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Stephanie Hagopian, CDW | Palo Alto Networks Ignite22


 

(upbeat music playing) >> Narrator: theCUBE presents Ignite 22, brought to you by Palo Alto Networks. >> Hey guys, girls, welcome back. It's theCUBE Live in Las Vegas at the MGM Grand for Palo Alto Networks Ignite 22. Lisa Martin here with Dave Vellante. Dave, We've had some great conversations. This is day one of two days of cube coverage. We're talking with Palo Alto executives, their partner network, their customers, going to be learning a lot about what they've been doing to really be that golden nugget. >> Yeah. We've talked, Lisa, about how Palo Alto Networks is affecting a TAM expansion strategy through acquisitions and integration and company CDW, that I remember, you know, been around a long time. I remember back in the Comdex days talk about transformation of a company. Really excited to have them on. >> We're going to talk about that. Stephanie Hagopian is here, the VP of Security at CDW. >> Stephanie, >> Hey it's great to have you on the program. >> It's so nice to be here. Thank you. >> So lots going on. CDW has made several acquisitions in the past couple of quarters alone as it relates to security. Talk to us about what's going on. >> Yes. So we are way more than the computer warehouse that you used to know. The computer catalog days, we've moved beyond that. We've made a lot of strategic acquisitions in the past several quarters. The reason for that is we're trying to change our image and our brand and how, more importantly, we engage with our customers in security. We used to traditionally be, you know, kind of at the end of the procurement cycle with our customers, and we want to be an advisor. We want to really sell solutions and help influence the outcomes that our clients are trying to achieve when it comes to, not just security, but also risk, governance, threatened vulnerability management, how are they dealing with major issues around zero trust and building a zero trust framework for a company. >> Lisa: And I imagine these acquisitions, that really from a catalyst perspective was really driven >> Yeah. by the customers and what they were >> absolutely wanting to see and feel and hear and be able to do. >> Absolutely. So the acquisitions have given us over 400 delivery resources, consultants, advisors people who can actually engage with our clients who have real life experience, have worked with global organizations, some of the biggest companies in the world in order to solve their problems. And using that experience to be able to to really create higher value, you know as we interact and engage. >> Dave: You were telling us, Stephanie, that you actually came into CDW through an acquisition. >> I did. >> And I think if you go back 10 years ago when the cloud was just sort of hitting its steep steep ramp, and it looked, it was pretty obvious. And at the same time you had what we affectionately called you know, box sellers. And it was very clear that if they didn't transform their businesses and you know, the, they a lot of 'em were small, regional companies. They had the owners had big houses and big boats but the companies were going to go away if they didn't transform. So it's interesting to me that you've chosen security and governance in some of the really most difficult areas to as part of that transformation. Where did that come from, from your perspective and you know, why security and why such challenging areas? >> Well, I've been part of security in the security industry for over 20 years, and I've loved the fact it is challenging. It's what, it's what makes us so important and critical to our clients. Security's not an easy problem to solve. And it, it's because the landscape keeps changing. The advent of cloud and now hybrid infrastructure creates endless challenges for our customers. Threat actors change. We have insider threats, we have external threats. There's all sorts of risk when you talk about third parties and how third parties interact with organizations. We have supply chain management. And now that we've moved into this hybrid work environment of virtual, not virtual. You know, we have people kind of engaging within organizations in different ways. There's just a lot of risk associated with that. It's not easy and you have to engage with stakeholders across the entire organization. You have to understand how legal thinks of this and compliance and HR. It's not just an IT issue, it's a business issue. And we understand that and it's just, it's so interesting for us to engage with our customers on critical initiatives and security is at the top of the list. It's not just a, a CISO or even a CIO problem anymore. Boards care about this, >> Lisa: Right? >> We make or break companies with cybersecurity and risk strategies. That's why it's so critical. So we consider ourselves to be a high priority for every single organization, big or small. >> Lisa: From a security perspective, what's the common denominator among industries that you're seeing? >> Oh, I mean, we see, in terms of common denominator, I think every single organization's contending with ransomware. >> Ah >> That's probably number one. Breaches. You know, how do you prevent bad actors from doing something, you know, that's threatening to information sensitive data, especially consumer data. Third party risk is a big topic, and how to secure hybrid cloud infrastructures which is a key part of, you know, Palo's strategy as well. And we realize that. >> Why do they buy from CDW? Pitch me. I'm a customer, what can you do for me? >> Yeah. Because we want to partner. So we, we provide true advisory and consulting services to our customers. We aren't there just to make a sale and walk away. We want long-term commitments and long-term partnerships with our customer base. We're there to, to give them outcomes, right? And to align to their priorities and their challenges. It's, it's not a one and done for us. This is about a long-term partnership and that's what makes us so different. And we're now through the acquisition strategies. We're the largest security integrator in North America in terms of our revenue and our size just our sheer size and capability and the amount of full-time employees we have dedicated to this part of our business. So they know they can trust us and that we can scale. >> Dave: Do you? Is is it a, a teach me how to fish strategy? Or is it also if >> Yeah, >> if you want to have, if I, if I as a customer want to have you continue to manage or at least provide some kind of managed services, where's the the line? >> Stephanie: Yeah. So we are incredibly unique in the way we've built out our security practice in that we, we do both. And we want our clients to understand that there are going to be elements of what they do that they want to keep in house from a security perspective. That is why, and it also came from an acquisition, we have a workforce development team for security. We actually are a Palo authorized training partner. And we're incredibly proud of that fact because we don't just want to configure technology. We want to enable our customers to enhance and maintain their investments with Palo and with all technologies, with all of security. At the same time, we know they can't do everything in-house, and it just might make more sense to do manage through us. So we have end-to-end managed capabilities as well and we continue to enhance that part of our business. >> So a lot, a lot of opportunities for customers there. Talk a little bit about the Palo Alto Network's extension of the value prop that you just talked about. >> Oh yes. We love, you know, Palo is taking a platform approach and really focusing on helping customers rationalize their IT infrastructure around security. We're doing the same exact thing and focusing on zero trust is huge. We're, we're having those conversations with our customers as well. We want them to take their Palo investment and try to create a platform approach because there's simplicity and cost savings in that. The security conversations becoming a CFO conversation, right? We love rationalizing those technology investments in a way that makes sense. And we're right in line with Palo in that we want to provide those capabilities end to end and we want to ensure they integrate and use that all of the capabilities within your platform to the extent of that investment, right? We want them to use everything and not just parts of the technology or just do a partial deployment. We want them to use everything that it functionally is available to them through that investment. >> Dakesh, in his keynote this morning, said the answer is not just more people. I know there's this, this, this gap between the number of required number of cyber professionals that we need and >> Stephanie: Oh yeah. >> And how many employees we have, et cetera, et cetera. However, you just can't get there overnight. So that's where service providers, you know, come in. >> Stephanie: It's huge. >> I saw a stat recently, I think it said 50% of organizations in North America don't have a SOC. >> That's true. >> Okay. So they, they need managed services. So, >> Stephanie: They do. >> What are you seeing with some of the small and mid-size companies >> Stephanie: Managed >> and, and and how does, how is that, how is that going? We're entering a new era with, >> Stephanie: Yeah with, you know, cloud can can be a, a great help and and reduce the IT load internally. >> Yeah. >> Dave: What, what's the dynamic like in the customer base? >> Smaller customers especially they just can't attract the cyber talent. It's a high demand field because there just aren't many people who have that capability, right? For us, providing managed a managed SOC is huge. One of our key acquisitions, Sirius, was our largest acquisition recently, brought us a 24 7 managed SOC capability. And that's exactly what our mid-size customers want and demand and what they need, and it's more cost effective. And now they don't have to worry about being a security business. That's not what they are. They need to run their businesses and that's what we provide through managed capabilities especially for that customer base in particular. >> Lisa: And and >> Dave: How about the really small customers, right? Who, who, you know, they're in some ways the most vulnerable. >> Yeah >> Right? >> In many ways >> They don't have the budgets they're kind of working hand to mouth. How, how do you help them? >> Stephanie: Yeah. Yeah. So we, we provide cost effective managed capabilities. So there's managed for enterprise, there's managed for mid-market, but then for small medium businesses they want something that is at the right price point. And that's what we're doing actually in co-development with Palos. That's why we're expanding, not just our professional services capabilities with the Palo platform, but also providing managed support for every aspect of the platform so that customers don't need to invest in full-time employees to do that. They can, they have a predictable cost model that's affordable, that they can leverage over time. So we're very intent on making sure we're fulfilling that not just for our big customers but also for SMB and our, and small businesses as well. >> So you really have that whole suite taken care of >> The whole suite, yeah. I want to talk about some of the the large enterprises for a second. I saw a survey recently that, you know, you talked about security is a board level conversation. It is. >> Stephanie: Very much so. >> We talk about that all the time, CFO conversation but the survey that I saw recently was that there's not there's lack of alignment on boards with the executive suite where security is concerned. Are you seeing that and how can CDW and the Palo Alto partnership help gain that important alignment? >> Stephanie: Yeah So we, we face this all the time. What's on the CISO whiteboard might not be on the CFO's whiteboard or the, the board's whiteboard right? We love, and this is the whole part of our strategy and our strategy partnering with Palo, is that we want to engage further up on the, on the cycle. The, you know, we don't want to to talk to them at the end of the purchasing cycle because we're not providing value. >> Lisa: Yeah. >> We want to help advise them and build the business case. And by them, I mean our CISOs are, you know the heads of network security. You know, their are various stakeholders that we want to engage with to help them build the business case and the justification so that they are speaking the same language as the board member, the CFO. And we do that in many ways. I think the biggest is that we've we've built a global security strategy office that encompasses practitioners. So these are former CISOs, CIOs CTOs who have sat in their shoes and done what they've done. And we bring that experience to bear, coincidentally but not so coincidentally, Palo has the same capability. So Palo's also has a team of field CISOs and former practitioners. So we're partnering together to make sure that we're enabling our customers in, in providing the right value statements and the the right ROI within the the board meetings so that they get that investment right. And they're able to do what they need to do to secure the infrastructure. >> Dave: I mean, historically the business case has been we're going to help you not get breached, and you're going to reduce your, your, your loss >> Stephanie: (indistinct) still relevant. >> And, and I'm, and it's still very relevant. Is there any sort of on the other side of the algebra algebraic equation where actually having this kind of security practice can actually drive productivity >> Absolutely. >> Or or even drive revenue and can you talk about that part of the equation? >> Stephanie: Yeah, security as an industry, we're we've gotten a lot smarter. We understand it's not just about the compliance aspect or the data privacy aspect. It's very important to your point, you know breach prevention is certainly, you know, a a great justification. It's also about automation. So you think of SOAR, right? Providing automation and visibility and dashboard views into who's doing what actually really reduces administrative overhead. We, you know, we want to re-allow our clients to repurpose individuals because there are a finite amount of people in the security industry to focus on higher value tasks. So we're enabling just a lot of cost savings through that. Self-service is a big piece of this. You know, when you think about security we bring along a lot of automation, self-service automation of business logic, and business process. There's a huge value in cost savings attached to that. So that's huge. That's a huge part of the security conversation. >> I was reading, you talked about the cybersecurity skills gap and I was reading some interesting numbers that there's 26 million developers in the world less than 3 million cybersecurity professionals. >> Stephanie: Yeah. >> Talk to us about one of your favorite customer stories where you think CDW and Palo really nailed it in terms of helping organization drive that value the top line value, the bottom line value while enabling them with your expertise. >> Oh my gosh, I don't even want to focus on one because since we became a Palo authorized training partner we have worked with over a hundred clients. We just started this this year and we've helped over a hundred clients and thousands of people get enabled on on Palo firewall configuration and training and development. So we've co, we've partnered together as and we've impacted over a hundred organizations this year in making sure their people are enabled and they're, they're going from that I'm a developer generic to I'm a security professional. So we're helping to close that cybersecurity workforce gap. And we're just so excited at the scale we've been able to do that in such a short amount of time that, I mean, if you think about next year and the year following I mean it's going to be thousands of different clients. But you think about each client, we're impact we're, we're holding classes with 30 plus people. So we've already impacted thousands of people which is amazing. >> Right? So the idea to scale the program in in calendar year 2023 >> Absolutely. We're going to, we, we tried it. This was a trial run and it was amazingly successful trial run. So we're incredibly excited to scale this even more and continue to provide, you know, that element, that workforce development element, that training element for the entire Palo's stack, not just elements of it. >> Lisa: Excellent. Stephanie, thank you so much for joining us on the program. >> Stephanie: Thank you. >> Sharing what CDW and Palo Alto Networks are doing together. The what's in it for me from a customer perspective, big impact there. We appreciate your insights. >> Thank you so much. >> Dave: Great to have you >> Lisa: Our pleasure. >> It's great to have, great to be here. >> Yeah. For our guest and for Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live and emerging tech coverage.

Published Date : Dec 14 2022

SUMMARY :

brought to you by Palo Alto Networks. at the MGM Grand for Palo and company CDW, that I remember, the VP of Security at CDW. it's great to have you on the program. It's so nice to be here. acquisitions in the past couple and help influence the by the customers and what they were and hear and be able to do. to really create higher value, you know that you actually came into And at the same time you had and security is at the top of the list. So we consider ourselves Oh, I mean, we see, in and how to secure hybrid I'm a customer, what can you do for me? and that we can scale. At the same time, we know they extension of the value prop in that we want to provide between the number of required And how many employees we of organizations in North need managed services. and and reduce the IT load internally. And now they don't have to worry Dave: How about the really They don't have the budgets for every aspect of the platform I saw a survey recently that, you know, and the Palo Alto partnership help of the purchasing cycle and the the right ROI within the other side of the algebra That's a huge part of the developers in the world the top line value, the bottom line value I'm a developer generic to and continue to provide, Stephanie, thank you so much We appreciate your insights. the leader in live and

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Stephanie Chiras, Red Hat & Manasi Jagannatha, AWS | AnsibleFest 2022


 

(upbeat music) >> Hey everyone, welcome back to Chicago theCUBE is live on the floor at AnsibleFest 2022, the first in-person Ansible event that we've covered since 2019. Lisa Martin here with John Furrier. John, great to be here. There's about 1400 to 1500 people here in person, the partner ecosystem is growing and evolving, and that's going to be one of the themes of our next conversation. >> CloudScale is continuing to change the ecosystem, and this segment with AWS is going to be awesome. >> Exactly, we've got one of our alumni back with us, Stefanie Chiras joins us again, senior vice president, partner ecosystem success at Red Hat. and Manasi Jagannatha is also here Global Alliance Manager at AWS. Ladies, welcome to the program. >> Both: Thank you. >> Manasi: Nice to be here. >> Stefanie: Yeah. >> So some exciting news that came out. First of all was great to see you on stage. >> Thank you. >> In front of a live audience. The community is, you talked about this before we went live. The Ansible is nothing, if not the community. So I can only imagine how great that felt to be on stage in front of live bodies announcing the next step with Ansible and AWS. Tell us about that. >> I mean, you can't compete with the energy that comes from a live event. And I remember the first AnsibleFest I came to, it's just this electric feeling born out of the community, born out of collaboration and getting together feeds that collaboration in a way that like nothing else. >> Lisa: Can't do it by video alone. >> You cannot. And so it was so fun cuz today was big news. We announced that Ansible will be available through the AWS marketplace, the next step in our partnership journey. And we've been hearing like most of our announcements, we do these because customers ask for them. And that's really what is key. And the combination of what Red Hat brings to the table and what AWS brings to the table. That's what underpins this announcement this morning. >> Talk about it from a customer demand perspective and how you are not only meeting customers where they are, but you're speaking their language. >> Manasi: Yeah. >> Yeah, there's a couple of aspects and then I want to pass it to Manasi because nothing speaks better than a customer experience. But the specifics I think of what come together is this is where technology, procurement, experience, accessibility all come together. And it took both of us in order to do that. But we actually talked about a great example today, the TransUnion. >> So we have TransUnion, they are a credit reporting company and they're a giant customer. They use RHEL, they use AWS services. So while they were transitioning to the cloud, the first thing they wanted to know was compliance, right? Like, how do we have guardrails around compliance? That was a key feature for them. And then the other piece was how do we scale without increasing the complexity? And then the critical piece was being able to integrate with the depth of AWS services without having to do it over and over again. So what TransUnion did was they basically integrated Ansible automation platform with the AWS Cloud Control API that gave them the flexibility To basically integrate with what, 200 plus services? And it's amazing to see them grow over time. >> What's interesting is that Amazon, obviously cloud has been awesome. We've been covering it since the beginning. DevOps infrastructures code was the dream. Now it's app says code, you have configuration code before that. As cloud goes next level here, we're starting to see a lot more higher level services on AWS being adopted by customers. And so I want to get into how the marketplace deal works. So what's in it for the customer? Because as they bring Ansible across the enterprise and edge, now we're seeing that develop. If I'm the customer, am I buying it through the marketplace? What's the mechanics of the deal? Can I just tap into the bill, explain the marketplace workflow or how it works? >> Yeah, I'd love to do that. So customers come to the marketplace for three key benefits, right? Like one is the consumption based model, pay as you go, you can get hourly, annual, and spot instances. For some services you even get per second billing, right? Like, that's amazing, that's one. And then the other piece is John and Stefanie, as you know, customers would love to draw down on their EDPs, right? Like they want a single- >> EDPs, explain that with acronym. >> It's enterprise discount program. So they want a single bill where they can use third party services and AWS services and they don't have to go through the hustle of saying, "Hey, let me combine all these different pieces." So combining that, and of course the power of Ansible, right? Like customers love Ansible, they've built playbooks. The beauty of it is whatever you want to build on AWS, there is most likely a playbook or a module that already exists. So they can just tap into that and build into- >> Operationally it's a purchasing through marketplace. >> And you know, I mean, being an engineer myself, we always often get caught up in the technology aspect. Like what's the greatest technology? And everyone, as Manasi said, everyone loves the technology of Ansible, but the procurement aspect is also so important. And this is where I think this partnership really comes together. It is natively, Ansible is now, natively integrated into AWS billing. So one bill, you go and you log in. Now you have a Red Hat subscription, you get all the benefits from Red Hat that comes along with that subscription. But the like Ansible is all about simplicity. This brings simplicity to that procurement model and it allows you to scale within your AWS cloud environment that you have set up. And as Manasi mentioned, pull in those other native services from AWS. It's Great. >> It's interesting one of the things that buzzword Lisa and I were just talking as in the industry is the word multiplayer. I've heard people say that's multiplayer software, kind of a gaming analogy. But what you guys are doing is setting up, once they go with Ansible in the marketplace, they're just buying as things get more collaborative off the marketplace. So it kind of streamlines, if I get this right. >> Stefanie: Yep. >> The purchasing process. So they're already in, they just use it's on the bill. Is that kind of how it works? >> Yep. >> Absolutely done, yeah. >> So it the customer has a partnership with us more on the technology side and this particular case and with AWS and the procurement side, it brings that together. >> So multiplayer software, is it multiplayer software? >> We like to talk about multi-partner solutions and I think this provides a new grounding for other partners to come in and build upon that with their services capabilities, with their other technology capabilities. So well clearly in my world, we talk about multi-partner. (both laughs) >> Well, what you're doing is empowering the developers. I know that Red Hat is one of its goals is let's make things much more seamless, much smoother for the developers as the buyer's journey has changed. And John, you've talked about that quite a bit. You're empowering those buyers to actually have a much simpler, streamlined process and to be able to start seeing automation become democratized across organizations. >> Yeah, and one of the things I love about the announcement as well is it pulls in the other values of Ansible automation platform in that simplicity model that you mentioned with like things like certified collections, certified collections that have been built by partners. We have built certified collections, to go along with this offering as well as part of the AWS offering that pulls in these other partner engagements together. And as you said, democratizes not only what we've done together, but what we've done with other partners together. >> Lisa: Right. >> Yeah. >> Can you kind of talk kind of about the depths of the partnership, the co-engineering, and sort of the evolution and the customer involvement in the expansion of the partnership? >> Yeah, I'd love to walk you through that. So we've had a longstanding partnership coming up on 15 years now Stefanie, can you believe it? >> Stefanie: Yeah. (laughs) >> 15 years we've been building, to give you some historical context, right? In back in 2008 we launched RHEL and in 2015 we supported SAP workloads on RHEL. And then the list goes on, right? Like we've been launching Graviton instances, Arm instances, Nitro. The key to be noted here is that every new instance Launch, RHEL has always been supported on day one, right? Like that's been our motto. So that's one. And then in 2021, as you know, we launched Rosa Red Hat OpenShift service on AWS. And that's helped customers with their modernization journey to AWS. So that's been context historically around where we were and where we are today. And now with Ansible, it just gives customer another tool in their arsenal, right? And then the goal is to make sure we meet customers where they are, give them all the Red Hat products that they love using on their hybrid workloads. >> Sounds like a lot is coming maybe at re:Invent too, coming up. >> Yeah. >> What's next? >> This is the beginning, right? We'll continue to grow and based upon not only laying the building blocks for what customers can build with, and you mentioned Lisa, right? We follow this journey that Manasi talked about because of what customers ask for. So it's always a new adventure to determine what'll come next based upon what we hear from our joint customers. >> On that front though, Stefanie, talk about the impact of the broader ecosystem that this is just scratching the surface. >> One of the things, and we've been going through a whole transformation at Red Hat about how we engage with the ecosystem. We've done organizational shifts, we've done a complete revamp of how we engage with the ecosystem. One of our biggest focus is to make sure that the partnerships that we have with one partner bring value to the rest of our partners. No better example than something like this when we work with AWS to create accessibility and capability through a procurement model that we know is important to customers. But that then serves as a launch point for other partners to build certified collections around or now around validated content, which we talked about today at AnsibleFest, that allows other partners to engage. And we're seeing a huge amount in services partners, right? Automation is so pervasive now as customers want to go out and scale. We're seeing services partners really come in and help customers go from, it's always challenging when you have a broad set of IT. You have cloud native over here, you have bare metal over here, you have virtual, it's complex. >> John: Yeah. >> There's sometimes an energy activation barrier to get over that initial automation. We're seeing partners come in with really skilled services capabilities to help customers get over that hump to consolidate with an automation plan. It gets them better equipped to do day one automation and day two automation. And that's where Ansible automation platform is going. It's not just about configuration management, it's about day two management as well. >> Talk about those barriers a little bit more and how Ansible and AWS together are helping customers really knock those out of the park. Another baseball reference for you. We see that a lot of organizations, the skills gap, which we've talked about already on the conversation today, but Ansible as being a facilitator of helping organizations to attract talent, to retain talent, but also customers that maybe don't know where to start or don't know how to determine the ROI that automating processes will bring. How can this partnership help customers nock those out of the park? >> So I'll start and then I'll pass it to Manasi here. But I think one of the key things in this particular partnership is just plain old accessibility. Accessibility, which public cloud has taught the world a new way to get fast access that consumption based pricing. Right you can get your hands on it, you can test it out, you can have a team go in and test it out, and then you can see it's built for scale. So then you can scale it as far as you want to go forward. We clearly have an ecosystem of services partners, so does AWS to help people then sort of take it to the next level as they want to build upon it. But to me the first step is about accessibility, getting your hands dirty. You can build it into those committed spend programs that you may have with AWS as well to try new things. But it's a great test bed. >> Absolutely. And then to add to what Stefanie said, together Red Hat and AWS, we have about a hundred thousand partners combined, right? Like resellers, sis, GSI, distributors. So the reach the combined partnership has just amplifies. >> Yeah, it's huge news. I think it's a big deal because you operationalize the heavy lifting of procurement for all your joint customers and the scale piece is huge. So congratulations. I think it's going to make a lot of money for Ansible. So good call there. My question is, as we hear here, the next level's edge. So AWS has been doing a ton of hybrids since outpost announcement years ago. Now you got all kinds of regional expansions, you've got local zones, you've got all kinds of new edge activity. So are there dots connecting here with the edge with Red Hat Ansible? >> Do you want- >> Yeah, so I think we see two trends with our customers, right? Like mainly I'm specifically talking about our RHEL customer base on AWS. We have almost hundreds to thousands of customers using RHEL on AWS. These are 90% of fortune 500 companies use RHEL, right? So with that customer base, they are looking to expand your point into the edge. There's outposts, there are so many hybrid environments that they're trying to expand in. So just adding Ansible, RHEL, Rosa, OpenShift, that entire makes, just gives customers that the plethora of products they need to run their workloads everywhere, right? Like we have certifications outpost, we have certifications with OpenShift, right? So it just completes the puzzle, if you- >> So it's a nice fit. >> Yeah. >> It is a really nice fit. And I love Edge and Edge once you start going distributed, this automation aspect is key for all the reasons, for security reasons to make sure you do it the same way every single time. It's just pervasive in it. But things like the Cloud Control API allow it to bridge into things like Outpost. It allows a simple way, one clean way to do API and then you can expand it out and get the value. >> So this is why you are on stage and you said that Ansible's going to expand the scope to be more enterprise architecture. >> Stefanie: That's right. >> That's essentially what you're getting at. This is now a distributed computing fabric at cloud scale on AWS. >> Stefanie: That's right. >> Did I get that right? >> Yep, and it touches all the different deployments you may have, on-prem, virtual, cloud native, you name it. >> So how do the people turn into architects? Cuz this is, again, we had this earlier conversation with Tom, multi-tool players, a baseball analogy I used. It's like signifies the best player, your customers are becoming multiple tool players or operators. The new operator is now the top talent. They got to run Ansible, they got to automate, they got to provide services to the cloud native developers. So this new role is emerging, it's not a cloud architect but it's, if it's going to be system architecture wide, what's this new person look like that's going to run all this? >> I think it's an interesting question. We were talking yesterday, actually, Tom and I were talking with the partners. We had Partner Day, the first ever at AnsibleFest yesterday, which was great. We got a lot of insight. They talked a lot about this platform focus, right? Customers are looking to create that platform so that the developers can come in and build upon it without compromising what they want to do. So I do think there's a move in that direction to say how do you create these platforms at a company that no compromises, but it provides that consistency. I would say one thing in partnerships like this, I think customer expectations on the partner ecosystem to have it be trusted is increasing. They expect us as we've done to have our engineers roll up their sleeves together to come to the table together. That's going to show up in our curated content. It's going to show up in our validated content. Those are the places I think where we come up from the bottom through our partnership and we help bridge that gap. >> John: Awesome. >> And trust was brought up a number of times this morning during the keynote. We're almost out of time here, but I think it's one of those words that a lot of companies use. But I think what you're showing is really the value in it from Ansible's perspective from AWS's perspective and ultimately the value in it for the customer. >> Stefanie: Yes. >> So I got to ask you one final question. >> Stefanie: Absolutely. >> And maybe as as reinvent is around the corner, what's next for the partnership? Obviously big news today, Manasi, looking down down the pipe- >> Stefanie: Big news today. >> What are some of the things that you think are going to become next that you can share? >> I mean at this point, and I'll pass it to Manasi to close us out, but we are continuing to follow, to meet our customers where they want to be. We are looking across our portfolio for different ways that customers want to consume within AWS. We'll continue to look at the procurement models through the partner programs that Manasi and the team have had. And to me the next step is really bringing in the rest of the ecosystem. How do we use this as a grounding step? >> Yeah, absolutely. So we are always listening to customer feedback and they want more Red Hat products in the marketplace. So that's where we'll be. >> In the marketplace. >> Congratulations great deal. >> Yes great work there guys. And customers always want more. That's the thing. But that's what keeps us going. So we love it. >> Absolutely. >> Thank you so much for joining John and me on the program today. It's been great to have you. And congratulations again. >> It's a pleasure. >> Thank you. >> For our guests and for John Furrier, I'm Lisa Martin. You're watching theCUBE Live from Chicago at AnsibleFest 2022. This is only day one of our coverage. We'll be back after a short break for more. (upbeat music)

Published Date : Oct 18 2022

SUMMARY :

and that's going to be one of the themes is going to be awesome. of our alumni back with us, to see you on stage. So I can only imagine how great that felt And I remember the first And the combination of what and how you are not only meeting But the specifics I think And it's amazing to see Can I just tap into the bill, So customers come to the marketplace and of course the power of Ansible, right? Operationally it's a and it allows you to scale is the word multiplayer. Is that kind of how it works? So it the customer We like to talk about and to be able to start seeing automation Yeah, and one of the things Yeah, I'd love to And then the goal is to make sure Sounds like a lot is coming maybe This is the beginning, right? of the broader ecosystem that the partnerships that to consolidate with an automation plan. on the conversation today, So then you can scale it as And then to add to what Stefanie said, and the scale piece is huge. So it just completes the puzzle, if you- and then you can expand So this is why you are on stage This is now a distributed computing fabric the different deployments So how do the people so that the developers can is really the value in it and the team have had. products in the marketplace. That's the thing. on the program today. This is only day one of our coverage.

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AWS Partner Showcase S1E3 2022 035 Stephanie Curry and Danielle Greshock


 

>>Hey everyone. Welcome to the AWS partner showcase season one, episode three women in tech. I'm your host. Lisa Martin. We've got two female rock stars here with me next. Stephanie Curry joins us the worldwide head of sales and go to market strategy for AWS at NetApp and Danielle GShock is back one of our QM ISV PSA director at AWS. Looking forward to a great conversation, ladies, about a great topic, Stephanie, let's go ahead and start with you. Give us an overview of your story, how you got into tech and what inspired you. >>Thanks so much, Lisa and Danielle. It's great to be on this show with you. Thank you for that. My name's Stephanie curs. Lisa mentioned I'm the worldwide head of sales for AWS at NetApp and run a global team of sales people that sell all things AWS going back 25 years now, when I first started my career in tech, it was kind of by accident. I'd come from a different background. I have a business background and a technical background from school, but had been in a different career. And I had an opportunity to try something new. I had an ally really that reached out to me and said, Hey, you'd be great for this role. And I thought, I'd take a chance. I was curious. And it, it turned out to be a 25 year career that I'm really, really excited about and, and really thankful for that person for introducing me to the, to the industry >>25 years in counting. I'm sure Danielle, we've talked about your background before. So what I wanna focus on with you is the importance of diversity for high performance. I know what a machine AWS is, and Stephanie, I'll come back to you with the same question, but talk about that, Danielle, from your perspective, that importance for diversity to drive the performance. >>Yeah. I truly believe that, you know, in order to have high performing teams, that you have to have people from all different types of backgrounds and experiences. And we do find that oftentimes being, you know, field facing, if we're not reflecting our customers and connecting with them deeply on, on the levels that they're at, we, we end up missing them. And so for us, it's very important to bring people of lots of different technical backgrounds experiences. And of course, both men, women, and underrepresented minorities, and put that forth to our customers in order to make that connection and to end up with better outcomes. So >>Definitely it's all about outcomes, Stephanie, your perspective and NetApp's perspective on diversity for creating highly performing teams and organizations. >>I really aligned with Danielle on the comment she made. And in addition to that, you know, just from building teams in my career note, we've had three times as many women on my team since we started a year ago and our results are really showing in that as well. We find the teams are stronger, they're more collaborative and to Danielle's point really not only our partners, but our customers themselves. So this really creates connections, which are really, really important to scale our businesses and, and really meet the customer where they're at as well. So huge proponent of that ourselves, and really finding that we have to be intentional in our hiring and intentional in how we attract diversity to our teams. >>So Stephanie let's stay with you. So a three X increase in women on the team in a year, especially the kind of last year that we've had is really incredible. I, I like your, I, your thoughts on there needs to be a, there needs to be focus and, and thought in how teams are hired. Let's talk about attracting and retaining those women now, especially in sales roles, we all know the number, the percentages of women in technical roles, but what are some of the things that, that you do Stephanie, that NetApp does to attract and retain women in those sales roles? >>The, the attracting part's really interesting. And we find that, you know, you, you read the stats and I'd say in my experience, they're also true in the fact that a lot of women would look at a job description and say, I can't do a hundred percent of that. So I'm not even going to apply with the women that we've attracted to our team. We've actually intentionally reached out and targeted those people in a good way to say, Hey, we think you've got what it takes. Some of the feedback I've got from those women are, gosh, I didn't think I could ever get this role. I didn't think I had the skills to do that. And they've been hired and they are doing a phenomenal job. In addition to that, I think a lot of the feedback I've got from these hires are, Hey, it's an aggressive sales is aggressive. Sales is competitive. It's not an environment that I think I can be successful in. And what we show them is bring those softer skills around collaboration, around connection, around building teams. And they do, they do bring a lot of that to the team. Then they see others like them there and they know they can be successful cuz they see others like them on the team. >>The whole concept of we can't be what we can't see, but we can be what we can see is so important. You said a couple things, Stephanie, that really stuck with me. And one of 'em was an, an interview on the cube I was doing, I think a couple weeks ago about women in tech. And the stat that we talked about was that women will apply will not apply for a job unless they meet 100% of the skills and the requirements that it's listed, but men will, if they only meet 60. And I, that just shocked me that I thought, you know, I, I can understand that imposter syndrome is real. It's a huge challenge, but the softer skills, as you mentioned, especially in the last two years, plus the ability to communicate, the ability to collaborate are incredibly important to, to drive that performance of, of any team of any business. >>Absolutely. >>Danielle, talk to me about your perspective in AWS as well for attracting and retaining talent and, and, and particularly in some of those challenging roles like sales that as Stephanie said, can be known as aggressive. >>Yeah, for sure. I mean, my team is focused on the technical aspect of the field and we definitely have an uphill battle for sure. Two things we are focused on first and foremost is looking at early career women and that how we, how can we bring them into this role, whether in they're in support functions, cl like answering the phone for support calls, et cetera, and how, how can we bring them into this organization, which is a bit more strategic, more proactive. And then the other thing that as far as retention goes, you know, sometimes there will be women who they're on a team and there are no other women on that team. And, and for me, it's about building community inside of AWS and being part of, you know, we have women at solution architecture organizations. We have, you know, I just personally connect people as well and feel like, oh, you should meet this person. Oh, you should talk to that person. Because again, sometimes they can't see someone on their team like them and they just need to feel anchored, especially as we've all been, you know, kind of stuck at home during the pandemic, just being able to make those connections with women like them has been super important and just being a long tenure Amazonian, that's definitely one thing I'm able to, to bring to the table as well. >>That's so important and impactful and spreads across organizations in a good way. Daniel let's stick with you. Let's talk about some of the allies that you've had sponsors, mentors that have really made a difference. And I said that in past tense, but I also mean in present tense, who are some of those folks now that really inspire you? >>Yeah. I mean, I definitely would say that one of my mentors and someone who ha has been a sponsor of my career has Matt ion, who is one of our control tower GMs. He has really sponsored my career and definitely been a supporter of mine and pushed me in positive ways, which has been super helpful. And then other of my business partners, you know, Sabina Joseph who's cube alum as well. She definitely has been, was a fabulous partner to work with. And, you know, between the two of us for a period of time, we definitely felt like we could, you know, conquer the world. It's very great to go in with a, with another strong woman, you know, and, and get things done inside of an organization like AWS. >>Absolutely. And know S I've had, I've been agreed here several times. So Stephanie, same question for you. You talked a little bit about your kind of, one of your original early allies in the tech industry, but talk to me about allies sponsors, mentors who have, and continue to make a difference in your life. >>Yeah. And, you know, I think it's a great differentiation as well, right? Because I think that mentors teach us sponsors show us the way and allies make room for us at the table. And that is really key difference. I thinks also as women leaders, we need to make room for others at the table too, and not forget those softer skills that we bring to the table. Some of the things that Danielle mentioned as well about making those connections for others, right. And making room for them at the table. Some of my allies, a lot of them are men. Brian ABI was my first mentor. He actually is in the distribution, was in distribution with advent tech data no longer there, Cory Hutchinson, who's now at Hashi Corp. He's also another ally of mine and remains an ally of mine, even though we're not at the same company any longer. So a lot of these people transcend careers and transcend different positions that I've held as well and make room for us. And I think that's just really critical when we're looking for allies. And when allies are looking for us, >>I love how you described allies, mentors and sponsors Stephanie. And the difference, I didn't understand the difference between a mentor and a sponsor until a couple of years ago. Do you talk with some of those younger females on your team so that when they come into the organization and maybe they're fresh outta college, or maybe they've transitioned into tech so that they can also learn from you and understand the importance and the difference between the allies and the sponsors and the mentors? >>Absolutely. And I think that's really interesting because I do take an extra approach and extra time to really reach out to the women that have joined the team. One, I wanna make sure they stay right. I don't want them feeling, Hey, I'm alone here and I need to, I need to go do something else. And they are located around the world, on my team. They're also different age groups. So early in career, as well as more senior people and really reaching out, making sure they know that I'm there. But also as Danielle had mentioned, connecting them to other people in the community that they can reach out to for those same opportunities and making room for them >>Make room at the table. It's so important. And it can, you never know what a massive difference and impact you can make on someone's life. And I, and I bet there's probably a lot of mentors and sponsors and allies of mine that would be surprised to know the massive influence they've had Danielle back. Let's talk about some of the techniques that you employ that AWS employs to make the work environment, a great place for women to really thrive and, and be retained as Stephanie was saying. Of course that's so important. >>Yeah. I mean, definitely I think that the community building, as well as we have a bit more programmatic mentorship, we're trying to get to the point of having a more programmatic sponsorship as well. But I think just making sure that, you know, both E everything from recruit to onboard to ever boarding that they they're the women who come into the organization, whether it's they're coming in on the software engineering side or the field side or the sales side that they feel as though they have someone working with them to help them drive their career. Those are the key things that were, I think from an organizational perspective are happening across the board. For me personally, when I run my organization, I'm really trying to make sure that people feel that they can to me at any time open door policy, make sure that they're surfacing any times in which they are feeling excluded or anything like that, any challenges, whether it be with a customer, a partner, or with a colleague. And then also of course, just making sure that I'm being a good sponsor to, to people on my team. That is key. You can talk about it, but you have to start with yourself as well. >>That's a great point. You you've got to, to start with yourself and really reflect on that and, and look, am I, am I embodying what it is that I need? And not that I know they need that focused, thoughtful intention on that is so importants, let's talk about some of the techniques that you use that NetApp uses to make the work environment, a great place for those women are marginalized communities to really thrive. >>Yeah. And I appreciate it. And it much like Danielle and much like AWS, we have some of those more structured programs, right around sponsorship and around mentorship, probably some growth there, opportunities for allies, because I think that's more of a newer concept in really an informal structure around the allies, but something that we're growing into at NetApp on my team personally, I think leading by example is really key. And unfortunately, a lot of the life stuff still lands on the women, whether we like it or not, I have a very active husband in our household, but I still carry when it push comes to shove it's on me. And I wanna make sure that my team knows it's okay to take some time and do the things you need to do with your family. I'm I show up as myself authentically and I encourage them to do the same. >>So it's okay to say, Hey, I need to take a personal day. I need to focus on some stuff that's happening in my personal life this week. Now obviously make sure your job' covered, but just allowing some of that softer vulnerability to come into the team as well, so that others, men and women can feel they can do the same thing. And that it's okay to say, I need to balance my life and I need to do some other things alongside. So it's the formal programs, making sure people have awareness on them. I think it's also softly calling people out on biases and saying, Hey, I'm not sure if you know, this landed that way, but I just wanted to make you aware. And usually the feedback is, oh my gosh, I didn't know. And could you coach me on something that I could do better next time? So all of this is driven through our NetApp formal programs, but then it's also how you manifest it on the teams that we're leading. >>Absolutely. And sometimes having that mirror to reflect into can be really eye-opening and, and allow you to, to see things in a completely different light, which is great. You both talked about kind of being what you can see. And, and I know both companies are obsess customer obsessed in a good way. Talk to me a little bit, Danielle, go back over to you about the AWS NetApp partnership. Some of the maybe alignment on, on performance on obviously you guys are very well aligned in terms of that, but also it sounds like you're quite aligned on diversity and inclusion. >>Well, we definitely do. We have the best partnerships with companies in which we have these value alignments. So I think that is a positive thing, of course, but just from a, from a partnership perspective, you know, from my five now plus years of being a part of the APN, this is, you know, one of the most significant years with our launch of FSX for NetApp, with that key key service, which we're making available natively on AWS. I, I can't think of a better Testament to the, to the partnership than that. And that's doing incredibly well and it really resonates with our customers. And of course it started with customers and their need for NetApp. So, you know, that is a reflection, I think, of the success that we're having together. >>And Stephanie talk to about the partnership from your perspective, NetApp, AWS, what you guys are doing together, cultural alignment, but also your alignment on really bringing diversity into drive performance. >>Yeah, I think it's a, a great question. And I have to say it's just been a phenomenal year. Our relationship has started before our first party service with FSX N but definitely just the trajectory between the two companies since the announcement about nine months ago has just taken off to a, a new level. We feel like an extended part of the family. We worked together seamlessly. A lot of the people on my team often say we feel like Amazonians, and we're really part of this transformation at NetApp from being that storage hardware company, into being an ISV and a cloud company. And we could not do this without the partnership with AWS and without the first party service of Fs XM that we've recently released. I think that those joint values that Danielle referred to are critical to our success, starting with customer obsession and always making sure that we are doing the right thing for the customer. >>We coach our team teams all the time on if you are doing the right thing for the customers, you cannot do anything wrong. Just always put the customer at the dis in the center of your decisions. And I think that there is a lot of best practice sharing and collaboration as we go through this change. And I think a lot of it is led by the diverse backgrounds that are on the team, female, male race, and so forth, and just to really have different perspectives and different experiences about how we approach this change. So we definitely feel like we're part of the family. We are absolutely loving working with the AWS team and our team knows that we are the right place, the right time with the right people. >>I love that last question for each of you. And I wanna stick with you Stephanie advice to your younger self, think back 25 years. What advice would you seen what you've accomplished and maybe the, the turns and, and serendipitous route that you've taken along the way, what would you advise your younger Stephanie self? >>I would say keep being curious, right? Keep being curious, keep asking questions. And sometimes when you get a no, it's not a bad thing, it just means not right now and find out why and, and try to get feedback as to why maybe that wasn't the right opportunity for you, but, you know, just go for what you want. Continue to be curious, continue to ask questions and find a support network of people around you that wanna help you because they are there and they are, they wanna see you be successful too. So never be shy about that stuff. >>Absolutely. And I always say failure does not have to be a bad F word. A no can be the beginning of something. Amazing. Danielle, same question for you. Thinking back to when you first started in your career, what advice would you give your younger self? >>Yeah, I think the advice I'd give my younger self would be, don't be afraid to put yourself out there. It's certainly, you know, coming from an engineering background, maybe you wanna stay behind the scenes, not, not do a presentation, not do a public speaking event, those types of things, but back to what the community really needs. This thing, you know, I genuinely now took me a while to realize it, but I realized I needed to put myself out there in order to, you know, allow younger women to see what they could be. So that would be the advice I would give. Don't be afraid to put yourself out there. >>Absolutely. That advice that you both gave are, is so fantastic, so important and so applicable to everybody. Don't be afraid to put yourself out there, ask questions. Don't be afraid of a, no, that it's all gonna happen at some point or many points along the way. That can also be good. So thank you ladies. You inspired me. I appreciate you sharing what AWS and NetApp are doing together to strengthen diversity, to strengthen performance and the advice that you both shared for your younger was brilliant. Thank you. >>Thank you. >>Thank you >>For my guests. I'm Lisa Martin. You're watching the AWS partner showcase. See you next time.

