(bright, upbeat music playing) >> Hello, Brilliant Cloud community and welcome back to AWS re:Invent, where we are live all day everyday from the show floor, here in Las Vegas, Nevada. I'm Savannah Peterson joined by my beautiful co-host, Lisa Martin here on theCUBE. Lisa, you're smiling, you're radiating, day three, you would think it was day one. How you doing? >> Amazing. I can't believe the energy that has been maintained >> It's been a theme. on this show floor, since Monday night at 4:00 pm. >> I know, and I kind of thought today we might see some folks trickling out. It is packed, as our guests and I were, we were all just talking about, right before the segment, almost too packed which is a really great sign for AWS. >> It is. We're hearing north of 55,000 people here. And of course, we only get a little snapshot of what's at the Venetian. >> Literally this corner, yeah. We don't get to see anything else around The Strip, that's going on, so it's massive. >> Yeah, it is very massive. I'm super excited. We've got two guests from Infosys with us on this last segment from this stage today. David and Anant, welcome to the show. How you doing? >> Awesome. >> You're both smiling and I am really excited. We have our first prop of the show, (David and Anant laughing) and it's a pretty flashy, sexy prop. Anant, what's going on here? >> Oh, so this is something that we are very proud of. Last year we won one award, which was very special for us because it was our first award with AWS, and that was, "The Industry Partner of The Year Award." And on the back of that, this year we won three awards and this is super awesome for us, because all of them are very special. One was in collaboration, second was in design, and third was in sustainability. So we are very proud, and we thank AWS, and it's a fantastic partnership. >> Yeah, congratulations. >> Anant: Yes. I mean that's huge. >> Yes, it's absolutely huge. And the second one is, we are the Launch Partner for MSK, which again is a very proud thing for us. So I think those are the two things that we wanted to talk about. >> How many awards are you going to win next year then? (all laughing) >> We want to target more than three. (Savannah chuckles) >> Keep it going up. >> Probably five, right? >> So it's the odd numbers, one, three, five, seven, ten. Yeah. Yeah. Yeah. >> Savannah: There you go. >> I think we got that question last year and we said we'd get two, and we ended up over-delivering with three, so who knows? >> Hey, nothing wrong with setting the bar low and clearing it. And I mean, not setting it low, setting it with one and clearing it with three is pretty fantastic. We talk about it as an ego thing sometimes with awards and it feels great for internal culture, but David, what does it mean on the partnership side to win awards like that? >> So what's really important for us with our partners is to make sure that we're achieving their goals, and when their goals are achieved in our partnership it's just the byproduct that we're achieving our own with our clients. The awards are a great representation of that to see, you know, again, being recognized in three different categories really shows that we've had success with AWS, and in turn, you know, Anant and I can attest to it. We've been very successful at the partnership on our side. >> Yeah, and I bet it's really exciting for the team. Just speaking for Energy (indistinct) >> And there's celebration, you know, there's been a few cocktails being raised... >> Has there? In Las Vegas? >> David: I know. Cocktails? >> Lisa Martin: Shocking! I'm shocked! >> Lisa Martin: I know! (all laughing) I wouldn't mind one right now to be really, really honest. Let's dig into the product a little bit. Infosys Cobalt. What's the scoop, Anant? >> Yeah, so first of all, we were the first ones to actually launch a Cloud brand called Cobalt, right? We were the first ones in the world. In fact, one of our competitor followed us soon after. So essentially what we did was we brought all our Cloud offerings into one brand called Cobalt. It becomes very clear to our customers on what our proposition is. It is very consistent to the market in terms of what our narrative is. And it's a little easy for our customers to understand what we bring to the table. So Cobalt is not one product or what one platform it's a set of services, solutions and platforms that we bring to accelerate customer's journey where they're leveraging Cloud. So that's what Cobalt is. >> Awesome, everyone wants to do everything faster. >> Yes. >> Lisa Martin: Yeah. >> And the booth was packed. I walked by earlier, it was absolutely buzzing. >> Yes. >> Yeah. Nobody wants to do, you know, wants less data slower. >> Anant: Yes. (Savannah laughs) >> It's always more faster. >> Anant: More faster. And we're living in this explosion unlike anything this swarm of data unlike anything that we've ever seen before. Every company, regardless of industry has to be a data company. >> Anant: Yes. But they have to be able to work with the right partners to extract, to first of all harness all that data, extract insights in real time, because of course on the consumer side we're not patient anymore. >> Anant: Yes. We expect a personalized, realtime, custom experience. >> Anant: Absolutely. >> How do you work with AWS to help deliver that and how do the partners help deliver that as well? >> Well I'll start with on the partner side of it. You walk through the hallways here or down the aisles you see partners like MongoDB, Snowflake, Databricks and such, they're all attesting their commitment and their strong partnership with AWS, and coincidentally they're also very good partners of our own. And as a result... >> Savannah: One big happy family here at AWS when you met. >> And this is something that I'm calling, coining the phrase sub-ecosystems. These are partnerships where one is successful with each other, and then the three come together, and we go together with an integrated solution. And it's really taking off. It's something that's really powerful. The fun thing about re:Invent here is isn't just that we're having amazing discussions with our clients and AWS, but we're also having with the other partners here about how we can all work together so... And data analytics is a big one, security is another hot one-- >> Lisa Martin: Security is huge. >> Savannah: Yeah. Cost optimization from the start. >> Absolutely. And Ruba was saying this, right? Ruba said, like she was giving example of a marathoner. Marathon is not a single man or a single woman sport, right? So similarly Cloud journey is a team's, sort of you know, team journey, so that's why partners play a big role in that and that's exactly what we are trying to do. >> So you guys get to see a lot of different companies across a lot of different industries. We're living in very interesting times, how do you see the Cloud evolving? >> Oh, yeah. So what we did when we launched Cobalt in 2020 we have now evolved our story. We call it Cobalt 2.0. And essentially what we wanted to do was to focus on industry Clouds. So it's not just about taking a workload and moving it from point A to point B or moving data to Cloud or getting out of data centers, but it's also being very specific to the industry that this specific customer belongs to, right? So for example, if we go to banking they would say we want to better our security posture. If we go to a retailer they want to basically have smart stores. If we go to a manufacturing customer they want to have a smart factory. So we want to make sure that there are specific industry blueprints and specific reference architectures that we bring and start delivering outcomes. So we call it something called... >> Savannah: I know you're hot on business outcomes. >> Yes. >> Savannah: Yes. So we call it something called the link of life forces. So there are six technologies; Cloud, Data, Edge, IOT, 5G, and AI. They will come together to deliver business outcomes. So that's where we are heading with Cobalt 2.0, And that's essentially what we want to do with our customers. >> Savannah: It's a lot to think about. >> Yes. >> David: Yes. >> And, yeah, go for it David. >> I was just saying from a partnering perspective, you know prior to Cloud, we were talking about transactional type businesses where if you ask a technology company who their partner is its generally a reseller where they're just basically taking one product and selling it to their client. What's happened with cloud now it's not about the transaction upfront it's about the actual, you know, the consumption of the technology and the bringing together all of these to form an outcome, it changes the model dramatically, and quite honestly, the global system integrators like Infosys are in great position because we can pull that together to the benefit of our partners, put our own secret sauce around it and take these solutions to market and drive consumption because that's what the Cloud's all about. >> Right. Well, how are you helping customers really treat Cloud as a strategic focus? You know we often hear companies talk about we're Cloud first. Well not everything belongs in the Cloud. So then we hear companies start talking about being Cloud smart. >> Anant: Yes. How are you helping, and so we'll go with that. How are you helping enterprises really become Cloud smart and where is the partner angle? So we'll start with you and then we'll bring the partner angle in. >> Oh yeah, big time. I think one of the things that we have been educating our customers is Cloud is not about cost takeout. So Cloud is about innovation, Cloud is about growth. And I'll give two examples. One of the beauty products companies they wanted to set up their shop in US and they said that, you know, "we don't have time to basically buy the infrastructure, implement an ERP platform, and you know, or roll it out, test it and go into production. We don't have so much time. Time to market is very important for us." And they embarked on the Cloud journey. So expanding into new market, Cloud can play a big role. That is one of the ways to expand and you know, grow your business. Similarly, there is another company that they wanted to go into retail banking, right? And they didn't have years to launch a product. So they actually use AWS and it's a joint Infosys and AWS customer. A pretty big bank. They launched retail banking and they did it in less than six months. So I think these are some of the examples of cloud not being cost takeout but it's about innovation and growth. So that's what we are trying to tell customers. >> Savannah: Big impacts. >> Big impact. Yes, absolutely. >> And that's where the Cobalt assets come into play as well. You know, as Anant mentioned, we have literally thousands of these industries specific and they're derived in a lot of cases in partnership with the companies you see down the aisles here, and AWS. And it accelerates the deployments and ensures a successful adoption, more so than before. You know, we have clients that are coming to us now that used to buy, run their own procurement. You know they would have... Literally there was one bank that came to us with a over a hundred products >> The amount of work. I'm just seeing it... >> A list of a hundred products. Some they bought directly from a vendor, some they went through a distributor, some they went through a reseller and such, >> Savannah: It's so ad-hoc. And they're looking at this in a completely different way and they're looking to rationalize those technologies, again, look for companies that will contract for a business outcome and leverage the cloud and get to that next era, and it's a fun time. We're really excited. >> I can imagine you're really a part of the transformation process for a lot of these companies. >> Anant: Absolutely. Anant when we were chatting before we went live you talked about your passion for business outcomes. Can you give us a couple examples of customers or business outcomes that really get you and the team excited? Same thing to you David, after. >> Well, absolutely. Even our contractual structures are now moving into business outcomes. So we are getting paid by the outcomes that we are delivering, right? So, one of the insurance customers that we have we actually get paid by the number of claims that we process, right? Similarly there is a healthcare customer where we actually get paid by the number of customers that we cater to from a Medicare and Medicaid standpoint, right? >> Savannah: Tangible results processed and projected-- >> Successful process of claims. >> Interesting. >> Anant: Exactly. >> Yeah. (indistinct) reality. >> Yeah, reality, (chuckles) What a novel idea. >> Yeah. (Savannah and Lisa chuckle) >> One of the great examples you hear about airplane engines now that the model is you don't buy the engine, you basically pay for the hours that it's used, and the maintenance and the downtime, so that you take the risk away. You know, you put that in the context of the traditional business. You're taking away the risk of owning the individual asset, the maintenance, any of the issues, the bug fixes. And again, you're partnering with a company like Infosys, we'll take on that based upon our knowledge and based upon our vast experience we can confidently contract in that way that, you know, years ago that wasn't possible. >> Savannah: It's kind of a sharing economy at scale style. >> David: Exactly. >> Anant: Absolutely. >> Yeah, which is really exciting. So we have a new challenge here on theCUBE this year at re:Invent. We are looking for your 32nd Instagram real sizzle soundbite. Your hot take, your thought leadership on the biggest theme or most important thing coming out of this year's show. David, we'll start with you. We've been starting with Anant, so I'm going to go to you. We're making eye contact right now so you're in the hot seat. (all laugh) >> Well, I think there was a lot of time given to sustainability on the stage this week, and I think that, you know, every CEO that we talk to is bringing that up as a major priority and that's a very important element for us as a company and as a service provider. >> Savannah: I mean, you're obviously award winning in the sustainability department. >> Exactly. Nice little plug there. >> Yeah. >> You know, and I think the other things that have come up we saw a lot about data analytics this week. You know, I think new offerings from AWS but also new partnerships that we're going to take advantage of. And again, security has been a hot topic. >> Absolutely. Anant, what's your hot take? >> Yeah. I think one very exciting thing for partners like us is the re-imagining that is being done by Ruba for the partners, right? The AWS marketplace. I think that is a big, big thing that I took out. Of course, sustainability is huge. Like Adam said, the fastest way to become sustainable is to move to Cloud, right? So rather than overthinking and over-engineering this whole topic just take your workloads and move it to Cloud and you'll be sustainable, right? So I think that's the second one. And third is of course cybersecurity. Zscaler, Palo Alto, CrowdStrike, these are some of the big companies that are at the event here, and we have been partnering with them. Many more. I'm just calling out three names, but many more. I think cybersecurity is the next one. So I think these are three on top of my mind. >> Just a few things you casually think about. That was great. Great responses from both of you Anant, David, such a pleasure to have you both with us. We hope to have you back again. You're doing such exciting things. I'm sure that everything we talked about is going to be a hot topic for many years to come as people navigate the future as well as continue their business transformations. It is always a joy to sit next to you on stage my dear. >> Likewise. And thank all of you, wherever you're tuning in from, for joining us here at AWS re:Invent live from Las Vegas, Nevada. With Lisa Martin, I'm Savannah Peterson, and for the last time today, this is theCUBE, the leader in high tech coverage. (bright, upbeat music playing)

>>Mhm Hello and welcome to the cubes coverage of AWS amazon web services, Global public Sector partner awards program. I'm john for your host of the cube here we're gonna talk about the best covid solution to great guests. Benham or with healthcare and life sciences lead at palantir Ben welcome to the cube SAm Michaels, Director of automation and compound management and Cats. National Center for advancing translational sciences and Cats. Part of the NIH National sort of health Gentlemen, thank you for coming on and and congratulations on the best covid solution. >>Thank you so much john >>so I gotta, I gotta ask you the best solution is when can I get the vaccine? How fast how long it's gonna last but I really appreciate you guys coming on. I >>hope you're vaccinated. I would say john that's outside of our hands. I would say if you've not got vaccinated, go get vaccinated right now, have someone stab you in the arm, you know, do not wait and and go for it. That's not on us. But you got that >>opportunity that we have that done. I got to get on a plane and all kinds of hoops to jump through. We need a better solution anyway. You guys have a great technical so I wanna I wanna dig in all seriousness aside getting inside. Um you guys have put together a killer solution that really requires a lot of data can let's step back and and talk about first. What was the solution that won the award? You guys have a quick second set the table for what we're talking about. Then we'll start with you. >>So the national covered cohort collaborative is a secure data enclave putting together the HR records from more than 60 different academic medical centers across the country and they're making it available to researchers to, you know, ask many and varied questions to try and understand this disease better. >>See and take us through the challenges here. What was going on? What was the hard problem? I'll see everyone had a situation with Covid where people broke through and cloud as he drove it amazon is part of the awards, but you guys are solving something. What was the problem statement that you guys are going after? What happened? >>I I think the problem statement is essentially that, you know, the nation has the electronic health records, but it's very fragmented, right. You know, it's been is highlighted is there's there's multiple systems around the country, you know, thousands of folks that have E H. R. S. But there is no way from a research perspective to actually have access in any unified location. And so really what we were looking for is how can we essentially provide a centralized location to study electronic health records. But in a Federated sense because we recognize that the data exist in other locations and so we had to figure out for a vast quantity of data, how can we get data from those 60 sites, 60 plus that Ben is referencing from their respective locations and then into one central repository, but also in a common format. Because that's another huge aspect of the technical challenge was there's multiple formats for electronic health records, there's different standards, there's different versions. And how do you actually have all of this data harmonised into something which is usable again for research? >>Just so many things that are jumping in my head right now, I want to unpack one at the time Covid hit the scramble and the imperative for getting answers quickly was huge. So it's a data problem at a massive scale public health impact. Again, we were talking before we came on camera, public health records are dirty, they're not clean. A lot of things are weird. I mean, just just massive amount of weird problems. How did you guys pull together take me through how this gets done? What what happened? Take us through the the steps He just got together and said, let's do this. How does it all happen? >>Yeah, it's a great and so john, I would say so. Part of this started actually several years ago. I explain this when people talk about in three C is that and Cats has actually established what we like to call, We support a program which is called the Clinical translation Science Award program is the largest single grant program in all of NIH. And it constitutes the bulk of the Cats budget. So this is extra metal grants which goes all over the country. And we wanted this group to essentially have a common research environment. So we try to create what we call the secure scientific collaborative platforms. Another example of this is when we call the rare disease clinical research network, which again is a consortium of 20 different sites around the nation. And so really we started working this several years ago that if we want to Build an environment that's collaborative for researchers around the country around the world, the natural place to do that is really with a cloud first strategy and we recognize this as and cats were about 600 people now. But if you look at the size of our actual research community with our grantees were in the thousands. And so from the perspective that we took several years ago was we have to really take a step back. And if we want to have a comprehensive and cohesive package or solution to treat this is really a mid sized business, you know, and so that means we have to treat this as a cloud based enterprise. And so in cats several years ago had really gone on this strategy to bring in different commercial partners, of which one of them is Palin tear. It actually started with our intramural research program and obviously very heavy cloud use with AWS. We use your we use google workspace, essentially use different cloud tools to enable our collaborative researchers. The next step is we also had a project. If we want to have an environment, we have to have access. And this is something that we took early steps on years prior that there is no good building environment if people can't get in the front door. So we invested heavily and create an application which we call our Federated authentication system. We call it unified and cats off. So we call it, you know, for short and and this is the open source in house project that we built it and cats. And we wanted to actually use this for all sorts of implementation, acting as the front door to this collaborative environment being one of them. And then also by by really this this this interest in electronic health records that had existed prior to the Covid pandemic. And so we've done some prior work via mixture of internal investments in grants with collaborative partners to really look at what it would take to harmonize this data at scale. And so like you mentioned, Covid hit it. Hit really hard. Everyone was scrambling for answers. And I think we had a bit of these pieces um, in play. And then that's I think when we turned to ban and the team at volunteer and we said we have these components, we have these pieces what we really need. Something independent that we can stand up quickly to really address some of these problems. One of the biggest one being that data ingestion and the harmonization step. And so I can let Ben really speak to that one. >>Yeah. Ben Library because you're solving a lot of collaboration problems, not just the technical problem but ingestion and harmonization ingestion. Most people can understand is that the data warehousing or in the database know that what that means? Take us through harmonization because not to put a little bit of shade on this, but most people think about, you know, these kinds of research or non profits as a slow moving, you know, standing stuff up sandwich saying it takes time you break it down. By the time you you didn't think things are over. This was agile. So take us through what made it an agile because that's not normal. I mean that's not what you see normally. It's like, hey we'll see you next year. We stand that up. Yeah. At the data center. >>Yeah, I mean so as as Sam described this sort of the question of data on interoperability is a really essential problem for working with this kind of data. And I think, you know, we have data coming from more than 60 different sites and one of the reasons were able to move quickly was because rather than saying oh well you have to provide the data in a certain format, a certain standard. Um and three C. was able to say actually just give us the data how you have it in whatever format is easiest for you and we will take care of that process of actually transforming it into a single standard data model, converting all of the medical vocabularies, doing all of the data quality assessment that's needed to ensure that data is actually ready for research and that was very much a collaborative endeavor. It was run out of a team based at johns Hopkins University, but in collaboration with a broad range of researchers who are all adding their expertise and what we were able to