cal Cal Poly for ground station Amazon Educate. You've been very collaborative in your business, and that's a continuing to be a best practice you have now new things like the cloud innovation centers. Talk about that dynamic and how collaboration has become an important part of your business model. >>What we use their own principles from Amazon. We got building things in our plan. Innovation centers. We start out piloting those two to see, Could they work? And it's really a public private partnership between eight MPs and universities, but its universities that really want to do something. And Cal Poly's a great example. Arizona State University A great example. The number one most innovative university in the US for like, four years in a row. And what we do is we go in and we do these public sector challenges. So the collaboration happens. John, between the public sector Entity, university with students and us, and what we bring to the table is technical talent, air technology and our mechanisms and processes, like they're working backwards processes, and they were like, We want you to bring your best and brightest students. Let's bring public sector in the bowl. They bring challenges there, riel that we can take on, and then they can go back and absorb, and they're pretty exciting. I today I talked about we have over 44 today that we've documented were working at Cal Poly. The one in Arizona State University is about smart cities. And then you heard We're announcing new ones. We've got two in France, one in Germany now, one that we're doing on cybersecurity with our mighty in Australia to be sitting bata rain. So you're going to see us Add a lot more of these and we're getting the results out of them. So you know we won't do if we don't like him. But right now we really like these partnerships. >>Results are looking good. What's going on with >>you? All right. And I'll tell you why. That why they're different, where we are taking on riel public sector issues and challenges that are happening, they're not kind of pie in the sky. We might get there because those are good things to do. But what we want to do is let's tackle things that are really homelessness, opioid crisis, human sex trafficking, that we're seeing things that are really in these communities and those air kind of grand. But then we're taking on areas like farming where we talked about Can we get strawberries rotting on the vine out of the field into the market before you lose billions of dollars in California. So it's things like that that were so its challenges that are quick and riel. And the thing about Cloud is you can create an application and solution and test it out very rapidly without high cost of doing that. No technical Dan, >>you mentioned Smart Cities. I just attended a session. Marty Walsh, the mayor of Boston's, got this 50 50 years smart city plan, and it's pretty impressive, but it's a heavy lift. So what do you see going on in smart cities? And you really can't do it without the cloud, which was kind of my big input cloud. Where's the data? What do you say, >>cloud? I O. T is a big part at these. All the centers that Andy talked about yesterday in his keynote and why the five G partnerships are so important. These centers, they're gonna be everywhere, and you don't even know they really exist because they could be everywhere. And if you have the five G capabilities to move those communications really fast and crypt them so you have all the security you need. This is game changing, but I'll give you an example. I'll go back to the kids for a minute at at Arizona State University, they put Io TI centers everywhere. They no traffic patterns. Have any parking slots? Airfield What Utilities of water, if they're trash bins are being filled at number of seats that are being taken up in stadiums. So it's things like that that they're really working to understand. What are the dynamics of their city and traffic flow around that smart city? And then they're adding things on for the students like Alexis skills. Where's all the activity? So you're adding all things like Alexa Abs, which go into a smart city kind of dynamic. We're not shop. Where's the best activities for about books, for about clothes? What's the pizza on sale tonight? So on and then two things like you saw today on Singapore, where they're taking data from all different elements of agencies and presenting that bad to citizen from their child as example Day one of a birth even before, where's all the service is what I do? How do I track these things? How do I navigate my city? to get all those service is the same. One can find this guy things they're not. They're really and they're actually happening. >>Seems like they're instrumented a lot of the components of the city learning from that and then deciding. Okay, where do we double down on where do we place? >>You're making it Every resilient government, a resilient town. I mean, these were the things that citizens can really help take intro Web and have a voice in doing >>threes. I want to say congratulations to your success. I know it's not for the faint of heart in the public sector of these days, a lot of blockers, a lot of politics, a lot of government lockers and the old procurement system technical debt. I mean, Windows 95 is probably still in a bunch of PCs and 50 45 fighters. 15 fighters. Oh, you've got a great job. You've been doing a great job and riding that wave. So congratulations. >>Well, I'll just say it's worth it. It is worth it. We are committed to public sector, and we really want to see everyone from our war fighters. Are citizens have the capabilities they need. So >>you know, you know that we're very passionate this year about going in the 2020 for the Cube and our audience to do a lot more tech for good programming. This'll is something that's near and dear to your heart as well. You have a chance to shape technology. >>Yes, well, today you saw we had a really amazing not for profit on stage with It's called Game Changer. And what we found with not for profits is that technology can be a game changer if they use it because it makes their mission dollars damage further. And they're an amazing father. And send a team that started game changer at. Taylor was in the hospital five years with terminal cancer, and he and his father, through these five years, kind of looked around. Look at all these Children what they need and they started. He is actually still here with us today, and now he's a young adult taking care of other young Children with cancer, using gaming technologies with their partner, twitch and eight MPs and helping analyze and understand what these young affected Children with cancer need, both that personally and academically and the tools he has He's helping really permit office and get back and it's really hard, Warren says. I was happy. My partner, Mike Level, who is my Gran's commercial sales in business, and I ran public Sector Day. We're honored to give them at a small token of our gift from A to B s to help support their efforts. >>Congratulates, We appreciate you coming on the Cube sharing the update on good luck into 2020. Great to see you 10 years at AWS day one. Still, >>it's day one. I feel like I started >>it like still, like 10 o'clock in the morning or like still a day it wasn't like >>I still wake up every day with the jump in my staff and excited about what I'm gonna do. And so I am. You know, I am really excited that we're doing and like Andy and I say we're just scratching the surface. >>You're a fighter. You are charging We love you, Great executive. You're the chief of public. Get a great job. Great, too. Follow you and ride the wave with Amazon and cover. You guys were documenting history. >>Yeah, exactly. We're in happy holidays to you all and help seeing our seventh and 20 >>so much. Okay, Cube coverage here live in Las Vegas. This is the cube coverage. Extracting the signals. Wanna shout out to eight of us? An intel for putting on the two sets without sponsorship, we wouldn't be able to support the mission of the Cube. I want to thank them. And thank you for watching with more after this short break.

Published Date : Dec 5 2019

SUMMARY :

Brought to you by Amazon Web service One of the biggest waves is the modernization of We appreciate you being here, What's changed the most for you in your And then you heard from somewhere And it's happening in all the sectors So you have a company on stage that's commercial as I met, And then you guys were in Bahrain, and what I deserve is it's not like S. So, like I was just in Africa and you know what we talked about digitizing And there's a really hunger and the need to make that happen. I'll see Jet eyes in the news, and you can't talk about it because it's I We have a very significant business, you know, doing work at every Consolidated, honest, because the flash crash, And I will tell you it's important that we have industries like thin red regulatory Tell me about the technical debt because I like this conversation is that we talk about in the commercial side and developer You know now, because you've talked about these procurement, your very best of your very savvy now public not for the faint of heart, for sure that when you do procurement over the years continuing to be a best practice you have now new things like the cloud innovation centers. and they were like, We want you to bring your best and brightest students. What's going on with And the thing about Cloud is you can create an application and solution and test So what do you see going on in smart cities? And if you have the five G capabilities to move those communications really fast and crypt Seems like they're instrumented a lot of the components of the city learning from that and then deciding. I mean, these were the things that citizens can really help take intro Web I know it's not for the faint of heart in the public Are citizens have the capabilities you know, you know that we're very passionate this year about going in the 2020 for the Cube and And what we found with not Great to see you 10 years at AWS day one. I feel like I started You know, I am really excited that we're doing and like Andy and You're the chief of public. We're in happy holidays to you all and help seeing our seventh and 20 And thank you for watching with

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Marty WalshPERSON

0.99+

WarrenPERSON

0.99+

Teresa CarlsonPERSON

0.99+

CaliforniaLOCATION

0.99+

AndyPERSON

0.99+

Mike LevelPERSON

0.99+

2008DATE

0.99+

AWSORGANIZATION

0.99+

LondonLOCATION

0.99+

AustraliaLOCATION

0.99+

FranceLOCATION

0.99+

AfricaLOCATION

0.99+

10 yearsQUANTITY

0.99+

Veterans AdministrationORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

GermanyLOCATION

0.99+

BahrainLOCATION

0.99+

20 yearsQUANTITY

0.99+

twoQUANTITY

0.99+

1995DATE

0.99+

five yearsQUANTITY

0.99+

MondayDATE

0.99+

yesterdayDATE

0.99+

Las VegasLOCATION

0.99+

TaylorPERSON

0.99+

five yearsQUANTITY

0.99+

two setsQUANTITY

0.99+

oneQUANTITY

0.99+

Arizona State UniversityORGANIZATION

0.99+

2020DATE

0.99+

U. S.LOCATION

0.99+

USLOCATION

0.99+

todayDATE

0.99+

Department of JusticeORGANIZATION

0.99+

eightQUANTITY

0.99+

40 countriesQUANTITY

0.99+

Cal PolyORGANIZATION

0.99+

seventhQUANTITY

0.99+

JohnPERSON

0.99+

10 o'clockDATE

0.99+

550 executivesQUANTITY

0.99+

2014DATE

0.99+

D. O d.LOCATION

0.99+

TomorrowDATE

0.99+

four yearsQUANTITY

0.99+

eight yearsQUANTITY

0.99+

15 fightersQUANTITY

0.99+

SingaporeLOCATION

0.99+

Department of DefenseORGANIZATION

0.99+

40 different governmentsQUANTITY

0.99+

250 peopleQUANTITY

0.99+

Finn RatORGANIZATION

0.99+

two thingsQUANTITY

0.99+

DanPERSON

0.98+

billions of dollarsQUANTITY

0.98+

tonightDATE

0.98+

bothQUANTITY

0.98+

Windows 95TITLE

0.97+

FinneranORGANIZATION

0.97+

50 50 yearsQUANTITY

0.96+

20QUANTITY

0.96+

this yearDATE

0.96+

U. S.LOCATION

0.96+

more than 100 billion market points a dayQUANTITY

0.96+

2019DATE

0.95+

this morning morningDATE

0.95+

Cal Cal PolyORGANIZATION

0.93+

OneQUANTITY

0.93+

550 international government executivesQUANTITY

0.92+

KinoORGANIZATION

0.89+

Amazon WebORGANIZATION

0.89+

eight MPsQUANTITY

0.89+

T. F.PERSON

0.88+

firstQUANTITY

0.87+

CubeCOMMERCIAL_ITEM

0.87+

Rob Thomas, IBM | IBM Data and AI Forum


 

>>live from Miami, Florida. It's the Q covering. IBM is data in a I forum brought to you by IBM. >>Welcome back to the port of Miami, Everybody. You're watching the Cube, the leader in live tech coverage. We're here covering the IBM data and a I form. Rob Thomas is here. He's the general manager for data in A I and I'd be great to see again. >>Right. Great to see you here in Miami. Beautiful week here on the beach area. It's >>nice. Yeah. This is quite an event. I mean, I had thought it was gonna be, like, roughly 1000 people. It's over. Sold or 17. More than 1700 people here. This is a learning event, right? I mean, people here, they're here to absorb best practice, you know, learn technical hands on presentations. Tell us a little bit more about how this event has evolved. >>It started as a really small training event, like you said, which goes back five years. And what we saw those people, they weren't looking for the normal kind of conference. They wanted to be hands on. They want to build something. They want to come here and leave with something they didn't have when they arrived. So started as a little small builder conference and now somehow continues to grow every year, which were very thankful for. And we continue to kind of expand at sessions. We've had to add hotels this year, so it's really taken off >>you and your title has two of the three superpowers data. And of course, Cloud is the third superpower, which is part of IBMs portfolio. But people want to apply those superpowers, and you use that metaphor in your your keynote today to really transform their business. But you pointed out that only about a eyes only 4 to 10% penetrated within organizations, and you talked about some of the barriers that, but this is a real appetite toe. Learn isn't there. >>There is. Let's go talk about the superpower for a bit. A. I does give employees superpowers because they can do things now. They couldn't do before, but you think about superheroes. They all have an origin story. They always have somewhere where they started and applying a I an organization. It's actually not about doing something completely different. It's about extenuating. What you already d'oh doing something massively better. That's kind of in your DNA already. So we're encouraging all of our clients this week like use the time to understand what you're great at, what your value proposition is. And then how do you use a I to accentuate that? Because your superpower is only gonna last if it's starts with who you are as a company or as a >>person who was your favorite superhero is a kid. Let's see. I was >>kind of into the whole Hall of Justice. Super Superman, that kind of thing. That was probably my cartoon. >>I was a Batman guy. And the reason I love that movie because all the combination of tech, it's kind of reminds me, is what's happening here today. In the marketplace, people are taking data. They're taking a I. They're applying machine intelligence to that data to create new insights, which they couldn't have before. But to your point, there's a There's an issue with the quality of data and and there's a there's a skills gap as well. So let's let's start with the data quality problem described that problem and how are you guys attacking it? >>You're a I is only as good as your data. I'd say that's the fundamental problem and organization we worked with. 80% of the projects get slowed down or they get stopped because the company has a date. A problem. That's why we introduce this idea of the A i ladder, which is all of the steps that a company has to think about for how they get to a level of data maturity that supports a I. So how they collect their data, organize their data, analyze their data and ultimately begin to infuse a I into business processes soap. Every organization needs to climb that ladder, and they're all different spots. So for someone might be, we gotta focus on organization a data catalogue. For others, it might be we got do a better job of data collection data management. That's for every organization to figure out. But you need a methodical approach to how you attack the data problem. >>So I wanna ask you about the Aye aye ladder so you could have these verbs, the verbs overlay on building blocks. I went back to some of my notes in the original Ai ai ladder conversation that you introduced a while back. It was data and information architecture at the at the base and then building on that analytics machine learning. Aye, aye, aye. And then now you've added the verbs, collect, organized, analyze and infused. Should we think of this as a maturity model or building blocks and verbs that you can apply depending on where you are in that maturity model, >>I would think of it as building blocks and the methodology, which is you got to decide. Do wish we focus on our data collection and doing that right? Is that our weakness or is a data organization or is it the sexy stuff? The Aye. Aye. The data science stuff. We just This is just a tool to help organizations organize themselves on what's important. I asked every company I visit. Do you have a date? A strategy? You wouldn't believe the looks you get when you ask that question, you get either. Well, she's got one. He's got one. So we got seven or you get No, we've never had one. Or Hey, we just hired a CDO. So we hope to have one. But we use the eye ladder just as a tool to encourage companies to think about your data strategy >>should do you think in the context I want follow up on that data strategy because you see a lot of tactical data strategies? Well, we use Data Thio for this initiative of that initiative. Maybe in sales or marketing, or maybe in R and D. Increasingly, our organization's developing. And should they develop a holistic data strategy, or should they trying to just get kind of quick wins? What are you seeing in the marketplace? >>It depends on where you are in your maturity cycle. I do think it behooves every company to say We understand where we are and we understand where we want to go. That could be the high level data strategy. What are our focus and priorities gonna be? Once you understand focus and priorities, the best way to get things into production is through a bunch of small experiments to your point. So I don't think it's an either or, but I think it's really valuable tohave an overarching data strategy, and I recommended companies think about a hub and spokes model for this. Have a centralized chief date officer, but your business units also need a cheap date officer. So strategy and one place execution in another. There's a best practice to going about this >>the next you ask the question. What is a I? You get that question a lot, and you said it's about predicting, automating and optimizing. Can we unpack that a little bit? What's behind those three items? >>People? People overreact a hype on topics like II. And they think, Well, I'm not ready for robots or I'm not ready for self driving Vehicles like those Mayor may not happen. Don't know. But a eyes. Let's think more basic it's about can we make better predictions of the business? Every company wants to see a future. They want the proverbial crystal ball. A. I helped you make better predictions. If you have the data to do that, it helps you automate tasks, automate the things that you don't want to do. There's a lot of work that has to happen every day that nobody really wants to do you software to automate that there's about optimization. How do you optimize processes to drive greater productivity? So this is not black magic. This is not some far off thing. We're talking about basics better predictions, better automation, better optimization. >>Now interestingly, use the term black magic because because a lot of a I is black box and IBM is always made a point of we're trying to make a I transparent. You talk a lot about taking the bias out, or at least understanding when bias makes sense. When it doesn't make sense, Talk about the black box problem and how you're addressing. >>That starts with one simple idea. A eyes, not magic. I say that over and over again. This is just computer science. Then you have to look at what are the components inside the proverbial black box. With Watson, we have a few things. We've got tools for clients that want to build their own. Aye, aye, to think of it as a tool box you can choose. Do you want a hammer and you want a screwdriver? You wanna nail you go build your own, aye, aye. Using Watson. We also have applications, so it's basically an end user application that puts a I into practice things like Watson assistant to virtually no create a virtual agent for customer service or Watson Discovery or things like open pages with Watson for governance, risk and compliance. So, aye, aye, for Watson is about tools. You want to build your own applications if you want to consume an application, but we've also got in bed today. I capability so you can pick up Watson and put it inside of any software product in the >>world. He also mentioned that Watson was built with a lot of of of, of open source components, which a lot of people might not know. What's behind Watson. >>85% of the work that happens and Watson today is open source. Most people don't know that it's Python. It's our it's deploying into tensorflow. What we've done, where we focused our efforts, is how do you make a I easier to use? So we've introduced Auto Way. I had to watch the studio, So if you're building models and python, you can use auto. I tow automate things like feature engineering algorithm, selection, the kind of thing that's hard for a lot of data scientists. So we're not trying to create our own language. We're using open source, but then we make that better so that a data scientist could do their job better >>so again come back to a adoption. We talked about three things. Quality, trust and skills. We talked about the data quality piece we talked about the black box, you know, challenge. It's not about skills you mention. There's a 250,000 person Gap data science skills. How is IBM approaching how our customers and IBM approaching closing that gap? >>So think of that. But this in basic economic terms. So we have a supply demand mismatch. Massive demand for data scientists, not enough supply. The way that we address that is twofold. One is we've created a team called Data Science Elite. They've done a lot of work for the clients that were on stage with me, who helped a client get to their first big win with a I. It's that simple. We go in for 4 to 6 weeks. It's an elite team. It's not a long project we're gonna get you do for your success. Second piece is the other way to solve demand and supply mismatch is through automation. So I talked about auto. Aye, aye. But we also do things like using a eye for building data catalogs, metadata creation data matching so making that data prep process automated through A. I can also help that supply demand. Miss Max. The way that you solve this is we put skills on the field, help clients, and we do a lot of automation in software. That's how we can help clients navigate this. So the >>data science elite team. I love that concept because way first picked up on a couple of years ago. At least it's one of the best freebies in the business. But of course you're doing it with the customers that you want to have deeper relationships with, and I'm sure it leads toe follow on business. What are some of the things that you're most proud of from the data science elite team that you might be able to share with us? >>The clients stories are amazing. I talked in the keynote about origin stories, Roll Bank of Scotland, automating 40% of their customer service. Now customer SATs going up 20% because they put their customer service reps on those hardest problems. That's data science, a lead helping them get to a first success. Now they scale it out at Wonderman Thompson on stage, part of big W P p big advertising agency. They're using a I to comb through customer records they're using auto Way I. That's the data science elite team that went in for literally four weeks and gave them the confidence that they could then do this on their own. Once we left, we got countless examples where this team has gone in for very short periods of time. And clients don't talk about this because they have to talk about it cause they're like, we can't believe what this team did. So we're really excited by the >>interesting thing about the RVs example to me, Rob was that you basically applied a I to remove a lot of these mundane tasks that weren't really driving value for the organization. And an R B s was able to shift the skill sets. It's a more strategic areas. We always talk about that, but But I love the example C. Can you talk a little bit more about really, where, where that ship was, What what did they will go from and what did they apply to and how it impacted their businesses? A improvement? I think it was 20% improvement in NPS but >>realizes the inquiry's they had coming in were two categories. There were ones that were really easy. There were when they were really hard and they were spreading those equally among their employees. So what you get is a lot of unhappy customers. And then once they said, we can automate all the easy stuff, we can put all of our people in the hardest things customer sat shot through the roof. Now what is a virtual agent do? Let's decompose that a bit. We have a thing called intent classifications as part of Watson assistant, which is, it's a model that understands customer a tent, and it's trained based on the data from Royal Bank of Scotland. So this model, after 30 days is not very good. After 90 days, it's really good. After 180 days, it's excellent, because at the core of this is we understand the intent of customers engaging with them. We use natural language processing. It really becomes a virtual agent that's done all in software, and you can only do that with things like a I. >>And what is the role of the human element in that? How does it interact with that virtual agent. Is it a Is it sort of unattended agent or is it unattended? What is that like? >>So it's two pieces. So for the easiest stuff no humans needed, we just go do that in software for the harder stuff. We've now given the RVs, customer service agents, superpowers because they've got Watson assistant at their fingertips. The hardest thing for a customer service agent is only finding the right data to solve a problem. Watson Discovery is embedded and Watson assistant so they can basically comb through all the data in the bank to answer a question. So we're giving their employees superpowers. So on one hand, it's augmenting the humans. In another case, we're just automating the stuff the humans don't want to do in the first place. >>I'm gonna shift gears a little bit. Talk about, uh, red hat in open shift. Obviously huge acquisition last year. $34 billion Next chapter, kind of in IBM strategy. A couple of things you're doing with open shift. Watson is now available on open shifts. So that means you're bringing Watson to the data. I want to talk about that and then cloudpack for data also on open shifts. So what has that Red had acquisition done for? You obviously know a lot about M and A but now you're in the position of you've got to take advantage of that. And you are taking advantage of this. So give us an update on what you're doing there. >>So look at the cloud market for a moment. You've got around $600 million of opportunity of traditional I t. On premise, you got another 600 billion. That's public clouds, dedicated clouds. And you got about 400 billion. That's private cloud. So the cloud market is fragmented between public, private and traditional. I t. The opportunity we saw was, if we can help clients integrate across all of those clouds, that's a great opportunity for us. What red at open shift is It's a liberator. It says right. Your application once deployed them anywhere because you build them on red hot, open shift. Now we've brought cloudpack for data. Our data platform on the red hot open shift certified on that Watson now runs on red had open shift. What that means is you could have the best data platform. The best Aye, Aye. And you can run it on Google. Eight of us, Azure, Your own private cloud. You get the best, Aye. Aye. With Watson from IBM and run it in any of those places. So the >>reason why that's so powerful because you're able to bring those capabilities to the data without having to move the date around It was Jennifer showed an example or no, maybe was tail >>whenever he was showing Burt analyzing the data. >>And so the beauty of that is I don't have to move any any data, talk about the importance of not having Thio move that data. And I want I want to understand what the client prerequisite is. They really take advantage of that. This one >>of the greatest inventions out of IBM research in the last 10 years, that hasn't gotten a lot attention, which is data virtualization. Data federation. Traditional federation's been around forever. The issue is it doesn't perform our data virtualization performance 500% faster than anything else in the market. So what Jennifer showed that demo was I'm training a model, and I'm gonna virtualized a data set from Red shift on AWS and on premise repositories a my sequel database. We don't have to move the data. We just virtualized those data sets into cloudpack for data and then we can train the model in one place like this is actually breaking down data silos that exist in every organization. And it's really unique. >>It was a very cool demo because what she did is she was pulling data from different data stores doing joins. It was a health care application, really trying to understand where the bias was peeling the onion, right? You know, it is it is bias, sometimes biases. Okay, you just got to know whether or not it's actionable. And so that was that was very cool without having to move any of the data. What is the prerequisite for clients? What do they have to do to take advantage of this? >>Start using cloudpack for data. We've got something on the Web called cloudpack experiences. Anybody can go try this in less than two minutes. I just say go try it. Because cloudpack for data will just insert right onto any public cloud you're running or in your private cloud environment. You just point to the sources and it will instantly begin to start to create what we call scheme a folding. So a skiing version of the schema from your source writing compact for data. This is like instant access to your data. >>It sounds like magic. OK, last question. One of the big takeaways You want people to leave this event with? >>We are trying to inspire clients to give a I shot. Adoption is 4 to 10% for what is the largest economic opportunity we will ever see in our lives. That's not an acceptable rate of adoption. So we're encouraging everybody Go try things. Don't do one, eh? I experiment. Do Ah, 100. Aye, aye. Experiments in the next year. If you do, 150 of them probably won't work. This is where you have to change the cultural idea. Ask that comes into it, be prepared that half of them are gonna work. But then for the 52 that do work, then you double down. Then you triple down. Everybody will be successful. They I if they had this iterative mindset >>and with cloud it's very inexpensive to actually do those experiments. Rob Thomas. Thanks so much for coming on. The Cuban great to see you. Great to see you. All right, Keep right, everybody. We'll be back with our next guest. Right after this short break, we'll hear from Miami at the IBM A I A data form right back.

Published Date : Oct 22 2019

SUMMARY :

IBM is data in a I forum brought to you by IBM. We're here covering the IBM data and a I form. Great to see you here in Miami. I mean, people here, they're here to absorb best practice, It started as a really small training event, like you said, which goes back five years. and you use that metaphor in your your keynote today to really transform their business. the time to understand what you're great at, what your value proposition I was kind of into the whole Hall of Justice. quality problem described that problem and how are you guys attacking it? But you need a methodical approach to how you attack the data problem. So I wanna ask you about the Aye aye ladder so you could have these verbs, the verbs overlay So we got seven or you get No, we've never had one. What are you seeing in the marketplace? It depends on where you are in your maturity cycle. the next you ask the question. There's a lot of work that has to happen every day that nobody really wants to do you software to automate that there's Talk about the black box problem and how you're addressing. Aye, aye, to think of it as a tool box you He also mentioned that Watson was built with a lot of of of, of open source components, What we've done, where we focused our efforts, is how do you make a I easier to use? We talked about the data quality piece we talked about the black box, you know, challenge. It's not a long project we're gonna get you do for your success. it with the customers that you want to have deeper relationships with, and I'm sure it leads toe follow on have to talk about it cause they're like, we can't believe what this team did. interesting thing about the RVs example to me, Rob was that you basically applied So what you get is a lot of unhappy customers. What is that like? So for the easiest stuff no humans needed, we just go do that in software for And you are taking advantage of this. What that means is you And so the beauty of that is I don't have to move any any data, talk about the importance of not having of the greatest inventions out of IBM research in the last 10 years, that hasn't gotten a lot attention, What is the prerequisite for clients? This is like instant access to your data. One of the big takeaways You want people This is where you have to change the cultural idea. The Cuban great to see you.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
MiamiLOCATION

0.99+

JenniferPERSON

0.99+

4QUANTITY

0.99+

IBMORGANIZATION

0.99+

Rob ThomasPERSON

0.99+

20%QUANTITY

0.99+

Royal Bank of ScotlandORGANIZATION

0.99+

40%QUANTITY

0.99+

PythonTITLE

0.99+

IBMsORGANIZATION

0.99+

$34 billionQUANTITY

0.99+

sevenQUANTITY

0.99+

RobPERSON

0.99+

EightQUANTITY

0.99+

two piecesQUANTITY

0.99+

pythonTITLE

0.99+

two categoriesQUANTITY

0.99+

250,000 personQUANTITY

0.99+

500%QUANTITY

0.99+

twoQUANTITY

0.99+

four weeksQUANTITY

0.99+

less than two minutesQUANTITY

0.99+

Second pieceQUANTITY

0.99+

AWSORGANIZATION

0.99+

last yearDATE

0.99+

Miami, FloridaLOCATION

0.99+

GoogleORGANIZATION

0.99+

Max.PERSON

0.99+

Roll Bank of ScotlandORGANIZATION

0.99+

oneQUANTITY

0.99+

next yearDATE

0.99+

OneQUANTITY

0.99+

10%QUANTITY

0.99+

Data ThioORGANIZATION

0.99+

RedORGANIZATION

0.99+

6 weeksQUANTITY

0.99+

52QUANTITY

0.98+

600 billionQUANTITY

0.98+

WatsonTITLE

0.98+

Wonderman ThompsonORGANIZATION

0.98+

one simple ideaQUANTITY

0.98+

More than 1700 peopleQUANTITY

0.98+

todayDATE

0.98+

BatmanPERSON

0.98+

about 400 billionQUANTITY

0.97+

firstQUANTITY

0.97+

IBM DataORGANIZATION

0.97+

100QUANTITY

0.97+

this yearDATE

0.97+

around $600 millionQUANTITY

0.97+

this weekDATE

0.96+

third superpowerQUANTITY

0.96+

BurtPERSON

0.96+

redORGANIZATION

0.96+

three thingsQUANTITY

0.96+

17QUANTITY

0.95+

Hall of JusticeTITLE

0.94+

SupermanPERSON

0.94+

three superpowersQUANTITY

0.94+

cloudpackTITLE

0.94+

AzureORGANIZATION

0.94+

five yearsQUANTITY

0.93+

couple of years agoDATE

0.92+

80%QUANTITY

0.91+

1000 peopleQUANTITY

0.9+

Cristina Pirola, Generali Assicurazioni & Leyla Delic, Coca Cola İçecek | UiPath FORWARD III 2019


 

>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019. Brought to you by UI path. Hello everyone and welcome >>do the cubes live coverage of UI path forward. I'm your host, Rebecca Knight, co-hosting alongside of Dave Volante. We are joined by Layla Delage. She is the chief information and digital officer at Coca-Cola. ECEK thanks so much for coming on the show. Thank you. Great to be here. Very exciting. And also Christina Perala, she is the group RPA lead at Generali. Thank you so much for coming into, for inviting me. Thank you. So I want to hear from you both about what, what your industry is and what your role is. Level. Let's start with you. Okay, great. Um, so we are, um, one of the Rogers bottlers within the Coca-Cola system. Uh, we produce, distribute and sell Coca Cola company products. The operating around 10 countries are middle East and central Asia and parts of middle East, Pakistan, Syria and Turkey. They are actually born out of Turkey and that's where our central offices, um, we've operate with 26 plants, around 8,500 employees. >>Uh, we serve a consumer base of 400 million and we have around close to 1 billion, uh, customers. Uh, and we continue to invest in the countries where we operate. And my role is to film and my role is all things digital within this community. So leading technologists, leading technology, all things digital. Yes. So Christina, tell us about Generali. Generalia. Sikora Zuni is a leading insurance company as the presidency. Enough 50 countries worldwide and more than a 70,000 employees that were wider. So it's a bigger company, not only for insurance. And my role with the internet rally group is to leader the LPA program. So I'm inside of the group that I in digital. So am I inside this group, I'm very focused on smart process automation. So RPA plus AI, because a has a, we already know all I loudly, LPA without a AI is announcer nowadays. So we have to keep on talking about AI, machine learning algorithms to enrich, uh, uh, the capabilities of basic robotic sell, hand reach, also the Antwerp and automation of processes. You're the CIO and the CDO. Yes. Yes. That's unique. First of all, there's one that's unique too. It's even more unique than a woman has both roles. So what's the reason behind it? So, um, there's definitely a reason behind it. I joined the Coca Cola >>system about a year ago, so I'm just a over a year in the company. The reason actually I wanted to make sure that we highlight the CIO and CTO CDO role together is, um, I want to advocate for all the it organizations to transform and really get into the digital world and get into the world of advanced technologies, become strategic business partners. Get out of the kitchen, I call it kitchen kitchen, it, you know, get out of the managing of data centers or cloud and um, just the core foundational systems and applications. Get into the advanced technology, understand the business, gain business acumen and deliver solutions based on business needs. So to highlight that, I want to make sure that I hold the role of both and I'm able to be advocate of both worlds. Cause digital without it support is not able to accomplish what they need to accomplish and it needs to get into more of the digital space. And Christina, as the RPA, you write bots, you evangelize the organization. >>Um, mostly the second. So in generally we have a, a very, uh, so, uh, sort of ivory the organization. So for something we are very decentralized, for example, for the developing of robots or the deploying for the action, the operational stuff and so on. Uh, but uh, for some stuff like a guidelines, uh, uh, risk framework to ensure that robots can do their work in the right way with notice to all for the business processes, uh, for this stuff before guidelines, framework, best practice sharing. We are a central centralized, we, we try to be centralized. So, uh, my role is to try to collect is to collect and not try and super lat, uh, best practices and share with you in the companies chair, uh, um, the best use cases. And, uh, also tried to gather what are the main concerns, what are the difficulties in order to a facilitator and to boost smarter process automation of the option. So >>Laila, you are up on the main stage this morning. You, I Pat highlighted Coca Cola itchy as a, as a customer that is embraced automation, embrace the UI pass solution. So tell us a little bit about the challenges you are facing and then why you chose I a UI path. So as I joined the company, uh, I introduced a very strong digital strategy that required a lot of change and it's within a company that has been very successfully operating all these years and doing pretty much know what to do very well. And all of a sudden with digital we are starting to disrupt the, are trying to say, Hey, we've got to change the way, do some of the things. Um, so belief in digital and belief that it can really bring efficiency and outcomes was very important. And I needed a quick win. I needed to have a technology or a solution or an outcome that I would generate very quickly and show to the whole organization that this can be done and we can do this as Coca-Cola. TJ. >>So that was, that was RPA, that was our PA for this fascinates me because you're an incumbent business, been around for a long time. you're a bottler and distributor, right? So yeah, processes are around the bottling plants and the distribution system. Yes. And now you're transforming into a digital business. Yes. I'll put data at your core. Totally not start his daytime customer. Okay. So describe the difference between the traditional business and what it looks like when you've transformed, particularly from a data perspective. And then I want to understand what role RPA plays. So we are definitely a very data rich company, however, to call ourselves data rich and to call it a strategic asset, I first need to capture and control my data and I have to treat it like a strategic asset. So that is a huge transformation. The second, once you treat it as an asset, how do you generate more insights? >>And I call this augmenting the gut feeling. I have an amazing gut feeling in the company. How do I augment that with data and provide our, this is partners and then our customers and our suppliers and some of the information. And then obviously future maturity level is, you know, shared economy and data monetization, et cetera. So that's how I describe within the company. And then assets, other assets like our plants and coolers cooler, we call it cooler, you know, where do you actually see all our products? They are called, they are visible and they are available, but they are also in that set where I can turn them into a digital cooler and I can do so much more with the cooler that standing. And I recently, in one of our leadership meetings I said we have as many coolers as the um, population on the fishy Island, which is close to 1 million. >>So just imagine in this new world, in this digital era, everything that you can do by just having a cooler, 1 million coolers present out there on the street, I can serve the consumers, I can serve customers with very different information. So that's kind of what I mean by turning the business into a digital business. So that's an awesome story. By the way, how does RPA fit into that vision? RPA is everywhere in division. So I said when I started the journey, uh, any digital journey has some Muslim battles for me. There are four must win battles. I need to get certain things right in it, in the, and that was one, one of the Mustin battles was alteration. So we have to create efficiency, we have to optimize, we have to streamline. And we said automation first. Um, and we started with, I call it robotics and automation. >>And I agree with what you said, Christina. It's more than just robots. It's actually a strategic application. It could be a good old ERP. It's the RPA, it's AI, it's all the other technologies that are out there that they bring the two of them brings. So how do you create this end to end solution using all the trends, technologies to create optimization? Uh, our goal was how do we get back to our customer much faster. We had so many customer facing processes and they're going to be there forever. They are a very customer centric customer into company obviously. So how do I get back to my customer faster? How do I make my employees just happy? They were working on so many things would be until midnight over time during weekends. How do I take that away from them? So we called it lifting the weight of the shoulders and giving you a new capabilities. So again, augmentation and then giving them that space. So we had uh, three of my employees upskilled and reskilled themselves. They became a developers in the robotics space, a couple of fire functional, um, colleagues are now reskilling themselves because now they have the time to reskill. More importantly, they have the time to actually leverage their expertise and they are so much more motivated. The engagement, the employee engagement is increasing. So that's how we are positioning RPA. Pristina ICU >>nodding a lot, your head too. A lot of what Layla is saying. I'm wondering if you can talk to about any best practices that have emerged as you've implemented RPA at Generali to what you've learned. Yes, for sure. Um, we have a lot of processes automated, uh, all around the group. Uh, but we are not, we have not reached our maximum or, uh, benefits, uh, gaining. So what we need to do right now is to try to boost the smart process automation, uh, via analyzing the issue around value, Cena. So each business area of the value chain because currently we have countries that has, that have a different level of maturity. So, so some countries are at the very beginning and we have to help them with best practice sharings with a huge case, successful use cases. And we are, uh, we have a lot of help from parts into, in this because locally and who I Potter as a, a very strong presence and is very powerful in doing that. >>And, uh, now, uh, our next mouth are very focused on try to, um, uh, deep dive, the vertical, our area of the issue around value chain and identify which are the processes inside them are best to automated. Uh, uh, Basinger. Uh, these activities are not so you, I part, we'd, his experience has created a heat mapper, value chain Heath mapper. And so it's given up as some advice where to focus our strengths, our hand energy in automating. And I think that this is a very huge, uh, uh, support that you are UI parties given us. So it's not just a matter of, okay, let's start, uh, uh, do some, uh, process assessment in order to identify which processes are the best candidates to be automated. But, uh, we have, uh, how our back, uh, us. So we, we are, uh, we have the backing of UI pass saying it's better to do that and automate in depth, uh, processes of that, but Oh, the value chain. So we are starting a program to do that with all the countries or the vertical area of the country. So, and I think that this could really bring a, uh, high benefits and can, uh, uh, drive us to, uh, really having a scaling up in using a smart process, automation and UI. But you a bot ecosystem not only are, so >>one of the nice things about RPA is you can take the software robots and apply them to an existing process. A lot of times changing processes and a lot of times almost always changing processes is painful. However, we've talked to some customers that have said by applying RPA to our business, it's exposed some really bad processes. Have you experienced that and can you maybe share that experience with it? Absolutely. So for us, one of the initial, um, robots, we applied to a customer facing process. It was our field team trying to get back to our customer with a, with some information. And we realize that the, um, the cycle time was very long. And the reason is there are four functions involved in answering the question and seven different applications are being touched all the way from XL to ERP to CRM. So what we did obviously bringing a strategic solution to fix the cycle time and reduce that to streamline the process was going to take us long. So RPA was great help. We reduced the cycle time by putting a robot and we were able to get back to ours, priests, sales team in the field in matter of minutes. What used to take hours was now being responded to in minutes. Now that doesn't mean that process is perfect, but that's our next step. So we created value for our customer and our sales team within the field, um, before, you know, streamlining and going into a bigger initiatives. So then you could share Christina. >>Yes. Uh, so, um, it is necessary to automate something that could be automated. So, uh, it is necessarily to out optimize the process before automating it, but sometimes it's better to automate it as Caesar because, uh, also the not optimize the process can bring value if ultimated. So let me share an example. If you, for example, have to migrate some data obviously is a one shot, uh, uh, activity. But with the robot you can do it in a very short, well sharp timer. Maybe it's not the best, uh, process to be automated, but that could be useful as well. So it's always a matter of understanding the costs and the benefits. Uh, and sometimes, uh, FBA is very quickly, is very quick to be implemented and can be, can have a, also a lot of savings instead of integrating instead of doing more complex things. >>And then other things, uh, that it's important to take into account is that, uh, uh, after having a automating goal, all the low hanging fruits and so the processes with a low cost, uh, uh, low complexity and high benefits, uh, then it starts to facer when it's necessary to understand how to the end to end processes. Because, uh, it happens, uh, in, uh, some of our countries that, uh, the second phase is very difficult because, uh, the situation is that you have very, um, a lot of very fermented processes. And so before automating it is necessary to apply operational efficiency methodology, lean six Sigma, rare business process for engineering and then automate it. So it's a longer trip. And our Amer as group head office in general is to give these kinds of methodologies and best practices for all kinds of level of maturity in our countries. So finally, w what is the customer is the employee response then in terms of how you're talking a lot about streamlining, getting rid of these tedious tasks that took forever, how, how our employees reacting to the implementation. >>So we, um, we actually launched the, uh, announce announced RPA robotics and automation with a Hekaton in our company. And we invited 40 colleagues from various functions and two and everybody from the business was there and they participated actually in gathering ideas and prioritizing what matters most to the company. And we looked at customer, we looked at compliance, we look to the employee and we actually with during the hackathon you iPad team helped us to go live with one of the robots. They were mesmerized. They couldn't believe that this could happen. I think that's where we kind of engaged them and now going forward everyone who generate the idea was part of the building of the robots so they continue to be engaged to me allowed them to name the robots so they start naming and once the robots were alive yet literally had some of our teams who are dancing from happiness and I think that said it all. That was the strongest voice of our business partner and we published that video. So our business partners became our advocates and that's really our how we born the robotic and automation within CCI. We have so many advocates right now they are coming to us. Our business partners are coming to us with more use cases and they are actually, they are sharing with rest of the system within Coca-Cola and with the group that we are part of locally in Turkey, they are sharing their stories. So now we have a hype going on in the system. >>Yes. And in generally, um, at the beginning, uh, we face some fears in our employees fears of losing their job, but fear is not be able to use this kind of technology. Uh, but, uh, also with the help of HR because I, Charlie is, uh, driving a huge program of upskilling and reskilling of people. Uh, nowadays, uh, also hand user are very happy to use robotics, uh, because, uh, uh, when they realize that they can really help in their activities, in their very boring and not useful activities, they are very happy to enjoy this, this program. But it is so, uh, it, it was a trip, a journey with the employees to make them understand that it's not something that, uh, is affecting their job. So, at least in generally group, we are, we are programming, uh, these, uh, uh, or employees, uh, journey in order to make them, uh, uh, to have more, uh, uh, awareness about robotics and not be scared about it. Layla and Christina, thank you both so much for coming on the cube. It was wonderful. Thank you very much for you. I'm Rebecca Knight for Dave Volante. Please stay tuned for more of the cubes live coverage of UI path forward.