Published Date : May 18 2022

SUMMARY :

Welcome to the AWS partner showcase season one, episode three women And I had an opportunity to try something new. So what I wanna focus on with you is the importance of diversity for And we do find that oftentimes being, you know, field facing, if we're not reflecting Definitely it's all about outcomes, Stephanie, your perspective and NetApp's perspective on diversity And in addition to that, you know, just from building teams but what are some of the things that, that you do Stephanie, that NetApp does to attract and retain And we find that, you know, you, you read the stats and I'd say in my And I, that just shocked me that I thought, you know, I, I can understand that imposter syndrome is real. Danielle, talk to me about your perspective in AWS as well for attracting and retaining just being able to make those connections with women like them has been super important and And I said that in past tense, between the two of us for a period of time, we definitely felt like we could, you know, conquer the world. in the tech industry, but talk to me about allies sponsors, mentors who have, And I think that's just really critical when we're looking for allies. I love how you described allies, mentors and sponsors Stephanie. the community that they can reach out to for those same opportunities and making room for them Let's talk about some of the techniques that you employ that AWS employs But I think just making sure that, you know, both E everything from so importants, let's talk about some of the techniques that you use that NetApp And I wanna make sure that my team knows it's okay to And that it's okay to say, I need to balance my life and Talk to me a little bit, Danielle, go back over to you about the AWS NetApp APN, this is, you know, one of the most significant years with our launch of FSX for NetApp, And Stephanie talk to about the partnership from your perspective, NetApp, And I have to say it's just been a phenomenal year. And I think that there is a lot of best practice sharing and collaboration as we go through And I wanna stick with you Stephanie advice to your younger And sometimes when you get a no, it's not a bad thing, Thinking back to when you first started in It's certainly, you know, coming from an engineering background, maybe you wanna stay behind the scenes, I appreciate you sharing what AWS and NetApp are See you next time.

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Wrap with Stephanie Chan | Red Hat Summit 2022


 

(upbeat music) >> Welcome back to theCUBE. We're covering Red Hat Summit 2022. We're going to wrap up now, Dave Vellante, Paul Gillin. We want to introduce you to Stephanie Chan, who's our new correspondent. Stephanie, one of your first events, your very first CUBE event. So welcome. >> Thank you. >> Up from NYC. Smaller event, but intimate. You got a chance to meet some folks last night at some of the after parties. What are your overall impressions? What'd you learn this week? >> So this has been my first in-person event in over two years. And even though, like you said, is on the smaller scale, roughly around 1000 attendees, versus it's usual eight to 10,000 attendees. There's so much energy, and excitement, and openness in these events and sessions. Even before and after the sessions people have been mingling and socializing and hanging out. So, I think a lot of people appreciate these in-person events and are really excited to be here. >> Cool. So, you also sat in some of the keynotes, right? Pretty technical, right? Which is kind of new to sort of your genre, right? I mean, I know you got a financial background but, so what'd you think of the keynotes? What'd you think of the format, the theater in the round? Any impressions of that? >> So, I think there's three things that are really consistent in these Red Hat Summit keynotes. There's always a history lesson. There's always, you know, emphasis in the culture of openness. And, there's also inspirational stories about how people utilize open source. And I found a lot of those examples really compelling and interesting. For instance, people use open source in (indistinct), and even in space. So I really enjoyed, you know, learning about all these different people and stories. What about you guys? What do you think were the big takeaways and the best stories that came out of the keynotes? >> Paul, want to start? >> Clearly the Red Hat Enterprise Linux 9 is a major rollout. They do that only about every three years. So that's a big deal to this audience. I think what they did in the area of security, with rolling out sigstore, which is a major new, I think an important new project that was sort of incubated at Red Hat. And they're trying to put in to create an open source ecosystem around that now. And the alliances. I'm usually not that much on partnerships, but the Accenture and the Microsoft partnerships do seem to be significant to the company. And, finally, the GM partnership which I think was maybe kind of the bombshell that they sort of rushed in at the last minute. But I think has the biggest potential impact on Red Hat and its partner ecosystem that is really going to anchor their edge architecture going forward. So I didn't see it so much on the product front, but the sense of Red Hat spreading its wings, and partnering with more companies, and seeing its itself as really the center of an ecosystem indicates that they are, you know, they're in a very solid position in their business. >> Yeah, and also like the pandemic has really forced us into this new normal, right? So customer demand is changing. There has been the shift to remote. There's always going to be a new normal according to Paul, and open source carries us through that. So how do you guys think Red Hat has helped its portfolio through this new normal and the shift? >> I mean, when you think of Red Hat, you think of Linux. I mean, that's where it all started. You think OpenShift which is the application development platforms. Linux is the OS. OpenShift is the application development platform for Kubernetes. And then of course, Ansible is the automation framework. And I agree with you, ecosystem is really the other piece of this. So, I mean, I think you take those three pieces and extend that into the open source community. There's a lot of innovation that's going around each of those, but ecosystems are the key. We heard from Stefanie Chiras, that fundamental, I mean, you can't do this without those gap fillers and those partnerships. And then another thing that's notable here is, you know, this was, I mean, IBM was just another brand, right? I mean, if anything it was probably a sub-brand, I mean, you didn't hear much about IBM. You certainly had no IBM presence, even though they're right across the street running Think. No Arvind present, no keynote from Arvind, no, you know, Big Blue washing. And so, I think that's a testament to Arvind himself. We heard that from Paul Cormier, he said, hey, this guy's been great, he's left us alone. And he's allowed us to continue innovating. It's good news. IBM has not polluted Red Hat. >> Yes, I think that the Red Hat was, I said at the opening, I think Red Hat is kind of the tail wagging the dog right now. And their position seems very solid in the market. Clearly the market has come to them in terms of their evangelism of open source. They've remained true to their business model. And I think that gives them credibility that, you know, a lot of other open source companies have lacked. They have stuck with the plan for over 20 years now and have really not changed it, and it's paying off. I think they're emerging as a company that you can trust to do business with. >> Now I want to throw in something else here. I thought the conversation with IDC analyst, Jim Mercer, was interesting when he said that they surveyed customers and they wanted to get the security from their platform vendor, versus having to buy these bespoke tools. And it makes a lot of sense to me. I don't think that's going to happen, right? Because you're going to have an identity specialist. You're going to have an endpoint specialist. You're going to have a threat detection specialist. And they're going to be best of breed, you know, Red Hat's never going to be all of those things. What they can do is partner with those companies through APIs, through open source integrations, they can add them in as part of the ecosystem and maybe be the steward of that. Maybe that's the answer. They're never going to be the best at all those different security disciplines. There's no way in the world, Red Hat, that's going to happen. But they could be the integration point. And that would be, that would be a simplifying layer to the equation. >> And I think it's smart. You know, they're not pretending to be an identity in access management or an anti-malware company, or even a zero trust company. They are sticking to their knitting, which is operating system and developers. Evangelizing DevSecOps, which is a good thing. And, that's what they're going to do. You know, you have to admire this company. It has never gotten outside of its swim lane. I think it's understood well really what it wants to be good at. And, you know, in the software business knowing what not to do is more important than knowing what to do. Is companies that fail are usually the ones that get overextended, this company has never overextended itself. >> What else do you want to know? >> And a term that kept popping up was multicloud, or otherwise known as metacloud. We know what the cloud is, but- >> Oh, supercloud, metacloud. >> Supercloud, yeah, here we go. We know what the cloud is but, what does metacloud mean to you guys? And why has it been so popular in these conversations? >> I'm going to boot this to Dave, because he's the expert on this. >> Well, expert or not, but I mean, again, we've coined this term supercloud. And the idea behind the supercloud or what Ashesh called metacloud, I like his name, cause it allows Web 3.0 to come into the equation. But the idea is that instead of building on each individual cloud and have compatibility with that cloud, you build a layer across clouds. So you do the hard work as a platform supplier to hide the underlying primitives and APIs from the end customer, or the end developer, they can then add value on top of that. And that abstraction layer spans on-prem, clouds, across clouds, ultimately out to the edge. And it's new, a new value layer that builds on top of the hyperscale infrastructure, or existing data center infrastructure, or emerging edge infrastructure. And the reason why that is important is because it's so damn complicated, number one. Number two, every company's becoming a software company, a technology company. They're bringing their services through digital transformation to their customers. And you've got to have a cloud to do that. You're not going to build your own data center. That's like Charles Wang says, not Charles Wang. (Paul laughing) Charles Phillips. We were just talking about CA. Charles Phillips. Friends don't let friends build data centers. So that supercloud concept, or what Ashesh calls metacloud, is this new layer that's going to be powered by ecosystems and platform companies. And I think it's real. I think it's- >> And OpenShift, OpenShift is a great, you know, key card for them or leverage for them because it is perhaps the best known Kubernetes platform. And you can see here they're really doubling down on adding features to OpenShift, security features, scalability. And they see it as potentially this metacloud, this supercloud abstraction layer. >> And what we said is, in order to have a supercloud you got to have a superpaz layer and OpenShift is that superpaz layer. >> So you had conversations with a lot of people within the past two days. Some people include companies, from Verizon, Intel, Accenture. Which conversation stood out to you the most? >> Which, I'm sorry. >> Which conversation stood out to you the most? (Paul sighs) >> The conversation with Stu Miniman was pretty interesting because we talked about culture. And really, he has a lot of credibility in that area because he's not a Red Hat. You know, he hasn't been a Red Hat forever, he's fairly new to the company. And got a sense from him that the culture there really is what they say it is. It's a culture of openness and that's, you know, that's as important as technology for a company's success. >> I mean, this was really good content. I mean, there were a lot, I mean Stefanie's awesome. Stefanie Chiras, we're talking about the ecosystem. Chris Wright, you know, digging into some of the CTO stuff. Ashesh, who coined metacloud, I love that. The whole in vehicle operating system conversation was great. The security discussion that we just had. You know, the conversations with Accenture were super thoughtful. Of course, Paul Cormier was a highlight. I think that one's going to be a well viewed interview, for sure. And, you know, I think that the customer conversations are great. Red Hat did a really good job of carrying the keynote conversations, which were abbreviated this year, to theCUBE. >> Right. >> I give 'em a lot of kudos for that. And because, theCUBE, it allows us to double click, go deeper, peel the onion a little bit, you know, all the buzz words, and cliches. But it's true. You get to clarify some of the things you heard, which were, you know, the keynotes were, were scripted, but tight. And so we had some good follow up questions. I thought it was super useful. I know I'm leaving somebody out, but- >> We're also able to interview representatives from Intel and Nvidia, which at a software conference you don't typically do. I mean, there's the assimilation, the combination of hardware and software. It's very clear that, and this came out in the keynote, that Red Hat sees hardware as matter. It matters. It's important again. And it's going to be a source of innovation in the future. That came through clearly. >> Yeah. The hardware matters theme, you know, the old days you would have an operating system and the hardware were intrinsically linked. MVS in the mainframe, VAX, VMS in the digital mini computers. DG had its own operating system. Wang had his own operating system. Prime with Prime OS. You remember these days? >> Oh my God. >> Right? (Paul laughs) And then of course Microsoft. >> And then x86, everything got abstracted. >> Right. >> Everything became x86 and now it's all atomizing again. >> Although WinTel, right? I mean, MS-DOS and Windows were intrinsically linked for many, many years with Intel x86. And it wasn't until, you know, well, and then, you know, Sun Solaris, but it wasn't until Linux kind of blew that apart. And the internet is built on the lamp stack. And of course, Linux is the fundamental foundation for Red Hat. So my point is, that the operating system and the hardware have always been very closely tied together. Whether it's security, or IO, or registries and memory management, everything controlled by the OS are very close to the hardware. And so that's why I think you've got an affinity in Red Hat to hardware. >> But Linux is breaking that bond, don't you think? >> Yes, but it still has to understand the underlying hardware. >> Right. >> You heard today, how taking advantage of Nvidia, and the AI capabilities. You're seeing that with ARM, you're seeing that with Intel. How you can optimize the operating system to take advantage of new generations of CPU, and NPU, and CPU, and PU, XPU, you know, across the board. >> Yep. >> Well, I really enjoyed this conference and it really stressed how important open source is to a lot of different industries. >> Great. Well, thanks for coming on. Paul, thank you. Great co-hosting with you. And thank you. >> Always, Dave. >> For watching theCUBE. We'll be on the road, next week we're at KubeCon in Valencia, Spain. We're at VeeamON. We got a ton of stuff going on. Check out thecube.net. Check out siliconangle.com for all the news. Wikibon.com. We publish there weekly, our breaking analysis series. Thanks for watching everybody. Dave Vellante, for Paul Gillin, and Stephanie Chan. Thanks to the crew. Shout out, Andrew, Alex, Sonya. Amazing job, Sonya. Steven, thanks you guys for coming out here. Mark, good job corresponding. Go to SiliconANGLE, Mark's written some great stuff. And thank you for watching. We'll see you next time. (calm music)

Published Date : May 11 2022

SUMMARY :

We're going to wrap up now, at some of the after parties. And even though, like you I mean, I know you got And I found a lot of those examples indicates that they are, you know, There has been the shift to remote. and extend that into the Clearly the market has come to them And it makes a lot of sense to me. And I think it's smart. And a term that kept but, what does metacloud mean to you guys? because he's the expert on this. And the idea behind the supercloud And you can see here and OpenShift is that superpaz layer. out to you the most? that the culture there really I think that one's going to of the things you heard, And it's going to be a source and the hardware were And then of course Microsoft. And then x86, And it wasn't until, you know, well, the underlying hardware. and PU, XPU, you know, across the board. to a lot of different industries. And thank you. And thank you for watching.

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Stephanie Walter, Maia Sisk, & Daniel Berg, IBM | CUBEconversation


 

(upbeat music) >> Hello everyone and welcome to theCUBE. In this special power panel we're going to dig into and take a peek at the future of cloud. You know a lot has transpired in the last decade. The cloud itself, we've seen a data explosion. The AI winter turned into machine intelligence going mainstream. We've seen the emergence of As-a-Service models. And as we look forward to the next 10 years we see the whole idea of cloud expanding, new definitions occurring. Yes, the world is hybrid but the situation is more nuanced than that. You've got remote locations, smaller data centers, clandestine facilities, oil rigs, autonomous vehicles, windmills, you name it. Technology is connecting our world, data is flowing through the pipes like water, and AI is helping us make sense of the noise. All of this, and more is driving a new digital economy. And with me to talk about these topics are three great guests from IBM. Maia Sisk is the Director of SaaS Offering Management, at IBM Data and AI. And she's within the IBM Cloud and Cognitive Software Group. Stephanie Walter is the Program Director for data and AI Offering Management, same group IBM Cloud and Cognitive Software. And Daniel Berg is a Distinguished Engineer. He's focused on IBM Cloud Kubernetes Service. He's in the Cloud Organization. And he's going to talk today a lot about IBM's cloud Satellite and of course Containers. Wow, two girls, two boys on a panel, we did it. Folks welcome to theCUBE. (chuckles) >> Thank you. >> Thank you. >> Glad to be here. >> So Maia, I want to start with you and have some other folks chime in here. And really want to dig into the problem statement and what you're seeing with customers and you know, what are some of the challenges that you're hearing from customers? >> Yeah, I think a big challenge that we face is, (indistinct) talked about it earlier just data is everywhere. And when we look at opportunities to apply the cloud and apply an As-a-Service model, one of the challenges that we typically face is that the data isn't all nice cleanly package where you can bring it all together, and you know, one AI models on it, run analytics on it, get it in an easy and clean way. It's messy. And what we're finding is that customers are challenged with the problem of having to bring all of the data together on a single cloud in order to leverage it. So we're now looking at IBM and how we flip that paradigm around. And instead of bringing the data to the cloud bring the cloud to the data , in order to help clients manage that challenge and really harness the value of the data, regardless of where you live. >> I love that because data is distributed by its very nature it's silo, Daniel, anything you'd add? >> Yeah, I mean, I would definitely echo that, what Maia was saying, because we're seeing this with a number of customers that they have certain amount of data that while they're strategically looking that moving to the cloud, there's data that for various reasons they can not move itself into the cloud. And in order to reduce latency and get the fastest amount of processing time, they going to move the processing closer to that data. And that's something that we're looking at providing for our customers as well. The other services within IBM Cloud, through our notion of IBM Cloud Satellite. How to help teams and organizations get processing power manage them to service, but closer to where their data may reside. >> And just to play off of that with one other comment. Then the other thing I think we see a lot today is heightened concerned about risks, about data security, about data privacy. And you're trying to figure out how to manage that challenge of especially when you start sending data over the wire, wanting to make sure that it is still safe, it is still secure and it is still resident in the appropriate places. And that kind of need to manage the governance of the data kind of adds an additional layer of complexity. >> Right, if it's not secure, it's a, non-starter, Stephanie let's bring you into the conversation and talk about, you know, some of the waves that you're seeing. Maybe some of the trends, we've certainly seen digital accelerate as a result of the pandemic. It's no longer I'll get to that someday. It's really, it become a mandate you're out of business, if you don't have a digital business. What are some of the markets shifts that you're seeing? >> Well, I mean, really at the end of the day our clients want to infuse AI into their organizations. And so, you know, really the goal is to achieve ambient AI, AI that's just running in the background unchoosibly helping our clients make these really important business decisions. They're also really focused on trust. That's a big issue here. They're really focused on, you know, being able to explain how their AI is making these decisions and also being able to feel confident that they're not introducing harmful biases into their decision-making. So I say that because when you think about, you know digital organization going digital, that's what our customers want to focus on. They don't want to focus on managing IT. They don't want to focus on managing software. They don't want to to have to focus on, you know, patching and upgrading. And so we're seeing more of a move to manage services As-a-Service technologies, where the clients can really focus on their business problems and using The technologies like AI, to help improve their businesses. And not have to worry so much about building them from the ground up. >> So let's stay on that for a minute. And maybe Maia, Daniel, you can comment. So you, Stephanie, you said that customers want to infuse AI and kind of gave some reasons why, but I want to stay on that for a minute. That, what is that really that main outcome that they're looking for? Maybe there are several, they're trying to get to insight. You mentioned that trynna be more efficient it sounds like they're trynna automate governance and compliance, Maia, Daniel can you sort of add anything to this conversation? >> Yeah, well, I would, I would definitely say that, you know at the end of the day, customers are looking to use the data that they have to make smarter decisions. And in order to make smarter decisions it's not enough to just have the insight. The insight has to, you know, meet the business person that needs it, you know in the context, you know, in the application, in the customer interaction. So I think that that's really important. And then everything else becomes like the the superstructure that helps power, that decision and the decision being embedded in the business process. So we at IBM talk a lot about a concept we call the Ladder to AI. And the the short tagline is there is no AI without IA. You know, there is no Artificial Intelligence without Information Architecture. It is so critical, you know, Maia's version this is the garbage in garbage out. You have to have high quality data. You have to have that data be well-organized and well-managed so that you're using it appropriately. And all of that is just, you know then becomes the fuel that powers your AI. But if you have the AI without having that super structure, you know, you're going to end up making, get bad decisions. And ultimately, you know our customers making their customers experience less than it could and should be. And in a digital world, that's, you know, at the end of the day, it's all about digitizing that interaction with whoever the end customer whoever the end consumer is and making that experience the best it can be, because that's what fuels innovation and growth. >> Okay. So we've heard Arvind Krishna talk about, he actually made this statement IBM has to win the architectural battle for cloud. And I'm wondering maybe Daniel you can comment, on what that architectural framework looks like. I mean Maia just talked about the Information Architecture. You can't have AI without that foundation but we know what does Arvind mean by that? How is IBM thinking about that? >> Yeah, I mean, this is where we're really striving to allow our customers really focusing on their business and focusing on the goals that they're trying to achieve without forcing them to worry as much about the IT and the infrastructure and the platform for which they're going to run. Typically, if you're anchored by your data and the data is not able to move into the cloud, generally we would say that you don't have access to cloud services. You must go and install and run and operate your own software to perform the duties or the processing that you require. And that's a huge burden to push onto a customer because they couldn't move their data to your cloud. Now you're pushing a lot of responsibilities back onto them. So what we're really striving for here is, how can we give them that cloud experience where they can process their data? They can run their run book. They can have all of that managed As-a-Service so that they could focus on their business but get that closer to where the data actually resides. And that's what we're really striving for as far as the architecture is concerned. So with IBM Cloud Satellite, we're pushing the core platform and the platform services that we support in IBM Cloud outside of our data centers and into locations where it's closer to your data. And all of that is underpinned by Containerizations, Containers, Kubernetes and OpenShift. Is fundamentally the platform for which we're building upon. >> Okay. So that, so really it's still it's always a data problem, right? Data is you don't want to move it if you don't have to. Right. So it's, so Stephanie, should we think about this as a new emergent data architecture I guess that's what IA is all about. How do you see that evolving? >> Well I mean, I see it evolving as, I mean, first of all our clients, you know, we know that data is the lifeblood of AI. We know the vast majority of our clients are using more than one cloud. And we know that the client's data may be located in different clouds, and that could be due to costs, that could be due to location. So we have to ask the question, how are our clients supposed to deal with this? This is incredibly complex environments they're are incredibly complex reasons sometimes for the data to be where it is. It can include anything from costs to laws, that our clients have to abide by. So what we need to do, is we need to adapt to these different environments and provide clients with the consistent experience and lower complexity to be able to handle data and be able to use AI in these complex environments. And so, you know, we know data, we also know data science talent is scarce. And if each one of these environments have their own tools that need to be used, depending on where the data is located, that's a huge time sink, for these data scientist and our clients don't want to waste their talents time on problems like this. So what we're seeing is, we're seeing more of a acceptance and realization that this is what our clients are dealing with. We have to make it easier. We have to do Innovative things like figure out how to bring the AI to the data, how to bring the AI to where the clients need it and make it much easier and accessible for them to take advantage of. >> And I think there's an additional point to make on this one, which is it's not just easy and accessible but it's also unified. I mean, one of the challenges that customers face in this multicloud environment and many customers are multicloud, you know, not necessarily by intent but just because of how, you know, businesses have adopted as a service. But to then have all of that experience be fragmented and have different tools not just of data, but different pools of, again catalog, different pools of data science it's extremely complex to manage. So I think one of the powerful things that we're doing here, is we're kind of bringing those multiple clouds together, into more of an integrated or a unified, you know window into the client's data in AI state. So not only does the end-user not have to worry about you know, the technologies of dealing with multiple individual clouds, but also, you know it all comes together in one place. So it can be give managed in a more unified way so that assets can be shared across, and it becomes more of a unified approach. The way I like to think of it is, you know, it's true hybrid multicloud, in that it is all connected as opposed to multi-cloud, but it's pools of multiple clouds, one cloud at a time. >> So it can we stay on that for a second because it's, you're saying it's unified but the data stays where it is. The data is distributed by nature. So it's unified logically, but it's decentralized. Is that, am I getting that right? Correct. Okay. Correct. All right. I'm really interested in how you do this. And maybe we can talk about maybe the approach that you take for some of your offerings and maybe get specific on that. So maybe Stephanie, why don't you start, you know, Yes so, what do you have in your basket? Like Cloud Pak So what we have in our basket I mean lets talk about that. >> We have, so Cloud Pak for Data as a Service. This is our premier data and AI platform. It's offered as a service, its fully managed, and there's roughly, there's 30 services integrated services in our services catalog and growing. So we have services to help you through the entire AI life cycle from preparing your data, which is Maia was saying it's very, very, very important. It's critical to any successful AI project. From building your models, from running the models and then monitoring them to make sure that as I was saying before, you can trust them. You don't have to make sure that, you need to make sure that there's not biased. You need to be able to manage these models and then the life cycle them retrain them if needed. So our platform handles all of that. It's hosted on IBM Cloud. And what we're doing now, which is really exciting, is we're going to use, and you mentioned before IBM Cloud Satellite, as a way for us to send our AI to data that perhaps is located on another cloud or another environment. So how this would work is that the services that are integrated with Cloud Pak for Data as a Service they'll be able to use satellite locations to send their AI workloads, to run next to the data. And this means that the data doesn't need to be moved. You don't have to worry about high egress charges. You can see, you can reduce latency and see much stronger performance by running these AI workloads where it counts. We're really excited to to add this capability to our platform. Because, you know, we spent a lot of time talking about earlier all of these challenges that our clients have and this is going to make a big difference in helping them overcome them. Okay. So Daniel, how to Containers fit in? I mean, obviously the Red Hat acquisition was so strategic. We're seeing the real, the ascendancy of OpenShift in particular. Talk about Containers and where it fits into the IBM Cloud Satellite strategy. >> Yeah. So a lot of this builds on top of how we run our cloud business today. Today the vast majority of the services that are available in IBM cloud catalog, actually runs as Containers, runs in a Kubernetes based environment and runs on top of the services that we provide to our customers. So the Container Platform that we provide to our customers is the same one that we're using to run our own cloud services. And those are underpinned with Containers, Kubernetes, and OpenShift. And IBM cloud satellite, based on the way that the designed our Container Platform using Kubernetes and Containers and OpenShift, allows us to take that same design and the same principles and extended outside of our data centers with user provided infrastructure. And this, this goes back to what Stephanie was saying is a satellite location. So using that technology, that same technology and the fact that we've already containerized many of our services and run them on our own platform, we are now distributing our platform outside of IBM Cloud Data Centers using satellite locations and making those available for our cloud service teams, to make their services available in those locations. >> I see and Maia, this, it is as a service. It's a OPEX. Is that right? Absolutely Okay. Absolutely >> Yeah, it's with the two different options on how we can run. One is we can leverage IBM Cloud Satellite and reach into a customer's operating environment. They provide the infrastructure, but we've provide the As-a-Service experience for the Container on up. The other option that we have is for some of our capabilities like our data science capability, where, you know customer might need something a little bit more turnkey because it's, you know, more of a business person or somebody in the CTO's office consuming the As-a-Service. We'll also offer select workloads in an IBM own satellite and environment. I, you know, so that it kind of soup to nuts managed by us. But that is the key is that other than, you know providing the operating environment and then connecting what we do to, you know, their data sources, really the rest is up to us. We're responsible for, you know everything that you would expect in an As-a-Service environment. That things are running, that they're updated, that they're secure, that they're compliant, that's all part of our responsibility. >> Yeah. So a lot of options for customers and it's kind of the way they want to consume. Let's talk about the business impact. You know, you guys, IBM, very consultative selling, you know, tight relationships with customers. What's the business case look like when you go into a client? What's the conversation like? What's possible? What can you share? Stephanie, can you maybe start things off there? Any examples, use-cases, business case, help us understand the metrics. >> Yeah. I mean, so let's talk about a couple of use cases here. So let's say I'm an investment firm, and I'm using data points from all kinds of data sources right? To use AI, to create models to inform my investment decisions. So I'm going to be using, I may be using data sources you know, like regulatory filings, newspaper articles that are pretty standard. I may also be using things like satellite data that monitors parking lots or maybe even weather data, weather forecast data. And all of this data is coming together and being, it needs to be used for models to predict, you know when to buy, sell, trade, however, due to costs, due to just availability of the data they may be located on completely different clouds. You know, and we know that especially capital markets things are fast, fast, fast. So I need to bring my AI to my data, and need to do it quickly so that I can build these models where the data resides, and then be able to make my investment decisions, very fast. And these models get updated often because conditions change, markets change. And this is one way to provide a unified set of AI tools that my data scientists can use. We don't have to be trained on I'm told depending on what cloud the data is stored on. And they can actually build these models much faster and even cheaper. If you would take into egress charges into consideration, you know, moving all the all this data around. Another use case that we're seeing is you know, something like let's say, a multinational telecommunications company that has locations in multiple countries and maybe they want to reduce their customer churn. So they have say customer data that it's stored in different countries and different countries may have different regulations, or the company may have policies that, that data can't be moved out to those country. So what can we do? Again, what we can do is we can send our AI to this data. We can make a customer churn prediction model, that when my customer service representative is on the phone with a customer, and put their information, and see how likely they are to stop using my service and tailor my phone interaction and the offers that I would offer them as this customer service representative to them. If there's a high likelihood that they're going to churn I will probably sweeten the deal. And I can do all that while I'm being fast, right. Because we know that these interactions need to happen quickly. But also while complying with whatever policies or even regulations that are in place for my multinational company. So you know, if you think back to the use cases that I was just talking about you know, latency, performance, reducing costs and also being able to comply with any policy or regulations that our customers might have are really, are really the key pieces of the use cases that we've been seeing. >> Yeah. So Maia there's a theme here. I bring five megabytes of code to a petabyte of data kind of thing. And so Stephanie was talking about speed. There's a an inherent compliance and governance piece. It's it sounds like it's not a bolt on, it's not an afterthought, it's fundamental. So maybe you could add to the conversation, just specifically interested in, you know, what should a client expect? I mean, you're putting data in the hands of you know domain experts in the line of business. There's a self-serve component here, presumably. So there's cross selling is what I heard in some of what Stephanie was just talking about. So it was revenue, there's cost cutting, there's risk reduction, that I'm seeing the business case form. What can you add? >> Yeah, absolutely. I think that the only other thing I would add, is going back to the conversation that we had about, Oh you know, a lot of this is being driven by, you know the digitization of business and you know even moreso this year. You know, at the end of the day there's a lot of costs benefits to leveraging and As-a-Service model, you know, to leveraging that experience in economies of scale from a service provider, as well as, you know leveraging satellite kind of takes that to the next level of, you know, reducing some other costs. But I always go back to, you know at the end of the day, this is about customer experience. It's about revenue creation, and it's about, you know, creating, you know enhanced customer satisfaction and loyalty. So there's a top-line benefits here, you know, of having the best possible AI, you know plugging that into the customer experience, the application where that application resides. So it's not just about where the data resides. You can also put it on the other side and say, you know, we're bringing the AI, we're bringing the machine learning model to the application so that the experiences at excellent the application is responsive there's less latency and that can help clients then leverage AI to create those revenue benefits, you know, of having the the satisfied customer and of having the, you know the right decision at the right time in order to, you know propel them to, to spend and spend more. >> So Daniel bring us home. I mean, there's a lot of engineering going on here. There's the technology, the people in the process if I'm a client, I'm going to say, okay, I'm going to rely on IBM R&D to cut my labor costs, to drive automation, to help me, you know, automate governance and reduce my risks, you know, take care of the technology. You know, I'll focus my efforts on my process, my people but it's a journey. So how do you see that shaping out in the next, you know several years or, or the coming decade, bring us home. >> Yeah. I mean what we're seeing here is that there's a realization that customers have highly skilled individuals. And we're not saying that these highly skilled individuals couldn't run and operate these platforms and the software themselves, they absolutely could. In some cases, maybe they can't but in many cases they could. But we're also talking about these are they're highly skilled individuals that are focusing on platform and platform services and not their business. And the realization here is that companies want their best and brightest focused on their business, not the platform. If they can get that platform from another vendor that they rely on and can provide the necessary compute services, in a timely and available fashion. The other aspect of this is, people have grown to appreciate those cloud services. They like that on demand experience. And they want that in almost every aspect of what they're working on. And the problem is, sometimes you have to have that experience in localities that are remote. They're very difficult. There's no cloud in some of these remote parts of the world. You might think that clouds everywhere, but it's not. It's actually in very specific locations across the world, but there are many remote locations that they want and need these services from the cloud that they can get. Something like IBM Cloud Satellite. That is what we're pursuing here, is being able to bring that cloud experience into these remote locations where you can't get it today. And that's where you can run your AI workloads. You don't have to run it yourself, we will run it and you can put it in those remote locations. And remote locations don't actually have to be like in the middle of a jungle, they could be in your, on your plant floor or within a port that you have across the world, right? It could be in a warehouse. I mean, there's lots of areas where there's data that needs to be processed quickly, and you want to have that cloud experience, that usage pay model for that processing. And that's exactly what we're trying to achieve with IBM Cloud Satellite and what we're trying to achieve with the IBM Cloud Pak for Data as a Service as well. Running on satellite is to give you those cloud experiences. Those services managed as a service in those remote locations that you absolutely need them and want them. >> Well, you guys are making a lot of progress in the next decade is not going to look like the last decade. I can pretty confident in that prediction. Guys thanks so much for coming on the cube and sharing your insights, really great conversation. >> Absolutely. Thank you, Dave. >> Thank you. >> You're welcome, and thank you for watching everybody. This is Dave Vellante from the cube. We'll see you next time. (upbeat music)

Published Date : Dec 2 2020

SUMMARY :

And he's going to talk today a and you know, what are the data to the cloud that moving to the cloud, And that kind of need to manage and talk about, you know, to focus on, you know, And maybe Maia, Daniel, you can comment. And in a digital world, that's, you know, has to win the architectural but get that closer to where Data is you don't want to and that could be due to costs, just because of how, you know, the approach that you take is that the services and the fact that we've Is that right? But that is the key is that other than, and it's kind of the way and being, it needs to be that I'm seeing the business case form. kind of takes that to the to help me, you know, automate governance and can provide the in the next decade is not going This is Dave Vellante from the cube.