do was to provide the sort of the technical infrastructure for taking the transformation pipelines that are being developed, that the actual logic and the code and developing these very robust kind of centralist templates for that. Um, that could be deployed just like software is deployed, have changed management, have upgrades and downgrades and version control and change logs so that we can roll that out across a large number of sites in a very robust way very quickly. So that's sort of that, that that's one aspect of it. And then there was a bunch of really interesting challenges along the way that again, a very broad collaborative team of researchers worked on and an example of that would be unit harmonization and inference. So really simple things like when a lab result arrives, we talked about data quality, um, you were expected to have a unit right? Like if you're reporting somebody's weight, you probably want to know if it's in kilograms or pounds, but we found that a very significant proportion of the time the unit was actually missing in the HR record. And so unless you can actually get that back, that becomes useless. And so an approach was developed because we had data across 60 or more different sites, you have a large number of lab tests that do have the correct units and you can look at the data distributions and decide how likely is it that this missing unit is actually kilograms or pounds and save a huge portion of these labs. So that's just an example of something that has enabled research to happen that would not otherwise have been able >>just not to dig in and rat hole on that one point. But what time saving do you think that saves? I mean, I can imagine it's on the data cleaning side. That's just a massive time savings just in for Okay. Based on the data sampling, this is kilograms or pounds. >>Exactly. So we're talking there's more than 3.5 billion lab records in this data base now. So if you were trying to do this manually, I mean, it would take, it would take to thousands of years, you know, it just wouldn't be a black, it would >>be a black hole in the dataset, essentially because there's no way it would get done. Ok. Ok. Sam take me through like from a research standpoint, this normalization, harmonization the process. What does that enable for the, for the research and who decides what's the standard format? So, because again, I'm just in my mind thinking how hard this is. And then what was the, what was decided? Was it just on the base records what standards were happening? What's the impact of researchers >>now? It's a great quite well, a couple things I'll say. And Ben has touched on this is the other real core piece of N three C is the community, right? You know, And so I think there's a couple of things you mentioned with this, johN is the way we execute this is, it was very nimble, it was very agile and there's something to be said on that piece from a procurement perspective, the government had many covid authorities that were granted to make very fast decisions to get things procured quickly. And we were able to turn this around with our acquisition shop, which we would otherwise, you know, be dead in the water like you said, wait a year ago through a normal acquisition process, which can take time, but that's only one half the other half. And really, you're touching on this and Ben is touching on this is when he mentions the research as we have this entire courts entire, you know, research community numbering in the thousands from a volunteer perspective. I think it's really fascinating. This is a really a great example to me of this public private partnership between the companies we use, but also the academic participants that are actually make up the community. Um again, who the amount of time they have dedicated on this is just incredible. So, so really, what's also been established with this is core governance. And so, you know, you think from assistance perspective is, you know, the Palin tear this environment, the N three C environment belongs to the government, but the N 33 the entire actually, you know, program, I would say, belongs to the community. We have co governance on this. So who decides really is just a mixture between the folks on End Cats, but not just end cast as folks at End Cats, folks that, you know, and I proper, but also folks and other government agencies, but also the, the academic communities and entire these mixed governance teams that actually set the stage for all of this. And again, you know, who's gonna decide the standard, We decide we're gonna do this in Oman 5.3 point one um is the standard we're going to utilize. And then once the data is there, this is what gets exciting is then they have the different domain teams where they can ask different research questions depending upon what has interest scientifically to them. Um and so really, you know, we viewed this from the government's perspective is how do we build again the secure platform where we can enable the research, but we don't really want to dictate the research. I mean, the one criteria we did put your research has to be covid focused because very clearly in response to covid, so you have to have a Covid focus and then we have data use agreements, data use request. You know, we have entire governance committees that decide is this research in scope, but we don't want to dictate the research types that the domain teams are bringing to the table. >>And I think the National Institutes of Health, you think about just that their mission is to serve the public health. And I think this is a great example of when you enable data to be surfaced and available that you can really allow people to be empowered and not to use the cliche citizen analysts. But in a way this is what the community is doing. You're doing research and allowing people from volunteers to academics to students to just be part of it. That is citizen analysis that you got citizen journalism. You've got citizen and uh, research, you've got a lot of democratization happening here. Is that part of it was a result of >>this? Uh, it's both. It's a great question. I think it's both. And it's it's really by design because again, we want to enable and there's a couple of things that I really, you know, we we clamor with at end cats. I think NIH is going with this direction to is we believe firmly in open science, we believe firmly in open standards and how we can actually enable these standards to promote this open science because it's actually nontrivial. We've had, you know, the citizen scientists actually on the tricky problem from a governance perspective or we have the case where we actually had to have students that wanted access to the environment. Well, we actually had to have someone because, you know, they have to have an institution that they come in with, but we've actually across some of those bridges to actually get students and researchers into this environment very much by design, but also the spirit which was held enabled by the community, which, again, so I think they go they go hand in hand. I planned for >>open science as a huge wave, I'm a big fan, I think that's got a lot of headroom because open source, what that's done to software, the software industry, it's amazing. And I think your Federated idea comes in here and Ben if you guys can just talk through the Federated, because I think that might enable and remove some of the structural blockers that might be out there in terms of, oh, you gotta be affiliate with this or that our friends got to invite you, but then you got privacy access and this Federated ID not an easy thing, it's easy to say. But how do you tie that together? Because you want to enable frictionless ability to come in and contribute same time you want to have some policies around who's in and who's not. >>Yes, totally, I mean so Sam sort of already described the the UNa system which is the authentication system that encounters has developed. And obviously you know from our perspective, you know we integrate with that is using all of the standard kind of authentication protocols and it's very easy to integrate that into the family platform um and make it so that we can authenticate people correctly. But then if you go beyond authentication you also then to actually you need to have the access controls in place to say yes I know who this person is, but now what should they actually be able to see? Um And I think one of the really great things in Free C has done is to be very rigorous about that. They have their governance rules that says you should be using the data for a certain purpose. You must go through a procedure so that the access committee approves that purpose. And then we need to make sure that you're actually doing the work that you said you were going to. And so before you can get your data back out of the system where your results out, you actually have to prove that those results are in line with the original stated purpose and the infrastructure around that and having the access controls and the governance processes, all working together in a seamless way so that it doesn't, as you say, increase the friction on the researcher and they can get access to the data for that appropriate purpose. That was a big component of what we've been building out with them three C. Absolutely. >>And really in line john with what NIH is doing with the research, all service, they call this raz. And I think things that we believe in their standards that were starting to follow and work with them closely. Multifactor authentication because of the point Ben is making and you raised as well, you know, one you need to authenticate, okay. This you are who you say you are. And and we're recognizing that and you're, you know, the author and peace within the authors. E what do you authorized to see? What do you have authorization to? And they go hand in hand and again, non trivial problems. And especially, you know, when we basis typically a lot of what we're using is is we'll do direct integrations with our package. We using commons for Federated access were also even using login dot gov. Um, you know, again because we need to make sure that people had a means, you know, and login dot gov is essentially a runoff right? If they don't have, you know an organization which we have in common or a Federated access to generate a login dot gov account but they still are whole, you know beholden to the multi factor authentication step and then they still have to get the same authorizations because we really do believe access to these environment seamlessly is absolutely critical, you know, who are users are but again not make it restrictive and not make it this this friction filled process. That's very that's very >>different. I mean you think about nontrivial, totally agree with you and if you think about like if you were in a classic enterprise, I thought about an I. T. Problem like bring your own device to work and that's basically what the whole world does these days. So like you're thinking about access, you don't know who's coming in, you don't know where they're coming in from, um when the churn is so high, you don't know, I mean all this is happening, right? So you have to be prepared two Provisions and provide resource to a very lightweight access edge. >>That's right. And that's why it gets back to what we mentioned is we were taking a step back and thinking about this problem, you know, an M three C became the use case was this is an enterprise I. T. Problem. Right. You know, we have users from around the world that want to access this environment and again we try to hit a really difficult mark, which is secure but collaborative, Right? That's that's not easy, you know? But but again, the only place this environment could take place isn't a cloud based environment, right? Let's be real. You know, 10 years ago. Forget it. You know, Again, maybe it would have been difficult, but now it's just incredible how much they advanced that these real virtual research organizations can start to exist and they become the real partnerships. >>Well, I want to Well, that's a great point. I want to highlight and call out because I've done a lot of these interviews with awards programs over the years and certainly in public sector and open source over many, many years. One of the things open source allows us the code re use and also when you start getting in these situations where, okay, you have a crisis covid other things happen, nonprofits go, that's the same thing. They, they lose their funding and all the code disappears. Saying with these covid when it becomes over, you don't want to lose the momentum. So this whole idea of re use this platform is aged deplatforming of and re factoring if you will, these are two concepts with a cloud enables SAM, I'd love to get your thoughts on this because it doesn't go away when Covid's >>over, research still >>continues. So this whole idea of re platform NG and then re factoring is very much a new concept versus the old days of okay, projects over, move on to the next one. >>No, you're absolutely right. And I think what first drove us is we're taking a step back and and cats, you know, how do we ensure that sustainability? Right, Because my background is actually engineering. So I think about, you know, you want to build things to last and what you just described, johN is that, you know, that, that funding, it peaks, it goes up and then it wanes away and it goes and what you're left with essentially is nothing, you know, it's okay you did this investment in a body of work and it goes away. And really, I think what we're really building are these sustainable platforms that we will actually grow and evolve based upon the research needs over time. And I think that was really a huge investment that both, you know, again and and Cats is made. But NIH is going in a very similar direction. There's a substantial investment, um, you know, made in these, these these these really impressive environments. How do we make sure the sustainable for the long term? You know, again, we just went through this with Covid, but what's gonna come next? You know, one of the research questions that we need to answer, but also open source is an incredibly important piece of this. I think Ben can speak this in a second, all the harmonization work, all that effort, you know, essentially this massive, complex GTL process Is in the N three Seagate hub. So we believe, you know, completely and the open source model a little bit of a flavor on it too though, because, you know, again, back to the sustainability, john, I believe, you know, there's a room for this, this marriage between commercial platforms and open source software and we need both. You know, as we're strong proponents of N cats are both, but especially with sustainability, especially I think Enterprise I. T. You know, you have to have professional grade products that was part of, I would say an experiment we ran out and cast our thought was we can fund academic groups and we can have them do open source projects and you'll get some decent results. But I think the nature of it and the nature of these environments become so complex. The experiment we're taking is we're going to provide commercial grade tools For the academic community and the researchers and let them use them and see how they can be enabled and actually focus on research questions. And I think, you know, N3C, which we've been very successful with that model while still really adhering to the open source spirit and >>principles as an amazing story, congratulated, you know what? That's so awesome because that's the future. And I think you're onto something huge. Great point, Ben, you want to chime in on this whole sustainability because the public private partnership idea is the now the new model innovation formula is about open and collaborative. What's your thoughts? >>Absolutely. And I mean, we uh, volunteer have been huge proponents of reproducibility and openness, um in analyses and in science. And so everything done within the family platform is done in open source languages like python and R. And sequel, um and is exposed via open A. P. I. S and through get repository. So that as SaM says, we've we've pushed all of that E. T. L. Code that was developed within the platform out to the cats get hub. Um and the analysis code itself being written in those various different languages can also sort of easily be pulled out um and made available for other researchers in the future. And I think what we've also seen is that within the data enclave there's been an enormous amount of re use across the different research projects. And so actually having that security in place and making it secure so that people can actually start to share with each other securely as well. And and and be very clear that although I'm sharing this, it's still within the range of the government's requirements has meant that the, the research has really been accelerated because people have been able to build and stand on the shoulders of what earlier projects have done. >>Okay. Ben. Great stuff. 1000 researchers. Open source code and get a job. Where do I sign up? I want to get involved. This is amazing. Like it sounds like a great party. >>We'll send you a link if you do a search on on N three C, you know, do do a search on that and you'll actually will come up with a website hosted by the academic side and I'll show you all the information of how you can actually connect and john you're welcome to come in. Billion by all means >>billions of rows of data being solved. Great tech he's working on again. This is a great example of large scale the modern era of solving problems is here. It's out in the open, Open Science. Sam. Congratulations on your great success. Ben Award winners. You guys doing a great job. Great story. Thanks for sharing here with us in the queue. Appreciate it. >>Thank you, john. >>Thanks for having us. >>Okay. It is. Global public sector partner rewards best Covid solution palantir and and cats. Great solution. Great story. I'm john Kerry with the cube. Thanks for watching. Mm mm. >>Mhm

(upbeat music) >> Hello and welcome to today's session of the 2021 AWS Global Public Sector Partner Awards Program. This session's award is going to be profiling the Most Customer Obsessed Mission-based Win in the education domain. I'm your host, Donald Klein, with theCUBE. And today we are joined by Fernando Castillo. He's the Business Development Manager at CloudHesive, and then also Luis Muñoz, who's the Information Director at the Unibersidad de Los Lagos. >> Okay, everyone. Welcome to today's session. All right. Fernando, thanks for taking some time out and joining us today. Wanted to start with you and wanted to hear a little bit of background about CloudHesive. Obviously, you're a company that had won an award last year, but you're back on this year, again. Want you give us some a little bit of the story of CloudHesive, and what kind of services you provide? (speaking in foreign language) >> Translator: Thank you very much, Donald. Yes, CloudHesive is a managed consulting service provider in the cloud. We are AWS Partner and since 2014 we have been providing solutions focusing on security, trustability, and scalability in the cloud. Accompany companies to their main objective, which is reducing operational costs and increasing their productivity as they move forward in the adaption of cloud services. >> Very good. Okay. And then Luis, I'm going to turn to you now, want you talk to us a little bit about your role there at the Unibersidad de Los Lagos, and how you started this project? (speaking in foreign language) >> Translator: Good afternoon. I belong to the academic department of the engineering department at the University of Los Lagos and the director of the IT of this school. For several years, for about five years, we've been analyzing the deployment of these automation at universities of Chile. Since it's not a common item in the country, we've done several benchmarking worldwide, especially in Spain, Mexico, Columbia, and places where it's more developed. And eventually, we have to take some demos that allowed us to make some decisions. This topic was not going to be considered in 2020, but it happened because of a political situation, social political in Chile in 2019. So we have to move forward the process, but we had already made a global analysis and this was one of the reasons why we have to get closer to AWS Partners and this allowed us to move this process forward within the university. >> Okay. Very good. All right. Well then, what I'm going to do now is I'm going to come back to you, Fernando, and I want you to talk a little bit about the overall goal of what you were trying to help the university with. (speaking in foreign language) >> Translator: Well, within the main objectives we had in the project was to have a platform that would support a concurrent load of thousands of students, especially in University of Los Lagos. They had requested to have around 15,000 students and the main complication or the main challenge was to keep a virtual attendance, which is now known as learning management system, but also having the possibility of having video classes in two days, something similar to what we are doing today, but with 50 or up to 100 students. This was one of the main objectives of the project. >> Okay, understood. So the goal is here to deploy this platform and open source platform and make it available for about 15,000 students. Okay. Now coming back to you, Luis, there was a time constraint here, correct? You needed to get the system going very quickly. Maybe you could explain why you needed to accelerate this program so quickly. (speaking in foreign language) >> Translator: Well, literally, the pandemic conditions in the country started to be more evident and more severe since the first week of March in 2020. And so we have to make the decision, the double-sided decision of choosing an infrastructure that we could not buy at that time, given the emergency, logistic emergency of the pandemic at the server's room and to keep a stable platform for that number of users, student and professors of university. So we started conversations to make this scale up and move everything to the cloud. This was the first decision. So we decided to use Amazon and with CloudHesive, we were able to organize the academics charter in the same platform. So as to move no longer than three weeks so that we could give classes, online classes with the students while we were learning this new normal, which was virtual distance education. This was very difficult of every morning, afternoon, and evening of work, but this allowed us not to fall behind in the first semester of the educational needs of the students. With this modality, we have around 5% more students that we used to last year in 2020, in March 2020. And this allowed us to have a more visible structure for those who were questioning this new modality and we were applied to take this new modality in the end. >> Okay. So because of the pandemic, you had to accelerate the deployment of this learning management system very quickly. And you had to learn how to manage the system at the same time that you were deploying it. Okay. Understood. So a lot of challenges there. All right. So then maybe coming back to you, Fernando. Wanted you talk about your role and how CloudHesive helped with this sort of this very rapid deployment of this LMS system. (speaking in foreign language) >> Translator: Well, talking about the challenges and how we were able to get to the objective, within the plan, deployment and development have to accompany the University of Los Lagos not only with the use of the platform, but also how to change management. One of the biggest challenges was to do a security audit, the deployment of scalable infrastructures. And one of the main topics was, one of the main challenges for CloudHesive that we can now talk about and obtained objective was to do the tests from the point of view of scalability and security getting into 15,000 students, concurrent students, stimulating the workload of the university, keeping 99.5 availability of the platform. Going back to the challenges, it's not only the scalability and stability. Nowadays, the University of Los Lagos platform can continue to grow, as Luis mentioned, without the need to look for new resources. But with our implementation, deployment and development, we already have a scalable resource as they increase the number of professors and students to their university. >> Okay. Understood, understood. Now, maybe talk a little bit just to continue with that point. Maybe talk for a minute about how you leverage the AWS platform in order to be able to accelerate this project. What aspects of your partnership with AWS enabled you to deploy the system so quickly? (speaking in foreign language) >> Translator: Well, talking about that, we