Published Date : Oct 15 2019

SUMMARY :

Brought to you by UI path. So I want to hear from you both about what, what your industry is and what your role is. So we have to keep on talking about AI, And Christina, as the RPA, you write So in generally we have a, So as I joined the company, uh, I introduced a So describe the difference between the traditional in one of our leadership meetings I said we have as many coolers as the So we have to create efficiency, So that's how we are positioning RPA. the very beginning and we have to help them with best practice sharings with a huge So we are starting So we created value for our customer and our sales team within the field, Uh, and sometimes, uh, FBA is very quickly, the end to end processes. So now we have a hype going on in the system. the beginning, uh, we face some fears in our employees fears

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Rebecca KnightPERSON

0.99+

ChristinaPERSON

0.99+

Christina PeralaPERSON

0.99+

LaylaPERSON

0.99+

Layla DelagePERSON

0.99+

TurkeyLOCATION

0.99+

Coca-ColaORGANIZATION

0.99+

Cristina PirolaPERSON

0.99+

LailaPERSON

0.99+

Coca ColaORGANIZATION

0.99+

SyriaLOCATION

0.99+

26 plantsQUANTITY

0.99+

twoQUANTITY

0.99+

Las VegasLOCATION

0.99+

Dave VolantePERSON

0.99+

threeQUANTITY

0.99+

Leyla DelicPERSON

0.99+

40 colleaguesQUANTITY

0.99+

CharliePERSON

0.99+

second phaseQUANTITY

0.99+

PakistanLOCATION

0.99+

GeneraliORGANIZATION

0.99+

one shotQUANTITY

0.99+

seven different applicationsQUANTITY

0.99+

bothQUANTITY

0.99+

secondQUANTITY

0.99+

GeneraliaORGANIZATION

0.99+

Generali AssicurazioniORGANIZATION

0.99+

both rolesQUANTITY

0.99+

firstQUANTITY

0.98+

both worldsQUANTITY

0.98+

iPadCOMMERCIAL_ITEM

0.98+

oneQUANTITY

0.98+

around 8,500 employeesQUANTITY

0.98+

CCIORGANIZATION

0.98+

FirstQUANTITY

0.97+

1 million coolersQUANTITY

0.97+

400 millionQUANTITY

0.97+

central AsiaLOCATION

0.97+

more than a 70,000 employeesQUANTITY

0.96+

RogersORGANIZATION

0.96+

around 10 countriesQUANTITY

0.95+

each businessQUANTITY

0.95+

PristinaPERSON

0.94+

middle EastLOCATION

0.94+

2019DATE

0.94+

Coca Cola İçecekORGANIZATION

0.93+

four functionsQUANTITY

0.92+

fishy IslandLOCATION

0.87+

aroundQUANTITY

0.86+

CaesarPERSON

0.85+

this morningDATE

0.85+

BasingerPERSON

0.84+

four must win battlesQUANTITY

0.84+

AmerORGANIZATION

0.82+

ECEKORGANIZATION

0.82+

HekatonORGANIZATION

0.81+

over a yearQUANTITY

0.8+

about a year agoDATE

0.78+

AntwerpLOCATION

0.78+

1 millionQUANTITY

0.77+

Enough 50 countriesQUANTITY

0.76+

close to 1 billionQUANTITY

0.74+

Sikora ZuniORGANIZATION

0.68+

UiPathORGANIZATION

0.67+

CenaPERSON

0.67+

MuslimOTHER

0.65+

FORWARD IIITITLE

0.63+

CDOORGANIZATION

0.62+

RPATITLE

0.56+

Moritz Mann, Open Systems AG | CUBEConversations, July 2019


 

>> from our studios in the heart of Silicon Valley, Palo Alto, California. It is a cute conversation. >> Everyone. Welcome to this Special Cube conversation here at the Palo Alto Cube Studios. I'm John for a host of Cuba here. Moritz man is the head of the product management team at Open Systems A G. Great to see you again. Thanks for coming in. >> Hey, John. Thanks for having me. >> So last time we spoke, you had your event in Las Vegas. You guys are launching. You have a new headquarters here in Silicon Valley. Opened up this past spring. Congratulations. Thank you. >> Yeah, it's a great, great venue to start, and we set foot on the Silicon Valley ground. So to make our way to >> I know you've been super busy with the new building and rolling out, expanding heavily here in the Valley. But you guys were in the hottest area that we're covering Security Cloud security on premise, security. The combination of both has been the number one conversation pretty much in the cloud world right now. Honestly, besides a normal cloud, native cloud I t hybrid versus multi cloud out. See, that continues to be the discussion I think there's no more debate around multi cloud in hybrid public clouds. Great people gonna still keep their enterprises. But the security equation still is changing this new requirements. What's the latest that you guys are seeing with respect to security? >> Yeah. So, John, what we see is actually that cloud adoption had happens at different speeds. So you have usually the infrastructure of the service. Adoption would happens in a quite controlled way because there's a lift in shift. Do you have your old data center? You you take it and you transferred into azure I W S O G C P. But then there's also uncontrolled at option, which is in the SAS space. And I think this is where a lot off data risk occur, especially the wake off GDP are on where we see that this adoption happens. Maurin a sometimes control, but sometimes in a very uncontrolled way, >> explain that the uncontrolled and controlled expansion of of how security and multi cloud and cloud is going because this interesting control means this this plan's to do stuff uncontrolled means it's just by other forces explain uncontrolled versus controls >> eso controlled specifically means the IittIe team takes as a project plan and aches servers and workloads and moves them in a controlled fashion or in a dedicated project to the cloud. But what happened in the business world of business I t is actually did use those share content at any time with any device at any at any time and in all locations. So this is called the Mobile Enterprise on the Cloud First Enterprise. So it means that the classical security perimeter and the controls in that are my past, actually, by the path of least resistance or the shortest path >> available. And this is the classic case. People use Dropbox with some, you know, personal things. They're at home, they're at work, a p I based software. That's what you're getting at the >> and the issue of this is that that the data that has bean, like contained an pera meters where, you know, as it Caesar, where your data is. This has bean deployed too many edge devices, too many mobile devices, and it's get it gets shared, a nun controlled way. >> We'll get a couple talk tracks would like to drill down on that, because I think this is the trend. We're seeing a pea eye's dominant. The perimeter on the infrastructure has gone away. It's only getting bigger and larger. You got I, O. T and T Edge just and the networks are controlled and also owned by different people. So the packets of moving on it that's crazy so that that's the reality. First, talk track is the security challenge. What is the security challenge? How does a customer figure out what to do from an architectural standpoint when they're dealing with hybrid and multi cloud? So first of >> all, um, customers or BC enterprises try need to re think their infrastructure infrastructure centric view off the architecture's. So the architecture that had been built around data send us needs to become hybrid and multi cloud aware. So that means they need to define a new way off a perimeter, which is in cloud but also in the covering. Still the old, so to say, legacy hyper data center set up, which has the data still in the old data center and at the same time, they need to open up and become the cloud themselves, so to say, and but still draw a perimeter around their data and they users and not and their applications and not so much anymore around the physical infrastructure. >> So taking, changing their view of what a security product is, Is that really what you're getting at? >> Yeah, So the issues with the product point solution was that they fixed a certain part off off a tactile issue. So if you take a firewall in itself, firewall back then it was like a entry door to a big building, and you could could decide who comes out goes in. Now. If the the kind of the walls of the building are vanishing or arm or more FIC, you need to come over the more integrated concept. So having these stacked appliance and stacked security solutions trying to work together and chain them doesn't work anymore. So we think and we see that, >> Why is that? Why doesn't it work? Because in >> the end, it's it's it's hardly two to operate them. Each of those points solutions have their own end off life. They have their own life cycle. They have their own AP eyes. They have their own TCO, as all that needs to be covered. And then there's the human aspect where you have the knowledge pools around >> those technologies. So as an enterprise you have to content to continuously keep the very scar security experts to maintain content continues the depreciating assets running right, >> and they're also in it. We weren't built for tying into a holistic kind of platform. >> Yeah, What we see is that that enterprises now realize we have data centers and it's not accepted reality that you can abstracted with the cloud. So you have You don't own your own servers and buildings anymore. So you have a PAX model to subscribe to Cloud Service is and we think that this has to happen to security to so shift from cap ex to our pecs and the same way also for operational matters >> securities. The service is a crepe is a small I want to ask you on that front you mentioned mobile users. How do you secure the mobile uses when they use cloud collaboration? Because this is really what uses expect, and they want How do you secure it? >> So be secured by by actually monitoring the data where it actually gravitates, and this is usually in the cloud. So we enforce the data that is in transit through, ah, proxies and gators towards the cloud from the endpoint devices, but also then looking by AP eyes in the cloud themselves to look for threats, data leakage and also sandbox. Certain activities that happened. There >> are the next talk talk I want to get into is the expansion to hybrid and multi cloud so that you guys do from a product standpoint, solution for your customers. But in general, this is in the industry conversation as well. How how do you look at this from a software standpoint? Because, you know, we've heard Pat Gelsinger of'em were talking about somewhere to find Data Center S d n. Everything's now software based. You talk about the premiere goes away. You guys were kind of bring up a different approaches. A software perimeter? Yeah, what is the challenge for expanding to multi cloud and hybrid cloud? >> So So the challenge for enterprise and customers we talked to is that they have to run their old business. Gardner once called it by motile business, and it's still adopting not one cloud, but we see in our surveys. And this is also what market research confirms is that customers end up with 2 to 3 loud vendors. So there were will be one or two platforms that will be the primary to their major majority of applications and data gravity. But they will end up and become much more flexible with have running AWS, the old Davis Center. But it was the G, C, P and Azure, or Ali Baba glowed even side by side, right tow cover the different speeds at what their own and the price runs. And >> so I gotta ask you about Cloud Needed was one of the things that you're bringing up that just jumps in my head. And when I got to ask, because this is what I see is a potential challenge. It might be a current challenges when you have kubernetes growing such a rapid rate. You see the level of service is coming online much higher rate. So okay, people, mobile users, they're using the drop boxes, the boxes and using all these FBI service's. But that's just those wraps. As a hundreds and thousands of micro service is being stood up and Tauron down in there, you guys are taking, I think, an approach of putting a perimeter software premieres around these kinds of things, but they get turned on enough. How do you know what's clean? It's all done automatically, so this is becoming a challenge. So is this what you guys mean when you say software perimeter that you guys could just put security around things at any time? Is that explain this? >> Yeah, So? So if you talk about the service match so really mashing cloudy but native functions, I think it's still in the face where it's, I would say, chaos chaotic when you have specific projects that are being ramped up them down. So we draw a perimeter in that specific contact. So let's say you have You're ramping up a lot off cloud a function AWS. We can build a pyramid around this kind off containment and look especially for threats in the activity locks off. The different component is containers, but from from a design perspective, this needs to be, uh, we need to think off the future because if you look at Mike soft on AWS strategy, those containers will eventually move Also back to the edge. Eso were in preparing that to support those models also cover. Bring these functions closer back again to the edge on We call that not any longer the when, ej but it will become a cloud at at actually. So it's not an extension of the land that comes to the data. It's actually the data and the applications coming back to the user and much closer. >> Yeah. I mean, in that case, you could define the on premises environment has an edge, big edge, because this is all about moving, were close and data around. This is what the new normal is. Yeah, So okay, I gotta ask the next question, which is okay, If that's true, that means that kubernetes becomes a critical part of all this. And containers. How do you guys play with that at all? >> So we play with us by by actually looking at data coming from that at the moment. We're looking at this from a from a data transit perspective. We But we will further Maur integrate into their eighties AP eyes and actually become part off the C I C D. Process that building then actually big become a security function in approval and rolling out a cannery to certain service mesh. And we can say, Well, this is safe for this is unsafe This is, I think, the eventual goal to get there. But But for now, it's It's really about tracking the locks of each of those containers and actually having a parent her and segmentation around this service mash cloud. So to say, >> I think you guys got a good thing going on when you talk about this new concept that's of softer to find perimeter. You can almost map that to anything you get. Really think everything has its own little perimeter workload. Could be moving around still in these three secure. So I gotta ask on the next talk Trek is this leads into hybrid cloud. This is the hottest topic. Hybrid cloud to me is the same as multi cloud. Just kind of get together a little bit different. But hybrid cloud means you're operating both on premises and in the cloud. This is becoming a channel most si si SOS Chief admission Security officers. I don't want to fork their teams and have multiple people coding different stacks. They don't want the vendor lock in, and so you're seeing a lot of people pulling back on premises building their own stacks, deploying in the cloud and having a seamless operation. What is your definition of hybrid? Where do you see hybrid going? And how important is it? Have a hybrid strategy. >> So I think the key successfactors of a hybrid strategy is that standards standardization is a big topic. So we think that a service platform that to secure that like the SD when secure service platform rebuilt, needs to be standardized on operational level, but also from a baseline security and detection level. And this means that if you run and create your own work, those on Prem you need to have the same security and standard security and deployment standard for the clout and have the seamless security primary perimeter and level off security no matter where these these deployments are. And the second factor of this is actually how do you ensure a secure data transfer between those different workloads? And this is where S T win comes into play, which acts as a fabric together with when backbone, where we connect all those pieces together in a secure fashion >> where it's great to have you on the Q and sharing your insight on the industry. Let's get into your company. Open systems. You guys provide an integrated solution for Dev Ops and Secure Service and Security Platform. Take a minute to talk about the innovations that you guys were doing because you guys talk a lot about Casby. Talk a lot about integrated esti when but first define what Casby is for. The audience doesn't know what Casby is. C. A S B. It's kicked around all of the security conscious of your new to security. It's an acronym that you should pay attention to so defined casby and talk about your solution. >> Eso casby isn't theory. Aviation means cloud access security we broker. So it's actually becoming this centralized orchestrator that that allows and defines access based on a trust level. So saying, um, first of all, it's between networks saying I have a mobile workforce accessing SAS or I s applications. Can't be it in the middle to provide security and visibility about Where's my data moving? Where's married? Where do I have exposure off off GDP, our compliance or P C. I or he power risks And where is it exposed to, Which is a big deal on it's kind of the lowest level to start with, But then it goes further by. You can use the Casby to actually pull in data that that is about I s were close to toe identified data that's being addressed and stored. So are there any incidentally, a shared data artifacts that are actually critical to the business? And are they shared with extra resource is and then going one step further, where we then have a complete zero trust access model where we say we know exactly who can talkto which application at any time on give access to. But as everything this needs to be is in embedded in an evolution >> and the benefit ultimately goes to the SAS applications toe, have security built in. >> That's the first thing that you need to tackle. Nowadays, it's get your sass, cloud security or policy enforced on, but without disrupting service on business on to actually empower business and not to block and keep out the business >> can make us the classic application developer challenge, which is? They love to co they love the build applications, and what cloud did with Dev Ops was abstracted away the infrastructure so that they didn't have to do all this configuration. Sister. Right? APs You guys air enabling that for security? >> Exactly. Yeah. So coming back to this multi protein product cloud would, which is not keeping up anymore with the current reality and needs of a business. So we took the approach and compared death ops with a great service platform. So we have engineers building the platform. That's Integrated Security Service Platform, which promotes Esti Wen managed Detection response and Caspi Service is in one on the one platform which is tightly integrated. But in the in the customer focus that we provide them on or Pecs model, which is pretty, very predictable, very transparent in their security posture. Make that a scalable platform to operate and expand their business on. >> And that's great. Congratulations. I wanna go back for the final point here to round up the interview for the I T. Folks watching or, um, folks who have to implement multi cloud and hybrid cloud they're sitting there could be a cloud architect that could be an I T. Operations or 90 pro. They think multi cloud this in hybrid club. This is the environment. They have to get their arms around. How? What >> should they >> be thinking about? Around multi cloud and hybrid cloud. What is it, really? What's the reality now? What >> should they be considering for evaluation? What are some of the key things that that should be on their mind when they're dealing with hybrid cloud and all the opportunity around it? >> So I think they're they're like, four key pieces. Oneness. Um, they think they still have to start to think strategic. So what? It's a platform and a partner That helps them to plan ahead for the next 3 to 5 years in a way that they can really focus on what their business needs are. This is the scalability aspect. Secondly, it's a do. We have a network on security, our architecture that allows me to grow confidently and go down different venues to to actually adopt multi clouds without worrying about the security implication behind it. Too much, uh, and to implement it. And third is have this baseline and have this standardized security posture around wherever the data is moving, being at Mobil's being it SAS or being on Prem and in clouds workloads, the fourth pieces again, reading, thinking off where did you spend most of my time? Where do I create? Create value by by defining this framework so it really can create a benefit and value for the enterprise? Because if you do it not right your not right. You will have a way. You will end up with a an architecture that will break the business and not accelerated. >> Or it's made head of product that open systems here inside the Cube studios. Um, great job. Must love your job. You got the keys. A lot of pressure. Security being a product. Head of product for security companies. A lot of pressure before we wrap up. Just give a quick plug for the company. You guys hiring you have a new office space here in Redwood City. Looks beautiful. Give a quick shared play for the company. >> Yeah. So open systems the great company to work with. We're expanding in the U. S. On also, Amy, uh, with all the work force. So we're hiring. So go on our website. We have a lot off open positions, exciting challenges in a growth or into workspace. Andi. Yeah. As you said, security at the moment, it's one of the hottest areas to be in, especially with all the fundamental changes happening in the enterprise and architecture. I d landscape. So yeah, >> and clouds securing specifically. Not just in point. The normal stuff that people used to classify as hot as hot as Hades could be right now. But thanks for coming on. Strong insights. I'm jumping with Cuba here in Palo Alto with more Morris Man is the head of product management for open systems. Thanks for watching.

Published Date : Jul 18 2019

SUMMARY :

from our studios in the heart of Silicon Valley, Palo Alto, A G. Great to see you again. So last time we spoke, you had your event in Las Vegas. So to make our way to What's the latest that you guys are seeing with respect to security? So you have usually the infrastructure of the service. So it means that the classical People use Dropbox with some, you know, personal things. and the issue of this is that that the data that has bean, So the packets of moving on it that's crazy so that that's the reality. So that means they need to define a new way off a perimeter, So if you take a firewall in itself, firewall back then it was like a entry where you have the knowledge pools around So as an enterprise you have to content to continuously keep and they're also in it. So you have You don't own your own servers and buildings The service is a crepe is a small I want to ask you on that front you mentioned mobile users. So be secured by by actually monitoring the data are the next talk talk I want to get into is the expansion to hybrid and multi cloud so that you guys do So So the challenge for enterprise and customers we talked to is that they have to So is this what you guys mean when you say software perimeter that you guys could just put security So it's not an extension of the land that comes to the data. Yeah, So okay, I gotta ask the next question, which is okay, If that's true, that means that kubernetes So to say, So I gotta ask on the next talk Trek is this leads into hybrid cloud. And the second factor of this is actually how do you ensure Take a minute to talk about the innovations that you guys were doing because you guys Can't be it in the middle to provide security That's the first thing that you need to tackle. and what cloud did with Dev Ops was abstracted away the infrastructure so that they didn't have to do But in the in the customer focus This is the environment. What's the reality now? This is the scalability aspect. Or it's made head of product that open systems here inside the Cube studios. We're expanding in the U. The normal stuff that people used to classify as hot as hot

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JohnPERSON

0.99+

oneQUANTITY

0.99+

Silicon ValleyLOCATION

0.99+

Palo AltoLOCATION

0.99+

AmyPERSON

0.99+

2QUANTITY

0.99+

AWSORGANIZATION

0.99+

Las VegasLOCATION

0.99+

Redwood CityLOCATION

0.99+

Moritz MannPERSON

0.99+

Silicon ValleyLOCATION

0.99+

Pat GelsingerPERSON

0.99+

July 2019DATE

0.99+

U. S.LOCATION

0.99+

second factorQUANTITY

0.99+

hundredsQUANTITY

0.99+

thirdQUANTITY

0.99+

two platformsQUANTITY

0.99+

CubaLOCATION

0.99+

FirstQUANTITY

0.99+

fourth piecesQUANTITY

0.98+

EachQUANTITY

0.98+

Mike softPERSON

0.98+

MoritzPERSON

0.98+

bothQUANTITY

0.98+

twoQUANTITY

0.98+

S T winTITLE

0.98+

FBIORGANIZATION

0.98+

DropboxORGANIZATION

0.98+

T EdgeORGANIZATION

0.97+

Morris ManPERSON

0.97+

Palo Alto, CaliforniaLOCATION

0.97+

SecondlyQUANTITY

0.97+

AndiPERSON

0.96+

firstQUANTITY

0.96+

Dev OpsTITLE

0.96+

Davis CenterORGANIZATION

0.96+

first thingQUANTITY

0.95+

eachQUANTITY

0.94+

Data CenterORGANIZATION

0.94+

one platformQUANTITY

0.93+

5 yearsQUANTITY

0.93+

Open Systems AGORGANIZATION

0.93+

MobilORGANIZATION

0.92+

3 loud vendorsQUANTITY

0.92+

O. TORGANIZATION

0.92+

one cloudQUANTITY

0.9+

3QUANTITY

0.88+

SASORGANIZATION

0.88+

GORGANIZATION

0.88+

Open Systems A G.ORGANIZATION

0.87+

MaurPERSON

0.84+

GardnerPERSON

0.84+

Palo Alto Cube StudiosORGANIZATION

0.83+

TauronPERSON

0.81+

Chief admission Security officersPERSON

0.81+

eightiesDATE

0.78+

four key piecesQUANTITY

0.76+

deathTITLE

0.75+

PecsORGANIZATION

0.75+

CloudTITLE

0.74+

past springDATE

0.74+

one stepQUANTITY

0.73+

zeroQUANTITY

0.73+

threeQUANTITY

0.72+

CubeORGANIZATION

0.65+

CasbyORGANIZATION

0.63+

HadesPERSON

0.63+

CORGANIZATION

0.62+

MaurinLOCATION

0.61+

SOSPERSON

0.61+

CasbyTITLE

0.59+

PremORGANIZATION

0.58+

AliTITLE

0.57+

BabaPERSON

0.56+

DevTITLE

0.54+

EsoORGANIZATION

0.54+

micro serviceQUANTITY

0.52+

CUBEConversationsEVENT

0.51+

AzureORGANIZATION

0.5+

thousandsQUANTITY

0.5+

90QUANTITY

0.49+

opsORGANIZATION

0.48+

pro.ORGANIZATION

0.45+

CaspiTITLE

0.44+

Alan Boehme, Procter & Gamble | Mayfield50


 

Sand Hill Road to the heart of Silicon Valley it's the cute presenting the people first Network insights from entrepreneurs and tech leaders when I'm John Ferrari with the cube I'm the co-host also the founder of Silicon angle me we are here on Sand Hill Road at Mayfield for the people first conversations I'm John furry with the cube weird Allen being global CTO and IT of innovation at Procter & Gamble formerly the same position at coca-cola has done a lot of innovations over the years also a reference account back in the day for web methods when they call on the financing of that one of the most famous IPOs which set the groundwork for web services and has a lot of history going back to the 80s we were just talking about it welcome this conversation on people first network thank you for inviting me so the people first network is all about people and it's great to have these conversations you're old school you were doing some stuff back on the 80s talking about doing RPA 3270 you've been old school here yeah I go back to APL as my first programming language went through the the third generation languages and of course the old 30 to 70 emulation which is what we know today is our PA one of the cool things I was excited to hear some of your background around your history web methods you were a reference call for venture financing of web methods which was financed on the credit card for the two founders husband and wife probably one of the most successful I appeals but more importantly at the beginning of the massive wave that we now see with web services this is early days this was very early days when I was at DHL we were looking at what we're gonna do for the future and in fact we built one of the first object-oriented frameworks in C++ at the time because that was all that was available to us or the best was available we rejected Corbis and we said look if we're gonna go this direction and one of my developers found web methods found philip merrick it was literally at the time working out of his garage and had this technology that was going to allow us to start moving into this object-oriented approach and I remember the day Robin Vasan form a field called and said hey I'm thinking about investing in web methods what do you think about it and not only was it one of the first startups that I ever worked with but it's actually the first time I met anybody in the venture community way back in nineteen I think 1997 is what had happened and that was a computing time in computer science and then the rest is history and then XML became what it became lingua franca for the web web services now Amazon Web Services you see in cloud computing micro services kubernetes service meshes this is a new stack that's being developed in the cloud and this is the new generation you've seen many waves and at Procter & Gamble formerly coca-cola you're the same role you have to navigate this so what's different now what's different say 15 20 years ago how are you looking at this market how you implementing some of the IT and infrastructure and software development environments I think what's change is you know when we got into the the early 2000s Nicolas car came out and said IT doesn't matter and I think anybody that was an IT had this very objectionable response initially but when you step back and you looked at it what she realised was in many cases IT didn't matter and those were those areas that were non-competitive those things that could be commoditized and it was completely right the reality is IT has always mattered that technology does give you a competitive advantage in certain markets and certain capabilities for a company but back then we had to go out and we had to purchase equipment we had to configure the equipment there was a lot of heavy lifting in corporations just did not want to invest the capital so they outsource the stuff wholesale I think General Motors was the first one that just out sourced everything and was followed by other companies including Procter & Gamble the decision at that time was probably right but as we go forward and we see what's happened with corporations we see the valuations of corporations the amount of return on equity based on the on the capital that's being invested we can see that data is important we can see that agility flexibility is key to competing in the future and therefore what's changing is we are now moving into an age of away from ERP so we're moving into an age away from these outsource providers on a wholesale basis and using it selectively to drive down costs and allowing us to free up money in order to invest in those things that are most important to the company so you're saying is that the folks naturally the server consolidation they've bought all this gear all this software over you know 18-month rollouts before they even see the first implementation those are the glory days of gravy trains for the vendor's yeah not good for the practitioners but you're saying that the folks who reinvested are investing in IT as a core competency are seeing a competitive advantage they certainly are you know I think I made the statement front of a number of the vendors and a few years ago and people were not comfortable with it but what I said was like you gone are the ears of these 10 20 million dollar deals gone are the ears of the million two million dollar deals we're in the ear of throwaway technology I need to be able to use and invest in technology for a specific purpose for a specific period of time and be able to move on to the next one it's the perfect time for startups but startups shouldn't be looking at the big picture they should be looking at the tail on these investments let me try things let me get out in the market let me have a competitive advantage in marketing which is most important to me or in supply chain those are the areas that I can make a difference with my consumers and my customers and that's where the investments have to go so just in constant of throwaway technology and you know you'd also be said of you know being more agile though interesting to look at the cloud SAS business model if Amazon for us I think that's the gold standard where they actually lower prices on a per unit basis and increase more services and value but in the aggregate you're still paying more but you have more flexibility and that's kind of a good tell sign so that you're seeing that ability to reuse either the infrastructure that's commoditized to shift the value this is are people having a hard time understanding this so I want to get your reaction to how should I tea leaders understand that the wave of cloud the wave of machine learning what a I can bring to the table these new trends how how should leaders figure this out is there a playbook as there are things that you've learned that you could share you know that there's really a playbook it's still early on everyone's looking for one cloud fits all the reality is whether it's Google whether it's Amazon whether it's Microsoft whether it's IBM all clouds are different all clouds have our special are purpose-built for different solutions and I think as an IT leader you have to understand you're not going to take everything and lift and shift that's what we used to do we're now in the position where we have to deconstruct our business we have to understand the services the capabilities that we want to bring to market and not lock ourselves in its building blocks its Legos we're in the period of Legos putting these things together in different manners in order to create new solutions if we try to lock ourselves in the past of how we've always financed things how we've always built things then we're not going to be any better off in the new world than we were in the old alan i want to get your reaction to to two words our PA and containers well as i said earlier our PA is 3270 emulation from the 1980s and for those of us that are old enough to remember that i I still remember scraping the the old green screens and and putting a little process around it it what's nice though is that we have moved forward machine learning and AI and other other capabilities are now present so that we can do this I actually played around with neural nets probably back in 1985 with an Apollo computer so that tells you how far back I go but technologies change processing speeds change everything the technology trends are allowing us to now to do these things the question that we have is also a moral dilemma is are we trying to replace people or are we trying to make improvements and I think that you don't look at our PA as a way simply to replace work it's a way to enhance what we're doing in order to create new value for the customer or for the consumer in our case I think in the in the area of containers you know again been around for a while been around for a while it's just another another approach that we're not we don't want lock in we don't want to be dependent on specific vendors we want the portability we want the flexibility and I think as we start moving containers out to the edge that's where we're gonna start seeing more value as the business processes and the capabilities are spread out again the idea of centralized cloud computing is very good however it doesn't need to be distributed what's interesting I find about the conversation here is that you mentioned a couple things earlier you mentioned the vendors locking you in and saying here's the ERP buy this and with this you have to have a certain process because this is our technology you got to use it this way and you were slave to their their tech on your process serve their tech with containers and say orchestration you now the ability to manage workloads differently and so an interesting time there's that does that change the notion of rip and replace lift and shift because if I a container I could just put a container around it and not have to worry about killing the old to bring in the new this is on the fundamental kind of debate going on do you have to kill the old to bring in the new well you need to kill the old sometimes just because it's old it's time to go other times you do need to repackage it and other times I hate to say it you do need to lift and shift if you're a legacy organization they have a long history such as most of the manufacturing companies in the world today we can't get rid of old things that quickly we can't afford to a lot of the processes are still valid as we're looking to the future we certainly are breaking these things down into services we're looking to containerize these things we're looking to move them into areas where we can compute where we want to when we want to at the right price we're just at the beginning of that journey in the industry I still think there's about five to seven years to go to get there now I'll talk about the role of the edge role of cloud computing as it increases the surface area of IT potentially combined with the fact that IT is a competitive advantage bring those two notions together what's the role of the people because you used to have people that would just manage the rack and stack I'm provisioning some storage I'm doing this as those stovepipes start to be broken down when the service area of IT is bigger how does that change the relationship of the people involved you know you win with people at the end of the day you don't win with technology you know a company of such as Proctor and Gamble and I think what's happened if you look at historically the ERP vendors came out probably 99 2000 and it used to be and remember these I'm old to be honest with you but I remember that we used to have to worry about the amount of memory we were managing we had to be able to tune databases in all of this and the vendors went ahead and they started automating all those processes with the idea that we can do it better than a human and a lot of people a lot of the technology talent then started leaving the organizations and organizations were left with people that we're focusing on process and people a process excuse me process and the the the business which is very good because you need the subject matter experts going forward we have to reinvest in people our people have the subject matter expertise they have some technology skills that they've developed over the years and they've enhanced it on their own but we're in this huge change right now where we have to think different we have to act different and we have to behave differently so doubling down on people is the best thing that you can do and the old outsource model of outsourcing everything kind of reduces the core competency of the people yeah now you got to build it back up again exactly I mean we when we left at P&G 15 years ago about 5,000 people left the organization when we outsource them when we outsource the technology to our partner at that time now it's time we're starting to bring it back in we've brought the network team back in and stood up our own sock in our own NOC for the first time in years just this past year we're doing the same thing by moving things out to the cloud more and more is moving to the cloud we're setting up our own cloud operations and DevOps capabilities I can tell you having been on both sides of it it's a lot harder to be able to bring it back in than it is to take it out and you know interesting proctoring games well known as being a very intimate with the data very data-driven company the data is valuable and having that infrastructure NIT to support the data that's important what's your vision on the data future of the data in the world well I think data is has a value to itself but when you tie it to products you tie it to your customers and consumers it's even more valuable and we're in the process now of things that we used to do completely internally with our own technology or technology partners we're now moving all of that out into the cloud now and I must say cloud its clouds plural again going back to certain clouds are better for certain things so you're seeing a dramatic shift we have a number of projects underway that are in the cloud space but for customers and consumers number of cloud projects in the way for our own internal employees it's all about collecting the data processing the data protecting that data because we take that very seriously and being able to use it to make better decisions I want to get your reaction on two points and two quite lines of questioning here because I think it's very relevant on the enterprise side you're a big account for the big whales the old ERP so the big cloud providers so people want to sell you stuff at the same time you're also running IT innovation so you want to play with the new shiny new toys and experiments start up so if startups want to get your attention and big vendors want to sell to you the tables have kind of turned it's been good this is a good it's a good buyers market right now in my opinion so what's your thoughts on that so you know start with the big companies what do they got to do to win you over well they got to look like how they got to engage and for startups how do they get your attention I think the biggest thing for either startup or large companies understanding the company you're dealing with whether it's Procter & Gamble whether it's coca-cola whether it was DHL if you understand how I operate if you understand how decisions are made if you understand how I'm organized that's gonna give you an a competitive advantage now the large corporations understand this because they've been around through the entire journey of computing with these large corporations the startups need to step back and take a look and see where do I add that competitive advantage many times when you're selling to a large corporate you're not selling to a large corporate you're selling two divisions you're selling two functions and that's how you get in I've been working with startups as I said back since web methods and it was just a two-person company but we brought them in for a very specific capability I then took web methods with me when I left DHL I took them to GE when I left GE I took them to ing because I trusted them and they matured along the way I think finding that right individual that has the right need is the key and working it slowly don't think you're gonna close the deal fast if you're start-up know it's gonna take some time and decide if that's in your best interest or not slow things down focus don't try to boil the ocean over too many of them try to boy you're right Jimmy people try to boil the ocean get that win one win will get you another one which will get you another win and that's the best way to succeed get that beachhead Ellen so if you could go back and knowing what you know now and you're breaking into the IT leadership's position looking forward what would you do differently can do a mulligan hey what would you do differently well you know I think one of the one of the dangers of being an innovator in IT is that you really are risk taker and taking risks is counterculture to corporations so I think I would probably try to get by in a little bit more I mean someone once told me that you know you see the force through the trees before anybody else does your problem is you don't bring people along with you so I think I would probably slow down a little bit not in the adoption of technology but I'd probably take more time to build the case to bring people along a lot faster so that they can see it and they can take credit for it and they can move that needle as well yeah always sometimes early adopters and pioneers had the arrows on the back as they say I've had my share now thanks for sharing your experience what's next for you what's the next mountain you're going to climb well I think that as we're looking forward latency is still an issue you know we have to find a way to defeat latency we're not going to do it through basic physics so we're gonna have to change our business models change our technology distribution change everything that we're doing consumers and customers are demanding instant access to enhanced information through AI and m/l right at the point where they want it and that means we're now dealing with milliseconds and nanoseconds of having to make decisions so I'm very interested in looking at how are we going to change consumer behavior and customer behavior by combining a lot of the new technology trends that are underway and we have to do it also with the security in mind now before we security was secondary now as we're seeing with all of the hacks and the malware and everything that's going on in the world we have to go in and think a little bit different about how we're gonna do that so I'm very much engaged in working with a lot of startups I live here in the Silicon Valley I commute to Cincinnati for Procter & Gamble I'm spending time and just flew in from tel-aviv literally an hour ago I'm in the middle of all the technology hotspots trying to find that next big thing and it's a global it's global innovation happens everywhere and anywhere the venture community if you look at the amount of funds it used to be invested out of the Silicon Valley versus the rest of the world it continues to be on a downward trend not because the funding isn't here in the Silicon Valley but because everyone is recognizing that innovation and technology is developed everywhere in the world Alan Bain was the CTO global CTO and IT innovator there at the cube conversation here in San Hill Road I'm John for a year thanks for watching you