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Nayaki Nayyar, Ivanti and Stephanie Hallford, Intel | CUBE Conversation, July 2020


 

(calm music) >> Announcer: From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Welcome to this CUBE Conversation. I'm Lisa Martin, and today, I'm talking to Ivanti again and Intel, some breaking news. So please welcome two guests, the EVP and Chief Product Officer of Ivanti, Nayaki Nayyar. She's back, and we've also got the VP and GM of Business Client Salute Platforms for Intel, Stephanie Hallford. Nayaki and Stephanie, it's great to have you on the program. >> It's great to be back here with you Lisa, and Stephanie glad to have you here with us, thank you. >> Thank you, we're excited >> Yeah, you guys are going to break some news for us, so let's go ahead and start. Nayaki, hot off the presses is Ivanti's announcement of its new hyper-automation platform, Ivanti Neurons, helping organizations now in this new next normal of so much remote work. Now, just on the heels of that, you're announcing a new strategic partnership with Intel. Tell me about that. >> So Lisa, like we announced, our Ivanti Neurons platform that is helping our customers and all the IT organizations around the world to deal with this explosive growth of remote workers, the devices that would work is used, the data that it's getting from those devices, and also the security challenges, and Neurons really help address what we call discover all the devices, manage those devices, self-heal those devices, self-secure the devices, and with this partnership with Intel, we are extremely excited about the potential our customers and the benefits that customers can get. Intel is offering what they call Device as a Service, which includes both the hardware and software, and with this partnership, we are announcing the integration between Intel's vPro platform and Ivanti's Neurons platform, which is what we are so excited about. Our joint customers, joint enterprises that are using both the products can now benefit from this out of the box integration to take advantage of this Device as a Service combined offer. >> So Stephanie, talk to us from Intel's perspective. This is an integration of Intel's Endpoint Management Assistant with Ivanti Neurons. How does this drive up the value for the EMA solution for your customers who are already using it? >> Right, well, so vPro is just to step everyone back, vPro is the number one enterprise platform trusted now for over 14 years. We are in a vast majority of enterprises around the world, and that's because vPro is essentially our best performing CPUs, our highest level of security, our highest level manageability, which is our EMA or "Emma" manageability solution, which Ivanti is integrating, and also stability, so that is the promise to IT managers for a stable, the Intel Stable Image platform, and what that allows is IT managers to know that we will keep as much stability and fast forward and push through any fixes as quickly as possible on those vPro devices because we understand that IT networks usually QUAL, you know, not all at one time, but it's sequential. So vPro is our number one enterprise built for business, validated, enabled, and we're super excited today because we're taking that remote manageability solution that comes with vPro, and we are marrying it with Ivanti's top class in point management solution, and Ivanti is a world leader in managing and protecting endpoints, and today more than ever, because IT's remote and Intel. For instance, our IT over one weekend had to figure out how to support a hundred thousand remote workers, so the ability for Ivanti to now have our remote manageability in band, out of band, on-prem, in the cloud, it really rounds out. Ivanti's already fantastic world-class solution, so it's a fantastic start to what I foresee is going to be a great partnership. >> And probably a big target install base. Now, can you talk to me a little bit about COVID as a catalyst for this partnership? So many companies, the stuff they talked about a great example of Intel pivoting over a weekend for a hundred thousand people. We're hearing so many different numbers of an explosion of devices, but also experts and even C-suite from tech companies projecting maybe 30 to 40% of the workforce only will go back, so talk to me about COVID as really driving the necessity for organizations to benefit from this type of technology. >> Yeah, so Lisa, like Stephanie said, right, as Intel had to take hundred thousand employees remote over a weekend, that is true for pretty much every company, every organization, every enterprise independent of industry vertical that they had to take all their workforce and move them to be primarily remote workers, and the stats of BFC is what used to be, I would say, three to four percent before COVID of remote working. Post-COVID or during COVID, as we say, it's going to be around 30, 40, 50%, and this is a conversation and a challenge. Every IT organization, every C-level exec, and, in most cases, I'm also seeing this become a board conversation that they're trying to figure out not just how to support remote workers for a short time, but for a longer time as this becomes the new normal or the next normal, whatever you call that, Lisa, and really helping employees through this transition and providing what we call a seamless experience as we employees are working from home or on the move or location agnostic, being able to provide a experience, a service experience that understands what employee's preferences are, what their needs are, and providing that consumer with experiences, what this joint offering between Intel and Ivanti really brings together for our joint customers. >> So you talked about this being elevated to the board level conversation, you know, and this is something that we're hearing a lot of that suddenly there's so much more visibility and focus on certain parts of businesses, and survival is, so many businesses are at risk. Stephanie, I'd like to get your perspective on how this joint solution with Intel and Ivanti, do you see this as an opportunity to give your customers not just a competitive advantage, but for maybe some of those businesses who might be in jeopardy like a survival strategy? >> Absolutely, I mean, the, you know, while we both Ivanti and Intel have our own IT challenges and we support our workers directly, we are broadly experienced in supporting many many companies that frankly, perhaps, weren't planning for these types of instances, remote manageability overnight, security and cyber threats getting more and more sophisticated, but, you know, tech companies like Ivanti, like Intel, we have been thinking about this and experiencing and planning for these things and bringing them out in our products for some time, and so I think it is a great opportunity when we come together and we bring that, you know, IP expertise and IT expertise, both IP technical and that IT insight, and we bring it to customers who are of all industries, whether it be healthcare or financial or medium businesses who are increasingly being managed by service providers who can utilize this type of device as a service and endpoint manageability. Most companies and certainly all IT managers will tell you they're overwhelmed. They are traditionally squeezed on budget, and they have the massive requirement to take their companies entirely cloud and cloud oriented or maybe a hybrid of cloud and on-prem, and they really would prefer to leave network security and network management to experts, and that's where we can come in with our platform, with our intelligence, we work hard to continue to build that product roadmap to stay ahead of cyber threats. Our vPro platform, for instance, has what we call Intel Hardware Shield to set up technologies that actually protects against cyber attack, even under the OS, so if the OS is down or there's a cyber attack around the OS, we actually can lock down the BIOS and the Firmware and alert the OS and have that communication, which allows the system to protect those areas that need to be protected or lock down or encrypt those areas, so this is the type of thing we bring to the party, and than Ivanti has that absolute in Point Management credibility that there's just, I think, ease, So if IT managers are worried about moving to the cloud and getting workers remote and, you know, managing cyber threats, they really would prefer to leave this management and security of their network to experts like Ivanti, and so we're thrilled to kind of combine that expertise and give IT managers a little bit of peace of mind. >> I think it's even more than giving IT managers a peace of mind, but so talk to me, Nayaki, about how these technologies work together. So for example, when we talked about the Neurons and the hyper-automation platform that you just announced, you were talking about the discovery, the self-healing, self-securing of all these devices within an organization that they may not even know they have EDGE devices on-prem cloud. Talk to me about how these two technologies work together. Is it discovering all these devices first, self-security, self-healing? How does then EMA come into play? >> So let me give an analogy in our consumer world, Lisa. We all are used to or getting used to cars where they automatically heal themselves. I have a car sitting in my garage that I haven't taken to a workshop for last four years since I bought it, so it's almost a similar experience that combined offering things to our customers where all these endpoints, like Stephanie said, we are, I would say, one of the leading providers in the endpoint management where we support today. Ivanti supports over 40 million endpoints for our customers, and combining that with a strong vPro platform from Intel, that combined offering, which is what we call Device as a Service, so that the IT departments or the enterprises don't have to really worry about how we are discovering all of those devices, managing those devices. Self-healing, like if there's any performance issues, configuration drift issues, if there are any security vulnerabilities, anomalies on those devices, it automatically heals them. I mean, that is the beauty of it where IT doesn't have to worry about trying to do it reactively. These neurons detect and self-heal those devices automatically in the background, and almost augmenting IT with what I call these automation bots that are constantly running in the background on these devices and self-healing and self-securing those devices. So that's a benefit every organization, every company, every enterprise, every IT department gets from this joint offering, and if I were on their side, on the other side, I can really sleep at night knowing those devices are now not just being managed, but are secure because now we are able to auto-heal or auto-secure those devices in the background continuously. >> Let's talk about speed cause that's one of the things, speed and scale, we talk about with every different technology, but right now there's so much uncertainty across the globe, so for joint customers, Stephanie talked about the, you know, the large install base of customers on the vPro platform, how quickly would they be able to leverage this joint solution to really get those endpoints under management and start dialing down some of the risks like device sprawl and security threats? >> So the joint offering is available today and being released the integration between both the platforms with this announcement, so companies that have both of our platforms and solutions can start implementing it and really getting the benefit out of it. They don't have to wait for another three months or six months. Right after this release, they should be able to integrate the two platforms, discover everything that they have across their entire network, manage those, secure those devices and use these neurons to automatically heal and service those endpoints. >> So this is something that could get up and running pretty quickly? >> It's an AutoBox connection and integration that we worked very closely, Stephanie's team and my team had been working for months now, and, yeah, this is an exciting announcement not just from the product perspective, but also the benefit it gives our customers, the speed, the accuracy, and the service experience that they can provide to their end user, employees, customers, and consumers, I think, that's super beneficial for everyone. >> Absolutely, and then that 360 degree view. Stephanie, we'll wrap it up with you. Talk to us about how this new strategic partnership is a facilitator or an accelerant of Intel's device as a service vision. >> Well, you know, first off, I wanted to commend Nayaki's team because our engineers were so impressed. They, you know, felt like they were working with the PhD advanced version of so many other engineering partners they'd ever come across, so I think we have a very strong engineering culture between our two companies and the speed at which we were able to integrate our solutions, and at the same time start thinking about what we may be able to do in the future, should we put our heads together and start doing a joint product roadmap on opportunities in the future, network connectivity, wifi connectivity, all sorts of ideas, so huge congratulations to the engineering teams because the speed at which we were able to integrate and get a product offering out was impressive, but, you know, secondarily, on to your question on device as a service, this is going to be by far where the future moves. We know that companies will tend to continue to look for ways to have sustainability in their environments, and so when you have Device as a Service, you're able to do things like into end supporting that device from its start into a network to when you end of life a device and how you end of life that device has severe, some sustainability and costs, you know, complexities, and if we're able to manage that device from end to end and provide servicing to alert IT managers and self-heal before problems happen, that helps obviously not only with business models and, you know, protecting data, but it also helps in keeping systems running and being alert to when systems begin to degrade or if there are issues or if it's time to refresh because the hardware is not new enough to take advantage of the new software capabilities, then you're able to end of life that device in a sustainable way, in a safe way, and, even to some degree, provide some opportunity for remediation of data and, you know, remote erase and continue to provide that security all the way into the end, so when we look at device as a service, it's more than just one aspect. It's really taking a device and being responsible for the security, the manageability, the self-healing from beginning to end, and I know that all IT managers need that, appreciate that, and frankly don't have the time or skillsets to be able to provide that in their own house. So I think there's the beginnings today, and I think we have a huge upside to what we can do in the future. I look at Intel's strengths in enterprise and how long we have been, you know, operating in enterprises around the world. Ivanti's, you know, in the vast majority of Fortune 100s, and when you've got kind of engineering powerhouses that are coming together and brainstorming it's, I think, it's a great partnership for relief for customer pain points in the future, which unfortunately there's going to be more probably. >> And this is just the beginning. >> I think that's one thing we can guarantee. It's what, sorry? >> Yeah, and it's just the beginning. This partnership is just the beginning. You will see lot more happening between both the companies as we define the roadmap into the future, so we are super excited about all the work, the joint teams, and, Stephanie, I want to take this opportunity to thank you, your leadership, and your entire organization for helping us with this partnership. >> We're excited by it, we are, we know it's just the beginning of great things to come. >> Well, just the beginning means we have to have more conversations. The cultural fit really sounds like it's really there, and there's tight alignment with Ivanti and Intel. Ladies, thank you so much for joining me. Nayaki, great to have you back on the program. >> Thank you, thank you, Lisa. Thank you for hosting us, and, Stephanie, it's always a pleasure talking to you, thank you. >> Likewise, looking forward to the launch and all the customer reactions. >> Absolutely. >> Yes, all right, thanks Nayaki, thanks Stephanie. For my guests, I'm Lisa Martin. You're watching this CUBE Conversation. (calm music)

Published Date : Jul 23 2020

SUMMARY :

leaders all around the world, to have you on the program. and Stephanie glad to have Now, just on the heels of that, and all the IT organizations So Stephanie, talk to us so that is the promise to so talk to me about COVID as really and the stats of BFC is what to the board level conversation, you know, and the Firmware and alert the OS and the hyper-automation so that the IT departments and being released the integration and the service experience Absolutely, and then and how long we have been, you know, thing we can guarantee. Yeah, and it's just the beginning. of great things to come. Well, just the beginning means we have a pleasure talking to you, and all the customer reactions. Yes, all right, thanks

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Stephanie Louis, Pegasystems | PegaWorld iNspire


 

(upbeat music) >> Producer: From around the globe, it's the CUBE with digital coverage of PegaWorld Inspire. Brought to you by Pegasystems. >> Hello, everybody. This is Dave Volante. Welcome back to our coverage of PegaWorld Inspire 2020. This is the preview show, and you're watching the CUBE. Stephanie lewis is here. She's the Senior Director of Community and developer relations or a programs actually at at Pega. Stephanie, good to see you. >> Thank you so much for having me Dave. I'm very happy to be here today. >> Yeah, so you know, let's get into it. I infer from your role that obviously all about community, which is critical developers are all about community, but talk a little bit more about kind of how you spend your time. >> Sure. So I am really excited about my role. I've been here for a year and a half, and I transitioned from the product world. So I really understand what developers need and how they use the product, and if we had just but developers don't know how to use them that it's kind of pointless. So I am truly passionate about ensuring that every individual understands how to use the product, and feels inspired to use the product and then also gives back to the community and builds a better ecosystem helping everyone around them to build better software. >> So product knowledge obviously crucial in this role. But developers they want access to the tools that they want to be productive. So tell us more about what you're finding that developers need. >> Let's say just in time, type of situation. So I'm going to plug my own agenda here as well, in addition to PegaWorld, but we're launching a brand new >> Great. >> Pega menu, which is where our developers get enabled and we are supporting them just in time. So we have the curated learning paths because picking your journey and your career path is critical, like where do you want to go? What credentials do you want to have? What job do you want to have? That's absolutely important. But when you're on the job, and you have a question, how do I do this? Or when do I use this? That's absolutely just as important, and I want to ensure that everybody can easily do that when they need it. >> So PegaWorld big show we had Alan on recently, we're talking about I mean, I just thought I said to him, you're going to miss that during your keynote, because he's such a great speaker, but you're also involved in the keynote. You're going to be interviewing Kerim, who's the head of products, and you guys going to be digging into that, obviously with your product background, but set that up for us, what should we expect? >> Sure. So there's a couple of different sessions that I want to highlight. One is Kerim is one of the biggest highlights in addition to Alan with the keynotes at the in person PegaWorld and we're going to continue that in the virtual aspect. So he's going to have his own standalone keynote, highlighting the product capabilities that people need to be aware of as they're enhancing their own digital transformation, and right now we're in a disrupted world. So he's going to talk about how our three key things of our products can really help companies not only adjust to the current environment if future proof. So he'll talk about those themes. He'll bring a customer on stage to talk about how they have used those, and then I'll also give a demo of the latest capabilities. That's just the beginning, and then at the end, I will be able to come on and put him on the hot seat. So ask him about the product roadmaps. I'm going to take questions from the community to be like, hey, Kerim, the community's asking about this, what do you think? And then we'll take questions live, that he'll have to answer at live during that session as well. >> And of course, you know, the thing about PegaWorld is it's got a lot of customer content in there. So I assume you're going to have some customers, some clients interacting as well. >> That's true. Yeah. So not only in the keynotes, when we bring customers on to talk about their stories and put the, you know, theoretical products capabilities to life with how they've used those. But then we also have, we've taken the tech pavilion, which is kind of where you go around and you see the different product capabilities. So we will have customers that are part of that as well as part of what are the breakouts where they will be telling their story, and talk about taking digital transformation and turn their business around. >> Love it. Product talk, architecture, roadmap, you know, showing off a little bit of the future. That's fantastic. So talk to me, like I'm a developer. Why should I go to this event? What's in it for me? >> So I think it's always important to understand the trends, right? As a developer, if you just take what someone tells you is a requirement, and you just go code that, then you're not a true engineer, or an innovator, right? It's not, it's in the problems that you're solving. So I think that is something to take to heart and that is something that you'll truly receive by coming to PegaWorld and hearing the end to end story. In addition to that, this tech pavilion that we've turned into the Innovation Hub is more than just looking at recorded demos, you'll be able to participate with product experts live coding and ask them questions. So you'll see them build an application, or build a chat bot or utilize a feature and ask them questions. To witch style, you are asked to participate, and then take that back to your job the next day, and utilize those new capabilities and the innovation that we're able to show you with this new virtual event. >> So Stephen, I got to ask you, you mentioned requirements, Docs, and a lot has changed there, right? I mean, it used to be, you'd have these big tomes and you'd hand down, you know, the edict from the business, talk about how that whole dynamic has changed. >> It has changed quite a bit with the Pega platform and the technology that we have across our products, because it's not just a like you said, it's the edict that you hand down and the developers just implement don't ask the why, and then don't get the opportunity to think about how to better that. So all of this is done now within the technology itself. So nothing is lost, and as you start to iterate on, why are you doing this? How is this good for the customer? What performance improvements? Or what are you trying to automate? And better all those questions are answered and then can be put right in there and allows developers to put their own innovation into the why, and the how, and the what, which I feel like will end up as a better result for the end customer and their end to end experience. >> So maybe this is a sign of progress, would be something to be optimistic about. Because six weeks ago, we did we started with COVID. That's all we talked about. Now we're going to end with COVID. I wanted to ask you about the whole work from home and remote workers. You know, developers are collaborative. They do a lot of whiteboarding. So how have you seen developers sort of responding to this pandemic and what kind of things are they doing to actually maintain that productivity and that collaborative spirit? >> So I've seen a couple of things there. One is utilizing some of the frameworks that we've put out for like the starter of some of the COVID tracking apps, we've put some of those out on our marketplace. So businesses, we've had several businesses use those and go live really quickly to just help respond to the pandemic, and operate and track the safety of their employees, and developers then have taken that in addition to what they need to do to progress their career. So they've used that then they've used our academy to continue their enablement as well as the collaboration. So we've got a great forum, a very active forum, where people are able to post questions and answer them and stay connected in this virtual environment. We've increased webinars, we just launched a virtual hackathon that's focused around doing good. So it's not just about hackathon to prove your skills and win the prizes, but we remind all the folks on how in the world respond to the situation. So we're trying to intertwine all of it because I think I truly believe that every person not only wants to progress their own career, but also give back and do good, and if you combine those two together, that's how you achieve the optimal results. >> Stephanie how about new developers coming into the Pega? you community platform? What's that experience like? Can you update us on that? >> Yeah, I'm glad you asked. Because we just launched some very new like I'm new to Pega, what do I need to do? So we've got the curated courses, which we're going to call missions around those, but we also have a trial. So if you just want to figure out and get your feet where you're not quite sure what this Pega thing is, sign up for the trial, and then we have guided tours. So it shows you what the different capabilities are and really guide you through that experience, and then if you are experienced, you can skip those tours and like, No, I know and I don't. I just want to dive in. But for those new people, we have those curated tours. So you're able to orient yourself and be more comfortable before you start to play around. >> But how functional is that? I mean, is it a lot of the trials are neutered, or you know, can I get the full picture? How does that work? >> Absolutely. I think that's a really good point is that we don't handicap anyone. Like there's no limited functionality. If you want the trial, you want to figure out app studio and have that guided experience, you can do that. If you want to unlock all of it, just go wild and play with all of it. You can do it as limited 30 days. You want to renew it, go ahead. But we don't restrict any of that because we want you to get access to the capability so that you can do your job better and that you learn the true power of the technology. >> Well, we're excited for PegaWorld 2020 it's on June 2 starts at 9 am East Coast time. So just google it and go sign up. This automation economy, it's going to kick in, in a big way already has actually but it's going to accelerate in this post COVID era. Stephanie thanks so much for coming to the CUBE and give us a preview of PegaWorld Inspire 2020. >> Thank you, and I hope to see you there. >> All right, you will, and thanks for watching everybody, and we'll see you at PegaWorld Inspire 2020. This is Dave Volante for the CUBE. We'll see you next time. (upbeat music)

Published Date : May 18 2020

SUMMARY :

Brought to you by Pegasystems. and you're watching the CUBE. Thank you so much for having me Dave. kind of how you spend your time. and then also gives back to the community that they want to be productive. So I'm going to plug my and you have a question, how do I do this? and you guys going to So he's going to talk about And of course, you know, and put the, you know, theoretical So talk to me, like I'm a developer. and you just go code that, So Stephen, I got to ask you, and as you start to iterate on, So how have you seen developers and go live really quickly to just help and then if you are experienced, and that you learn the true but it's going to accelerate and we'll see you at

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2 Oracle Consulting Transformation – Stephanie Trunzo, GVP, Transformation & Offerings, NA Consulti


 

>>from the Cube Studios in Palo Alto and Boston. It's the Cube covering empowering the autonomous enterprise brought to you by Oracle Consulting. >>Hello, everyone. And welcome to this Cube special presentation where we're covering the rebirth of Oracle Consulting. So this is a digital event where we're going around and identifying subject matter experts in different locations. We're currently here in Chicago, and I'm here with Stephanie Trunzo, who's the head of transformation and offerings at Oracle Consultants. Definitely. Great to see you >>again. Yeah. So Oracle Consulting. You know, you guys have been quiet lately. Yeah, >>well, we were quiet because I wasn't >>here yet. Yeah, exactly. >>Here to make some noise. So I love the way you said rebirth. I think it's really accurate. Oracle Consulting has been around for quite some time, but as you said, maybe not high on the radar and one of the things that we're learning And one of the reasons I'm here in this transformation role is to help us transform ourselves to better match the transformation that our clients are going >>through. So was there an >>internal transformation? Or is there an internal transformation taking place as well? And then you're sort of pointed to the marketplace. Maybe you could describe that. >>Absolutely. So we're undergoing our own transformation at the same time that we're helping our clients undergo their transformation. And so, for us what that looks like, it is things like a traditional services organization, which is kind of what Oracle Consulting had been in the past, was looking at the expertise that was necessary to drive clients business forward. But delivering it in what I would call a pretty traditional way, time of materials based kinds of contracting, determining the skills that were necessary, and and conversing with clients and feature function kinds of discussions. And our transformation is now about rebuilding the organization around offerings. And those offerings are things that we're doing to match the way that our clients are consuming. Let's say cloud technology. So if you might purchase of natural language processing service from a cloud platform, we want to also make sure that we're matching the humans to those technology services and enabling our clients to buy from us in a very similar way. >>We're also bringing in some new blood. Obviously, Oracle large organization, A lot of DNA there, but yourself you came from IBM, you got people coming in from AWS. You've got folks from Accenture and all over the place. So describe that and how that's affecting the culture of Oracle consulting. >>There's an influx of talent that is necessary to change the way that you think. And I believe that one of the reasons I myself came to join Oracle Consulting was I was excited about this new adventure. So when you're working in a certain style in a certain way, in a certain team for some amount of time, can maybe forget to get introspective and forget to look at what's right in front of you and the changes you need to make, so bringing in new talent from outside is as much a part of our transformation as the way that we're shaping our offerings is bringing in those new ideas, bringing in people who have you've been there, done it in other experiences so that they can infuse our thinking with some of what's going on >>in the market around us. How >>would you summarize the mission of Oracle Consulting? >>The mission of Oracle Consulting is extremely simple. It's dead simple. It's help our clients succeed on Oracle >>Cloud Technology, period >>because Oracle's, known as a product company, is still suffer products that generate most of your revenue. So and you've got your cloud, you've got things like Cloud a customer and exit data that's really driving you get. The Oracle database is certainly a huge application portfolio. How is Oracle consulting? Aligning with the products >>as a product company? Our goal is still to help our clients achieve miracles, right? And so Consulting is looking at our Oracle products that to make sure that we're always the deepest and the busted understanding so we can help leverage that technology to its fullest capacity for our clients, it's not just good enough to buy a tool. You have to know how to use it, right? And so our objective is to align with Oracle products. Make sure we know what's going to be hot off the press that we're driving from our client Experience is back into the product sets as well. So we're informing our product development of what's really happening out in the world with our clients implementations. >>My last question is, how you gonna define success when you look back, you know a couple years from now, what will success look like? >>Success to me will look like being the go to for any solution. That is an Oracle driven answer to our clients that Oracle Consulting is driving consumption in a way that is extremely valuable to the client because in the end, cloud consumption technology consumption in and of itself is not very interesting. It's when we're telling stories that our client stories on stage is because we've helped them achieve new business outcomes, things that >>weren't possible before. It's great to have >>you. Thank you so much for coming on, and it's good to have you at the helm. Bring credibility to Oracle Consulting and we'll be watching So >>awesome. Thank you. >>Thank you for watching. We'll be right back with our next guest.

Published Date : May 8 2020

SUMMARY :

empowering the autonomous enterprise brought to you by Oracle Consulting. Great to see you You know, you guys have been quiet lately. here yet. So I love the way you said rebirth. So was there an Maybe you could describe that. So if you might purchase of natural language processing So describe that and how that's affecting the culture of Oracle consulting. There's an influx of talent that is necessary to change the way that you think. in the market around us. It's help our and exit data that's really driving you get. And so our objective is to align with Oracle That is an Oracle driven answer to our clients that Oracle Consulting is It's great to have Thank you so much for coming on, and it's good to have you at the helm. Thank you. Thank you for watching.

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Stephanie Trunzo, Oracle | Empowering the Autonomous Enterprise


 

from the cube studios in Palo Alto in Boston it's the cube covering empowering the autonomous enterprise brought to you by Oracle consulting hello everyone and welcome to this cube special presentation where we're covering the rebirth of Oracle consulting so this is a digital event where we're going around and identifying subject matter experts in different locations we're currently here in Chicago and I'm here with Stephanie trunzo who's the head of transformation and offerings at Oracle consulting is definitely great to see you again yeah you too so Oracle consulting you know you guys have been quiet lately where you been yeah well we were quiet because I wasn't here yet yeah make a noise yeah exactly here to make some noise so I love the way you said rebirth I think it's really accurate work while consulting has been around for quite some time but as you said maybe not high on the radar and one of the things that we're learning and one of the reasons I'm here in this transformation role is to help us transform ourselves to better match the transformation that our clients are going through so was there an internal transformation or is there an internal transformation taking place as well and then just sort of pointed to the marketplace maybe you could describe that absolutely yeah so we are undergoing our own transformation at the same time that we're helping our clients undergo their transformation and so for us what that looks like it is things like a traditional services organization which is kind of what Oracle consulting had been in the past was looking at the expertise that was necessary to drive clients business forward but delivering it in what I would call a pretty traditional way time and materials based kinds of contracting determining the skills that were necessary and and conversing with clients and feature function kinds of discussions and our transformation is now about rebuilding the organization around offerings and those offerings are things that we're doing to match the way that our clients are consuming let's say cloud technology so if you might purchase natural language processing service from a cloud platform we want to also make sure that we're matching the humans to those technology services and enabling our clients to buy from us very similar way you're also bringing in some some new blood I mean obviously Oracle a large organization a lot of DNA there but yourself you came from IBM you got people coming in from AWS you got folks from Accenture and all over the place so describe that and how that's affecting the culture of Oracle consulting there's an influx of talent that is necessary to change the way that you think and I believe that one of the reasons I myself came to join Oracle consulting was I was excited about this new adventure so when you're working in a certain style in a certain way in a certain team for some amount of time you can maybe forget to get introspective and forget to look at what's right in front of you and the changes you need to make so bringing in new talent from outside is as much a part of our transformation as the way that we're shaping our offerings is bringing in those new ideas bringing in people who have you know been there done it in other experiences so that they can infuse our thinking with some of what's going on in the market around us how would you summarize the mission of Oracle consulting the mission of Oracle consulting is extremely simple it's dead simple it's helped our clients succeed on Oracle cloud technology period of course Oracle's known as a product company is sell software products that's how you generate most of your revenue so and you've got your cloud you've got you know things like cloud a customer and you know Exadata that's really driving you got the Oracle database certainly a huge application portfolio how is Oracle consulting aligning with the products as a product company our goal is still to help our clients achieve their goals right and so consulting is looking at our Oracle products that to make sure that we are always the deepest and the best at understanding so we can help leverage that technology to its fullest capacity for our clients it's not just good enough to buy a tool you have to know how to use it right and so our objective is to align with Oracle products make sure we know what's going to be hot off the press that we're driving from our client experiences back into the product sets as well so we're informing our product development of what's really happening out with our clients implementations my last question Stephanie is how are you gonna define success when you look back you know a couple years from now what will success look like success to me will look like being the go-to for any solution that is an Oracle driven answer to our clients that Oracle consulting is driving consumption in a way that is extremely valuable to the client because in the end cloud consumption technology consumption by in and of itself is not very interesting it's when we're telling stories that are our client stories on stages because we've helped them achieve new business outcomes things that weren't possible for them before well it's great to have you thank you so much for coming on and it's good to have you at the helm sort of bring credibility to Oracle consulting and we'll be watching so thank you awesome thank you all right thank you for watching we'll be right back with our next guest [Music] you [Music]

Published Date : Apr 28 2020

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Stephanie Trunzo, Oracle | Empowering the Autonomous Enterprise of the Future


 

>>  Welcome back to theCUBE everybody. This is a special digital presentation sponsored by Oracle Consulting. We go out to the events, we extract the signal from the noise and we're going to multiple locations to really try to understand better the rebirth of Oracle Consulting. Stephanie Trunzo is here. She is the head of transformation and offerings at Oracle consulting North America. Stephanie, good to see you. >> Yeah, good to see you. >> Okay so we talked about sort of the mission of Oracle Consulting, now let's get into it and talk about some of what the customers are seeing. There's this theme in the industry that Gartner brought up about Bimodal IT and you guys are talking about Trimodal IT, so what is that all about? >> Well, two wasn't good enough so we had to add a third. (laughs) So Bimodal IT, two speed IT, the idea there is a lot of modern enterprises are struggling with this challenge between the systems of record that they have that have to be sources of truth. They're often slow to change. There's a lot of rigger around transforming those systems of record. And then on the second side, on the Bimodal side, there are the systems of interaction or systems of engagement, they're sometimes called. And those systems are things like the applications where there's users, customers at the other end. And they need to move at the speed of business. And so the idea of Bimodal IT and what a lot of our clients are struggling with currently is how do you serve both of those needs at the same time? There's complications in the processes, the tools, and certainly in the budget. And at the same time, there's kind of looming out there, this threat almost, that if you aren't in the AI NML data driven world yet, you're going to fall behind. And so our clients are struggling with the fact that they have not yet successfully addressed Bimodal IT, but still have to figure out how to get into this AI space. So our third system, hence Trimodal IT is the systems of intelligence. And that's what we've added. >> So, to make sure I've got the Bimodal right, >> Yeah sure. >> Is that, You've got people who are handling the systems of record you said. And so they have knowledge, they've got tribal knowledge, deep expertise, which may not be widespread. Kids coming out of school don't necessarily have that same expertise. And then there's sort of the systems of engagement kind of the new fun stuff. Did customers in your sense, buy into that? Or did they try to sort of cross-pollinate, as practitioners? >> Yeah they do buy into it. But they're really still struggling with the idea of Bimodal IT without even getting into the third system yet. So they are buying into it. The challenge, it's not even really about buying into it. It's addressing the challenge, because they have to overcome this legacy stuff, that they have in their system in order to address the speed of business. >> So the third piece, obviously relates to machine intelligence, AI, NML. It seems like that type of capability would apply to both systems of record and systems of engagement. Is that how you're looking at it? >> Yes, and so the Trimodal IT concept is kind of three different systems and how they interlock and relate to one another. If you think about systems of record, the currency, so to speak, for system of record are processes. If you think about the currency for systems of interaction it's the people, it's the users, it's the humans. And the currency for the system of intelligence is data, to your point. So when you're talking about systems of intelligence, collecting and leveraging data from all three systems is going to be what fuels your system of intelligence going forward. >> And that's the common thread between all three. And it just seems to me, that is ultimately the underpinning of modernization. I wonder what your customers, how do they view, and how do you view modernization? >> So the awesome thing about being at Oracle is data is our DNA. That's where Oracle started from, that's where we still are today is data underpins everything we do, all of the technology that we build is built on the understanding that it must be data-driven. And so when we're looking at all three of those systems and you're looking at it from an Oracle perspective, data is at the heart of even systems of record. Even systems of interaction, not only the systems of intelligence. When our clients are looking at modernization, they are trying to figure out a way to kind of leapfrog this story and get the whole way to a place where they are getting intelligence and insights out of their data. They're not just unlocking it. They're not just moving workloads in a lift and shift kind of model. They're doing it, because they want to serve the ultimate outcome that they get smarter as a business. >> So data is kind of like raw material, the AI or machine intelligence allows you to take data and create insights, if you will. And then cloud gives you scale and agility and all of those things. So Cloud's again another fundamental piece of, just from an infrastructure standpoint, and I think you guys define Cloud as sort of an experience, not a place. So it includes the on prime workloads, of course. So, talk about Cloud. Customers want to go from where they are today, to some outcome, some end point. And they don't want to spend a zillion dollars. And they don't want to disrupt their business. They are going to have to make investments, clearly. How do they get from point A to point B on that Cloud journey? >> So we've built something called a Cloud evolution framework. That Cloud evolution framework has several different phases and stages. And it's intended to be a skeleton to have that conversation with clients. Are you thinking about all of the things that you need to consider to make a healthy decision that has a real road map behind it. To your point on budget, and this is part of the Trimodal IT conversation is. They're struggling, I've talked to so many CIOs who are struggling to figure out. I right now am spending, 90% of my spend is on maintenance of systems versus on innovation. So how do I shift that spending story to something that is actually going to move the needle on getting the business ahead. That's going to serve my stakeholders, who are the lines of business, in a way that is not additive to my budget. But actually a shift of the budget. So we're looking at it from a Cloud perspective, helping our clients make that monetary shift. Make the shift of the budget where they're self-financing their own innovation by getting smarter and faster on moving their workloads to the Cloud. >> That's interesting, I want to come back to that self-financing. It reminds me of Y2K where you had all these activities going on, and the boom times. And then people wanted to go through an application rationalization exercise so they could self-fund really the innovation. >> Stephanie: Right. >> And when you're in the tenth year of a boom cycle, here. I wonder if there are similar things going on. Is that where the self-funding comes in? >> That's exactly it. So, I kind of use this example as a way of helping people consume and understand this. Marie Kondo, KonMari method is a popular, she wrote a best-selling book. She's on Netflix. The premise of her concept is helping to declutter your life. And her premise is you should hold each object in your hand and say, "Does it bring me joy?" And if it does, I'm going to keep it. And if it doesn't, I'm going to thank it for it's service, and get rid of it. And so we're talking to our clients about something very similar. You said, rationalization exercise and it's precisely the same thing. We're kind of using the KonMari method, if you will, to help our clients make those determinations. What are the things that they still need? What are the things that they can de-commission? What are the things that can stay where they are? And you don't have to do anything with, because they are serving the purpose just fine. >> Yeah, we're kind of hoarders by nature, and creatures of habit, so you have all these applications that nobody's using, but you're still spending maintenance and-- >> Stephanie: Correct. >> Keeping them up and it may not be delivering, and many aren't delivering value to the organization. So you want to double down on those that do. You guys use this concept and other do as well, of the autonomous enterprise. You have the autonomous database, I wonder if we could drill into that. Get passed the buzz words. What is the autonomous enterprise and what is Oracle's fit there? >> Yeah, I think one of the big misconceptions when people here autonomous, is that they think it means without people. And that's not right. (laughs) So, autonomous means that you're helping elevate all the parts of the system to their highest value. Which means, you don't need to worry about security patches. You don't need to worry about repairing things on the database. Those kinds of autonomous things is the technology helping heal and serve itself. That doesn't mean you don't need people anymore. What it means is two things. You need the experts that can help make sure that you're optimizing the value you get out of the autonomous tooling, but it also means that the humans are now freed up to do different kinds of high value work. So, an autonomous enterprise would be one where they're really sort of self-actualized. In the sense that their technology is feeding itself. It's getting smarter, and they're getting insights out of that, so that the people in their business are as valuable as they can be, leveraging the insights from the technology. >> So I can see how that trickles into IT. No questions about it. Can the autonomous IT organization trickle into the autonomous enterprise? And I mean I know it's sort of early days, but how do you see that shaping up? >> So, these kind of transformations, I believe are fundamentally across the whole company. And this is true at Oracle as well. We have something called Oracle@Oracle. And it's about drinking our own champagne and applying our own technology in house. So it's not just in an IT organization capacity. It's across HR, Procurement, Legal, every supporting function you can imagine. So that cultural change bleeds out across the entire body of the company. And I believe fully that if you're going after something like an AI mission or an autonomous enterprise state, which is an evolution that you need to involve everyone in the company in different roles. >> So what's that future state look like? >> I think the future state looks like a place where you're not just getting incremental gains on business processes or tasks that already exist. You're fundamentally seeing shifts in the way the business runs itself, as a result of the technology learning and getting smarter. And the people who are benefiting from that technology changing the way they operate in the company as well. >> So you mentioned the sort of decluttering example before, which I love, I'm getting that book. And are there other examples that inspire you? >> There are. So there was an anecdote, a client told me this story, which is a fantastic story, kind of triggered a thought for me. Told a story about a guy who was retiring. And at his retirement dinner, he told a story that 30 years ago when he started at the company. He remembers his dad teaching him, how to use the application that he then spent his entire career building and maintaining. As I heard that story, and they jokingly said at this point, our only solution is to get him out of retirement or find his son. (laughs) I thought about that, and I thought about 23 and me. You know 23 and me? >> Yes. >> So it's a DNA testing, tells you your heritage, lineage. And we're kind of at a state now, where a lot of our enterprise clients legitimately have these systems of record applications that are generations old, human generations old. So getting into the weeds on what that looks like, I've been telling clients pretty often lately. Institutional knowledge is the enemy, right? It's the enemy of the autonomous enterprise. If you have a challenge where you keep referring to the same name (laughs). If Bob leaves, we're in big trouble. If Sally isn't here anymore, that's a trigger for you to know that that's something you need to pay attention to. Because that institutional knowledge is not getting built into your technology. >> So what do you guys do? Do you put some kind of abstraction layer around that system of record, so that it can be automated? Is that part of what you do? >> Sure. So we're looking at, there's a couple different ways you can go about it. So you can look at the systems of record as a partial move that you do over time to the Cloud. And so you have to be pretty smart about the pattern and how you do that. Moving the workloads, kind of whole, will give you a little bit of that self-financing ability to dig in deeper and start transforming them. >> Okay, Trimodal IT. We'll be watching. (laughs) All right, Stephanie, thanks so much. It was great to see you. >> Absolutely, thanks. >> And thank you for watching. You're watching theCUBE at the special digital presentation. We'll be right back after this short break. (upbeat electronic music)

Published Date : Mar 25 2020

SUMMARY :

She is the head of about sort of the mission And so the idea of kind of the new fun stuff. into the third system yet. So the third piece, And the currency for the And that's the common So the awesome thing So it includes the on Make the shift of the budget where they're really the innovation. in the tenth year of a boom cycle, here. and it's precisely the same thing. of the autonomous enterprise. but it also means that the into the autonomous enterprise? across the entire body of the company. And the people who are So you mentioned the sort how to use the application So getting into the weeds And so you have to be pretty It was great to see you. And thank you for watching.