based on a referential architecture of AWS, which is an open source middle platform, and within these competencies and within things, they belong to the education. We also have the problems, the presence of (indistinct), which allows us to deploy new solution and new integrations. So this allowed us as the team to, within weeks, to develop new features that would allow us to deal with each of the requirements of the universities, specifically. So within the first week, the University of Los Lagos had the connectivity with the academic sector. On the second week, they had the infrastructure to support out two-way videos. And on the third week, they already had the platform completely deployed with all the security safeguards that we already have in all of our products and services. So having worked hand-in-hand with AWS allowed us to have success in time with this platform. >> Wow. So that's fantastic. You were able to deploy this entire system from the connection with the academics to the video infrastructure to actually getting all the security implementations in place. You were able to do that in a three week cycle, is that correct? >> Yeah, that's correct. >> Fantastic. Okay. So Luis, coming back to you then, so working with CloudHesive as a partner to help deploy the platform on AWS gave you fantastic speed and agility to get the system working. Maybe talk a little bit now about the challenges of getting students and educators to adapt the system, and what kind of successes you had? (speaking in foreign language) >> Translator: First of all, they have to, we need to need to know the geography, the landscape of the university. The geography is very varied. We have mountains and lakes and so forth, and connectivity concepts are very difficult in this area. In addition, University of Los Lagos has the characteristic of receiving students from very poor sectors within the region. So this means that more than 80% have a free education, as there are few universities that exist in the country. So one of the technological challenges was for these students to receive the mechanisms and technology to have the connectivity they needed. After that, we had a very big training plan with the deployment company, CloudHesive, with the permissions, and eventually together, we were able to go beyond students and professors. And I remember we had 50% students and professors logged in to the platform, and nowadays, we have 100% students and professors logged in having classes in the platform. But most importantly, nowadays, we have an analytical control because of an integration with CloudHesive, with certain tools that allow us to gather data in real time. And we can do a follow-up of the student that is closer actually from the previous situation when we didn't have this technology. If the student is not logged in, we can reach them directly or indirectly to know, what is happening with his meeting, which is the kind of support, academic, social or economic support that they need. Before, it was harder to get this. So we have a communion between technology and social services that we can provide as a university. And of course, the adaptability of CloudHesive in as much as most of the requirements that we needed. So as to have a good response, they've been very providing, they provided a very robust service in this terms. >> Fantastic. So you were able to reach 100% percent of your target audience very quickly. Is that correct? Great. >> Yes. >> And maybe just to kind of follow up one more. Just talk a little bit about the future of your program. Now that you've worked so hard to establish the system and to connect your students and your teachers and to optimize the system, what is your plan to use it going forward? Are you looking to expand it? What would you say are your goals? (speaking in foreign language) >> Translator: First of all, for better or for worse, this modality came here to stay. The pandemic may end, but it generated opportunities that nationwide, it moved forward at least seven or eight times faster, these kinds of possibilities. So it's hard to use or waste this opportunity with the face-to-face classes. The university nowadays, thanks to the platform and the work done by CloudHesive and AWS, the university won ministry projects from the Ministry of Education in the country, have a strengthening plans for other kinds of services that were not incorporated before, like the idea of virtual library, research work, academic development work, of training and cultural transformation as well. But eventually, they are happening in this virtually environments. And the university won this possibility through the ministry, bridging the gap between the academic sector and the students. And in order to elaborate a little bit more from the previous question, we did a survey last year and ended not long ago. And most professors said that 80%, more than 80% said that the virtual environment was considered as good or very good. So we have a very good assessment in order to participate in this project that were won by the university and they are nowadays being applied. So this generates development in the academic sector, in research, in library, in content creation, global communication, working together with other universities with work postgraduate courses and other universities without the need of getting out of home. So this is a very competitive advantage that we didn't have before. And since 2020, we were able to develop. >> Fantastic. Well, congratulations on a really well put together program. And I'm excited to hear that you've won an award in your country and that you're planning to expand the system more broadly. I think that's a fantastic success story. So maybe just to wrap this up here with you Fernando, why don't you talk a little bit about, so obviously, you guys were very critical in helping this system be deployed very quickly, but very securely at the same time. How do you see your role going forward in enabling these types of situations, this distance learning type formats? (speaking in foreign language) >> Translator: Well, just as Luis said, taking this project with the University of Los Lagos, this showed the importance of looking at technological advances and to improve the universities and research centers and how to focus on innovation and bringing the future education down. For us, the data generated in this virtual interactions are very valuable and having a clear perspective, so as to organize this data for, to make more effective decisions that allow us to act in real time. This is what we are focusing on right now. So as to keep, I mean, prove, and being able to provide new tools, the research centers and universities to operate quickly, safely, and cost effectively. >> Okay, fantastic. So really, the real lesson learned here is by working with a partner like yourself, you were able take an open source learning management system and then deploy it very quickly, manage it, and then secure it in a way that allowed the university then to do their work. So I think that's a really great end-to-end delivery story. So I think, maybe if you want to make one last comment, Fernando, about your role in any kind of future expansion for this type of work. (speaking in foreign language) >> Translator: Yes, of course. I would like to thank Amazon and University of Los Lagos, of course for giving us the chance to work together and develop this project successfully. And answering your question, I would like to say that this is a good incentive to build more robust solutions, as long as we have our focus on our clients, when working and as a final comment, I would just would like to thank you and hope to see you again with a new project. >> Okay, well, congratulations to you both on winning this award. And for CloudHesive, this is your second year in a row of winning a Public Sector Award. So with that, I'm going to sign off today and I'm going to thank you both for attending. Today, we've had Fernando Castillo, the Business Development Manager from CloudHesive and then Luis Muñoz, the Information Director at the Uniberisdad de Los Lagos, and thank you both for attending. This is Donald Klein for theCUBE, until next time. (bright music)

>> Narrator: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Partner Awards brought to you by Amazon web services. >> Hi, and welcome back, I'm Stu Miniman and we're here at the AWS Public Sector. Their Partner Awards, really enjoying this. We get to talk to some of the diverse ecosystem as well as they've all brought on their customers, some really phenomenal case studies. Happy to welcome to the program two first time guests. First of all, we have Jared Bell, he's the Chief Engineer of self response, operational readiness at T-Rex Solutions and T-Rex is the award winner for the most customer obsessed mission-based in Fed Civ. So Jared, congratulations to you and the T-Rex team and also joining him, his customer Michael Thieme, he's the Assistant Director for the Decennial Census Program systems and contracts for the US Census Bureau, thank you so much both for joining us. >> Good to be here. >> All right, Jared, if we could start with you, as I said, you're an award winner, you sit in the Fed Civ space, you've brought us to the Census Bureau, which most people understand the importance of that government program coming up on that, you know, every 10 year we've been hearing, you know, TV and radio ads talking about it, but Jared, if you could just give us a thumbnail of T-Rex and what you do in the AWS ecosystem. >> So yeah again, my name's Jared Bell and I work for T-Rex Solutions. T-Rex is a mid tier IT federal contracting company in Southern Maryland, recently graduated from hubs on status, and so T-Rex really focuses on four key areas, infrastructure in Cloud modernization, cybersecurity, and active cyber defense, big data management and analytics, and then overall enterprise system integration. And so we've been, you know, AWS partner for quite some time now and with decennial, you know, we got to really exercise a lot of the bells and whistles that are out there and really put it all to the test. >> All right, well, Michael, you know, so many people in IT, we talk about the peaks and valleys that we have, not too many companies in our organization say, well, we know exactly, you know, that 10 year spike of activity that we're going to have, I know there's lots of work that goes on beyond that, but it tells a little bit , your role inside the Census Bureau and what's under your purview. >> Yes, the Census Bureau, is actually does hundreds of surveys every year, but the decennial census is our sort of our main flagship activity. And I am the Assistant Director under our Associate Director for the IT and for the contracts for the decennial census. >> Wonderful and if you could tell us a little bit the project that you're working on, that eventually pulled T-Rex in. >> Sure. This is the 2020 census and the challenge of the 2020 census is we've done the census since 1790 in the United States. It's a pillar, a foundation of our democracy, and this was the most technologically advanced census we've ever done. Actually up until 2020, we have done our censuses mostly by pen, paper, and pencil. And this is a census where we opened up the internet for people to respond from home. We can have people respond on the phone, people can respond with an iPhone or an Android device. We tried to make it as easy as possible and as secure as possible for people to respond to the census where they were and we wanted to meet the respondent where they were. >> All right. So Jared, I'd love you to chime in here 'cause I'm here and talking about, you know, the technology adoption, you know, how much was already in plans there, where did T-Rex intersect with this census activity? >> Yeah. So, you know, census deserves a lot of credit for their kind of innovative approach with this technical integrator contract, which T-Rex was fortunate enough to win. When we came in, you know, we were just wrapping up the 2018 test. we really only had 18 months to go from start to, you know, a live operational tests to prepare for 2020. And it was really exciting to be brought in on such a large mission critical project and this is one of the largest federal IT products in the Cloud to date. And so, you know, when we came in, we had to really, you know, bring together a whole lot of solutions. I mean, the internet self response, which is what we're going to to talk about today was one of the major components. But we really had a lot of other activities that we had to engage in. You know, we had to design and prepare an IT solution to support 260 field offices, 16,000 field staff, 400,000 mobile devices and users that were going to go out and knock on doors for a numeration. So it was real6ly a big effort that we were honored to be a part of, you know, and on top of that, T-Rex actually brought to the table, a lot of its past experience with cybersecurity and active cyber defense, also, you know, because of the importance of all this data, you know, we had the role in security all throughout, and I think T-Rex was prepared for that and did a great job. And then, you know, overall I think that, not necessarily directly to your question, but I think, y6ou know, one of the things that we were able to do to make ourselves successful and to really engage with the census Bureau and be effective with our stakeholders was that we really build a culture of decennial within the technical integrator, you know, we had brown bags and working sessions to really teach the team the importance of the decennial, you know, not just as a career move, but also as a important activity for our country. And so I think that that really helped the team, you know, internalize that mission and really drove kind of our dedication to the census mission and really made us effective and again, a lot of the T-Rex leadership had a lot of experience there from past decennials and so they really brought that mindset to the team and I think it really paid off. >> Michael, if you could bring us inside a little a bit the project, you know, 18 months, obviously you have a specific deadline you need to hit, for that help us understand kind of the architectural considerations that you had there, any concerns that you had and I have to imagine that just the global activities, the impacts of COVID-19 has impacted some of the end stage, if you will, activities here in 2020. >> Absolutely. Yeah. The decennial census is, I believe a very unique IT problem. We have essentially 10 months out of the decade that we have to scale up to gigantic and then scale back down to run the rest of the Census Bureau's activities. But our project, you know, every year ending in zero, April 1st is census day. Now April 1st continued to be census day in 2020, but we also had COVID essentially taking over virtually everything in this country and in fact in the world. So, the way that we set up to do the census with the Cloud and with the IT approach and modernization that we took, actually, frankly, very luckily enabled us to kind of get through this whole thing. Now, we haven't had, Jared discussed a little bit the fact that we're here to talk about our internet self response, we haven't had one second of downtime for our response. We've taken 77 million. I think even more than 78 million responses from households, out of the 140 million households in the United States, we've gotten 77 million people to respond on our internet site without one second of downtime, a good user experience, a good supportability, but the project has always been the same. It's just this time, we're actually doing it with much more technology and hopefully the way that the Cloud has supported us will prove to be really effective for the COVID-19 situation. Because we've had changes in our plans, difference in timeframes, we are actually not even going into the field, or we're just starting to go into the field these next few weeks where we would have almost been coming out of the field at this time. So that flexibility, that expandability, that elasticity, that being in the Cloud gives all of our IT capabilities was really valuable this time. >> Well, Jared, I'm wondering if you can comment on that. All of the things that Michael just said, you know, seem like, you know, they are just the spotlight pieces that I looked at Cloud for. You know, being able to scale on demand, being able to use what I need when I need it, and then dial things down when I don't, and especially, you know, I don't want to have to, you know, I want to limit how much people actually need to get involved. So help understand a little bit, you know, what AWS services underneath, we're supporting this and anything else around the Cloud deployment. >> Sure, yeah. Michael is spot on. I mean, the cloud is tailor made for our operation and activity here. You know, I think all told, we use over 30 of the AWS FedRAMP solutions in standing up our environment across all those 52 system of systems that we were working with. You know, just to name a few, I mean, internet self response alone, you're relying heavily on auto scaling groups, elastic load balancers, you know, we relied a lot on Lambda Functions, DynamoDB. We're one of the first adopters through DynamoDB global tables, which we use for a session persistence across regions. And then on top of that, you know, the data was all flowing down into RDS databases and then from there to, you know, the census data Lake, which was built on EMR and Elasticsearch capabilities, and that's just to name a couple. I mean, you know, we had, we ran the gamut of AWS services to make all this work and they really helped us accelerate. And as Michael said, you know, we stood this up expecting to be working together in a war room, watching everything hand in hand, and because of the way we, were able to architect it in partnership with AWS, we all had to go out and stay at home, you know, the infrastructure remain rock solid. We can have to worry about, you know, being hands on with the equipment and, you know, again, the ability to automate and integrate with those solutions Cloud formation and things like that really let us keep a small agile team of, you know, DevSecOps there to handle the deployments. And we were doing full scale deployments with, you know, one or two people in the middle of the night without any problems. So it really streamlined things for us and helped us keep a tight natural, sure. >> Michael, I'm curious about what kind of training your team need to go through to take advantage of this solution. So from bringing it up to the ripple effect, as you said, you're only now starting to look at who would go into the field who uses devices and the like, so help us understand really the human aspect of undergoing this technology. >> Sure. Now, the census always has to ramp up this sort of immediate workforce. We hire, we actually process over 3 million people through, I think, 3.9 million people applied to work for the Census Bureau. And each decade we have to come up with a training program and actually training sites all over the country and the IT to support those. Now, again, modernization for the 2020 census, didn't only involve the things like our internet self response, it also involves our training. We have all online training now, we used to have what we called verbatim training, where we had individual teachers all over the country in places like libraries, essentially reading text exactly the same way to exactly over and over again to our, to the people that we trained. But now it's all electronic, it allows us to, and this goes to the COVID situation as well, it allows us to bring only three people in at a time to do training. Essentially get them started with our device that we have them use when they're knocking on doors and then go home and do the training, and then come back to work with us all with a minimal contact, human contact, sort of a model. And that, even though we designed it differently, the way that we set the technology of this time allowed us to change that design very quickly, get people trained, not essentially stop the census. We essentially had to slow it down because we weren't sure exactly when it was going to be safe to go knocking on door to door, but we were able to do the training and all of that worked and continues to work phenomenally. >> Wonderful. Jared, I wonder if you've got any lessons learned from working with the census group that might be applicable to kind of, the broader customers out there? >> Oh, sure. Well, working with the census, you know, it was really a great group to work with. I mean, one of the few groups I worked with who have such a clear vision and understanding of what they want their final outcome to be, I think again, you know, for us the internalization of the decennial mission, right? It's so big, it's so important. I think that because we adopted it early on we felt that we were true partners with census, we had a lot of credibility with our counterparts and I think that they understood that we were in it with them together and that was really important. I would also say that, you know, because we're talking about the go Cloud solutions that we worked, you know, we also engage heavily with the AWS engineering group and in partnership with them, you know, we relied on the infrastructure event management services they offer and was able to give us a lot of great insight into our architecture and our systems and monitoring to really make us feel like we were ready for the big show when the time came. So, you know, I think for me, another lesson learned there was that, you know, the Cloud providers like AWS, they're not just a vendor, they're a partner and I think that now going forward, we'll continue to engage with those partners early and often. >> Michael the question I have for you is, you know, what would you say to your peers? What lessons did you have learned and how much of what you've done for the census, do you think it will be applicable to all those other surveys that you do in between the big 10 year surveys? >> All right. I think we have actually set a good milestone for the rest of the Census Bureau, that the modernization that the 2020 census has allowed since it is our flagship really is something that we hope we can continue through the decade and into the next census, as a matter of fact. But I think one of the big lessons learned I wanted to talk about was we have always struggled with disaster recovery. And one of the things that having the Cloud and our partners in the Cloud has helped us do is essentially take advantage of the resilience of the Cloud. So there are data centers all over the country. If ever had a downtime somewhere, we knew that we were going to be able to stay up. For the decennial census, we've never had the budget to pay for a persistent disaster recovery. And the Cloud essentially gives us that kind of capability. Jared talked a lot about security. I think we have taken our security posture to a whole different level, something that allowed us to essentially, as I said before, keep our internet self response free of hacks and breaches through this whole process and through a much longer process than we even intended to keep it open. So, there's a lot here that I think we want to bring into the next decade, a lot that we want to continue, and we want the census to essentially stay as modern as it has become for 2020. >> Well, I will tell you personally Michael, I did take the census online, it was really easy to do, and I'll definitely recommend if they haven't already, everybody listening out there so important that you participate in the census so that they have complete data. So, Michael, Jared, thank you so much. Jared, congratulations to your team for winning the award and you know, such a great customer. Michael, thank you so much for what you and your team are doing. We Appreciate all that's being done, especially in these challenging times. >> Thank you and thanks for doing the census. >> All right and stay tuned for more coverage of the AWS public sector partner award I'm Stu Miniman and thank you for watching theCUBE. (upbeat music)