Published Date : Nov 5 2018

**Summary and Sentiment Analysis are not been shown because of improper transcript**

ENTITIES

EntityCategoryConfidence
1985DATE

0.99+

Alan BainPERSON

0.99+

Procter & GambleORGANIZATION

0.99+

General MotorsORGANIZATION

0.99+

Procter & GambleORGANIZATION

0.99+

Procter & GambleORGANIZATION

0.99+

John FerrariPERSON

0.99+

MicrosoftORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Robin VasanPERSON

0.99+

Silicon ValleyLOCATION

0.99+

DHLORGANIZATION

0.99+

philip merrickPERSON

0.99+

GEORGANIZATION

0.99+

twoQUANTITY

0.99+

Silicon ValleyLOCATION

0.99+

1997DATE

0.99+

C++TITLE

0.99+

GoogleORGANIZATION

0.99+

Silicon ValleyLOCATION

0.99+

IBMORGANIZATION

0.99+

18-monthQUANTITY

0.99+

two foundersQUANTITY

0.99+

two pointsQUANTITY

0.99+

15 years agoDATE

0.99+

Proctor and GambleORGANIZATION

0.99+

JohnPERSON

0.99+

two functionsQUANTITY

0.99+

early 2000sDATE

0.99+

MayfieldLOCATION

0.98+

coca-colaORGANIZATION

0.98+

EllenPERSON

0.98+

Sand Hill RoadLOCATION

0.98+

CincinnatiLOCATION

0.98+

first timeQUANTITY

0.98+

an hour agoDATE

0.98+

both sidesQUANTITY

0.98+

P&GORGANIZATION

0.98+

first oneQUANTITY

0.98+

millionQUANTITY

0.98+

third generationQUANTITY

0.98+

first networkQUANTITY

0.97+

seven yearsQUANTITY

0.97+

two wordsQUANTITY

0.97+

San Hill RoadLOCATION

0.97+

1980sDATE

0.97+

two-personQUANTITY

0.97+

Amazon Web ServicesORGANIZATION

0.97+

80sDATE

0.96+

two notionsQUANTITY

0.96+

two divisionsQUANTITY

0.96+

oneQUANTITY

0.95+

linesQUANTITY

0.95+

first timeQUANTITY

0.95+

todayDATE

0.95+

10 20 million dollarQUANTITY

0.95+

first implementationQUANTITY

0.95+

nineteenDATE

0.95+

firstQUANTITY

0.93+

first conversationsQUANTITY

0.93+

LegosORGANIZATION

0.91+

AllenPERSON

0.91+

15 20 years agoDATE

0.9+

RPA 3270OTHER

0.9+

30QUANTITY

0.9+

70QUANTITY

0.89+

one winQUANTITY

0.88+

about 5,000 peopleQUANTITY

0.88+

tel-avivORGANIZATION

0.88+

Alan BoehmePERSON

0.87+

first programming languageQUANTITY

0.86+

a yearQUANTITY

0.85+

CorbisORGANIZATION

0.84+

few years agoDATE

0.83+

first startupsQUANTITY

0.82+

NicolasPERSON

0.81+

ApolloORGANIZATION

0.8+

about fiveQUANTITY

0.8+

two million dollarQUANTITY

0.8+

past yearDATE

0.77+

Mayumi Hiramatsu, Infor | Inforum DC 2018


 

>> Live from Washington, D.C., it's theCUBE. Covering Inforum DC 2018. Brought to you by Infor. >> Good afternoon and welcome back to Inforum 2018. Our coverage here on theCUBE as we start to wrap up our two days of coverage here at the show. We're in Washington, D.C. at the Walter Washington Convention Center, along with Dave Vellante, John Walls here. We're joined now by Mayumi Hiramatsu, who is the SVP of Cloud Operations Engineering and Security at Infor. Mayumi, how are you doing? >> Great to be here, thanks for coming. >> And a recent honoree by the way, Woman of the Year at the Women in IT Awards, so congratulations on that. (clapping) >> Awesome! >> Thank you. >> Very nice honor. >> Great. >> Tell us... big picture here, cloud strategy as far as Infor is concerned and why that separates you from the pack. What makes that stand out, you think, from your peers? >> I think there are a couple of things. One is that when I think of cloud, a lot of people will think about cloud as, it's a software running in the cloud, but it's more than that. It's about the solution and the capabilities that we're building on the cloud. And Infor is perfect, in that we're building enterprise software solutions. So if you look at Infor and compare us to the competition, we may have multiple of competition wrapped together in a solution. And that's really powerful, and you can only do that, really well, in the cloud because it's already built for that. It's integrated and the power of data is really amazing, because when you think about cloud, it's not just the software, it's the data, what you can do with it. And with the latest technologies around artificial intelligence and machine learning, there is so much insight we can give to our enterprise customers to make them successful in their business. So, I think of cloud as not only the technology, which I love, because I'm actually an engineer, but it's really the business transformation, digital transformation that the cloud enables, with the technologies like artificial intelligence, data analytics, data science, machine learning. There's just so much bolted on, that you can really only do in the cloud. >> Can you help us understand that competitive nuance? >> Yeah. >> I'm not sure I fully understand, 'cause others will say, well, we have cloud too. What's different between the way in which you provide solutions in the cloud and... pick a company. >> Yeah. >> Another company says, we have cloud, all of our SaaS is in the cloud. >> Right, so I think the first thing is, Infor's always focused on solutions, which means that our competition may have one of, let's say, a dozen things that we put together. So, if you're using our competition, they may have a cloud and some of them were born in the cloud, but then you have to figure out, how do I integrate it with the rest of the world? Because if you think about it, ERP. It's running your business. And it might be your HR and about your employees. It might be CRM and customer information. It could be supply chain and figuring out what parts I need to buy. It could be billing and figuring out how do I bill my customers. All these different solutions today, if you look at our competition, they may solve one, two, three different portions, but certainly not a dozen of these all together and then tailored towards the industry. So, we can pretty much bolt on and get started pretty quickly, if you think about, for example, healthcare. We already have a healthcare solution ready to go, so you don't have to figure out how do I put 12, 15 different software, glue it together and make it work? And maybe some of it is running in the cloud, maybe some of it is not running in the cloud, then the integration and making it work gets really complex. But ours is already pre-built, ready for that, whether it's healthcare, manufacturing, food & beverage, fashion. We have a lot of these already ready to go, so then you just have to customize it, as opposed to starting from scratch, figuring out how to integrate all these different software, making sure they work together and then harnessing the data, and then adding all these different, artificial intelligence and machine learning capabilities that is so powerful today. You can't do that without the cloud and you certainly can't do it if you're trying to glue together different solutions. It's just really not easy. And I'll add one more thing, I was talking to a customer about this today, which I thought was brilliant. The other thing is security. Most people worry about security in the cloud and I run our security as well, the Chief Information Security Officer reports in to me and the whole security team does. And I can tell you, if you're combining 12, 15 different types of software and trying to have consistent security all across? Oh, that's a very difficult thing to do. But we've already figured it out. So all you have to do is buy the package, the solution, it' already working together. You already have security overlay on it. They have consistency in terms of how we manage the security, whether it's single sign-on and who has access, and making sure that that gets all the way through, all the way up to the data lake, where all of the data gets captured, all the way up to the artificial intelligence. So, if you think about security and how important that is, and how difficult it might be to do on one software, let alone a dozen software, the fact that we've already built that, is a big differentiator. >> So it's all there, and when you talked about, all you have to do is customize it, you're talking about, you're not talking about hardcore coding, you're talking about things like naming and setting it up. Is that right? >> Yeah, and-- >> Or are you talking about deeper levels of custom mods? >> In our multi-tenant cloud, we don't do mods, but instead, we have extensions. And extensibility is really important because now those are, again, essentially plug-and-play. We already built it for you, so it's so much easier than creating each piece of code every single time. Again, it's about, how do you make sure that you can integrate these very important sets of business processes together. Not only how quickly can you use it, how secure is it? And ensuring that you can actually focus on your business value, right, because trying to assemble all of this together and making it work, it's an enormous amount of work and I think, as an enterprise, you want to focus on actually giving customer value instead of trying to figure out, the mechanics underneath the hood. >> I mean, you certainly get the value of cloud software, right, and cloud ERP. Who doesn't? Like out of the industries that you're trying to, get in front of or whose attention you're trying to get. Where's the, if there's someone that's kicking and screaming a little bit, who might that be or what might that be? >> I don't think that there's a specific industry, if you will, I think some industries, in fact, and when I think about it, all industries are getting disrupted, right? If they don't, they're actually getting left behind. So, I think some industries feel it more, as in, they might be behind the curve. And I wouldn't necessarily say industry, maybe some of the companies in that industry. >> Companies within? >> Yeah, are waking up to it. I went to a Gartner Supply Chain Conference a couple years ago and they were talking about bimodal supply chain, right. You have the teams that are doing the old way and then companies that are doing the new way. And companies are literally going through this shift. And I had this interesting conversation that it's really not bimodal. Companies are essentially somewhere in that spectrum and what they need to do is figure out from point A to point B and how you make that transition. It's a huge transition. I would also say that there's a cultural element as well, and so one of the key things that, especially for companies that are moving from on-prem to cloud. As a provider, it's really important to realize it's a completely different business model. And it's not always talked about, again, a lot of times people think, oh well, you know, Infor, you just moved the software into AWS and you're calling it SaaS. It's more than that. Besides the capabilities, its a huge cultural shift that even Charles talked about on-stage, which is that, software companies you focus on the product, versus, as a SaaS, the last 'S', Software as a Service, you are focusing on the service. So, the analogy I use a lot is, maybe we were actually a food company, we'd build beautiful food, delicious food, nutritious food, maybe it was a rotisserie chicken, right? But now I switch to a restaurant. Food is only table stakes. And you know, restaurant reviews is about services, the ambiance, how quickly you respond, how clean it is, all these other elements matter. And if you think about Infor or any other company for that matter, that we're focused on product and software, to then becoming a SaaS service provider, it's a huge transformation for a company, and I can tell you we're going through that, right? Infor as an on-prem company moving to the SaaS, and there's so much focus now on customer experience, is because realizing that we're no longer a software company, we're a Software as a Service company. And there's a lot more we need to put in, in terms of making sure the customer experience is good. As our customers go through the same journey, they also need to realize, it's no longer about providing that product, but the experience that they're providing to the customers, and we see our customers actually going through that journey. Some might be harder to move within whatever industry, because maybe they have legacy product, legacy machines, right, to be able to lift and ship to quickly. But there's definitely a path, and if you think about some of these industries that's been around for a long time, they're definitely going through this transition, and in fact, I think they have to. >> So how did you set priorities in terms of, you come to that recognition that we're services, in the cloud. Luckily, you don't have to manage data centers, so you could take that off the table, so what were your priorities and where did you start, and what are you focused on now? >> One of the first things that I did was really pushing this cultural shift for the company, because a lot of people, some people may think, okay, it's software, I'm putting in the AWS, it's cloud. But all the other service elements, like that restaurant analogy, it wasn't mature in terms of where we needed to be and therefore you hear a lot about customer experience and customer success and a lot of these elements that we really have to put more emphasis on. But the other areas that I focused, so I came in, I focused on cloud operations, security, tooling, and architecture, that was the set that I was focused on. What I did was essentially transformation, right, it's People Process Technology in addition to culture, so culture we already talked about, the sense of urgency is very different as well. On-prem, maybe you don't have to respond in two seconds, but in cloud, you do, and so making sure that we had crisp KPIs, which are different than on-prem, making sure that processes were completely redefined. I've actually done benchmark with our competition to see that our SLAs and KPIs are either on par or better. I'm a big proponent of engineering and technology, so we built a lot of technology monitoring, tooling, so that we can do a lot more in terms of self-service and automation, that's really the only to scale, and execute consistently. Spent a lot of time over the last year, literally re-defining the identity of our jobs to how do we make sure we have the right skillset, and retraining some of the folks who may have a new identity and they need to learn new skills, to coming up with new tools and technologies that they can use, to changing our processes so we can up our SLA and make sure that we're either meeting or beating our customers' SLAs, complete transformation in the last year. >> You must be exhausted. (laughs) >> When do you sleep? >> I don't sleep much, but... >> You must not. >> So, new metrics, this is intriguing to me. Can you give us an example of sort of this, new KPIs as a result of this cloud, SaaS world? >> Yeah, for sure. I think every company has their own sort of core KPIs that are public, and cloud is usually uptime, right? If you have support, it could be how quickly you respond, we call it mean time to respond. Underneath the hood, I've created key KPIs for, what I call, critical cloud qualities. One is, of course, reliability, so that would be in addition to uptime, like 99.7%, which is two hours and 11 minutes by the way, per month downtime, so making sure that we're actually meeting that. >> Sorry, just to interrupt. >> Yeah. >> You're measuring from the application view right, not the green light on the server, is that fair? >> That's a great question, because that is exactly the evolution we want as well, so when I talk about the transformation at my organization, we were measuring the hardware first. We are now measuring, essentially, outages. So I don't care if the server's still running, but if the customers can't log in, it's an outage, right? But that's not something you can monitor by looking at a server because sometimes the server's up and running. But maybe a process went down. >> System's fine. >> Exactly. So that's the monitoring-- >> Okay, so slight adjustment in the typical metrics, sorry to interrupt, but please carry on. >> That was a perfect question. >> Okay. >> So KPIs, so underneath the hood, so here are some examples of metrics for availability. Mean time to detect, that's an internal metric, and my internal metric is five minutes, meaning, if you don't know we have an issue in five minutes, it's probably not automated and monitored, so we better hook up some additional monitoring as an example. Mean time to respond, that's a very public one, a lot of times, customers demand that, and if you look at competition, that is the only metric that's actually public, potentially even on a contract, right? So we have mean time to respond, we also have mean time to resolution, that's usually an internal metric. I'm sure competition has that as well, but making sure that we have that response right away, because it's one thing to respond, but if it's not resolved as quickly, it's not good. Other metrics when it comes to reliability, mean time to communicate. And this is really interesting. One of the things that I found was, we could be working on something but we're not telling the customers, so they're wondering if we're actually sleeping on the job, even though we're actually actively working in the background, right? >> Did they get the message, right? >> Right, so mean time to communicate, as an example of reliability metrics. So reliability is one of the core tenets. The other tenets? Performance, how quickly do you respond, right? And I always say that if performance is too long, it's equivalent of being down. Imagine if you're using Google and you put a search in, and it takes you three minutes to get a response time, you probably have left by then. So that performance, page load time, page response time, these response times actually matter. So we have actually metrics around that and we monitor and manage them. Security, we have a boatload of security KPIs, whether it's number of critical vulnerabilities, how quickly we respond to security incidents, a boatload of those as well, and then, last but not least, agility. So how quickly we can respond if we have to do a deployment. So what that means is, let's say, every software company has a bug, and let's say we actually had to quickly respond to that, can we do it within 24 hours if we needed to? Security is a perfect example. A mature company should be able to say, okay, there was a security alert that got to the industry, right? We should be able to quickly respond to that and apply a patch immediately and address it. A company that may not be so mature, it might take them months to go through thousands of machines. So I call that time to market, how quickly can we actually deploy something, and that's not just deploying it, but testing it and making sure it's not going to break anything and be able to test it and verify it. So these are examples of metrics-- >> Great examples. Are your SLAs... for a SaaS company, your SLAs presumably have to be more strict than you'll contractually agree to, but maybe not, then your typical SLA out of AWS or Google, or Microsoft Azure. Is that true? >> Yes. >> So you guys will commit contractually to these types of SLAs that you would expect in an enterprise, versus kind of the standard, off-the-shelf AWS SLA, and how do you reconcile the gap or do you have a different agreement with AWS? >> We do have a... The SLA is pretty much standard when it comes to AWS specifically, right? >> 'Cause they want-- >> Yeah. >> Homogeneity. >> Exactly. So I think the challenge is, every SaaS provider needs to architect around it and when you think about it, hardware failure rate is usually 4% industry-wide. You can expect the hardware will go down, right? >> Yep. >> Network goes down, various things go down. So then it's our job that sits on top of it, to make sure that we build it for reliability. Perhaps we actually have redundancy built-in, and we can actually go from one side to the other, we have that, for example. So if AWS goes down, and they do, all right? I ran data centers for many, many years, it happens. It's our job to make sure that we can fail over it, and not have that customer experience, so it's an overlay availability that we have to build-- >> You're architecting recovery into the system, I know we're tight on time, but I got to ask you, 'cause Pam couldn't make it today. You're part of the WIN, the Women Infor Network, I presume, right? >> Yes. >> So maybe we can just talk a little about that-- >> Yeah. >> It's a great topic. >> Women in technology, right? >> I got some of the best interviews at Infor shows with women, Deborah Norville came on, Naomi Tutu, Lara Logan. Just some awesome folks, but so-- >> So your thoughts, we know you're passionate about the role of women in technology, so how you feel about that, if you want, and Infor, what's being done, or what can be done about that? >> Great questions. So I'm a big proponent of women in technology. Partly because I went through my pain, right, I've always been a small percentage in terms of engineering role as female in technology. I'm also a board member of Girls in Tech, and I channel my energy that way as well as I try to mentor and help others, for example, mentoring engineering students at Berkeley. I'm a Berkeley alum. And I think it's really important that we get more women in technology and keep in them in technology, and candidly, our latest trend is actually going down. So the reason why I think it's important, besides making sure that everybody has a chance, and all those good reasons, we have statistics that actually show, the more diversity you have, the better your product is going to be, and the better it's actually going to hit your top line revenue. And over and over again, whether it's women in the board seat, or women executives, or women engineers, no matter where, by getting women's input into technology, you're actually representing 50% of the consumer base. >> The user base, right. >> Right and so, if we don't do that as a company, we're actually not going to be able to get the user base feedback and I think it's so really important, not only for the economy to have those wonderful workforce in the job, but also for the company products to actually reflect the user's needs and actually improve the revenue, right? So from that perspective, I think it's really important, I love the fact that at Infor, we do a couple of things when it comes to diversity. So one, is WIN, as you know, Women Infor Network. I think it's a fabulous program, and in fact, I get a lot of male colleagues saying they want to join WIN, and they do. My last session, there were actually women and men joining it, because it's really about leadership and how do we cultivate our next, next talented workforce to be successful. The other one is EAP, the Infor Education Alliance Program, so that not only looks at women, but just diversity, right, and bringing students into this workforce. I think it's a great way to help the economy, help the products, help the company. And at the end of the day, why not? >> You're awesome, super impressive and articulate, and really self-confident, and hopefully an inspiration for young women out there watching, so thank you so much, really appreciate it. >> And hope you get some sleep sometime too. (laughing) >> Thank you. >> Busy, busy schedule. All right, thank you. Thank you Mayumi. We're back with more here on theCUBE, you are watching us live in Washington, D.C., and we'll be right back. (upbeat music)

Published Date : Sep 27 2018

SUMMARY :

Brought to you by Infor. Mayumi, how are you doing? And a recent honoree by the way, What makes that stand out, you think, from your peers? that you can really only do in the cloud. What's different between the way in which you provide all of our SaaS is in the cloud. in the cloud, but then you have to figure out, So it's all there, and when you talked about, And ensuring that you can actually focus on your I mean, you certainly get the value of maybe some of the companies in that industry. that product, but the experience that they're providing to and what are you focused on now? and automation, that's really the only to scale, You must be exhausted. Can you give us an example of sort of this, new KPIs so making sure that we're actually meeting that. the evolution we want as well, so when I talk about So that's the monitoring-- Okay, so slight adjustment in the typical metrics, and if you look at competition, and it takes you three minutes to get a response time, Is that true? when it comes to AWS specifically, right? architect around it and when you think about it, so it's an overlay availability that we have to build-- You're part of the WIN, the Women Infor Network, I got some of the best interviews at Infor shows and the better it's actually going to hit I love the fact that at Infor, we do a couple of things and really self-confident, and hopefully an inspiration And hope you get some sleep sometime too. Thank you Mayumi.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Deborah NorvillePERSON

0.99+

Dave VellantePERSON

0.99+

Naomi TutuPERSON

0.99+

Lara LoganPERSON

0.99+

AWSORGANIZATION

0.99+

John WallsPERSON

0.99+

50%QUANTITY

0.99+

Mayumi HiramatsuPERSON

0.99+

three minutesQUANTITY

0.99+

MayumiPERSON

0.99+

five minutesQUANTITY

0.99+

Washington, D.C.LOCATION

0.99+

two hoursQUANTITY

0.99+

CharlesPERSON

0.99+

99.7%QUANTITY

0.99+

threeQUANTITY

0.99+

two daysQUANTITY

0.99+

4%QUANTITY

0.99+

GoogleORGANIZATION

0.99+

twoQUANTITY

0.99+

two secondsQUANTITY

0.99+

each pieceQUANTITY

0.99+

last yearDATE

0.99+

InforORGANIZATION

0.99+

todayDATE

0.99+

oneQUANTITY

0.98+

Women Infor NetworkORGANIZATION

0.98+

a dozen softwareQUANTITY

0.98+

one softwareQUANTITY

0.98+

first thingQUANTITY

0.98+

one thingQUANTITY

0.98+

Infor Education Alliance ProgramTITLE

0.98+

24 hoursQUANTITY

0.98+

OneQUANTITY

0.97+

Women in IT AwardsEVENT

0.97+

Walter Washington Convention CenterLOCATION

0.97+

EAPTITLE

0.96+

one more thingQUANTITY

0.96+

DCLOCATION

0.95+

thousands of machinesQUANTITY

0.95+

11 minutesQUANTITY

0.93+

2018DATE

0.89+

first thingsQUANTITY

0.89+

15 different softwareQUANTITY

0.89+

Gartner Supply Chain ConferenceEVENT

0.89+

firstQUANTITY

0.88+

Cloud Operations Engineering and SecurityORGANIZATION

0.85+

15 different typesQUANTITY

0.84+

Inforum 2018EVENT

0.84+

a dozen thingsQUANTITY

0.83+

a dozenQUANTITY

0.83+

SLATITLE

0.82+

couple years agoDATE

0.82+

Microsoft AzureORGANIZATION

0.81+

WINORGANIZATION

0.8+

2018EVENT

0.79+

one sideQUANTITY

0.79+

12,QUANTITY

0.78+

BerkeleyLOCATION

0.78+

InforumEVENT

0.75+

single signQUANTITY

0.75+

point BOTHER

0.73+

single timeQUANTITY

0.71+

in TechORGANIZATION

0.68+

PamPERSON

0.65+

BerkeleyORGANIZATION

0.56+

Leigh Martin, Infor | Inforum DC 2018


 

>> Live from Washington, D.C., it's theCUBE! Covering Inforum D.C. 2018. Brought to you by Infor. >> Well, welcome back to Washington, D.C., We are alive here at the Convention Center at Inforum 18, along with Dave Vellante, I'm John Walls. It's a pleasure now, welcome to theCUBE, Leigh Martin, who is the Senior Director of the Dynamic Science Labs at Infor, and good afternoon to you Leigh! >> Good afternoon, thank you for having me. >> Thanks for comin' on. >> Thank you for being here. Alright, well tell us about the Labs first off, obviously, data science is a big push at Infor. What do you do there, and then why is data science such a big deal? >> So Dynamic Science Labs is based in Cambridge, Massachusetts, we have about 20 scientists with backgrounds in math and science areas, so typically PhDs in Statistics and Operations Research, and those types of areas. And, we've really been working over the last several years to build solutions for Infor customers that are Math and Science based. So, we work directly with customers, typically through proof of concept, so we'll work directly with customers, we'll bring in their data, and we will build a solution around it. We like to see them implement it, and make sure we understand that they're getting the value back that we expect them to have. Once we prove out that piece of it, then we look for ways to deliver it to the larger group of Infor customers, typically through one of the Cloud Suites, perhaps functionality, that's built into a Cloud Suite, or something like that. >> Well, give me an example, I mean it's so, as you think-- you're saying that you're using data that's math and science based, but, for application development or solution development if you will. How? >> So, I'll give you an example, so we have a solution called Inventory Intelligence for Healthcare, it's moving towards a more generalized name of Inventory Intelligence, because we're going to move it out of the healthcare space and into other industries, but this is a product that we built over the last couple of years. We worked with a couple of customers, we brought in their loss and data, so their loss in customers, we bring the data into an area where we can work on it, we have a scientist in our team, actually, she's one of the Senior Directors in the team, Dawn Rose, who led the effort to design and build this, design and build the algorithm underlying the product; and what it essentially does is, it allows hospitals to find the right level of inventory. Most hospitals are overstocked, so this gives them an opportunity to bring down their inventory levels, to a manageable place without increasing stockouts, so obviously, it's very important in healthcare, that you're not having a lot of stockouts. And so, we spent a lot of time working with these customers, really understanding what the data was like that they were giving to us, and then Dawn and her team built the algorithm that essentially says, here's what you've done historically, right? So it's based on historic data, at the item level, at the location level. What've you done historically, and how can we project out the levels you should have going forward, so that they're at the right level where you're saving money, but again, you're not increasing stockouts, so. So, it's a lot of time and effort to bring those pieces together and build that algorithm, and then test it out with the customers, try it out a couple of times, you make some tweaks based on their business process and exactly how it works. And then, like I said, we've now built that out into originally a stand-alone application, and in about a month, we're going to go live in Cloud Suite Financials, so it's going to be a piece of functionality inside of Cloud Suite Financials. >> So, John, if I may, >> Please. >> I'm going to digress for a moment here because the first data scientist that I ever interviewed was the famous Hilary Mason, who's of course now at Cloudera, but, and she told me at the time that the data scientist is a part mathematician, part scientist, part statistician, part data hacker, part developer, and part artist. >> Right. (laughs) >> So, you know it's an amazing field that Hal Varian, who is the Google Economist said, "It's going to be the hottest field, in the next 10 years." And this is sort of proven true, but Leigh, my question is, so you guys are practitioners of data science, and then you bring that into your product, and what we hear from a lot of data scientists, other than that sort of, you know, panoply of skill sets, is, they spend more time wrangling data, and the tooling isn't there for collaboration. How are you guys dealing with that? How has that changed inside of Infor? >> It is true. And we actually really focus on first making sure we understand the data and the context of the data, so it's really important if you want to solve a particular business problem that a customer has, to make sure you understand exactly what is the definition of each and every piece of data that's in all of those fields that they sent over to you, before you try to put 'em inside an algorithm and make them do something for you. So it is very true that we spend a lot of time cleaning and understanding data before we ever dive into the problem solving aspect of it. And to your point, there is a whole list of other things that we do after we get through that phase, but it's still something we spend a lot of time on today, and that has been the case for, a long time now. We, wherever we can, we apply new tools and new techniques, but actually just the simple act of going in there and saying, "What am I looking at, how does it relate?" Let me ask the customer to clarify this to make sure I understand exactly what it means. That part doesn't go away, because we're really focused on solving the customer solution and then making sure that we can apply that to other customers, so really knowing what the data is that we're working with is key. So I don't think that part has actually changed too much, there are certainly tools that you can look at. People talk a lot about visualization, so you can start thinking, "Okay, how can I use some visualization to help me understand the data better?" But, just that, that whole act of understanding data is key and core to what we do, because, we want to build the solution that really answers the answers the business problem. >> The other thing that we hear a lot from data scientists is that, they help you figure out what questions you actually have to ask. So, it sort of starts with the data, they analyze the data, maybe you visualize the data, as you just pointed out, and all these questions pop out. So what is the process that you guys use? You have the data, you've got the data scientist, you're looking at the data, you're probably asking all these questions. You get, of course, get questions from your customers as well. You're building models maybe to address those questions, training the models to get better and better and better, and then you infuse that into your software. So, maybe, is that the process? Is it a little more complicated than that? Maybe you could fill in the gaps. >> Yeah, so, I, my personal opinion, and I think many of my colleagues would agree with me on this is, starting with the business problem, for us, is really the key. There are ways to go about looking at the data and then pulling out the questions from the data, but generally, that is a long and involved process. Because, it takes a lot of time to really get that deep into the data. So when we work, we really start with, what's the business problem that the customer's trying to solve? And then, what's the data that needs to be available for us to be able to solve that? And then, build the algorithm around that. So for us, it's really starting with the business problem. >> Okay, so what are some of the big problems? We heard this morning, that there's a problem in that, there's more job openings than there are candidates, and productivity, business productivity is not being impacted. So there are two big chewy problems that data scientists could maybe attack, and you guys seem to be passionate about those, so. How does data science help solve those problems? >> So, I think that, at Infor, I'll start off by saying at Infor there's actually, I talked about the folks that are in our office in Cambridge, but there's quite a bit of data science going on outside of our team, and we are the data science team, but there are lots of places inside of Infor where this is happening. Either in products that contains some sort of algorithmic approach, the HCM team for sure, the talent science team which works on HCM, that's a team that's led by Jill Strange, and we work with them on certain projects in certain areas. They are very focused on solving some of those people-related problems. For us, we work a little bit more on the, some of the other areas we work on is sort of the manufacturing and distribution areas, we work with the healthcare side of things, >> So supply chain, healthcare? >> Exactly. So some of the other areas, because they are, like I said, there are some strong teams out there that do data science, it's just, it's also incorporated with other things, like the talent science team. So, there's lots of examples of it out there. In terms of how we go about building it, so we, like I was saying, we work on answering the business, the business question upfront, understanding the data, and then, really sitting with the customer and building that out, and, so the problems that come to us are often through customers who have particular things that they want to answer. So, a lot of it is driven by customer questions, and particular problems that they're facing. Some of it is driven by us. We have some ideas about things that we think, would be really useful to customers. Either way, it ends up being a customer collaboration with us, with the product team, that eventually we'll want to roll it out too, to make sure that we're answering the problem in the way that the product team really feels it can be rolled out to customers, and better used, and more easily used by them. >> I presume it's a non-linear process, it's not like, that somebody comes to you with a problem, and it's okay, we're going to go look at that. Okay now, we got an answer, I mean it's-- Are you more embedded into the development process than that? Can you just explain that? >> So, we do have, we have a development team in Prague that does work with us, and it's depending on whether we think we're going to actually build a more-- a product with aspects to it like a UI, versus just a back end solution. Depends on how we've decided we want to proceed with it. so, for example, I was talking about Inventory Intelligence for Healthcare, we also have Pricing Science for Distribution, both of those were built initially with UIs on them, and customers could buy those separately. Now that we're in the Cloud Suites, that those are both being incorporated into the Cloud Suite. So, we have, going back to where I was talking about our team in Prague, we sometimes build product, sort of a fully encased product, working with them, and sometimes we work very closely with the development teams from the various Cloud Suites. And the product management team is always there to help us, to figure out sort of the long term plan and how the different pieces fit together. >> You know, kind of big picture, you've got AI right, and then machine learning, pumping all kinds of data your way. So, in a historical time frame, this is all pretty new, this confluence right? And in terms of development, but, where do you see it like 10 years from now, 20 years from now? What potential is there, we've talked about human potential, unlocking human potential, we'll unlock it with that kind of technology, what are we looking at, do you think? >> You know, I think that's such a fascinating area, and area of discussion, and sort of thinking, forward thinking. I do believe in sort of this idea of augmented intelligence, and I think Charles was talking a little bit about, about that this morning, although not in those particular terms; but this idea that computers and machines and technology will actually help us do better, and be better, and being more productive. So this idea of doing sort of the rote everyday tasks, that we no longer have to spend time doing, that'll free us up to think about the bigger problems, and hopefully, and my best self wants to say we'll work on famine, and poverty, and all those problems in the world that, really need our brains to focus on, and work. And the other interesting part of it is, if you think about, sort of the concept of singularity, and are computers ever going to actually be able to think for themselves? That's sort of another interesting piece when you talk about what's going to happen down the line. Maybe it won't happen in 10 years, maybe it will never happen, but there's definitely a lot of people out there, who are well known in sort of tech and science who talk about that, and talk about the fears related to that. That's a whole other piece, but it's fascinating to think about 10 years, 20 years from now, where we are going to be on that spectrum? >> How do you guys think about bias in AI and data science, because, humans express bias, tribalism, that's inherent in human nature. If machines are sort of mimicking humans, how do you deal with that and adjudicate? >> Yeah, and it's definitely a concern, it's another, there's a lot of writings out there and articles out there right now about bias in machine learning and in AI, and it's definitely a concern. I actually read, so, just being aware of it, I think is the first step, right? Because, as scientists and developers develop these algorithms, going into it consciously knowing that this is something they have to protect against, I think is the first step, for sure. And then, I was just reading an article just recently about another company (laughs) who is building sort of a, a bias tracker, so, a way to actually monitor your algorithm and identify places where there is perhaps bias coming in. So, I do think we'll see, we'll start to see more of those things, it gets very complicated, because when you start talking about deep learning and networks and AI, it's very difficult to actually understand what's going on under the covers, right? It's really hard to get in and say this is the reason why, your AI told you this, that's very hard to do. So, it's not going to be an easy process but, I think that we're going to start to see that kind of technology come. >> Well, we heard this morning about some sort of systems that could help, my interpretation, automate, speed up, and minimize the hassle of performance reviews. >> Yes. (laughs) >> And that's the classic example of, an assertive woman is called abrasive or aggressive, an assertive man is called a great leader, so it's just a classic example of bias. I mentioned Hilary Mason, rock star data scientist happens to be a woman, you happen to be a woman. Your thoughts as a woman in tech, and maybe, can AI help resolve some of those biases? >> Yeah. Well, first of all I want to say, I'm very pleased to work in an organization where we have some very strong leaders, who happen to be women, so I mentioned Dawn Rose, who designed our IIH solution, I mentioned Jill Strange, who runs the talent science organization. Half of my team is women, so, particularly inside of sort of the science area inside of Infor, I've been very pleased with the way we've built out some of that skill set. And, I'm also an active member of WIN, so the Women's Infor Network is something I'm very involved with, so, I meet a lot of people across our organization, a lot of women across our organization who have, are just really strong technology supporters, really intelligent, sort of go-getter type of people, and it's great to see that inside of Infor. I think there's a lot of work to be done, for sure. And you can always find stories, from other, whether it's coming out of Silicon Valley, or other places where you hear some, really sort of arcane sounding things that are still happening in the industry, and so, some of those things it's, it's disappointing, certainly to hear that. But I think, Van Jones said something this morning about how, and I liked the way he said it, and I'm not going to be able say it exactly, but he said something along the lines of, "The ground is there, the formation is starting, to get us moving in the right direction." and I think, I'm hopeful for the future, that we're heading in that way, and I think, you know, again, he sort of said something like, "Once the ground swell starts going in that direction, people will really jump in, and will see the benefits of being more diverse." Whether it's across, having more women, or having more people of color, however things expand, and that's just going to make us all better, and more efficient, and more productive, and I think that's a great thing. >> Well, and I think there's a spectrum, right? And on one side of the spectrum, there's intolerable and unacceptable behavior, which is just, should be zero tolerance in my opinion, and the passion of ours in theCUBE. The other side of that spectrum is inclusion, and it's a challenge that we have as a small company, and I remember having a conversation, earlier this year with an individual. And we talk about quotas, and I don't think that's the answer. Her comment was, "No, that's not the answer, you have to endeavor to reach deeper beyond your existing network." Which is hard sometimes for us, 'cause you're so busy, you're running around, it's like okay it's the convenient thing to do. But you got to peel the onion on that network, and actually take the extra time and make it a priority. I mean, your thoughts on that? >> No, I think that's a good point, I mean, if I think about who my circle is, right? And the people that I know and I interact with. If I only reach out to the smallest group of people, I'm not getting really out beyond my initial circle. So I think that's a very good point, and I think that that's-- we have to find ways to be more interactive, and pull from different areas. And I think it's interesting, so coming back to data science for a minute, if you sort of think about the evolution of where we got to, how we got to today where, now we're really pulling people from science areas, and math areas, and technology areas, and data scientists are coming from lots of places, right? And you don't always have to have a PhD, right? You don't necessary have to come up through that system to be a good data scientist, and I think, to see more of that, and really people going beyond, beyond just sort of the traditional circles and the traditional paths to really find people that you wouldn't normally identify, to bring into that, that path, is going to help us, just in general, be more diverse in our approach. >> Well it certainly it seems like it's embedded in the company culture. I think the great reason for you to be so optimistic going forward, not only about your job, but about the way companies going into that doing your job. >> What would you advise, young people generally, who want to crack into the data science field, but specifically, women, who have clearly, are underrepresented in technology? >> Yeah, so, I think the, I think we're starting to see more and more women enter the field, again it's one of those, people know it, and so there's less of a-- because people are aware of it, there's more tendency to be more inclusive. But I definitely think, just go for it, right? I mean if it's something you're interested in, and you want to try it out, go to a coding camp, and take a science class, and there's so many online resources now, I mean there's, the massive online courses that you can take. So, even if you're hesitant about it, there are ways you can kind of be at home, and try it out, and see if that's the right thing for you. >> Just dip your toe in the water. >> Yes, exactly, exactly! Try it out and see, and then just decide if that's the right thing for you, but I think there's a lot of different ways to sort of check it out. Again, you can take a course, you can actually get a degree, there's a wide range of things that you can do to kind of experiment with it, and then find out if that's right for you. >> And if you're not happy with the hiring opportunities out there, just start a company, that's my advice. >> That's right. (laughing together) >> Agreed, I definitely agree! >> We thank you-- we appreciate the time, and great advice, too. >> Thank you so much. >> Leigh Martin joining us here at Inforum 18, we are live in Washington, D.C., you're watching the exclusive coverage, right here, on theCUBE. (bubbly music)