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Stephanie Trunzo, Oracle | Empowering the Autonomous Enterprise of the Future


 

>>Yeah, >>yeah, yeah. >>Hello, everyone. And welcome to this Cube special presentation where we're covering the rebirth of Oracle Consulting. So this is a digital event where we're going around and identifying subject matter experts and different locations. We're currently here in Chicago, and I'm here with Stephanie Trunzo, who's the head of transformation and offerings at Oracle Consulting. Stefanie, Great to see you again. >>Yeah, you too. >>So, Oracle Consulting. You know, you guys have been quiet lately. >>Where you Yeah, >>well, we were quiet because I wasn't here >>yet. And I think the noise. Yeah, exactly. >>Here to make some noise. So I love the way you said rebirth. I think it's really accurate work. Will. Consulting has been around for quite some time, but as you said, maybe not high on the radar and one of the things that we're learning And one of the reasons I'm here in this transformation role is to help us transform ourselves to better match the transformation that our clients are going through. So that rebirth, which kind of makes me the mother, I guess of our consulting organization here is helping match our offerings to the kind of language that our clients are now using, which is really outcome driven. >>So was there an internal transformation, or is there an internal transformation taking place as well? And then you're sort of pointed to the marketplace. Maybe you could describe that. >>Absolutely. Yeah, So we're undergoing our own transformation at the same time that we're helping our clients undergo their transformation. And so, for us what that looks like it is things like the traditional services organization, which is kind of what Oracle Consulting had been in the past, was looking at the expertise that was necessary to drive clients business forward. But delivering it in what I would call a pretty traditional way, time of materials based kinds of contracting, determining the skills that were necessary, and and conversing with clients and feature function kinds of discussions. And our transformation is now about rebuilding the organization around offerings. And those offerings are things that we're doing to match the way that our clients are consuming. Let's say cloud technology. So if you might purchase of natural language processing service from a cloud platform, we want to also make sure that we're matching the humans to those technology services and enabling our clients to buy from us in a very similar way. >>So let's drill into this a little bit, because I'm gonna explain to people. So you talked about outcome driven. It used to be sort of a T and M model, which was staff augmentation. Hey, just just keep paying us. And, you know, if we capture the flag, great. If not, well, too bad. So now you're sort of starting at the outcome, and that's kind of working back right from their >>exactly right. Okay, so you know, clients people are transforming their businesses. They have goals. Those goals are, too. Serve their own clients differently to think about how to gain efficiencies within their organization. The change management that comes with it. Maybe it's to open up new revenue streams. Those are the outcomes that they're looking to achieve. They're not looking to say I need three database administrators for four months. That's not an outcome, right? And so we're thinking about how do we better shape our language, our organizational body posture to be the kind of force that can help them accelerate their own disruptions and their own transformations instead of, as you said kind of Here's a couple people for a couple of months, but here's the outcome. We're gonna help you achieve. >>Now. You're also bringing in some new blood. I mean, obviously Oracle large organization. A lot of DNA there but yourself. You came from IBM, you got people coming in from AWS. You've got folks from Accenture and all over the place. So describe that and how that's affecting the culture of Oracle consulting. >>And again, I think it's really a miracle how much our own transformation mirrors what's going on in our clients businesses. There's an influx of talent that is necessary to change the way that you think. And I believe that one of the reasons I myself came to join Oracle Consulting was I was excited about this new adventure. So when you're working in a certain style in a certain way, in a certain team for some amount of time, you can maybe forget to get introspective and forget to look at what's right in front of you and the changes you need to make. So bringing in new talent from outside is as much a part of our transformation as the way that we're shaping our offerings is bringing in those new ideas, bringing in people who have, you know, been there, done it in other experiences so that they can infuse our thinking with some of what's going on in the market around us. >>How would you summarize the mission of Oracle Consulting? >>The mission of Oracle Consulting is extremely simple. It's dead simple. It's help our clients succeed on Oracle Cloud Technology, period. >>Okay, now, part of that success comes with partners. You talk a little about the ecosystem and how that's evolving and what your vision is, how that transforms. >>I'm a huge ecosystem proponent. I love partnerships. I think it's a really important thing to build a healthy, strong channel. And so, while we're transforming our own consulting organization, we're also looking at our partner ecosystem to find where we can identify strategic partners. So there's always multiple partners in our Oracle Channel that we work with to be able to deliver broader solutions to our clients because they may have capabilities. We don't and vice versa. But when you can find sort of the Venn diagram where your strengths and their strengths together give us a broader solution for the client those were the special ones. And so to name a couple, we have a great partnership with Deloitte. We just announced that actually, fairly recently. We also have a partnership with an logica is another one of our strategic partners. And so they are bringing to the table some stories where we don't play, and then we're able to extend that story for our clients so that we can get to those outcomes that we were talking about. >>Where do you leave off and where the partners pick up? What's the sort of swim lane, if you will? >>Yep, so it depends on every partnership is a little bit different when we are helping with what I call our cloud evolution framework and is kind of a journey of How do you get to cloud? And there's lots of different components to it. Our partners play in different parts of that cloud evolution journey. So as an example, Deloitte is, ah, fantastic example. Our partnership with Deloitte when we're helping our clients modernize, move workloads to the cloud. Deloitte can help them continue to maintain and optimize that after we finish the first wave of modernization. So that's one example with M Logical. We have a different pattern where M Logica is helping with take outs of different technologies on the front end, and then we're going to pick up and help with the innovation piece after the take out is over. >>So you really way replay that. Tell me what you're really the deep technology expertise, whereas some of your partners not only they have technology expertise but they can help with business transformations and sort of other organizational changes is that, Is that right? >>That's absolutely true. We have the deep technology experience, the Oracle expertise, but we also are able to help build and kind of umbrella plan around our cloud evolution framework and then pull in the partners to their strengths. And it also really helps us when we're in an ecosystem discussion to make sure that we're understanding how we're also benefiting the partner. There's always got to be a win win, right? So it's not just about how do we fit in and play, but that we're growing their business because by growing our partners businesses, we're growing. Overall, our Oracle story, >>because Oracle's known as a product company and still suffer products that you generate most of your revenue, so and you've got your cloud. You've got things like Cloud a customer and exit data that's really driving you got. The Oracle database is certainly a huge application portfolio. How is Oracle Consulting? Aligning with the >>products? >>Yeah, that's a great question. So as a product company, our goal is still to help our clients achieve their goals. Right? And so consulting is looking at our Oracle products that to make sure that we're always the deepest and the busted understanding so we can help leverage that technology to its fullest capacity for our clients. It's not just good enough to buy a tool. You have to know how to use it, right? And so our objective is to align with Oracle products. Make sure we know what's gonna be hot off the press that we're driving from. Our client experience is back into the product sets as well. So we're informing our product development of what's really happening out in the world with our clients implementations. >>My last question is, how are you gonna define success when you look back a couple years from now? What will success look like to you >>Yeah, that's a great question. Success to me will look like being the go to for any solution. That is an Oracle driven answer to our clients that Oracle Consulting is driving consumption in a way that is extremely valuable to the client. Because in the end, cloud consumption technology consumption brought in and of itself is not very interesting. It's when we're telling stories that our client stories on stage is because we've helped them achieve new business outcomes, things that weren't possible for them before. >>Well, it's great to have you. Thank you so much for coming on. And it's good to have you at the helm. Bring credibility to Oracle Consulting. And we'll be watching. So thank you. >>Awesome. Thank you. >>Thank you for watching. We'll be right back with our next guest right after this short break. You're watching the cube. Yeah, Yeah, yeah, yeah, yeah, yeah

Published Date : Mar 25 2020

SUMMARY :

Stefanie, Great to see you again. You know, you guys have been quiet lately. And I think the noise. So I love the way you said rebirth. Maybe you could describe that. So if you might purchase of natural language processing So let's drill into this a little bit, because I'm gonna explain to people. Those are the outcomes that they're looking to achieve. So describe that and how that's affecting the culture of Oracle consulting. And I believe that one of the reasons I myself came to join Oracle It's help our Okay, now, part of that success comes with partners. And so to name a couple, we have a great partnership with Deloitte. And there's lots of different components to it. So you really way replay that. discussion to make sure that we're understanding how we're also benefiting the partner. because Oracle's known as a product company and still suffer products that you generate most of your revenue, And so our objective is to align with Oracle That is an Oracle driven answer to our clients that Oracle And it's good to have you at the helm. Thank you. Thank you for watching.

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Stephanie Trunzo, Oracle | Empowering the Autonomous Enterprise of the Future


 

from Chicago it's the cube covering Oracle transformation day 2020 not to you by Oracle consulting hello everyone and welcome to this cube special presentation where we're covering the rebirth of Oracle consulting so this is a digital event where we're going around and identifying subject matter experts in different locations we're currently here in Chicago and I'm here with Stephanie trunzo who's the head of transformation and offerings at Oracle consulting is definitely great to see you again yeah you too so Oracle consulting you know you guys have been quiet lately where you good yeah well we were quiet because I wasn't here yet okay make a noise yeah exactly here to make some noise so I love the way you said rebirth I think it's really accurate work will consulting has been around for quite some time but as you said maybe not high on the radar and one of the things that we're learning and one of the reasons I'm here in this transformation role is to help us transform ourselves to better match the transformation that our clients are going through so that rebirth which kind of makes me the the mother I guess over our consulting organization here is helping match our offerings to the kind of language that our clients are now using which is really outcome driven mm-hmm so was there an internal transformation or is there an internal transformation taking place as well and then just sort of pointed to the marketplace maybe you could describe that absolutely yeah so we are undergoing our own transformation at the same time that we're helping our clients undergo their transformation and so for us what that looks like it is things like a traditional services organization which is kind of what Oracle consulting had been in the past was looking at the expertise that was necessary to drive clients business forward but delivering it in what I would call a pretty traditional way time and materials based kinds of contracting determining the skills that were necessary in and conversing with clients and feature function kinds of discussions and our transformation is now about rebuilding the organization around offerings and those offerings are things that we're doing to match the way that our clients are consuming let's say cloud technology so if you might purchase natural language processing service from a cloud platform we want to also make sure that we're matching the humans to those technology services and enabling our clients to buy from us in a very similar way so let's drill into this a little bit because I want to explain to people so you talked about outcome driven yeah and it used to be sort of a t and M model which was staff augmentation hey just just keep paying us and you know if we capture the flag great if not well too bad so now you're sort of starting at the outcome and that's kind of working back right from there exactly right okay so you know clients people are transforming their businesses they have goals those goals are to serve their own clients differently to think about how to gain efficiencies within their organization the change management that comes with it maybe it's to open up new revenue streams those are the outcomes that they're looking to achieve they're not looking to say I need three database administrators for four months that's not an outcome right and so we're thinking about how do we better shape our language our organizational body posture to be the kind of force that can help them accelerate their own disruptions and their own transformations instead of as you said kind of here's a couple people for a couple months but here's the outcome we're gonna help you achieve now you're also bringing in some some new blood I mean obviously Oracle a large organization a lot of DNA there but yourself you came from IBM you got people coming in from AWS you got folks from Accenture and all over the place so I described that and how that's affecting the culture of Oracle consulting and again I think it's really a miracle how much our own transformation mirrors what's going on in our clients businesses there's an influx of talent that is necessary to change the way that you think and I believe that one of the reasons I myself came to join Oracle consulting was I was excited about this new adventure so when you're working in a certain style in a certain way in a certain team for some amount of time you can maybe forget to get introspective and forget to look at what's right in front of you and the changes you need to make so bringing in new talent from outside is as much a part of our transformation as the way that we're shaping our offering is bringing in those new ideas bringing in people who have you know been there done it in other experiences so that they can infuse our thinking with some of what's going on in the market around us how would you summarize the mission Oracle consulting the mission of Oracle consulting is extremely simple it's dead simple its help our clients succeed on Oracle cloud technology period ok now part of that success comes with partners absolutely talk a little bit about the ecosystem and how that's evolving and what your vision is to how that you know transforms I'm a huge ecosystem proponent I love partnerships I think it's a really important thing to build a healthy strong channel and so while we're transforming our own consulting organization we're also looking at our partner ecosystem to find where we can identify strategic partners so there's always multiple partners in our Oracle channel that we work with to be able to deliver broader solutions to our clients because they may have capabilities we don't and vice versa but when you can find sort of the Venn diagram where your strengths and their strengths together give us a broader solution for the client those are the special ones and so to name a couple we have a great partnership with Deloitte we had just announced that actually fairly recently we also have a partnership with M logica is another one of our strategic partners and so they are bringing to the table some stories where we don't play and then we're able to extend that story for our clients so that we can get to those outcomes that we were talking about where do you leave off and where do the partners pick up what's the sort of swim lane if you will yep so it depends on every partnership is a little bit different when we are helping with what I call our cloud evolution framework and is kind of a journey of how do you get to cloud and there's lots of different components to it our partners play in different parts of that cloud evolution journey so as an example Deloitte is a fantastic example our partnership with Deloitte when we're helping our clients modernize move workloads to the cloud Deloitte can help them continue to maintain and optimize that after we finish the first wave of modern is so that's one example with em Logica we have a different pattern where M logica is helping with takeouts of different technologies on the front end and then we are going to pick up and help with the innovation piece after the takeout is over so you really replay that tell me if I gotta share you're really the the tech deep technology expertise whereas some of your partners not only they have technology expertise but they can help with business transformations and sort of other organizational changes is that is that right that's absolutely true we have the deep technology experience the Oracle expertise but we also are able to help build an kind of umbrella plan around our cloud evolution framework and then pull in the partners to their strengths and it also really helps us when we're in an ecosystem discussion to make sure that we're understanding how we are also benefiting the partner there's always got to be a win-win right so it's not just about how do we fit in and play but that we're growing their business because by growing our partners businesses we're growing overall our Oracle story of course Oracle's known as a product company is sell software products that's how you generate most of your revenue so and you've got your cloud you've got you know things like cloud a customer and you know Exadata that's really driving you got the Oracle database certainly a huge application portfolio how is Oracle consulting aligning with the products yeah that's a great question so as a product company our goal is still to help our clients achieve their goals right and so consulting is looking at our Oracle products that to make sure that we are always the deepest and the best at understanding so we can help leverage that technology to its fullest capacity for our clients it's not just good enough to buy a tool you have to know how to use it right and so our objective is to align with Oracle products make sure we know what's going to be hot off the press that we're driving from our client experiences back into the product sets as well so we're informing our product development of what's really happening out in the world with our clients implementations my last question step is how are you gonna define success when you look back you know a couple years from now what will success look like to you yeah that's a great question success to me will look like being the go-to for any solution that is an Oracle driven answer to our clients that Oracle consulting is driving consumption in a way that is extremely valuable to the client because in the end cloud consumption technology consumption by in and of itself is not very interesting it's when we're telling stories that are our clients stories on stages because we've helped them achieve new business outcomes things that weren't possible for them before well it's great to have you thank you so much for coming on and it's good to have you at the helm sort of bring credibility to Oracle consulting and we'll be watching so thank you awesome thank you all right and thank you for watching we'll be right back with our next guest right after this short break you watching the cube

Published Date : Mar 23 2020

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Stephanie Trunzo, Oracle | Empowering the Autonomous Enterprise of the Future


 

from Chicago it's the cube covering Oracle transformation day 2020 not to you by Oracle consulting welcome back to the queue of everybody this is a special digital presentation sponsored by Oracle consulting we go out to the events we extract the signal from the noise and we're going to multiple locations to really try to understand better the rebirth of or consulting Stephanie trunzo is here she's the head of transformation and offerings at or consulting North America Stephanie good to see you yeah good to see you okay so we talked about sort of the mission of Oracle consulting now let's get into it and talk about what some of the customers are seeing there's this you know theme in the industry the Gartner brought up about bimodal lights yeah you guys are talking about trimodal eyes yeah so what is that all about well ii wasn't good enough so we had a third so bimodal IT two-speed IT the idea there is a lot of modern enterprises are struggling with this challenge between the systems of record that they have that are have to be sources of truth they're often slow to change there's a lot of rigor around transforming those systems of record and then on the the second side on the bimodal side there are the systems of interaction or systems of engagement they're sometimes called and those systems are things like the applications where there's users customers at the other end and they need to move at the speed of business and so the idea of bimodal IT and what a lot of our clients are struggling with currently is how do you serve both of those needs at the same time there's complications in the processes the tools and certainly in the budget and at the same time there's kind of looming out there this you know threat almost that if you aren't in the a IML data-driven world yet you're going to fall behind and so our clients are struggling with the fact that they have not yet successfully addressed by modal IT but still have to figure out how to get into this AI space so our third system hence trimodal IT as the systems of intelligence and that's what we've added so should I get the bimodal right yes that you know people that are handling the the systems of record you said hmm and so they have knowledge they got you know tribal knowledge yes DJ BIA which may not be you know widespread it's not kids kids coming out of school don't necessarily have that that same expertise and then there's sort of the systems of engagement kind of the new fun stuff did customers in your sense buy into that or did they try to sort of cross pollinate as practitioners yeah they they do buy into it but they're really alright they're still struggling with the idea of bimodal IT without even getting into the third system yet and so they are buying into it the challenge I don't it's not even really about buying into it it's addressing the challenge because they have to overcome this legacy stuff that they have in their system in order to address the speed of business so the third piece obviously relates to machine intelligence AI nml it seems like that type of capability would apply to both systems of record and systems of engagement is that is that how you're looking at yes and so the trimodal IT concept is kind of three different systems and how they interlock and relate to one another if you think about systems of record the currency so to speak for systems of record or processes if you think about the currency for systems of interaction it's the people it's the users it's the humans and this is the currency for the system of intelligence is data to your point so when you're talking about systems of intelligence collecting and leveraging data from all three systems is going to be what fuels your system of intelligence going forward and that's the common thread between you know all three and it just seems to me that is ultimately the underpinning of modernization I wonder what do your customers how do they view and how do you view modernization so the awesome thing about being at Oracle is data is our DNA that's where Oracle started from that's where we still are today is data underpins everything we do all of the technology that we build is built on the understanding that it must be data driven and so when we're looking at all three of those systems and you're looking at it from an Oracle perspective data is at the heart of even system a record of even systems of interaction not only the systems of intelligence when our clients are looking at modernization they're trying to figure out a way to kind of leapfrog this story and get the whole way to a place where they're getting intelligence and insights out of their data they're not just unlocking it they're not just moving workloads and a lift and shift kind of model they're doing it because they want to serve the ultimate outcome that they get smarter as a business so data is kind of like raw material the AI or machine intelligence provides it allows you to take data and create insights if you will and then cloud gives you scale and agility and all those things so so clouds again another fundamental piece of just from an infrastructure standpoint and I think you guys define cloud as sort of an experience not a place so includes the on-prem workloads of course so talk about cloud customers want to go from where they are today to somehow become some ending point and they don't want to spend a zillion dollars and they don't want to disrupt their business they're gonna have to make investments clearly how do they get from point A to point B on that cloud journey so we've built something called a cloud evolution framework that cloud evolution framework has several different phases and stages and it's intended to be kind of a skeleton to have that conversation with clients are you thinking about all of the things you need to consider to make a healthy decision that has a real roadmap behind it to your point on budget and this is part of the trimodal IT conversation is there struggling I've talked to so many CIOs who are struggling to figure out I right now I'm spending you know 90% of my spend is on maintenance of systems versus on innovation so how do I shift that spending story to something that's actually going to move the needle on getting the business ahead that's gonna serve my stakeholders who are the lines of business in a way that is not additive to my budget but actually a shift of the budget and so we're looking at from a cloud perspective helping our clients make that monetary shift make the shift of the budget where they're self financing their own innovation by getting smarter and faster on moving their workloads to the cloud it's a - I want to come back to that self financing via y2k where you had all these activities going on in the boom times and then people wanted to go through an application rationalization exercise yes it could self fund really the innovation right and we're in a tenth year of a boom cycle here I wonder are there similar things going on is that where the self funding comes in that's exactly it so you know I kind of used this example as a way of helping people consume and understand this Marie Kondo konmari method is a popular she wrote a best-selling book she's on Netflix the premise of her concept is helping to declutter your life and her premises you should hold each object in your hand and say does it bring me joy and if it does I'm going to keep it and if it doesn't I'm gonna thank it for its service and get rid of it and so we're talking to our clients about something very similar you said rationalization exercise and it's precisely the same thing we're kind of using the konmari method if you will to help our clients make those determinations what are the things that they still need what are the things that they can decommission what are the things that can stay where they are and you don't have to do anything with because they're serving the purpose just fine yeah we're kind of hoarders by nature in creature habit so you have all these applications that nobody's using but you're still spending maintenance and correct keeping them up and and they may not be delivering and in problem any aren't delivering value for the organization so you want to double down on those that do you guys use this concept and others do as well of the autonomous enterprise you have autonomous database I wonder if we could you know drill into that get past the buzz words what is the autonomous enterprise and and what's Oracle's fit there yeah I think one of the big misconceptions when people hear autonomous is that they think it means without people and that's not right so autonomous means that you're helping elevate all the parts of the system to their highest value which means you don't need to worry about security patches you don't need to worry about repairing things on the the database those kinds of autonomous things is is the technology helping heal and serve itself that doesn't mean you don't need people anymore what it means is two things you need the experts that can help make sure that you're optimizing the value you get out of autonomous tooling but it also means that the humans are now freed up to do different kinds of high-value work so an autonomous enterprise would be one where they're really sort of self actualized in the sense that their technology is feeding itself it's getting smarter and they're getting insights out of that so that the people in their business are as valuable as they can be leveraging the insights from the technology so I can see how that trickles into IT no question about it can can the autonomous IT organization trickle into the autonomous enterprise and I mean I know it's early days but how do you see that you know shaping up so the these kinds of transformations I believe are fundamentally across the whole company and and this is true at Oracle as well we have we have something called Oracle at Oracle and it's about drinking our own champagne and applying our own technology in-house so it's not just in an IT organization capacity its across you know HR procurement legal every supporting function that you can imagine so that cultural change bleeds out across the entire body of the company and I believe fully that if you're going after something like an AI mission or an autonomous enterprise you know state which is an evolution that you need to involve everyone in the company in different roles so what's that future state look like I think the future state looks like a place where you're not just getting incremental gains on business processes or tasks that already exist you're fundamentally seeing shifts and the way the business runs itself as a result of the technology learning and getting smarter and the people who are benefiting from that technology changing the way they operate in the company as well so you mentioned the hood decluttering example yeah which I love are there other examples that inspire you there are so I there was an anecdote a client told me this story which is a fantastic story kind of triggered a thought for me a told a story about a guy who was retiring at his retirement dinner he told a story that thirty years ago when he'd started at the company he remembers his dad teaching him how to use the application that he then spent his entire career building and maintaining as I heard that story and they jokingly said at this point our only solution is to get him out of retirement or find his son I thought about that and I thought about 23andme have you know yes so it's a you know kind of DNA testing tells you your heritage lineage and we're kind of at a state now where a lot of our enterprise clients legitimately have these systems of record applications that are generations old human generations old so getting into the weeds on what that looks like I've been telling clients pretty often lately institutional knowledge is the enemy right if and it's the enemy of the autonomous enterprise if you have if you have a challenge where you keep referring to the same name you know if Bob leaves we're in big trouble if Sally isn't here anymore that's a trigger for you to know that that's something you need to pay attention to because that institutional knowledge is not getting built into your your technology so what do you guys do you put some kind of abstraction layer around that system of Records so that it can be automated does that part of sure so so we are looking at there's a couple different ways you can go about it so you can look at the systems of record as a partial move that you do over time to the cloud and so you have to be pretty smart about the pattern and how you do that moving think the workloads kind of whole will give you a little bit of that self financing ability to dig in deeper and start transforming them ok trimodal IT will be watching hey Stephanie thanks so much it's great yeah absolutely Thanks thank you for watching you watching the queue at this special digital presentation we'll be right back right after this short break

Published Date : Mar 23 2020

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Stephanie McReynolds, Alation | CUBEConversation, November 2019


 

>> Announcer: From our studios, in the heart of Silicon Valley, Palo Alto, California, this is a CUBE conversation. >> Hello, and welcome to theCUBE studios, in Palo Alto, California for another CUBE conversation where we go in depth with though leaders driving innovation across tech industry. I'm your host, Peter Burris. The whole concept of self service analytics has been with us decades in the tech industry. Sometimes its been successful, most times it hasn't been. But we're making great progress and have over the last few years as the technologies matures, as the software becomes more potent, but very importantly as the users of analytics become that much more familiar with what's possible and that much more wanting of what they could be doing. But this notion of self service analytics requires some new invention, some new innovation. What are they? How's that going to play out? Well, we're going to have a great conversation today with Stephanie McReynolds, she's Senior Vice President of Marketing, at Alation. Stephanie, thanks again for being on theCUBE. >> Thanks for inviting me, it's great to be back. >> So, tell us a little, give us an update on Alation. >> So as you know, Alation was one of the first companies to bring a data catalog to the market. And that market category has now been cemented and defined depending on the industry analyst you talk to. There could be 40 or 50 vendors now who are providing data catalogs to the market. So this has become one of the hot technologies to include in a modern analytics stacks. Particularly, we're seeing a lot of demand as companies move from on premise deployments into the cloud. Not only are they thinking about how do we migrate our systems, our infrastructure into the cloud but with data cataloging more importantly, how do we migrate our users to the cloud? How do we get self-service users to understand where to go to find data, how to understand it, how to trust it, what re-use can we do of it's existing assets so we're not just exploding the amount of processing we're doing in the cloud. So that's been very exciting, it's helped us grow our business. We've now seen four straight years of triple digit revenue growth which is amazing for a high growth company like us. >> Sure. >> We also have over 150 different organizations in production with a data catalog as part of their modern analytics stack. And many of those organizations are moving into the thousands of users. So eBay was probably our first customer to move into the, you know, over a thousand weekly logins they're now up to about 4,000 weekly logins through Alation. But now we have customers like Boeing and General Electric and Pfizer and we just closed a deal with US Air Force. So we're starting to see all sorts of different industries and all sorts of different users from the analytics specialist in your organization, like a data scientist or a data engineer, all the way out to maybe a product manager or someone who doesn't really think of them as an analytics expert using Alation either directly or sometimes through one of our partnerships with folks like Tableau or Microstrategy or Power BI. >> So, if we think about this notion of self- service analytics, Stephanie, and again it's Alation has been a leader in defining this overall category, we think in terms of an individual who has some need for data but is, most importantly, has questions they think data can answer and now they're out looking for data. Take us through that process. They need to know where the data is, they need to know what it is, they need to know how to use it, and they need to know what to do if they make a mistake. How is that, how are the data catalogs, like Alation, serving that, and what's new? >> Yeah, so as consumers, this world of data cataloging is very similar if you go back to the introduction of the internet. >> Sure. >> How did you find a webpage in the 90's? Pretty difficult, you had to know the exact URL to go to in most cases, to find a webpage. And then a Yahoo was introduced, and Yahoo did a whole bunch of manual curation of those pages so that you could search for a page and find it. >> So Yahoo was like a big catalog. >> It was like a big catalog, an inventory of what was out there. So the original data catalogs, you could argue, were what we would call from an technical perspective, a metadata repository. No business user wants to use a metadata repository but it created an inventory of what are all the data assets that we have in the organizations and what's the description of those data assets. The meta- data. So metadata repositories were kind of the original catalogs. The big breakthrough for data catalogs was: How do we become the Google of finding data in the organization? So rather than manually curating everything that's out there and providing an in- user inferant with an answer, how could we use machine learning and AI to look at patterns of usage- what people are clicking on, in terms of data assets- surface those as data recommendations to any end user whether they're an analytics specialist or they're just a self- service analytics user. And so that has been the real break through of this new category called data cataloging. And so most folks are accessing a data catalog through a search interface or maybe they're writing a SQL query and there's SQL recommendations that are being provided by the catalog-- >> Or using a tool that utilizes SQL >> Or using a tool that utilizes SQL, and for most people in a- most employees in a large enterprise when you get those thousands of users, they're using some other tool like Tableau or Microstrategy or, you know, a variety of different data visualization providers or data science tools to actually access that data. So a big part of our strategy at Alation has been, how do we surface this data recommendation engine in those third party products. And then if you think about it, once you're surfacing that information and providing some value to those end users, the next thing you want to do is make sure that they're using that data accurately. And that's a non- trivial problem to solve, because analytics and data is complicated. >> Right >> And metadata is extremely complicated-- >> And metadata is-- because often it's written in a language that's arcane and done to be precise from a data standpoint, that's not easily consumable or easily accessible by your average human being. >> Right, so a label, for example, on a table in a data base might be cust_seg_257, what does that mean? >> It means we can process it really quickly in the system. >> Yeah, but as-- >> But it's useless to a human being-- >> As a marketing manager, right? I'm like, hey, I want to do some customer segmentation analysis and I want to find out if people who live in California might behave differently if I provide them an offer than people that live in Massachusetts, it's not intuitive to say, oh yeah, that's in customer_seg_ so what data catalogs are doing is they're thinking about that marketing manager, they're thinking about that peer business user and helping make that translation between business terminology, "Hey I want to run some customer segmentation analysis for the West" with the technical, physical model, that underlies the data in that data base which is customer_seg_257 is the table you need to access to get the answer to that question. So as organizations start to adapt more self- service analytics, it's important that we're managing not just the data itself and this translation from technical metadata to business metadata, but there's another layer that's becoming even more important as organizations embrace self- service analytics. And that's how is this data actually being processed? What is the logic that is being used to traverse different data sets that end users now have access to. So if I take gender information in one table and I have information on income on another table, and I have some private information that identifies those two customers as the same in those two tables, in some use tables I can join that data, if I'm doing marketing campaigns, I likely can join that data. >> Sure. >> If I'm running a loan approval process here in the United States, I cannot join that data. >> That's a legal limitation, that's not a technical issue-- >> That's a legal, federal, government issue. Right? And so here's where there's a discussion, in folks that are knowledgeable about data and data management, there's a discussion of how do we govern this data? But I think by saying how we govern this data, we're kind of covering up what's actually going on, because you don't have govern that data so much as you have to govern the analysis. How is this joined, how are we combining these two data sets? If I just govern the data for accuracy, I might not know the usage scenario which is someone wants to combine these two things which makes it's illegal. Separately, it's fine, combined, it's illegal. So now we need to think about, how do we govern the analytics themselves, the logic that is being used. And that gets kind of complicated, right? For a marketing manager to understand the difference between those things on the surface is doesn't really make sense. It only makes sense when the context of that government regulation is shared and explained and in the course of your workflow and dragging and dropping in a Tableau report, you might not remember that, right? >> That's right, and the derivative output that you create that other people might then be able to use because it's back in the data catalog, doesn't explicitly note, often, that this data was generated as a combination of a join that might not be in compliance with any number of different rules. >> Right, so about a year and a half ago, we introduced a new feature in our data catalog called Trust Check. >> Yeah, I really like this. This is a really interesting thing. >> And that was meant to be a way where we could alert end users to these issues- hey, you're trying to run the same analytic and that's not allowed. We're going to give you a warning, we're not going to let you run that query, we're going to stop you in your place. So that was a way in the workflow of someone while they're typing a SQL statement or while they're dragging and dropping in Tableau to surface that up. Now, some of the vendors we work with, like Tableau, have doubled down on this concept of how do they integrate with an enterprise data catalog to make this even easier. So at Tableau conference last week, they introduced a new metadata API, they introduced a Tableau catalog, and the opportunity for these type of alerts to be pushed into the Tableau catalog as well as directly into reports and worksheets and dashboards that end users are using. >> Let me make sure I got this. So it means that you can put a lot of the compliance rules inside Alation and have a metadata API so that Alation effectively is governing the utilization of data inside the Tableau catalog. >> That's right. So think about the integration with Tableau is this communication mechanism to surface up these policies that are stored centrally in your data catalog. And so this is important, this notion of a central place of reference. We used to talk about data catalogs just as a central place of reference for where all your data assets lie in the organizations, and we have some automated ways to crawl those sources and create a centralized inventory. What we've added in our new release, which is coming out here shortly, is the ability to centralize all your policies in that catalog as well as the pointers to your data in that catalog. So you have a single source of reference for how this data needs to be governed, as well as a single source of reference for how this data is used in the organization. >> So does that mean, ultimately, that someone could try to do something, trust check and say, no you can't, but this new capability will say, and here's why or here's what you do. >> Exactly. >> A descriptive step that says let me explain why you can't do it. >> That's right. Let me not just stop your query and tell you no, let me give you the details as to why this query isn't a good query and what you might be able to do to modify that query should you still want to run it. And so all of that context is available for any end user to be able to become more aware of what is the system doing, and why is recommending. And on the flip side, in the world before we had something like Trust Check, the only opportunity for an IT Team to stop those queries was just to stop them without explanation or to try to publish manuals and ask people to run tests, like the DMV, so that they memorized all those rules of governance. >> Yeah, self- service, but if there's a problem you have to call us. >> That's right. That's right. So what we're trying to do is trying to make the work of those governance teams, those IT Teams, much easier by scaling them. Because we all know the volume of data that's being created, the volume of analysis that's being created is far greater than any individual can come up with, so we're trying to scale those precious data expert resources-- >> Digitize them-- >> Yeah, exactly. >> It's a digital transformation of how we acquire data necessary-- >> And then-- >> for data transformation. >> make it super transparent for the end user as to why they're being told yes or no so that we remove this friction that's existed between business and IT when trying to perform analytics. >> But I want to build a little bit on one of the things I thought I heard you say, and that is that the idea that this new feature, this new capability will actually prescribe an alternative, logical way for you to get your information that might be in compliance. Have I got that right? >> Yeah, that's right. Because what we also have in the catalog is a workflow that allows individuals called Stewards, analytics Stewards to be able to make recommendations and certifications. So if there's a policy that says though shall not use the data in this way, the Stewards can then say, but here's an alternative mechanism, here's an alternative method, and by the way, not only are we making this as a recommendation but this is certified for success. We know that our best analysts have already tried this out, or we know that this complies with government regulation. And so this is a more active way, then, for the two parties to collaborate together in a distributed way, that's asynchronous, and so it's easy for everyone no matter what hour of the day they're working or where they're globally located. And it helps progress analytics throughout the organization. >> Oh and more importantly, it increases the likelihood that someone who is told you now have self- service capability doesn't find themselves abandoning it the first time that somebody says no, because we've seen that over and over with a lot of these query tools, right? That somebody says, oh wow, look at this new capability until the screen, you know, metaphorically, goes dark. >> Right, until it becomes too complicated-- >> That's right-- >> and then you're like, oh I guess I wasn't really trained on this. >> And then they walk away. And it doesn't get adopted. >> Right. >> And this is a way, it's very human centered way to bring that self- service analyst into the system and be a full participant in how you generate value out of it. >> And help them along. So you know, the ultimate goal that we have as an organization, is help organizations become our customers, become data literate populations. And you can only become data literate if you get comfortable working with the date and it's not a black box to you. So the more transparency that we can create through our policy center, through documenting the data for end users, and making it more easy for them to access, the better. And so, in the next version of the Alation product, not only have we implemented features for analytic Stewards to use, to certify these different assets, to log their policies, to ensure that they can document those policies fully with examples and use cases, but we're also bringing to market a professional services offering from our own team that says look, given that we've now worked with about 20% of our installed base, and observed how they roll out Stewardship initiatives and how they assign Stewards and how they manage this process, and how they manage incentives, we've done a lot of thinking about what are some of the best practices for having a strong analytics Stewardship practice if you're a self- service analytics oriented organization. And so our professional services team is now available to help organizations roll out this type of initiative, make it successful, and have that be supported with product. So the psychological incentives of how you get one of these programs really healthy is important. >> Look, you guys have always been very focused on ensuring that your customers were able to adopt valued proposition, not just buy the valued proposition. >> Right. >> Stephanie McReynolds, Senior Vice President of Marketing Relation, once again, thanks for being on theCUBE. >> Thanks for having me. >> And thank you for joining us for another CUBE conversation. I'm Peter Burris. See you next time.