>> Announcer: From around the globe, it's "theCUBE" with digital coverage of AWS Public Sector Partner Awards, brought to you by Amazon Web Services. >> Welcome to the AWS Public Sector Awards Program. This year, AWS partnered with "theCUBE" to interview a selection of the award winners and their clients. My name is Jeff Frick. I'm the GM and host of "theCUBE" and to share more on the award program and this year's winners, I'd like to introduce Sandy Carter, joining us from Seattle. She is the VP Worldwide Public Sector Partners and Programs for AWS. Sandy, great to see you. >> So great to see you too, Jeff. Everything's going well. >> Yeah, exactly. How are you doing? So you're in Seattle, you're sheltering in place, but you're getting through and business moves on and you guys are doing a lot of exciting things based on some of the challenges that have come from COVID. >> Absolutely. And we're even making our logo signs out of Legos to support our home offices. So we're having a blast and we're really helping a lot of our customers and our partners through this time as they are helping us as well. >> Right. So let's jump into it. So you run Partners and Programs. Share with everyone why partners are so important to Amazon and AWS specifically and public sector specifically? >> Yeah, Jeff, the partner business, of course, is critical to public sector. For us, partners represent that overall customer experience. They're often subject matter experts at raising awareness, helping customers evaluate AWS and some of the workloads. They help accelerate procurement, deploy services, and most important, our partners support our customer missions. And mission is almost everything in public sector. Now for us, public sector is not just government, but it's also education, nonprofits, healthcare, depending upon where you are in the world, it could also be travel and transportation or oil and gas. It's a really big mission that our partners go on every day with us in the field and the real world. >> Right, so one of the things that comes up all the time, if anyone's spent any time listening to Amazon content, whether it's Bezos or Andy, talks about customer obsession and this constant drive around customer obsession. Now, I noticed you've got 18 awards and people can see all the awards later today or they can go to the website, but I noticed like a third of your awards are customer obsession. So you've really kind of taken that customer obsession theme, if you will, and pushed it in and through all these awards and award categories. So talk about customer obsession in the context of these awards. >> Well, customer obsession for us is everything. Everything that we do starts with the customer and then works backwards. So if you think about what's been happening during these COVID times, like call center wait times are astronomical, too long. Customers are waiting too long. We've been helping States and local governments and countries really implement artificial intelligence and have that ability to answer calls quickly. That's one example of working backwards from a customer. Another example might be having limited access to data. So Jeff, we've always said, and I know "theCUBE's" always said that data is queen or king, but during COVID, data became so essential. So working backwards from our customers, leaders needed to make emergency decisions and did not have immediate access to data. So we had a lot of partners who said, "Hey, I can help you with that. "I can build a data lake. "I can use analytics to help you get to that data." So those were just some examples of how our partners did some extraordinary things, working backwards from their customer. >> Right, well, the other thing obviously is COVID, we've been at this now since mid-March and there was a lot of challenges that came out of COVID. But the other thing that came out of it is this light switch moment for digital transformation and initiatives that were potentially running or thought about running or moving slow. Suddenly digital transformation came to the top of everybody's priorities because of COVID and they had no other choice. And I noticed you've got a couple of COVID-19 specific winners in your list. I wonder if you can speak to some of the challenges that arose that they responded to, to earn some of these COVID awards. >> Yeah, it was funny, Jeff, I'm sure you saw it too on social media. There was a slide that said, "Who drove your digital transformation? "Was it your CEO, your CIO, your chief marketing officer, "or was it COVID?" And, of course, everybody picked COVID. So some of the areas that our partners focused in on was the failure of some legacy systems that occurred, decade old mission critical systems and websites, failed under the stress because they couldn't go up for the demand like the cloud can. We also saw limited remote access. You and I were chatting before, how do you do remote work? How does that work? So employees had limited access to systems, to tools, to data that they needed. And so our customers were really, again, really in want of a solution for remote work. And we had a lot of partners who really stepped up. And then of course, looking at the tech skills that existed, I'm sure you had people call you. I had people call me saying, "I don't really know how to get on Zoom or WebEx or Chime. "Can you help me?" And our customers experience the same thing. Employees don't have the same level of technical skills. And so we saw partners step up with training systems, for example. I was really impressed with the scrappiness of our partners and the way that they always started with the customer, working backwards. But they pivoted because COVID really did create some of these new opportunities in the marketplace. >> Right. So we've got a full program running at the conclusion of this conversation which people will get to see the winners and see some of the solution providers. And we've got three tracks, like you said, the government, nonprofit and education, and there's 18 award winners. And I wouldn't ask you to pick your favorite kid, but I'm going to ask you to share a couple of favorites amongst these award winners that really jumped out to you. >> Okay, I will but first I'll just say, Jeff, that we did have 18 winners and amongst them, they had over 45 customer references. They averaged over six years of experience with AWS and they spread across every single geo. So I thought that was pretty amazing. They also spanned across a couple of different areas, a set of technical capabilities like AI-ML, migration, you know, having a skill for Amazon Connect, which is our call center. They spread a cost missions that you talked about for education, healthcare, DOD. And then they also had a lot of special focus on migration. This was one of Andy's really big, big themes at re:Invent. And so we wanted to reinforce that as well with our partners. So a couple of highlights. So I'm going to start with migration because that was a really big one for Andy at re:Invent, as well as Teresa, our head of public sector. So one of our award winners is around migration is the Navy and SAP NS2. They were asked to migrate 26 ERPs across 50 landscapes with 60,000 users accessing the data from around the globe or another one of my favorites was the Accenture Award where they help the government of Canada and they help them through some of the employment and social development areas that they need to focus in on, really launching a 2,600 person contact center to help deal with some of the spikes in call volumes and other areas. And then let me see. I would also call out Maxar. Maxar set up a high performance computing or HPC environment for a number of weather prediction areas for NOAA, which was also very essential because it wasn't just COVID. Right now, we're in the midst of hurricane season. And how can you optimize that performance and cost even more? Or my last one I'll do, I promise, Jeff, is mission-based, which is Tyler Technologies and they help the city of Alvin in Texas and their municipal courts. Like how do you continue to do court systems? How do you implement a virtual court? And that's exactly what Tyler technology helped to have happen in Texas. So those are just some of the favorite ones that I have today, Jeff. >> (laughs) That's great. And again, everybody can watch interviews with the selection of these people. They'll be running, starting at the bottom of the hour and really get to meet the solution providers as well as the customers that put some of these things in. I've been fortunate to cover a couple of the AWS IMAGINE shows, which are really small public sector shows around nonprofits and education. And it's pretty amazing, once you get out of the commercial space, some of the things that are being enabled by cloud generally and AWS specifically around things that people aren't thinking, missing children, community colleges and education for quick employment. And there's just so many really meaningful, you said mission type of activities going on out there that you guys support. So that's really exciting to keep up with. So before we close out and let everybody watch the award winners, your priorities for 2020? We're kind of halfway through, it's a very strange year. I'm sure every plan that was written and approved in January got ripped up to shreds (Sandy laughs) by April. So Sandy, what are some of your priorities for what you're working on with partners and programs and public sector for the balance of the year? >> Yeah, I would start out by reemphasizing migration. I think migration is really crucial, taking something that's on premises and moving it to the cloud. And the reason that's so important, moving forward, is that the discussion we just had, Jeff, around digital transformation, the cloud provides you so much on-demand capacity. You can just scale and do so many more things. We're also seeing a big focus on cyber security. A lot of our customers across the globe now need to secure remote education, their call centers, their portals, their elections. So cyber security will continue to be really important. As well as our Amazon Connect area. So Amazon Connect, this amazing call center that we've integrated with salesforce, one of our other award winners continues to grow rapidly as we see more and more demand for that as well. And Jeff, I would be remiss to also not call out the mission areas. So whether that's helping with public safety or whether that is assisting in healthcare or our new telemedicine, just providing that, not just the technology, but the mission help too, really understanding what's required and delivering that will be really important. And Jeff, we can't end the key without talking about #techforgood either, right? >> Right, right. Something that's close to both our hearts. >> (chuckles) So we did have some really cool award winners that I think one, because of that #techforgood. So Axial3D, for instance, really helped out Belfast Hospital. And they won an award for AI-ML because of the way that they help surgeons save lives. And this is, your intro here was really important to me. It's not just about your super power for profit. That's important because you have to stay in business, but that super power for purpose is equally as important. We didn't do an award this time for startups, but we have also been working with Hello Alice who set up an entire, saying a website is too small, but they've used AI and ML through SageMaker to tag stories and help for small businesses and other startups that are diverse either through gender or race or be in veteran-owned. They're doing an amazing thing. So we continue, at Amazon to focus on #techforgood, as I know, you guys do at "theCUBE" as well. >> Right, right. Well, we used to call it a word and the triple line accounting. So it's not only just for profitability, but also for your employees and your constituents, which include your customers and your partners, but also the broader community and doing well for the broader community. And I do think, the younger people today that are entering the workforce have really forced that conversation and raised the status of mission-based activities. And really trying to think beyond just the bottom line, you still need to make money cause you got to pay the bills and keep the lights on, but that shouldn't be the only thing. And it shouldn't be really at the expense of everything else. So that's great to hear. And again, I think that the tech for good angle is a really, really important one. It probably doesn't get enough pub compared to some of the other stuff that we see in the news. So Sandy, congratulations to you and the team for weeding through all the applicants, selecting these 18 lucky winners. And thank you for giving us the opportunity to interview a few of them and share their stories on "theCUBE" and on this program. And, that's what we love, love to do since we can't be together in person as we have been so many times in the past. >> Yeah, so Jeff, if we could just show that slide real quick as we end. As we end, I want to say thank you from the bottom of my heart to all of these partners who were here. All 18, you're going to get to hear most of them. I don't want to take away from their thunder, but I know that "theCUBE" has been doing interviews with them and their customers, see and hear the amazing stories that they have and how they really have helped customers beyond what we can normally even expect because they are award winners. So Jeff, thank you and "theCUBE" for helping us to find a way to get their stories out. Because it's not normal times, we didn't have our public conference, but this is a great way to celebrate each and every one of these 18. So I want to say, thank you, congratulations. And from the bottom of my heart, I appreciate all the great work that you're doing. And to the rest of our partners, I hope that I see you on this list in our next award ceremony. >> Alright, well, thank you Sandy, for those kind words. And without further ado, we will end this segment, this kickoff and people can jump into the award-winner segments and learn lots. And hopefully, it won't be too long, Sandy, till we can actually meet again in-person. So thank you for watching this portion and enjoy the rest of the show. (calm music)

>> Announcer: From around the globe, it's "theCUBE" with digital coverage of AWS Public Sector Partner Awards, brought to you by Amazon Web Services. >> Welcome to the AWS Public Sector Awards Program. This year, AWS partnered with "theCUBE" to interview a selection of the award winners and their clients. My name is Jeff Frick. I'm the GM and host of "theCUBE" and to share more on the award program and this year's winners, I'd like to introduce Sandy Carter, joining us from Seattle. She is the VP Worldwide Public Sector Partners and Programs for AWS. Sandy, great to see you. >> So great to see you too, Jeff. Everything's going well. >> Yeah, exactly. How are you doing? So you're in Seattle, you're sheltering in place, but you're getting through and business moves on and you guys are doing a lot of exciting things based on some of the challenges that have come from COVID. >> Absolutely. And we're even making our logo signs out of Legos to support our home offices. So we're having a blast and we're really helping a lot of our customers and our partners through this time as they are helping us as well. >> Right. So let's jump into it. So you run Partners and Programs. Share with everyone why partners are so important to Amazon and AWS specifically and public sector specifically? >> Yeah, Jeff, the partner business, of course, is critical to public sector. For us, partners represent that overall customer experience. They're often subject matter experts at raising awareness, helping customers evaluate AWS and some of the workloads. They help accelerate procurement, deploy services, and most important, our partners support our customer missions. And mission is almost everything in public sector. Now for us, public sector is not just government, but it's also education, nonprofits, healthcare, depending upon where you are in the world, it could also be travel and transportation or oil and gas. It's a really big mission that our partners go on every day with us in the field and the real world. >> Right, so one of the things that comes up all the time, if anyone's spent any time listening to Amazon content, whether it's Bezos or Andy, talks about customer obsession and this constant drive around customer obsession. Now, I noticed you've got 18 awards and people can see all the awards later today or they can go to the website, but I noticed like a third of your awards are customer obsession. So you've really kind of taken that customer obsession theme, if you will, and pushed it in and through all these awards and award categories. So talk about customer obsession in the context of these awards. >> Well, customer obsession for us is everything. Everything that we do starts with the customer and then works backwards. So if you think about what's been happening during these COVID times, like call center wait times are astronomical, too long. Customers are waiting too long. We've been helping States and local governments and countries really implement artificial intelligence and have that ability to answer calls quickly. That's one example of working backwards from a customer. Another example might be having limited access to data. So Jeff, we've always said, and I know "theCUBE's" always said that data is queen or king, but during COVID, data became so essential. So working backwards from our customers, leaders needed to make emergency decisions and did not have immediate access to data. So we had a lot of partners who said, "Hey, I can help you with that. "I can build a data lake. "I can use analytics to help you get to that data." So those were just some examples of how our partners did some extraordinary things, working backwards from their customer. >> Right, well, the other thing obviously is COVID, we've been at this now since mid-March and there was a lot of challenges that came out of COVID. But the other thing that came out of it is this light switch moment for digital transformation and initiatives that were potentially running or thought about running or moving slow. Suddenly digital transformation came to the top of everybody's priorities because of COVID and they had no other choice. And I noticed you've got a couple of COVID-19 specific winners in your list. I wonder if you can speak to some of the challenges that arose that they responded to, to earn some of these COVID awards. >> Yeah, it was funny, Jeff, I'm sure you saw it too on social media. There was a slide that said, "Who drove your digital transformation? "Was it your CEO, your CIO, your chief marketing officer, "or was it COVID?" And, of course, everybody picked COVID. So some of the areas that our partners focused in on was the failure of some legacy systems that occurred, decade old mission critical systems and websites, failed under the stress because they couldn't go up for the demand like the cloud can. We also saw limited remote access. You and I were chatting before, how do you do remote work? How does that work? So employees had limited access to systems, to tools, to data that they needed. And so our customers were really, again, really in want of a solution for remote work. And we had a lot of partners who really stepped up. And then of course, looking at the tech skills that existed, I'm sure you had people call you. I had people call me saying, "I don't really know how to get on Zoom or WebEx or Chime. "Can you help me?" And our customers experience the same thing. Employees don't have the same level of technical skills. And so we saw partners step up with training systems, for example. I was really impressed with the scrappiness of our partners and the way that they always started with the customer, working backwards. But they pivoted because COVID really did create some of these new opportunities in the marketplace. >> Right. So we've got a full program running at the conclusion of this conversation which people will get to see the winners and see some of the solution providers. And we've got three tracks, like you said, the government, nonprofit and education, and there's 18 award winners. And I wouldn't ask you to pick your favorite kid, but I'm going to ask you to share a couple of favorites amongst these award winners that really jumped out to you. >> Okay, I will but first I'll just say, Jeff, that we did have 18 winners and amongst them, they had over 45 customer references. They averaged over six years of experience with AWS and they spread across every single geo. So I thought that was pretty amazing. They also spanned across a couple of different areas, a set of technical capabilities like AI-ML, migration, you know, having a skill for Amazon Connect, which is our call center. They spread a cost missions that you talked about for education, healthcare, DOD. And then they also had a lot of special focus on migration. This was one of Andy's really big, big themes at re:Invent. And so we wanted to reinforce that as well with our partners. So a couple of highlights. So I'm going to start with migration because that was a really big one for Andy at re:Invent, as well as Teresa, our head of public sector. So one of our award winners is around migration is the Navy and SAP NS2. They were asked to migrate 26 ERPs across 50 landscapes with 60,000 users accessing the data from around the globe or another one of my favorites was the Accenture Award where they help the government of Canada and they help them through some of the employment and social development areas that they need to focus in on, really launching a 2,600 person contact center to help deal with some of the spikes in call volumes and other areas. And then let me see. I would also call out Maxar. Maxar set up a high performance computing or HPC environment for a number of weather prediction areas for NOAA, which was also very essential because it wasn't just COVID. Right now, we're in the midst of hurricane season. And how can you optimize that performance and cost even more? Or my last one I'll do, I promise, Jeff, is mission-based, which is Tyler Technologies and they help the city of Alvin in Texas and their municipal courts. Like how do you continue to do court systems? How do you implement a virtual court? And that's exactly what Tyler technology helped to have happen in Texas. So those are just some of the favorite ones that I have today, Jeff. >> (laughs) That's great. And again, everybody can watch interviews with the selection of these people. They'll be running, starting at the bottom of the hour and really get to meet the solution providers as well as the customers that put some of these things in. I've been fortunate to cover a couple of the AWS IMAGINE shows, which are really small public sector shows around nonprofits and education. And it's pretty amazing, once you get out of the commercial space, some of the things that are being enabled by cloud generally and AWS specifically around things that people aren't thinking, missing children, community colleges and education for quick employment. And there's just so many really meaningful, you said mission type of activities going on out there that you guys support. So that's really exciting to keep up with. So before we close out and let everybody watch the award winners, your priorities for 2020? We're kind of halfway through, it's a very strange year. I'm sure every plan that was written and approved in January got ripped up to shreds (Sandy laughs) by April. So Sandy, what are some of your priorities for what you're working on with partners and programs and public sector for the balance of the year? >> Yeah, I would start out by reemphasizing migration. I think migration is really crucial, taking something that's on premises and moving it to the cloud. And the reason that's so important, moving forward, is that the discussion we just had, Jeff, around digital transformation, the cloud provides you so much on-demand capacity. You can just scale and do so many more things. We're also seeing a big focus on cyber security. A lot of our customers across the globe now need to secure remote education, their call centers, their portals, their elections. So cyber security will continue to be really important. As well as our Amazon Connect area. So Amazon Connect, this amazing call center that we've integrated with salesforce, one of our other award winners continues to grow rapidly as we see more and more demand for that as well. And Jeff, I would be remiss to also not call out the mission areas. So whether that's helping with public safety or whether that is assisting in healthcare or our new telemedicine, just providing that, not just the technology, but the mission help too, really understanding what's required and delivering that will be really important. And Jeff, we can't end the key without talking about #techforgood either, right? >> Right, right. Something that's close to both our hearts. >> (chuckles) So we did have some really cool award winners that I think one, because of that #techforgood. So Axial3D, for instance, really helped out Belfast Hospital. And they won an award for AI-ML because of the way that they help surgeons save lives. And this is, your intro here was really important to me. It's not just about your super power for profit. That's important because you have to stay in business, but that super power for purpose is equally as important. We didn't do an award this time for startups, but we have also been working with Hello Alice who set up an entire, saying a website is too small, but they've used AI and ML through SageMaker to tag stories and help for small businesses and other startups that are diverse either through gender or race or be in veteran-owned. They're doing an amazing thing. So we continue, at Amazon to focus on #techforgood, as I know, you guys do at "theCUBE" as well. >> Right, right. Well, we used to call it a word and the triple line accounting. So it's not only just for profitability, but also for your employees and your constituents, which include your customers and your partners, but also the broader community and doing well for the broader community. And I do think, the younger people today that are entering the workforce have really forced that conversation and raised the status of mission-based activities. And really trying to think beyond just the bottom line, you still need to make money cause you got to pay the bills and keep the lights on, but that shouldn't be the only thing. And it shouldn't be really at the expense of everything else. So that's great to hear. And again, I think that the tech for good angle is a really, really important one. It probably doesn't get enough pub compared to some of the other stuff that we see in the news. So Sandy, congratulations to you and the team for weeding through all the applicants, selecting these 18 lucky winners. And thank you for giving us the opportunity to interview a few of them and share their stories on "theCUBE" and on this program. And, that's what we love, love to do since we can't be together in person as we have been so many times in the past. >> Yeah, so Jeff, if we could just show that slide real quick as we end. As we end, I want to say thank you from the bottom of my heart to all of these partners who were here. All 18, you're going to get to hear most of them. I don't want to take away from their thunder, but I know that "theCUBE" has been doing interviews with them and their customers, see and hear the amazing stories that they have and how they really have helped customers beyond what we can normally even expect because they are award winners. So Jeff, thank you and "theCUBE" for helping us to find a way to get their stories out. Because it's not normal times, we didn't have our public conference, but this is a great way to celebrate each and every one of these 18. So I want to say, thank you, congratulations. And from the bottom of my heart, I appreciate all the great work that you're doing. And to the rest of our partners, I hope that I see you on this list in our next award ceremony. >> Alright, well, thank you Sandy, for those kind words. And without further ado, we will end this segment, this kickoff and people can jump into the award-winner segments and learn lots. And hopefully, it won't be too long, Sandy, till we can actually meet again in-person. So thank you for watching this portion and enjoy the rest of the show. (calm music)