Published Date : Sep 25 2018

SUMMARY :

Brought to you by Infor. and good afternoon to you Leigh! and then why is data science such a big deal? and we will build a solution around it. Well, give me an example, I mean it's so, as you think-- and how can we project out that the data scientist is a part mathematician, (laughs) and then you bring that into your product, and that has been the case for, a long time now. and then you infuse that into your software. and I think many of my colleagues and you guys seem to be passionate about those, so. some of the other areas we work on is sort of the so the problems that come to us are often through that somebody comes to you with a problem, And the product management team is always there to help us, what are we looking at, do you think? and talk about the fears related to that. How do you guys think about bias that this is something they have to protect against, Well, we heard this morning about some sort of And that's the classic example of, and it's great to see that inside of Infor. and it's a challenge that we have as a small company, and I think that that's-- I think the great reason for you to be and see if that's the right thing for you. and then just decide if that's the right thing for you, the hiring opportunities out there, That's right. we appreciate the time, and great advice, too. at Inforum 18, we are live in Washington, D.C.,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

Hilary MasonPERSON

0.99+

John WallsPERSON

0.99+

Hal VarianPERSON

0.99+

Jill StrangePERSON

0.99+

Dynamic Science LabsORGANIZATION

0.99+

JohnPERSON

0.99+

Leigh MartinPERSON

0.99+

Washington, D.C.LOCATION

0.99+

CambridgeLOCATION

0.99+

PragueLOCATION

0.99+

Silicon ValleyLOCATION

0.99+

CharlesPERSON

0.99+

LeighPERSON

0.99+

InforORGANIZATION

0.99+

Van JonesPERSON

0.99+

DawnPERSON

0.99+

WINORGANIZATION

0.99+

first stepQUANTITY

0.99+

ClouderaORGANIZATION

0.99+

Dawn RosePERSON

0.99+

Cambridge, MassachusettsLOCATION

0.99+

Cloud SuiteTITLE

0.99+

Women's Infor NetworkORGANIZATION

0.98+

Convention CenterLOCATION

0.98+

oneQUANTITY

0.98+

todayDATE

0.98+

bothQUANTITY

0.97+

10 yearsQUANTITY

0.97+

this morningDATE

0.96+

Cloud SuitesTITLE

0.96+

firstQUANTITY

0.96+

one sideQUANTITY

0.95+

Cloud Suite FinancialsTITLE

0.93+

eachQUANTITY

0.92+

two big chewy problemsQUANTITY

0.92+

about 20 scientistsQUANTITY

0.92+

D.C.LOCATION

0.9+

earlier this yearDATE

0.9+

20 yearsQUANTITY

0.88+

last couple of yearsDATE

0.88+

DCLOCATION

0.87+

first data scientistQUANTITY

0.85+

Inforum 18ORGANIZATION

0.83+

GoogleORGANIZATION

0.79+

Half of my teamQUANTITY

0.76+

yearsDATE

0.75+

coupleQUANTITY

0.74+

Inventory IntelligenceTITLE

0.71+

yearsQUANTITY

0.69+

HCMORGANIZATION

0.68+

about a monthQUANTITY

0.68+

next 10 yearsDATE

0.68+

2018DATE

0.66+

20DATE

0.63+

theCUBEORGANIZATION

0.62+

lastDATE

0.55+

InforumORGANIZATION

0.54+

zeroQUANTITY

0.52+

EconomistTITLE

0.51+

CloudTITLE

0.49+

InventoryORGANIZATION

0.47+

InforumEVENT

0.42+

Mayumi Hiramatsu, Infor | Girls in Tech Catalyst Conference 2018


 

>> From San Francisco, it's theCUBE covering Girls in Tech Catalyst Conference. Brought to you by Girls in Tech. >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in downtown San Francisco at the Girls in Tech Catalyst event. About 700 people listening to two days of short presentations by senior leaders, mainly women senior leaders, and it's a really good event. We were here a couple years ago. Girls in Tech's a great organization, and so we're excited to have a board member with us right now. She's Mayumi Hiramatsu. She's a senior vice president, Cloud Ops, Engineering and Security for Infor. Great to see you. >> Great to see you, too. Thanks for inviting me. >> Absolutely. So let's just jump in. So you've spoken in prior years, you're not speaking this year, but from a corporate perspective as well as a personal perspective, what does this event mean to you? >> From a corporate perspective, from Girls in Tech's perspective, it's just amazing. Every year year it gets better. I did speak the last two years, and I'm humbled by the speakers this year. So I'm actually really enjoying it. (laughing) It's quite a caliber of-- It's kind of fun when you can just sit and relax and watch everybody else speak, right? >> Exactly. And quite a caliber the team's put together. So as a board member, I can't be prouder than what the team's pulled together. And it's so much buzz. Everybody's inspired, I see people taking notes. Folks are really taking this to heart in terms of takeaways, practical tips, and getting energized. So I think it's great. From a personal perspective, a little bit about myself: So I'm from originally Japan, I came here at 17. I didn't speak any English. I wasn't planning on getting in engineering, I have an economics degree. So you can imagine, I got into engineering and built my career here. It was not easy. For a foreigner, a female, Asian, a non-speaking English person. >> You checked all the wrong boxes, right? >> Yeah. I don't know why I choose to do something harder than it needs to be, and I don't even have an engineering degree. I have an economics degree. But I love technology. I've been doing this for 20 plus years, and I think it's a wonderful place for any woman like me to be able to give it a chance and actually have a wonderful career. I also love the fact that it sort of gives, it evens out everybody's potential. So with an economics degree, or from another country, I've been at Silicon Valley and have done great. So if I can do it, I know anybody else can do it. So for me, giving back to the community and making sure the next generation can successfully come through the technology ranks, or have their own company, is really exciting. So it's great to be on the board of Girls in Tech, and I can channel my energy through that way, and I think Girls in Tech is one of the largest, if not the largest world non-profit organization to help women with very practical, and great tips, as well as, not only these Catalyst conferences, but, my goodness, we do hackathons, we do pitch nights and give entrepreneurs a chance to actually shine, global classrooms where we can actually give a lot of teaching opportunities, and learning opportunities. So, super excited to be here. >> Then what about from the Infor perspective? Did you spearhead the Infor participation? Did Girls in Tech, Adriana come seek you out? How did you get directly involved, how did you sell it, and why does it matter to Infor? >> Yeah, so I've been a board member for year and a half, and not so coincidentally you can see Cisco's also there. I used to be a Cisco. Once I introduced Cisco and Infor to Girls in Tech, everybody was really excited. There's just so much win-win. So for Infor, it's great on a couple of things. You may know that Infor is a pretty large company. We're the third or fourth largest ERP. And we have really important business solutions software. For example, focus on verticals; for example, health care, manufacturing, retail, and as a company we're doing really well, but the other thing that really attracted me to Infor is our diversity programs. So we have two of them. One is WIN, Women Infor Network, and it's about essentially women network to help each other out and continue to grow our career, which is important. But the other program is EAP, which is Education Alliance Program. And I love the fact that we actually have a program, we have 80 plus universities that we tie in with, to bring in a diverse workforce, and teach them in the universities and bring them into the workforce, whether it's Infor or not, candidly. So it's STEM programs that gives diversity, whether it's gender, or background, or international location, or even age, right? Because we're bringing in college grads. I just love the programs that Infor has. >> So what is that? How does the relationship go between Infor and the universities? What's kind of the formal structure? >> Yeah, so there's a program called Education Alliance Program, EAP, very, very successful as I mentioned. 80+ universities that we work with already. And what we do is we essentially give these students in the university training program that teaches our software, and there are actually a couple of great things that come out of it. Of course, it's promoting STEM, and making sure that these kids have, young adults, have great technology STEM education coming out of college. It's also great for Infor because we also have people graduating with our technology skillset. So not only directly impacts us as they join our company, but also even if they don't join our company, we've given them a chance to get into technology and it's very, very successful. I'm very proud of it. So Infor is big on diversity in technology as you can see. And, of course, we're proud to be here this year as one of the sponsors. >> So I'll give you the last word as a board member to the audience. How can they get involved with Girls in Tech? How should they get involved? What are some of the ways that you would suggest for them to get their toe in the water if they're not familiar with the organization? >> Yeah, girlsintech.org is a great place to start. We have a wonderful website, of course, and we have various types of programs involved so depending on what it is. If you want to learn you can actually join some of the hackathons or global classrooms to get some practical skills. If you're a founder and you actually want to pitch your idea and get some funding, you can actually go to Pitch Night. There are different programs that we can leverage and I highly encourage everybody to join. >> Alright, well Mayumi thanks for taking a few minutes. Congrats on the sponsorship and all your good work on the board. >> Thank you very much. >> You're welcome. She's Mayumi, I'm Jeff. You're watching theCUBE. We're at Girls in Tech Catalyst 2018 in downtown San Francisco. Thanks for watching.

Published Date : Jun 21 2018

SUMMARY :

Brought to you by Girls in Tech. and it's a really good event. Great to see you, too. does this event mean to you? and I'm humbled by the speakers this year. Folks are really taking this to heart So it's great to be on the and Infor to Girls in Tech, and it's very, very successful. for them to get their toe in the water and I highly encourage everybody to join. and all your good work on the board. We're at Girls in Tech Catalyst 2018

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
MayumiPERSON

0.99+

AdrianaPERSON

0.99+

twoQUANTITY

0.99+

CiscoORGANIZATION

0.99+

Mayumi HiramatsuPERSON

0.99+

Jeff FrickPERSON

0.99+

JapanLOCATION

0.99+

JeffPERSON

0.99+

thirdQUANTITY

0.99+

San FranciscoLOCATION

0.99+

20 plus yearsQUANTITY

0.99+

two daysQUANTITY

0.99+

OneQUANTITY

0.99+

InforORGANIZATION

0.99+

fourthQUANTITY

0.99+

WINORGANIZATION

0.99+

Silicon ValleyLOCATION

0.99+

this yearDATE

0.98+

girlsintech.orgOTHER

0.98+

Girls in TechORGANIZATION

0.98+

oneQUANTITY

0.97+

EnglishOTHER

0.97+

About 700 peopleQUANTITY

0.96+

theCUBEORGANIZATION

0.95+

Girls in Tech Catalyst Conference 2018EVENT

0.95+

Women Infor NetworkORGANIZATION

0.95+

Girls in Tech CatalystEVENT

0.95+

80 plus universitiesQUANTITY

0.95+

couple years agoDATE

0.94+

year and a halfQUANTITY

0.93+

Girls in Tech Catalyst ConferenceEVENT

0.93+

EAPTITLE

0.9+

80+ universitiesQUANTITY

0.88+

Cloud Ops, Engineering and Security for InforORGANIZATION

0.87+

Girls in Tech Catalyst 2018EVENT

0.86+

Education Alliance ProgramTITLE

0.86+

last two yearsDATE

0.86+

downtown San FranciscoLOCATION

0.83+

Education Alliance ProgramTITLE

0.82+

AsianOTHER

0.75+

17QUANTITY

0.74+

downtown San FranciscoLOCATION

0.73+

eachQUANTITY

0.6+

PitchORGANIZATION

0.46+

NightTITLE

0.45+

CatalystORGANIZATION

0.42+

Katie Stone Perez, Microsoft | E3 2018


 

>> [Announcer] Live from Los Angeles, it's theCUBE! Covering E3, 2018. Brought to you by SiliconANGLE Media. >> Hey, welcome back everybody. Jeff right here at theCUBE. We're at the L.A. Convention Center in E3. It's our first time coming to this convention. It's 68,000 people and every single hall and outside, inside hotels. It's pretty crazy--pretty crazy scene. We're happy to be here. Well, we've got our next guest. She's been coming for a while. It's Katie Stone Perez. She's the director of Mixer Interactive. From Mixer, Katie, great to see you. >> Thanks so much for having me! >> Absolutely. So before we jump into it, I'd love to get your perspective. You've been in this industry for-- >> 17 years. >> 17 years. I wasn't going to say that. I was going to say close to two decades. >> (Laughing) >> So as you've been in and watched this thing develop, what are your impressions today in 2018 and how it's transformed?-- >> Of the show? You know, the whole game industry has so fundamentally transformed over the last 17 years, right? I mean, at that point in time, we didn't even have services like Xbox Live where people were connecting and playing online together. Everything was really sold as a disc-based media. So you walked into a store to purchase your disk. Now we have so many digital purchases happening online. We had no player data. We had no way to actually know how far in the game our players were getting and all of this kind of stuff-- >> [Jeff] That's right. You just shipped the disc out, right? You didn't know. >> And now we have all of this telemetry, right? We have all of these experiences. You have the, you know, free-to-play has made a huge rise. We have mobile, right? Mobile gaming within the space. So the show has so transformed both from the people who are playing within the space, the technologies that people are using, and the growth. I mean, we can also just see-- years ago, it was really much more about a trade show so that the big people who are going to buy the disc can actually come to E3-- >> [Jeff] Right, right. >> Check out our games and place their disc orders. And now it's really much more of a consumer phenomenon as well. >> [Jeff] So I'm curious, we covered a ton of tech shows. Just I've been here before and data and the use of data is a huge part of the digital transformation story. >> Yeah. >> So I'm curious from your point of view from a game developer point of view, how did that change? Because you guys are a little bit ahead of the curve in getting the usage data, getting the tracking data. How did that impact the industry in the way you developed and shipped games? >> It's phenomenal. You know, all of a sudden, you can start to understand who your players are and so if you're gonna do an upsell offer, you know, you can understand, like, "Oh, this person has actually already purchased this type of material." So I'm gonna give him this type of upsell vs this type of upsell. Or, You know, "I see all of my players are really struggling on level three and no one is making it through. What's wrong with level three?" Let's look at changing that up a bit. >> [Jeff] Right. >> So data has actually really informed us in so many ways to re-look at our basic gameplay loops. Our retention mechanics and all of that kind of stuff and, you know, most game companies now have teams of data analysts who are just specifically focusing on those KPIs and just analyzing the data and learning. >> [Jeff] Right. >> But with that too, we've also then had to get more agile in our development and publishing processes because, you know, when you ship a disc and you just let it go, you can get data but then what are you gonna do about it, right? >> [Jeff] Right, right. >> Your next sequel is a couple of years out and so now, too, with the ability to push updates over the air and all of this kind of stuff, It changes it so we can actually take that information, have an immediate impact, and sometimes you can get that data within one or two days. Actually have an impact, you know? >> [Jeff] Right. >> So I actually work on mixer which is a game broadcasting platform so we have a live service. So we can just constantly update and make these changes. >> [Jeff] I'm gonna ask you a philosophical question that I'm always thinking about. In terms of difficulty and the right amount of difficulty, and just kind of generically but engage specifically-- >> Right. >> You want to be difficult enough so people feel challenged and want to continue the journey. >> Yeah. >> But obviously you can't make it so difficult that they just couldn't get through. So I just wondered if you had some-- >> Yeah! >> If there's some best practice or philosophy about what's the right level to the degree of difficulty? >> Yeah, you know funny enough, I gave a talk at GDC in, like, 2005 and it was called Let Me Win and so my background is actually in psychology and it was really as someone who has a psychology background who loves to play games. My issues of playing through so many games in our media because we're a very defeatist mentality. If you think about it, we started as an industry as this coin-op industry where we had to kill you off because we needed you to put another quarter in the machine. But now we carry that trope with us even though we have people put 60 quarters-- $60 worth of quarters in the machine in advance >> [Jeff] Right, right. >> But we're still killing you off in the same way. And so it's kind of crazy to me. And so we really as an industry, I do think, need to think about that more. Now there's certain games like Cuphead is one of my favorite games but it's really brutally hard but that was very much the intention, you know? >> [Jeff] Right. >> These dark souls and the cupheads in those games. Their genre is that they are super hard-- >> [Jeff] Right. >> So people kind of know that going into them. But I do think across our broader audience, we need to think about how we're being more inclusive in our design And that's everything from, you know, still giving people that harder experience but also an educational principal called scaffolding. So, you know, just like when you're teaching a kid to do something, you're not gonna say "Okay, do this and this and this and this and this." Because that's not fun. >> [Jeff] Right, right. >> So instead, if you can be, like, "Here's what the goal is. Here's your tools." And then within the game, we want to help do that. Now with data, actually, we can help scaffold better. Cause we can actually see "Oh, these players didn't do this" Or "This age group of players didn't do this." Or "This type of thing didn't do this." So we can actually use that to inform our decisions and actually do better scaffolding within the game. >> [Jeff] Okay, so before we get to mixer and streaming which is like the latest thing, I want to get to this middle step which was the Cloud. And really opening up the ability to do multi-player games, opening up the ability to go from just that consul out into the universe and play lots of other people. Again, how did that really transform the way you guys thought about designing and delivering games? >> I mean, fundamentally, you know, Xbox Live was a apart of our program. Very early on, Live came into the Xbox business and I think it was actually great because we had that as a Microsoft asset and strength that we can bring over that type of infrastructure. And we've seen it really just connect and bring people together in form community, right? And it's so much fun. There's some element that you get when you're sitting next to someone and playing but not everyone in the world has someone sitting next to them. >> [Jeff] Right. >> So we're doing that over Live by bringing people together and through different platforms and services like Mixer as well where we can bring these communities together. >> [Jeff] Right. >> So it's really, I really think about creating that essence of community. It just makes everything more fun. >> [Jeff] Right. So now we're in 2018 and actually, it's been going on for a little while which is a whole different level of community and that's streaming where someone's playing a game for those that aren't familiar and other people are invited to participate with them. >> Yeah. >> Again, another huge shift in the way that people interacting with the game. And more importantly, kind of the social aspects around their playing with the game. >> Yeah and that's what's so cool. So in traditional game streaming platforms too, there's quite a bit of latency so what the gamer-- the streamer's actually doing at the time, you know, by the time the viewers end up seeing it on a platform, and then, you know, they can comment on it and then the streamer kind of sees it. There's a lot of latency there. So Mixer was actually created by two young kids who actually were huge in the Minecraft community. They had already created a million dollar business actually hosting Minecraft servers and they had all these streamer friends that were Minecraft streamers and they were talking about how frustrating it was because they were streaming and people were like "Put the block over here, put the block over there." But by the time they saw that feedback from their fans, they had already moved on. They had already done something different. So Mixer created low latency streaming. So what we called our faster-than-light technology where we have sub-second latency. So exactly what's happening in the game, that's what people on Mixer are seeing. And then they can comment and the streamer immediately sees those comments and that then paved the way for this richer conversation. And from there, we had interactivity come about. So we have all of our new Mixplay experiences where people can actually come on to Mixer and not just watch. Now they are playing themselves. So you can actually be playing one of our games like Next Up Hero and I can actually choose to help heal you or I can choose to help throw in enemies. Then you'll see my gamer text "Sweets" go right across the screen, right? You can actually see as a gamer who's then broadcasting, you can see what I'm doing on Mixer and how that's having an impact within your game. >> Didn't the streamer kind of like the latency so that they had time to kind of split their attention between playing the game and interacting with the community? >> No because it's all->> streamers for them, It's all about community. Now there are certain competitive sports events and things like that that we do within the e-sports space, and so there might be certain instances in which you don't want to have low latency engaged. But for the most part, streamers want to be having that conversation and are faster- >> than-light technology on Mixer really enables that for them. >> [Jeff] Right. And it just seems like it's almost gonna come full circle so if I'm engaging with the streamer and I'm participating in the game to some degree, at some point, do I just step in and we're playing the game together? >> Yeah. I mean, really now, you can play on Mixer. That's really what we're talking about with our new Mixplay experiences. So we even have games that are playable only on Mixers so these games aren't even-- we were talking about distribution, right? These games aren't even shipping. There's no disc. They're not even shipping on any of these other platforms. They're playable only on Mixer and so you can actually go to mixer.com today and check out several of these game experiences and you can actually look for Mixplay experiences. We have filters and so you can actually find all of that content. >> [Jeff] Alright. So to get your perspective before we let you->> you've been at this for a while. So as storage and compute and networking, it gets infinite in scale and asymptotically approaches zero in cost. As you look forward, where do you see leveraging some of this new horsepower? >> Well, I think again, you know, Microsoft actually just had this amazing acquisition of PlayFab technology and I love seeing what they're doing within this space and bringing that into our portfolio of content as well. Because again, it's about having this data and being able to really respond and change your game instantly to really make sure that you're doing the best things for your business. And so it really just makes developers be informed and be able to be much more agile in their approach. And it's also democratizing that opportunity. Previously years ago, to get some of these insights, you would have had to be one of the largest game companies on the planet. And now with the democratization of these different game engines, and then then the democratization of this type of tooling and online services that are available, with things like Azure and things like PlayFab, it really creates an amazing opportunity for all developers everywhere. >> [Jeff] And to me, the democratization, the thing where you're over and over-- >> Yeah. >> More of data, more of the tools, and more of the ability to do something about it is distributed to a broader audience. Alright Katie, well thank you for-- >> We get more voices with that, right? >> Right, right. >> You get a much broader set of content that ends up like the content that you see here today is much more diverse and much broader. You know, we still have a long way to go as an industry but it's very different than my first E3 17 years ago. >> [Jeff] 17 years ago. Alright Katie, well thanks for taking-- >> Thank you! >> a few minutes out of your day and congrats on all the success. >> Thanks! >> Alright, this is Katie and I'm Jeff. You're watch theCUBE from E3, L.A. Convention Center. Thanks for watching. (upbeat, techno music)

Published Date : Jun 17 2018

SUMMARY :

Brought to you by SiliconANGLE Media. and outside, inside hotels. So before we jump into it, I was going to say close to two decades. So you walked into a store to purchase your disk. You just shipped the disc out, right? You have the, you know, free-to-play has made a huge rise. And now it's really much more of [Jeff] So I'm curious, we covered a ton of tech shows. How did that impact the industry in the way you developed you can start to understand who your players are and, you know, most game companies now have teams and sometimes you can get that data within one or two days. So we can just constantly update and make these changes. [Jeff] I'm gonna ask you a philosophical question and want to continue the journey. So I just wondered if you had some-- because we needed you to put another quarter in the machine. but that was very much the intention, you know? These dark souls and the cupheads in those games. And that's everything from, you know, So instead, if you can be, like, the way you guys thought about and strength that we can bring over and services like Mixer as well So it's really, I really think about and that's streaming where someone's playing a game And more importantly, kind of the social aspects the streamer's actually doing at the time, you know, and things like that that we do within the e-sports space, really enables that for them. and I'm participating in the game to some degree, and so you can actually go to mixer.com today So to get your perspective As you look forward, where do you see leveraging and bringing that into our portfolio of content as well. More of data, more of the tools, and more of the ability that ends up like the content that you see here today [Jeff] 17 years ago. and congrats on all the success. Alright, this is Katie and I'm Jeff.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
KatiePERSON

0.99+

Katie Stone PerezPERSON

0.99+

JeffPERSON

0.99+

$60QUANTITY

0.99+

2018DATE

0.99+

MicrosoftORGANIZATION

0.99+

Los AngelesLOCATION

0.99+

two young kidsQUANTITY

0.99+

68,000 peopleQUANTITY

0.99+

CupheadTITLE

0.99+

Xbox LiveCOMMERCIAL_ITEM

0.99+

Next Up HeroTITLE

0.99+

E3EVENT

0.99+

first timeQUANTITY

0.99+

Let Me WinTITLE

0.99+

17 yearsQUANTITY

0.99+

MinecraftTITLE

0.99+

todayDATE

0.99+

SiliconANGLE MediaORGANIZATION

0.99+

MixerORGANIZATION

0.98+

level threeQUANTITY

0.98+

bothQUANTITY

0.98+

two daysQUANTITY

0.98+

XboxCOMMERCIAL_ITEM

0.98+

L.A. Convention CenterLOCATION

0.98+

two decadesQUANTITY

0.97+

Mixer InteractiveORGANIZATION

0.97+

oneQUANTITY

0.96+

firstQUANTITY

0.96+

2005DATE

0.95+

E3 2018EVENT

0.95+

17 years agoDATE

0.93+

every single hallQUANTITY

0.91+

60 quartersQUANTITY

0.85+

AzureTITLE

0.85+

theCUBEORGANIZATION

0.84+

years agoDATE

0.83+

MixersORGANIZATION

0.81+

one of our gamesQUANTITY

0.81+

MixplayORGANIZATION

0.81+

a million dollarQUANTITY

0.8+

17QUANTITY

0.8+

cupheadsTITLE

0.79+

zeroQUANTITY

0.78+

PlayFabORGANIZATION

0.77+

E3, 2018EVENT

0.73+

last 17 yearsDATE

0.69+

LiveCOMMERCIAL_ITEM

0.65+

MixerTITLE

0.58+

Mayumi Hiramatsu, Infor | Girls in Tech Catalyst Conference 2018


 

>> From San Francisco, it's theCUBE covering Girls in Tech Catalyst Conference. Brought to you by Girls in Tech. >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in downtown San Francisco at the Girls in Tech Catalyst event. About 700 people listening to two days of short presentations by senior leaders, mainly women senior leaders, and it's a really good event. We were here a couple years ago. Girls in Tech's a great organization, and so we're excited to have a board member with us right now. She's Mayumi Hiramatsu. She's a senior vice president, Cloud Ops, Engineering and Security for Infor. Great to see you. >> Great to see you, too. Thanks for inviting me. >> Absolutely. So let's just jump in. So you've spoken in prior years, you're not speaking this year, but from a corporate perspective as well as a personal perspective, what does this event mean to you? >> From a corporate perspective, from Girls in Tech's perspective, it's just amazing. Every year year it gets better. I did speak the last two years, and I'm humbled by the speakers this year. So I'm actually really enjoying it. (laughing) It's quite a caliber of-- It's kind of fun when you can just sit and relax and watch everybody else speak, right? >> Exactly. And quite a caliber the team's put together. So as a board member, I can't be prouder than what the team's pulled together. And it's so much buzz. Everybody's inspired, I see people taking notes. Folks are really taking this to heart in terms of takeaways, practical tips, and getting energized. So I think it's great. From a personal perspective, a little bit about myself: So I'm from originally Japan, I came here at 17. I didn't speak any English. I wasn't planning on getting in engineering, I have an economics degree. So you can imagine, I got into engineering and built my career here. It was not easy. For a foreigner, a female, Asian, a non-speaking English person. >> You checked all the wrong boxes, right? >> Yeah. I don't know why I choose to do something harder than it needs to be, and I don't even have an engineering degree. I have an economics degree. But I love technology. I've been doing this for 20 plus years, and I think it's a wonderful place for any woman like me to be able to give it a chance and actually have a wonderful career. I also love the fact that it sort of gives, it evens out everybody's potential. So with an economics degree, or from another country, I've been at Silicon Valley and have done great. So if I can do it, I know anybody else can do it. So for me, giving back to the community and making sure the next generation can successfully come through the technology ranks, or have their own company, is really exciting. So it's great to be on the board of Girls in Tech, and I can channel my energy through that way, and I think Girls in Tech is one of the largest, if not the largest world non-profit organization to help women with very practical, and great tips, as well as, not only these Catalyst conferences, but, my goodness, we do hackathons, we do pitch nights and give entrepreneurs a chance to actually shine, global classrooms where we can actually give a lot of teaching opportunities, and learning opportunities. So, super excited to be here. >> Then what about from the Infor perspective? Did you spearhead the Infor participation? Did Girls in Tech, Adriana come seek you out? How did you get directly involved, how did you sell it, and why does it matter to Infor? >> Yeah, so I've been a board member for year and a half, and not so coincidentally you can see Cisco's also there. I used to be a Cisco. Once I introduced Cisco and Infor to Girls in Tech, everybody was really excited. There's just so much win-win. So for Infor, it's great on a couple of things. You may know that Infor is a pretty large company. We're the third or fourth largest ERP. And we have really important business solutions software. For example, focus on verticals; for example, health care, manufacturing, retail, and as a company we're doing really well, but the other thing that really attracted me to Infor is our diversity programs. So we have two of them. One is WIN, Women Infor Network, and it's about essentially women network to help each other out and continue to grow our career, which is important. But the other program is EAP, which is Education Alliance Program. And I love the fact that we actually have a program, we have 80 plus universities that we tie in with, to bring in a diverse workforce, and teach them in the universities and bring them into the workforce, whether it's Infor or not, candidly. So it's STEM programs that gives diversity, whether it's gender, or background, or international location, or even age, right? Because we're bringing in college grads. I just love the programs that Infor has. >> So what is that? How does the relationship go between Infor and the universities? What's kind of the formal structure? >> Yeah, so there's a program called Education Alliance Program, EAP, very, very successful as I mentioned. 80+ universities that we work with already. And what we do is we essentially give these students in the university training program that teaches our software, and there are actually a couple of great things that come out of it. Of course, it's promoting STEM, and making sure that these kids have, young adults, have great technology STEM education coming out of college. It's also great for Infor because we also have people graduating with our technology skillset. So not only directly impacts us as they join our company, but also even if they don't join our company, we've given them a chance to get into technology and it's very, very successful. I'm very proud of it. So Infor is big on diversity in technology as you can see. And, of course, we're proud to be here this year as one of the sponsors. >> So I'll give you the last word as a board member to the audience. How can they get involved with Girls in Tech? How should they get involved? What are some of the ways that you would suggest for them to get their toe in the water if they're not familiar with the organization? >> Yeah, girlsintech.org is a great place to start. We have a wonderful website, of course, and we have various types of programs involved so depending on what it is. If you want to learn you can actually join some of the hackathons or global classrooms to get some practical skills. If you're a founder and you actually want to pitch your idea and get some funding, you can actually go to Pitch Night. There are different programs that we can leverage and I highly encourage everybody to join. >> Alright, well Mayumi thanks for taking a few minutes. Congrats on the sponsorship and all your good work on the board. >> Thank you very much. >> You're welcome. She's Mayumi, I'm Jeff. You're watching theCUBE. We're at Girls in Tech Catalyst 2018 in downtown San Francisco. Thanks for watching.