Published Date : Dec 10 2019

SUMMARY :

in the heart of Silicon Valley, Palo Alto, California, and that much more wanting of what they could be doing. So, tell us a little, depending on the industry analyst you talk to. and General Electric and Pfizer and we just closed a deal and they need to know what to do if they make a mistake. of the internet. of those pages so that you could search for a page And so that has been the real break through the next thing you want to do is make sure that's arcane and done to be precise from a data standpoint, and I have some private information that identifies in the United States, I cannot join that data. and in the course of your workflow and dragging and dropping That's right, and the derivative output that you create we introduced a new feature in our data catalog This is a really interesting thing. and the opportunity for these type of alerts to be pushed So it means that you can put a lot of the compliance rules is the ability to centralize all your policies and here's why or here's what you do. let me explain why you can't do it. the only opportunity for an IT Team to stop those queries but if there's a problem you have to call us. the volume of analysis that's being created so that we remove this friction that's existed and that is that the idea that this new feature, and by the way, not only are we making this Oh and more importantly, it increases the likelihood and then you're like, And then they walk away. And this is a way, it's very human centered way So the psychological incentives of how you get one of these not just buy the valued proposition. Senior Vice President of Marketing Relation, once again, And thank you for joining us for another

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Stephanie Waibel, CenturyLink | Cisco Live US 2019


 

>> Narrator: Live from San Diego, California, it's The Cube! Covering Cisco Live U.S. 2019. Brought to you by Cisco and it's eco system partners. >> Welcome back to the Cube's coverage of Cisco Live, Day 3 from buzzy, sunny San Diego. I'm Lisa Martin, my co-host is Stu Miniman and Stu and I are pleased to welcome to the Cube Stephanie Wible, Senior Product Manager, hybrid networking and SD-WAN, from CenturyLink. Stephanie, welcome to the Cube! >> Thank you, I'm glad to be here. >> Yeah, so welcome to the buzzy dev nut zone. This place has been buzzing for three days now. >> It is definitely an active session over here today. >> It is, so let's talk about SD-WAN. We've heard a lot the last few days about the massive transformations to the network. Changing customer demands, changing customer needs, talk to us about the SD-WAN marketplace, overall. >> So we don't have a conversation with any of our customers these days that don't include some kind of a conversation about SD-WAN. Everybody is looking to transform their networks and their looking for the next best thing. They're also trying future-proof their networks. Some of the customer drivers that we see are folks looking to augment existing MPLS networks with lower cost access, making the best use of their assets, both from an equipment perspective as well as a network perspective. And then having that sort of centralized command and control capability that SD-WAN provides them. >> Alright, so Stephanie the SD-WAN space, while most customers are familiar with it, it's not a monolithic space. It's not like there's five products on the market and there all very similar. There's a few different areas and even Cisco has two primary products that your offering. Can you give us a little bit about the lay of the land as to what use cases there are for the various pieces? How do you decide which there are? Or I know I've talked to customers that have had multiple SD-WAN solutions. >> That's a good point. So, when we initially started looking at SD-WAN, we kind of did a RFI on about 15 or so different vendors. The market has compressed a little bit since then through acquisitions and mergers but we at CenturyLink, in particular, recognized that one size does not fit all for all customers. So we wanted to offer a choice of services for our customers and most of the vendors have very similar kind of capability but some have other features that some don't. For example, the Meraki one, we typically have our branch customers, our customers that have many homogenous kind of like sites that they want something simple and something easy and not something that has a lot of bells and whistles. That's a perfect fit for them. It's very easy to install and get it up and running. Where something like Viptela that has a lot more capability and a lot more customization available would be perfect for some of our larger customers. The Telepher, for example, is we have a large install base of customers already using Cisco gear, the ASR and the ISR, where that's very attractive to those folks where they can just lay the software on top of their existing assets without having to do a full network swap out. And then our other option is our Versa which was our initial launch which was in 2016. Again, that's a full-featured SD-WAN capability. So it kind of depends and we try to bring the customers and have that conversation. Understand what theirs drivers are so that we can help tailor them and select and help them select one of the options that we have. >> Yeah I have to imagine that most of the time you're really helping the customer down there. It's not, "Okay there's a catalog, choose which one." That's some of the reason we would go to a CenturyLink is so that you listen to them, understand that, and you've helped filter a lot of that for them and maybe get them down to some of the just what size they're buying. >> Yep, and its not just the vendors. The pure play vendors talk about we call it the tip of the iceberg. So they talk about the SD-WAN capability. Where CenturyLink can add a lot of value to that is we also provide hybrid WAN solution and PLS, we also do. That's the public, the private section. And we recently, with the introduction of our SD-WAN services, started offering public connectivity in broadband and WIFI. So we can offer the mix of access along with the overlay service. We can be the single button to push for that but we also have had extensive history in managed services. So we have done managed routers and managed iads for our voice or data. And then the other big portion of that is we are a global provider, so for those customers looking to expand they're already in our global network. We've got one of the largest global backbones in the world. >> So let's give our audience a view from a customer who is in the process of needing to upgrade their network being able to future-proof it, as you said a few minutes ago, be ready for WIFI sites. Say it's a bank with many different retail branches. What would be the ideal solution for them? Would it be something more like Viptela that, is that more customizable? That in one branch you might need a much smaller pipe than you do in a much larger branch? What goes through that for a customer that's going through that upgrade process to modernize their network? >> Yep, so we try to have our technical experts go in and sit down with the customer and kind of do a question and answer session and try to understand what their business drivers are, what solutions that they're trying to solve for, and provide guidance and expertise along that lines and try to suss out. We also have what we call a Transformation Workshop where we like to bring customers in and have a kind of in-depth conversation, one-on-one conversation, show them some of the demos of the services that we offer and try to suss out what their real requirements are. And then, again, we can offer solutions and say, "Hey, based on the footprint that you have, "based on the connectivity options that you want, "based on your time frame, based on your cost," all of those things are factors to where would direct a customer. >> So giving them sort of a prescriptive, customized pathway for that upgrade based on all the analysis about what they, what their current lay of their WAN looks like and where they want to get to. >> Exactly, exactly. >> So, Stephanie I knew you'd do those in-depth discussions with customers. One the great opportunities about a show like Cisco is you've got 28,000 people here coming by the booth, coming into to sessions, so you get to speed date on some of these things, but what are some of the top things that they're asking for? What are some of the pain points that your hearing from customers? Is SD-WAN one of the top things bringing them to you? Or what are some of those key conversations? >> SD-WAN is, that's been kind of the industry term and so everybody knows a little bit about it and the crazy part is a lot people coming in have really done their homework and know a lot about the differences between the different platforms. Security is at the top of everybody's mind and that is another really big driver that everybody wants to have a conversation about. Security, how can I get a security patches out to my endpoints faster and better and quicker? How do I integrate my security with an SD-WAN solution? And so we see those a lot. We have answers for those questions and we can help folks figure that out. >> So here we are at the 30th annual Cisco customer partner event. A lot of evolution in the last 30 years. A lot of work has been done by Cisco to transition from just a hardware network gear provider to hardware, now software. Challenging for large organizations with the history and the product depth and the networking expertise-- >> Absolutely. >> that a company like Cisco has. I want to get your opinion. You've been with CenturyLink for a long time. CenturyLink and Cisco also go way back. >> Stephanie: Yep >> What are some of the advantages is CenturyLink seeing by Cisco's transition to more of a software provider? >> Cisco's always been a great hardware provider partner for us and I hadn't worked in that space too much. However, the folks that we have been working with, both on the Meraki side and Viptela side, super responsive, super willing to help. They're always available. What questions can we answer? Can we get in? Is there training that we can provide? They've been great. Super partners to work with. >> In terms of the customer reaction though, is it giving you guys a leg up, an advantage, that there is more of a software lead approach of looking at an old legacy company that is much more modernized? If you think of how Cisco would compete with a born-in-the-cloud company, what is that kind of competitive advantage like for you guys? >> That's an interesting thing too. So where Cisco has traditionally been a hardware provider, a lot of our customers are very familiar. They're CCIE network certified. It's funny trying to get those folks over. Some are very, its usually the younger set that's willing to go the whole software designed route. So its a challenge. Some folks are very, very much old school and they want to stick with the hardware-based solutions and they don't want to move to the digital world. However, things, cloud computing and all the applications moving to the cloud is kind of forcing them there. So its kind of a slow cycle on some of those and then some of their smaller groups. And we, the early adopters were the ones that were, "Yeah, let's just jump in "and go directly the software route," so it's-- >> Yeah, Stephanie you bring up a great point. I used to give presentations and when you would talk about rollout of technology in the network world, we would measure it in a decade. >> Right, yeah. >> It was like, "Okay, here comes 10 gig and there's the standard "and here's the piece," and all the things like that. What are some of those drivers in your customers because are they moving? You know we found, in general, they are moving faster. Speed is one of the things that we talk about. That agility to be able to respond. So what are some of those drivers from your companies that your work with that's helping them refresh faster, look at new technologies, and be open to some change? >> I think it's just keeping up with the industry. Like you said, it used to take years to do things and now its changing on a monthly and a weekly basis. And people are, I think, they're a little bit scared. It's like if we don't do something, we're going to get left behind. And it, the industry, is kind of forcing people to make those changes. Cost driver is another one that we see and people having to hit their fiscal numbers and everything else like that. But network transformation is not a simple thing. It's not a quick go in, run something. It's something that requires a lot of planning, a lot of analysis, and you want to, what do the old carpenters say? You measure twice and cut once, right? You want to plan, you want to plan, you want to plan and then you implement. So it does take time and people are getting there. When we first start talking about SD-WAN there was a lot of talk, it was a lot of talk, it was a lot of talk, it was a lot of talk and all a sudden then you start seeing, and it seems to be speeding up. People wanting to make decisions. We've had people that have had experiences and have shared experiences, and I think that has helped people make their decisions to actually go. >> What are some of the factors, like security, as an accelerator of a business that maybe might be on the slower side to migrate and start moving to a multi-cloud? Which a lot of businesses live in. Security also just the threat of being Uber-ized by a smaller company that isn't taking advantage-- >> They can move fast. >> Right, of whether it's network automation, SD-WAN, taking advantage of the expansion of 5G. What are some of those, how are some of the security and some of those other threats, are they catalysts that you guys are leveraging with customers to help them understand why the transition is imperative? >> I think they are. I think the iPhones and the laptop devices where you can click and have that immediate user experience, that's starting to build people's expectations that you can get things that quickly. And for the old legacy companies that aren't willing to get in there and to start thinking about doing that migration and change, they will get left behind. It's just where the industry is today. >> Great, Stephanie, why don't I give you the, give us the take-away from Cisco Live. You know, Cisco plus CenturyLink, what's that mean for customers? >> I'm sorry, I didn't catch all, I'm sorry. >> Cisco plus CenturyLink, the take-away for customers. >> Yeah, we're great partners. We've been partners for years. We continue to be partners. I think we bring a great marriage of the SD-WAN services and our hybrid network and all of our managed services together. Lots of years of experience and we love helping our customers, both of us. We want to delight and provide that great customer experience. >> Well. Stephanie, it's been a pleasure to have you on the Cube talking about all things SD-WAN, marketplace, the drivers, the opportunities, and the benefits. We appreciate your time. >> Thanks so much you guys. Have a great show. >> Thank you. For Stu Miniman, I'm Lisa Martin. You're watching the Cube Live from Cisco Live, San Diego. (electronic music)

Published Date : Jun 12 2019

SUMMARY :

Brought to you by Cisco and it's eco system partners. and Stu and I are pleased to welcome to the Cube Yeah, so welcome to the buzzy dev nut zone. We've heard a lot the last few days Some of the customer drivers that we see on the market and there all very similar. and most of the vendors have very similar kind of capability That's some of the reason we would go to a CenturyLink Yep, and its not just the vendors. of needing to upgrade their network being able of the services that we offer and try to suss out based on all the analysis about what they, coming by the booth, coming into to sessions, and know a lot about the differences and the networking expertise-- CenturyLink and Cisco also go way back. However, the folks that we have been working with, and all the applications moving to the cloud and when you would talk about rollout of technology Speed is one of the things that we talk about. Cost driver is another one that we see that maybe might be on the slower side to migrate and some of those other threats, And for the old legacy companies Great, Stephanie, why don't I give you the, of the SD-WAN services and our hybrid network to have you on the Cube talking Thanks so much you guys. Thank you.

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Stephanie Cox & Matthew Link, University of Indiana | Citrix Synergy 2019


 

>> live from Atlanta, Georgia. It's the two you covering. Citric Synergy. Atlanta 2019. Brought to You by Citrix >> Welcome back to the Cubes. Continuing coverage of Citrix Energy, 2019 from Atlanta, Georgia. I'm Lisa Martin. My co host for the event is Keith Townsend and Keith and I are excited to talk. Teo, one of the Citrix Innovation Award nominees, Indiana University, with a couple of folks from Indiana University joining us. Stephanie Cox, manager, a Virtual Platform Services and Mat Link, associate vice president of research Technologies Guys, thanks so much for joining Keith and me, Thank you. And congratulations on Indiana University being nominated for an innovation award. I was talking with Tim in hand there CMO yesterday, saying there was over a thousands nomination. So to even get down to being in the top three is pretty exciting stuff. Talk to us a little bit about Indiana University. Us. This is a a big, big organization. Lots of folks accessing the network through lots of devices. Matt, let's start with you. Give us that picture of what's going on there. Yes, so I >> u is about 130,000 students across seven campuses. We've got about 20,000 faculty and staff across those seven campuses. One of the things that makes us a little unique is were consolidated shop. So there are 1,200 of us and I you that support the entire university and all the campuses and anyone point in time, there could be 200,000 devices touching the network and using those services. >> That's a Big 70 talk. Talk to us about your virtual a footprint. How How big is the location? Data centers? What's the footprint? >> Well, we have two data centers. One of them is in Indianapolis, which is my home. It's one of our larger campus is calling Indiana University Purdue University affectionately, I U P y. There is a data center there, but our large danna center is at the flagship campus, which is in Bloomington, Indiana, >> and to support 100,000 plus people and to hundreds of any given the 2nd 200,000 devices. How have you designed that virtual infrastructure to enable access to students, faculty, etcetera and employees. >> So from the network perspective, we have several network master plans that have rolled, and we're in our 2nd 10 year next network master plan, and the network master plan is designed to continually upgrade the network. Both the physical network, the infrastructure and the wireless network in our last 10 year budget, for that was around $170,000,000 of investment just to support the network infrastructure. And then Stephanie rides on top of that as the virtual platform with Citrix to deliver the images anywhere on campus. Whether it's wirelessly or whether it's connected via network connection >> kill seven campuses is already a bit. If you ever look at a map, Indiana sits Christ map damp in the middle of the country. It's a big space. Right before we hit record, we were just talking about that. Drive off I 65 from Indianapolis to Chicago is just a lot of rules area, and I'm sure part of your mission is to make sure technology and education is the sensible thing. Everyone in Indiana talk to us about the challenges of getting connective ity and getting material virtual classrooms to those remote areas. >> Yeah, it's really one of the major strengths of our partnership with Citrix. They are really at the premiere Remote solution connectivity offering at Indiana University. So we built our citrix environment. Teo encompass everyone. We wanted to make sure we could have enough licenses and capacity for all of our 130,000 faculty, staff and students to use the service. Do they all show up at the same time? No, thank goodness. But we do offer it to everyone, which is I found in the education. You're in a very unique tin Indiana University. Another another thing to have consolidated I t. And then to be able to offer a service like ours to everyone and not just restricted to specific pockets of the university. With that, we've been able to them extend offering of any application or something that you might need for a class to any of our other remote location. So if you're a student who is working in or go, you know, lives in rule Indiana and you want Teo get in Indiana University degree, you can do that without having to travel to one of our campus sites or locations. We I have a very nice of online program, just a lot of other options that that we've really tried Teo offer for remote access. >> So Citrix has really enabled this. I think you call it the eye. You anywhere. Indiana University anywhere Program. Tell us about opening up this access to everyone over the time that you've been ascetics Customer, how many more people can you estimate have access now, that didn't hurt not too long ago. >> Yeah, I think initially, and Matt was probably no more before me before I Even before I even came on the scene, I believe that the original youth case was really just trying. Teo, extend what we were already doing on premise in what we call just our Indiana University lab supported areas. Right? So just your small, like the old days you would goto your college campus and you go into your computer lab with it. We just really wanted Teo the virtual Isar expand the access to just those specific types of APS and computers. And that was an early design. Since then, over the years, we've really kind of, you know, just really expanded. Really. We used the Citrix platform to redesign and distribute how we deliver the applications and the virtual desktops. So now not only do we service those students who would who would normally come onto the campus just to use your traditional computer lab. Wait do a lot, especially programs for other schools. Like we, we deliver a virtual desktop for our dentistry. Students may actually use that whole platform in the dental clinic to see real patients are third tier. Third year doctors do that way. Also replicated that same thing and do it in our speech and hearing sciences for our future audiologist. We have certain professors that have wanted to take a particular course that they're teaching and extended to different pockets all over the world. So we might host a class from Budapest or Africa somewhere else. You know, wherever that faculty and staff has three sources that they know they need to get to in their content already virtualized. We worked to make that happen all the time. >> That's a lot of what you just said is first of all, initially, maybe before Citrix being able to provide support in the computer labs for your maybe seven core campuses. Now you get your giving 130,000 plus individuals anywhere, anytime. Access that is the ex multiplier on that is massive, but you're also gone global It's not just online, it's you're able to enable professors to teach in other parts of the world where it was before. It was just people that were in Indiana, but master and and >> you're just limited by the network. So that's the only draw back. When you go to the rule areas way out, you're just limited by the network. You know, the initial program was really you really thought of as a cost saving measure way we're goingto put thin clients out. We wouldn't have to do life cycle replacements for desktop machines that were getting more expensive and more expensive, you know, 10 years ago, and now the way that we look at it is I you wants to provide services across the breath of the organization and make those services at no additional cost and open to everybody open access to everybody. The desktop, for example, is one of you know Stephanie is, is the brainchild behind the desktop, took three years of dedicated hard work to create an environment to support the visually impaired. >> Talk to us more about that because that was part of the video and that captured my intention immediately. What is 80 accessibility, technology, accessibility technology is inaccessible to get that. So I'm just, you know, hundreds thousands, and not just those that are sight and hearing. >> So one of the things then I think it's just a wonderful thing about working at a university. We're able to buy software licenses in a big quantity, large quantity, right? Because we have that kind of buying power software that I normally never would see or get access to, even in my private sector. Administer tricks engineer for a long time. But when you come to a university and then you're selling or you're getting licenses for 50 60 70 80,000 you get to see some of these products that you don't normally as a regular consumer. You'd like it, but you know you can't really afford it. So with that, when we started looking at all of the different applications that they could buy in a large quantity site licence, you know, the way we thought, Oh my goodness, let's virtualized these and make sure everybody gets access to them and the ones that were really attractive to us, where the ones for the visually impaired, sure they're in niche and They're very, very expensive, but we but let's just try it. We'll see how well they perform in a virtual environment. And with that, our Citrix infrastructure underneath they performed quite well. Plus, the apse have evolved a great deal over just the last four years. So we're really proud to offer our virtual desktop to our blind students. We had to work really hard to make sure that the speech recognition software was fast enough for them. It turns out that blind people listen to speech really, really, really, really, really fast, and so we had to make sure that we kept our platform while we're working on it to keep it sped an updated so that it's usable to them right since functional to me. But they really need it to be like, 10 times faster. I found that out after even shooting the award video and spending even more time with them, I thought, Why don't you guys tell me it was slow to you? But yeah, it's, uh, it's been an honor, really, Teo to be up for that award. But tow work with those students to learn more about their needs to learn more about the city different applications that people write for people with old disabilities. I hope we can do more in that space. >> So the young man in it and why I don't remember his name. >> Priscilla, Bela, Chris. So >> share just quickly about Chris's story. >> Yeah, and he watches the Cube. I hope he's listening because I >> think I think this whole >> kind of >> really put a little bit icing on the cake because you're taking an environment and urine empowering a student to do what they want to do versus what they are able or not able to do. So Christmas story is pretty cool of where he wants to go with his college career. >> Yeah, I won't say he's a big, you know, proponent, user of the virtual desktop, because he's just so advanced. He's like, way beyond everything We're learning from him. But he is Indiana University's believe. I'm saying this right, very first biomedical chemical engineer who is blind and fourth completely blind, Yes, wow and is quite a brilliant young man, and we were lucky to have him be r. He will test anything for me and and Mary Stores, who was featured in the video Chris Meyer. And he's also featured in the video. Gonna remember their names? I mean, it's a hole. I'm lucky to have a whole community of people that will Yeah, they know where we want to be there for them. We don't always get it right. What? We're gonna listen and keep trying to move forward. So >> But if you kind of think of even what a year or two ago not being able to give any of this virtualized desktop access to this visually impaired and how many people are now using it? >> Um, well, we open it up to everyone. We have hundreds and hundreds of users, but we know not everyone who uses it is blind. People like you can use it if you want it or not way. Don't really understand why some people prefer to use that one over there. The other But it does have some advantages. I mean, there there are different levels of sight impairment, too, as I've just been educated right. There are some people who are just at the very beginning of that journey of just losing their site. So we if if that happens to be, you know, someone that we can extend our environment to. It's probably better t use it now and get really familiar with that issue. Transition to losing your sight later in life. I've been told so >> So you ask a little bit about the scope of of the desktop, so I'll layer on a little bit of the scope of eye you anywhere. Last year, around 65,000 individual unique users over well over 1,000,000 Loggins and 8,000,000 and the average session time was around 41 minutes. That's so our instructors teach with it. Are clinicians treat people with it? We've built it in two. How's Elektronik protected health data? Er hit. The client's gonna be critical, writes the hip a standard because you can't say compliance anymore because you can't be compliant with a standard change. That wording several times way are very familiar with meeting hip. A standard we've been doing that for about 12 years now with where I came from was the high performance computing area of the university. So that's my background, and I >> so one thing we didn't get a chance to talk, uh, touch 12 100,000 devices were a citrus citrus is a Microsoft partner. Typically, when those companies think of 200,000 users, they think for profit. There's, you know, this is a niche use case for 200,000 users. Obviously, you guys have gotten some great pricing as part of being a educational environment. What I love to hear is kind of the research stories, because the ability to shrink the world, so to speak, you know, hi HPC you're giving access to specialized equipment to people who can't get their normally. You know, you don't have to be physically in front of GPU CPUC century. What other cool things have been coming out of the research side of the house because of the situation able? >> So this is cool. I mean, >> I get it. So >> So one of our group's research software solutions stole the idea from Stephanie to provide a research desktop. Barr >> imitation. Highest form of flattery, Stephanie. Absolutely. So what we've >> done is is is we always continually to try to reduce the barriers of entry and access? Uh, you know, supercomputing. Before you had to be this tall to ride this ride. Well, now we're down to here and with the hopes that will get down even farther. So what we've done is we've taken virtualized desktop, put it in front of the supercomputers, and now you can be wherever you want to be and have access to HPC. Untie you and that's all the systems. So we have four super computers and we have 40 petabytes of spinning disc ah, 160 petabytes of archival tape library. So we're we're a large shop and, you know, we couldn't have done it without looking at what Stephanie has done and and really looking in that model differently. Right? Because to use HPC before, you'd have to use a terminal and shell in and now, looking at you anywhere that gives you just the different opportunity to catch a different and more broad customer base. And I call on customers because we try to treat him as customers and and helps the diversity of what you're doing. So last year alone, our group research technologies supported a 151 different departments way were on 937 different grants, and we support over 330 different disciplines. Uh, it I you and so it's It's deep, but it's also very broad. First, larger campus we are. And as a large organization as we are, you know, we're fairly nimble. Even a 1,200 people. >> Wow! From what I've heard, it's no wonder that what you've done at Indiana University has garnered you the Innovation Award nominee. I can't imagine what is next. All that you have accomplished. Stephanie. Matt, thank you so much for joining Key to me. We wish you the best of luck and good a citric scott dot com Search Innovation Awards where you can vote for the three finalists. We wish you the very best of luck will be waiting with bated breath tomorrow to see who wins. >> So thank you very much. Thank you. Thank you. Keep >> our pleasure for Keith Townsend. I'm Lisa Martin. You're watching the Cube live from Citrix. Synergy 2019. Thanks for watching

Published Date : May 24 2019

SUMMARY :

It's the two you covering. So to even get down to being in the top three So there are 1,200 of us and I you that support Talk to us about your virtual a footprint. at the flagship campus, which is in Bloomington, Indiana, and to support 100,000 plus people and to So from the network perspective, we have several network master Everyone in Indiana talk to us about the challenges of getting connective of any application or something that you might need for a class to any of I think you call it the eye. sources that they know they need to get to in their content already virtualized. That's a lot of what you just said is first of all, initially, So that's the only draw back. So I'm just, you know, hundreds thousands, and not just those that are sight and hearing. the award video and spending even more time with them, I thought, Why don't you guys tell me it was slow to So Yeah, and he watches the Cube. really put a little bit icing on the cake because you're taking an environment Yeah, I won't say he's a big, you know, proponent, user of the virtual desktop, because he's just so advanced. you know, someone that we can extend our environment to. so I'll layer on a little bit of the scope of eye you anywhere. the world, so to speak, you know, hi HPC you're giving access to So this is cool. So the idea from Stephanie to provide a research desktop. So what we've that gives you just the different opportunity to catch a different and more broad customer We wish you the very best of luck will be So thank you very much. our pleasure for Keith Townsend.

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Stephanie Cox & Matthew Link, Indiana University | Citrix Synergy 2019


 

>> Live from Atlanta, Georgia. It's theCUBE covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Welcome back to theCUBE's continuing coverage of Citrix Synergy 2019 from Atlanta, Georgia. I'm Lisa Martin, my co-host for the event is Keith Townsend and Keith and I are excited to talk to one of the Citrix Innovation Award nominees, Indiana University. We have a couple of folks from Indiana University joining us, Stephanie Cox, Manager of Virtual Platform Services and Matt Link, Associate Vice President of Research Technologies. Guys, thanks so much for joining Keith and me. >> Thank you Lisa. >> Thank you. >> And thank you Keith. >> It's an honor to be here, yeah. >> And congratulations on Indiana University being nominated for an innovation award. I was talking with Tim Minahan, their CMO yesterday saying there was over a thousand nominations, so to even get down to being in the top three is pretty exciting stuff. >> Yeah. >> Awesome. >> So talk to us a little bit about Indiana University. You guys, this is a big, big big organization lots of folks accessing the network through lots of devices. Matt, let's start with you, give us that picture of what's going on there. >> Yeah, so IU is about 130,000 students across seven campuses. We got about 20,000 faculty and staff across those seven campuses. One of the things that makes us a little unique is, we're a consolidated IT shop. So, there are 1200 of us at IU that support the entire university and all the campuses. And at any one point in time, there could be 200,000 devices touching the network and using those services. >> Big, that's big. >> Big. >> Wow, that is big. Stephanie talk, talk to us about your virtual imp, footprint and how big is the location. How many data centers? What's the footprint? >> Well we have two data centers, one of them is in Indianapolis which is my home. It's one of our larger campuses, we call it Indiana University Purdue University, affectionately IUPUI. There is a data center there but our larger data center is at the flagship campus which is in, Bloomington, Indiana. >> And, to support 100,000 plus people and, you said at any given second, 200,000 devices. How have you designed that Virtual Integral Structure to enable access to students, faculty, et cetera and employees? >> So from the network perspective we have several network master plans that have rolled and we're in our second 10 year network master plan. And, the network master plan is designed to continually upgrade the network, both the physical network, the infrastructure, and the wireless network. In our last 10 year budget for that was around $170 million of investment just to support the network infrastructure. And then, Stephanie rides on top of that as the Virtual Platform with Citrix to deliver the images anywhere on campus, whether it's wirelessly or whether it's connected via network connection. >> Yep. >> So seven campuses is already a bit. If you ever look at a map, Indiana sits right smack dab in the middle of the country. It's a big space, right before we hit record, we were just talking about that drive up I-65 from Indianapolis to Chicago is just, a lot of rural area and, I'm sure part of your mission is to make sure technology and education is accessible to everyone in Indiana. Talk to us about the challenges of getting connectivity and getting material, virtual classrooms to those remote areas. >> Yeah, that's really one of the major strengths of our partnership with Citrix. They are really the premier remote solution connectivity offering at Indiana University. So, we built our Citrix environment to encompass everyone. We wanted to make sure we could have enough licenses and capacity for all of our 130,000 faculty, staff, and students to use the service. Now do they all show up at the same time? No, thank goodness. >> Thankfully. >> But we do offer it to everyone which is, I found, in the education arena, very unique to Indiana University. Another thing to have the consolidated IT and then to be able to offer a service like ours to everyone and not just restrict it to separate pockets of the university. With that, we've been able to then extend, offering of any application or something that you might need for a class to any of our other remote locations. So, if you're a student who is working in or lives in rural Indiana and you want to get an Indiana University degree, you can do that without having to travel to one of our campus sites or locations. We have a very nice online program and just a lot of other options that we've really tried to offer for remote access. >> So Citrix has really enabled this, I think you call it the IUanyWare, Indiana University Anywhere Program. >> Yeah. >> Tell us about opening up this access to everyone over the time that you've been a Citrix customer how many more people can you guesstimate have access now that didn't not too long ago? >> Yeah, I think initially, and Matt would probably know more before me, before I even came on the scene, I believe that the original use case was really just trying to extend what we were already doing on premise in what we call just our Indiana University lab supported areas. Right, so just your small, like the old days when you would go to your college campus and you go into your computer lab, we just really wanted to virtualize, or expand, the access to just those specific types of apps and computers. And that was an early design, since then over the years we've really kind of, just really expanded. Really use the Citrix platform to redesign and distribute how we deliver the applications and the virtual desktops. So, now not only do we service those students who would normally come onto the campus just to use your traditional computer lab, we do a lot of specialty programs for other schools. Like we deliver a virtual desktop for our dentistry students, they actually use that whole platform in the dental clinic to see real patients our, third tier, third year doctors do that. We also replicated that same thing and do it in our speech and hearing sciences for our future audiologists. We have certain professors that have wanted to take the particular course that they're teaching and extend it to different pockets all over the world so we might host a class from Budapest or Africa somewhere else, wherever that faculty and staff has resources that they know they need to get to and their content already virtualized. We work to make that happen all the time. >> That's, a lot of what you just said is first of all, initially, maybe before Citrix being able to provide support in the computer labs for your maybe seven core campuses, now you're giving 130,000 plus individuals anywhere, anytime access. That is, the X multiplier on that is massive. But you're also gone global, it's not just online, you're able to enable professors to teach in other parts of the world, where it was before it was just people that were in Indiana. >> Right. >> That's massive. >> And you're just limited by the network. So that's the only drawback when you go to the rural areas way out, you're just limited by the network. The initial program was really, really thought of as a cost saving measure. We were going to put thin clients out, we wouldn't have to do life cycle replacements for desktop machines that were getting more expensive and more expensive 10 years ago, and now the way that we look at it is IU wants to provide services across the breadth of the organization, and make those services at no additional cost. And open to everybody. Open access to everybody, the AT desktop, for example is one of, Stephanie is, the brainchild behind the AT desktop. Took three years of dedicated hard work to create an environment to support the visually impaired. >> Talk to us more about that, because that was part of the video and that captured my attention immediately. What is AT? >> Accessibility. >> Technology. >> Technology. >> Accessibility Technology. >> Accessible, is it Accessible Technology? >> Accessible Technology. >> Yeah, I always get that wrong. (laughs) >> So, hundreds, thousands, and not just those that are sight and hearing. >> Right. >> Yeah, so one of the things that I think was, it's just a wonderful thing about working at a university, we're able to buy software licenses in a big quantity, large quantity right, because we have that kind of buying power. Software that I normally never would see or get access to even in my private sector, I've been a Citrix engineer for a long time, but when you come to a university and then you're selling or you're getting licenses for 50, 60, 70, 80,000, you get to see some of these products that you don't normally, as a regular consumer, (laughs) you like it but you know you can't really afford it. So, with that when we started looking at all of the different applications that they could buy in a large quantity site license way we thought oh my goodness, let's virtualize these and make sure everybody gets access to them. And the ones that were really attractive to us were the ones for the visually impaired. Sure they're a niche and they're very, very expensive but we thought let's just try it. We'll see how well they perform in a virtual environment and with our Citrix infrastructure underneath they performed quite well, plus the apps have evolved a great deal over just the last four years. So, we were really proud to offer our virtual desktop to our blind students. We had to work really hard to make sure that the speech recognition software was fast enough for them. It turns out that blind people listen to speech really, really, really, really, really, fast and so we had to make sure that we kept our platformer working on it, to keep it sped and updated so that it's usable to them, right. Seems functional to me, but they, it really needed to be like, 10 times faster. After I found that out, after even shooting the award video and spending even more time with them I thought, why did you guys tell me it was slow to you? But yeah it's been an honor, really, to be up for that award but to work with those students, to learn more about their needs, to learn more about the different applications that people write for people with all disabilities. I hope we can do more in that space. >> So the young man, in, at IUPUI. >> Yes. >> I don't remember his name. >> Chris Lavilla. >> Chris. >> Yes. >> So share, just quickly about Chris' story. >> If, he watches theCUBE I hope he's listening 'cause I think he's kind of remarkable. >> I think this'll really put some, a little bit of icing on that cake because you're taking an environment and you're empowering a student to do what they want to do, versus what they are able or not able to do, so Chris' story is pretty cool of where he wants to go with his college career. >> Yeah, now I won't say he a big proponent user of the virtual desktop because he's just so advanced, he's like way beyond everything. We're learning from him, but he is Indiana University's I believe I'm saying this right, very first biomedical chemical engineer who is blind since birth, completely blind, yes. >> Wow. >> He is, and he's quite a brilliant young man and we're lucky to have him be our, he will test anything for me, and Mary Stores, who's featured in the video Chris Mire, he's also featured in the video I got to remember their names, I mean, it's a whole, I'm lucky to have a whole community of people that will. Yeah, they know, we want to be there for them, we don't always get it right, but we're going to listen and keep trying to move forward, so. >> But, if you kind of think of, even a what, a year or two ago, not being able to give any of this virtualized desktop access to the visually impaired and how many people are now using it? >> Well we open it up to everyone. We have hundreds and hundreds of users but we know not everyone who uses it is blind. People can, you can use it if you want it or not. We don't really understand why some people prefer to use that one over any other but it does have some advantages, there are different levels of sight impairment too, as I've just been educated right. There are some people who are just at the very beginning of that journey of just losing their sight so, if that happens to be someone that we can extend our environment to it's probably better to use it now and get really familiar with that as you transition to losing your sight later in life, I've been told so. >> So you asked a little bit about the scope of the AT desktop, so I'll layer on a little bit of the scope of IUanyWare. Last year around 65,000 individual unique users over, well over a million logins and-- >> 1.4 million. >> 1.4 million. And the average session time was around 41 minutes. >> That's long. >> So. >> Yeah. >> Our instructors teach with it, our clinicians treat people with it, we've built it to house electronic protected health data. >> So HIPA compliance, got to be critical, right? >> It meets the HIPA standard. >> Right. >> Because you can't say compliance anymore because you can't be compliant with a standard. (Stephanie laughing) They've changed that wording several times in the course of the year. >> We know this. >> So, and we are very familiar with meeting the HIPA standard, we've been doing that for about 12 years now, with, where I came from was the high performance computing area of the university so that's my background that I. >> So, one thing we didn't get a chance touch on, 200,000 devices. We're at Citrix, Citrix is a Microsoft partner. Typically when those companies think of 200,000 users they think for profit, this is a niche use case for 200,000 users. Obviously you guys have gotten some great pricing as part of being an education environment. What I would love to hear is, kind of the research stories because the ability to shrink the world, so to speak high HPC, you're giving access to specialized equipment to people who can't get there normally, you have to be physically in front of GPUs, CPUs, et cetera. What other cool things have been coming out of the research side of the house because of the Citrix enablement? >> So, this is cool I mean. >> You got to, got to. (laughs) >> Right, so one of our groups, Researched Software and Solutions stole the idea from Stephanie to provide a research desktop. >> Borrowed. >> Borrowed. >> Imitation, highest form of flattery, Stephanie. >> That's right, absolutely. So what we've done is we always continually to try to reduce the barriers of entry and access. Supercomputing before, you had to be this tall to ride this ride, well now we're down to here. And, with the hopes that we'll go down even farther. So what we've done is we've taken a virtualized desktop, put it in front of the supercomputers, and now you can be wherever you want to be, and have access to HPC at IU. And that's all the systems, so we have four supercomputers And we have 40 petabytes of spinning disc, 160 petabytes of archival tape library so, we're a large shop. And, we couldn't have done it without looking at what Stephanie has done and really looking at that model differently, right? Because to use HPC before you'd have to use a terminal and shell in. And now, looking at IUanyWare, that gives you just the different opportunity to catch a different and more broad customer base. And I call them customers because we try treat them as customers >> Right. >> And it helps the diversity of what you're doing so last year alone our group, Research Technologies supported 151 different departments. We were on 937 different grants. And we support over 330 different disciplines at IU and so it's deep, but it's also very broad, for as large a campus we are and as large an organization as we are, we're fairly nimble even at 1200 people. >> Wow, from what I've heard it's no wonder that what you've done at Indiana University has garnered you the Innovation Award nominee. I can't imagine what is next with all that you have accomplished. Stephanie, Matt, thank you so much for joining Keith and me, we wish you the best of luck. You can go to Citrix.com, search Innovation Awards where you can vote for the three finalists. We wish you the very best of luck. We'll be waiting with bated breath tomorrow to see who wins. >> So will we, thank you very much. >> Thank you. >> Thank you Lisa. Thank you Keith. >> Our pleasure. For Keith Townsend, I'm Lisa Martin. You're watching theCUBE live from Citrix Synergy 2019. Thanks for watching. (upbeat techno music)

Published Date : May 22 2019

SUMMARY :

Brought to you by Citrix. and Keith and I are excited to talk to one of the Citrix a thousand nominations, so to even get down to being So talk to us a little bit about Indiana University. One of the things that makes us a little unique is, Stephanie talk, talk to us about your virtual imp, but our larger data center is at the flagship campus And, to support 100,000 plus people and, So from the network perspective we have Talk to us about the challenges of getting 130,000 faculty, staff, and students to use the service. and then to be able to offer a service like ours to everyone I think you call it the IUanyWare, in the dental clinic to see real patients our, third tier, That's, a lot of what you just said is and now the way that we look at it is Talk to us more about that, Yeah, I always get that wrong. that are sight and hearing. After I found that out, after even shooting the award I think he's kind of remarkable. to do what they want to do, versus what they are able of the virtual desktop because he's just so advanced, I got to remember their names, I mean, it's a whole, if that happens to be someone a little bit of the scope of IUanyWare. And the average session time was around 41 minutes. to house electronic protected health data. in the course of the year. So, and we are very familiar with meeting because the ability to shrink the world, so to speak You got to, got to. to provide a research desktop. just the different opportunity to catch a different And it helps the diversity of what you're doing we wish you the best of luck. Thank you Lisa. Thanks for watching.