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. >>Welcome back to the Cube's coverage of AWS Public Sector Partner Awards program. I'm John Furrow, your host of the Cube here in Palo Alto, California In the remote interviews during this pandemic, we have our remote crews and getting all the stories and celebrating the award winners. And here to feature the most innovative connect deployment. We have a center of Canada and the Department of Employment and Social Development of Canada, known as E S D. C guys. Congratulations, Joel. More Children Censure Canada Managing director and Ben while long sdc of Canada Chief Transformation officer. Gentlemen, thanks for coming on. And congratulations on the award. >>Thank you. >>Thank you. >>So, Ashley, during this pandemic, a lot of disruption and a lot of business still needs to go on, including government services. But the citizens and people need to still do their thing. Business got to run, and you got to get things going. But the disruptions caused a little bit of how the user experiences are. So this connect has been interesting. It's been a featured part of where you've been hearing at the Public Sector summit with Theresa Carlson. You guys, this is a key product. Tell us about the award. What is the solution? That disturbing of deserving reward? >>Maybe I'll get I'll go first and then pass it over to Benoit. But I think the solution is Amazon Connect based Virtual Contact Center that we stood up fairly quickly over the course of about four days and really in support of of benefit that the government of Canada was was releasing as part of its economic response to the pandemic. And in the end that, you know, it's a fully functioning featured contact center solution includes an I V r. And, uh, you know, we stood it up for about 1500 to 2000 agents so that that's the crux of the solution. And maybe Benoit can give a bit of insight as to to how it came about so quickly. >>Yeah, happy to actually wear obviously, like every other government, facing enormous pressures at that time to deliver benefits directly to people who were in true need, the jobs are being lost. Our current systems were in trouble because of their age and barricade cake nature. And so the challenge is was quickly how to actually support a lot of people really fast. And so it came through immediately that after our initial payments were made under what was called Canada Emergency Response Benefit, then we have to support our clients directly. And so people turn to the transformation team of all teams. If you wish during a fire firestorm to say, Well, what could you do and how could you help? And so we had an established relationship with a number of other system integrators, including Accenture, and we were able to run a competition very rapidly. Accenture one. And then we deployed. And as you all said, in a matter of four days, what for us was a new, exceptional on high quality solution to a significant client problem. And I say that because I think you can imagine how people feel in the endemic of all of all things. But with the uncertainty that comes with the loss of income, loss of jobs, the question of being able to deal with somebody really a human being, as well as to be able to be efficiently answer a very simple but straightforward questions rapidly and with high quality, with pretty fundamental for us. So the people in the groups that were talking through here are talking, speaking to millions of people who were literally being asked to to accept the pavement rapidly and to be able to connect with us quickly. And without this solution, which was exceptionally well done and deployed and of high quality personally, just a technology, uh, solution. I would not have been possible to even answer any of these queries quickly. >>And while that's a great 0.1 of the things that you see with the pandemic it's a disaster in the quote disaster kind of readiness thing. Unforeseen, right? So, like other things, you can kind of plan for things that hypothetical. You've got scenarios, but this >>is >>truly a case where every day counts. Every minute counts because humans are involved is no our ROI calculation. It's not like it's not like, Well, what's the payback of our system? The old kind of way to think this is really results fast. This is what cloud is all about. This is the promise of cloud. Can I stand up something quick and you did it with a partner. Okay, this is, like, not, like, normal again. It's like it's, you know, it's like, unheard of, right? Four days with critical infrastructure, critical services that were unforeseen. Take us through what was going on in the war room, as you guys knew this was here. Take us through the through what happened. Yeah, >>So I think I can start a Z. You can imagine the set of executives that we're seeing a payment process. Uh, was an exceptional. It was like a bunker. Frankly, for about two weeks, we had to suspend the normal operations off the vast majority of our programming. We had to launch brand new payments and benefits systems and programs that nobody had seen before. The level of simplicity was maximized to delivered the funds quickly. So you could imagine it's a warpath if you wish, because the campaign is really around. A timing. Timing is fundamental. People are are literally losing their jobs. There is no support. There's no funding money for them to be able to buy groceries. So on the trust that people have in the government, Ai's pretty much at risk right there and then in a very straightforward but extraordinarily powerful magic moment. If you wish. If you can deliver a solution, then you make a difference for a long time. And so the speed unheard off on old friends when he came to the call center capability and the ability for us to support and service context the clients that were desperate to reach us on. We're talking hundreds of thousands of calls, right? We're not talking a few 1000 year. Ultimately, at some point we were literally getting in our over over, taken by volumes, call centers. But we had a regular one still operating over a 1,000,000 calls for coming in today with the capacity to answer, um, you know, tens of thousands. And so the reality is that the counselor that we put up here very quickly became capable of answering more calls than our regular costumes. And that speaks to the speed of delivery, the quality of the solution, of course, but the scalability of it and I have to say, maybe unheard of, it may be difficult to replicate. The conditions to lead to this are rare, but I have to say that my bosses and most of the government is probably now wondering why we can't do this more often, like we can't operate with that kind of speed and agility. So I think what you've got is a client in our case, under extreme circumstances. Now, realizing the new normal will never be the same, that these types of solutions and technology. And then there's scalability. There's agility there, the speed of deployment. It's frankly, something we want. We want all the time. Now we'd like to be able to do it under your whole timeline conditions. But even those will be a fraction of what it used to take. It would have taken us well, actually, I can actually tell you because I was the lead, Ah, technologists to deploy at scale for the government. Canada all the call center capabilities under a single software as a service platform. It took us two years to design it two years to procure it and five years to install it. That's the last experience. We have a call center enterprise scale capabilities, and in this case, we went from years to literally days. >>Well, you know, it takes a crisis sometimes to kind of wire up the simplicity solution that you say. Why didn't we do this before? You know, the waterfall meetings, Getting everyone arguing gets kind of gets in the way of the old the old software model. I want to come back to the transformation been wanna minute, cause I think that's gonna be a great success story and some learnings, and I want to get your thoughts on that. But I want to go to Joel because Joel, we've talked to many Accenture executives over the years and most recently this past 24 months. And the message we've been hearing is we're going to be faster. We're not going to be seen as that. You know, a consulting firm taking our times. Try and get a pound of flesh from the client. This is an example. In my opinion of a partner working with a problem statement that kind of matches the cloud speed. So you guys have been doing this. This is not new to a censure. So take us through how you guys reacted because one you got to sync up and get the cadence of what, Ben? What I was trying to do sync up and execute. Take us through what happened on your side. >>Yeah, I mean, so it's It's Ah, it's an unprecedented way of operating for us as well, frankly, and, um and, uh and, you know, we've had to look at to get this specific solution at the door and respond to an RFP and the commercial requirements that go with that way. Had Teoh get pretty agile ourselves internally on on how we go through approvals, etcetera, to make sure that that we were there to support Ben Wan is team. And I think you know that we saw this is a broader opportunity to really respond to it, to help Canada in a time of need. So So I think we, you know, we had to streamline a lot of our internal processes that make quick decisions that normally even for our organization, would have taken, um, could it could have taken weeks, right? And we were down to hours in a lot of instances. So it helps. It forces us to react and act differently as well. But I mean, to Benoit's point, I think this is really going to to hopefully change the way it illustrates the art of the possible and hopefully will change How, How quick We can look at problems and and we reduced deployment timeframes from from years to months and months to weeks, etcetera for solutions like this. Um, and I think that the AWS platform specifically in this case but what touched on a lot of things to beat the market scale ability But just as the benefit itself was, you know has to be simplified to do this quickly. I think one of the one of the benefits of the solution itself is it's simple to use technologically. I mean, we know least retrained. As I said, I think 1600 agents on how to use the platform over the course of a weekend on and and were able, and they're not normal agents. These were people who are firm from other jobs, potentially within the government. So they're not necessarily contact center agents by training. But they became contact center agents over the course of 48 hours, and I think from that perspective, you know, that was important as well have something that people could could use. The answer those calls that we know that when you were gonna come so >>Ben what this is. This is the transformation dream scenario in the sense of capabilities. I know it's under circumstances of the pandemic, and you guys didn't solve a big, big problem really fast and saved lives and help people get on with their day. But transformations about having people closest to the problem execute and the the also the people equation people process technology, as they say, is kind of playing out in real time. This >>is >>the this is kind of the playbook, you know? Amazon came in said, Hey, you want to stand something up? You wired it together. The solution quickly. You're close to it. Looking back now, it's almost like, Hey, why aren't we doing this before? As you said and then you had to bring people in who weren't trained and stood them up and they were delivering the service. This >>is >>the playbook to share your thoughts on this, because this is what you're you're thinking about all the time and it actually playing out in real time. >>Well, I would definitely endorsed the idea that it's a playbook. It's I would say it's an ideal and dream playbook timidly showing up on the basketball court with all the best players in the entire league playing together magically, it is exactly that. So a lot of things have to happen quickly, but also, um, correctly because you know, you can't pull these things properly together without that. So I would say the partnership with the private sector here was fundamental, and I have to applaud the work that Accenture did particularly, I think, as Canadians, we're very proud of the fact that we needed to respond quickly. Everyone was in this, our neighbors, we knew people who were without support and Accenture's team, I mean, all the way up and down across the organization was fundamental and delivering this, but also literally putting themselves into, uh, these roles and to make sure that we would be able to respond quickly to do so. I think the playbook around the readiness for change I was shocked into existence every night. I won't talk about quantum physics, but clearly some some high level of energy was thrown in very quickly, mobilized everybody all at once. Nobody was said. He's sitting around saying, I wonder if we have change management covered off, you know this was changed readiness at its best. And so I think for me from a learning perspective, apart from just the technology side, which is pretty fundamental if you don't have ready enough technology to deploy quickly than the best paid plans in the world won't work. The reality is that to mobilize an organization going for it into that level of of spontaneous driving, change, exception, acceptance and adoption is really what I would aim for. And so our challenge now we'll be continuing that kind of progression going forward, and we now found the way. We certainly use the way to work with private sector in an innovative capacity in the new, innovative ways with brand new solutions that are truly agile and and and scalable to be able to pull all of the organization. All that one's very rapidly, and I have to admit that it is going to shift permanently our planning. We had 10 year plans for our big transformation, so some of our programs are the most important in the country. In many ways. We support people about eight million Canadians a month and on the benefits payments that we deliver, and they're the most marginal needed meeting and and requires our support from senior study, unemployed jobseekers and whatnot. So if you think about that group itself and to be able to support them clearly with the systems that we have is just unsustainable. But the new technologies are clearly going to show us the way that we had never for forecast. And I have to say I had to throw up, like in your plan. And now I'm working my way down from 10 denying date your plants going forward. And so it's exciting and nerve wracking sometimes, but then obviously has a change leader. Our goal is to get there as quickly as possible, so the benefit of all of these solutions could make a difference in people's lives. >>What's interesting is that you can shorten that timetable but also frees you up to be focused on what's contemporary and what's needed at the time. So leverage the people on the resource is You have and take advantage of that versus having something that you're sitting on that need to be refreshed. You can always be on that bleeding edge, and this brings up the Dev ops kind of mindset agility. The lean startup glean company. You know this is a team effort between Amazon and center and SDC. It's pass, shoot, score really fast. So this isn't the new, the new reality. Any commentary from you guys on this, you know, new pass shoot score combination. Because you got speed, you got agility. You're leaner, which makes you more flexible for being contemporary and solving problems. What's your thoughts? >>So my perspective on that is most definitely right. I think what we what we were able to show and what's. You know, what's coming out of a lot of different responses to the pandemic by government is, um, you know, perfection isn't the most important thing out of the gate. Getting something out there that's going to reassure citizens that's gonna allow them to answer their questions or access benefits quickly is what's becoming more important. Obviously, security and privacy. Those things are of the utmost importance as well. But it's ability to get stuff out there, quickly, test it, change it, tested again and and just always be iterating on the solutions. Like I can say what we put out on April 6th within four days is the backbone of what's out there still today. But we've added, you know, we added an integrated workforce management solution from Nice, and we added some other eyes views to do outbound dialing from acquisition, things like that. So the solution has grown from that M v p. And I think that's one other thing that that's going to be a big takeaways if you're not gonna do anything. So you got the final and product out there, then it's going to be here, right? So let's go quickly and let's adapt from there. >>Then we'll talk about that dynamic cause that's about building blocks, fund foundational things and then services. It's the cloud model. >>Yeah, I mean, before the pandemic, I had lunch with Mark Schwarz, which I believe you're quite familiar with, and, you know, I spent an hour and 1/2 with it. We were talking, and he was so exciting and and energized by what the technologies could do. And I was listening to him, and I used to be the chief technology officer for the government can right? And so I've seen a lot of stuff and I said, Well, that's really exciting, and I'm sure it's possible in some other places. And maybe it's some other countries where you know they didn't have infrastructure and legacy. I guess if I see him again soon, I'll have to. I apologize for not believing him enough, I think the building blocks of edge of the building, blocks of sprints and MVP's I mean they're not fundamental to the way we're gonna. So our biggest, various and scariest problems, technologically and then from a business perspective, Service candidate itself has 18,000 employees involved in multiple channels where the work has always been very lethargic, very difficult, arduous. You make change over years, not months, not days for sure. And so I think that that new method is not only a different way of working, it's a completely re HVAC way of assembly solutions, and I think the concept of engineering is probably going to be closer to what we're going to do on. And I have to borrow the Lego metaphor, but the building blocks are gonna be assembled. We now and working. I'm saying this in front of goal. He doesn't know that you should practice partners. We're gonna be assembling MPP maps of an entire long program, and it's gonna be iterative. It is gonna be designed, built. It will be agile as much as we can implement it. But more importantly, and punches weaken govern. It is, you know, the government is we may have changed. A lot of the government is not necessarily can count on to Most of these things approaches, But the reality is that that's where we're heading. And I will say, Oh, close. Perhaps on this on this answer. The biggest reason for doing that apart from we've proved it is the fact that the appetite inside the organization for that level of globalization, speed solution ing and being engaged rapidly you just can't take that away from an organization. Must be a piece of that. Uh, if you let them down, well, they'll remember. And frankly, they do remember now, cause they want more and it's gonna be hard. But it's a better heart. Ah, a better challenge that the one of having to do things over a decade, then to go fast and to kind of iterating quickly through the challenges and the issues and then move on very much to the next one as rapidly as possible. I think the other company, I would add is most of this was driven by a client need, and that's not inconsequential because it mobilized everybody to comment focused. If you have been just about, well, you know, we need to get people on side and solutions in place just to make our lives better, it providers. Yeah, it would have worked, perhaps, but it would have been different than the mobilisation It comes when the client is put in the middle, the client is the focus, and then we drive. Everyone's with that solution, >>you know, shared success and success is contagious. And when you ride the new way to oh, we need a new board, right? So once you get it, it then spreads like wildfire. This is what we've been seeing. And it also translates down to the citizens because again, being contemporary, none of us just looked could feel it's success in performance. So, as you know, people in business start to adopt cloud. It becomes a nice, nice, nice synergy. This is key. I'll take a year on a center. Um, the award winner. You guys did a great job. Final thoughts. >>Yeah. I mean, I think final thoughts would be happy to have the opportunity that help. And it was a It was a complete team effort and continues to be, um, it's not. It's not a bunch of Accenture technologists in the background in this, you know the commitment from everyone to get this in place. And can you continue to improvement from Benoit's team and from other folks across the government has been, uh, has been paramount to the success. So, um um, it's been a fantastic if world win like experience and, uh, look forward to continuing to build on it. And it has been said, I think one thing this is done is it's created demand for speed on some of these larger transformations. So I'm looking forward to continuing to innovate with with Ben wanting. >>Well, congratulations. The most innovative connect deployment. And because you guys from Canada, I have to use the hockey reference. You get multiple people working together in a cohesive manner. It's pass, shoot, score every time. And you know it's contagious. Thank you very much for your time. And congratulations for winning the >>West. Thanks. Thank you. Okay, this is the >>Cube's coverage of AWS Public Sector Partner Award show. I'm John Furrier, host of the Cube. Thanks for watching. Yeah, Yeah, yeah, yeah.