Published Date : Jun 15 2018

SUMMARY :

Brought to you by Girls in Tech. and it's a really good event. Great to see you, too. does this event mean to you? and I'm humbled by the speakers this year. Folks are really taking this to heart So it's great to be on the and Infor to Girls in Tech, and it's very, very successful. for them to get their toe in the water and I highly encourage everybody to join. and all your good work on the board. We're at Girls in Tech Catalyst 2018

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
MayumiPERSON

0.99+

AdrianaPERSON

0.99+

twoQUANTITY

0.99+

CiscoORGANIZATION

0.99+

Mayumi HiramatsuPERSON

0.99+

Jeff FrickPERSON

0.99+

JapanLOCATION

0.99+

JeffPERSON

0.99+

thirdQUANTITY

0.99+

San FranciscoLOCATION

0.99+

20 plus yearsQUANTITY

0.99+

two daysQUANTITY

0.99+

OneQUANTITY

0.99+

InforORGANIZATION

0.99+

fourthQUANTITY

0.99+

WINORGANIZATION

0.99+

Silicon ValleyLOCATION

0.99+

this yearDATE

0.98+

girlsintech.orgOTHER

0.98+

Girls in TechORGANIZATION

0.98+

oneQUANTITY

0.97+

EnglishOTHER

0.97+

About 700 peopleQUANTITY

0.96+

theCUBEORGANIZATION

0.95+

Girls in Tech Catalyst Conference 2018EVENT

0.95+

Women Infor NetworkORGANIZATION

0.95+

Girls in Tech CatalystEVENT

0.95+

80 plus universitiesQUANTITY

0.95+

couple years agoDATE

0.94+

year and a halfQUANTITY

0.93+

Girls in Tech Catalyst ConferenceEVENT

0.93+

EAPTITLE

0.9+

80+ universitiesQUANTITY

0.88+

Cloud Ops, Engineering and Security for InforORGANIZATION

0.87+

Girls in Tech Catalyst 2018EVENT

0.86+

Education Alliance ProgramTITLE

0.86+

last two yearsDATE

0.86+

downtown San FranciscoLOCATION

0.83+

Education Alliance ProgramTITLE

0.82+

AsianOTHER

0.75+

17QUANTITY

0.74+

downtown San FranciscoLOCATION

0.73+

eachQUANTITY

0.6+

PitchORGANIZATION

0.46+

NightTITLE

0.45+

CatalystORGANIZATION

0.42+

Denny Trevett, Cisco | Cisco Live EU 2018


 

>> Announcer: From Barcelona, Spain, it's The Cube covering Cisco live 2018. Brought to you by Cisco, Veem and The Cube's ecosystem partner. >> Okay, welcome back everyone. This is The Cube live in Barcelona, Spain for Cisco live 2018 in Europe. I'm John Furrier, co-host of The Cube with my co-host this week, Stu Miniman, the coupon analyst. Our next guest is Denny Trivette, who's the Vice President of Ecosystem Sales Acceleration Global Partner Organization at Cisco. Denny welcome to The Cube. >> Thank you very much glad to be here. >> So you have a good job. You have to on the business side look at commercializing all this great technology everyone's learning. It's important because there's big numbers, billions of dollars involved in the businesses. Depending on who you talk to, this vendor does a billion dollars with Cisco. This vendor does a billion dollars with supplies at Cisco so a lot of happy customers, but an evolving ecosystem. What's the business outlook from your stand point? Obviously there's change happening, positive change at Cisco. What's going on in the business side? Is it bumpy, is it smooth? Give us the weather report. >> Yeah I think first point though you said I have a good job for Cisco? I have a great for Cisco. I love what we do cause our job is all about how do we leverage the full power of the Cisco partner ecosystem to really build new connections that will drive and accelerate our solutions to all kinds of customers. When you say bumpy areas, absolutely. >> Yeah >> There's always going to be trends and different moves in the market or what have you. For us, what we're able to do is expand the opportunity that Cisco is focused on. We're not just selling products, technologies, and architectures into an IT buying center. Now we're opening up buying centers for our good friends at App D or getting into the line of business and engaging in new conversations that unlock real value. >> You guys have always been a company that has a heritage of enabling technologies. You enable other people to create value and speeds and fees and great tech. The question for you is you mentioned in your title sales acceleration, you can't be in a more pressing time now where words like time to value are faster. Customers want more value up front faster than ever before. So that kind of puts the pressure on the business front. How do you get that done? Is there a certain business model that you guys evolved to? Is it tried and true? Can you explain the business model of how you get to that value faster with partners? >> I think it's a very important point because back in the day we used to celebrate successes, and a success was hey we just launched a new joint integration. That was a success, and we'd celebrate that. In the end nobody monetized that, so in the end that doesn't matter. Now what we're trying to figure out is how do we truly unlock the power of these relationships? There's two transformations we've driven. One is how we engage multiple partners in new sales motions. We've never done that effectively as an industry quite frankly and we've launched things like ACES and it stands for accelerating Cisco ecosystem sales. Which is a fully built framework for better engaging multiple partners so that we can actually do all of the things that we all know we need to do as a business to drive and accelerate success, but we do it highly effectively. There's multiple steps to it. >> John: And multiple stake holders too. >> A lot of stake holders yeah. And by the way a big part of it is make sure you actually have agreement from the executive decision makers from the different partners that we're going to go down these paths in the first point. So very very important. >> Soon you can automate that away, it's like deb ops culture, right? >> Actually no that's so real. We work with this one partner who built out the whole ACES framework. Then they built out ACES two dot oh, sorry ACES at scale. Now they just said hey Denny we're building out ACES at hyper scale where we're going to automate this whole process so that we can drive path the revenue plans with close loop selling etcetera. So it's a game changer for us. >> So this is a real, this is actually happening. >> This is actually happening, and when we engage like this with our partners two things happen we accelerate the whole time to revenue. We actually get the sales teams better aligned. We get executive commitment. We engage customers sooner and then we can sell more effectively. For our customers, they love it because now we're bringing the power of the ecosystem in an organized fashion. They see hey these guys really understand my business issues and they're committed to solving those problems with us. >> And they probably make more money too because when you have that efficiency that drops right to the bottom line. >> Yeah that's important for us and them. And by the way part of the business model transformation that we're driving that's important is I also realized we can no longer live in a siloed world. We use to silo all of our resources. We had big teams on this partner, that partner, this technology, this architecture and what we did is we moved our sales acceleration team into a shared tool model. So now we can dynamically allocate talent to whatever the next big thing is. So a hyper flex, the latest launch, or whatever, great. We can dynamically move the right talent to engage the right partners in the right sales motions. >> That's very elastic, very cool. >> Denny, you know we've been watching Cisco's transformation for years. Obviously, networking is still at the core but security, we go to so many shows. We see Cisco in the container space, lots of open stores. Software acquisitions, how's that transformation of Cisco changing and proliferating the various ecosystem models that you have to build? >> This is one of those things that we struggle with in certain days cause if Cisco moves into a new space where we acquire a new company, not only does the sales motion sometimes change and who we sell to change. It's maybe a new buying center an applications dev ops cloud development, but also the ecosystem changes. So we have to get smart about who we bring in. So for instance back in the day Cisco and a reseller we could go sell to the networking buying center, the data center buying center, but now all of a sudden if we want to have a conversation around dev ops and then bring in the line of business, IT and these other dev ops, Cisco and our resellers we can't really sit at the table and bring as much value there. So there's different vendors, like consultancies out there. Companies like Zentars that can actually come to the table and help build the bridge between IT and the line of business, facilitate and drive that conversation. So to your question, we're engaging new partners like that. They don't resell anything but they're a key influence there to connect the multiple different buying centers. There helping Cisco and our resellers generate opportunities we wouldn't have gotten before. >> To follow up on the channel I remember back when converge infrastructure started. There were Cisco channel partners that built whole data center practices. All new lines of business when they were building it. How do you help build that kind of multiply effect for some of your partners to help really accelerate them, drive new businesses? Think about there are so many new areas that Cisco is tapping into. How do you help move that change? People are resistant to change. They're worried about cloud. They're worried about oh you're taking away some of my existing lines of business. Will I make money? >> Actually when you think about digital transformation there's the cloud, there's analytics, there's security. There's so many technologies that come into play. Our resellers have to think about how do I build a practice that includes all of those different foundations. Working with one of my peers in Rob's organization he's got this person Andre Sintez. We're partnered up with them to build out this new model where we can actually help assess our partners to see where they are against all these critical foundational pieces, and then build the training around it. It's not just training because a reseller has an option. If they're going to move into whatever this dev ops cloud space, whatever it happens to be, they have an option to build, buy, or partner. They can build the capability. Train there people, hire new people, etc. Buy a company that does that already, or partner with one of those consultancies or boutique systems integrator. That's where we're spending our time, is building those new connections. >> I'm wondering if you can comment on service providers too. Obviously it's been a big customer for Cisco before, also there's many times we've said the service provider can be the new channel for both Cisco and the partners. Do you look at that very differently than you do the enterprise? >> Service provider as a channel is a big motion without a doubt because they are in those accounts. They're selling in many cases what our customers want to consume in the consumption model that they want. It is critical that we play with them and that we play with them effectively. What's interesting is sometimes based on the verticals or the industries or the segments it's a different set of solutions. So sometimes it's not the motion that my team does by engaging the right ecosystem partners with them. The motion doesn't change as much, what changes is which customer or segment you're going after. Which partners really make sense and can they be delivered in the consumption model that you're looking at? So we might have to pick the right partners and the right solutions to drive. But once we do, we can still leverage a lot of the same practices. So ACES, sales blitzes, overdrives, vertical value plays, all these cool things that we do today could fit with a service provider or any other client. >> Do you guys just flex those resources and go wherever you need to go? Very elastic kind of like a cloud model. >> Absolutely. >> I got to ask you on the organizational front, do you guys have like a big pow wow with your partners? Is it like an annual summit that you do at Cisco live? How do you get your partners together? Is there like a >> Yes, yes, and yes to all of it >> How do you guys handle the partner relationships? >> Each event is a little bit different. Cisco live and here at Cisco live Barcelona, the incredible thing about this event is we have all the people in the world of solutions. The sponsors, the hardware vendors, software vendors, those vendors are here. Our resellers are here. Our sales teams are here. So this type of event we actually have a separate track. Here at Cisco live called the partner experience. Wendy Mars kicked it off this morning. In the room we had resellers, software vendors, hardware vendors, a bunch of different partner types in the room. Then we break out into different tracks. I just left the solution partner forum where it was no resellers, it was software vendors and all these folks. We had an intimate conversation with them about how we're going to accelerate our business together with them as ecosystem partners. >> So you do the big tent events during the lives. You do your own little events with them as well probably with your own teams like a sales kick off? >> Yup and then probably the most popular events is when we regionalized it and do things like partner connections. So like show Shark Tank, we can bring in four or five of these ecosystem partners and any one particular vertical or architecture and have them pitch to a roomful >> Can we film it? >> Yeah we should. I would love to. >> That would be great Cube action. >> That would be awesome. >> You're really on the front lines, super innovation. I love this notion of codifying and putting frameworks around the systems cause that essentially makes it more efficient and you can then flex for these unique situations cause not every deploy is different. A partner might have different vertical requirements. So you can't boiler plate this. It's really one of those things where complexity you have to address at the field level. >> You do exactly. To your point if we can have certain frameworks, so say like a sales blitz. Real actionable item. A sales blitz is where we do a lunch and learn, a cold calling blitz, then we have basically day two support where we can follow up on leads that come from it. We built a sales blitz originally with a partner like a live action, that plays with us in SD Win. Then we said hey this works in data protection. Lets leverage it for a calm vault or veeam. Hey this also works in a healthcare application. So as we build out these best practices we build them in a way so that they can be scaled across any architecture or any partner or any solution type. We also build it so it can be high touched where I use resources of my own to manage it, low touched we just coach em on how to do it, or no touch here it is it's in a box you take it and you go build it yourself. All the best practices are there. >> So this must have a real impact on personnel. Have you seen higher attainments and retention with sales people? It sounds motivating. >> What's so funny and this is a fact, I just heard last week, one of my teams came up and they said hey Denny I talked to one of our new hires, they came into Cisco early in career first and they were on one of these flex teams and they've already done three different projects in three different areas. In the past they would've been hired in the hyper flex team or whatever. Now they've done whatever, hyper flex, the network intuitive launch, and then they did something around the Apple launch. How cool is that from an experience... >> So the old waterfall model of group to group to group now they can essentially go wherever the agile needs are. >> Exactly. >> Denny I know it's tough to choose favorites, but what's buzzing in your partner ecosystem? What's the area where they're seeing big opportunity, customers are getting excited about? >> A lot of the stories that tell the best are these customer experience stories. If I think of a partner called Local Measure for instance, they're a software vendor. They play in retail and other areas. These stories get exciting. Let me tell you real quick. First of all when we partner with these folks we take a customer in approach. We don't go in there and pitch product like, Local Measure by the way works with Marakey and Spark. We don't go into that line of business fire and pitch Marakey and Spark. It probably doesn't come up until later in the conversation. We really start about hey, what's your true business issue, and typically in a retailer they might want to do two things. They might want to accelerate or increase the engagement of the customers so they get better loyalty and repeat buyers. They want people to come back to their amusement park or their retailer or whatever it happens to be, and ultimately the way Local Measure can do that, they can say hey we can change the engagement in the store. For instance if you go into a shoe store and you send out a tweet that says hey the service stinks at this shoe store, they intercept that through Twitter, or Facebook, or Instagram and then they can correlate that information with location from a Marakey network and then send it to the store and say hey store associate via Spark message. There's a person, they're in your New York City store. They're standing right in this spot right now. They just sent out this tweet. Here's their profile. Go talk to them, they want help. That engagement is very different than other types of engagements, but when we tell those stories people see the importance of connecting technologies together, cause it's multiple technologies, but also bridging the conversation between the line of business, that retails store person, and IT. You can't do it either or, you got to bring em together and deliver that type of outcome. >> Well, we're always looking for some good stories on The Cube so if you've got any great stories to tell with customers we'd love to see these cases that can really point to the future. >> For things like this, events like this we collected 23 different win stories here and Europe from a small set of ecosystems and partners. So we can bring some of these guys on and have them tell their stories directly to you. >> We love those tech athletes. They're out making it happen every day. Denny great to see you and (unintelligible) the Cube and taking the time. I know you have big partner kick off meetings over there. >> Yes >> We appreciate your time coming on The Cube. >> Yeah thank you. >> Live coverage here with The Cube in Barcelona Spain. I'm John Furrier with Stu Miniman, more coverage after this short break. Day one of two days of wall to wall coverage. You're watching The Cube, we'll be right back. (lively music)

Published Date : Feb 5 2018

SUMMARY :

Brought to you by Cisco, Veem with my co-host this week, Stu Miniman, the coupon analyst. What's the business outlook from your stand point? how do we leverage the full power of the Cisco in the market or what have you. So that kind of puts the pressure on the business front. back in the day we used to celebrate successes, And by the way a big part of it is make sure you out the whole ACES framework. We actually get the sales teams better aligned. because when you have that efficiency We can dynamically move the right talent to We see Cisco in the container space, lots of open stores. This is one of those things that we struggle with How do you help build that kind of multiply effect They can build the capability. can be the new channel for both Cisco and the partners. It is critical that we play with them and that we Do you guys just flex those resources and go In the room we had resellers, software vendors, hardware So you do the big tent events during the lives. So like show Shark Tank, we can bring in four or five Yeah we should. It's really one of those things where complexity you So as we build out these best practices we build them Have you seen higher attainments and retention In the past they would've been hired in the So the old waterfall model of group to group to group A lot of the stories that tell the best are these really point to the future. So we can bring some of these guys on and have Denny great to see you and (unintelligible) the Cube I'm John Furrier with Stu Miniman,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Stu MinimanPERSON

0.99+

Denny TrevettPERSON

0.99+

CiscoORGANIZATION

0.99+

Denny TrivettePERSON

0.99+

John FurrierPERSON

0.99+

Andre SintezPERSON

0.99+

DennyPERSON

0.99+

JohnPERSON

0.99+

fiveQUANTITY

0.99+

fourQUANTITY

0.99+

EuropeLOCATION

0.99+

MarakeyORGANIZATION

0.99+

last weekDATE

0.99+

two daysQUANTITY

0.99+

RobPERSON

0.99+

New York CityLOCATION

0.99+

Wendy MarsPERSON

0.99+

oneQUANTITY

0.99+

Shark TankTITLE

0.99+

Barcelona, SpainLOCATION

0.99+

two thingsQUANTITY

0.99+

first pointQUANTITY

0.99+

AppleORGANIZATION

0.99+

OneQUANTITY

0.99+

The CubeORGANIZATION

0.99+

23 different win storiesQUANTITY

0.99+

Barcelona SpainLOCATION

0.98+

Each eventQUANTITY

0.98+

bothQUANTITY

0.98+

ZentarsORGANIZATION

0.98+

Ecosystem Sales Acceleration Global Partner OrganizationORGANIZATION

0.98+

todayDATE

0.98+

FacebookORGANIZATION

0.98+

The CubeTITLE

0.97+

one partnerQUANTITY

0.97+

billions of dollarsQUANTITY

0.97+

InstagramORGANIZATION

0.96+

TwitterORGANIZATION

0.95+

Cisco liveEVENT

0.95+

hyper flexORGANIZATION

0.95+

ACESORGANIZATION

0.95+

FirstQUANTITY

0.95+

Day oneQUANTITY

0.93+

this weekDATE

0.93+

BarcelonaLOCATION

0.91+

this morningDATE

0.91+

billion dollarsQUANTITY

0.9+

VeemORGANIZATION

0.89+

firstQUANTITY

0.88+

SparkORGANIZATION

0.87+

Local MeasureORGANIZATION

0.86+

three different projectsQUANTITY

0.86+

Data Science for All: It's a Whole New Game


 