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James Ilari, Alectra & Stephanie Schiraldi, Alectra | Nutanix .NEXT Conference 2019


 

>> live from Anaheim, California. It's the queue covering nutanix dot next twenty nineteen. Brought to you by Nutanix. >> Welcome back, everyone to the cubes. Live coverage of nutanix dot Next here in Anaheim, California. I'm your host, Rebecca Night, along with my co host, John Furrier. We have two guests for this next segment. We have Stephanie Scare Aldi. She is the director of operations and support for Electra. Thank you so much for coming on the cues. And we have James Ellery, director innovation and governance at Electra. Thank you, James. >> Thanks for having us. >> So I want to start with you, James. Tell our viewers a little bit about electorates. Ontario, based for our viewers who are not familiar. What do what do you do? What do you about? >> So we are a energy solutions provider in Ontario, Canada. Basically, we are an ldc a local distribution company, but we're trying to transition from the poles and wires into really energy solutions provider. We We're about a million customers are approaching a million customers right now and wear actually four utility companies that came together to form Electra. And we just recently emerged with a fifth now, so We're rapidly growing in the in Ontario, and we have very much more growth to come. >> It's all those mergers. How does I t all fit together? Different systems, all kind of legacy. Mishmash. What's what's What's the environment like? >> So the environment Right now there is a tremendous amount of data center Stephanie's actually leading our data center consolidation project. There are tremendous amount of data centers across a fast geographical location, and we're using NUTANIX actually to consolidate everything onto a single platform right now. So there's a lot of work to be done. Definitely a lot of integration to be done, but we're confident that we'LL get it all done and we want to move to new tanks by phone. >> So right now we have about, I think, eleven data centers and we've been mandated to get down to two. So we're use up utilizing technology like nutanix too kind of, you know, get down and scale ability. So wait >> here for a lot of customs from nutanix around, how it's been a great system for manageability and also getting rid of some older gear, whether it's old GMC Cem Dale stuff. So we're seeing a lot of, you know, go from twenty four racks to six. This is kind of the ratios pushing stuff from eight weeks. Tow two hours, new operational benefits. How close are you guys up to that now? Because you get all this stuff you consolidating down the merger's makes a lot of sense. What's some of the operational benefits you seeing with nutanix That you could share, >> I think, is a per example that you just gave. We're working on a front office consolidation project and we're moving. We're doubling our VD i environment, and we actually just got three new nodes in a few weeks ago and it took a matter of two hours to get everything spun up and ready. So traditionally, it would take us weeks of planning and getting someone in and specialized technicians and now make a phone call a few hours and it's done. So you see, like already the benefits of you know growing are our infrastructure, and it's enabling us to merge faster with different utilities. >> I want to actually back up now and talk about the journey to Nutanix and talk about life before nutanix and now life after it. What was that what were sort of the problems that you were trying to solve? And why was Nutanix the answer >> So I could speak to that way back in twenty fifteen? We're looking at video, and we're implementing it across organization. And we're running its issues on three tier architecture where whenever there was a performance issue, we would talk to the sand guy and we'LL talk to the server guy and we talked to the networking guy. And although everyone's trying to help everyone sort of looking at each other, saying, Okay, where is this problem? Really, really land? And the issue with that is, as you guys know what VD I I mean, user performance and user experience is key, right? That's King. So you know, when you're trying to take away someone's physical desktop and give him a virtual desktop, they want the same or better performance. And anytime we had an issue, we had to resolve it rapidly. So when we look at everything we said, Okay, this is okay, but it's not sustainable for the scale, ability in the growth that we had, especially because with, you know, ah media environment, its scales very rapidly and If the application scares wrapped scales rapidly, you need the infrastructure to scale as rapidly as your application and perform just as good. So what happened was we looked at nutanix. We said, You know what? If we can look at a single pane of glass to figure out where any performance issues lie, that makes operations much more operations, that management administration much easier for us. And that's really where we started our journey with nutanix. We went from a three note cluster to start and we're up to fourteen nodes now, just in our VD I cluster alone. >> And what about about the future? What? What is the future hold in terms of this partnership, >> I think for us were really hoping to go to fully H V in the next six or twelve months. Uh, I know, James. We're really pushing it and trying to get that in because, you know, way want to simplify our technologies. And I think by moving to a Chevy, I think, you know, we'LL save some money. >> So what we're looking to do with Nutanix isn't you know, there's been a lot of wins for us moving to NUTANIX, especially with regards to support Support's been fantastic. I mean, you know, although we don't like to call support because I mean something's probably wrong way love calling you guys because every time we call support, it's, you know, everyone's always there to help. And I'm not only the support from the support team, but also through our venders or a vendor are counts, you know, I've or who we love way love the whole team because they're there for you to help me. We run into some pretty significant issues. One of the things that happened to us was we had some changing workloads in our media environment. Through no fault of nutanix is you know when when we introduce some additional workloads, we didn't anticipate some of the challenges that would come along with introducing those workloads. And what happened was we filled up our hot storage rather rapidly. Nutanix came in right away because we call them up and said, You know, we're having big performance issues. We need some help and they brought in P E O. C notes to help us get over the hump. They were there for us. I mean, within a week, they got us right back up and running and fully operational and even better performance than we had before. So until we could get our own notes procured and in house, which was fantastic, I've never seen that levels from another organization. So we love the support from Nutanix on DH. Since then, we've grown. So we've actually looked at nutanix for General server computer platform as well. And we're doing Christ Cross hyper visor Support across high provides a replication Sorry from production to D. R. So we're actually running Acropolis. Indy are running GM. Where in production. But has Stephanie alluded to? We're trying to get off of'Em were completely, you know, everyone talks about the attacks. We don't like the V attacks with Phil on a baby anywhere for something that's commodity. And we're looking to repurpose that money so we can look at other things such as you ten exciting way very much. Want to move to the cloud for D R. And that's sort of our direction. >> OK, so you guys have the m we're now, not you Not yet off the anywhere, but you plan to be >> playing to be Yes. >> Okay, So what's it going to look like How long is that gonna take or what is that? We're >> really hoping at the next six to twelve months. So I think we're really gonna push hard at. We've been talking to some people and it seems like it's gonna be a pretty smooth transition, So looking forward to it. And I think our team is really looking for true as well. That's >> one of the challenges right. That the team is really is one of the challenges because we've merged and there's a lot of change going on organization. It's difficult to throw more change at people, right? There's a whole human component, Teo everything that we do. So you know Well, that's why we moved GHB into d. R. To start because we said, You know what, give the operations folks time to look at it, timeto play with it, time to get familiar with it. And then we'LL make the change in production. But like we said, you know, moving over age, he's going to save us a ton of money like a ton of money that we can repurpose elsewhere to really start moving the business forward >> about operations for second. Because one of the things you told earlier is that consolidation? You're leading the project at the VD. I think we're new workloads. There's always gonna be problems. Always speed bumps and hot spots, as they say. But what has changed with the advent of software and Dev ops and automation starts to come into it. How do you see that playing out? Because you tell this is a software company. So you guys knew them when they were five years ago Now, But this is the trend in I t. Operations have clean program ability for the infrastructure. What's your view on that? What's your reaction to that? And you guys getting theirs at the goal >> that is >> like part of our road map. And we're gonna be working with our NUTANIX partners t build a roll map, actually, the next coming few weeks. So because we are emerging all these utilities, we'd love to get automation and orchestration, and we actually have another budget in three years. So it is on our road map. We want to get there right, because we want to have her staff work on business strategy. We don't want their fingers to keyboards. We want them actually working with the business and solution ing and not, you know, changing tapes or working on supporting a system when we don't have to do that anymore. Because now there's so it's so much simpler running any tennis environment. I know James is saying a lot of change for employees. There used to be M where Nutanix is new to a lot of them. I think they're quickly seeing the benefit of managing it because now they get to do things that are a little bit more fun than just managing an environment. >> And this is point cost to repurpose what you're paying for a commodity for free. And if you can repurpose and automata way the manual labor that's boring and repetitive, moving people to a higher value activity. >> Exactly. And we love the message we heard today about being invisible. >> Yeah, I love that >> way, Lovett. I mean, that's essentially we wanted. The business doesn't really care what you're doing behind the scenes, right? They just want their applications to work. They want everything to work seamlessly. So that's what we want to get, too. We want to get to that invisibility where we're moving the business, Ford. We're enabling them through technology, but they don't need to worry about the back end of what's actually going on. >> Stephanie, I want to ask you about both a personal and professional passion of yours, and that is about bringing more women into technology. You are a senior woman in technology, and we know we know the numbers. There is a dearth of female leaders. There is a dearth of underrepresented minorities, particularly in in high level management roles. So I want to hear from you both from a personal standpoint in terms of what your thoughts are on this problem and why, why we have this problem and then also what you, an elector are doing to remedy it. >> Yeah, I think you know, I'm really lucky to work at Electra because we actually have a diversion inclusion committee that I'm part of with a lot of stem organizations. But I think you know, there's all these great programs going on, and but I still don't see enough women in this in this industry, and I think a lot of it stems from you walk into a room, and if you're the only one of you it's really intimidating. So I think we really need to work on making people feel more welcome. You know, getting more women in cedar senior leadership positions and kind of bring them to events like this, gaming them on the Internet. Going to the university is going to the schools and talking to education and talking to, you know, CEOs and seals that don't have sea level women executives and saying, You know, there's a business benefit toe having diversity of all kinds in an organization, you know, you know, strength lies in differences, not in similarities. And I think we can really grow businesses and have that value if we have different types of opinions. And I think there's, you know, statistic shows when you have more diversity, your business is more successful. So I think senior leaders should pay attention and, you know, purposely try to hire more a more diverse workforce >> and what do you have anything to add to that? I mean, I know that it that it's maybe tougher for a man to weigh in on this issue, but at the same time it is one that affects all of us. >> Absolutely. And I think seventy, said it best right when you bring in, you know, multiple bill from different ethnicities from different genders. I mean, it's it's that wealth of knowledge and everyone brings from the different experiences they have in life, and I think that's what you need. You don't want to know the collective all thinking the same way you want the collective that bring the diversity into your organization. And I think you know, when I was in school, we had one woman in my entire computer engineering class, and you know that you wanted to see that change, right? I love to see more of that disease. More women being in the work force, especially within technology. >> I >> think that's Ah, it's fantastic for technology. >> Stephanie, What's your advice for young girls out there? Maybe in high school college, who are having gravitating towards either it's computer science or some sort of stem related field that might be intimidated? >> I think the one important thing you can do is like really rely on your family and friends for encouragement, cause I think sometimes it is gonna be intimidating, you know, For me I'd walk into a course and I was the only female my computer networking class. But I had, like my father, always encouraged me to push me to say, like, Don't ever be intimately. Don't ever be scared and you need a little bit of a fix. Came because for a little bit it is going to be just you in a room. But I think the more you speak up and the more you just kind of push yourself, I think it is going to get better. And I think it's almost kind of cool when you're the only female. Because you feel that pride. I want to do better. I want to do better for all of us to say like we can be. Not just a good, even better. >> Great. So great advice. Yeah. Stephanie James. Thank you both. So much for coming on. Thanks for having us. Pleasure talking, Teo. Thanks. I'm Rebecca Knight for John Furrier. We will have so much more of nutanix dot Next coming up in just a little bit

Published Date : May 8 2019

SUMMARY :

Brought to you by Nutanix. Thank you so much for coming on the cues. What do what do you do? And we just recently emerged with a fifth now, so We're rapidly growing in the in Ontario, all kind of legacy. Definitely a lot of integration to be done, but we're confident that we'LL get it all done and we want to move to new tanks by phone. So we're use up utilizing technology like nutanix too kind of, you know, get down and So we're seeing a lot of, you know, go from twenty four racks to six. So you see, like already the benefits of you know growing are our infrastructure, What was that what were sort of the problems that you were trying to solve? And the issue with that is, as you guys know what VD I I mean, I think, you know, we'LL save some money. So what we're looking to do with Nutanix isn't you know, there's been a lot of wins for us moving to NUTANIX, And I think our team is really looking for true as well. So you know Well, that's why we moved GHB into d. So you guys knew them when they were five years ago Now, and not, you know, changing tapes or working on supporting a system when we don't have to do that And if you can repurpose and automata way the manual labor that's boring and repetitive, And we love the message we heard today about being invisible. I mean, that's essentially we wanted. So I want to hear from you both from a personal standpoint in terms of what your thoughts are And I think there's, you know, statistic shows when you have more diversity, and what do you have anything to add to that? And I think you know, when I was in school, we had one woman in my But I think the more you speak up and the more you just kind of push yourself, Thank you both.

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Stephanie Trunzo, IBM | IBM Think 2019


 

>> Live from San Francisco, it's theCUBE covering the IBM Think 2019, brought to you by IBM. >> Welcome to the redone Moscone Center here in San Francisco. I'm Stu Miniman with my co-host, Dave Vellante. You're watching theCUBE's wall to wall coverage of IBM Think 2019. >> Happy to welcome back to the program, a CUBE alumni Stephanie Trunzo, who's the Global Head of IBM Cloud Garage. >> Stephanie, thanks for joining us again. >> Yeah, yeah, great to be here. >> Good to see you. >> So, you're one of the IBM boomerangs. >> So you've worked for IBM before >> Indeed, that's right. and you're back now. So tell us a little about, we've had some interviews about the IBM Cloud Garage but tell us about your role, what you are doing. >> So I was with IBM for 13 years. >> I left and started a company called Point Source. >> We were a business partner and we did a lot of work in mobile and digital transformation and I sold that company and I kind of thought, "Well what's next?" and this opportunity presented itself. >> And it's perfect because the Cloud Garage is taking a new approach to how we interact with our clients from an IBM perspective and a lot of it is very similar to what we did at Point Source which is take this digital transformation, digital agency approach to looking at business outcomes first. >> Yeah, so one of our favorite topics, you know, cause it's a buzzword for a few years but when we talked to companies, I mean it's real. >> A few years back it was like, right, >> I'm doing a mobile app. I'm doing things like that. >> Bring us inside. It's a spectrum and every company is different but tell us what digital transformation means to the costumers that you're working with and how IBM and the Cloud Garage is helping them along that journey >> Yeah >> You know it's funny that you say that. Digital transformation can feel like a buzzword, right? >> And I think it's because there's so many things that are broader than just digital about transformation. So we talk in the Cloud Garage about guided transformation as a way of helping our clients not only think about how do they take Legacy applications, how do they take a new modern approach to their technology? How do they apply digital to processes that they already have in place? >> But also think about culture, new ways of working. >> Those aren't necessarily digital topics but we think about it as a guided transformation approach, meaning, can we teach along the way? >> So we're not just helping our clients see rapid outcomes and develop MVPs but are we helping them also learn along the way? >> So clients are really looking for people to help them, coach them on making decisions, bring expertise to the table so that they also have sustainable frameworks and you know, they're skilling people up in these new modern technologies as well. >> So digital transformation, of course, it is the buzzword of the day but every CEO you talk to is trying to get digital transformation right. >> So, what do you think some of the common ways in which people are pursuing the right path of digital transformation and maybe the question is what's perhaps some of the mistakes that people are making? >> Yeah, yeah, so I think if we think about it from the side of some challenges or mistakes or you know maybe missteps that people have along the way, is probably not spending enough time focusing on users, you know, taking the time to take a real outside-in approach. What is necessary to interact with your clients differently? >> What are the new capabilities that you could be offering? But instead of just daydreaming about all of the cool stuff that technology could do, really grounding it in an understanding of what your users want, what your users need, the data that will help inform those decisions. So I think that that's one misstep, is that people get excited about new technologies and so often it's like a solution looking for a problem and so we try to help make sure that we're really identifying business outcomes and what are the things that they want to test, to learn more so it's real iterative learning. >> And I think something you said is also really important, getting it right. >> What does that mean? >> Getting it right, it's a journey, it's this evolution so I'm not sure you ever hit a stage were you say, "Ah-ha, I've done it." (laughing) But more you can identify milestones where you can learn and apply that learning to keep evolving. >> Yeah. Often when we talk to users, the long pole to tent that transformation is that application portfolio. There's some stuff that can move pretty quick and we've seen that happen in the industry but boy, there's some stuff that I shoved it into VM and I kept it running five or 10 years longer than I should. >> How are companies doing along that line? >> How do we help get, because that's one of the challenges for users is, "Ugh, I have to use this horrible application." >> Yes. >> "That just can't move this at the speed that we need it to." >> Yeah, so when I talk with clients about this, one of the things that we often discuss is that you look backwards at your legacy architectures or your systems, like, core systems that take forever to migrate and often they were architected with time, not intention, right? So one microdecision after another took place over 10, 15, 20 years and your architecture, it reflects that. So I think that Cloud offers this really unique opportunity to look at your architecture going forward with an intentional mindset. So, kind of resetting the clock on all those architectural decisions that have accrued over a time. And I think that one of the aspects of getting people moving, even on the sticky projects, is breaking it down to consumable pieces. So one of the things we do in the Cloud Garage is help our clients figure out how to identify an actionable MVP. A minimum viable product that we can show quick success against. They've got a hypothesis they need to test. Let's just take one application, let's take one work load, and let's move that and see what happens. So we're going to do that learning, we're going to test that hypothesis and that starts you down a path that's a little quicker. >> How do I engage with the IBM Cloud Garage? >> If I'm interested, how do I get started? Is it a set of services? How does it all work? >> Yes, so we have 15 locations globally so they're built for purpose, built for activity spaces around the world. You can come into one of those spaces and we can do a tour, we can do a framing workshop which helps identify business opportunities, that first piece, the first step in the journey and get you moving really quickly. >> We also will do a couple different kinds of models if one of those locations doesn't work for a client or isn't a good geographical location. We'll also do pop-up Garages where we'll go to the client and work directly onsite with them. >> We've heard a lot about how Cloud fits into a lot of the digital transformation? >> What I haven't heard as much, but I would expect IBM is doing is how AI fits into that activity. >> Absolutely. Yeah, so in fact, I kind of lump that all together, to be honest, because part of the journey is identifying, again, if you're starting from business outcomes, you're working back to the technology solution so maybe the objective is to, you're in insurance industry and you need to develop policy quotes quicker. In order to develop that solution, that might necessarily involve us figuring out how to not only get their core systems to clouds so that they can extract data faster but also get more intelligent about underwriting processes so they can get quotes out quickly. So all of those technologies come into our process almost as a subplot to the business outcome that we're trying to drive for our clients. >> How much do you get involved in helping with the data strategy specifically? I mean, we think of the innovation sandwich that is data plus machine intelligence plus Cloud for scale, how involved are you in the data strategy? >> Is that part of the initiative? >> Absolutely. In fact, I think there's a really great symbiotic relationship and we see this pattern really often where clients will come to us because they want to do some application modernization as a starting point. >> As soon as we get into that conversation, you realize you actually need to modernize your data strategy as well. So there's a cyclical relationship and either entry point ends up involving the other, so if you're modernizing your data, what are you doing with it? You're probably surfacing it in an application, now we're back into an application discussion again. So we do definitely get involved in that and in fact, we have several offerings that are specifically geared towards data and analytics. >> Stephanie, about how long is a typical engagement? >> Is there an ending point or are there follow-ups that you have to make sure you're tweaking ... >> It never ends. It never ends. Yeah. (laughing) >> So, a typical engagement is we would start with the framing workshop I mentioned to identify the business opportunity. Design thinking workshop to take that business opportunity. Take all these great big ideas that people come up with and funnel it into something that's actionable. >> So take all the big ideas then and turn it into the one that we're going to pursue. >> And then an MVP workshop where we co-create with the client so we're teaching those skills, pair programming and working directly with them and a product owner to develop an MVP, test that hypothesis. And at the end, sometimes the MVP is something that is ready to roll in to production. >> Sometimes the MVP is something that leads to a learning that produces a second MVP. >> A typical engagement, end to end, for us, is probably around three months to get that first MVP and that's a pretty rapid pace to go the whole way from, and sometimes it's just as short as three weeks. So it just depends on the scope. But to go the whole way from identifying an opportunity and to testing it and having a real results, it's pretty fast. >> Are there specific KPI's that the customer can usually have coming out of that? >> Three months. That's a great window. >> You used to think about these engagements that used to roll out. >> Three years! >> It used to be more. >> Yeah, exactly. >> Yeah, so we do look at... >> It really depends on what it is that they're trying to achieve. But we do define success criteria upfront. Those success criteria then are the things that we're testing as part of the MVP process. And so at the end, you will have actionable results. You'll have information that you've learned from as a result of developing that MVP. >> Sometimes it's something like understanding whether certain security protocols internally can be met with moving a workload in a certain way. Sometimes it's actually about user conversion. So it could be a marketing goal. >> It really depends on what they're trying to achieve. >> Where do you want to see this go? I mean, obviously, you're riding the waves. Digital transformation, AI, data. Where do you see this going over the next two to five years? >> Yeah. So I think some of the fascinating things that we've been doing and the Garage is a great place because so much innovation is happening there. Our clients are kind of testing boundaries. So we get to see a lot of the pretty far, out-there things. >> We've had projects with blockchain tracking fish in streams like a farm to table scenario but marry that with Watson image recognition so we can tell what the fish is and digitally imprint an ID on it. The sky's the limit on the kinds of things that we can come up with and build an MVP for. But I think some of the stuff that I would see in the next few years is really more around what I'll say ambient computing. We're adding additional senses, it's no longer just sight. Now we have so much voice. >> There's all of these other ways that we are interacting in context. >> And so I think we're going to keep exploring this kind of ambient notion of the things that are going on around us, whether that's data, artificial intelligence, and forming things, and then incorporating that into how technology interacts with consumers, users, et cetera. >> You're really taking the notion of digital transformation to the next level. >> That's right. >> Say, sensing. >> Exactly. >> Acting on behalf of the brand. >> That's right. >> Injecting intelligence layer- >> You got it. >> Into that all. >> Exactly. >> Nice. >> Yeah. >> Alright. Stephanie, there's tons of users here at the show. Are there customer stories that people get to hear throughout the week? >> What highlights? >> Yeah, definitely. So, we really are big on storytelling because it's the easiest way to understand these things. Some of these technologies are difficult, you know. They're intense concepts. >> So we have a lot of our clients come and share their stories onstage. There's a keynote on Thursday where we're talking about how to take an idea to MVP and we've got several clients joining us to talk about the Cloud Garage and how we actually impacted their business so, yeah. >> Alright. Well, Stephanie, we really appreciate all the updates on IBM Cloud Garage. >> Yeah, absolutely. >> Congratulations. >> Thanks for having me back! Five years. Great. >> Alright. Well, we always love to tell the stories of what's happening at all the big shows. Help extract the signal from the noise. From Dave Vallente, I'm Stu Miniman. >> We'll be right back. Thanks for watching theCube.

Published Date : Feb 12 2019

SUMMARY :

brought to you by IBM. Welcome to the redone Moscone Center Happy to welcome back to the program, about the IBM Cloud Garage but tell us about your role, I sold that company and I kind of thought, And it's perfect because the Cloud Garage is to companies, I mean it's real. I'm doing things like that. and how IBM and the Cloud Garage is helping You know it's funny that you say that. So we talk in the Cloud Garage bring expertise to the table so that they it is the buzzword of the day to interact with your clients differently? of just daydreaming about all of the And I think something you said is and apply that learning to keep evolving. happen in the industry but boy, there's some of the challenges for users is, "Ugh, I have to use we need it to." So one of the things we do that first piece, the first step in the journey kinds of models if one of those locations IBM is doing is how AI fits into that activity. so maybe the objective is to, and we see this pattern really often where in that and in fact, we have several offerings that you have to make sure you're tweaking ... It never ends. that people come up with and funnel it So take all the big ideas then and turn it sometimes the MVP is something that is Sometimes the MVP is something that leads depends on the scope. That's a great window. that used to roll out. And so at the end, So it could be a marketing goal. It really depends on what they're over the next two to five years? a lot of the pretty far, out-there things. on the kinds of things that we can that we are interacting in context. of the things that are going on around us, taking the notion of digital transformation that people get to hear throughout the week? storytelling because it's the easiest way the Cloud Garage and how we actually all the updates on IBM Cloud Garage. Thanks for having me back! the stories of what's happening at all Thanks for watching theCube.

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Stephanie McReynolds, Alation | CUBE Conversation, December 2018


 

(bright classical music) >> Hi, I'm Peter Burris and welcome to another CUBE Conversation from our studios here in Palo Alto, California. We've got another great conversation today, specifically we're going to talk about some of the trends and changes in data catalogs, which were emerging as a crucial technology to advance data-driven business on a global scale. And to do that, we've got Alation here, specifically Stephanie McReynolds who's the Vice-President of Marketing at Alation. Stephanie, welcome back to theCUBE. >> Thank you, it's great to be here again. >> So Stephanie, before we get into this very important topic of the increasing, obviously role or connection between knowing what your data is, knowing where it is, and business outcomes in a data-driven business world, let's talk about Alation. What's the update? >> Yeah, so we just celebrated, yesterday in fact, the sixth anniversary of incorporation of the company. And upon, reflecting on some of the milestones that we've seen over those six years, one of the exciting developments is we went from initially about seven production implementations a couple years after we were founded, to now over a hundred organizations that are using Alation. And in those organizations over the last couple of years, we've seen many organizations move from hundreds of users, to now thousands of users. An organization like Scout24 has 70 percent of the company as self-servicing analytics users and a significant portion of those users now using Alation. So we're seeing companies in Europe like Scout24 who's in Germany. Companies like Pfizer in the United States. Munich Reinsurance in the financial services industry. Also hit about 2000 users of Alation, and so it's exciting to look at our origins with eBay as our very first customer, who's now up to about 3000 users. And then these more recent companies adopt Alation all of them now getting to a point where they really have a large population that's using a data catalog to drive self-service analytics and business outcomes out of those self-serving analytics. >> So a hundred first-rate brands as users, it's international expansion. Sounds like Alation's really going places. What I want to do though, is I want to talk a little bit about some of the outcomes that these companies are starting to achieve. Now we have been on the record here at circling the angle with theCUBE wiki bomb for quite some time, trying to draw a relationship between business, digital business, and the role that data plays. Digital business transformation, in many respects, is about how you evolve the role the data plays in your business to become more data-driven. It's hard to do without knowing what your data is, where it is, and having some notion of how it's being used in a verified trusted way. How are you seeing your company's start to tie the use of catalogs to some of these outcomes? What kind of outcomes are folks trying to achieve first off? >> Yeah, you're right. Just basic table stakes for turning an organization into an organization that relies on data-driven decision-making rather than intuitive-decision making requires an inventory. And so that's table stakes for any catalog, and you see a number of vendors out there providing data inventories. But what I think is exciting with the customers that we work with, is they are really undertaking transformative change, not just in the tooling and technology their company uses, but also in the organizational structure, and data literacy programs, and driving towards real business impact, and real business outcomes. An example of an Alation customer, who's been talking recently about outcomes, is Pfizer. Pfizer was covered in a Wall Street Journal article, recently. Also was speaking at TABLO Conference, about how they're using a combination of the Alation data catalog with TABLO on the front end, and a data science platform called Data IQ, in an integrated analytics workbench that is helping them with new drug discovery. And so, for populations of ill individuals, who may have a rare form of heart disease, they're now able to use machine learning and algorithms that are informed by the data catalog to catch one percent, two percent of heart disease patients who have a slight deviation from the norm, and can deliver drugs appropriately to that population. Another example of the business outcome would be with an insurance company; very different industry, right? But, Munich Reinsurance is a huge global reinsurance company, so you think about hurricanes or the fires we had here in the United States, they actually support first line insurers by reinsuring them. They're also founding new business units for new types of risks in the market. An example would be a factory that is fully controlled by robots. Think about the risks of having that factory be taken over by hackers in the middle of the night, where there's not a lot of employees on the floor. Munich Reinsurance is leveraging the data catalog as a collaboration platform between actuaries and individuals that are knowledgeable in the business to define what are the data products that could support an entirely new business units, like for cyber crimes. And investing in those business units based on the innovation they're doing using the data catalog as a collaboration platform. So these are two great examples of organizations that, a couple years ago started with a data catalog, but have driven so many more initiatives than just analyst productivity off of that implementation. >> Oh, those are great outcomes. One of them talking about robots in the factory, automated factory, one thing, if they went haywire, would make for some interesting viral video. (gently laughs) >> That's right. That's right. >> But coming back, but the reason I say that is because in many respects, these practices, these relations with the outcomes, the outcomes are the real complex thing. You talked about becoming more familiar with data, using data differently, becoming more data driven. That requires some pretty significant organizational change. And it seems to me, and I'm querying you on this, that the bringing together these users to share their stories about how to achieve these data driven outcomes, made more productive by catalogs and related technologies. Communities must start to be forming. Are you seeing communities form around achieving these outcomes and utilizing these types of technologies to accelerate the business change? >> So what's really interesting at an organization like Munich Reinsurance or at Pfizer, is there's an internal community that is using the data catalog as a collaboration platform and as kind of a social networking platform for the data nerds. So if I am a brand new user of self-service analytics, I may be a product manager who doesn't know how to write a sequel query yet. Who doesn't know how to go and wrangle my own data. >> Yeah, may never want to. (playfully laughs) >> May never want to. May never want to. Who may not know how to go and validate data for quality or consistency. I can now go to the data catalog to find trusted resources of data assets, be that a dashboard to report that's already been written or be that raw data that someone else has certified, or just has used in the past. So we're seeing this social influence happen within companies that are using data catalogs, where they can see for the data catalog pages, who's used, who's validated this data set so that I now trust the data. And then, what we've seen happen, just within the last year and-a-half or so, is these organizations, the sponsors of the data of these organizations, are starting to share best practices naturally with one another, and saying, hey >> Across organizations. >> Across organizations. And so there has been a demand for Alation to get out into the market and help catalyze the creation of communities across different organizations. We kicked off, within the last two months, a series of meetings that we've called RevAlation. >> R-E-V-A-L >> That's right >> A-T-I-O-N >> R-E-V-A-L-A-T-I-O-N And the thing behind the name is, if you can start to share best practices in terms of how you create a data-driven culture across organizations, you can begin to really get breakthrough speed, right? In making this transformation to a data-driven organization. And so, I think what's interesting at the RevAlation events, is folks are not talking just about how they're using the tool, how they're using technology. They're actually talking about how do we improve the data literacy of our organizations and what are the programs in place that leverage, maybe the data catalog, to do that. And so they're starting to really think about, how does, not just the technical architecture and the tooling change in their organizations, but how do we close this gap between having access to data and trusting the data and getting folks who maybe aren't, too familiar with the technical aspects of the data supply chain. How do we make them comfortable in moving away from intuitive decisions to data-driven decisions? >> Yeah, so the outcome really is not just the application of the tool, it's the new behaviors in the business that are associated with data-driven. But to do that, you still have to gain insight and understand what kinds of practices are best used with the tool itself. >> That's right. >> So it's got to be a combination. But, you know, Alation has been, if I can say this. Alation's been on this path for a while. Not too long ago, you came on theCUBE and you talked about trust check. >> Right. >> Which was an effort to establish conventions and standards for how data could be verified and validated so that it would be easy to use, so that someone could use the data and be certain that it is what it is, without necessarily having to understand the data. Something that could be very good for, for example, for folks who are very focused on the outcome, and not focused on the science of the data associated with it. >> That's right. >> So, is this part of, it's RevAlation, it's trust check. Is this part of the journey you're on to try to get people to see this relation between data-driven business and knowing more about your data? >> It absolutely is. It's a journey to get organizations to understand what is the power that they have internally, within this data. And close the gap on, which is in part organizational, but in part for individuals user's psychological and how do you get to a trusted decision. And so, you'll continue to see us invest in features like trust check that highlight how technology can make recommendations; can help validate and verify what the experts in the organization know and propagate that more widely. And then you'll also see us share more best practices about how do you start to create the right organizational change, and how do you start to impact the psychology of fear that we've had in many organizations around data. And I think that's where Alation is uniquely placed, because we have the highest number of data catalog customers of any other vendor I'm familiar with in this space. And we also have a unique design approach. When we go into organizations and talk about adopting a data catalog, it's as much about, how do our products support psychological comfort with data as well as, how do they support the actual workflow of getting that query completed, or getting that data certified. And so I think we've taken a bit of a unique approach to the market from the beginning where we're really designing holistically. We're not just, how do you execute a software program that supports workflow? But how do you start to think about how the data consumer actually adopts that best practices and starts to think differently about how they use data in a more confident way? >> Well I think the first time that you and I talked in theCUBE was probably 2016, and I was struck by the degree to which Alation as a tool, and the language that you used in describing it was clearly designed for human beings to use it. >> Right. >> As opposed to for data. And I think that, that is a unique proposition, because at the end of the day, the goal here, is to have people use data to achieve outcomes and not just to do a better job of managing data. >> And that doesn't mean that, I mean we have a ton of machine learning, >> Sure. >> And AI in the products. That doesn't take away from the power of those algorithms to speed up human work and human behavior. But we really believe that the algorithms need to compliment human input and that there should be a human in the loop with decision-making. And then the algorithms propagate the knowledge that we have of experts in the organization. And that's where you get the real breakthrough business outcomes, when you can take input from a lot of different human perspectives and optimize an outcome by using technology as a support structure to help that. >> In a way that's familiar and natural and easy for others in your organization. >> That's right. That seems, you know, if you go back to. >> It makes sense. >> When we were all introduced to Google it was a little bit of an odd thing to go ask Google questions and get results back from the internet. We see data evolving in the same way. Alation is the Google for your data in your organization. At some point it'll be very natural to say, 'Hey Alation, what happened with revenue last month?' And Alation will come back with an answer. So I think that, that future is in sight, where it's very easy to use data. You know you're getting trusted responses. You know that they're accurate because there's either a certification program in place that the technology supports, or there's a social network that's bubbling this information up to the top, that is a trusted source. And so, that evolution in data needs to happen for our organizations to broadly see analytic driven outcomes. Just as in our consumer or personal life, Google had to show us a new way to evolving, you know, to a kind of answering machine on the internet. >> Excellent. Stephanie McReynolds, Vice-President of Marketing Alation, talked to us about building communities, to become more of a, to achieve data-driven outcomes, utilizing data catalog technology. Stephanie, thanks very much for being here. >> Thanks for inviting me. >> And once again, I'm Peter Burris, and this has been another CUBE Conversation until next time. (bright classical music)