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. >>Welcome back to the Cube's coverage of AWS Public Sector Partner Awards program. I'm John Furrow, your host of the Cube here in Palo Alto, California In the remote interviews during this pandemic, we have our remote crews and getting all the stories and celebrating the award winners. And here to feature the most innovative connect deployment. We have a center of Canada and the Department of Employment and Social Development of Canada, known as E S D. C guys. Congratulations, Joel. More Children Censure Canada Managing director and Ben while long sdc of Canada Chief Transformation officer. Gentlemen, thanks for coming on. And congratulations on the award. >>Thank you. >>Thank you. >>So, Ashley, during this pandemic, a lot of disruption and a lot of business still needs to go on, including government services. But the citizens and people need to still do their thing. Business got to run, and you got to get things going. But the disruptions caused a little bit of how the user experiences are. So this connect has been interesting. It's been a featured part of what we've been hearing at the public sector summit with Theresa Carlson. You guys, this is a key product. Tell us about the award. What is the solution? That disturbing of deserving reward? >>Maybe I'll get I'll go first and then pass it over to Benoit. But I think the solution is Amazon. Connect a spiritual contact center that we stood up fairly quickly over the course of about four days and really in support of of benefit that the government of Canada was was releasing as part of its economic response to the pandemic. And in the end that, you know, it's a fully functioning featured contact center solution includes an ai VR and, uh, you know, we stood it up for 1500 to 2000 agents so that that's the crux of the solution. And maybe Benoit can give a bit of insight as to to how it came about so quickly. >>Yeah, I'd be happy to actually wear obviously, like every other government, facing enormous pressures at that time to deliver benefits directly to people who were in true need, the jobs are being lost. Our current systems were in trouble because of their age in the arcade cake Nature. And so the challenge is was quickly how to actually support a lot of people really fast. And so it came through immediately that after our initial payments were made under what was called Canada Emergency Response Benefit, then we have to support our clients directly. And so people turn to the transformation team of all teams. If you wish during a fire firestorm to say, Well, what could you do and how could you help? And so we had an established relationship with a number of other system integrators, including Accenture, and we were able to run a competition very rapidly. Accenture one. And then we deployed in, as you all said, in a matter of four days, what for us was a new, exceptional on high quality solution to a significant client problem. And I say that because I think you can imagine how people feel in that endemic of all of all things. But with the uncertainty that comes with the loss of income, loss of jobs, the question of being able to deal with somebody really a human being, as well as to be able to be efficiently answer a very simple but straightforward questions rapidly and with high quality, with pretty fundamental for us. So the people in the groups that were talking through here are talking, speaking to millions of people who were literally being asked to to accept the pavement rapidly and to be able to connect with us quickly. And without this solution, which was exceptionally well done and deployed and of high quality personally, just a technology, uh, solution. I would not have been possible to even answer any of these queries quickly. >>And while that's a great 0.1 of the things that you see with the pandemic it's a disaster in the quote disaster kind of readiness thing. Unforeseen, right? So, like other things, you can kind of plan for things that hypothetical. You've got scenarios, but this >>is >>truly a case where every day counts. Every minute counts because humans are involved is no our ROI calculation. It's not like it's not like, Well, what's the payback of our system? The old kind of way to think this is really results fast. This is what cloud is all about. This is the promise of cloud. Can I stand up something quick and you did it with a partner. Okay, this is, like, not, like, normal again. It's like it's, you know, it's like, unheard of right? Four days with critical infrastructure, critical services that were unforeseen. Take us through what was going on in the war room, as you guys knew this was here. Take us through the through what happened. Yeah, >>So I think I can start a Z. You can imagine the set of executives that we're seeing a payment process. Uh, was an exceptional. It was like a bunker. Frankly, for about two weeks, we had to suspend the normal operations off the vast majority of our programming. We had to launch brand new payments and benefits systems and programs that nobody had seen before. The level of simplicity was maximized to delivered the funds quickly. So you could imagine it's a warpath if you wish, because the campaign is really around. A timing. Timing is fundamental. People are are literally losing their jobs. There is no support. There's no funding money for them to be able to buy groceries. So on the trust that people have in the government, Ai's pretty much at risk right there and then, in a very straightforward but extraordinarily powerful magic moment. If you wish. If you can deliver a solution, then you make a difference for a long time. And so the speed unheard off on old friends when he came to the call center capability and the ability for us to support and service context the clients that were desperate to reach us on. We're talking hundreds of thousands of calls, right? We're not talking a few 1000 year. Ultimately, at some point we were literally getting in our over over, taken by volumes, call centers, but we had a regular one still operating over a 1,000,000 calls for coming in today. Uh, with the capacity to answer, um, you know, tens of thousands. And so the reality is that the counselor that we put up here very quickly became capable of answering more calls than our regular costumes. And that speaks to the speed of delivery, the quality of the solution, of course, but the scalability of it and I have to say, maybe unheard of, it may be difficult to replicate. The conditions to lead to this are rare, but I have to say that my bosses and most of the government is probably now wondering why we can't do this more often like we can't operate with that kind of speed and agility. So I think what you've got is a client in our case, under extreme circumstances. Now, realizing the new normal will never be the same, that these types of solutions and technology. And then there's scalability. There's agility there, the speed of deployment. It's frankly, something we want. We want all the time. Now we'd like to be able to do it under your whole timeline conditions. But even those will be a fraction of what it used to take. It would have taken us well, actually, I can actually tell you because I was the lead. Ah, technologist, to deploy at scale for the government, Canada, all the call center capabilities under a single software as a service platform. It took us two years to design it. Two years to procure it and five years to install it. That's the last experience. We have a call center enterprise scale capabilities, and in this case, we went from years to literally days. >>Well, you know, it takes a crisis sometimes to kind of wire up the simplicity solution that you say. Why didn't we do this before? You know the waterfall meetings, Getting everyone arguing gets kind of gets in the way of the old, the old software model. I want to come back to the transformation been wanna minute, cause I think that's going to be a great success story and some learnings, and I want to get your thoughts on that. But I want to go to Joel because Joel we've talked to many Accenture executives over the years and most recently this past 24 months, And the message we've been hearing is we're going to be faster. We're not going to be seen as that. You know, a consulting firm taking our times. Try and get a pound of flesh from the client. This is an example, in my opinion of a partner working with the problem statement that kind of matches the cloud speed. So you guys have been doing this. This is not new to a censure. So take us through how you guys reacted because one you got to sync up and get the cadence of what? Ben? What I was trying to do, sync up and execute. Take us through what happened on your side. >>Yeah. I mean, so it's It's Ah, It's an unprecedented way of operating for us as well, frankly, and, um and, uh and, you know, we've had to look at to get this specific solution at the door and respond to an RFP and the commercial requirements that go with that way. Had Teoh get pretty agile ourselves internally on on how we go through approvals, etcetera, to make sure that that we were there to support Ben Wan is team. And I think you know that we saw this is a broader opportunity to really respond to it, to help Canada in a time of need. So So I think we, you know, we had to streamline a lot of our internal processes and make quick decisions that normally, even for our organization, would have taken, um, could it could have taken weeks, right? And we were down to hours in a lot of instances. So it helps. It forces us to react and act differently as well. But I mean, to Benoit's point, I think this is really going to to hopefully change the way it illustrates the art of the possible and hopefully will change how, How quickly we can look at problems and and we reduce deployment timeframes from from years to months and months to weeks, etcetera for solutions like this. Um, and I think that the AWS platform specifically in this case but what touched on a lot of things to beat the market scale ability But just as the benefit itself was, you know has to be simplified to do this quickly. I think one of the one of the benefits of the solution itself is it's simple to use technologically. I mean, we know least retrained. As I said, I think 1600 agents on how to use the platform over the course of a weekend on and and were able, and they're not normal agents. These were people who are firm from other jobs, potentially within the government. So they're not necessarily contact center agents by training. But they became contact center agents over the course of 48 hours that I think from that perspective, you know, that was important as well have something that people could could use. The answer those calls that you know that when you're gonna come So, >>Ben, what this is This is the transformation dream scenario in the sense of capabilities. I know it's under circumstances of the pandemic, and you guys didn't solve a big, big problem really fast and saved lives and help people get on with their day. But transformations about having people closest to the problem execute and the the also the people equation. People process technology, as they say, is kind of playing out in real time. This >>is >>the this is kind of the playbook, you know, Amazon came in said, Hey, you want to stand something up? You wired it together. The solution quickly. You're close to it. Looking back now, it's almost like, Hey, why aren't we doing this before? As you said and then you had to bring people in who weren't trained and stood them up and they were delivering the service. This >>is >>the playbook to share your thoughts on this, because this is what you're you're thinking about all the time and it actually playing out in real time. >>Well, I would definitely endorsed the idea that it's a playbook. It's I would say it's an ideal and dream playbook to build like showing up on the basketball court with all the best players in the entire league playing together magically, it is exactly that. So a lot of things have to happen quickly, but also correctly because you know you can't pull these things properly together without that. So I would say the partnership with the private sector here was fundamental. And I have to applaud the work that Accenture did particularly, I think, as Canadians, we're very proud of the fact that we needed to respond quickly. Everyone was in this, our neighbors, we knew people who were without support and Accenture's team, I mean all the way up and down across the organization was fundamental in and delivering this, but also literally putting themselves into, uh, these roles and to make sure that we would be able to respond quickly, do so. I think the playbook around the readiness for change. I was shocked into existence every night. I won't talk about quantum physics, but clearly some some high level of energy was thrown in very quickly, mobilized everybody all at once. Nobody was said. He's sitting around saying, I wonder if we have change management covered off, you know this was changed readiness at its best. And so I think for me from a learning perspective, apart from just the technology side, which is pretty fundamental if you don't have ready enough technology to deploy quickly than the best plans in the world won't work. The reality is that to mobilize an organization going forward into that level of of spontaneous driving, change, exception, acceptance and adoption is really what I would ain't for. And so our challenge Now we'll be continuing that kind of progression going forward, and we now found a way. And we certainly use the way to work with private sector in an innovative capacity and in innovative ways with brand new solutions that are truly agile and and scalable to be able to pull all of the organization. All that one's very rapidly, and I have to admit that it is going to shift permanently our planning. We had 10 year plans for our big transformation, so some of our programs are the most important in the country. In many ways. We support people about eight million Canadians a month and on the benefits payments that we deliver, and they're the most marginal needed meeting and and requires our support from senior studio, unemployed jobseekers and whatnot. So if you think about that group itself and to be able to support them clearly with their systems that we have is just unsustainable. But the new technologies are clearly going to show us the way that we had never for forecast. And I have to say I had to throw up, like in your plan. And now I'm working my way down from 10 denying date your plants going forward. And so it's exciting and nerve wracking sometimes. But then, obviously, as a change leader, our goal is to get there as quickly as possible, so the benefit of all of these solutions could make a difference in people's lives. >>What's interesting is that you can shorten that timetable but also frees you up to be focused on what's contemporary and what's needed at the time. So leverage the people on the resource is You have and take advantage of that versus having something that you're sitting on that need to be refreshed. You can always be on that bleeding edge, and this brings up the Dev ops kind of mindset agility. The lean startup glean company. You know this is a team effort between Amazon and center and SDC. It's pass, shoot, score really fast. So this isn't the new, the new reality. Any commentary from you guys on this, you know, new pass shoot score combination. Because you got speed, you got agility. You're leaner, which makes you more flexible for being contemporary and solving problems. What's your thoughts? >>Yeah, So my perspective on that is most definitely right. I think what we what we were able to show and what's. You know, what's coming out of a lot of different responses to the pandemic by government is, um, you know, perfection isn't the most important thing out of the gate. Getting something out there that's going to reassure citizens that's going to allow them to answer their questions or access benefits quickly is what's becoming more important. Obviously, security and privacy. Those things are of the utmost importance as well. But it's ability to get stuff in there, quickly, test it, change it tested again and just always be iterating on the solutions. Like I can say what we put out on April 6th within four days is the backbone of what's out there still today. But we've added, you know, we added an integrated workforce management solution from Nice, and we added some other eyes views to do outbound dialing from acquisition, things like that. So the solution has grown from that M v p. And I think that's one other thing that that's going to be a big takeaways if you're not gonna do anything. So you got the final and product out there, then it's going to be here, right? So let's go quickly and let's adapt from there. >>Then we'll talk about that dynamic cause that's about building blocks, fund foundational things and then services. It's the cloud model. >>Yeah, I mean, before the pandemic, I had lunch with Mark Schwarz, which I believe you're quite familiar with, and, you know, I spent an hour and 1/2 with it. We were talking, and he was so exciting and and energized by what the technologies could do. And I was listening to him, and I used to be the chief technology officer for the government. Can't right. And so I've seen a lot of stuff and I said, Well, that's really exciting, and I'm sure it's possible in some other places. And maybe it's some other countries where you know they didn't have infrastructure and legacy. I guess if I see him again soon, I'll have to. I apologize for not believing him enough, I think the building blocks of agile, the building blocks of sprints and MVP's I mean, they're not fundamental to the way we're going to solve our biggest various and scariest problems technologically and then from a business perspective. Service candidate itself has 18,000 employees involved in multiple channels, where the work has always been very lethargic, very difficult, arduous. You make change over years, not months, not days for sure. And so I think that that new method is not only a different way of working, it's a completely revamped way of assembly solutions, and I think the concept of engineering is probably going to be closer to what we're going to do. Um, and I have to borrow the Lego metaphor, but the building blocks are gonna be assembled. We now and working. I'm saying this in front of goal. He doesn't know that you should practice partners. We're gonna be assembling MPP maps of an entire long program, and it's gonna be iterative. It is gonna be designed, built. It will be agile as much as we can implement it. But more importantly, and punches weaken govern. It is, you know, the government is we may have changed. A lot of the government is not necessarily can count on to Most of these things approaches. But the reality is that that's where we're headed. And I will say, Oh, close. Perhaps on this on this answer. The biggest reason for doing that apart from we've proved it is the fact that the appetite inside the organization for that level of globalization, speed solution ing and being engaged rapidly you just can't take that away from an organization. Must be a piece of that. Uh, if you let them down, well, they don't remember. And frankly, they do remember now, cause they want more and it's gonna be hard. But it's a better heart. Ah, a better challenge that the one of having to do things over a decade, then to go fast and to kind of iterating quickly through the challenges and the issues and then move on very much to the next one as rapidly as possible. I think The other company, I would add, is most of this was driven by a client need, and that's not inconsequential because it mobilized everybody to comment focused. It could have been just about well, you know, we need to get people on side and solutions in place just to make our lives better. It is his providers. Yeah, it would have worked, perhaps, but it would have been different than the mobilisation It comes when the client is put in the middle. The client is the focus. And then we drive. Everyone's with that, >>you know, shared success and and successes contagious. And when you ride the new way to oh, we need a new board, right? So once you get it, it then spreads like wildfire. This is what we've been seeing. And it also translates down to the citizens because again, being contemporary numbers just look and feel. It's success in performance. So, as you know, people in business start to adopt cloud. It becomes a nice, nice, nice synergy. This is key. I'll take a year on a center. Um, the award winner. You guys did a great job. Final thoughts. >>Yeah. I mean, I think final thoughts would be happy to have the opportunity that help. And it was a It was a complete team effort and continues to be, um, it's not. It's not a bunch of Accenture technologists in the background in this, you know the commitment from everyone to get this in place. And can you continue to improvement from Benoit's team and from other folks across the government has been has been paramount to the success. So, um um, it's been a fantastic world win like experience and, uh, look forward to continuing to build on it. And it has been said, I think one thing this is done is it's created demand for speed on some of these larger transformations. So I'm looking forward to continuing to innovate with with Ben wanting. >>Well, congratulations. The most innovative connect deployment. And because you guys from Canada, I have to use the hockey reference. You get multiple people working together in a cohesive manner. It's pass, shoot, score every time. And you know it's contagious. Thank you very much for your time. And congratulations for winning the West. Thanks. Okay, this is the Cube's coverage of AWS Public Sector Partner Award show. I'm John Furrier, host of the Cube. Thanks for watching. Yeah, Yeah, >>yeah, yeah, yeah