>> There's a movement that's sweeping across businesses everywhere here in this country and around the world. And it's all about data. Today businesses are being inundated with data. To the tune of over two and a half million gigabytes that'll be generated in the next 60 seconds alone. What do you do with all that data? To extract insights you typically turn to a data scientist. But not necessarily anymore. At least not exclusively. Today the ability to extract value from data is becoming a shared mission. A team effort that spans the organization extending far more widely than ever before. Today, data science is being democratized. >> Data Sciences for All: It's a Whole New Game. >> Welcome everyone, I'm Katie Linendoll. I'm a technology expert writer and I love reporting on all things tech. My fascination with tech started very young. I began coding when I was 12. Received my networking certs by 18 and a degree in IT and new media from Rochester Institute of Technology. So as you can tell, technology has always been a sure passion of mine. Having grown up in the digital age, I love having a career that keeps me at the forefront of science and technology innovations. I spend equal time in the field being hands on as I do on my laptop conducting in depth research. Whether I'm diving underwater with NASA astronauts, witnessing the new ways which mobile technology can help rebuild the Philippine's economy in the wake of super typhoons, or sharing a first look at the newest iPhones on The Today Show, yesterday, I'm always on the hunt for the latest and greatest tech stories. And that's what brought me here. I'll be your host for the next hour and as we explore the new phenomenon that is taking businesses around the world by storm. And data science continues to become democratized and extends beyond the domain of the data scientist. And why there's also a mandate for all of us to become data literate. Now that data science for all drives our AI culture. And we're going to be able to take to the streets and go behind the scenes as we uncover the factors that are fueling this phenomenon and giving rise to a movement that is reshaping how businesses leverage data. And putting organizations on the road to AI. So coming up, I'll be doing interviews with data scientists. We'll see real world demos and take a look at how IBM is changing the game with an open data science platform. We'll also be joined by legendary statistician Nate Silver, founder and editor-in-chief of FiveThirtyEight. Who will shed light on how a data driven mindset is changing everything from business to our culture. We also have a few people who are joining us in our studio, so thank you guys for joining us. Come on, I can do better than that, right? Live studio audience, the fun stuff. And for all of you during the program, I want to remind you to join that conversation on social media using the hashtag DSforAll, it's data science for all. Share your thoughts on what data science and AI means to you and your business. And, let's dive into a whole new game of data science. Now I'd like to welcome my co-host General Manager IBM Analytics, Rob Thomas. >> Hello, Katie. >> Come on guys. >> Yeah, seriously. >> No one's allowed to be quiet during this show, okay? >> Right. >> Or, I'll start calling people out. So Rob, thank you so much. I think you know this conversation, we're calling it a data explosion happening right now. And it's nothing new. And when you and I chatted about it. You've been talking about this for years. You have to ask, is this old news at this point? >> Yeah, I mean, well first of all, the data explosion is not coming, it's here. And everybody's in the middle of it right now. What is different is the economics have changed. And the scale and complexity of the data that organizations are having to deal with has changed. And to this day, 80% of the data in the world still sits behind corporate firewalls. So, that's becoming a problem. It's becoming unmanageable. IT struggles to manage it. The business can't get everything they need. Consumers can't consume it when they want. So we have a challenge here. >> It's challenging in the world of unmanageable. Crazy complexity. If I'm sitting here as an IT manager of my business, I'm probably thinking to myself, this is incredibly frustrating. How in the world am I going to get control of all this data? And probably not just me thinking it. Many individuals here as well. >> Yeah, indeed. Everybody's thinking about how am I going to put data to work in my organization in a way I haven't done before. Look, you've got to have the right expertise, the right tools. The other thing that's happening in the market right now is clients are dealing with multi cloud environments. So data behind the firewall in private cloud, multiple public clouds. And they have to find a way. How am I going to pull meaning out of this data? And that brings us to data science and AI. That's how you get there. >> I understand the data science part but I think we're all starting to hear more about AI. And it's incredible that this buzz word is happening. How do businesses adopt to this AI growth and boom and trend that's happening in this world right now? >> Well, let me define it this way. Data science is a discipline. And machine learning is one technique. And then AI puts both machine learning into practice and applies it to the business. So this is really about how getting your business where it needs to go. And to get to an AI future, you have to lay a data foundation today. I love the phrase, "there's no AI without IA." That means you're not going to get to AI unless you have the right information architecture to start with. >> Can you elaborate though in terms of how businesses can really adopt AI and get started. >> Look, I think there's four things you have to do if you're serious about AI. One is you need a strategy for data acquisition. Two is you need a modern data architecture. Three is you need pervasive automation. And four is you got to expand job roles in the organization. >> Data acquisition. First pillar in this you just discussed. Can we start there and explain why it's so critical in this process? >> Yeah, so let's think about how data acquisition has evolved through the years. 15 years ago, data acquisition was about how do I get data in and out of my ERP system? And that was pretty much solved. Then the mobile revolution happens. And suddenly you've got structured and non-structured data. More than you've ever dealt with. And now you get to where we are today. You're talking terabytes, petabytes of data. >> [Katie] Yottabytes, I heard that word the other day. >> I heard that too. >> Didn't even know what it meant. >> You know how many zeros that is? >> I thought we were in Star Wars. >> Yeah, I think it's a lot of zeroes. >> Yodabytes, it's new. >> So, it's becoming more and more complex in terms of how you acquire data. So that's the new data landscape that every client is dealing with. And if you don't have a strategy for how you acquire that and manage it, you're not going to get to that AI future. >> So a natural segue, if you are one of these businesses, how do you build for the data landscape? >> Yeah, so the question I always hear from customers is we need to evolve our data architecture to be ready for AI. And the way I think about that is it's really about moving from static data repositories to more of a fluid data layer. >> And we continue with the architecture. New data architecture is an interesting buzz word to hear. But it's also one of the four pillars. So if you could dive in there. >> Yeah, I mean it's a new twist on what I would call some core data science concepts. For example, you have to leverage tools with a modern, centralized data warehouse. But your data warehouse can't be stagnant to just what's right there. So you need a way to federate data across different environments. You need to be able to bring your analytics to the data because it's most efficient that way. And ultimately, it's about building an optimized data platform that is designed for data science and AI. Which means it has to be a lot more flexible than what clients have had in the past. >> All right. So we've laid out what you need for driving automation. But where does the machine learning kick in? >> Machine learning is what gives you the ability to automate tasks. And I think about machine learning. It's about predicting and automating. And this will really change the roles of data professionals and IT professionals. For example, a data scientist cannot possibly know every algorithm or every model that they could use. So we can automate the process of algorithm selection. Another example is things like automated data matching. Or metadata creation. Some of these things may not be exciting but they're hugely practical. And so when you think about the real use cases that are driving return on investment today, it's things like that. It's automating the mundane tasks. >> Let's go ahead and come back to something that you mentioned earlier because it's fascinating to be talking about this AI journey, but also significant is the new job roles. And what are those other participants in the analytics pipeline? >> Yeah I think we're just at the start of this idea of new job roles. We have data scientists. We have data engineers. Now you see machine learning engineers. Application developers. What's really happening is that data scientists are no longer allowed to work in their own silo. And so the new job roles is about how does everybody have data first in their mind? And then they're using tools to automate data science, to automate building machine learning into applications. So roles are going to change dramatically in organizations. >> I think that's confusing though because we have several organizations who saying is that highly specialized roles, just for data science? Or is it applicable to everybody across the board? >> Yeah, and that's the big question, right? Cause everybody's thinking how will this apply? Do I want this to be just a small set of people in the organization that will do this? But, our view is data science has to for everybody. It's about bring data science to everybody as a shared mission across the organization. Everybody in the company has to be data literate. And participate in this journey. >> So overall, group effort, has to be a common goal, and we all need to be data literate across the board. >> Absolutely. >> Done deal. But at the end of the day, it's kind of not an easy task. >> It's not. It's not easy but it's maybe not as big of a shift as you would think. Because you have to put data in the hands of people that can do something with it. So, it's very basic. Give access to data. Data's often locked up in a lot of organizations today. Give people the right tools. Embrace the idea of choice or diversity in terms of those tools. That gets you started on this path. >> It's interesting to hear you say essentially you need to train everyone though across the board when it comes to data literacy. And I think people that are coming into the work force don't necessarily have a background or a degree in data science. So how do you manage? >> Yeah, so in many cases that's true. I will tell you some universities are doing amazing work here. One example, University of California Berkeley. They offer a course for all majors. So no matter what you're majoring in, you have a course on foundations of data science. How do you bring data science to every role? So it's starting to happen. We at IBM provide data science courses through CognitiveClass.ai. It's for everybody. It's free. And look, if you want to get your hands on code and just dive right in, you go to datascience.ibm.com. The key point is this though. It's more about attitude than it is aptitude. I think anybody can figure this out. But it's about the attitude to say we're putting data first and we're going to figure out how to make this real in our organization. >> I also have to give a shout out to my alma mater because I have heard that there is an offering in MS in data analytics. And they are always on the forefront of new technologies and new majors and on trend. And I've heard that the placement behind those jobs, people graduating with the MS is high. >> I'm sure it's very high. >> So go Tigers. All right, tangential. Let me get back to something else you touched on earlier because you mentioned that a number of customers ask you how in the world do I get started with AI? It's an overwhelming question. Where do you even begin? What do you tell them? >> Yeah, well things are moving really fast. But the good thing is most organizations I see, they're already on the path, even if they don't know it. They might have a BI practice in place. They've got data warehouses. They've got data lakes. Let me give you an example. AMC Networks. They produce a lot of the shows that I'm sure you watch Katie. >> [Katie] Yes, Breaking Bad, Walking Dead, any fans? >> [Rob] Yeah, we've got a few. >> [Katie] Well you taught me something I didn't even know. Because it's amazing how we have all these different industries, but yet media in itself is impacted too. And this is a good example. >> Absolutely. So, AMC Networks, think about it. They've got ads to place. They want to track viewer behavior. What do people like? What do they dislike? So they have to optimize every aspect of their business from marketing campaigns to promotions to scheduling to ads. And their goal was transform data into business insights and really take the burden off of their IT team that was heavily burdened by obviously a huge increase in data. So their VP of BI took the approach of using machine learning to process large volumes of data. They used a platform that was designed for AI and data processing. It's the IBM analytics system where it's a data warehouse, data science tools are built in. It has in memory data processing. And just like that, they were ready for AI. And they're already seeing that impact in their business. >> Do you think a movement of that nature kind of presses other media conglomerates and organizations to say we need to be doing this too? >> I think it's inevitable that everybody, you're either going to be playing, you're either going to be leading, or you'll be playing catch up. And so, as we talk to clients we think about how do you start down this path now, even if you have to iterate over time? Because otherwise you're going to wake up and you're going to be behind. >> One thing worth noting is we've talked about analytics to the data. It's analytics first to the data, not the other way around. >> Right. So, look. We as a practice, we say you want to bring data to where the data sits. Because it's a lot more efficient that way. It gets you better outcomes in terms of how you train models and it's more efficient. And we think that leads to better outcomes. Other organization will say, "Hey move the data around." And everything becomes a big data movement exercise. But once an organization has started down this path, they're starting to get predictions, they want to do it where it's really easy. And that means analytics applied right where the data sits. >> And worth talking about the role of the data scientist in all of this. It's been called the hot job of the decade. And a Harvard Business Review even dubbed it the sexiest job of the 21st century. >> Yes. >> I want to see this on the cover of Vogue. Like I want to see the first data scientist. Female preferred, on the cover of Vogue. That would be amazing. >> Perhaps you can. >> People agree. So what changes for them? Is this challenging in terms of we talk data science for all. Where do all the data science, is it data science for everyone? And how does it change everything? >> Well, I think of it this way. AI gives software super powers. It really does. It changes the nature of software. And at the center of that is data scientists. So, a data scientist has a set of powers that they've never had before in any organization. And that's why it's a hot profession. Now, on one hand, this has been around for a while. We've had actuaries. We've had statisticians that have really transformed industries. But there are a few things that are new now. We have new tools. New languages. Broader recognition of this need. And while it's important to recognize this critical skill set, you can't just limit it to a few people. This is about scaling it across the organization. And truly making it accessible to all. >> So then do we need more data scientists? Or is this something you train like you said, across the board? >> Well, I think you want to do a little bit of both. We want more. But, we can also train more and make the ones we have more productive. The way I think about it is there's kind of two markets here. And we call it clickers and coders. >> [Katie] I like that. That's good. >> So, let's talk about what that means. So clickers are basically somebody that wants to use tools. Create models visually. It's drag and drop. Something that's very intuitive. Those are the clickers. Nothing wrong with that. It's been valuable for years. There's a new crop of data scientists. They want to code. They want to build with the latest open source tools. They want to write in Python or R. These are the coders. And both approaches are viable. Both approaches are critical. Organizations have to have a way to meet the needs of both of those types. And there's not a lot of things available today that do that. >> Well let's keep going on that. Because I hear you talking about the data scientists role and how it's critical to success, but with the new tools, data science and analytics skills can extend beyond the domain of just the data scientist. >> That's right. So look, we're unifying coders and clickers into a single platform, which we call IBM Data Science Experience. And as the demand for data science expertise grows, so does the need for these kind of tools. To bring them into the same environment. And my view is if you have the right platform, it enables the organization to collaborate. And suddenly you've changed the nature of data science from an individual sport to a team sport. >> So as somebody that, my background is in IT, the question is really is this an additional piece of what IT needs to do in 2017 and beyond? Or is it just another line item to the budget? >> So I'm afraid that some people might view it that way. As just another line item. But, I would challenge that and say data science is going to reinvent IT. It's going to change the nature of IT. And every organization needs to think about what are the skills that are critical? How do we engage a broader team to do this? Because once they get there, this is the chance to reinvent how they're performing IT. >> [Katie] Challenging or not? >> Look it's all a big challenge. Think about everything IT organizations have been through. Some of them were late to things like mobile, but then they caught up. Some were late to cloud, but then they caught up. I would just urge people, don't be late to data science. Use this as your chance to reinvent IT. Start with this notion of clickers and coders. This is a seminal moment. Much like mobile and cloud was. So don't be late. >> And I think it's critical because it could be so costly to wait. And Rob and I were even chatting earlier how data analytics is just moving into all different kinds of industries. And I can tell you even personally being effected by how important the analysis is in working in pediatric cancer for the last seven years. I personally implement virtual reality headsets to pediatric cancer hospitals across the country. And it's great. And it's working phenomenally. And the kids are amazed. And the staff is amazed. But the phase two of this project is putting in little metrics in the hardware that gather the breathing, the heart rate to show that we have data. Proof that we can hand over to the hospitals to continue making this program a success. So just in-- >> That's a great example. >> An interesting example. >> Saving lives? >> Yes. >> That's also applying a lot of what we talked about. >> Exciting stuff in the world of data science. >> Yes. Look, I just add this is an existential moment for every organization. Because what you do in this area is probably going to define how competitive you are going forward. And think about if you don't do something. What if one of your competitors goes and creates an application that's more engaging with clients? So my recommendation is start small. Experiment. Learn. Iterate on projects. Define the business outcomes. Then scale up. It's very doable. But you've got to take the first step. >> First step always critical. And now we're going to get to the fun hands on part of our story. Because in just a moment we're going to take a closer look at what data science can deliver. And where organizations are trying to get to. All right. Thank you Rob and now we've been joined by Siva Anne who is going to help us navigate this demo. First, welcome Siva. Give him a big round of applause. Yeah. All right, Rob break down what we're going to be looking at. You take over this demo. >> All right. So this is going to be pretty interesting. So Siva is going to take us through. So he's going to play the role of a financial adviser. Who wants to help better serve clients through recommendations. And I'm going to really illustrate three things. One is how do you federate data from multiple data sources? Inside the firewall, outside the firewall. How do you apply machine learning to predict and to automate? And then how do you move analytics closer to your data? So, what you're seeing here is a custom application for an investment firm. So, Siva, our financial adviser, welcome. So you can see at the top, we've got market data. We pulled that from an external source. And then we've got Siva's calendar in the middle. He's got clients on the right side. So page down, what else do you see down there Siva? >> [Siva] I can see the recent market news. And in here I can see that JP Morgan is calling for a US dollar rebound in the second half of the year. And, I have upcoming meeting with Leo Rakes. I can get-- >> [Rob] So let's go in there. Why don't you click on Leo Rakes. So, you're sitting at your desk, you're deciding how you're going to spend the day. You know you have a meeting with Leo. So you click on it. You immediately see, all right, so what do we know about him? We've got data governance implemented. So we know his age, we know his degree. We can see he's not that aggressive of a trader. Only six trades in the last few years. But then where it gets interesting is you go to the bottom. You start to see predicted industry affinity. Where did that come from? How do we have that? >> [Siva] So these green lines and red arrows here indicate the trending affinity of Leo Rakes for particular industry stocks. What we've done here is we've built machine learning models using customer's demographic data, his stock portfolios, and browsing behavior to build a model which can predict his affinity for a particular industry. >> [Rob] Interesting. So, I like to think of this, we call it celebrity experiences. So how do you treat every customer like they're a celebrity? So to some extent, we're reading his mind. Because without asking him, we know that he's going to have an affinity for auto stocks. So we go down. Now we look at his portfolio. You can see okay, he's got some different holdings. He's got Amazon, Google, Apple, and then he's got RACE, which is the ticker for Ferrari. You can see that's done incredibly well. And so, as a financial adviser, you look at this and you say, all right, we know he loves auto stocks. Ferrari's done very well. Let's create a hedge. Like what kind of security would interest him as a hedge against his position for Ferrari? Could we go figure that out? >> [Siva] Yes. Given I know that he's gotten an affinity for auto stocks, and I also see that Ferrari has got some terminus gains, I want to lock in these gains by hedging. And I want to do that by picking a auto stock which has got negative correlation with Ferrari. >> [Rob] So this is where we get to the idea of in database analytics. Cause you start clicking that and immediately we're getting instant answers of what's happening. So what did we find here? We're going to compare Ferrari and Honda. >> [Siva] I'm going to compare Ferrari with Honda. And what I see here instantly is that Honda has got a negative correlation with Ferrari, which makes it a perfect mix for his stock portfolio. Given he has an affinity for auto stocks and it correlates negatively with Ferrari. >> [Rob] These are very powerful tools at the hand of a financial adviser. You think about it. As a financial adviser, you wouldn't think about federating data, machine learning, pretty powerful. >> [Siva] Yes. So what we have seen here is that using the common SQL engine, we've been able to federate queries across multiple data sources. Db2 Warehouse in the cloud, IBM's Integrated Analytic System, and Hortonworks powered Hadoop platform for the new speeds. We've been able to use machine learning to derive innovative insights about his stock affinities. And drive the machine learning into the appliance. Closer to where the data resides to deliver high performance analytics. >> [Rob] At scale? >> [Siva] We're able to run millions of these correlations across stocks, currency, other factors. And even score hundreds of customers for their affinities on a daily basis. >> That's great. Siva, thank you for playing the role of financial adviser. So I just want to recap briefly. Cause this really powerful technology that's really simple. So we federated, we aggregated multiple data sources from all over the web and internal systems. And public cloud systems. Machine learning models were built that predicted Leo's affinity for a certain industry. In this case, automotive. And then you see when you deploy analytics next to your data, even a financial adviser, just with the click of a button is getting instant answers so they can go be more productive in their next meeting. This whole idea of celebrity experiences for your customer, that's available for everybody, if you take advantage of these types of capabilities. Katie, I'll hand it back to you. >> Good stuff. Thank you Rob. Thank you Siva. Powerful demonstration on what we've been talking about all afternoon. And thank you again to Siva for helping us navigate. Should be give him one more round of applause? We're going to be back in just a moment to look at how we operationalize all of this data. But in first, here's a message from me. If you're a part of a line of business, your main fear is disruption. You know data is the new goal that can create huge amounts of value. So does your competition. And they may be beating you to it. You're convinced there are new business models and revenue sources hidden in all the data. You just need to figure out how to leverage it. But with the scarcity of data scientists, you really can't rely solely on them. You may need more people throughout the organization that have the ability to extract value from data. And as a data science leader or data scientist, you have a lot of the same concerns. You spend way too much time looking for, prepping, and interpreting data and waiting for models to train. You know you need to operationalize the work you do to provide business value faster. What you want is an easier way to do data prep. And rapidly build models that can be easily deployed, monitored and automatically updated. So whether you're a data scientist, data science leader, or in a line of business, what's the solution? What'll it take to transform the way you work? That's what we're going to explore next. All right, now it's time to delve deeper into the nuts and bolts. The nitty gritty of operationalizing data science and creating a data driven culture. How do you actually do that? Well that's what these experts are here to share with us. I'm joined by Nir Kaldero, who's head of data science at Galvanize, which is an education and training organization. Tricia Wang, who is co-founder of Sudden Compass, a consultancy that helps companies understand people with data. And last, but certainly not least, Michael Li, founder and CEO of Data Incubator, which is a data science train company. All right guys. Shall we get right to it? >> All right. >> So data explosion happening right now. And we are seeing it across the board. I just shared an example of how it's impacting my philanthropic work in pediatric cancer. But you guys each have so many unique roles in your business life. How are you seeing it just blow up in your fields? Nir, your thing? >> Yeah, for example like in Galvanize we train many Fortune 500 companies. And just by looking at the demand of companies that wants us to help them go through this digital transformation is mind-blowing. Data point by itself. >> Okay. Well what we're seeing what's going on is that data science like as a theme, is that it's actually for everyone now. But what's happening is that it's actually meeting non technical people. But what we're seeing is that when non technical people are implementing these tools or coming at these tools without a base line of data literacy, they're often times using it in ways that distance themselves from the customer. Because they're implementing data science tools without a clear purpose, without a clear problem. And so what we do at Sudden Compass is that we work with companies to help them embrace and understand the complexity of their customers. Because often times they are misusing data science to try and flatten their understanding of the customer. As if you can just do more traditional marketing. Where you're putting people into boxes. And I think the whole ROI of data is that you can now understand people's relationships at a much more complex level at a greater scale before. But we have to do this with basic data literacy. And this has to involve technical and non technical people. >> Well you can have all the data in the world, and I think it speaks to, if you're not doing the proper movement with it, forget it. It means nothing at the same time. >> No absolutely. I mean, I think that when you look at the huge explosion in data, that comes with it a huge explosion in data experts. Right, we call them data scientists, data analysts. And sometimes they're people who are very, very talented, like the people here. But sometimes you have people who are maybe re-branding themselves, right? Trying to move up their title one notch to try to attract that higher salary. And I think that that's one of the things that customers are coming to us for, right? They're saying, hey look, there are a lot of people that call themselves data scientists, but we can't really distinguish. So, we have sort of run a fellowship where you help companies hire from a really talented group of folks, who are also truly data scientists and who know all those kind of really important data science tools. And we also help companies internally. Fortune 500 companies who are looking to grow that data science practice that they have. And we help clients like McKinsey, BCG, Bain, train up their customers, also their clients, also their workers to be more data talented. And to build up that data science capabilities. >> And Nir, this is something you work with a lot. A lot of Fortune 500 companies. And when we were speaking earlier, you were saying many of these companies can be in a panic. >> Yeah. >> Explain that. >> Yeah, so you know, not all Fortune 500 companies are fully data driven. And we know that the winners in this fourth industrial revolution, which I like to call the machine intelligence revolution, will be companies who navigate and transform their organization to unlock the power of data science and machine learning. And the companies that are not like that. Or not utilize data science and predictive power well, will pretty much get shredded. So they are in a panic. >> Tricia, companies have to deal with data behind the firewall and in the new multi cloud world. How do organizations start to become driven right to the core? >> I think the most urgent question to become data driven that companies should be asking is how do I bring the complex reality that our customers are experiencing on the ground in to a corporate office? Into the data models. So that question is critical because that's how you actually prevent any big data disasters. And that's how you leverage big data. Because when your data models are really far from your human models, that's when you're going to do things that are really far off from how, it's going to not feel right. That's when Tesco had their terrible big data disaster that they're still recovering from. And so that's why I think it's really important to understand that when you implement big data, you have to further embrace thick data. The qualitative, the emotional stuff, that is difficult to quantify. But then comes the difficult art and science that I think is the next level of data science. Which is that getting non technical and technical people together to ask how do we find those unknown nuggets of insights that are difficult to quantify? Then, how do we do the next step of figuring out how do you mathematically scale those insights into a data model? So that actually is reflective of human understanding? And then we can start making decisions at scale. But you have to have that first. >> That's absolutely right. And I think that when we think about what it means to be a data scientist, right? I always think about it in these sort of three pillars. You have the math side. You have to have that kind of stats, hardcore machine learning background. You have the programming side. You don't work with small amounts of data. You work with large amounts of data. You've got to be able to type the code to make those computers run. But then the last part is that human element. You have to understand the domain expertise. You have to understand what it is that I'm actually analyzing. What's the business proposition? And how are the clients, how are the users actually interacting with the system? That human element that you were talking about. And I think having somebody who understands all of those and not just in isolation, but is able to marry that understanding across those different topics, that's what makes a data scientist. >> But I find that we don't have people with those skill sets. And right now the way I see teams being set up inside companies is that they're creating these isolated data unicorns. These data scientists that have graduated from your programs, which are great. But, they don't involve the people who are the domain experts. They don't involve the designers, the consumer insight people, the people, the salespeople. The people who spend time with the customers day in and day out. Somehow they're left out of the room. They're consulted, but they're not a stakeholder. >> Can I actually >> Yeah, yeah please. >> Can I actually give a quick example? So for example, we at Galvanize train the executives and the managers. And then the technical people, the data scientists and the analysts. But in order to actually see all of the RY behind the data, you also have to have a creative fluid conversation between non technical and technical people. And this is a major trend now. And there's a major gap. And we need to increase awareness and kind of like create a new, kind of like environment where technical people also talks seamlessly with non technical ones. >> [Tricia] We call-- >> That's one of the things that we see a lot. Is one of the trends in-- >> A major trend. >> data science training is it's not just for the data science technical experts. It's not just for one type of person. So a lot of the training we do is sort of data engineers. People who are more on the software engineering side learning more about the stats of math. And then people who are sort of traditionally on the stat side learning more about the engineering. And then managers and people who are data analysts learning about both. >> Michael, I think you said something that was of interest too because I think we can look at IBM Watson as an example. And working in healthcare. The human component. Because often times we talk about machine learning and AI, and data and you get worried that you still need that human component. Especially in the world of healthcare. And I think that's a very strong point when it comes to the data analysis side. Is there any particular example you can speak to of that? >> So I think that there was this really excellent paper a while ago talking about all the neuro net stuff and trained on textual data. So looking at sort of different corpuses. And they found that these models were highly, highly sexist. They would read these corpuses and it's not because neuro nets themselves are sexist. It's because they're reading the things that we write. And it turns out that we write kind of sexist things. And they would sort of find all these patterns in there that were sort of latent, that had a lot of sort of things that maybe we would cringe at if we sort of saw. And I think that's one of the really important aspects of the human element, right? It's being able to come in and sort of say like, okay, I know what the biases of the system are, I know what the biases of the tools are. I need to figure out how to use that to make the tools, make the world a better place. And like another area where this comes up all the time is lending, right? So the federal government has said, and we have a lot of clients in the financial services space, so they're constantly under these kind of rules that they can't make discriminatory lending practices based on a whole set of protected categories. Race, sex, gender, things like that. But, it's very easy when you train a model on credit scores to pick that up. And then to have a model that's inadvertently sexist or racist. And that's where you need the human element to come back in and say okay, look, you're using the classic example would be zip code, you're using zip code as a variable. But when you look at it, zip codes actually highly correlated with race. And you can't do that. So you may inadvertently by sort of following the math and being a little naive about the problem, inadvertently introduce something really horrible into a model and that's where you need a human element to sort of step in and say, okay hold on. Slow things down. This isn't the right way to go. >> And the people who have -- >> I feel like, I can feel her ready to respond. >> Yes, I'm ready. >> She's like let me have at it. >> And the people here it is. And the people who are really great at providing that human intelligence are social scientists. We are trained to look for bias and to understand bias in data. Whether it's quantitative or qualitative. And I really think that we're going to have less of these kind of problems if we had more integrated teams. If it was a mandate from leadership to say no data science team should be without a social scientist, ethnographer, or qualitative researcher of some kind, to be able to help see these biases. >> The talent piece is actually the most crucial-- >> Yeah. >> one here. If you look about how to enable machine intelligence in organization there are the pillars that I have in my head which is the culture, the talent and the technology infrastructure. And I believe and I saw in working very closely with the Fortune 100 and 200 companies that the talent piece is actually the most important crucial hard to get. >> [Tricia] I totally agree. >> It's absolutely true. Yeah, no I mean I think that's sort of like how we came up with our business model. Companies were basically saying hey, I can't hire data scientists. And so we have a fellowship where we get 2,000 applicants each quarter. We take the top 2% and then we sort of train them up. And we work with hiring companies who then want to hire from that population. And so we're sort of helping them solve that problem. And the other half of it is really around training. Cause with a lot of industries, especially if you're sort of in a more regulated industry, there's a lot of nuances to what you're doing. And the fastest way to develop that data science or AI talent may not necessarily be to hire folks who are coming out of a PhD program. It may be to take folks internally who have a lot of that domain knowledge that you have and get them trained up on those data science techniques. So we've had large insurance companies come to us and say hey look, we hire three or four folks from you a quarter. That doesn't move the needle for us. What we really need is take the thousand actuaries and statisticians that we have and get all of them trained up to become a data scientist and become data literate in this new open source world. >> [Katie] Go ahead. >> All right, ladies first. >> Go ahead. >> Are you sure? >> No please, fight first. >> Go ahead. >> Go ahead Nir. >> So this is actually a trend that we have been seeing in the past year or so that companies kind of like start to look how to upscale and look for talent within the organization. So they can actually move them to become more literate and navigate 'em from analyst to data scientist. And from data scientist to machine learner. So this is actually a trend that is happening already for a year or so. >> Yeah, but I also find that after they've gone through that training in getting people skilled up in data science, the next problem that I get is executives coming to say we've invested in all of this. We're still not moving the needle. We've already invested in the right tools. We've gotten the right skills. We have enough scale of people who have these skills. Why are we not moving the needle? And what I explain to them is look, you're still making decisions in the same way. And you're still not involving enough of the non technical people. Especially from marketing, which is now, the CMO's are much more responsible for driving growth in their companies now. But often times it's so hard to change the old way of marketing, which is still like very segmentation. You know, demographic variable based, and we're trying to move people to say no, you have to understand the complexity of customers and not put them in boxes. >> And I think underlying a lot of this discussion is this question of culture, right? >> Yes. >> Absolutely. >> How do you build a data driven culture? And I think that that culture question, one of the ways that comes up quite often in especially in large, Fortune 500 enterprises, is that they are very, they're not very comfortable with sort of example, open source architecture. Open source tools. And there is some sort of residual bias that that's somehow dangerous. So security vulnerability. And I think that that's part of the cultural challenge that they often have in terms of how do I build a more data driven organization? Well a lot of the talent really wants to use these kind of tools. And I mean, just to give you an example, we are partnering with one of the major cloud providers to sort of help make open source tools more user friendly on their platform. So trying to help them attract the best technologists to use their platform because they want and they understand the value of having that kind of open source technology work seamlessly on their platforms. So I think that just sort of goes to show you how important open source is in this movement. And how much large companies and Fortune 500 companies and a lot of the ones we work with have to embrace that. >> Yeah, and I'm seeing it in our work. Even when we're working with Fortune 500 companies, is that they've already gone through the first phase of data science work. Where I explain it was all about the tools and getting the right tools and architecture in place. And then companies started moving into getting the right skill set in place. Getting the right talent. And what you're talking about with culture is really where I think we're talking about the third phase of data science, which is looking at communication of these technical frameworks so that we can get non technical people really comfortable in the same room with data scientists. That is going to be the phase, that's really where I see the pain point. And that's why at Sudden Compass, we're really dedicated to working with each other to figure out how do we solve this problem now? >> And I think that communication between the technical stakeholders and management and leadership. That's a very critical piece of this. You can't have a successful data science organization without that. >> Absolutely. >> And I think that actually some of the most popular trainings we've had recently are from managers and executives who are looking to say, how do I become more data savvy? How do I figure out what is this data science thing and how do I communicate with my data scientists? >> You guys made this way too easy. I was just going to get some popcorn and watch it play out. >> Nir, last 30 seconds. I want to leave you with an opportunity to, anything you want to add to this conversation? >> I think one thing to conclude is to say that companies that are not data driven is about time to hit refresh and figure how they transition the organization to become data driven. To become agile and nimble so they can actually see what opportunities from this important industrial revolution. Otherwise, unfortunately they will have hard time to survive. >> [Katie] All agreed? >> [Tricia] Absolutely, you're right. >> Michael, Trish, Nir, thank you so much. Fascinating discussion. And thank you guys again for joining us. We will be right back with another great demo. Right after this. >> Thank you Katie. >> Once again, thank you for an excellent discussion. Weren't they great guys? And thank you for everyone who's tuning in on the live webcast. As you can hear, we have an amazing studio audience here. And we're going to keep things moving. I'm now joined by Daniel Hernandez and Siva Anne. And we're going to turn our attention to how you can deliver on what they're talking about using data science experience to do data science faster. >> Thank you Katie. Siva and I are going to spend the next 10 minutes showing you how you can deliver on what they were saying using the IBM Data Science Experience to do data science faster. We'll demonstrate through new features we introduced this week how teams can work together more effectively across the entire analytics life cycle. How you can take advantage of any and all data no matter where it is and what it is. How you could use your favorite tools from open source. And finally how you could build models anywhere and employ them close to where your data is. Remember the financial adviser app Rob showed you? To build an app like that, we needed a team of data scientists, developers, data engineers, and IT staff to collaborate. We do this in the Data Science Experience through a concept we call projects. When I create a new project, I can now use the new Github integration feature. We're doing for data science what we've been doing for developers for years. Distributed teams can work together on analytics projects. And take advantage of Github's version management and change management features. This is a huge deal. Let's explore the project we created for the financial adviser app. As you can see, our data engineer Joane, our developer Rob, and others are collaborating this project. Joane got things started by bringing together the trusted data sources we need to build the app. Taking a closer look at the data, we see that our customer and profile data is stored on our recently announced IBM Integrated Analytics System, which runs safely behind our firewall. We also needed macro economic data, which she was able to find in the Federal Reserve. And she stored it in our Db2 Warehouse on Cloud. And finally, she selected stock news data from NASDAQ.com and landed that in a Hadoop cluster, which happens to be powered by Hortonworks. We added a new feature to the Data Science Experience so that when it's installed with Hortonworks, it automatically uses a need of security and governance controls within the cluster so your data is always secure and safe. Now we want to show you the news data we stored in the Hortonworks cluster. This is the mean administrative console. It's powered by an open source project called Ambari. And here's the news data. It's in parquet files stored in HDFS, which happens to be a distributive file system. To get the data from NASDAQ into our cluster, we used IBM's BigIntegrate and BigQuality to create automatic data pipelines that acquire, cleanse, and ingest that news data. Once the data's available, we use IBM's Big SQL to query that data using SQL statements that are much like the ones we would use for any relation of data, including the data that we have in the Integrated Analytics System and Db2 Warehouse on Cloud. This and the federation capabilities that Big SQL offers dramatically simplifies data acquisition. Now we want to show you how we support a brand new tool that we're excited about. Since we launched last summer, the Data Science Experience has supported Jupyter and R for data analysis and visualization. In this week's update, we deeply integrated another great open source project called Apache Zeppelin. It's known for having great visualization support, advanced collaboration features, and is growing in popularity amongst the data science community. This is an example of Apache Zeppelin and the notebook we created through it to explore some of our data. Notice how wonderful and easy the data visualizations are. Now we want to walk you through the Jupyter notebook we created to explore our customer preference for stocks. We use notebooks to understand and explore data. To identify the features that have some predictive power. Ultimately, we're trying to assess what ultimately is driving customer stock preference. Here we did the analysis to identify the attributes of customers that are likely to purchase auto stocks. We used this understanding to build our machine learning model. For building machine learning models, we've always had tools integrated into the Data Science Experience. But sometimes you need to use tools you already invested in. Like our very own SPSS as well as SAS. Through new import feature, you can easily import those models created with those tools. This helps you avoid vendor lock-in, and simplify the development, training, deployment, and management of all your models. To build the models we used in app, we could have coded, but we prefer a visual experience. We used our customer profile data in the Integrated Analytic System. Used the Auto Data Preparation to cleanse our data. Choose the binary classification algorithms. Let the Data Science Experience evaluate between logistic regression and gradient boosted tree. It's doing the heavy work for us. As you can see here, the Data Science Experience generated performance metrics that show us that the gradient boosted tree is the best performing algorithm for the data we gave it. Once we save this model, it's automatically deployed and available for developers to use. Any application developer can take this endpoint and consume it like they would any other API inside of the apps they built. We've made training and creating machine learning models super simple. But what about the operations? A lot of companies are struggling to ensure their model performance remains high over time. In our financial adviser app, we know that customer data changes constantly, so we need to always monitor model performance and ensure that our models are retrained as is necessary. This is a dashboard that shows the performance of our models and lets our teams monitor and retrain those models so that they're always performing to our standards. So far we've been showing you the Data Science Experience available behind the firewall that we're using to build and train models. Through a new publish feature, you can build models and deploy them anywhere. In another environment, private, public, or anywhere else with just a few clicks. So here we're publishing our model to the Watson machine learning service. It happens to be in the IBM cloud. And also deeply integrated with our Data Science Experience. After publishing and switching to the Watson machine learning service, you can see that our stock affinity and model that we just published is there and ready for use. So this is incredibly important. I just want to say it again. The Data Science Experience allows you to train models behind your own firewall, take advantage of your proprietary and sensitive data, and then deploy those models wherever you want with ease. So summarize what we just showed you. First, IBM's Data Science Experience supports all teams. You saw how our data engineer populated our project with trusted data sets. Our data scientists developed, trained, and tested a machine learning model. Our developers used APIs to integrate machine learning into their apps. And how IT can use our Integrated Model Management dashboard to monitor and manage model performance. Second, we support all data. On premises, in the cloud, structured, unstructured, inside of your firewall, and outside of it. We help you bring analytics and governance to where your data is. Third, we support all tools. The data science tools that you depend on are readily available and deeply integrated. This includes capabilities from great partners like Hortonworks. And powerful tools like our very own IBM SPSS. And fourth, and finally, we support all deployments. You can build your models anywhere, and deploy them right next to where your data is. Whether that's in the public cloud, private cloud, or even on the world's most reliable transaction platform, IBM z. So see for yourself. Go to the Data Science Experience website, take us for a spin. And if you happen to be ready right now, our recently created Data Science Elite Team can help you get started and run experiments alongside you with no charge. Thank you very much. >> Thank you very much Daniel. It seems like a great time to get started. And thanks to Siva for taking us through it. Rob and I will be back in just a moment to add some perspective right after this. All right, once again joined by Rob Thomas. And Rob obviously we got a lot of information here. >> Yes, we've covered a lot of ground. >> This is intense. You got to break it down for me cause I think we zoom out and see the big picture. What better data science can deliver to a business? Why is this so important? I mean we've heard it through and through. >> Yeah, well, I heard it a couple times. But it starts with businesses have to embrace a data driven culture. And it is a change. And we need to make data accessible with the right tools in a collaborative culture because we've got diverse skill sets in every organization. But data driven companies succeed when data science tools are in the hands of everyone. And I think that's a new thought. I think most companies think just get your data scientist some tools, you'll be fine. This is about tools in the hands of everyone. I think the panel did a great job of describing about how we get to data science for all. Building a data culture, making it a part of your everyday operations, and the highlights of what Daniel just showed us, that's some pretty cool features for how organizations can get to this, which is you can see IBM's Data Science Experience, how that supports all teams. You saw data analysts, data scientists, application developer, IT staff, all working together. Second, you saw how we support all tools. And your choice of tools. So the most popular data science libraries integrated into one platform. And we saw some new capabilities that help companies avoid lock-in, where you can import existing models created from specialist tools like SPSS or others. And then deploy them and manage them inside of Data Science Experience. That's pretty interesting. And lastly, you see we continue to build on this best of open tools. Partnering with companies like H2O, Hortonworks, and others. Third, you can see how you use all data no matter where it lives. That's a key challenge every organization's going to face. Private, public, federating all data sources. We announced new integration with the Hortonworks data platform where we deploy machine learning models where your data resides. That's been a key theme. Analytics where the data is. And lastly, supporting all types of deployments. Deploy them in your Hadoop cluster. Deploy them in your Integrated Analytic System. Or deploy them in z, just to name a few. A lot of different options here. But look, don't believe anything I say. Go try it for yourself. Data Science Experience, anybody can use it. Go to datascience.ibm.com and look, if you want to start right now, we just created a team that we call Data Science Elite. These are the best data scientists in the world that will come sit down with you and co-create solutions, models, and prove out a proof of concept. >> Good stuff. Thank you Rob. So you might be asking what does an organization look like that embraces data science for all? And how could it transform your role? I'm going to head back to the office and check it out. Let's start with the perspective of the line of business. What's changed? Well, now you're starting to explore new business models. You've uncovered opportunities for new revenue sources and all that hidden data. And being disrupted is no longer keeping you up at night. As a data science leader, you're beginning to collaborate with a line of business to better understand and translate the objectives into the models that are being built. Your data scientists are also starting to collaborate with the less technical team members and analysts who are working closest to the business problem. And as a data scientist, you stop feeling like you're falling behind. Open source tools are keeping you current. You're also starting to operationalize the work that you do. And you get to do more of what you love. Explore data, build models, put your models into production, and create business impact. All in all, it's not a bad scenario. Thanks. All right. We are back and coming up next, oh this is a special time right now. Cause we got a great guest speaker. New York Magazine called him the spreadsheet psychic and number crunching prodigy who went from correctly forecasting baseball games to correctly forecasting presidential elections. He even invented a proprietary algorithm called PECOTA for predicting future performance by baseball players and teams. And his New York Times bestselling book, The Signal and the Noise was named by Amazon.com as the number one best non-fiction book of 2012. He's currently the Editor in Chief of the award winning website, FiveThirtyEight and appears on ESPN as an on air commentator. Big round of applause. My pleasure to welcome Nate Silver. >> Thank you. We met backstage. >> Yes. >> It feels weird to re-shake your hand, but you know, for the audience. >> I had to give the intense firm grip. >> Definitely. >> The ninja grip. So you and I have crossed paths kind of digitally in the past, which it really interesting, is I started my career at ESPN. And I started as a production assistant, then later back on air for sports technology. And I go to you to talk about sports because-- >> Yeah. >> Wow, has ESPN upped their game in terms of understanding the importance of data and analytics. And what it brings. Not just to MLB, but across the board. >> No, it's really infused into the way they present the broadcast. You'll have win probability on the bottom line. And they'll incorporate FiveThirtyEight metrics into how they cover college football for example. So, ESPN ... Sports is maybe the perfect, if you're a data scientist, like the perfect kind of test case. And the reason being that sports consists of problems that have rules. And have structure. And when problems have rules and structure, then it's a lot easier to work with. So it's a great way to kind of improve your skills as a data scientist. Of course, there are also important real world problems that are more open ended, and those present different types of challenges. But it's such a natural fit. The teams. Think about the teams playing the World Series tonight. The Dodgers and the Astros are both like very data driven, especially Houston. Golden State Warriors, the NBA Champions, extremely data driven. New England Patriots, relative to an NFL team, it's shifted a little bit, the NFL bar is lower. But the Patriots are certainly very analytical in how they make decisions. So, you can't talk about sports without talking about analytics. >> And I was going to save the baseball question for later. Cause we are moments away from game seven. >> Yeah. >> Is everyone else watching game seven? It's been an incredible series. Probably one of the best of all time. >> Yeah, I mean-- >> You have a prediction here? >> You can mention that too. So I don't have a prediction. FiveThirtyEight has the Dodgers with a 60% chance of winning. >> [Katie] LA Fans. >> So you have two teams that are about equal. But the Dodgers pitching staff is in better shape at the moment. The end of a seven game series. And they're at home. >> But the statistics behind the two teams is pretty incredible. >> Yeah. It's like the first World Series in I think 56 years or something where you have two 100 win teams facing one another. There have been a lot of parity in baseball for a lot of years. Not that many offensive overall juggernauts. But this year, and last year with the Cubs and the Indians too really. But this year, you have really spectacular teams in the World Series. It kind of is a showcase of modern baseball. Lots of home runs. Lots of strikeouts. >> [Katie] Lots of extra innings. >> Lots of extra innings. Good defense. Lots of pitching changes. So if you love the modern baseball game, it's been about the best example that you've had. If you like a little bit more contact, and fewer strikeouts, maybe not so much. But it's been a spectacular and very exciting World Series. It's amazing to talk. MLB is huge with analysis. I mean, hands down. But across the board, if you can provide a few examples. Because there's so many teams in front offices putting such an, just a heavy intensity on the analysis side. And where the teams are going. And if you could provide any specific examples of teams that have really blown your mind. Especially over the last year or two. Because every year it gets more exciting if you will. I mean, so a big thing in baseball is defensive shifts. So if you watch tonight, you'll probably see a couple of plays where if you're used to watching baseball, a guy makes really solid contact. And there's a fielder there that you don't think should be there. But that's really very data driven where you analyze where's this guy hit the ball. That part's not so hard. But also there's game theory involved. Because you have to adjust for the fact that he knows where you're positioning the defenders. He's trying therefore to make adjustments to his own swing and so that's been a major innovation in how baseball is played. You know, how bullpens are used too. Where teams have realized that actually having a guy, across all sports pretty much, realizing the importance of rest. And of fatigue. And that you can be the best pitcher in the world, but guess what? After four or five innings, you're probably not as good as a guy who has a fresh arm necessarily. So I mean, it really is like, these are not subtle things anymore. It's not just oh, on base percentage is valuable. It really effects kind of every strategic decision in baseball. The NBA, if you watch an NBA game tonight, see how many three point shots are taken. That's in part because of data. And teams realizing hey, three points is worth more than two, once you're more than about five feet from the basket, the shooting percentage gets really flat. And so it's revolutionary, right? Like teams that will shoot almost half their shots from the three point range nowadays. Larry Bird, who wound up being one of the greatest three point shooters of all time, took only eight three pointers his first year in the NBA. It's quite noticeable if you watch baseball or basketball in particular. >> Not to focus too much on sports. One final question. In terms of Major League Soccer, and now in NFL, we're having the analysis and having wearables where it can now showcase if they wanted to on screen, heart rate and breathing and how much exertion. How much data is too much data? And when does it ruin the sport? >> So, I don't think, I mean, again, it goes sport by sport a little bit. I think in basketball you actually have a more exciting game. I think the game is more open now. You have more three pointers. You have guys getting higher assist totals. But you know, I don't know. I'm not one of those people who thinks look, if you love baseball or basketball, and you go in to work for the Astros, the Yankees or the Knicks, they probably need some help, right? You really have to be passionate about that sport. Because it's all based on what questions am I asking? As I'm a fan or I guess an employee of the team. Or a player watching the game. And there isn't really any substitute I don't think for the insight and intuition that a curious human has to kind of ask the right questions. So we can talk at great length about what tools do you then apply when you have those questions, but that still comes from people. I don't think machine learning could help with what questions do I want to ask of the data. It might help you get the answers. >> If you have a mid-fielder in a soccer game though, not exerting, only 80%, and you're seeing that on a screen as a fan, and you're saying could that person get fired at the end of the day? One day, with the data? >> So we found that actually some in soccer in particular, some of the better players are actually more still. So Leo Messi, maybe the best player in the world, doesn't move as much as other soccer players do. And the reason being that A) he kind of knows how to position himself in the first place. B) he realizes that you make a run, and you're out of position. That's quite fatiguing. And particularly soccer, like basketball, is a sport where it's incredibly fatiguing. And so, sometimes the guys who conserve their energy, that kind of old school mentality, you have to hustle at every moment. That is not helpful to the team if you're hustling on an irrelevant play. And therefore, on a critical play, can't get back on defense, for example. >> Sports, but also data is moving exponentially as we're just speaking about today. Tech, healthcare, every different industry. Is there any particular that's a favorite of yours to cover? And I imagine they're all different as well. >> I mean, I do like sports. We cover a lot of politics too. Which is different. I mean in politics I think people aren't intuitively as data driven as they might be in sports for example. It's impressive to follow the breakthroughs in artificial intelligence. It started out just as kind of playing games and playing chess and poker and Go and things like that. But you really have seen a lot of breakthroughs in the last couple of years. But yeah, it's kind of infused into everything really. >> You're known for your work in politics though. Especially presidential campaigns. >> Yeah. >> This year, in particular. Was it insanely challenging? What was the most notable thing that came out of any of your predictions? >> I mean, in some ways, looking at the polling was the easiest lens to look at it. So I think there's kind of a myth that last year's result was a big shock and it wasn't really. If you did the modeling in the right way, then you realized that number one, polls have a margin of error. And so when a candidate has a three point lead, that's not particularly safe. Number two, the outcome between different states is correlated. Meaning that it's not that much of a surprise that Clinton lost Wisconsin and Michigan and Pennsylvania and Ohio. You know I'm from Michigan. Have friends from all those states. Kind of the same types of people in those states. Those outcomes are all correlated. So what people thought was a big upset for the polls I think was an example of how data science done carefully and correctly where you understand probabilities, understand correlations. Our model gave Trump a 30% chance of winning. Others models gave him a 1% chance. And so that was interesting in that it showed that number one, that modeling strategies and skill do matter quite a lot. When you have someone saying 30% versus 1%. I mean, that's a very very big spread. And number two, that these aren't like solved problems necessarily. Although again, the problem with elections is that you only have one election every four years. So I can be very confident that I have a better model. Even one year of data doesn't really prove very much. Even five or 10 years doesn't really prove very much. And so, being aware of the limitations to some extent intrinsically in elections when you only get one kind of new training example every four years, there's not really any way around that. There are ways to be more robust to sparce data environments. But if you're identifying different types of business problems to solve, figuring out what's a solvable problem where I can add value with data science is a really key part of what you're doing. >> You're such a leader in this space. In data and analysis. It would be interesting to kind of peek back the curtain, understand how you operate but also how large is your team? How you're putting together information. How quickly you're putting it out. Cause I think in this right now world where everybody wants things instantly-- >> Yeah. >> There's also, you want to be first too in the world of journalism. But you don't want to be inaccurate because that's your credibility. >> We talked about this before, right? I think on average, speed is a little bit overrated in journalism. >> [Katie] I think it's a big problem in journalism. >> Yeah. >> Especially in the tech world. You have to be first. You have to be first. And it's just pumping out, pumping out. And there's got to be more time spent on stories if I can speak subjectively. >> Yeah, for sure. But at the same time, we are reacting to the news. And so we have people that come in, we hire most of our people actually from journalism. >> [Katie] How many people do you have on your team? >> About 35. But, if you get someone who comes in from an academic track for example, they might be surprised at how fast journalism is. That even though we might be slower than the average website, the fact that there's a tragic event in New York, are there things we have to say about that? A candidate drops out of the presidential race, are things we have to say about that. In periods ranging from minutes to days as opposed to kind of weeks to months to years in the academic world. The corporate world moves faster. What is a little different about journalism is that you are expected to have more precision where people notice when you make a mistake. In corporations, you have maybe less transparency. If you make 10 investments and seven of them turn out well, then you'll get a lot of profit from that, right? In journalism, it's a little different. If you make kind of seven predictions or say seven things, and seven of them are very accurate and three of them aren't, you'll still get criticized a lot for the three. Just because that's kind of the way that journalism is. And so the kind of combination of needing, not having that much tolerance for mistakes, but also needing to be fast. That is tricky. And I criticize other journalists sometimes including for not being data driven enough, but the best excuse any journalist has, this is happening really fast and it's my job to kind of figure out in real time what's going on and provide useful information to the readers. And that's really difficult. Especially in a world where literally, I'll probably get off the stage and check my phone and who knows what President Trump will have tweeted or what things will have happened. But it really is a kind of 24/7. >> Well because it's 24/7 with FiveThirtyEight, one of the most well known sites for data, are you feeling micromanagey on your people? Because you do have to hit this balance. You can't have something come out four or five days later. >> Yeah, I'm not -- >> Are you overseeing everything? >> I'm not by nature a micromanager. And so you try to hire well. You try and let people make mistakes. And the flip side of this is that if a news organization that never had any mistakes, never had any corrections, that's raw, right? You have to have some tolerance for error because you are trying to decide things in real time. And figure things out. I think transparency's a big part of that. Say here's what we think, and here's why we think it. If we have a model to say it's not just the final number, here's a lot of detail about how that's calculated. In some case we release the code and the raw data. Sometimes we don't because there's a proprietary advantage. But quite often we're saying we want you to trust us and it's so important that you trust us, here's the model. Go play around with it yourself. Here's the data. And that's also I think an important value. >> That speaks to open source. And your perspective on that in general. >> Yeah, I mean, look, I'm a big fan of open source. I worry that I think sometimes the trends are a little bit away from open source. But by the way, one thing that happens when you share your data or you share your thinking at least in lieu of the data, and you can definitely do both is that readers will catch embarrassing mistakes that you made. By the way, even having open sourceness within your team, I mean we have editors and copy editors who often save you from really embarrassing mistakes. And by the way, it's not necessarily people who have a training in data science. I would guess that of our 35 people, maybe only five to 10 have a kind of formal background in what you would call data science. >> [Katie] I think that speaks to the theme here. >> Yeah. >> [Katie] That everybody's kind of got to be data literate. >> But yeah, it is like you have a good intuition. You have a good BS detector basically. And you have a good intuition for hey, this looks a little bit out of line to me. And sometimes that can be based on domain knowledge, right? We have one of our copy editors, she's a big college football fan. And we had an algorithm we released that tries to predict what the human being selection committee will do, and she was like, why is LSU rated so high? Cause I know that LSU sucks this year. And we looked at it, and she was right. There was a bug where it had forgotten to account for their last game where they lost to Troy or something and so -- >> That also speaks to the human element as well. >> It does. In general as a rule, if you're designing a kind of regression based model, it's different in machine learning where you have more, when you kind of build in the tolerance for error. But if you're trying to do something more precise, then so much of it is just debugging. It's saying that looks wrong to me. And I'm going to investigate that. And sometimes it's not wrong. Sometimes your model actually has an insight that you didn't have yourself. But fairly often, it is. And I think kind of what you learn is like, hey if there's something that bothers me, I want to go investigate that now and debug that now. Because the last thing you want is where all of a sudden, the answer you're putting out there in the world hinges on a mistake that you made. Cause you never know if you have so to speak, 1,000 lines of code and they all perform something differently. You never know when you get in a weird edge case where this one decision you made winds up being the difference between your having a good forecast and a bad one. In a defensible position and a indefensible one. So we definitely are quite diligent and careful. But it's also kind of knowing like, hey, where is an approximation good enough and where do I need more precision? Cause you could also drive yourself crazy in the other direction where you know, it doesn't matter if the answer is 91.2 versus 90. And so you can kind of go 91.2, three, four and it's like kind of A) false precision and B) not a good use of your time. So that's where I do still spend a lot of time is thinking about which problems are "solvable" or approachable with data and which ones aren't. And when they're not by the way, you're still allowed to report on them. We are a news organization so we do traditional reporting as well. And then kind of figuring out when do you need precision versus when is being pointed in the right direction good enough? >> I would love to get inside your brain and see how you operate on just like an everyday walking to Walgreens movement. It's like oh, if I cross the street in .2-- >> It's not, I mean-- >> Is it like maddening in there? >> No, not really. I mean, I'm like-- >> This is an honest question. >> If I'm looking for airfares, I'm a little more careful. But no, part of it's like you don't want to waste time on unimportant decisions, right? I will sometimes, if I can't decide what to eat at a restaurant, I'll flip a coin. If the chicken and the pasta both sound really good-- >> That's not high tech Nate. We want better. >> But that's the point, right? It's like both the chicken and the pasta are going to be really darn good, right? So I'm not going to waste my time trying to figure it out. I'm just going to have an arbitrary way to decide. >> Serious and business, how organizations in the last three to five years have just evolved with this data boom. How are you seeing it as from a consultant point of view? Do you think it's an exciting time? Do you think it's a you must act now time? >> I mean, we do know that you definitely see a lot of talent among the younger generation now. That so FiveThirtyEight has been at ESPN for four years now. And man, the quality of the interns we get has improved so much in four years. The quality of the kind of young hires that we make straight out of college has improved so much in four years. So you definitely do see a younger generation for which this is just part of their bloodstream and part of their DNA. And also, particular fields that we're interested in. So we're interested in people who have both a data and a journalism background. We're interested in people who have a visualization and a coding background. A lot of what we do is very much interactive graphics and so forth. And so we do see those skill sets coming into play a lot more. And so the kind of shortage of talent that had I think frankly been a problem for a long time, I'm optimistic based on the young people in our office, it's a little anecdotal but you can tell that there are so many more programs that are kind of teaching students the right set of skills that maybe weren't taught as much a few years ago. >> But when you're seeing these big organizations, ESPN as perfect example, moving more towards data and analytics than ever before. >> Yeah. >> You would say that's obviously true. >> Oh for sure. >> If you're not moving that direction, you're going to fall behind quickly. >> Yeah and the thing is, if you read my book or I guess people have a copy of the book. In some ways it's saying hey, there are lot of ways to screw up when you're using data. And we've built bad models. We've had models that were bad and got good results. Good models that got bad results and everything else. But the point is that the reason to be out in front of the problem is so you give yourself more runway to make errors and mistakes. And to learn kind of what works and what doesn't and which people to put on the problem. I sometimes do worry that a company says oh we need data. And everyone kind of agrees on that now. We need data science. Then they have some big test case. And they have a failure. And they maybe have a failure because they didn't know really how to use it well enough. But learning from that and iterating on that. And so by the time that you're on the third generation of kind of a problem that you're trying to solve, and you're watching everyone else make the mistake that you made five years ago, I mean, that's really powerful. But that doesn't mean that getting invested in it now, getting invested both in technology and the human capital side is important. >> Final question for you as we run out of time. 2018 beyond, what is your biggest project in terms of data gathering that you're working on? >> There's a midterm election coming up. That's a big thing for us. We're also doing a lot of work with NBA data. So for four years now, the NBA has been collecting player tracking data. So they have 3D cameras in every arena. So they can actually kind of quantify for example how fast a fast break is, for example. Or literally where a player is and where the ball is. For every NBA game now for the past four or five years. And there hasn't really been an overall metric of player value that's taken advantage of that. The teams do it. But in the NBA, the teams are a little bit ahead of journalists and analysts. So we're trying to have a really truly next generation stat. It's a lot of data. Sometimes I now more oversee things than I once did myself. And so you're parsing through many, many, many lines of code. But yeah, so we hope to have that out at some point in the next few months. >> Anything you've personally been passionate about that you've wanted to work on and kind of solve? >> I mean, the NBA thing, I am a pretty big basketball fan. >> You can do better than that. Come on, I want something real personal that you're like I got to crunch the numbers. >> You know, we tried to figure out where the best burrito in America was a few years ago. >> I'm going to end it there. >> Okay. >> Nate, thank you so much for joining us. It's been an absolute pleasure. Thank you. >> Cool, thank you. >> I thought we were going to chat World Series, you know. Burritos, important. I want to thank everybody here in our audience. Let's give him a big round of applause. >> [Nate] Thank you everyone. >> Perfect way to end the day. And for a replay of today's program, just head on over to ibm.com/dsforall. I'm Katie Linendoll. And this has been Data Science for All: It's a Whole New Game. Test one, two. One, two, three. Hi guys, I just want to quickly let you know as you're exiting. A few heads up. Downstairs right now there's going to be a meet and greet with Nate. And we're going to be doing that with clients and customers who are interested. So I would recommend before the game starts, and you lose Nate, head on downstairs. And also the gallery is open until eight p.m. with demos and activations. And tomorrow, make sure to come back too. Because we have exciting stuff. I'll be joining you as your host. And we're kicking off at nine a.m. So bye everybody, thank you so much. >> [Announcer] Ladies and gentlemen, thank you for attending this evening's webcast. If you are not attending all cloud and cognitive summit tomorrow, we ask that you recycle your name badge at the registration desk. Thank you. Also, please note there are two exits on the back of the room on either side of the room. Have a good evening. Ladies and gentlemen, the meet and greet will be on stage. Thank you.