Published Date : Dec 14 2018

SUMMARY :

And to do that, we've got Alation here, What's the update? Munich Reinsurance in the about some of the outcomes combination of the Alation data robots in the factory, That's right. that the bringing together platform for the data nerds. Yeah, may never want to. the data of these organizations, into the market and help the data catalog, to do that. of the tool, it's the new So it's got to be a combination. the data associated with it. to see this relation between And close the gap on, which to use it. and not just to do a better And AI in the products. in your organization. That seems, you know, if you go back to. that the technology supports, talked to us about building communities, and this has been another CUBE

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Stephanie McReynolds, Alation | theCUBE NYC 2018


 

>> Live from New York, It's theCUBE! Covering theCUBE New York City 2018. Brought to you by SiliconANGLE Media and its ecosystem partners. >> Hello and welcome back to theCUBE live in New York City, here for CUBE NYC. In conjunct with Strata Conference, Strata Data, Strata Hadoop This is our ninth year covering the big data ecosystem which has evolved into machine learning, A.I., data science, cloud, a lot of great things happening all things data, impacting all businesses I'm John Furrier, your host with Dave Vellante and Peter Burris, Peter is filling in for Dave Vellante. Next guest, Stephanie McReynolds who is the CMO, VP of Marketing for Alation, thanks for joining us. >> Thanks for having me. >> Good to see you. So you guys have a pretty spectacular exhibit here in New York. I want to get to that right away, top story is Attack of the Bots. And you're showing a great demo. Explain what you guys are doing in the show. >> Yah, well it's robot fighting time in our booth, so we brought a little fun to the show floor my kids are.. >> You mean big data is not fun enough? >> Well big data is pretty fun but occasionally you got to get your geek battle on there so we're having fun with robots but I think the real story in the Alation booth is about the product and how machine learning data catalogs are helping a whole variety of users in the organization everything from improving analyst productivity and even some business user productivity of data to then really supporting data scientists in their work by helping them to distribute their data products through a data catalog. >> You guys are one of the new guard companies that are doing things that make it really easy for people who want to use data, practitioners that the average data citizen has been called, or people who want productivity. Not necessarily the hardcore, setting up clusters, really kind of like the big data user. What's that market look like right now, has it met your expectations, how's business, what's the update? >> Yah, I think we have a strong perspective that for us to close the final mile and get to real value out of the data, it's a human challenge, there's a trust gap with managers. Today on stage over at STRATA it was interesting because Google had a speaker and it wasn't their chief data officer it was their chief decision scientist and I think that reflects what that final mile is is that making decisions and it's the trust gap that managers have with data because they don't know how the insides are coming to them, what are all the details underneath. In order to be able to trust decisions you have to understand who processed the data, what decision making criteria did they use, was this data governed well, are we introducing some bias into our algorithms, and can that be controlled? And so Alation becomes a platform for supporting getting answers to those issues. And then there's plenty of other companies that are optimizing the performance of those QUERYS and the storage of that data, but we're trying to really to close that trust gap. >> It's very interesting because from a management standpoint we're trying to do more evidence based management. So there's a major trend in board rooms, and executive offices to try to find ways to acculturate the executive team to using data, evidence based management healthcare now being applied to a lot of other domains. We've also historically had a situation where the people who focused or worked with the data was a relatively small coterie of individuals that crave these crazy systems to try to bring those two together. It sounds like what you're doing, and I really like the idea of the data scientists, being able to create data products that then can be distributed. It sounds like you're trying to look at data as an asset to be created, to be distributed so they can be more easily used by more people in your organization, have we got that right? >> Absolutely. So we're now seeing we're in just over a hundred production implementations of Alation, at large enterprises, and we're now seeing those production implementations get into the thousands of users. So this is going beyond those data specialists. Beyond the unicorn data scientists that understand the systems and math and technology. >> And business. >> And business, right. In business. So what we're seeing now is that a data catalog can be a point of collaboration across those different audiences in an enterprise. So whereas three years ago some of our initial customers kept the data catalog implementations small, right. They were getting access to the specialists to this catalog and asked them to certify data assets for others, what were starting to see is a proliferation of creation of self service data assets, a certification process that now is enterprise-wide, and thousands of users in these organizations. So Ebay has over a thousand weekly logins, Munich Reinsurance was on stage yesterday, their head of data engineering said they have 2,000 users on Alation at this point on their data lake, Fiserv is going to speak on Thursday and they're getting up to those numbers as well, so we see some really solid organizations that are solving medical, pharmaceutical issues, right, the largest re insurer in the world leading tech companies, starting to adopt a data catalog as a foundation for how their going to make those data driven decisions in the organization. >> Talk about how the product works because essentially you're bringing kind of the decision scientists, for lack of a better word, and productivity worker, almost like a business office suite concept, as a SAS, so you got a SAS model that says "Hey you want to play with data, use it but you have to do some front end work." Take us through how you guys roll out the platform, how are your customers consuming the service, take us through the engagement with customers. >> I think for customers, the most interesting part of this product is that it displays itself as an application that anyone can use, right? So there's a super familiar search interface that, rather than bringing back webpages, allows you to search for data assets in your organization. If you want more information on that data asset you click on those search results and you can see all of the information of how that data has been used in the organization, as well as the technical details and the technical metadata. And I think what's even more powerful is we actually have a recommendation engine that recommends data assets to the user. And that can be plugged into Tablo and Salesworth, Einstein Analytics, and a whole variety of other data science tools like Data Haiku that you might be using in your organization. So this looks like a very easy to use application that folks are familiar with that you just need a web browser to access, but on the backend, the hard work that's happening is the automation that we do with the platform. So by going out and crawling these source systems and looking at not just the technical descriptions of data, the metadata that exists, but then being able to understand by parsing the sequel weblogs, how that data is actually being used in the organization. We call it behavior I.O. by looking at the behaviors of how that data's being used, from those logs, we can actually give you a really good sense of how that data should be used in the future or where you might have gaps in governing that data or how you might want to reorient your storage or compute infrastructure to support the type of analytics that are actually being executed by real humans in your organization. And that's eye opening to a lot of I.T. sources. >> So you're providing insights to the data usage so that the business could get optimized for whether it's I.T. footprint component, or kinds of use cases, is that kind of how it's working? >> So what's interesting is the optimization actually happens in a pretty automated way, because we can make recommendations to those consumers of data of how they want to navigate the system. Kind of like Google makes recommendations as you browse the web, right? >> If you misspell something, "Oh did you mean this", kind of thing? >> "Did you mean this, might you also be interested in this", right? It's kind of a cross between Google and Amazon. Others like you may have used these other data assets in the past to determine revenue for that particular region, have you thought about using this filter, have you thought about using this join, did you know that you're trying to do analysis that maybe the sales ops guy has already done, and here's the certified report, why don't you just start with that? We're seeing a lot of reuse in organizations, wherein the past I think as an industry when Tablo and Click and all these B.I tools that were very self service oriented started to take off it was all about democratizing visualization by letting every user do their own thing and now we're realizing to get speed and accuracy and efficiency and effectiveness maybe there's more reuse of the work we've already done in existing data assets and by recommending those and expanding the data literacy around the interpretation of those, you might actually close this trust gap with the data. >> But there's one really important point that you raised, and I want to come back to it, and that is this notion of bias. So you know, Alation knows something about the data, knows a lot about the metadata, so therefore, I don't want to say understands, but it's capable of categorizing data in that way. And you're also able to look at the usage of that data by parsing some of sequel statements and then making a determination of the data as it's identified is appropriately being used based on how people are actually applying it so you can identify potential bias or potential misuse or whatever else it might be. That is an incredibly important thing. As you know John, we had an event last night and one of the things that popped up is how do you deal with emergence in data science in A.I, etc. And what methods do you put in place to actually ensure that the governance model can be extended to understand how those things are potentially in a very soft way, corrupting the use of the data. So could you spend a little bit more time talking about that because it's something a lot of people are interested in, quite frankly we don't know about a lot of tools that are doing that kind of work right now. It's an important point. >> I think the traditional viewpoint was if we just can manage the data we will be able to have a govern system. So if we control the inputs then well have a safe environment, and that was kind of like the classic single source of truth, data warehouse type model. >> Stewards of the data. >> What we're seeing is with the proliferation of sources of data and how quickly with IOT and new modern sources, data is getting created, you're not able to manage data at that point of that entry point. And it's not just about systems, it's about individuals that go on the web and find a dataset and then load it into a corporate database, right? Or you merge an Excel file with something that in a database. And so I think what we see happening, not only when you look at bias but if you look at some of the new regulations like [Inaudible] >> Sure. Ownership, [Inaudible] >> The logic that you're using to process that data, the algorithm itself can be biased, if you have a biased training data site that you feed it into a machine learning algorithm, the algorithm itself is going to be biased. And so the control point in this world where data is proliferating and we're not sure we can control that entirely, becomes the logic embedded in the algorithm. Even if that's a simple sequel statement that's feeding a report. And so Alation is able to introspect that sequel and highlight that maybe there is bias at work and how this algorithm is composed. So with GDPR the consumer owns their own data, if they want to pull it out from a training data set, you got to rerun that algorithm without that consumer data and that's your control point then going forward for the organization on different governance issues that pop up. >> Talk about the psychology of the user base because one of the things that shifted in the data world is a few stewards of data managed everything, now you've got a model where literally thousands of people of an organization could be users, productivity users, so you get a social component in here that people know who's doing data work, which in a way, creates a new persona or class of worker. A non techy worker. >> Yeah. It's interesting if you think about moving access to the data and moving the individuals that are creating algorithms out to a broader user group, what's important, you have to make sure that you're educating and training and sharing knowledge with that democratized audience, right? And to be able to do that you kind of want to work with human psychology, right? You want to be able to give people guidance in the course of their work rather than have them memorize a set of rules and try to remember to apply those. If you had a specialist group you can kind of control and force them to memorize and then apply, the more modern approach is to say "look, with some of these machine learning techniques that we have, why don't we make a recommendation." What you're going to do is introduce bias into that calculation. >> And we're capturing that information as you use the data. >> Well were also making a recommendation to say "Hey do you know you're doing this? Maybe you don't want to do that." Most people are using the data are not bad actors. They just can't remember all the rule sets to apply. So what were trying to do is cut someone behaviorally in the act before they make that mistake and say hey just a bit of a reminder, a bit of a coaching moment, did you know what you're doing? Maybe you can think of another approach to this. And we've found that many organizations that changes the discussion around data governance. It's no longer this top down constraint to finding insight, which frustrates an audience, is trying to use that data. It's more like a coach helping you improve and then social aspect of wanting to contribute to the system comes into play and people start communicating, collaborating, the platform and curating information a little bit. >> I remember when Microsoft Excel came out, the spreadsheet, or Lotus 123, oh my God, people are going to use these amazing things with spreadsheets, they did. You're taking a similar approach with analytics, much bigger surface area of work to kind of attack from a data perspective, but in a way kind of the same kind of concept, put the hands of the users, have the data in their hands so to speak. >> Yeah, enable everyone to make data driven decisions. But make sure that they're interpreting that data in the right way, right? Give them enough guidance, don't let them just kind of attack the wild west and fair it out. >> Well looking back at the Microsoft Excel spreadsheet example, I remember when a finance department would send a formatted spreadsheet with all the rules for how to use it out of 50 different groups around the world, and everyone figured out that you can go in and manipulate the macros and deliver any results they want. And so it's that same notion, you have to know something about that, but this site, in many respects Stephanie you're describing a data governance model that really is more truly governance, that if we think about a data asset it's how do we mediate a lot of different claims against that set of data so that its used appropriately, so its not corrupted, so that it doesn't effect other people, but very importantly so that the out6comes are easier to agree upon because there's some trust and there's some valid behaviors and there's some verification in the flow of the data utilization. >> And where we give voice to a number of different constituencies. Because business opinions from different departments can run slightly counter to one another. There can be friction in how to use particular data assets in the business depending on the lens that you have in that business and so what were trying to do is surface those different perspectives, give them voice, allow those constituencies to work that out in a platform that captures that debate, captures that knowledge, makes that debate a knowledge of foundation to build upon so in many ways its kind of like the scientific method, right? As a scientist I publish a paper. >> Get peer reviewed. >> Get peer reviewed, let other people weigh in. >> And it becomes part of the canon of knowledge. >> And it becomes part of the canon. And in the scientific community over the last several years you see that folks are publishing their data sets out publicly, why can't an enterprise do the same thing internally for different business groups internally. Take the same approach. Allow others to weigh in. It gets them better insights and it gets them more trust in that foundation. >> You get collective intelligence from the user base to help come in and make the data smarter and sharper. >> Yeah and have reusable assets that you can then build upon to find the higher level insights. Don't run the same report that a hundred people in the organization have already run. >> So the final question for you. As you guys are emerging, starting to do really well, you have a unique approach, honestly we think it fits in kind of the new guard of analytics, a productivity worker with data, which is we think is going to be a huge persona, where are you guys winning, and why are you winning with your customer base? What are some things that are resonating as you go in and engage with prospects and customers and existing customers? What are they attracted to, what are they like, and why are you beating the competition in your sales and opportunities? >> I think this concept of a more agile, grassroots approach to data governance is a breath of fresh air for anyone who spend their career in the data space. Were at a turning point in industry where you're now seeing chief decision scientists, chief data officers, chief analytic officers take a leadership role in organizations. Munich Reinsurance is using their data team to actually invest and hold new arms of their business. That's how they're pushing the envelope on leadership in the insurance space and were seeing that across our install base. Alation becomes this knowledge repository for all of those mines in the organization, and encourages a community to be built around data and insightful questions of data. And in that way the whole organization raises to the next level and I think its that vision of what can be created internally, how we can move away from just claiming that were a big data organization and really starting to see the impact of how new business models can be creative in these data assets, that's exciting to our customer base. >> Well congratulations. A hot start up. Alation here on theCUBE in New York City for cubeNYC. Changing the game on analytics, bringing a breath of fresh air to hands of the users. A new persona developing. Congratulations, great to have you. Stephanie McReynolds. Its the cube. Stay with us for more live coverage, day one of two days live in New York City. We'll be right back.

Published Date : Sep 12 2018

SUMMARY :

Brought to you by SiliconANGLE Media the CMO, VP of Marketing for Alation, thanks for joining us. So you guys have a pretty spectacular so we brought a little fun to the show floor in the Alation booth is about the product You guys are one of the new guard companies is that making decisions and it's the trust gap and I really like the idea of the data scientists, production implementations get into the thousands of users. and asked them to certify data assets for others, kind of the decision scientists, gaps in governing that data or how you might want to so that the business could get optimized as you browse the web, right? in the past to determine revenue for that particular region, and one of the things that popped up is how do you deal and that was kind of like the classic it's about individuals that go on the web and find a dataset the algorithm itself is going to be biased. because one of the things that shifted in the data world And to be able to do that you kind of They just can't remember all the rule sets to apply. have the data in their hands so to speak. that data in the right way, right? and everyone figured out that you can go in in the business depending on the lens that you have And in the scientific community over the last several years You get collective intelligence from the user base Yeah and have reusable assets that you can then build upon and why are you winning with your customer base? and really starting to see the impact of how new business bringing a breath of fresh air to hands of the users.

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Stephanie McReynolds, Alation | DataWorks Summit 2018


 

>> Live from San Jose, in the heart of Silicon Valley, it's theCUBE, covering DataWorks Summit 2018, brought to you by Hortonworks. >> Welcome back to theCUBE's live coverage of DataWorks here in San Jose, California. I'm your host, Rebecca Knight, along with my co-host, James Kobielus. We're joined by Stephanie McReynolds. She is the Vice President of Marketing at Alation. Thanks so much for, for returning to theCUBE, Stephanie. >> Thank you for having me again. >> So, before the cameras were rolling, we were talking about Kevin Slavin's talk on the main stage this morning, and talking about, well really, a background to sort of this concern about AI and automation coming to take people's jobs, but really, his overarching point was that we really, we shouldn't, we shouldn't let the algorithms take over, and that humans actually are an integral piece of this loop. So, riff on that a little bit. >> Yeah, what I found fascinating about what he presented were actual examples where having a human in the loop of AI decision-making had a more positive impact than just letting the algorithms decide for you, and turning it into kind of a black, a black box. And the issue is not so much that, you know, there's very few cases where the algorithms make the wrong decision. What happens the majority of the time is that the algorithms actually can't be understood by human. So if you have to roll back >> They're opaque, yeah. >> in your decision-making, or uncover it, >> I mean, who can crack what a convolutional neural network does, at a layer by layer, nobody can. >> Right, right. And so, his point was, if we want to avoid not just poor outcomes, but also make sure that the robots don't take over the world, right, which is where every like, media person goes first, right? (Rebecca and James laugh) That you really need a human in the loop of this process. And a really interesting example he gave was what happened with the 2015 storm, and he talked about 16 different algorithms that do weather predictions, and only one algorithm predicted, mis-predicted that there would be a huge weather storm on the east coast. So if there had been a human in the loop, we wouldn't have, you know, caused all this crisis, right? The human could've >> And this is the storm >> Easily seen. >> That shut down the subway system, >> That's right. That's right. >> And really canceled New York City for a few days there, yeah. >> That's right. So I find this pretty meaningful, because Alation is in the data cataloging space, and we have a lot of opportunity to take technical metadata and automate the collection of technical and business metadata and do all this stuff behind the scenes. >> And you make the discovery of it, and the analysis of it. >> We do the discovery of this, and leading to actual recommendations to users of data, that you could turn into automated analyses or automated recommendations. >> Algorithmic, algorithmically augmented human judgment is what it's all about, the way I see it. What do you think? >> Yeah, but I think there's a deeper insight that he was sharing, is it's not just human judgment that is required, but for humans to actually be in the loop of the analysis as it moves from stage to stage, that we can try to influence or at least understand what's happening with that algorithm. And I think that's a really interesting point. You know, there's a number of data cataloging vendors, you know, some analysts will say there's anywhere from 10 to 30 different vendors in the data cataloging space, and as vendors, we kind of have this debate. Some vendors have more advanced AI and machine learning capabilities, and other vendors haven't automated at all. And I think that the answer, if you really want humans to adopt analytics, and to be comfortable with the decision-making of those algorithms, you need to have a human in the loop, in the middle of that process, of not only making the decision, but actually managing the data that flows through these systems. >> Well, algorithmic transparency and accountability is an increasing requirement. It's a requirement for GDPR compliance, for example. >> That's right. >> That I don't see yet with Wiki, but we don't see a lot of solution providers offering solutions to enable more of an automated roll-up of a narrative of an algorithmic decision path. But that clearly is a capability as it comes along, and it will. That will absolutely depend on a big data catalog managing the data, the metadata, but also helping to manage the tracking of what models were used to drive what decision, >> That's right. >> And what scenario. So that, that plays into what Alation >> So we talk, >> And others in your space do. >> We call that data catalog, almost as if the data's the only thing that we're tracking, but in addition to that, that metadata or the data itself, you also need to track the business semantics, how the business is using or applying that data and that algorithmic logic, so that might be logic that's just being used to transform that data, or it might be logic to actually make and automate decision, like what they're talking about GDPR. >> It's a data artifact catalog. These are all artifacts that, they are derived in many ways, or supplement and complement the data. >> That's right. >> They're all, it's all the logic, like you said. >> And what we talk about is, how do you create transparency into all those artifacts, right? So, a catalog starts with this inventory that creates a foundation for transparency, but if you don't make those artifacts accessible to a business person, who might not understand what is metadata, what is a transformation script. If you can't make that, those artifacts accessible to a, what I consider a real, or normal human being, right, (James laughs) I love to geek out, but, (all laugh) at some point, not everyone is going to understand. >> She's the normal human being in this team. >> I'm normal. I'm normal. >> I'm the abnormal human being among the questioners here. >> So, yeah, most people in the business are just getting our arms around how do we trust the output of analytics, how do we understand enough statistics and know what to apply to solve a business problem or not, and then we give them this like, hairball of technical artifacts and say, oh, go at it. You know, here's your transparency. >> Well, I want to ask about that, that human that we're talking about, that needs to be in the loop at every stage. What, that, surely, we can make the data more accessible, and, but it also requires a specialized skill set, and I want to ask you about the talent, because I noticed on your LinkedIn, you said, hey, we're hiring, so let me know. >> That's right, we're always hiring. We're a startup, growing well. >> So I want to know from you, I mean, are you having difficulty with filling roles? I mean, what is at the pipeline here? Are people getting the skills that they need? >> Yeah, I mean, there's a wide, what I think is a misnomer is there's actually a wide variety of skills, and I think we're adding new positions to this pool of skills. So I think what we're starting to see is an expectation that true business people, if you are in a finance organization, or you're in a marketing organization, or you're in a sales organization, you're going to see a higher level of data literacy be expected of that, that business person, and that's, that doesn't mean that they have to go take a Python course and learn how to be a data scientist. It means that they have to understand statistics enough to realize what the output of an algorithm is, and how they should be able to apply that. So, we have some great customers, who have formally kicked off internal training programs that are data literacy programs. Munich Re Insurance is a good example. They spoke with James a couple of months ago in Berlin. >> Yeah, this conference in Berlin, yeah. >> That's right, that's right, and their chief data officer has kicked off a formal data literacy training program for their employees, so that they can get business people comfortable enough and trusting the data, and-- >> It's a business culture transformation initiative that's very impressive. >> Yeah. >> How serious they are, and how comprehensive they are. >> But I think we're going to see that become much more common. Pfizer has taken, who's another customer of ours, has taken on a similar initiative, and how do they make all of their employees be able to have access to data, but then also know when to apply it to particular decision-making use cases. And so, we're seeing this need for business people to get a little bit of training, and then for new roles, like information stewards, or data stewards, to come online, folks who can curate the data and the data assets, and help be kind of translators in the organization. >> Stephanie, will there be a need for a algorithm curator, or a model curator, to, you know, like a model whisperer, to explain how these AI, convolutional, recurrent, >> Yeah. >> Whatever, all these neural, how, what they actually do, you know. Would there be a need for that going forward? Another as a normal human being, who can somehow be bilingual in neural net and in standard language? >> I think, I think so. I mean, I think we've put this pressure on data scientists to be that person. >> Oh my gosh, they're so busy doing their job. How can we expect them to explain, and I mean, >> Right. >> And to spend 100% of their time explaining it to the rest of us? >> And this is the challenge with some of the regulations like GDPR. We aren't set up yet, as organizations, to accommodate this complexity of understanding, and I think that this part of the market is going to move very quickly, so as vendors, one of the things that we can do is continue to help by building out applications that make it easy for information stewardship. How do you lower the barrier for these specialist roles and make it easy for them to do their job by using AI and machine learning, where appropriate, to help scale the manual work, but keeping a human in the loop to certify that data asset, or to add additional explanation and then taking their work and using AI, machine learning, and automation to propagate that work out throughout the organization, so that everyone then has access to those explanations. So you're no longer requiring the data scientists to hold like, I know other organizations that hold office hours, and the data scientist like sits at a desk, like you did in college, and people can come in and ask them questions about neural nets. That's just not going to scale at today's pace of business. >> Right, right. >> You know, the term that I used just now, the algorithm or model whisperer, you know, the recommend-er function that is built into your environment, in similar data catalog, is a key piece of infrastructure to rank the relevance rank, you know, the outputs of the catalog or responses to queries that human beings might make. You know, the recommendation ranking is critically important to help human beings assess the, you know, what's going on in the system, and give them some advice about how to, what avenues to explore, I think, so. >> Yeah, yeah. And that's part of our definition of data catalog. It's not just this inventory of technical metadata. >> That would be boring, and dry, and useless. >> But that's where, >> For most human beings. >> That's where a lot of vendor solutions start, right? >> Yeah. >> And that's an important foundation. >> Yeah, for people who don't live 100% of their work day inside the big data catalog. I hear what you're saying, you know. >> Yeah, so people who want a data catalog, how you make that relevant to the business is you connect those technical assets, that technical metadata with how is the business actually using this in practice, and how can we have proactive recommendation or the recommendation engines, and certifications, and this information steward then communicating through this platform to others in the organization about how do you interpret this data and how do you use it to actually make business decisions. And I think that's how we're going to close the gap between technology adoption and actual data-driven decision-making, which we're not quite seeing yet. We're only seeing about 30, when they survey, only about 36% of companies are actually confident they're making data-driven decisions, even though there have been, you know, millions, if not billions of dollars that have gone into the data analytics market and investments, and it's because as a manager, I don't quite have the data literacy yet, and I don't quite have the transparency across the rest of the organization to close that trust gap on analytics. >> Here's my feeling, in terms of cultural transformations across businesses in general. I think the legal staff of every company is going to need to get real savvy on using those kinds of tools, like your catalog, with recommendation engines, to support e-discovery, or discovery of the algorithmic decision paths that were taken by their company's products, 'cause they're going to be called by judges and juries, under a subpoena and so forth, and so on, to explain all this, and they're human beings who've got law degrees, but who don't know data, and they need the data environment to help them frame up a case for what we did, and you know, so, we being the company that's involved. >> Yeah, and our politicians. I mean, anyone who's read Cathy's book, Weapons of Math Destruction, there are some great use cases of where, >> Math, M-A-T-H, yeah. >> Yes, M-A-T-H. But there are some great examples of where algorithms can go wrong, and many of our politicians and our representatives in government aren't quite ready to have that conversation. I think anyone who watched the Zuckerberg hearings you know, in congress saw the gap of knowledge that exists between >> Oh my gosh. >> The legal community, and you know, and the tech community today. So there's a lot of work to be done to get ready for this new future. >> But just getting back to the cultural transformation needed to be, to make data-driven decisions, one of the things you were talking about is getting the managers to trust the data, and we're hearing about what are the best practices to have that happen in the sense, of starting small, be willing to experiment, get out of the lab, try to get to insight right away. What are, what would your best advice be, to gain trust in the data? >> Yeah, I think the biggest gap is this issue of transparency. How do you make sure that everyone understands each step of the process and has access to be able to dig into that. If you have a foundation of transparency, it's a lot easier to trust, rather than, you know, right now, we have kind of like the high priesthood of analytics going on, right? (Rebecca laughs) And some believers will believe, but a lot of folks won't, and, you know, the origin story of Alation is really about taking these concepts of the scientific revolution and scientific process and how can we support, for data analysis, those same steps of scientific evaluation of a finding. That means that you need to publish your data set, you need to allow others to rework that data, and come up with their own findings, and you have to be open and foster conversations around data in your organization. One other customer of ours, Meijer, who's a grocery store in the mid-west, and if you're west coast or east coast-based, you might not have heard of them-- >> Oh, Meijers, thrifty acres. I'm from Michigan, and I know them, yeah. >> Gigantic. >> Yeah, there you go. Gigantic grocery chain in the mid-west, and, Joe Oppenheimer there actually introduced a program that he calls the social contract for analytics, and before anyone gets their license to use Tableau, or MicroStrategy, or SaaS, or any of the tools internally, he asks those individuals to sign a social contract, which basically says that I'll make my work transparent, I will document what I'm doing so that it's shareable, I'll use certain standards on how I format the data, so that if I come up with a, with a really insightful finding, it can be easily put into production throughout the rest of the organization. So this is a really simple example. His inspiration for that social contract was his high school freshman. He was entering high school and had to sign a social contract, that he wouldn't make fun of the teachers, or the students, you know, >> I love it. >> Very simple basics. >> Yeah, right, right, right. >> I wouldn't make fun of the teacher. >> We all need social contract. >> Oh my gosh, you have to make fun of the teacher. >> I think it was a little more formal than that, in the language, but that was the concept. >> That's violating your civil rights as a student. I'm sorry. (Stephanie laughs) >> Stephanie, always so much fun to have you here. Thank you so much for coming on. >> Thank you. It's a pleasure to be here. >> I'm Rebecca Knight, for James Kobielus. We'll have more of theCUBE's live coverage of DataWorks just after this.

Published Date : Jun 20 2018

SUMMARY :

brought to you by Hortonworks. She is the Vice President of Marketing Thank you for having me and that humans actually of the time is that yeah. I mean, who can crack but also make sure that the robots That's right. And really canceled because Alation is in the and the analysis of it. and leading to actual recommendations the way I see it. and to be comfortable with It's a requirement for GDPR compliance, the metadata, but also helping to manage that plays into what Alation that metadata or the data itself, or supplement and complement the data. it's all the logic, I love to geek out, but, She's the normal human being I'm normal. I'm the abnormal and know what to apply that needs to be in the That's right, we're always hiring. and how they should be able to apply that. Yeah, this conference It's a business culture and how comprehensive they are. in the organization. and in standard language? on data scientists to be to explain, and I mean, and the data scientist to rank the relevance rank, you know, definition of data catalog. and dry, and useless. And that's an important inside the big data catalog. and I don't quite have the transparency and so on, to explain all this, Yeah, and our politicians. and many of our politicians and the tech community today. is getting the managers to trust the data, and has access to be and I know them, yeah. or the students, you know, the teacher. the teacher. in the language, but that was That's violating much fun to have you here. It's a pleasure to be here. We'll have more of theCUBE's live coverage

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Stephanie Joe, VMware | Women Transforming Technology (wt2) 2018


 

(upbeat music) >> Announcer: From the VMware campus in Palo Alto, CA Its theCUBE covering Women Transforming Technology. (music beats) >> I'm Lisa Martin with theCUBE and we are on the ground in Palo Alto at VMware for the third annual Women Transforming Technology event. Excited to be talking with Stephanie Joe, next Vice President of Operations in the Networking and Security business here at VMware. Hi Stephanie. >> Hi, thanks for having me. >> Lisa: Thanks for joining me today >> Lisa: Absolutely, our pleasure >> So, you've been in tech for a long time at VMware, for about five years. >> Stephanie: Yes >> Tell me a little bit about your journey in tech. Was it, did you want to get into software and technology many years ago? >> Stephanie: So being actually a native of the Silicone Valley and being raised in this in California, my father worked for a high tech company for 30 plus years. And so, for me it was natural to go into technology. I'm very much of a finance person and numbers person, so it gave me the opportunity to take my desire for math and my desire for finance and be close to products and be close to innovation. So, I would say yes, from early on it was no question that I would be working in technology. Its a great place to be in the Silicone Valley for that. >> Lisa: It is. It really is. >> yeah yeah >> So you were in finance for a long time >> Stephanie: Yes >> then moved into operations. >> Stephanie: Yes, a couple years ago. >> How did you get that courage to go, you know what I've been doing this for a long time >> Stephanie: Yeah >> and you mentioned your dad, you know, working in it for 30 years. >> Stephanie: Yes >> I think parent's generation was you get a job and you do the same thing for 30 or 40 years >> Stephanie: In the same company >> Yes. How did you get that courage internally to go you know what I want to try something different. >> Yeah, so being in finance, I had the opportunity to work in many different groups within the finance organization and as I worked in finance, I got the opportunity to take a look at what was important to me and what was interesting to me and although I love my numbers piece, I also was very much interested in process and operations and holding people accountable. And, I got to a point, honestly, where I was in finance and I tried many different pieces of finance, and I got to a point where okay, what am I going to do next? Um, and there's also something that's been important to me is constantly re reinvigorating myself, and rebranding myself, not rebranding but continuing my brand. And as part of that, operations was just the next natural piece and I had thought about making that dive many different times in my finance career, but there was always either that risk of oh its a little scary, or there was something else I still wanted to do within finance. And an opportunity came along a couple of years ago, and specifically in the networking security space. And VMware, it is one of the highest priorities within the company and because of the technology, and because of the opportunity, I said you know, now is the right time to go do this. Now is the right time to take that leap, take that chance. And, at the same time, I also knew I had the backing of supporters and mentors to help me be successful in that move. Um, I knew it wasn't going to be a slam dunk. I've always told people you almost have to do that next thing that you know you're going to be able to contribute, yet at the same time, its a little scary And, you have to have the confidence and the planning around that confidence to go for it. Um and take that risk. And its been worthwhile. It has been a nice change. Its given me new energy and I think I know I am contributing to the company. >> And it must feel good. >> Stephanie: Yes >> You talked about, touched on a number of points we have heard today at the Women Transforming Technology event where we, you know things were kicked off this morning, ahh with Laylah Ali who talked about having, finding that courage, and that confidence. Um, but also needing to be mentioned being around an organization, whether its an organization or just a group who support whatever change that you are thinking of making, >> Yeah >> And I do think some change that's scary is good >> Yeah >> Ah, but I think that is one of the hallmarks of women transforming technology >> Stephanie: Yes >> is this consortium of industry, nonprofits, academia coming together to to confront head on the issues, the diversity issues that we're facing. >> Not just as women in technologies, >> Stephanie: Right a lot of different gaps >> Right But, also providing that support and enabling women and men >> Stephanie: Right >> to have mentors to learn from because it isn't just >> Stephanie: Yes >> challenging to get women in tech, its very challenging to retain women in technology who leave at very high rates >> yes >> for other careers. >> Correct Correct >> So how did you at being at, you said, Cisco for quite a long time and now >> correct VMware five years, >> Did you have women in leadership positions that you looked up to that were mentors to you? >> I think, so its interesting when you dive into your career at the very beginning, long time ago, you don't necessarily think about okay who are my mentors or who do I look up to? Or is there women specifically who can support me? I think for me its become just natural and I've had the opportunity where I've had a combination of both leaders, men and women, that have been mentors to me and supporters and as I moved forward in my career, I've discovered what was important was having, even a diverse set of mentors, men and women, but a circle of women around me too, that were living the challenges I was living. And I also don't think I realized some of the diversity challenges I was living until I got to a certain point and I looked back and went wow and I listened and part of WT2 allows you to listen to some of the other challenges that other people are having and you realize, I'm not alone and that person is experiencing the same thing that I'm experiencing. and I've now turned into a position of, where I am like, how can I help you? How can I help that you live through the same things that um, I've lived through. How can I help you and how can I help you contribute? This is a forum that allows us to come together and create new mentors, to get away from the everyday busyness and be selfish for a day and think about myself and how can I improve on things. Um, but really to connect and share our stories. >> You mentioned >> Stephanie: So I am thankful for that >> the word accountability earlier too and I think one of the things that's great about women transforming technology, women who code, we also, we cover a lot of women events, women and data science. Its at the VMware level, VMware is a huge organization very successful for many years, >> Stephanie: Yes >> But, they the this long-standing partnership Stanford and now the Clayman Institute, and now the new Innovation Lab, from an accountability perspective you are starting to see it. I shouldn't say starting, but you're seeing it in a big way >> Yes >> That's a big investment >> Stephanie: Yeah big investment by a big corporation >> Yes >> With 20 plus thousand people and of course Stanford University. >> Stephanie: right To look at what are these big barriers, um, that are effecting, that effect everybody >> Stephanie: That effect everybody. >> And how can they start to identify them and start to eradicate them and having companies participate and step up to be accountable to that is huge. >> Its huge. And I think, you know, its a journey, right. And I think we all started a couple of years ago just looking at the facts and looking at the data, and not pushing but I think presenting the facts of this is what our own diversity metrics look like. Not just men versus women, but, you know, different different you know, diversity factors in addition to okay, as a result of these facts, then what should we do as far as the next step. And I think over the past couple of years, there has been a natural progression around we're going to start looking at this and we're going to start asking questions, and we're going to start holding people accountable to doing what they said they were going to do from a people perspective, Diversity being one of them. So its been nice seeing that evolvement. Exciting to me is the partnership between VMware and Stanford because I think it takes it to the next level of its not just the data, its not just the facts, its not just we know its important, its what are the underlying behaviors underneath it, what are the underlying actions that we now can take, not just for VMware, not just for Stanford, but for the whole entire community, right? And that's what its all about. Its about coming together as a multiple different companies coming together as a great institution like Stanford coming together saying how can we make a difference in the community that we live in and make a difference from a technology perspective, so >> Yeah >> Its exciting to me and I think it will be interesting to be a part of the journey, but also see where we are a year from now, two years from now. >> Right, so you've, you sound like you have sort of found you voice with ah, wanting to be inspire inspirational >> Stephanie: yeah to other women, whatever stage of their career. >> Stephanie: Yeah >> It just seems like something that sort of occurred to you. Hey, I've been through this. I'm not the only one. A lot of people go through this. Um, what was that kind of ah hah moment when you said I have an opportunity here to give back. >> Stephanie: Yeah, I think its interesting cause I look back and I'm like there wasn't, well maybe their were a couple of moments, where I am like wait wait that comment just made, that was because I was a woman not because of what I was contributing. And, either it was like, okay, that was an interesting comment and how do I handle it. But it really wasn't, I think, until I was up in the higher ranks, right, and I starting saying okay, I've done a lot, we've been very results oriented, how do I start giving back? And how do I start mentoring others? And it started out as mentoring others that were maybe new college grads or maybe just new people to the company. And as I started mentoring to others, then I started realizing too that some of the women that I was mentoring, wait, their living through the same things that I lived through. And there was a big time where I thought oh it was just Stephanie. Right, oh, its just unique to me. Nobody else was dealing with this or it I also went through a period of like I wasn't any different than anybody else, right. And then as I started going through this, I realized no there's others that are living the same path that I lived. Um, and I think that I can help them grow and contribute to their own growth. And by the way, me, at the same time, me learn from them, um which is what its all about. >> Lisa: Very symbiotic >> Yeah >> It takes events like this, like WT squared, to identify hey, there is a lot of commonality and challenges that we all face regardless of gender or sexual orientation or what not. The more you are aware of some of these challenges, the more we can identify how how do we hold acc organizations or what not accountable. It takes that courage though to come together and be the one to raise your hand thinking you might have a dumb question when of course there really are no dumb questions (laugher) And finding that support, I mean, the strength in numbers, right, that's what the Golden State >> Warriors, Golden State Warriors >> Exactly. >> It is the team I love (laugher) >> Um, but its really true and its a very pervasive feeling when you come to an event like this, you walk in, and you feel that there's this inclusion >> Stephanie: Yeah >> Lisa: Across >> Stephanie: You feel the power of the people in the audience, but you also feel the affirmation from the panels or you know, Laylah Ali who is speaking today and her struggles and her journey, um, and just saying I can identify with that, right. I'm not alone, but also how do we together come together and have a voice, right? How do we hold others accountable? And doing it in a way that is fair. I think that's what all of us are ask for. Its not, I have never asked for special treatment because I am a woman or because I am an Asian, but because its fair, right, and I'm treated fair, and I'm treated the way that my peers are treated. Um, and I think that's what we all want. >> Yeah >> Yeah >> You mentioned Laylah Ali, her keynote this morning was it was great. >> Phenomenal I think its so, you you can tell, even if I hadn't seen her speak, you know Laylah Ali is a very strong woman >> Stephanie: Yes >> Physically, mentally, but it was really refreshing for her to say hey there's moments where I got to recheck, what's my purpose here, what am I doing. >> Stephanie: My inside warrior >> Yes, and I love that she said you know we got to find that inner warrior. She's in there >> Yeah >> Sometimes she's quiet, um, maybe has some tape across her mouth, but seeing a naturally innately strong female saying sometimes I don't feel that way, I think that is a very important message to get out, to all of those people, regardless of gender or orientation who don't have this sort of natural confidence that a Laylah Ali has. That's normal. >> Yeah yeah. And for me hearing somebody else say, a couple of things she said having that interior warrior, inside warrior, who, okay give yourself a day to feel bad. Give yourself a day to deal with it. And then its time to go back for the fight. Its time to go focus on what's important to you and bring out that passion and go. And, how many times have all of us felt that? Um, many a times. Um, the other part that, for me, that really hit home for me was confidence. And its funny, cause some people will say Oh,Steph you have very high confidence and I am like no I don't. And she said something to confidence is in planning and being prepared. >> Lisa: Yes >> And as I think about that, that is something that is very true. It resonated very close to me and I think about as I talk to women and they I say you are going to go into this meeting, think about how you are going to prepare for that meeting. Because then it allows you to immediately say yep, this is what we should do. Yep, this is my idea. To be able to have that voice. So I would say for me, those were probably the two pieces, right, confidence and preparation, or being prepared to have confidence and the inside warrior where it just really hit home for me. >> The preparation thing I thought was really cool too because we talk a lot about imposter syndrome. >> Stephanie: Yeah >> And its a real issue that a lot of people face, >> Stephanie: Very true >> Whatever stage of career they are at or industry, but she's right in that if you're prepared for whatever it is that you are doing, that confidence will come. But preparation is really key. >> Stephanie: Yeah I chuckle a little bit because when you say the imposter piece, I will admit I think there was a time in my career where I acted a certain way, and I was in meetings as a certain way, or I went down a path because that's the path you should go down, right. Um, but it wasn't true to myself and so I think the part around being prepared, being confident as a result of being prepared, really allows you to be true to yourself and allows you to bring out the passion. That's important. Um, and that applies to everybody, not just us. >> It does. So in your, kind of wrapping things up here, what are some of the cultural um shifts that you've seen being in tech industry for 20 years and some of the things you are looking forward to in the next year at VMware? >> Stephanie: Yeah, so I will say, cultural shifts, just from the standpoint of awareness, right. I think that is a very important piece of people being respectful and aware of the environment that we're in and people having the conversations. I don't think we would even be having these conversations 10 years ago. and there is multiple different reasons for that. Whether it be results of showing with inclusion and with diversity, you have better business results. Um, or whether it be people speaking up and saying hey, we have a right to have a voice. We have a right to be treated in a certain way. And so, from a culture standpoint, that voice and that awareness has then lead to being able to have the conversations of how people should be treated, how they should be respected, and how we um, should even have the discussion with each other. Right? Looking forward, I look forward to the fact of being able to have a stronger voice. And when I say a stronger voice, I don't mean hey, let's go for the fight and let's make sure we've go the right numbers. But it really is the voice in the room. Um, I think we still have the discussion around the numbers. We haven't necessarily had the discussion of how do we make sure that the people in the room, that is a diverse set of people, that their voices come out, so we get a diverse set of of suggestions and ideas to come to the best outcome. >> Stephanie, thank you so much for stopping by theCUBE, >> Stephanie: Thank you for having me. >> And sharing your backstory and your history. And um, its really nice to hear from other mentors who recognize and are proud to be in that position. So, thank you. >> Its a pleasure. Thank you >> We want to thank you for watching theCUBE. Lisa Martin, on the ground at VMware for the third annual Women Transforming Technology. Thanks for watching. (closing music beats)