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. Welcome to the >>Special Cube program. We are here with the Amazon Web Services Public Sector Partner Awards program. It's a celebration of AWS public sectors partners and their end user customers where there's been innovation and we're pleased to have on this show here, the award winner for the most innovative AI and ML Artificial intelligence and machine learning solution. Axial three D is the partner, and the end user is Belfast Hospital. He got Roger Johnson, the CEO of actual three D, and Dr Tim Brown consulted transplant surgeon at Belfast Hospital, who has been doing amazing things not only on the as an innovative partner, but really during Covic making things happen by solving the problem of the surgical gap in the number of surgeries that you're doing really high performance saving lives. Congratulations. First of all, congratulations. Roger. Dr Kimberly. Thanks for joining me. >>Re pleasure. >>Okay, let's get into it. First of all, Dr Tim Brown, I really want to commend you on the amazing work that you're doing before we get into some of the partnership awards conversations. You have been at the front lines solving a lot of problems around the gap between the number of surgeries that could take place with Cove. It, um, tell that story real quick. I really think it's super important. Take a minute to >>explain. Yeah, thanks for the opportunity. And it's been an incredible rollercoaster for the last three months, pretty much all of the transplant programs across the world who have been affected by Coupet of shut down but with some pretty innovative on the grill leadership team Working advances with managed to open a program up again. And and Belfast, we have a bytes and 50 to 50 disease donor transplants year over the last three months, with just a 90 90 kidney transplants. Pretty much we've cleared the whole waiting list in Northern Ireland, pretty much for people waiting for a kidney transplant at this time. And it's been a remarkable few weeks, but it really is a testament to the critical care community. People that work in intensive care is the high marks, a support organ donation. Of course, our donors who have given so selflessly at such a tragic time for them. So I'd like to pay tribute to all of our donors into the amazing people who have been involved in the team. Mark belt faster this time. >>That's super amazing. Can you just I just want to pause from and just captured the number of order of magnitude. You said it was 6 to 10 year and you didn't 90 90. >>Yeah, so six weeks basically Teoh, two years work in six weeks old in the middle of the night as well. So it's been It's been hard of hard work, so you can see the sleeplessness. I'm trying to catch up with a minute, but it's been really, really satisfying. An incredible I come for patients and legacy of this of this, the program is gonna last about faster. 40 years. >>Well, I want to say congratulations. I'll give you my Cube Award for not changing the world but saving the world. One person at a time. 90 interviews and six weeks. That's amazing. That's like thinking clearing the waiting list. You really changing lives there. Congratulations. >>That's very kind of you. Thank you very much. >>Roger. Good. A great partner and customer. You have here. Talk about this award. You guys have talked about the company? What is this all about? Why you guys in this position? Why are you winning? >>Yes, So I think our motivation for our company is driven by our partners, such such as? In what they're doing transforms care And even in these horrific situation, our scenarios. We have the moment with Kobe. Think you're hearing the start of the amazing story our job is to give Surgeons liked him the best possible insight that he can have going into his surgeries For the last 20 years, surgeons of relied largely on two D imaging, so C, t and memory scans or for being able to plan their surgeries when it's murdered, technology should apply them much greater insight or they actually perform the surgery. So we've created a technology that platforms on AWS that allows us to turn those traditional hard to understand to the images into micro millimeter precise models off the patients exact anatomy. The value hopefully, two amazing colleagues like Tim is that instead of trying to interpret what a two D image CD or memory scan might mean he can actually see for the first time before he opens the patient up exactly what he's going to find when when he when he starts the surgery. So he immediately start to complete that planning before the surgery actually takes. So hopefully that analyze a number of benefits to results without the shorter operations. Find less surgical meeting we brought into the surgery. Hopefully, faster Surgeries names last risk of infection For patients being shorter Time means most >>awesome. Dr. Brian, I want to get your take on this. Can you describe the impact on your side because you know the future of work, which is everyone's been talking about in the tech industry for many years now, with code we were just talking about. The success is you're having and changing lives and saving lives. The notion of work workplace work, forces, work loads, work flows are all changing. Certainly the workplace people aren't as on site as they used to be. The workforce has to be protected. How does the AI and how does the actual three D help you and your work flows? Are you getting more done? Can you give specifics around the impact to your job? >>Yeah, it's a bit It's been a fantastic journey to date. We're still learning away. It's a journey. We're trying to work out exactly where this lies in. The fact that Kubla does not come along, which has changed, or working practices, that means that we have to look for different solutions on this, I think, is very 100 solution to amend. My practice over the last three years has been in terms of complex and real surgery on oncological surgery, where we have, for example, a tumor and kidney where we think, my goodness, we're gonna have to take this kidney I and throw it in the bin because it's very badly disease. So the index case that we were involved with that was building a child who wanted to donate his kidney to his daughter. But when we worked him up, we find a tumor in his kidney, which ordinarily would have to be discarded. But thanks to the imaging that Excel was able to produce for us, we were able to plan Well, geez, well cut well and as a result of kidney, I really plan a removal of the tumor from the kidney itself. We really repair kidney and then transplant it into his daughter. So with the technology that was available, we were able to save two lives on one particular case on, and it's really grown from there on. We've been involved in five or six different, really complex cases where the imaging has changed the outcomes for our patients who ordinarily wouldn't have been able to. Chief insight comes, I think, the AI interface on the AI solution we've developed in our partnership with the Excel. As I said, it's a journey and we're still finding our way. But to insights that I've really got our the first is that what we want to do is reduce variability, not just in our in our observers, from the way that we interpret imaging tradition is what you're saying is, look a two D images. We're now able to sit and look at this, emerging in a three dimensional space on our desk. Rather than trying to reconstruct these things in your head, we can look at them and discuss the different images with our colleagues in real time, a zealous that which I think is probably the most important thing, is that we're not able to engage our patients and a partnership. Before we had a bit of an unfair advantage that we're able to interpret these images because 20 or 30 years of getting used to doing this as professionals. But the patients are presented with some incredibly difficult decisions to make by their own health and with very little understanding that. But now I can handle the model of their own disease very easy to understand, and that gives my patient autonomy to make the decisions about their own bodies back again. And I think that's a hugely powerful, powerful tool for these guys have about potential decisions that they have to make that more effective for the rest of their lives. >>So the problem you're solving was one of the technical problem. So you're trying to figure out manually, get more insight into the the imaging and to the customer or the patient. This case customer, the patient. I can make a better decision. Those are two problems, statements that seem to be the big ones that I missed. Anything? >>Absolutely, absolutely. >>Okay, so actual three d you guys have a great solution? How >>did you >>get here? Tell us about your story. What's what's What's the big trajectory for you guys? In terms of the value proposition, it seems to be amazing and again highlights. The advantages of technology really solves the problem. But the outcome on the patient side is pretty phenomenal. >>Yes, so the chance for us is there or the development that we have made. The lately, we admit, is to be able to automatically turn these two D images into three D models. So we take each of the slices off of memory or cities. Using AWS is machine learning. We construct three D macro millimeter precise representation of For me. That's only possible. First of all, we treat the algorithms that we created on Amazon platform using over a 1,000,000 pre labeled CDs. Consume our system automatically detect. Yeah, it's a level. What is bone? What is ligament? What is on our earlier vessel? With the training that we're able to perform, we've been able to with with these 1,000,000 images we've been able to in effect, tree and our system automatically detect the parts of me with this micro service level that hasn't been previously possible. This technology, or the ability to create three D models, has existed for maybe 10 or 15 years, but it's it's needed. Experts like him who were, in effect manually code the two D image pixel level and could affect so some software and turn it into a three D image. Typically, too, it's in ours, often expert like them to do. And the problem is, Tim could only do one of the time. We estimate there about three million of these complex surgeries each year in the world that need open effort from greatly from this enhanced imaging. And we couldn't get 33 million under these, especially. And that. So we have this process no on the AWS platform, with dozens of these models in parallel, and each more will take maybe a few minutes to turn from the CD into the into the three D representation. So through the park off the Amazon Public cloud, we've been able to provide this this powerful machine learning automated solution that can actually scale toe man >>Dr Brian talk about the impact because, I mean Andy Jassy, the CEO of AWS, always talks about this. When I interviewed him, he says, you know, we're here to help do the heavy lifting this sounds like some pretty heavy lifting. What was just talked about? I mean, the manual work involved. You essentially have a collective intelligence and supercomputer power with AWS. What's your take on this as this evolves? Why isn't everyone doing this? >>Yeah, well, I don't know why. Every minute. That's that's That's the key question. It really is. From my perspective, there is no heavy lifting at all, and what I do is I push a couple buttons. I put a bit of data, and I send it off. From my perspective, it is about as easy as it gets is probably a ZTE sending email, which we do hundreds of times a day. And so, from from my perspective, I'm delighted to say there's no heavy lifting until I get a patient's data. I send data through to excel, who will then fool me and say, Listen to what is it exactly that we want to have a personal service from actual on? A couple days later, there's a delivery of a beautiful life size three D representation model, will check and then take to plan on and treat a patient with. So the heavy lifting really has all been done. A Z Roger alluded to in the past. It was hugely time consuming work that required a huge amount of training. But basically that's being replaced with a push of a button on. These supercomputers have taken all of my heavy lifting away on, and I think this is one of the true representation. Zoff technology really, really advances real world solutions and my patients are benefactors. From this >>Roger Dr Brown. Lay out the architecture because, first of all, pretend I want to take this every single friend that I have here in California and around the world. I want to just deploy this. What's the architecture and what's needed on the deployment side? Say it to Belfast as you deploy this. What's kind of involved in you? Just take us through high level. I must be cloud scales. Amazing, No doubt about it. We just talked about that. But what's involved in the architecture side of my standing? A bunch PC two's Is there sage maker involvement? What's the architecture and then deployment? What does that look like? >>Sure, So again, a slight step back. One of the challenges when, when we is the MedTech community try and introduce innovation into health and hospitals that the hospitals i t. Infrastructure network definition is often very locked on. So we're trying to bring new software and load it and install it in the hospital data system. That is a huge, often lengthy process that has to be done through lots of hoops in terms off Hey, network a compliance. Lots of different steps along the journey and that often wants from a good reasons, is a significant barrier to the timely adoption off innovative technologies in the cars. What a what a platform a selfie on AWS allies were just another website, as Tennis said, is, uh, only that, though his only existence with actual three D in terms of the interface is dragging and dropping the CT scan into our website into a portal portal exists quickly on the AWS instance. In one of our region, we are working with a little in the US. Never leave the US We use the the public client version in US East. We take advantage of many features within AWS, but a sage maker is probably a core of what we do. It's not innovation that AWS introduced know several years ago that was like juice this this machine learning trained set of algorithms that allow us to give this disruption. >>And it sounds like the more you use it, the more get smarter. Or is that as well? >>Absolutely. So our journey is, As Tim said, we're on a journey not only in terms off the technology and you're very receptive. In terms of yes, the more we train it, the more we treated on specific anatomy types or pathology types or trouble types, the better our system gets recognizing the specific characteristics of those. More importantly, this is about a journey I having made this disruption, we make the change and transformation off new standards of care pathways. That's the innovation that we just enable. It's amazing. Surgical teams like hymns. Let me transformation >>Dr Brown on your side. You're sitting there. I got a big problem trying to solve these problems. I got patients one but one better outcomes. They want to live. I don't want to throw away kitty, so I don't have to you to solve that problem that when when they bring that over, what was it like over on your side of the house is a practitioner. Deploying it. You've got you've got two jobs going. You're kind of doing I t integration on one hand and you're a surgeon on the other, trying to make things happen. You know what I see? This is not a lot of I t here. What's the deployment? Looks like. >>Yeah, deployment means I don't know. Why ever announces doing that. Such a straightforward, easy situation. It's that's remarkable. Ready? It's such a good solution, and I think part of any sort of change management program, and this again is change management. It's challenging the way we think about things. It's challenging people's comfort zones on any time we need to do change. We've got this anatomy of change. You've got innovators go early, adopters will lead the doctors, and I think what we're going to see over the next 5 to 10 years is people are recognizing that this technology is a game changer, possibly being driven by their patients who say I'm on the three D model and I want to see what this actually looks like because basically not black and white picture you're showing me doesn't make any sense to me and I think there's going to be the two drivers is that the first is that we want to have a consistency of care on the lack of variation in our care across across old old services. But as well is that patients? I think we're gonna drive this as well. So once once we get the innovators and the early adopters of this technology on board, then we'll see a tipping point. And that's that's when it becomes an acceptable normal thing for people to do. When they come in the hospital, they'll be sure print tight off their three d printed like moral off their pathology. I'm not a huge demand for their decision making for treatment processes, and that's a true collaboration between doctor or surgeon on the patient. That's that's where we need to be in the 21st century. It's it's going to be a collaborative decision making process. You talked about the pressures, journeys and this This is a really integral part. This is the roadmap of your journey to a large extent. So I think this I can see this being rolled out worldwide, being driven by patients buying a correction and variability of healthcare provision. >>That's a great example is an innovative award winner for the most innovative use of artificial intelligence and machine learning. Three D images saving lives Congratulations, Tim Rogers. Phenomenal Final question As we end this out, what's the scar tissue pun intended? You know, What did you learn? What was some of the things that you could share with folks as people look at this and say This is an example of cloud scale and the technology for good. What lessons have you learned? What can you share for folks? Take a minute to explain the split. Roger. We'll start with you. >>Yeah, sure. So I think a number off lessons for us on this journey Assistances, This is Ah, we're at the start of a journey of understanding the power off the what three d imaging can bring just to providing a consistent use variable care, but also as a stem also alluded to in terms of off the patient understanding, I think that patient understanding is one of the huge leap forwards that way. Didn't set out initially thinking we're going to be able to help educate on better inform patients. But that was one of the derive benefits suddenly part. So that was a great lesson. I think there is incredible levels of adoption that we're starting to see across the US across Europe because it's so easy to adopt. Compared to traditional methods, surgeons registered for Canadian start transacting and instead of us almost as opposed to having to have these huge I t programs. So I think we're now starting to really scratch the surface and start seeing the benefits of this isn't an administrative system. It's not me. HR system. It's not a finance system. Or maybe a healthcare was comfortable. And using public like this is core hard core clinical services, clinical diagnosis. Clinical education on the Amazon cloud is enabling that it just wouldn't be possible with this technology we started. Actually, the lessons were learning or just just >>Dr Tim Brown and take us home and the segment with your take lessons learned and advice to others. >>I think the lessons learned are the doctors and health care providers are all extremely wary off change of new innovations because they feel that already they're overburdened. Probably my colleagues in the states and across Europe perfectly like they were a bit over, burdened by all the things that we have to do, and this may potentially have been more difficult or wants to your workloads. And actually, let's make your workload along each year convincing people and getting people to understand that this really does make your life a lot easier. It actually removes all the scar tissue, removes the difficulties that have been put in place by by organizations on once. People realize that, that's what that there is no heavy lifting. And this will make a huge difference to your practices, your patients understanding of your practice, and we'll stop so people really realize that the tipping point will be achieved. I'm looking forward to that day because this this is going to be the new normal in the next 5 to 10 years. >>While the performance that you're putting up the numbers of 90 transplant successfully over six weeks dwarfs the full year, last year really kind of shows the outcome is a game changer. And again, congratulations on your success. Roger think Thank you for coming on Corrections on being the award winner. Eight of his partner for the most innovative AI and machine learning solutions. Thanks for taking the time for this 80 s partner awards program. Thank you. >>Thank you. >>Okay, I'm John Furrier. We're covering the AWS Public Sector Partner Awards program put on by the Cube and AWS Public Sector Partners. Thanks for watching. Yeah, Yeah, yeah, yeah, yeah.