Published Date : Nov 1 2017

SUMMARY :

Today the ability to extract value from data is becoming a shared mission. And for all of you during the program, I want to remind you to join that conversation on And when you and I chatted about it. And the scale and complexity of the data that organizations are having to deal with has It's challenging in the world of unmanageable. And they have to find a way. AI. And it's incredible that this buzz word is happening. And to get to an AI future, you have to lay a data foundation today. And four is you got to expand job roles in the organization. First pillar in this you just discussed. And now you get to where we are today. And if you don't have a strategy for how you acquire that and manage it, you're not going And the way I think about that is it's really about moving from static data repositories And we continue with the architecture. So you need a way to federate data across different environments. So we've laid out what you need for driving automation. And so when you think about the real use cases that are driving return on investment today, Let's go ahead and come back to something that you mentioned earlier because it's fascinating And so the new job roles is about how does everybody have data first in their mind? Everybody in the company has to be data literate. So overall, group effort, has to be a common goal, and we all need to be data literate But at the end of the day, it's kind of not an easy task. It's not easy but it's maybe not as big of a shift as you would think. It's interesting to hear you say essentially you need to train everyone though across the And look, if you want to get your hands on code and just dive right in, you go to datascience.ibm.com. And I've heard that the placement behind those jobs, people graduating with the MS is high. Let me get back to something else you touched on earlier because you mentioned that a number They produce a lot of the shows that I'm sure you watch Katie. And this is a good example. So they have to optimize every aspect of their business from marketing campaigns to promotions And so, as we talk to clients we think about how do you start down this path now, even It's analytics first to the data, not the other way around. We as a practice, we say you want to bring data to where the data sits. And a Harvard Business Review even dubbed it the sexiest job of the 21st century. Female preferred, on the cover of Vogue. And how does it change everything? And while it's important to recognize this critical skill set, you can't just limit it And we call it clickers and coders. [Katie] I like that. And there's not a lot of things available today that do that. Because I hear you talking about the data scientists role and how it's critical to success, And my view is if you have the right platform, it enables the organization to collaborate. And every organization needs to think about what are the skills that are critical? Use this as your chance to reinvent IT. And I can tell you even personally being effected by how important the analysis is in working And think about if you don't do something. And now we're going to get to the fun hands on part of our story. And then how do you move analytics closer to your data? And in here I can see that JP Morgan is calling for a US dollar rebound in the second half But then where it gets interesting is you go to the bottom. data, his stock portfolios, and browsing behavior to build a model which can predict his affinity And so, as a financial adviser, you look at this and you say, all right, we know he loves And I want to do that by picking a auto stock which has got negative correlation with Ferrari. Cause you start clicking that and immediately we're getting instant answers of what's happening. And what I see here instantly is that Honda has got a negative correlation with Ferrari, As a financial adviser, you wouldn't think about federating data, machine learning, pretty And drive the machine learning into the appliance. And even score hundreds of customers for their affinities on a daily basis. And then you see when you deploy analytics next to your data, even a financial adviser, And as a data science leader or data scientist, you have a lot of the same concerns. But you guys each have so many unique roles in your business life. And just by looking at the demand of companies that wants us to help them go through this And I think the whole ROI of data is that you can now understand people's relationships Well you can have all the data in the world, and I think it speaks to, if you're not doing And I think that that's one of the things that customers are coming to us for, right? And Nir, this is something you work with a lot. And the companies that are not like that. Tricia, companies have to deal with data behind the firewall and in the new multi cloud And so that's why I think it's really important to understand that when you implement big And how are the clients, how are the users actually interacting with the system? And right now the way I see teams being set up inside companies is that they're creating But in order to actually see all of the RY behind the data, you also have to have a creative That's one of the things that we see a lot. So a lot of the training we do is sort of data engineers. And I think that's a very strong point when it comes to the data analysis side. And that's where you need the human element to come back in and say okay, look, you're And the people who are really great at providing that human intelligence are social scientists. the talent piece is actually the most important crucial hard to get. It may be to take folks internally who have a lot of that domain knowledge that you have And from data scientist to machine learner. And what I explain to them is look, you're still making decisions in the same way. And I mean, just to give you an example, we are partnering with one of the major cloud And what you're talking about with culture is really where I think we're talking about And I think that communication between the technical stakeholders and management You guys made this way too easy. I want to leave you with an opportunity to, anything you want to add to this conversation? I think one thing to conclude is to say that companies that are not data driven is And thank you guys again for joining us. And we're going to turn our attention to how you can deliver on what they're talking about And finally how you could build models anywhere and employ them close to where your data is. And thanks to Siva for taking us through it. You got to break it down for me cause I think we zoom out and see the big picture. And we saw some new capabilities that help companies avoid lock-in, where you can import And as a data scientist, you stop feeling like you're falling behind. We met backstage. And I go to you to talk about sports because-- And what it brings. And the reason being that sports consists of problems that have rules. And I was going to save the baseball question for later. Probably one of the best of all time. FiveThirtyEight has the Dodgers with a 60% chance of winning. So you have two teams that are about equal. It's like the first World Series in I think 56 years or something where you have two 100 And that you can be the best pitcher in the world, but guess what? And when does it ruin the sport? So we can talk at great length about what tools do you then apply when you have those And the reason being that A) he kind of knows how to position himself in the first place. And I imagine they're all different as well. But you really have seen a lot of breakthroughs in the last couple of years. You're known for your work in politics though. What was the most notable thing that came out of any of your predictions? And so, being aware of the limitations to some extent intrinsically in elections when It would be interesting to kind of peek back the curtain, understand how you operate but But you don't want to be inaccurate because that's your credibility. I think on average, speed is a little bit overrated in journalism. And there's got to be more time spent on stories if I can speak subjectively. And so we have people that come in, we hire most of our people actually from journalism. And so the kind of combination of needing, not having that much tolerance for mistakes, Because you do have to hit this balance. And so you try to hire well. And your perspective on that in general. But by the way, one thing that happens when you share your data or you share your thinking And you have a good intuition for hey, this looks a little bit out of line to me. And I think kind of what you learn is like, hey if there's something that bothers me, It's like oh, if I cross the street in .2-- I mean, I'm like-- But no, part of it's like you don't want to waste time on unimportant decisions, right? We want better. It's like both the chicken and the pasta are going to be really darn good, right? Serious and business, how organizations in the last three to five years have just And man, the quality of the interns we get has improved so much in four years. But when you're seeing these big organizations, ESPN as perfect example, moving more towards But the point is that the reason to be out in front of the problem is so you give yourself Final question for you as we run out of time. And so you're parsing through many, many, many lines of code. You can do better than that. You know, we tried to figure out where the best burrito in America was a few years Nate, thank you so much for joining us. I thought we were going to chat World Series, you know. And also the gallery is open until eight p.m. with demos and activations. If you are not attending all cloud and cognitive summit tomorrow, we ask that you recycle your

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Tricia WangPERSON

0.99+

KatiePERSON

0.99+

Katie LinendollPERSON

0.99+

RobPERSON

0.99+

GoogleORGANIZATION

0.99+

JoanePERSON

0.99+

DanielPERSON

0.99+

Michael LiPERSON

0.99+

Nate SilverPERSON

0.99+

AppleORGANIZATION

0.99+

HortonworksORGANIZATION

0.99+

TrumpPERSON

0.99+

NatePERSON

0.99+

HondaORGANIZATION

0.99+

SivaPERSON

0.99+

McKinseyORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Larry BirdPERSON

0.99+

2017DATE

0.99+

Rob ThomasPERSON

0.99+

MichiganLOCATION

0.99+

YankeesORGANIZATION

0.99+

New YorkLOCATION

0.99+

ClintonPERSON

0.99+

IBMORGANIZATION

0.99+

TescoORGANIZATION

0.99+

MichaelPERSON

0.99+

AmericaLOCATION

0.99+

LeoPERSON

0.99+

four yearsQUANTITY

0.99+

fiveQUANTITY

0.99+

30%QUANTITY

0.99+

AstrosORGANIZATION

0.99+

TrishPERSON

0.99+

Sudden CompassORGANIZATION

0.99+

Leo MessiPERSON

0.99+

two teamsQUANTITY

0.99+

1,000 linesQUANTITY

0.99+

one yearQUANTITY

0.99+

10 investmentsQUANTITY

0.99+

NASDAQORGANIZATION

0.99+

The Signal and the NoiseTITLE

0.99+

TriciaPERSON

0.99+

Nir KalderoPERSON

0.99+

80%QUANTITY

0.99+

BCGORGANIZATION

0.99+

Daniel HernandezPERSON

0.99+

ESPNORGANIZATION

0.99+

H2OORGANIZATION

0.99+

FerrariORGANIZATION

0.99+

last yearDATE

0.99+

18QUANTITY

0.99+

threeQUANTITY

0.99+

Data IncubatorORGANIZATION

0.99+

PatriotsORGANIZATION

0.99+

Hansang Bae & Frank Lyonnet, Riverbed | CUBEConversation with John Furrier


 

(techno music) >> Hello everyone, welcome to the Cube studio in Palo Alto. I'm John Furrier at the Cube for a special presentation with Riverbed and the Cube called getting started with SD-WAN, with two CTOs, Hansang Bae CTO, and Frank Layonnet, Deputy CTO with Riverbed, thanks for joining me today. >> Thanks for having us. >> Thank you. >> So, obviously you guys are the CTOs, chief technology officers, deputy and the chief here. What's going on under the hood? Because when you talk about the SD-WAN in action, really the number one thing comes in, it's networking, and everyone wants networking to go faster, and they want it automated. Now you're hearing about all this great programmatic stuff, what's happening? >> Yeah, I think, the difference between previous generation, which SDN, right? SDN was very hot for a while, didn't really go too far. The difference here is that we're solving tactical problems for the business, so that's very different than solving the problem for the IT folks, right? So, I'll give you an example. IP sec, turns out, kind of a pain to do. Very laborious, prone to errors, et cetera. Well, SD-WAN, as a first step takes care of that. It eliminates it completely. Out of the box, you have a secure transport. No thought involved. So that solves the IT problem, sure, but, step ahead of that, get ahead of that, you can now seamlessly service your business because the thorny problem of difficult IT goes away, right? So this is about frictionless IT, that allows your business to have a competitive edge. >> Frank, talk about the use cases involved in SD-WAN, because there's everything from I need bandwidth, better bandwidth, cost perspective. To full transformation of the organization. So networking is, you got to move the packets around, but at the same time it's strategic in that it's now an asset to the organization. >> Yes, definitely there multiple definitions out there for SD-WAN, and we must not be mistaken, it cannot be only about savings on bandwidth costs. This is something we have been doing for 10 years or more. So now SD-WAN is really connected to a business driver. This is digital transformation by the way, that is the first thing that is the source of everything we have been seeing, in terms of SD, including SD-WAN. So we have been seeing customers starting with saving on bandwidth costs, but then we discovered that there's more. There's definitely something that pertains to optimizing the way they are doing operations, agility, so the pressure from the business is coming there. But it's also about, according the fact that as a bunch of their applications are in the cloud, they cannot do networking just like they were doing before. So with this addition of the cloud, that is the first real movement toward SD-WAN. How do you connect your SAS applications back to your user, and things? so this is a real question and there's multiple options out there. There's also a bunch of challenges that need to be solved. So this is the first of those instances. >> Yeah and I think one of the good ways to kind of sum that up, is to say, you know, what if you could live in a world, as an IT guy, where when the business says, hey I need to roll out, and oh, by the way, give me 10 times the capacity, done, right? Push of a button, that's what automation brings to you. What if business says, by the way, Frank, I'm rolling it out in Australia, can we make sure we have enough bandwidth there, oh and by the way, I need it next week. Now for the first time with SD-WAN, infrastructure people can say, next week? Don't you want it tomorrow? 'Cause I'm ready to hit the button, right? So SD-WAN, is that revolutionary. It's not an incremental a better routing, easier this, it's a revolutionary way of thinking about how IT can make businesses be more competitive. >> The software piece is interesting, because you look at networking. There's an operational aspect of it, you mentioned the bandwidth. That's basic, you got to have basic needs. (laughing) >> [Frank] Of course. >> Got to move the packets around the network, you know, do all that stuff, check. You're getting at something different here, which is, I want to tune into the business speed. So the speed of the business really becomes the next table stakes, which is what the cloud's doing. >> [Hansang] That's right. >> So now, how does that change networking? Because we've seen with cloud, no perimeter, different kind of provisioning capabilities, automatic provisioning, now you have multi cloud. You guys can do that kind of multi cloud stuff right now. This is not obvious to many people. >> That's right. >> What's the magic behind it? >> See I guess, if we take SD-WAN as something that is an evolution that we are forced to go into, this can be the same part of some of the customers. Yes, okay, we need to move to SD-WAN, because we need automation. But if you flip that around, what you want to achieve is unleash the capacity of the business to innovate. So we have organization, interestingly enough, that completely took that into account, and are already finding the way they are organized. It's not something very common, but we have the first occurrence of customers that are interested to still connect, well their title is not networking head, but more like Dev Ops head. So this is the starting point of a lot of organization that want to fully embrace the full power of the cloud. >> That's a full wholesale change, you're talking about a new scenario, the third one, which is, I want to completely transform my business. But in the spirit of getting started with SD-WAN, I want to ask you guys a question. >> [Frank] Absolutely. >> See how you guys can come with this one. IT people come in two flavors, I'm freaking out, or I'm jumping for joy. Because that's really kind of what's happening here, you have Ops guys, hey lock down the network, you know, we're going to check all the boxes. Then you have other people who say, oh, we're liberated with Dev Ops, it's going to be freedom. Automatic provisioning. So, where's the balance, and describe your reaction to that, that phrase, freaking out, versus jumping for joy. >> I think I can answer this this way. So, I'm sure everybody can relate to this, is that every outage I've ever been involved in, and some, spectacularly big, has always been, the root cause has always been, we had a template, we had a standard, we just didn't have time to roll it out. Or, I had a template, but I made a mistake. Human latency, right? People are very very bad at doing mundane tasks at 2:00 a.m. When network changes happen, no surprise. So SD-WAN takes care of that drudgery, of the very important work, which is IT. So SD-WAN says, you know what, make your decisions, and go from whiteboard concept with your business, to implementation in less than a week. It can be shorter than that. But let's not bring too much shock to the system. So the whole idea of SD-WAN is, don't freak out about your job, because we're enabling the IT people to meet he business demand at their speed. >> So speed's a double edged sword, on one side, the fear of going too fast, and breaking stuff, or making something go down, also there's the other side of the coin, which is you can bring it back as fast. >> That's correct. >> Talk about that dynamic because I think that's interesting conversation. >> So I think the biggest difference is yes, so let's put it out there, right? Failure at the speed of automation, is fantastic, fantastically terrible. But at the same time, the big difference is that the recovery from that is automatic as well. Because in the world of SD-WAN, it's enable, disable, it's not about touching every single end device, to fix the problem that you might have caused. Because let's face it, today, if you roll out, and I know some of you are thinking, I have an automated way of pushing out a template. And that's great, that's a start. But to recover from that, means you have to touch every device, yet again. Where as with automation, from an SD-WAN perspective, it's all centralized. You push it from a central location, you withdraw it from a central location. So it's a different recovery-- >> On those outages you mentioned earlier, you've been involved in the past, where they've had a bit of human error, or a template issue, what was the recovery like? Probably just as bad, right? So the slowness is on both sides, right? >> Absolutely, and I think, you know, the biggest problem too is, and this is something that not too many SD-WAN vendors talk about, is visibility. If I had a dollar for every time there was an outage, and someone said "Who's impacted?" And it would be at least 45 minutes to an hour before anybody can say definitively, these groups of business, or this location is impacted. So we have the luxury of having a BU, who's sole purpose in life is to bring visibility from application user, and network level. So we're bringing that to bear, and marrying that with Software Defined win. So like Frank said, we don't stop at just making it easy for the IT folks, right? IP sec example that I gave you. What we're talking about is allowing the business to be just as agile, just as flexible, and including multicloud, what if you could, as an IT person, forget about, is it Azure? Amazon? Google? Soflare? Whatever cloud vendor you're talking about, what if that didn't matter, right? Because with the right SD-WAN philosophy, there is no difference between a branch, a laptop at a hotel, a datacenter, Azure, or Google, or Amazon. It's just a connectivity point from beginning to end, all you have are publishers of application, and subscribers of that application. Everything else goes behind it, don't get me wrong, it takes design, and like you said, packets have to go somewhere, but the complex design goes away with SD-WAN. >> So I, go ahead Frank. >> Yeah, so, I want to relate that to one of the use case that we have been seeing, which is isolation of some of the traffic, let's take the example of IOT, that we understand, I mean it's a recommendation that is everywhere, we want to isolate IOT, derive it from the rest of the traffic. How do you do that without SD-WAN? Okay, I put some DNS there, I put some VRF there. What do I do in the cloud? So there's really that notion of slows on which you provide some manual type of processes to implement that segmentation. Source VFR, and you defeat the purpose of segmentation. >> It's a bandaid, you're throwing pre existing stuff at a problem. >> And it's a complex thing to do, and we know that there will be errors, therefore holes, right? Suddenly defeat the purpose of your protection. So SD-WAN, especially in the context of steel connect, is allowing to have one single policy that is, you know, define wherever the workloads are, wherever the users or things are. So this is the kind of top level benefit that we can bring, and only SD-WAN can bring. >> I like that example, SD-WAN is growing up, and your use case of internet of things, IOT, is really spot on because that highlights the growing up, and that's happening very very fast. IOT is really becoming a tactical, strategic, board agenda item, and going down to the technical folks. Because IOT is now blending the physical world, and a lot of digital. >> Yeah. >> And so people are connecting, that's a network issue, put on the network, it's now an IOT device. You mentioned that's anything. But cloud also highlights this, 'cause now with compute, and analytics, the cloud really makes that connect well. So you guys have this multi cloud thing. Take me through that, because I'm a customer of yours, if I'm a CIO, or I'm running an IT department, you got my attention, 'cause I've heard everyone talk multi cloud all day long, I don't believe it. I don't think it could work, I've looked at latency between clouds, I got my office 365 and Azure, I run some stuff on Red Shift, I do some stuff with Google. Those apps are down beside me on those clouds. >> And to prove that point, just for kicks, 'cause it's easy, I connected every instance of Amazon in the world as part of my routing infrastructure. I had access, I could ping, bring up servers to every instance of Amazon, and by the way, I can do that with Azure as well. To me, there is no difference between a server running in a datacenter, running in Amazon, running in Azure, right? What that means, again from a tactical, so what what does it mean to me as a business person? Well, what if you can enforce your active directory log in services to Amazon? Because it's not Amazon Azure anymore, it's your VPC. The fact that it runs on a different cloud system, doesn't matter, because we automatically connect those two together. So as a business person, and as an infrastructure person, don't worry about what cloud it's in. Because we'll seamlessly connect it together, and the perfect example is Azure active directory service, being presented to Amazon. You can do that, because it's your VPC. Do with it as you will, and by the way, when you're done, turn it off. >> So this is interesting, so the sequence of operations here are relative to getting started with SD-WAN, is take care of the bandwidth costs, no problem, check. But it's the hybrid, it's the SAS applications, now when you get into multi cloud, you now take that through. So take me through the impact, what does it mean to the customer to have that multi cloud capability? What's the benefit? What's in if for them? >> So I think I'll start first, and then we'll go into some of the more used cases, is that the bigger challenge, which, by the way, it sounds awesome, is that infrastructure people tend to think of and solve problems from the tools that they know how to use today. SD-WAN is very different. So the first advice that I have, is stop thinking though the lens of the tools that you have today, right? And this is that whole Dev Ops, versus infrastructure argument that's raging these days, and the bottom line is it's either IT keep pace, or perish, right? And that sounds ominous, but guess what, the other side of that coin is, you get to join the party, you're no longer a call center, you're no longer, at worst case, a necessary evil, right? >> [John] So be open to new tooling? >> That's right, be open to new tooling. The power that the new tooling brings, right? This is something that DevOps folks have had and enjoyed, so why is it that infrastructure people are laggards in this? And I'll tell you why, and I had this conversation, because one of the application guys said, "You IT guys, man, I got 8,000 servers, what's the big deal?" And my point was, you have 8,000 servers for you app? I have two backbones for my company. That's it, so slow and steady wins the race, it's in our DNA. And SD-WAN says now you can have both. You can have that agility, but that stability, right? So when you have agility and stability, the cost savings automatically happen. >> I think that's the big deal, because again, a lot of my friends are networking guys, and a lot of dogma in networking, but it's for the right reasons. Networks can't go down. (laughing) When networks go down, you know what hits the fan. So take us through that scaling, 'cause agility and stability is really a good message. What does that mean, how does a customer do that? How do they get there? >> Yes, you have to put some trust onto vendors like us to take care of stability and just get the benefit of agility, which is that extra thing that you really can leverage to support a business. So I think that it's important to send a message there, that SD-WAN will not take over the job of anybody. It's just changing the way people will operate, the way people will think, and it's amazing to see some customers that I know for 10 years, 15 years. And yes, walls where CCIEs, you know, network specialists, and when I'm coming back to them with steel connect, I mean they are really evolved, just like we have evolved. (laughing) We know all together, that's it's about changing the overall, be if you're moving to Dev Ops, and discerning what's going on with the cloud. We are techies, so it's good stuff in fact, for everybody to understand that. And those customers that went through different steps of evolving, maturing that idea, they are really taking us into, use cases again, where it's really about, okay, now I've got a request for my business, which is to deploy that new work load, and by the way, on both sides that exist over there, but I need to add that to some of our sides. We tell, pop up stores, right? I want to do some digital marketing on pop up stores. Okay, what do I do? And I had a customer doing me a demo, we have a script provisioning back end, you know the blue in front in, and in a few clicks, provisioning connectivity. >> [John] Yeah. >> To that workload on the pop up store, right? With just an internet connection, this is amazing. >> IOT and all that stuff is great. IOT all these new paired ups is essentially networking. (laughing) I mean edge of the network, you just talked about provisioning. Think about how hard that was. That was a campus a couple years ago. >> That's right. >> That's an office. Remote office, the notion of a retail space that pops up, is just another remote edge point. So this is not new concepts, but the software makes it a difference. So, I think that's where I see the connection. So I'd ask you this question, when you walk around with steel connect, which we saw the demos on the last episode, really impressive. What are customers saying? I mean for folks that have never seen it before, what's their reaction, and for folks that work with you guys, what is their reaction for steel connect? >> I think I can give you some customer quotes, without mentioning their names. I had one customer who, after sitting through their presentation, said, "If this stuff works, we need to rethink our strategy." This is coming from a head of architecture, that reported to the CIO, right? Think about that statement and break it down. Yes there has to be trust, about it's a nascent field, new field, I get that. But when you truly embrace SD-WAN, not just from a cost perspective. That's a great catalyst, everybody wants that, because it's an feather in their cap. Once you go beyond that, and you start to think about the possibilities that SD-WAN, in our version of SD-WAN, which we call steel connect, can bring to you, it's a different conversation with a business, you're not talking about give me time. Imagine that pop up store, or you say, you know what, give me two weeks and I might have something for you. In this world of SnapChat, kids are changing their minds on a day by day basis, nevermind two weeks. >> It could delay the opening of the retail outlet, and all kinds of interesting business side effects. >> Absolutely, that's correct. And again, I keep going back to the business agility. It's high time that IT people keep up with the business, and in fact, surpass it using cloud of cloud for example. >> Hansang and Frank, we were talking before we came on the segment here, about video conferencing, and having kind of town hall meetings, and you know we were kind of joking, when something goes down in a business, you can see how fast something can move the mob, now that we're all connected on SnapChat, things go viral instantly. Like the United Airlines comment, we were talking about United Airlines, okay they have this big viral thing. Took them like three days to respond, next thing you know their brand suffered. I mean, imagine the impact of their business. They could have had a town hall meeting, let's take through that use case. Hey let's set up a network. We're going to have all these people dial in, and perusing it up, well that's going to take two weeks. Every day the stock is getting the hammer. I think they lost $1,000,000,000 in market cap in the first day. So there they need the provision of video network. Okay, take us through that, what would you guys do with SD-WAN? >> So, for me it's easy. With the right SD-WAN, I'll compare and contrast, okay? Today, you have to go and touch every edge device, and you have to change your quality of service. Because video, AF class, AF 41 for example, has a certain amount of quality of service that it can use. So you have to go and touch every device, every infrastructure device, at every location, to give it that bandwidth that's required, okay? So now, that takes maybe a week, maybe two weeks, depending on the size of your network. But that time, how much did they lose? $1,000,000,000 overnight? You can do the math, versus the new world of SD-WAN, where I say, you know what, between 2:00 p.m., and 4:00 p.m. eastern, video is going to have top quality of service marking. And then when I'm done, I'm going to turn it off. That's the actual difference between today's workflow, and the brave new world of SD-WAN. >> And by the way, video, just to point out, not in that one use case. Video is becoming the number one app for users, whether you want to accentuate it, in this case highlight it, or in some cases, not let everyone watch Game of Thrones Monday morning from their desk. Or those kinds of things are going on. You guys have that policy based capability. >> That's right. >> Yeah, so I'd like to pick up on the change management. Let's be honest in fact, us people in the networking space, we're a bit of laggards, when it comes to providing that capability. Because on the other aspects of IT, it's no brainer of course, we can do that. We can do that adaptation in a breeze. But what about the later, we're stuck into a solution, where yes, change management was something that was nightmare, and everybody talks about QS being a nightmare for so long, right? Now obviously we have steel connect with SD-WAN, we can fix that. >> My final question for you guys we we wrap up this segment is competition. For folks out there looking to get started and evaluate SD-WAN, because right now software define everything is happening. We're seeing it across the board, it's software and data. You guys from a networking angle, SD-WAN. How should your customers, and potential customers evaluate you, vis-a-vis the competition. Riverbed versus the competition. What should they look for, and how should they evaluate it for them? >> I'll give a couple of different quick books to successful proof of concept, if you will. It does start with that IP sect, that secure tunnel that can separate and differentiate traffic and quality of service. It does involve making sure that the right important applications get preferential treatment, and oh, by the way, move over to a different lane. Creating HOV lanes on demand is what SD-WAN is about, right? It can be time based, it can be user based. So it's not just a static configuration, it's very very fluid. As an HOV lane, think of it this way. It's an HOV lane, from your house, to your work, because you have an important job that day, right? SD-WAN says you can do that, I can get quality of service down to a user level, with a few click of a button. So, from a competitive landscape, IP sec is important. But differentiating application and user by name, not IP addresses, in the world of SAS, IP addresses doesn't mean anything, is also important. And then the other one is, the cloud, right? Think of the cloud as your datacenter. So whatever you do, in the world of SD-WAN, should be just as easy at branch, datacenter, cloud, and cloud of clouds, right? And if it encompasses all of that, then you've found the right SD-WAN vendor. >> I think that's exactly right. We need to help customers to understand that it's not about replicating what we have been doing with the new cool technology, that is slightly more automated. This is about rethinking the way you are connecting that work. And this is something we've been hearing from analysts that I've been personally seeing over the past couple years. It's now down to not only networking people, but also the cloud people, but also the security people to sit together and look at all the use cases around the one, and obviously this has evolved to our SAS, to our yes, to a lot of things that pertains to automation. So this is really the advice that I would give to customers, don't fall into the trap of comparing SD-WAN with win, it has to be something more. It has to include the cloud. >> And I'll give you the secret sauce that I've been dying to get out there. It was the biggest differentiator for us. We removed the pain of latency for applications. We've been doing it for over 10 years. So, yes bandwidth is plentiful. I have a gigabyte service at home, it's wonderful. But it still doesn't take away the latency when I have to interact with folks in Sydney, or in Singapore, and we take that pain of latency away, have been doing that for over 10 years. It's a perfect marriage made in heaven. As the network grows to include cloud, where theoretically it shouldn't matter if your instance is in Ireland, if it's in Singapore, if it's in Korea, if it's in Germany, or San Jose, or in Virginia. But because of latency, it matters. What if you could have a vendor that makes that pain go away as well? And that's our secret sauce. >> What's interesting is that the world's changing, so the network used to dictate what applications could do, now applications are dictating what the networks are doing. >> Absolutely. >> Which means it has to be programmable. >> That's right. >> And that is interesting because that flips it upside down. >> That's correct, and that's that business agility that we've been harping on this whole time. >> Talking about marriage, let me add a third to the problem, we have also visibility, right in the portfolio, and it's amazingly important. Because you know, in one click, I can deploy policy. I mean, one click I can kill. (laughing) Through my wrongly configured policy, a bunch of our closed, so it's super important to be in a position to provide new tools, new ways of verifying what's going on. I have an intent, I want the network to be like this. I need to verify immediately whether or not I'm going the right direction, right? (laughing) To just like, you drive, you have your super powerful wheel that brings you everywhere. You need to know where all that will go there. >> And that's that trust but verify motto, right? I trust that it's doing the right thing, but I want to be able to verify it. And with SD-WAN, it's build in. >> Riverbend you guys have been doing some great work, I was joking with my friend over the weekend, we were just talking about SD-WAN in general, just as we do on the weekends. >> [Hansang] Who doesn't? >> I said, I mean it's interesting, the world is a win now, the network is global. That's essentially a wide area network, it's called the internet. >> That's right. >> And you treat it a win, and there it is, end points, you have remotes. >> That's right, and sun computer, unfortunately was right, they were just decades early, right? The computer, or the network is the computer. And with the SD-WAN and cloud movement, it really can be anywhere. >> I got a funny anecdote, at the table interview, and I interviewed Scott McNealy, and he was like, "I just should have called the cloud." >> [Hansang] There you go, that's all you needed. >> Guys thanks so much for spending the time here inside the Cube studios, I'm John Furrier with Riverbed, on getting started with SD-WAN. Thanks for watching. (techno music)

Published Date : Aug 22 2017

SUMMARY :

I'm John Furrier at the Cube for a special presentation really the number one thing comes in, Out of the box, you have a secure transport. So networking is, you got to move the packets around, that is the first thing that is the source Now for the first time with SD-WAN, That's basic, you got to have basic needs. So the speed of the business really becomes So now, how does that change networking? of the business to innovate. But in the spirit of getting started you have Ops guys, hey lock down the network, So the whole idea of SD-WAN is, on one side, the fear of going too fast, Talk about that dynamic is that the recovery from that is automatic as well. but the complex design goes away with SD-WAN. of the use case that we have been seeing, It's a bandaid, So SD-WAN, especially in the context of steel connect, is really spot on because that highlights the growing up, So you guys have this multi cloud thing. I can do that with Azure as well. But it's the hybrid, it's the SAS applications, of the tools that you have today, right? The power that the new tooling brings, right? but it's for the right reasons. that you really can leverage to support a business. To that workload on the pop up store, right? I mean edge of the network, So I'd ask you this question, when you walk around Imagine that pop up store, or you say, It could delay the opening of the retail outlet, And again, I keep going back to the business agility. I mean, imagine the impact of their business. and you have to change your quality of service. And by the way, video, just to point out, Because on the other aspects of IT, We're seeing it across the board, it's software and data. It does involve making sure that the right This is about rethinking the way As the network grows to include cloud, What's interesting is that the world's changing, And that is interesting that we've been harping on this whole time. to the problem, we have also visibility, And with SD-WAN, it's build in. Riverbend you guys have been doing some great work, it's called the internet. And you treat it a win, and there it is, The computer, or the network is the computer. I got a funny anecdote, at the table interview, Guys thanks so much for spending the time here

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Frank LayonnetPERSON

0.99+

VirginiaLOCATION

0.99+

SingaporeLOCATION

0.99+

FrankPERSON

0.99+

KoreaLOCATION

0.99+

GermanyLOCATION

0.99+

IrelandLOCATION

0.99+

AustraliaLOCATION

0.99+

United AirlinesORGANIZATION

0.99+

two weeksQUANTITY

0.99+

10 timesQUANTITY

0.99+

San JoseLOCATION

0.99+

SydneyLOCATION

0.99+

10 yearsQUANTITY

0.99+

AmazonORGANIZATION

0.99+

Palo AltoLOCATION

0.99+

Frank LyonnetPERSON

0.99+

15 yearsQUANTITY

0.99+

Hansang BaePERSON

0.99+

Game of ThronesTITLE

0.99+

$1,000,000,000QUANTITY

0.99+

GoogleORGANIZATION

0.99+

HansangPERSON

0.99+

next weekDATE

0.99+

John FurrierPERSON

0.99+

three daysQUANTITY

0.99+

8,000 serversQUANTITY

0.99+

a weekQUANTITY

0.99+

TodayDATE

0.99+

firstQUANTITY

0.99+

2:00 a.m.DATE

0.99+

tomorrowDATE

0.99+

Scott McNealyPERSON

0.99+

2:00 p.m.DATE

0.99+

less than a weekQUANTITY

0.99+

one clickQUANTITY

0.99+

JohnPERSON

0.99+

over 10 yearsQUANTITY

0.99+

two flavorsQUANTITY

0.99+

first timeQUANTITY

0.99+

twoQUANTITY

0.99+

one customerQUANTITY

0.99+

an hourQUANTITY

0.99+

oneQUANTITY

0.98+

both sidesQUANTITY

0.98+

todayDATE

0.98+

CubeORGANIZATION

0.98+

bothQUANTITY

0.98+

SnapChatTITLE

0.97+

AzureTITLE

0.97+

a dollarQUANTITY

0.97+

4:00 p.m. easternDATE

0.97+

one sideQUANTITY

0.97+

first dayQUANTITY

0.96+

first adviceQUANTITY

0.96+

third oneQUANTITY

0.96+

first stepQUANTITY

0.96+

first thingQUANTITY

0.95+

SoflareORGANIZATION

0.95+

Show Wrap with Dan Barnhardt - Inforum2017 - #Inforum2017 - #theCUBE


 