Published Date : May 24 2018

SUMMARY :

Announcer: From the VMware campus in Palo Alto, CA Excited to be talking with Stephanie Joe, at VMware, for about five years. Was it, did you want to get into software and so it gave me the opportunity to take my desire for math It really is. and you mentioned your dad, you know, working in How did you get that courage internally to go I got the opportunity to take a look at what was important Um, but also needing to be mentioned being around the diversity issues that we're facing. and that person is experiencing the same thing that of the things that's great about women transforming Stanford and now the Clayman Institute, and now the and of course Stanford University. And how can they start to identify them and and Stanford because I think it takes it to the next level to be a part of the journey, but also see where we are to other women, whatever stage of their career. Um, what was that kind of ah hah moment when you said and contribute to their own growth. And finding that support, I mean, the strength in numbers, Um, and I think that's what we all want. You mentioned Laylah Ali, her keynote this morning was for her to say hey there's moments where I got to Yes, and I love that she said you know we got to find saying sometimes I don't feel that way, I think that is Its time to go focus on what's important to you and to women and they I say you are going to go The preparation thing I thought was really cool too that you are doing, that confidence will come. Um, and that applies to everybody, not just us. you are looking forward to in the next year at VMware? that awareness has then lead to being able And sharing your backstory and your history. Thank you We want to thank you for watching theCUBE.

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Nenshad Bardoliwalla & Stephanie McReynolds | BigData NYC 2017


 

>> Live from midtown Manhattan, it's theCUBE covering Big Data New York City 2017. Brought to you by Silicon Angle Media and its ecosystem sponsors. (upbeat techno music) >> Welcome back, everyone. Live here in New York, Day Three coverage, winding down for three days of wall to wall coverage theCUBE covering Big Data NYC in conjunction with Strata Data, formerly Strata Hadoop and Hadoop World, all part of the Big Data ecosystem. Our next guest is Nenshad Bardoliwalla Co-Founder and Chief Product Officer of Paxata, hot start up in the space. A lot of kudos. Of course, they launched on theCUBE in 2013 three years ago when we started theCUBE as a separate event from O'Reilly. So, great to see the success. And Stephanie McReynolds, you've been on multiple times, VP of Marketing at Alation. Welcome back, good to see you guys. >> Thank you. >> Happy to be here. >> So, winding down, so great kind of wrap-up segment here in addition to the partnership that you guys have. So, let's first talk about before we get to the wrap-up of the show and kind of bring together the week here and kind of summarize everything. Tell about your partnership you guys have. Paxata, you guys have been doing extremely well. Congratulations. Prakash was talking on theCUBE. Great success. You guys worked hard for it. I'm happy for you. But partnering is everything. Ecosystem is everything. Alation, their collaboration with data. That's there ethos. They're very user-centric. >> Nenshad: Yes. >> From the founders. Seemed like a good fit. What's the deal? >> It's a very natural fit between the two companies. When we started down the path of building new information management capabilities it became very clear that the market had strong need for both finding data, right? What do I actually have? I need an inventory, especially if my data's in Amazon S3, my data is in Azure Blob storage, my data is on-premise in HDFS, my data is in databases, it's all over the place. And I need to be able to find it. And then once I find it, I want to be able to prepare it. And so, one of the things that really drove this partnership was the very common interests that both companies have. And number one, pushing user experience. I love the Alation product. It's very easy to use, it's very intuitive, really it's a delightful thing to work with. And at the same time they also share our interests in working in these hybrid multicloud environments. So, what we've done and what we announced here at Strata is actually this bi-directional integration between the products. You can start in Alation and find a data set that you want to work with, see what collaboration or notes or business metadata people have created and then say, I want to go see this in Paxata. And in a single click you can then actually open it up in Paxata and profile that data. Vice versa you can also be in Paxata and prepare data, and then with a single click push it back, and then everybody who works with Alation actually now has knowledge of where that data is. So, it's a really nice synergy. >> So, you pushed the user data back to Alation, cause that's what they care a lot about, the cataloging and making the user-centric view work. So, you provide, it's almost a flow back and forth. It's a handshake if you will to data. Am I getting that right? >> Yeah, I mean, the idea's to keep the analyst or the user of that data, data scientist, even in some cases a business user, keep them in the flow of their work as much as possible. But give them the advantage of understanding what others in the organization have done with that data prior and allow them to transform it, and then share that knowledge back with the rest of the community that might be working with that data. >> John: So, give me an example. I like your Excel spreadsheet concept cause that's obvious. People know what Excel spreadsheet is so. So, it's Excel-like. That's an easy TAM to go after. All Microsoft users might not get that Azure thing. But this one, just take me through a usecase. >> So, I've got a good example. >> Okay, take me through. >> It's very common in a data lake for your data to be compressed. And when data's compressed, to a user it looks like a black box. So, if the data is compressed in Avro or Parquet or it's even like JSON format. A business user has no idea what's in that file. >> John: Yeah. >> So, what we do is we find the file for them. It may have some comments on that file of how that data's been used in past projects that we infer from looking at how others have used that data in Alation. >> John: So, you put metadata around it. >> We put a whole bunch of metadata around it. It might be comments that people have made. It might be >> Annotations, yeah. >> actual observations, annotations. And the great thing that we can do with Paxata is open that Avro file or Parquet file, open it up so that you can actually see the data elements themselves. So, all of a sudden, the business user has access without having to use a command line utility or understand anything about compression, and how you open that file up-- >> John: So, as Paxata spitting out there nuggets of value back to you, you're kind of understanding it, translating it to the user. And they get to do their thing, you get to do your thing, right? >> It's making a Avro or a Parquet file as easy to use as Excel, basically. Which is great, right? >> It's awesome. >> Now, you've enabled >> a whole new class of people who can use that. >> Well, and people just >> Get turned off when it's anything like jargon, or like, "What is that? I'm afraid it's phishing. Click on that and oh!" >> Well, the scary thing is that in a data lake environment, in a lot of cases people don't even label the files with extensions. They're just files. (Stephanie laughs) So, what started-- >> It's like getting your pictures like DS, JPEG. It's like what? >> Exactly. >> Right. >> So, you're talking about unlabeled-- >> If you looked on your laptop, and if you didn't have JPEG or DOC or PPT. Okay, I don't know that this file is. Well, what you have in the data lake environment is that you have thousands of these files that people don't really know what they are. And so, with Alation we have the ability to get all the value around the curation of the metadata, and how people are using that data. But then somebody says, "Okay, but I understand that this file exists. What's in it?" And then with Click to Profile from Alation you're immediately taken into Paxata. And now you're actually looking at what's in that file. So, you can very quickly go from this looks interesting to let me understand what's inside of it. And that's very powerful. >> Talk about Alation. Cause I had the CEO on, also their lead investor Greg Sands from Costanoa Ventures. They're a pretty amazing team but it's kind of out there. No offense, it's kind of a compliment actually. (Stephanie laughs) >> They got a symbolic >> Stephanie: Keep going. system Stanford guy, who's like super-smart. >> Nenshad: Yeah. >> They're on something that's really unique but it's almost too simple to be. Like, wait a minute! Google for the data, it's an awesome opportunity. How do you describe Alation to people who say, "Hey, what's this Alation thing?" >> Yeah, so I think that the best way to describe it is it's the browser for all of the distributed data in the enterprise. Sorry, so it's both the catalog, and the browser that sits on top of it. It sounds very simple. Conceptually it's very simple but they have a lot of richness in what they're able to do behind the scenes in terms of introspecting what type of work people are doing with data, and then taking that knowledge and actually surfacing it to the end user. So, for example, they have very powerful scenarios where they can watch what people are doing in different data sources, and then based on that information actually bubble up how queries are being used or the different patterns that people are doing to consume data with. So, what we find really exciting is that this is something that is very complex under the covers. Which Paxata is as well being built upon Spark. But they have put in the hard engineering work so that it looks simple to the end user. And that's the exact same thing that we've tried to do. >> And that's the hard problem. Okay, Stephanie back ... That was a great example by the way. Can't wait to have our little analyst breakdown of the event. But back to Alation for you. So, how do you talk about, you've been VP of Marketing of Alation. But you've been around the block. You know B2B, tech, big data. So, you've seen a bunch of different, you've worked at Trifacta, you worked at other companies, and you've seen a lot of waves of innovation come. What's different about Alation that people might not know about? How do you describe the difference? Because it sounds easy, "Oh, it's a browser! It's a catalog!" But it's really hard. Is it the tech that's the secret? Is it the approach? How do you describe the value of Alation? I think what's interesting about Alation is that we're solving a problem that since the dawn of the data warehouse has not been solved. And that is how to help end users really find and understand the data that they need to do their jobs. A lot of our customers talk about this-- >> John: Hold on. Repeat that. Cause that's like a key thing. What problem hasn't been solved since the data warehouse? >> To be able to actually find and fully understand, understand to the point of trust the data that you want to use for your analysis. And so, in the world of-- >> John: That sounds so simple. >> Stephanie: In the world of data warehousing-- >> John: Why is it so hard? >> Well, because in the world of data warehousing business people were told what data they should use. Someone in IT decided how to model the data, came up with a KPR calculation, and told you as a business person, you as a CEO, this is how you're going to monitor you business. >> John: Yeah. >> What business person >> Wants to be told that by an IT guy, right? >> Well, it was bounded by IT. >> Right. >> Expression and discovery >> Should be unbounded. Machine learning can take care of a lot of bounded stuff. I get that. But like, when you start to get into the discovery side of it, it should be free. >> Well, no offense to the IT team, but they were doing their best to try to figure out how to make this technology work. >> Well, just look at the cost of goods sold for storage. I mean, how many EMC drives? Expensive! IT was not cheap. >> Right. >> Not even 10, 15, 20 years ago. >> So, now when we have more self-service access to data, and we can have more exploratory analysis. What data science really introduced and Hadoop introduced was this ability on-demand to be able to create these structures, you have this more iterative world of how you can discover and explore datasets to come to an insight. The only challenge is, without simplifying that process, a business person is still lost, right? >> John: Yeah. >> Still lost in the data. >> So, we simply call that a catalog. But a catalog is much more-- >> Index, catalog, anthology, there's other words for it, right? >> Yeah, but I think it's interesting because like a concept of a catalog is an inventory has been around forever in this space. But the concept of a catalog that learns from other's behavior with that data, this concept of Behavior I/O that Aaron talked about earlier today. The fact that behavior of how people query data as an input and that input then informs a recommendation as an output is very powerful. And that's where all the machine learning and A.I. comes to work. It's hidden underneath that concept of Behavior I/O but that's there real innovation that drives this rich catalog is how can we make active recommendations to a business person who doesn't have to understand the technology but they know how to apply that data to making a decision. >> Yeah, that's key. Behavior and textual information has always been the two fly wheels in analysis whether you're talking search engine or data in general. And I think what I like about the trends here at Big Data NYC this weekend. We've certainly been seeing it at the hundreds of CUBE events we've gone to over the past 12 months and more is that people are using data differently. Not only say differently, there's baselining, foundational things you got to do. But the real innovators have a twist on it that give them an advantage. They see how they can use data. And the trend is collective intelligence of the customer seems to be big. You guys are doing it. You're seeing patterns. You're automating the data. So, it seems to be this fly wheel of some data, get some collective data. What's your thoughts and reactions. Are people getting it? Is this by people doing it by accident on purpose kind of thing? Did people just fell on their head? Or you see, "Oh, I just backed into this?" >> I think that the companies that have emerged as the leaders in the last 15 or 20 years, Google being a great example, Amazon being a great example. These are companies whose entire business models were based on data. They've generated out-sized returns. They are the leaders on the stock market. And I think that many companies have awoken to the fact that data as a monetizable asset to be turned into information either for analysis, to be turned into information for generating new products that can then be resold on the market. The leading edge companies have figured that out, and our adopting technologies like Alation, like Paxata, to get a competitive advantage in the business processes where they know they can make a difference inside of the enterprise. So, I don't think it's a fluke at all. I think that most of these companies are being forced to go down that path because they have been shown the way in terms of the digital giants that are currently ruling the enterprise tech world. >> All right, what's your thoughts on the week this week so far on the big trends? What are obvious, obviously A.I., don't need to talk about A.I., but what were the big things that came out of it? And what surprised you that didn't come out from a trends standpoint buzz here at Strata Data and Big Data NYC? What were the big themes that you saw emerge and didn't emerge what was the surprise? Any surprises? >> Basically, we're seeing in general the maturation of the market finally. People are finally realizing that, hey, it's not just about cool technology. It's not about what distribution or package. It's about can you actually drive return on investment? Can you actually drive insights and results from the stack? And so, even the technologists that we were talking with today throughout the course of the show are starting to talk about it's that last mile of making the humans more intelligent about navigating this data, where all the breakthroughs are going to happen. Even in places like IOT, where you think about a lot of automation, and you think about a lot of capability to use deep learning to maybe make some decisions. There's still a lot of human training that goes into that decision-making process and having agency at the edge. And so I think this acknowledgement that there should be balance between human input and what the technology can do is a nice breakthrough that's going to help us get to the next level. >> What's missing? What do you see that people missed that is super-important, that wasn't talked much about? Is there anything that jumps out at you? I'll let you think about it. Nenshad, you have something now. >> Yeah, I would say I completely agree with what Stephanie said which we are seeing the market mature. >> John: Yeah. >> And there is a compelling force to now justify business value for all the investments people have made. The science experiment phase of the big data world is over. People now have to show a return on that investment. I think that being said though, this is my sort of way of being a little more provocative. I still think there's way too much emphasis on data science and not enough emphasis on the average business analyst who's doing work in the Fortune 500. >> It should be kind of the same thing. I mean, with data science you're just more of an advanced analyst maybe. >> Right. But the idea that every person who works with data is suddenly going to understand different types of machine learning models, and what's the right way to do hyper parameter tuning, and other words that I could throw at you to show that I'm smart. (laughter) >> You guys have a vision with the Excel thing. I could see how you see that perspective because you see a future. I just think we're not there yet because I think the data scientists are still handcuffed and hamstrung by the fact that they're doing too much provisioning work, right? >> Yeah. >> To you're point about >> surfacing the insights, it's like the data scientists, "Oh, you own it now!" They become the sysadmin, if you will, for their department. And it's like it's not their job. >> Well, we need to get them out of data preparation, right? >> Yeah, get out of that. >> You shouldn't be a data scientist-- >> Right now, you have two values. You've got the use interface value, which I love, but you guys do the automation. So, I think we're getting there. I see where you're coming from, but still those data sciences have to set the tone for the generation, right? So, it's kind of like you got to get those guys productive. >> And it's not a .. Please go ahead. >> I mean, it's somewhat interesting if you look at can the data scientist start to collaborate a little bit more with the common business person? You start to think about it as a little bit of scientific inquiry process. >> John: Yeah. >> Right? >> If you can have more innovators around the table in a common place to discuss what are the insights in this data, and people are bringing business perspective together with machine learning perspective, or the knowledge of the higher algorithms, then maybe you can bring those next leaps forward. >> Great insight. If you want my observations, I use the crazy analogy. Here's my crazy analogy. Years it's been about the engine Model T, the car, the horse and buggy, you know? Now, "We got an engine in the car!" And they got wheels, it's got a chassis. And so, it's about the apparatus of the car. And then it evolved to, "Hey, this thing actually drives. It's transportation." You can actually go from A to B faster than the other guys, and people still think there's a horse and buggy market out there. So, they got to go to that. But now people are crashing. Now, there's an art to driving the car. >> Right. >> So, whether you're a sports car or whatever, this is where the value piece I think hits home is that, people are driving the data now. They're driving the value proposition. So, I think that, to me, the big surprise here is how people aren't getting into the hype cycle. They like the hype in terms of lead gen, and A.I., but they're too busy for the hype. It's like, drive the value. This is not just B.S. either, outcomes. It's like, "I'm busy. I got security. I got app development." >> And I think they're getting smarter about how their valuing data. We're starting to see some economic models, and some ways of putting actual numbers on what impact is this data having today. We do a lot of usage analysis with our customers, and looking at they have a goal to distribute data across more of the organization, and really get people using it in a self-service manner. And from that, you're being able to calculate what actually is the impact. We're not just storing this for insurance policy reasons. >> Yeah, yeah. >> And this cheap-- >> John: It's not some POC. Don't do a POC. All right, so we're going to end the day and the segment on you guys having the last word. I want to phrase it this way. Share an anecdotal story you've heard from a customer, or a prospective customer, that looked at your product, not the joint product but your products each, that blew you away, and that would be a good thing to leave people with. What was the coolest or nicest thing you've heard someone say about Alation and Paxata? >> For me, the coolest thing they said, "This was a social network for nerds. I finally feel like I've found my home." (laughter) >> Data nerds, okay. >> Data nerds. So, if you're a data nerd, you want to network, Alation is the place you want to be. >> So, there is like profiles? And like, you guys have a profile for everybody who comes in? >> Yeah, so the interesting thing is part of our automation, when we go and we index the data sources we also index the people that are accessing those sources. So, you kind of have a leaderboard now of data users, that contract one another in system. >> John: Ooh. >> And at eBay leader was this guy, Caleb, who was their data scientist. And Caleb was famous because everyone in the organization would ask Caleb to prepare data for them. And Caleb was like well known if you were around eBay for awhile. >> John: Yeah, he was the master of the domain. >> And then when we turned on, you know, we were indexing tables on teradata as well as their Hadoop implementation. And all of a sudden, there are table structures that are Caleb underscore cussed. Caleb underscore revenue. Caleb underscore ... We're like, "Wow!" Caleb drove a lot of teradata revenue. (Laughs) >> Awesome. >> Paxata, what was the coolest thing someone said about you in terms of being the nicest or coolest most relevant thing? >> So, something that a prospect said earlier this week is that, "I've been hearing in our personal lives about self-driving cars. But seeing your product and where you're going with it I see the path towards self-driving data." And that's really what we need to aspire towards. It's not about spending hours doing prep. It's not about spending hours doing manual inventories. It's about getting to the point that you can automate the usage to get to the outcomes that people are looking for. So, I'm looking forward to self-driving information. Nenshad, thanks so much. Stephanie from Alation. Thanks so much. Congratulations both on your success. And great to see you guys partnering. Big, big community here. And just the beginning. We see the big waves coming, so thanks for sharing perspective. >> Thank you very much. >> And your color commentary on our wrap up segment here for Big Data NYC. This is theCUBE live from New York, wrapping up great three days of coverage here in Manhattan. I'm John Furrier. Thanks for watching. See you next time. (upbeat techo music)

Published Date : Oct 3 2017

SUMMARY :

Brought to you by Silicon Angle Media and Hadoop World, all part of the Big Data ecosystem. in addition to the partnership that you guys have. What's the deal? And so, one of the things that really drove this partnership So, you pushed the user data back to Alation, Yeah, I mean, the idea's to keep the analyst That's an easy TAM to go after. So, if the data is compressed in Avro or Parquet of how that data's been used in past projects It might be comments that people have made. And the great thing that we can do with Paxata And they get to do their thing, as easy to use as Excel, basically. a whole new class of people Click on that and oh!" the files with extensions. It's like getting your pictures like DS, JPEG. is that you have thousands of these files Cause I had the CEO on, also their lead investor Stephanie: Keep going. Google for the data, it's an awesome opportunity. And that's the exact same thing that we've tried to do. And that's the hard problem. What problem hasn't been solved since the data warehouse? the data that you want to use for your analysis. Well, because in the world of data warehousing But like, when you start to get into to the IT team, but they were doing Well, just look at the cost of goods sold for storage. of how you can discover and explore datasets So, we simply call that a catalog. But the concept of a catalog that learns of the customer seems to be big. And I think that many companies have awoken to the fact And what surprised you that didn't come out And so, even the technologists What do you see that people missed the market mature. in the Fortune 500. It should be kind of the same thing. But the idea that every person and hamstrung by the fact that they're doing They become the sysadmin, if you will, So, it's kind of like you got to get those guys productive. And it's not a .. can the data scientist start to collaborate or the knowledge of the higher algorithms, the car, the horse and buggy, you know? So, I think that, to me, the big surprise here is across more of the organization, and the segment on you guys having the last word. For me, the coolest thing they said, Alation is the place you want to be. Yeah, so the interesting thing is if you were around eBay for awhile. And all of a sudden, there are table structures And great to see you guys partnering. See you next time.

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Stephanie McReynolds, Alation & Lee Paries, Think Big Analytics - #BigDataSV - #theCUBE


 

>> Voiceover: San Jose, California, tt's theCUBE, covering Big Data Silicon Valley 2017. (techno music) >> Hey, welcome back everyone. Live in Silicon Valley for Big Data SV. This is theCUBE coverage in conjunction with Strata + Hadoop. I'm John Furrier with George Gilbert at Wikibon. Two great guests. We have Stephanie McReynolds, Vice President of startup Alation, and Lee Paries who is the VP of Think Big Analytics. Thanks for coming back. Both been on theCUBE, you have been on theCUBE before, but Think Big has been on many times. Good to see you. What's new, what are you guys up to? >> Yeah, excited to be here and to be here with Lee. Lee and I have a personal relationship that goes back quite aways in the industry. And then what we're talking about today is the integration between Kylo, which was recently announced as an open source project from Think Big, and Alation's capability to sit on top of Kylo and to gather to increase the velocity of data lake initiatives, kind of going from zero to 60 in a pretty short amount of time to get both technical value from Kylo and business value from Alation. >> So talk about Alation's traction, because you guys has been an interesting startup, a lot of great press. George is a big fan. He's going to jump in with some questions, but some good product fit with the market. What's the update? What's some of the status on the traction in terms of the company and customers and whatnot? >> Yeah, we've been growing pretty rapidly for a startup. We've doubled our production customer count from last time we talked. Some great brand names. Munich Reinsurance this morning was talking about their implementation. So they have 600 users of Alation in their organization. We've entered Europe, not only with Munich Reinsurance but Tesco is a large account of ours in Europe now. And here in the States we've seen broad adoption across a wide range of industries, every one from Pfizer in the healthcare space to eBay, who's been our longest standing customer. They have about 1,000 weekly users on Alation. So not only a great increase in number of logos, but also organic growth internally at many of these companies across data scientists, data analysts, business analysts, a wide range of users of the product, as well. >> It's been interesting. What I like about your approach, and we talk about Think Big about it before, we let every guest come in so far that's been in the same area is talking about metadata layers, and so this is interesting, there's a metadata data addressability if you will for lack of a better description, but yet human usable has to be integrating into human processes, whether it's virtualization, or any kind of real time app or anything. So you're seeing this convergence between I need to get the data into an app, whether it's IoT data or something else, really really fast, so really kind of the discovery pieces now, the interesting layer, how competitive is it, and what's the different solutions that you guys see in this market? >> Yeah, I think it's interesting, because metadata has kind of had a revival, right? Everyone is talking about the importance in metadata and open integration with metadata. I think really our angle is as Alation is that having open transfer of technical metadata is very important for the foundation of analytics, but what really brings that technical metadata to life is also understanding what is the business context of what's happening technically in the system? What's the business context of data? What's the behavioral context of how that data has been used that might inform me as an analyst? >> And what's your unique approach to that? Because that's like the Holy Grail. It's like translating geek metadata, indexing stuff into like usable business outcomes. It's been a cliche for years, you know. >> The approach is really based on machine learning and AI technology to make recommendations to business users about what might be interesting to them. So we're at a state in the market where there is so much data that is available and that you can access, either in Hadoop as a data lake or in a data warehouse in a database like Teradata, that today what you need as state of the art is the system to start to recommend to you what might be interesting data for you to use as a data scientist or an analyst, and not just what's the data you could use, but how accurate is that data, how trustworthy is it? I think there's a whole nother theme of governance that's rising that's tied to that metadata discussion, which is it's not enough to just shove bits and bytes between different systems anymore. You really need to understand how has this data been manipulated and used and how does that influence my security considerations, my privacy considerations, the value I'm going to be able to get out of that data set? >> What's your take on this, 'cause you guys have a relationship. How is Think Big doing? Then talk about the partnership you guys have with Alation. >> Sure, so I mean when you look at what we've done specifically to an open source project it's the first one that Teradata has fully sponsored and released based on Apache 2.0 called Kylo, it's really about the enablement of the full data lake platform and the full framework, everywhere from ingest, to securing it, to governing it, which part of that is collecting is part of that process, the basic technical and business metadata so later you can hand it over to the user so they could sample, they could profile the data, they can find, they can search in a Google like manner, and then you can enable the organization with that data. So when you look at it from a standpoint of partnering together, it's really about collecting that data specifically within Hadoop to enable it, yet with the ability then to hand it off to more the enterprise wide solution like Alation through API connections that connect to that, and then for them they enrich it in a way that they go about it with the social collaboration and the business to extend it from there. >> So that's the accelerant then. So you're accelerating the open source project in through this new, with Alation. So you're still going to rock and roll with the open source. >> Very much going to rock and roll with the open source. So it's really been based on five years of Think Big's work in the marketplace over about 150 data lakes. The IT we've built around that to do things repeatedly, consistently, and then releasing that in the last two years, dedicated development based on Apache Spark and NiFi to stand that out. >> Great work by the way. Open sources continue to be more relevant. But I got to get your perspective on a meme that's been floating around day one here, and maybe it's because of the election, but someone said, "We got to drain the data swamp, "and make data great again." And not a play on Trump, but the data lake is going through a transition and saying, "Okay, we've got data lakes," but now this year it's been a focus on making that much more active and cleaner and making sure it doesn't become a swamp if you will. So there's been a focus of taking data lake content and getting it into real time, and IoT has kind of I think been a forcing function. But you guys, do you guys have a perspective on that on where data lakes are going? Certainly it's been trending conversation here at the show. >> Yeah, I think IoT has been part of drain that data swamp, but I think also now you have a mass of business analysts that are starting to get access to that data in the lake. These Hadoop implementations are maturing to the stage where you have-- >> John: To value coming out of it. >> Yeah, and people are trying to wring value out of that lake, and sometimes finding that it is harder than they expected because the data hasn't been pre-prepared for them. This old world of IT would pre-prepare the data, and then I got a single metric or I got a couple metrics to choose from is now turned on its head. People are taking a more exploratory, discovery oriented approach to navigating through their data and finding that the nuisances of data really matter when trying to evolve an insight. So the literacy in these organizations and their awareness of some of the challenges of a lake are coming to the forefront, and I think that's a healthy conversation for us all to have. If you're going to have a data driven organization, you have to really understand the nuisances of your data to know where to apply it appropriately to decision making. >> So (mumbles) actually going back quite a few years when he started at Microsoft said, Internet software has changed paradigm so much in that we have this new set of actions where it was discover, learn, try, buy, recommend, and it sounds like as a consumer of data in a data lake we've added or preppended this discovery step. Where in a well curated data warehouse it was learn, you had your X dimensions that were curated and refined, and you don't have that as much with the data lake. I guess I'm wondering, it's almost like if you're going to take, as we were talking to the last team with AtScale and moving OLAP to be something you consume on a data lake the way you consume on a data warehouse, it's almost like Alation and a smart catalog is as much a requirement as a visualization tool is by itself on a data warehouse? >> I think what we're seeing is this notion of data needing to be curated, and including many brains and many different perspectives in that curation process is something that's defining the future of analytics and how people use technical metadata, and what does it mean for the devops organization to get involved in draining that swamp? That means not only looking at the elements of the data that are coming in from a technical perspective, but then collaborating with a business to curate the value on top of that data. >> So in other words it's not just to help the user, the business analyst, navigate, but it's also to help the operational folks do a better job of curating once they find out who's using it, who's using the data and how. >> That's right. They kind of need to know how this data is going to be used in the organization. The volumes are so high that they couldn't possibly curate every bit and byte that is stored in the data lake. So by looking at how different individuals in the organization and different groups are trying to access that data that gives early signal to where should we be spending more time or less time in processing this data and helping the organization really get to their end goals of usage. >> Lee, I want to ask you a question. On your blog post, I just was pointed out earlier, you guys quote a Gartner stat which says, which is pretty doom and gloom, which said, "70% of Hadoop deployments in 2017 "will either fail or deliver their estimated cost savings "of their predicted revenue." And then it says, "That's a dim view, "but not shared by the Kylo community." How are you guys going to make the Kylo data lake software work well? What's your thoughts on that? Because I think people, that's the number one, again, question that I highlighted earlier is okay, I don't want a swamp, so that's fear, whether they get one or not, so they worry about data cleansing and all these things. So what's Kylo doing that's going to accelerate, or lower that number, of fails in the data lake world? >> Yeah sure, so again, a lot of it's through experience of going out there and seeing what's done. A lot of people have been doing a lot of different things within the data lakes, but when you go in there there's certain things they're not doing, and then when you're doing them it's about doing them over consistently and continually improving upon that, and that's what Kylo is, it's really a framework that we keep adding to, and as the community grows and other projects come in there can enhance it we bring the value. But a lot of times when we go in it it's basically end users can't get to the data, either one because they're not allowed to because maybe it's not secured and relied to turn it over to them and let them drive with it, or they don't know the data is there, which goes back to basic collecting the basic metadata and data (mumbles) to know it's there to leverage it. So a lot of times it's going back and looking at and leveraging what we have to build that solid foundation so IT and operations can feel like they can hand that over in a template format so business users could get to the data and start acting off of that. >> You just lost your mic there, but Stephanie, I got to ask you a question. So just on a point of clarification, so you guys, are you supporting Kylo? Is that the relationship, or how does that work? >> So we're integrated with Kylo. So Kylo will ingest data into the lake, manage that data lake from a security perspective giving folks permissions, enables some wrangling on that data, and what Alation is receiving then from Kylo is that technical metadata that's being created along that entire path. >> So you're certified with Kylo? How does that all work from the customer standpoint? >> That's a very much integration partnership that we'd be working together. >> So from a customer standpoint it's clean and you then provide the benefits on the other side? >> Correct. >> Yeah, absolutely. We've been working with data lake implementations for some time, since our founding really, and I think this is an extension of our philosophy that the data lakes are going to play an important role that are going to complement databases and analytics tools, business intelligence tools, and the analytics environment, and the open source is part of the future of how folks are building these environments. So we're excited to support the Kylo initiative. We've had a longstanding relationship with Teradata as a partner, so it's a great way to work together. >> Thanks for coming on theCUBE. Really appreciate it, and thank... What do you think of the show you guys so far? What's the current vibe of the show? >> Oh, it's been good so far. I mean, it's one day into it, but very good vibe so far. Different topics and different things-- >> AI machine learning. You couldn't be more happier with that machine learning-- >> Great to see machine learning taking a forefront, people really digging into the details around what it means when you apply it. >> Stephanie, thanks for coming on theCUBE, really appreciate it. More CUBE coverage after the show break. Live from Silicon Valley, I'm John Furrier with George Gilbert. We'll be right back after this short break. (techno music)

Published Date : Mar 15 2017

SUMMARY :

(techno music) What's new, what are you guys up to? and to gather to increase He's going to jump in with some questions, And here in the States we've seen broad adoption that you guys see in this market? Everyone is talking about the importance in metadata Because that's like the Holy Grail. is the system to start to recommend to you Then talk about the partnership you guys have with Alation. and the business to extend it from there. So that's the accelerant then. and NiFi to stand that out. and maybe it's because of the election, to the stage where you have-- and finding that the nuisances of data really matter to be something you consume on a data lake and many different perspectives in that curation process but it's also to help the operational folks and helping the organization really get in the data lake world? and data (mumbles) to know it's there to leverage it. but Stephanie, I got to ask you a question. and what Alation is receiving then from Kylo that we'd be working together. that the data lakes are going to play an important role What's the current vibe of the show? Oh, it's been good so far. You couldn't be more happier with that machine learning-- people really digging into the details More CUBE coverage after the show break.

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