>> Narrator: Live from the Javits Center in New York City. It's the Cube, covering the Inforum 2017. Brought to you by Infor. >> We are wrapping up the Cube's day two coverage of conference here in New York City at Inforum. My name is Rebecca Knight, along with my cohost Dave Vellante. We're joined by Dan Barnhardt. He is the Infor Vice President of Communications. Thanks so much for joining us. >> Yes, thank you for having me. Thank you for being here two days in a row. >> It's been a lot of fun. We've had a great time. So yeah, congratulations, it's been a hugely successful conference, a lot of buzz. Recap it for us, what's been most exciting for you? >> Sure, this was our second year having a forum in New York, which is our home town. I think it was a more exciting conference than last year. We unveiled some incredible development updates, led by Coleman, our AI offering, which is an incredible announcement for us, as well as Networked CloudSuites, which takes the functionality from our GT Nexus commerce network, and bakes it into our CloudSuites, the mission critical industry CloudSuites, that we offer on the Amazon Web Services cloud. Those were really exciting developments, as well as some other announcements we made with regard to product. And then, in addition to product, we had a lot of customer momentum that we shared. Last year, we had customers like Whole Foods and Travis Perkins up here. We continued the momentum with big enterprise customers making big bets on Infor, led by Koch Industries who invested more than two billion dollars this year at Infor, and are now modernizing their human resources and their financial operations with Infor CloudSuites. Moving to the cloud HR for 130,000 employees at Koch Industries which is an incredible achievement for the product, and for cloud HR. And, that's very exciting, as well as other companies like FootLocker, which were recognized with the Innovation Award for our Progress Makers Award. They're using talent science, data science to power their employees, not to power their employees, but to drive their employees towards greater productivity and greater happiness, because they've got the right people in the right fit for FootLocker, that's very exciting. And, of course, Bank of America, our Customer of the Year, which uses our HR solutions for their workforce, which obviously is exceptionally large. >> Yes, there was a great ceremony this morning, with a lot of recognition. So, let's talk a little bit more about Coleman, this was the big product announcement, really the first product in AI for Infor. Tell us a little bit about the building blocks. >> For certain. We have a couple of AI offerings now, like predictive hotel pricing, predictive demand and assortment planning in retail, but we have been building towards Coleman and what we consider the age of networked intelligence for multiple years. Since we architected Infor CloudSuite to run mission critical ERP in the cloud, we developed the capability of having data, mission critical data that really runs a business, your manufacturing, finance, distribution core functions, in the cloud on AWS, which gives us hyper-scale compute power to crunch incredible data. So, that really became possible once we moved CloudSuite in 2014. And then in 2015, we acquired GT Nexus, which is a commerce network that unites, that brings in the 80 percent of enterprise data that lies outside the four walls, among suppliers, and logistics providers, and banks. That unified that into the CloudSuite and brought that data in, and we're able to crunch that using the compute power of AWS. And then last year at Inforum, we announced the acquisition of Predictix, which is a predictive solutions for retail. And when building those, Predictix was making such groundbreaking development in the area of machine learning that they spun off a separate group called Logicblox, just to focus on machine learning. And Inforum vested heavily, we didn't talk a lot about Logicblox, but that was going to deliver a lot of the capabilities along with Amazon's developments with Lex and Alexa to enable Coleman to come to reality. So we were able then to acquire Birst. Birst is a BI program that takes, and harmonizes, the data that comes across CloudSuite and GT Nexus in a digestible form that with the machine learning power from Logicblox can power Coleman. So now we have AI that's pervasive underneath the application, making decisions, recommending advice so that people can maximize their potential at work, not have to do more menial tasks like search and gather, which McKenzie has shown can take 20 percent of your work week just looking for the information and gathering the information to make decisions. Now, you can say Coleman get me this information, and Coleman is able to return that information to you instantly, and let you make decisions, which is very, very exciting breakthrough. >> So there's a lot there. When you and I talked prior to the show, I was kind of looking for okay, what's going to be new and different, and one of the things you said was we're really going to have a focus on innovation. So, in previous Inforums it's really been about, to me anyway, we do a lot of really hard work. We're hearing a lot about acquisitions, certainly AI and Coleman, how those acquisitions come together with your, you know, what Duncan Angove calls the layer cake, you know the wedding cake stack, the strategy stack, I call it. So do you feel like you've achieved those objectives of messaging that innovation, and what's the reaction then from the customer base? >> Without a doubt. I wouldn't characterize anything that we said last year as not innovative, we announced H&L Digital, our digital transformation arm which is doing some incredible custom projects, like for the Brooklyn Nets, essentially money balling the NBA. Look forward to seeing that in next season a little bit, and then more in the season to come. Some big projects with Travis Perkins and with some other customers, care dot com, that were mentioned. But this year we're unveiling Coleman, which takes a lot of pieces, as Duncan said sort of the wedding cake, and puts them together. This has been a development for years. And now we're able to unveil it, and we've chosen to name it Coleman in honor of Katherine Coleman Johnson, one of the ladies whose life was told in the movie Hidden Figures, and she was a pioneer African-American woman in Stem, which is an important cause for us. You know, Infor years ago when we were in New Orleans unveiled the Infor Education Alliance program so that we can invest in increasing Stem education among young people, all young people with a particular focus on minorities and women to increase the ranks of underrepresented communities in the technology industry. So this, Coleman, not only pays honor to Katherine Johnson the person, but also to her mission to increase the number of people that are choosing careers in Stem, which as we have shown is the future of work for human beings. >> So talk a little bit more about Infor's commitment to increasing number to increasing, not only Stem education, but as you said increasing the number of women and minorities who go into Stem careers. >> Certainly. We, you know Pam Murphy who is our chief operating officer, this has been an incredibly important cause to her as well as Charles Phillips our CEO. We launched the Women's Infor Network, WIN, several years ago and that's had some incredible results in helping to increase the number of women at Infor. Many years ago, I think it was Google that first released their diversity report, and it drew a lot of attention to how many women and how many minorities are in technology. And they got a lot of heat, because it was about 30, 35 percent of their workforce was female, and then as other companies started rolling out their diversity report, it was a consistent number between 30 to 35 percent, and what we identified from that was not that women are not getting the jobs, it's that there aren't as many women pursuing careers in this type of field. >> Rebecca: Pipeline. >> Yes. So in order to do that, we need to provide an environment that nurtures some of the specific needs that women have, and that we're promoting education. So we formed the WIN program to do that first task, and this year on International Women's Day in early March, we were able to show some of the results that came from that, particularly in senior positions, SVP, VP, and director level positions at Infor. Some have risen 60 percent the number of women in those roles since we launched the Women's Infor Network just a couple of years ago. And then we launched the Education Alliance Program. We partnered with institutions, like CUNY the City University of New York, the New York Urban League, and universities now across the globe, we've got them in India, in Thailand and China, in South Korea to help increase the number of people who are pursuing careers in Stem. We've also sponsored PBS series and Girls Who Code, we have a hack-athon going on here at Inforum with a bunch of young people who are building, sort of, add-on apps and widgets that go to company Infor. We're investing a lot in the growth of Stem education, and the next generation. >> And by the way, those numbers that you mentioned for Google and others at around 30, 34 percent, that's much better than the industry average. They're doing quote, unquote well and still far below the 50 percent which is what you would think, you know, based on population it would be. So mainly the average is around, or the actual number's around 17 percent in the technology business, and then the other thing I would add is Amazon, I believe, was pretty forthcoming about its compensation, you know. >> Salesforce really started it, Marc Benioff. >> And they got a lot of heat for it, but it's transparency is really the starting point, right? >> It was clear really early for companies like Salesforce, and Amazon, and Google, and Infor that this was not something that we needed to create talking points about, we were going to need to effect real change. And that was going to take investment and time, and thankfully with leadership like Charles Phillips, our CEO, and Marc Benioff were making investments to help make sure that the next generation of every human, but particularly women and minorities that are underrepresented right now in technology, have those skills that will be needed in the years to come. >> Right, you have to start with a benchmark and then know where you're moving from. >> Absolutely, just like if you're starting a project to transform your business, where do you want to go and what are the steps that are going to help you get there? >> Speaking of transforming your business, this is another big trend, is digital transformation. So now that we are at nearing the end of day two of this conference, what are you hearing from customers about this jaunting, sometimes painful process that they must endure, but really they must endure it in order to stay alive and to thrive? >> Without a doubt. A disruption is happening in every industry that we're seeing, and customers across all of the industries that Infor serves, like manufacturing, healthcare, retail, distribution, they are thinking about how do we survive in the new economy, when everything is digital, when every company needs to be a technology company. And we are working with our customers to help first modernize their systems. You can't be held back by old technology, you need to move to the cloud to get the flexibility and the agility that can adapt to changing business conditions and disruptions. No longer do you have years to adapt to things, they're happening overnight, you must have flexible solutions to do that. So, we have a lot of customers. We just had a panel with Travis Perkins, and with Pilot Flying J, who was on the Cube earlier, talking about how their, and Cook Industries our primary investor now, talking about how they're re-architecting their IT infrastructure to give them that agility so they can start thinking about what sort of projects could open up new streams of revenue. How could we, you know, do something else that we never thought of, but now we have the capability to do digitally that could be the future of our business? And it's really exciting to have all the CIOs, and SVPs of technology, VPs of technology, that are here at Inforum talking about what they're doing, and how they're imagining their business. It's really incredible to get a peek at what they're doing. >> You know, we were talking to Debbie earlier. One of the interesting things that I, my takeaway is on the digital transformation, is you know, we always say digital is data and then what we talked about was the ability to traverse industry value change, not just vertically but horizontally. Amazon buying Whole Foods is a perfect example, Amazon's a content company, Apple's getting into financial services. I wonder if you could comment on your thoughts on because you're so deep into micro-verticals, and what Debbie said was well I gave a consumer package good example to a process manufacturing company. And they were like what are you talking about, and she said look, let me connect the dots and the light bulbs went off. And they said wow, we could take that CPG example and apply it, so I wonder when we talk about digital transformation, if you see or can foresee your advantage in micro-verticals as translating across those verticals. >> Without a doubt. We talk about it as adjacent innovation. And Charles points back to an example, way back from the creation of the niche in glass, and how that led to additional businesses and industries like eyeglasses and fire preparedness, and we look at it that way for certain. We dive very deep into key industries, but when we look at them holistically across and we say oh, this is happening within the retail industry, we can identify key functionality that might change the industry of disruption, not disruption, distribution. Might disrupt the distribution industry, and we can apply the lessons learned by having that industry specialization into other industries and help them realize a potential that they weren't aware of before, because we uncovered it in one place. That's happening an awful lot with what we do with retail and assortment planning and healthcare. We run 70 percent of the large hospitals in the US, and we're learning a lot from retail and how we might help hospitals move more quickly. When you are managing life and death situations, if you are planning assortment or inventory for those key supplies within a hospital, and you can make even small adjustments that can have huge impact on patient care, so that's one of the benefits of our industry-first strategy, and the adjacent innovation that we cultivate there. >> I know we're not even finished with Inforum 2017, but we must look ahead to 2018. Talk a little bit about what your goals for next year's conference are. >> For sure. You're correct, we're not finished yet with Inforum. I know everyone here is really excited about Bruno Mars who's entertaining tonight, but we are looking forward to next year's conference as well, we're already talking about some of the innovative things that we'll announce, and the customer journeys that are beginning now, which we'd like to unveil there. We are going to be moving the conference from New York, we're going to move to Washington DC in late-September, September 24th to 27th in Washington DC, which we're very excited about to let our customers, they come back every year to learn more. We had seven thousand people attending this year, we want to give them a little bit of a variety, while still making sure that they can reach, you know, with one stop from Europe and from Asia, cause customers are traveling from all over the world, but we're very excited to see the growth that would be shared. This year, for instance, if you look at the sponsors, we had our primary SI partner Avaap was platinum partner last year. In addition to Avaap this year, we were joined by Accenture, and Deloitte, Capgemini, Grant Thorton, all of whom have built Infor practices over the last 12 months because there's so much momentum over our solutions that that is a revenue opportunity for them that they want to take advantage of. >> And the momentum is just going to keep on going next year in September. So I'll see you in September. >> Yeah, thank you very much. I appreciate you guys being here with us for the third year, second year in a row in New York. >> Indeed, thank you. I'm Rebecca Knight for Dave Vellante, we will have more from Inforum 2017 in a bit.

Published Date : Jul 12 2017

SUMMARY :

Brought to you by Infor. He is the Infor Vice President of Communications. Yes, thank you for having me. It's been a lot of fun. We continued the momentum with big enterprise really the first product in AI for Infor. a lot of the capabilities along with and different, and one of the things you said program so that we can invest in increasing increasing the number of women and minorities and it drew a lot of attention to how many women So in order to do that, we need to and still far below the 50 percent that this was not something that we and then know where you're moving from. So now that we are at nearing the end that could be the future of our business? and she said look, let me connect the dots and how that led to additional businesses but we must look ahead to 2018. at the sponsors, we had our primary SI partner Avaap And the momentum is just going to for the third year, second year in a row in New York. we will have more from Inforum 2017 in a bit.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dan BarnhardtPERSON

0.99+

Dave VellantePERSON

0.99+

Rebecca KnightPERSON

0.99+

Marc BenioffPERSON

0.99+

Pam MurphyPERSON

0.99+

ColemanPERSON

0.99+

AmazonORGANIZATION

0.99+

EuropeLOCATION

0.99+

DuncanPERSON

0.99+

Charles PhillipsPERSON

0.99+

Koch IndustriesORGANIZATION

0.99+

DebbiePERSON

0.99+

New YorkLOCATION

0.99+

Katherine JohnsonPERSON

0.99+

Cook IndustriesORGANIZATION

0.99+

RebeccaPERSON

0.99+

2014DATE

0.99+

New York Urban LeagueORGANIZATION

0.99+

AsiaLOCATION

0.99+

IndiaLOCATION

0.99+

20 percentQUANTITY

0.99+

ThailandLOCATION

0.99+

AccentureORGANIZATION

0.99+

Washington DCLOCATION

0.99+

30QUANTITY

0.99+

CharlesPERSON

0.99+

AWSORGANIZATION

0.99+

Last yearDATE

0.99+

70 percentQUANTITY

0.99+

80 percentQUANTITY

0.99+

Whole FoodsORGANIZATION

0.99+

Bruno MarsPERSON

0.99+

last yearDATE

0.99+

SeptemberDATE

0.99+

Brooklyn NetsORGANIZATION

0.99+

two daysQUANTITY

0.99+

2015DATE

0.99+

DeloitteORGANIZATION

0.99+

CUNYORGANIZATION

0.99+

AppleORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

New York CityLOCATION

0.99+

H&L DigitalORGANIZATION

0.99+

South KoreaLOCATION

0.99+

New OrleansLOCATION

0.99+

InforORGANIZATION

0.99+

ChinaLOCATION

0.99+

USLOCATION

0.99+

LogicbloxORGANIZATION

0.99+

2018DATE

0.99+

60 percentQUANTITY

0.99+

InforumORGANIZATION

0.99+

Bank of AmericaORGANIZATION

0.99+

This yearDATE

0.99+

130,000 employeesQUANTITY

0.99+

next yearDATE

0.99+

CapgeminiORGANIZATION

0.99+

Amazon Web ServicesORGANIZATION

0.99+

Katherine Coleman JohnsonPERSON

0.99+

second yearQUANTITY

0.99+

35 percentQUANTITY

0.99+

Hidden FiguresTITLE

0.99+

early MarchDATE

0.99+

AvaapORGANIZATION

0.99+

Duncan AngovePERSON

0.99+

more than two billion dollarsQUANTITY

0.99+

seven thousand peopleQUANTITY

0.99+

International Women's DayEVENT

0.99+

this yearDATE

0.99+

first productQUANTITY

0.99+

Pam Murphy, Infor | Inforum 2017


 

(upbeat synthesized music) >> Announcer: Live from the Javits Center in New York City, it's The Cube, covering Inforum 2017. Brought to you by Infor. >> Welcome back to The Cube's live coverage of Inforum, I'm your host Rebecca Knight, along with my co-host, Dave Vellante. We're joined by Pam Murphy, she is the Infor COO, thanks so much for coming on the program-- >> Thank you for having us, thank you. >> So you're hosting for the third time, a special session devoted to WIN, the Women's Infor Network. Tell us a little bit about this session and who are the guests and what we can expect. >> Yes, absolutely, so as you said, it's our third year hosting it. It's a very popular session, it's the only non product session of the entire conference and open to everybody, men and women. We always have a fantastic lineup of speakers and this year is no different. So the way we work it is we do a combination of TED Talks and panel sessions so we've got Tan Lee, who's the founder of Emotiv brain augmentation technology. And then we've got Reshma Saujani who's the founder of Girls Who Code. She's done great stuff in terms of pioneering STEM and getting girls to code. So she's going to talk us through her work, if you will, in training so many girls to code and how she wants girls to adopt, and behaviors she wants them to exhibit in this industry. And then we've got what will be I'm sure a lively panel with Ambassador Susan Rice and Farah Pandith and we're going to be talking about the government's ability to manage the terrorism that we're seeing today and we're going to be talking counter terrorism, we're going to be talking about what lessons are we learning from what's going on in Europe and what is the role in technology in helping curb terrorism. So that's going to be an exciting and interesting session. And then we're going to have Dr. Jill Biden come in and hopefully lighten up the session and talk about resilience and leadership today, so very exciting, very much looking forward to it. It's 11 AM tomorrow morning in the Special Events Hall, and hopefully it will be good if not better than the last two years. >> Rebecca: And we're going to have many of those guests on our program >> Yes. >> after that too. So why, what is the purpose of it? It sounds like a great session and it's going to be enlightening and exciting to hear all those women talk, but what is your goal in gathering this group of women? >> I guess I should go back to the founding of WIN. So I started WIN probably over four or five years ago at this point and its purpose was to just galvanize and bring women together, allow forum in which they could mentor each other and where we could work on the advancement of women within the organization. It's something that as I traveled through the offices, people have been asking me a lot to create that forum, create that environment and so we've got hundreds of WIN chapters around the globe with thousands of women participating. So we have very regular sessions and we talk about topics that are relevant to women and also just about advancing their careers and given that at a forum we have so many thousands and thousands of not only our own Infor WIN members but also customers, we just thought it was a great opportunity to have one of our sessions at Inforum and invite inspiring female speakers to come and talk to us about their experiences, how they got to be where they are, the challenges that they met along the way. So what's interesting is that the only WIN or female aspect of the session is the fact that every speaker on stage is female. Outside of that, that's where the relevance ends in the sense that it really is talking to topics that is applicable to everyone. So that's why it is just a topic and an audience that appeals to everybody, men, female, old, and young. >> So these sessions are always interesting and inspiring. What kind of impact have they had? Can you share with us any results? >> Absolutely, so we have, first of all they're very inspirational for everybody attending and I've had customers, not only our own employees, but I've had customers reach out to me and say that they were inspired by a story and it caused them to take action and change in their life. And before they may have felt something but they heard from somebody else saying that how they overcame it and it caused them to honestly take change within their own lives and their own organizations. So for customers, partners, whoever's attending, it just, to hear from someone else, you often have the perception with these speakers that they have this fantastic upbringing, fantastic education, they're successful because it's a function of that. Well actually that's not often the case. People have had a hard upbringing or they've met a lot of challenges around the way and it's how they overcame those challenges and the resilience that they brought into the mix is what inspires people. So really that's what I would say people get out of it, and often spawning from that, we often end up as well tailoring programs or development techniques which we feel would be of benefit to folks beyond that. So one of our speakers last year prompted a big thought about diversity and how we should be dealing with ways in which we may be dismissive of certain topics or abrasive to people, so it's thought provoking and it inspires action, which is obviously what we want to get out of it. >> We funded a nonprofit initiative last year in partner with another journalism outfit, The GroundTruth, to study women in tech and we presented at the, we had The Cube at the Grace Hopper Conference and some of the things that came out of that, I wanted to comment, chief data officers actually have a disproportionately higher percentage of women, maybe it's 'cause it's such a thankless job and they're (laughing) wiling to take it on. And then we found cyber bullying had a very negative effect on the participation of women in tech which is about 17% of the women. And then of course the salary disparity, one of the areas that we found was most egregious was Cambridge, Mass, now this is supposed to be a progressive, relatively liberal area. >> Our hometown. >> And it was huge, our hometown, very high disparity of low participation of women in tech. Any thoughts on that data and what kind of progress you'd like to see us make as an industry? >> I'm hopeful of the fact that the next generation will look back on where technology is now from the perspective of the low representation of women and that whole diversity factor and look on it as being a non-issue. I'm hopeful in the sense that, I don't think it's going to be as pronounced as we have it now. I think we're doing a far better job of going out to colleges, to institutions, and enabling girls and providing girls with coding courses. So I'm hoping it's not going to be a longterm issue for us. From our perspective, to your point, we look at the various line of businesses and functions within our organization and we see where is the disparity arising and where do we need to focus? And so interestingly enough, if you look at G&A functions or if you look at marketing functions, it's 50/50, right, in terms of representation, but there's definitely certain functions where either the nature of what they're doing or if it's a high travel related function, meaning you're away for long periods of time, there are certainly the areas I think which don't have as equal distribution in terms of men, and for those really, we've been working on creating programs to ease those burdens that may be had, or else promote them positively where it literally is an unconscious bias, if you will. It's a long topic, for sure, that I could go on about for a long period of time but I just think it's constant, looking at unconscious biases, it's looking at ways in which we feel that there's fairness, if you will, into the equation. And a lot of the time I honestly feel that it's not conscious, if you will, and it therefore just needs to be looked at specifically at ways and means in which that could be addressed or tackled. >> So as a successful woman in technology, COO at a major technology company, what advice do you have for that young woman who wants to get into technology but is dispirited by the headlines and by what appears to be a very macho culture where there is vast salary discrepancies? >> Yeah, it's unfortunate that that has come out all too much more frequently and with volume in the last six months for the companies that we're aware of. But I would say, I personally haven't experienced that, and I'm personally of the view that, by the way, I never meant to end up in this industry, so I look back and think how on Earth did I actually get here, but I think you have to be willing to take risks and you have to be wiling to dismiss a lot of what you hear and look on the fact that there is a lot of very successful women, even within Infor. Since we started WIN, we have had a huge increase in the amount of SVPs and VPs within our organization. I think it's something like a 60% increase in terms of who we have. There is so much more women in very, very senior roles now than we've ever had before, so I'm hopeful that it is changing. I hope that some recent coverage and recent events have not, will not create a longterm impact, but I think people just need to look and see with the tech industry booming, with the way in which people are being compensated, that it's a good industry in which you can be very successful and do great things. >> Dave: And cloud helps. >> Yeah. >> It does. >> Yeah. >> There are far more women at application oriented shows than there are infrastructure oriented, 'cause hardware guys are hardware guys. I don't know why, like mechanics, other than Mona Lisa Vito, mostly hardware people. But let's shift gears a little bit and talk about the global alliances. You are running that initiative here. These are folks that we haven't typically seen at Inforum but they're coming out of the wood works, what's going on, what's driving that? >> Yeah first of all we have a fantastic base of existing partners who had great successes in implementing Infor applications for their customers and so but with the growth that we've been seeing, honestly, in our business, over the last number of years, we just need to have more and more delivery capacity to create more choice for our customers as to who they can go to to implement our software. And if you think about the move to the cloud and if you think about digitalization and the fact that every customer is becoming more consumed and obsessed with technology because it's changing their businesses so fundamentally, they do want the option and the choice of having the large global system integrators, digital integrators, that they can go to do massive transformation work and business process re-engineering and program management and change management. And so for us it was important to form good reliances with the Deloittes, the Accentures, the Caps, and the Grant Thorntons in order to provide that larger ecosystem of transformational services that we can offer to our customers. So it's great, they're all platinum sponsors here at Inforum this year and there's over a hundred very senior executives and managing directors from those four. And we're just very excited about the extent and pace to which they're building out Infor practices, so it's great. >> I have to ask you, so don't hate me for saying this, but those guys love to pig out on big complicated ERP implementations that take two and three years. Is that world just going away and it's moving toward more of a digital transformation and a whole new line of thinking and that's why there's a good fit with Infor or is it something else? >> I think they understand and know that the older days of a company spending $100 million on an ERP implementation are gone, that's really not acceptable anymore. It's absolutely not our strategy, as you know from being here at the conference, our strategy is around creating industry specific end to end suites which don't require modifications and which are purpose built for the cloud. And so that is very clear to them and they understand that and are embracing the concept because they realize that cloud is an enabler, it's just another deployment method, but fundamentally it's about helping the customers take advantage of that technology and transform their businesses and to do that, it requires a lot more than software. And so they're changing, our industry is changing. Steve talked to the point of the stage today that the cost of technology is becoming very low and that therefore the permeation of technology in everything we do is going to be so prevalent. So it's understood and for them, it's more about helping our customers get to that digital age and being able to transform their businesses to cope with the changing technology. >> Are you satisfied with the pace? >> Pace of? >> Of the change, of getting people to the cloud. Do you feel there is, is the momentum there? >> Well we've seen huge growth in our sector. We have completely tipped the balances. I would have said, obviously it's been coming, it's like Salesforce.com and companies who basically do certain applications in the cloud and for us, we're different because we have complete end to end suites in the cloud, mission critical applications. And so our business has grown enormously over the course of the last three years and I think now it's mainstream, if you will. And so we're very pleased and happy. We have a lot of customers who have made, obviously we have over 8,400 customers now already there. And the pace is increasing. And it's just a continuous effort for the customers who haven't gone already, helping them understand what they need to do to get there, and that's what we've been doing in spades for the last couple of years. >> Great, well Pam Murphy, thanks so much for joining us. >> Thank you. >> We really appreciate it. >> Thank you. >> I'm Rebecca Knight, for Dave Vallente, we will have more from The Cube's coverage of Inforum 2017 just after this. (upbeat synthesized music)

Published Date : Jul 11 2017

SUMMARY :

Brought to you by Infor. We're joined by Pam Murphy, she is the Infor COO, a special session devoted to WIN, the Women's Infor Network. So the way we work it is we do a combination of TED Talks enlightening and exciting to hear all those women talk, that are relevant to women and also just about advancing What kind of impact have they had? and the resilience that they brought and some of the things that came out of that, of low participation of women in tech. I'm hopeful in the sense that, I don't think it's going to be and I'm personally of the view that, and talk about the global alliances. and the Grant Thorntons in order to provide I have to ask you, so don't hate me for saying this, that the cost of technology is becoming very low of getting people to the cloud. And it's just a continuous effort for the customers we will have more from The Cube's coverage

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Reshma SaujaniPERSON

0.99+

Rebecca KnightPERSON

0.99+

RebeccaPERSON

0.99+

StevePERSON

0.99+

Dave VellantePERSON

0.99+

Pam MurphyPERSON

0.99+

Dave VallentePERSON

0.99+

Tan LeePERSON

0.99+

DavePERSON

0.99+

Farah PandithPERSON

0.99+

DeloittesORGANIZATION

0.99+

twoQUANTITY

0.99+

60%QUANTITY

0.99+

AccenturesORGANIZATION

0.99+

EuropeLOCATION

0.99+

last yearDATE

0.99+

$100 millionQUANTITY

0.99+

EarthLOCATION

0.99+

New York CityLOCATION

0.99+

hundredsQUANTITY

0.99+

third timeQUANTITY

0.99+

Jill BidenPERSON

0.99+

Grant ThorntonsORGANIZATION

0.99+

third yearQUANTITY

0.99+

The GroundTruthORGANIZATION

0.98+

CambridgeLOCATION

0.98+

three yearsQUANTITY

0.98+

fourQUANTITY

0.98+

todayDATE

0.98+

thousandsQUANTITY

0.98+

CapsORGANIZATION

0.98+

Susan RicePERSON

0.98+

five years agoDATE

0.97+

over 8,400 customersQUANTITY

0.97+

Javits CenterLOCATION

0.97+

oneQUANTITY

0.97+

The CubeORGANIZATION

0.96+

11 AM tomorrow morningDATE

0.96+

about 17%QUANTITY

0.96+

WINORGANIZATION

0.95+

Girls Who CodeORGANIZATION

0.95+

this yearDATE

0.95+

InforumORGANIZATION

0.95+

Grace Hopper ConferenceEVENT

0.93+

Special Events HallLOCATION

0.93+

G&AORGANIZATION

0.92+

InforORGANIZATION

0.92+

over a hundredQUANTITY

0.92+

last three yearsDATE

0.9+

Dr.PERSON

0.88+

thousands of womenQUANTITY

0.87+

last six monthsDATE

0.85+

MassLOCATION

0.85+

Salesforce.comORGANIZATION

0.84+

firstQUANTITY

0.83+

last couple of yearsDATE

0.79+

fourDATE

0.77+

50/50QUANTITY

0.76+

Inforum 2017TITLE

0.74+

senior executivesQUANTITY

0.72+

one of our sessionsQUANTITY

0.7+

2017DATE

0.7+

last two yearsDATE

0.67+

overDATE

0.67+

TEDEVENT

0.66+

TalksTITLE

0.66+

Women's Infor NetworkORGANIZATION

0.65+

Mona Lisa VitoPERSON

0.62+

InforPERSON

0.6+

WINEVENT

0.53+

InforumTITLE

0.53+

COOPERSON

0.34+

Chip Coyle, Infor | Inforum 2017


 

>> Announcer: Live from the Javits Center in New York City, it's theCUBE. Covering Inforum 2017, brought to you by Infor. >> Welcome back to theCUBE's coverage of Inforum 2017, I am your host, Rebecca Knight, along with my co-host, Dave Vellante. We are joined by Chip Coyle. He is Infor's CMO. Thanks so much for sitting down with theCUBE today. >> Thank you for having me. >> So we just kicked off the show, the general session, Charles Philips, a lot of other Infor executives up there on the main stage talking. Lay it out for us. How many people are here. What are sort of the big themes that you're trying to get across here. >> Yeah, well, first of all it's great for Infor to be having our conference here at the Javits Center. It's about 10 blocks from our home-- >> Rebecca: Your own back yard. >> In New York City, and so this year, we've got nearly 7,000 attendees over the course of the week. Many component programs as we do every year with our partner summit, with our various conferences for the different individual customer constituencies, and executive forum, and of course, a big customer appreciation event happening tomorrow night. >> You've also made some big announcements. I'm talking mostly about Coleman AI, and Burst. I want you, if you can unpack those for our viewers a little bit. >> Yeah, I would say the theme of the conference this year is the age of networked intelligence. And what does that mean? Well, we've had, for the last several years, a layered strategy in our business, starting at the foundation with very deep industry functional applications. Purpose built for the different industries. We've taken all of that technology and moved it to the cloud, so that you get the benefits of the efficiencies and the network capability of taking your applications to the cloud. We recently, a year ago, acquired GT Nexus, which expands our capability, in a broader sense, to a commerce network, and we're able to incorporate that into our traditional applications in different industries. And then, just a couple of months ago, we acquired a business intelligence software company, Burst, which brings some really great technology for business intelligence that we can layer on top of all of our applications in this network environment. And then finally, today, the big announcement was Coleman, as you said, and that was to take our new artificial intelligence platform and really create just profound new ways that the workers in the different industries and their different companies across the networked enterprise, can interact in a business setting, much like people do in a commercial setting today. >> Can you, Chip, talk about the evolution of the brand promise. So when we first met Infor, at AWS Reinvent, it was like who was Infor? Trying to educate people on who Infor is. And so I felt like last year was your sort of stamp of this is how Infor and why Infor is relevant, and now, there seems to be sort of an undertone of innovation. So can you talk about the evolution of the brand and what you see as the brand promise. >> Well, we are very consistent in our branding and positioning of Infor as really the first industry cloud company. We're the ones who have been, at an accelerated pace, bringing the most deep, industry-rich, functional applications to the cloud. And that has created a great layer now, for all of these future innovations that we have talked about today with the benefits of business intelligence enabled applications built right in, so that you can truly have all the information you need at the right time, for the right purpose to make immediate business decisions. And then the potential and capability of artificial intelligence on top of that. >> As the chief marketing officer, can you talk a little bit about how these innovations change how you do your job, and how they make your life easier, in terms of making the right decision at the right time, making the decision better, having the right data? >> Yeah, well some of the other announcements that we're making this week, actually are in my particular line of business, which is marketing, and one of those, for example, is we're broadening our Infor CRM suite, with a link to LinkedIn's Sales Navigator. So that brings a whole set of important data to, about customers, to enable better customer interactions, for our customers. So that's something that we look to be using in our business, along with Marketo, which is a new business partner, as the engine, or the marketing automation platform to fuel our marketing business. So that's how it's impacting me directly in what I do. >> So I wonder if you could help us sort of debunk some of the myths. So Oracle would say enterprise apps aren't moving to the cloud, and we are the company to move them to the cloud, and we're the only company that can move them to the cloud. You know, SAP, it's got it sort of some cloud going on, but most of the stuff remains on prem. We heard today 55% of your revenue comes from cloud. And we know you made a decision years ago to run on AWS. Help us understand, I mean these are core, hard core enterprise apps that are running in the cloud. So help us debunk some of those myths and add some color to that. >> The traditional processes of rolling out major applications and enterprise applications in an enterprise is completely changing. And it's also changing because of the capabilities of the cloud. And the approach that Infor takes, which is very easy to assemble and configure with our Ion technology and collaboration technology, such as Mingle, to put these applications in place in a much faster way for our customers than some of the traditional players in the ERP market have been accustomed to do. And they just don't have the current technology approach or foundation to be able to move quickly to the cloud, as we do at Infor. >> In talking about Infor, you talked a little bit about the brand evolution, how are you getting the word out? Infor is really a sleeping giant in the technology industry. How are you getting your name out there? >> Well one thing that we want to do with our brand is show, well first of all, introduce Infor to the world at large, that hasn't heard of us. And the way that we want to do that is by showing what kind of benefits we can give to customers in different industries. So we just recently launched our first-ever TV commercials. They have run on shows like Meet the Press, and some of the CNBC and MSNBC shows. That has, incidental, all of that was developed entirely, 100% in house, with Hook and Loop, our creative in-house creative agency. So we're very proud of that. We're looking to do more of that with TV. We also have a relationship with the Brooklyn Nets here in New York, where on the business side, we're enabling them with performance and team analytics with a whole slew of applications of that with biometric readings and imagery, when they're moving around on the court. That can then be used to help fine tune and make decisions on which personnel to use, which, what are the best players to be able to, say, shoot a free throw after one day of rest versus two days of rest. That level of analytics. So we are, in that partnership with the Nets, are also in a branding way, going to be on the Nets jersey starting this September with an Infor patch on the jersey. And we're announcing that also, this week. >> Awesome. This is definitely a New York theme here. We're here at the Javits Center, Brooklyn Nets, Hudson Yards, another huge project that you guys are intimately involved in. Not a lot of vendors are explicitly mentioned in that. Maybe talk about that a little bit. >> Well, Hudson Yards as a development is unique in that it is really a completely self-contained city in all respects. Where the concept is to be able to network the data and information of anybody within that city, with respect to where they live in the high-rises, where they shop in the retail stores or grocery stores, where they eat in the restaurants, and where they work with all of the businesses that are locating there, too. So that gives you so much potential to rethink how information can enable, just the way that you move about, even in the city. From keyless entry into facilities, to voice-activated tasks, like, can you please restock in my groceries in my refrigerator in my condo. So there's so many ways that that can be a broad showcase for the true smart city of the future. >> These are high-end clientele. This is very New York. I want to shift gears and talk about the eco system a little bit. There's a few names that I, maybe they were here before, but I hadn't seen them, at least prominently, certainly IBM, you mentioned Marketo, a great interesting partner, hot company, and some of the SIs are sort of coming out of the woodwork. >> Chip: Yes. >> Now when you think about your strategy for sort of micro verticals, the SIs, I always say, they love to eat at the trough. And if there's not a lot of customizations, they're not interested. However, you've attracted them, because you've now got a substantial enough estate. So talk about that evolution of the eco system. >> We're proud to have as our diamond sponsors this year, AVAAP, as well as Marketo. And AVAAP has been a longstanding partner for, implementation partner for us, in expanding areas. Their heritage is with Lawson in health care and they're doing a lot of implementations across our business in all geographies, in all industries. But what's new this year is we also have attracted some new, some of the big SIs, such as Deloitte and Accenture, Capgemini, Grant Thornton. So they have all come in as sponsors and we're really on the cusp of some big and bigger and better things with them in the different businesses. >> The other thing I wanted to ask you about is Infor has a unique way of attracting interesting speakers. I've done probably five or six thousand interviews in the last five or six years, and some of the most interesting have been at Inforum. Deborah Norville came on in New Orleans, last year Lara Logan, Naomi Tutu, Karina Hollekim, amazing three women interviews. >> Rebecca: This year Susan Rice. >> This year Susan Rice was here, so what's that all about? They're not techies, they're just interesting people. What are you trying to do there? >> Well, we have a program, the Women's Infor Network, WIN, that was created by Pam Murphy, our chief operating officer, and starting a few Inforums ago, we wanted to use Inforum as a platform to showcase innovative women in the world. And it's a little bit of a departure from our product and technology messages. And this year, we've got, as you mentioned, some great inspiring women, like Jill Biden, the former first, vice president-- >> Rebecca: Second lady. >> And also, Susan Rice, as you mentioned. So, it's going to be, it's always a very popular session. >> Yes, and we're looking forward to having those women on theCUBE, too, tomorrow. >> Chip: Absolutely. >> Chip, thanks so much for joining us, it's been a pleasure. >> Thank you for having me. >> I'm Rebecca Knight, for Dave Vellante. We'll have more from Inforum 2017 after this. (techno music)

Published Date : Jul 11 2017

SUMMARY :

Covering Inforum 2017, brought to you by Infor. Welcome back to theCUBE's coverage What are sort of the big themes that you're trying to be having our conference here at the Javits Center. for the different individual customer constituencies, for our viewers a little bit. to the cloud, so that you get the benefits of the brand promise. for the right purpose to make immediate business decisions. to be using in our business, along with Marketo, hard core enterprise apps that are running in the cloud. in the ERP market have been accustomed to do. about the brand evolution, how are you getting the word out? And the way that we want to do that you guys are intimately involved in. Where the concept is to be able to network the data and some of the SIs are sort of coming out of the woodwork. So talk about that evolution of the eco system. in the different businesses. of the most interesting have been at Inforum. What are you trying to do there? And this year, we've got, as you mentioned, And also, Susan Rice, as you mentioned. Yes, and we're looking forward to having it's been a pleasure. I'm Rebecca Knight, for Dave Vellante.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Dave VellantePERSON

0.99+

Susan RicePERSON

0.99+

Karina HollekimPERSON

0.99+

Deborah NorvillePERSON

0.99+

Rebecca KnightPERSON

0.99+

Naomi TutuPERSON

0.99+

DeloitteORGANIZATION

0.99+

Pam MurphyPERSON

0.99+

RebeccaPERSON

0.99+

Charles PhilipsPERSON

0.99+

New OrleansLOCATION

0.99+

Jill BidenPERSON

0.99+

fiveQUANTITY

0.99+

two daysQUANTITY

0.99+

Lara LoganPERSON

0.99+

OracleORGANIZATION

0.99+

Chip CoylePERSON

0.99+

IBMORGANIZATION

0.99+

New YorkLOCATION

0.99+

New York CityLOCATION

0.99+

AWSORGANIZATION

0.99+

Hudson YardsORGANIZATION

0.99+

CapgeminiORGANIZATION

0.99+

Brooklyn NetsORGANIZATION

0.99+

AccentureORGANIZATION

0.99+

100%QUANTITY

0.99+

last yearDATE

0.99+

LinkedInORGANIZATION

0.99+

tomorrow nightDATE

0.99+

todayDATE

0.99+

MSNBCORGANIZATION

0.99+

Meet the PressTITLE

0.99+

a year agoDATE

0.99+

55%QUANTITY

0.99+

one dayQUANTITY

0.99+

CNBCORGANIZATION

0.99+

this yearDATE

0.99+

this weekDATE

0.99+

HookORGANIZATION

0.99+

SAPORGANIZATION

0.99+

BurstORGANIZATION

0.99+

NetsORGANIZATION

0.99+

tomorrowDATE

0.98+

This yearDATE

0.98+

firstQUANTITY

0.97+

theCUBEORGANIZATION

0.97+

InforORGANIZATION

0.97+

Grant ThorntonORGANIZATION

0.97+

ChipPERSON

0.97+

Javits CenterLOCATION

0.97+

Javits CenterORGANIZATION

0.96+

one thingQUANTITY

0.95+

MarketoTITLE

0.95+

InforumORGANIZATION

0.95+

MarketoORGANIZATION

0.92+

six thousand interviewsQUANTITY

0.92+

GT NexusORGANIZATION

0.91+

oneQUANTITY

0.91+

first industryQUANTITY

0.9+

about 10 blocksQUANTITY

0.9+

SecondQUANTITY

0.89+