(techno music) >> From Orlando, Florida, it's The Cube. Covering SAP Sapphire Now 2018. Brought to you by NetApp. >> Welcome to The Cube. I'm Lisa Martin with Keith Townsend and we are at SAP Sapphire Now 2018 in Orlando. This is a massive event. Not only are there 20,000 people here but there's about a million engaging with SAP this week online. Amazing! We're joined by a Cube alumni. Welcome back to The Cube >> Thank you Lisa. Chris Hallenbeck. You are the SVP of Database and Data Management at SAP. >> What they tell me. (laughter) >> That's what they tell you. That's what your cards say? >> It is. >> Alright. Well, thanks for coming onto The Cube. So this event is enormous. Sixteen American football fields is this space. You really can close your rings. >> Well, and it is, is the energy is just crazy. It's actually different than other years. I don't know why but it really it is. >> You know yesterday, that's what Keith and I were saying yesterday. Bill McDermott really kicked things off with such enthusiasm and genuine energy. It was really amazing to see that. You don't see that with a lot of, see levels on day one. That energy was really palpable as was. >> Enterprise applications aren't that sexy huh? (crosstalk) >> Apparently they are. >> Well, apparently they are now. >> Who knew? >> Well, and that's the thing too. You guys wanting to be one of the top ten most valuable brands in the world. Up there with Apple, Google. And one of the cool things I saw yesterday on a bus out here was ERP that you can talk to and hear from. So taking this, what was an invisible product and making it now something that people can engage with like a digital assistant at home. Remarkable. >> Well, yeah. No. The user interface which has been a huge, huge thing. We have these massive UX labs throughout the world. We have ones in Palo Alto. We have ones throughout Germany and other locations. And we've been really looking at how people engage with the software. And it's not only through a screen although that's it and we win all these Red Dot awards, the Preeminent Design Award. We get those consistently now, many a year, for the work we're doing within UI which is fabulous work. But we're also again, a lot of people aren't in front of computers anymore. So how can I actually just speak into my phone and get all the information I need? How can I have the device speak to me? How can somebody wearing gloves on an assembly line, automatically they vibrate if they're reaching for the wrong bin and would have grabbed the wrong part which create a faulty defective product. So it's all built in, our actually shoes vibrating if something else happens. And so actually this interaction of sensors in two way, taking IOT data in, and then also feeding it back into signals but that's part of the interface of the software. It's not always sitting in a screen and if you are in front of a screen, they're actually pretty great to use. >> So speaking of these consumer technologies, we've had this expectation and these technologies have changed the expectations of what our business tech is. We expect to be able to do things such as, hey, say what's the latest score from last night's game. And now there's these intelligent streams of having conversations with computers. All that is powered by the data on the backend. SAP traditionally hadn't been. We talked about it on stage this morning. SAP hadn't been known for the type of company to sub at to the real-time data entry, real-time data analytics. >> Yeah. You're all about data management. We heard something on the stage this morning. What was it? Data management suite? (crosstalk) The mature database now. (crosstalk) What is that? What's that about? >> Well, now what we're finding, you know, HANA enabled these incredible use cases and originally we were all, we actually didn't run underneath SAP applications an entire database but really a data platform that people were doing these incredible innovations on. And then of course it really started to get swept underneath and it went under BW and then it became part of Sweden HANA and everyone just focused said, oh yeah, HANA is just gonna be like Netweaver. It's just a system that runs underneath SAP and we kept saying no, it's not, no, it's not. And it was sort of but that was its main, that was where it was mostly getting deployed. And then what you're actually seeing here at Sapphire is this massive breakout of technology in full use use cases. That people are using it outside even non-SAP customers are using it to solve their individual problems. Really going after that huge, that 80% of data which is non-SAP but the challenge there with is how do you handle that? Data is now sitting out in all these different clouds. HANA was known for orchestrating data but it was really designed to do it on premise because we knew not everyone's gonna put data into our system. We came in late, right. And yeah we're the fastest growing but data was sitting in Oracle, and the TIZA and that's coming up and going into data lakes, running on ADO and we could orchestrate and move that data into HANA or do it in place. Go to the cloud, it's totally different. Average customer and CIOs are telling you they have six to eight clouds and you're like, wait, how did you get to six to eight? And you're like, yeah, they've got data in storage just in Azure, in AWS, and in Google but they've also got in all these different cloud applications and a lot are from SAP but a lot aren't and yet and so companies are telling us we've lost the view of who our customer is. We've lost view of our business. Which is the opposite of what you would have expect from this data explosion and, you know, digital transformation which was like showed up and disappeared in like two years but so how do you handle that? If I have data. So much data sitting out there. IOT data in the edge, love file data sitting in object stores, I've got data in different applications, data still on Fram. How can I actually possibly move that? You can't. There's no way to put it all together in one cloud. Everyone says, oh, bring it to my cloud. It's not viable. >> Right. So how do I actually push compute, get the data I need, refine it in place, and orchestrate and move that together with the ultimate security in governance? Which is what our customers are wanting. They're saying, how Chris for our non-SAP data and SAP, can I move data for application integration? How do I do analytics? How can I pre-press data and load it into a data lake, into a data warehouse and then I'll come back and do some other cool stuff on it with data science? And that's all about by combining HANA and data hub together in a suite with deep integrations, technically from a data center readiness it's all as a service runs in the cloud but because we're SAP it's also on Prem enabled if you still want to run it that way. And it allows you to solve these huge data problems and we also help you. We bring SAPs intellectual property of data models to this so you can use things like Enterprise Architecture designer and say look we don't have a model of customer. I'm like, well yeah, what kind of industry are you in? Okay, I've got a high tech customer model pre-built for you so then you don't have to build that from scratch. We bring the things to you. So now you can get very, very quick value right from the implementation within weeks. >> And that speed is obviously essential. >> Well, how does it. (crosstalk) >> HANA's a terror, which it's known for. >> But you're right, sorry Keith, you're right that in the consumer world because we have access to everything everywhere from so many devices, we as business people expect the same thing. >> Yeah. And so that speed is critical. You talk about, you know, multiple clouds, data in so many different sources. It's not valuable unless you can actually harness it and extract insights that may only be viable for a quarter or something like that. >> But nobody even knows where the data is and so you look at like we're about to, we were talking about HANA. I just came back and we're coming out a little bit later the year with HANA data hub 2.3 which is part of HANA data management suite and that actually has a whole metadata repository. So someone who knows what they're doing goes in and maps out where all this data is located and actually they don't have to do it all themselves, it's got heuristic-al and semantic search to automatically map and categorize data. I can then map that back to like my definition of customer or supplier and other things. Now everyone doing all the analytics and doing exactly what you're talking about Keith where can I just say into my phone, hey, someone in board meeting goes hey what were our results within two peak last year over this year and show and break that down by city and have it just pop up. Just like you say to somebody, hey high school football game, didn't those two play together? Anyone can do that on a mobile device but we don't know the data in our own company. How do you do that? And then let HANA data management suite will automatically know where the data is, orchestrate, go get it, pull it together, and deliver that back to a mobile device that you might have spoken into. >> Do you have a favorite customer that articulates just what you said? >> I do. I just actually walked out of a session. It was just and it sounds a little boring but it's incredible what people are doing. So I just walked out of a thing with the Swiss Federal Railways. Sounds boring but you know where. I live in Europe and everything is by rail, right? And so they're doing about 60 percent of the rail traffic there is passengers, 1.25 million passengers a day plus the balance of 40 percent of the trains are freight. They're having a huge problem because you use huge, it's all electrical and they're trying and so when you get up and it's growing rapidly. So they're, and they do their own power with power plants and when they go up with power plants, when they go over peak they have to spot by at just massive times a premium on that data on that. And we're actually doing this a lot of place out of rail but they also use electricity on heaters and other stuff in the cold winters and air conditioners. They're now streaming information off the trains, off of the points all the way along the signals and from all the power plants. They know peak usage. It automatically detects when they're going to go over and rather than going into the plants, it actually cuts the heaters off for a second here or there. There's heaters in all the switching equipment. They know how long they can do it. HANA managed this, this is automatically so it's IOT in but it's automatically making automated business decisions, shutting down systems programmatically, intelligently actually using machine learning and keeping it. So now what they do, so now they don't need to go out to the spot market in buy energy anymore. It has cut their electrical usage by a third. >> How much money have they saved? >> No, what's a third is how much money they've saved. The electricity is still high but they're not buying that really, really >> The premium. expensive premium and so you're streaming data, it's all over, it's all happening in real time, and it's automatically kicking out business processes without human intervention. And then it's a platform for them where they're adding all this new capability to save in other ways and so it's just, you know, simple but clean really good use. Good for the planet. It's great for the customers. And now they have, and by the way, when you hit those peaks, that's when they short-out systems and that's when trains stall out. So actually you're getting better servicing of the trains. So, yeah, it's good storage. >> So edge core cloud, great breakdown of kind of the use case. The data is being collected at the edge. Data may not even be collected in a SAP system? (crosstalk) We're doing great! >> It's reality. >> It is reality and one of the things that I think architecturally that enterprises have a hard time wrapping their head around, HANA in-memory database defeats latency when you're inside the database, when you're inside of the data center, however you were thinking about HANA data management. How does the in-memory database impact and data management impact data retrieved from the edge? Help explain the importance of metadata and willing down that data so that we can get it back to the cloud and process their important data. >> Keith, it's a great question. Sometimes, HANA is not, you know. Although we like to go it's a hammer and we think everything's a nail but sometimes you don't which is why we have data hub. And it has unique capabilities for doing something called data pipelines and movement. So we can actually do all the data transformation movement calling tensor flow in flight. We do this as the data is in movement so we're actually doing all of that processing as it's moving through. If you need extra horsepower and want to combine different data types and there's certain capabilities pipeline engines don't solve well. HANA is a service which HANA is now completely cloud native. They can actually bring up HANA in a few seconds. It will take the data flow in, compute it, it's not being used as database, it's a compute layer out at the edge, the data flows out to move on to the next step usually via a data pipeline from data hub and that service gets shut off. So you just pay from small compute when you need to bring out the big guns and then it moves on. And maybe that data never comes back into a HANA system, maybe it does, but you're using the technological underpinnings of in-memory computing in this way as just literally a flow through compute engine. >> And I think that's the disconnect a lot of organizations have because you associate s4 bases, BW, all these applications on top of the database. They don't think of HANA as something that you can spin up, spin down. >> But that's brand-new and that is what we just announced and went live last week. So HANA was, there's traditional on-prem system, bare-metal, it run virtualized but I mean talking about big arm running HANA systems. Now to actually have it, so HANA as a service came up. We rewrote the entire thing to make it completely cloud native and orchestrated. It's all containerized in elastic. It runs, it came up last week running an AWS and available also in GCP. Our target is a little bit later this year. I always have to use a safe harbor language. It'll be coming up on, it'll be coming up in Azure and after all the rest of SAPs data centers and then also coming out and in Asia through Huawei and coming up in those data centers as well as some others we have planned. And that's where you actually get this fully elastic HANA that's able to come up and come down automatically. >> So this massive transformation that you guys have achieved in 46 years, say 46 years young, 390,000 customers. >> Yeah. SAP didn't get to where it is without having a really robust symbiotic partner relationship ecosystem. We're here in the NetApp booth. There's a 150 partner sessions alone at Sapphire this week. Talk to us a little bit about how the partner ecosystem is helping you guys give customers the flexibility and the choice that they need. >> Yeah, no, and it is. SAP can't do everything. And so a lot of the aspects are that we look at in very different ways. Of course, some companies and the big corporations we deal with need strategic SIs, these strategic integrators to do consulting and other pieces and we work really closely with them on and they have specialized practices and other things on both HANA. They're extending out into the HANA data management suite. We do the same thing since we realize you need boutiques. We're the fastest geospatial engine in the world but that's a very niche piece although geospatials may be the hottest data type out there happening right now. Those are very specialized boutique firms. So we work with all of those and to help our customers when they need that. So we work with a lot of specialists. We work boutiques but we couldn't do this without hardware partners, with storages which is why we allow. There's still a lot of folks running on Prem. So we still have to have all these things so we have HANA tailor data center integration so you can certify your systems like NetApp. You can certify everything else on prem so you don't have to rebuy new hardware. Use what you have. I'm not trying to get you to buy a bunch of new appliances. And then the other one is a lot of is via and OEMs have started building out on HANA but now what they really want to do is go directly on HDMS as the cloud offering because it runs both in any cloud, which is a very unique differentiator that we run in every major cloud out there, as well as coming back and running on-premise. They can play their applications very risk-free with the extreme security and governance we're providing within that stack to build applications that they want to sell and use for enterprises. >> So you've been with SAP about six years you said and even Bill McDermott said in his keynote on day one, biggest Sapphire ever. You've seen a tremendous amount of growth. The momentum here is so palpable. The types of validation that SAP is getting through the voice of the customer, through partners like Netta, the different partner ecosystem. That validation is electric. >> Yeah. >> What excites you about everything that was just announced in the last couple of days about the rest of 2018? Where do you go from here? >> Oh my god! Okay, it's like asking me to pick my favorite child. (crosstalk) But, you know, honestly I get to. You get to see the innovations that I still enjoy. I love the full use use cases because I'm like a compute guy at heart but I see all the applications that we've done in these demonstrations. The fact that people have applications that are giving all of the analytics in line with the transactions on these gorgeous UIs. I mean you run these things on a mobile device that means the data layer has 20 milliseconds to actually not only grab the data but to do all the predictive analytics and everything you see to give you that nice two second screen to screen time on your mobile device and that's what we've worked for six years to enable. And now we're seeing that potential coming out at places like Swiss Rail. Just was talking with Gustav Rossi through the biggest cancer research labs and hospitals throughout all of Europe. They're doing all this genomic research, personalized medicine for cancer patients throughout Europe using HANA. I didn't even know about it, you know, or other ones we talked about beef farmers. Talking about smart farming throughout all the Netherlands. Reducing pesticide use, water usage dramatically down, and they increased yields by 10 percent. I mean and they're doing this on native HANA. So this area for me, the excitement of people and busting out of the SAP core traditional CIO market and moving into this 80% of data is to me exciting that people are seeing that HANA is not just an SAP appliance but it's really a general-purpose data platform for these innovation use cases. >> Helping customers change their business, change industries, save lives, pretty cool stuff. >> Yeah, I think so. >> Chris, thank you so much for stopping by The Cube and sharing with us your enthusiasm and your excitement for what you're doing at SAP. We appreciate it. >> Well, thank you very much. This was awesome. Thank you guys. >> We want to thank you for watching The Cube. Lisa Martin with Keith Townsend at SAP Sapphire 2018. Thanks for watching! (techno music)

(light techno music) >> Announcer: Live from Boston, Massachusetts, it's The Cube. Covering ZertoCon 2018. Brought to you by Zerto. >> This is The Cube. We're at ZeratoCon 2018, Hines Convention Center in Boston. My name's Paul Gillin. My guest is John White, the VP of Product Strategy at Expedient. Why don't you start off by giving us just the elevator pitch on what Expedient is all about. >> Sure, Expedient is a cloud-service provider as well as managed service provider, and we also have data centers that we operate here mainly on the east coast. We have seven cities and 11 data centers. Those are in Boston here, locally as well as Baltimore, Maryland, Pittsburgh, Pennsylvania, Cleveland, Columbus, Indianapolis, and Memphis, Tennessee. And then we actually, we'll put our private cloud services really anywhere. So we actually will put 'em on the customer's premises to meet that need as well as in partner data centers anywhere over the world, if they have to deal with compliance, security, whatever it might be, we'll go and tackle those problems for them. So our goal is to be an infrastructure as a service provider for, you know, really all the enterprise. >> So, when would a company do business with you verses a Microsoft or an Amazon? >> Yeah, so, if you kind of look at really three ways to kind of go cloud, right? You can still do it yourself. You can build some cloud-based services. And that's, again, you're in it on your own. You can go all the way to the extreme, which is the AWS or the Azures, and that's more, again, you're kind of in a do-it-yourself type of mentality. And your support structure there is a little bit different. It's maybe a little bit more mechanical, a little bit more robotical. If you need help in transitioning and figuring out where your workload should sit, and maybe creating more of a hybrid cloud so it's maybe on your premises, it's inside one of our data centers, and then maybe it's even in one of those AWS or Azures. You're going to work with a company like Expedient to go and help you figure out where you should put your workloads, first off. And then how to create that long-term strategy so you get the best of all worlds that are out there, not just one prescriptive cloud. >> So, you're kind of a high-touch cloud provider then. >> Very, very high touch, yeah. Our whole product service is actually a la carte menus. So you pick and choose what you want. We can manage servers, we can provide virtual infrastructure, we can do things like DR as a service, backups as a service, all those pieces. So you build, basically, your perfect IT strategy with us. And then direct connects into AWS and Azure and some other cool products coming soon to kind of make your life a little bit easier, consuming and running your work loads in public clouds. >> Well we hear a lot these days about multi-cloud, about customers wanting to shift their work load seamlessly around between multiple back-end cloud providers. Certainly vendors talk about that a lot. Do you hear customers talking about it? >> Yeah, we have some customers starting to talk about it. And, you know, in the beginning, they just wanted to see, okay, I'm running workloads in AWS, I'm running workloads in Expedient, I'm multi-cloud. And then they start to understand. well, our management's really hard. And the network's really hard, and the security's really hard. And we're doing backups another way than we've done it traditionally. And we're helping customers bridge that gap and saying, we can take some of the security policies that we've been running internally in our data center, and maybe you've been doing inside your data center, and take those out into the public cloud. Simplifying things with networking. We're a pretty big VM or NXS shop. So doing something where you can create tagging and policies local inside the Expedient data center, and then being able to translate those up into AWS and Azure, to make it, basically, one seamless network, is really, really big and key for our customers. It's something that I think is still new. We have a handful of customers that we're working on a lot of cool research projects on. But I think it's going to be something that's going to be the dominant force here in the next few years. >> You mention disaster recovery as a service. Now is that where Zerto fits into your plan? >> Correct, yeah. We've been working with Zerto for quite some time now really since they were just comin' to Boston. And we worked and spent a ton of time with them getting them to understand the needs of service providers, 'cause they were traditionally enterprise focused. And that partnership that we've built over the years has done tremendous value for not only our customers but our businesses. And we've actually had two year-over-year growth for the last three years with them. And actually, we just won the Service Partner Growth Partner of the Year Award with them. So we're creating some pretty cool solutions around DR as a service, and taking some of our network background and actually simplifying DR for our customers that way. So, we use Zerto as well as VM Ware, and some of our own product connectivity, NSX, to actually simplify the package of DR to get the recovery time objective down into 10, 15 minutes, instead of four hours or eight hours or multiple days that really most people are experiencing right now. >> So when you look at the landscape, there are a lot of disaster recovery solution providers you could've worked with. What does Zerto do that's really different? >> The part, well, on a technology wise, watching them take a look at the change block that's occurring that's out of the VM1 environment, making an agnostic from a storage layer, that was really big for us in the beginning on the technical tip-in. And then the partnership, as of late, really since the beginning, was the big value differentiator that we just couldn't find in other companies that're out there. We locked arms with their product management team and their product strategy team right away. We gave them literally two sheets of paper and said these are the things we need to be successful as a service provider using your software. They went down, checked 'em all off. We started goin' at it, and we started then growing that year-over-year for the last three years. So, it's been an amazing partnership. They have a strategic team that understands where the marketing industry's going. And we're going to use them, and leverage them, as much as we possibly can to help out our customers, give 'em the best outcomes they can possibly get. >> When your customers talk to you about backup, where do you see them going? Where is that market headed? >> So backup, traditional backup is something we've been doin' for quite some time. We do petabytes of backups every year for customers. Still using tape, believe it or not, as well. We have a lot of discs-- >> Tape will never die. >> Tape is still out there. I actually have a bumper sticker that I think EMC made when they bought Avamar saying Tape is Dead. And I don't think it's going to die anytime soon. >> Mainframe was dead, too. >> Yeah, right, mainframe has been dead and we still roll new ones into our data centers on a regular basis and then put cloud beside it. But on the backup side of it, if you look at some of the new disasters, right? Look at Atlanta. Their disaster was different. It wasn't a natural disaster, it was a-- >> Radsomeware attack. >> Ransomeware attack. Right, that's a new disaster. We're going to find new disasters, and you can't go and restore back from 24 hours ago and think that that's good. We don't live in that world anymore. It needs to be from five minutes, seven minutes, 30 minutes, whatever it might be. So, we use their journaling today to actually get those quick recoveries. And if they can extend that out, I think it's going to be pretty powerful for customers to say, okay, I want to go back to two years, three days, and six hours from now. And say, gimme that point in time, snap. That's the way I want to actually restore that data. Succeeding in that vision I think will definitely change the game for how we actually look at doing backup and restores in the future. >> A lot of talk at this conference about resilience. >> John: Um hmm. >> Is that a concept that you think customers, your customers, have really internalized? They understand what that means? >> They're getting it, yeah, definitely. I mean, DR even was something that we had to kind of walk them into. But now, if they have an outage, it's not just money that they're losing. It's the reputation. And as we all know now, reputation is key. And you look at Twitter. When somebody has an outage, or has a problem, I mean, their users essentially just blow 'em up and there's memes and all kinds of other stuff. There's a lot of funny ones for the airlines, from Delta and Southwest havin' those challenges. And so, our customers today are realizing that yeah, we can't go a day or two without having service to our customers. We can maybe go a minute or two, but that's about it. We need to make sure we're being resilient with our data. We need to make sure we're protecting it, we'll be able to create ways to quickly roll it back to make sure our customers are up on line. Because they just can't go down anymore. >> How important is security as a driver of resilience and spending on disaster recovery now? >> Yeah, security is definitely, with being able to quickly restore from like a ransomware, it's startin' to bring that infrastructure that has been, security's been a little different there, and where network security's been a little bit different, kind of bringing them together to create, say, we need to have a full package. We not only need to figure out how we're blocking it at the edge and blocking it internally east west, but we need to figure out, if we're going to get breached, 'cause we're going to get breached, how can we quickly restore from that? How can we make sure we're not being held ransom for Bitcoin or whatever the next currency's going to be that they're going to be held ransom for that they just can't pay because maybe it would knock them out of business. >> So, John, Expedient, being a small, specialized cloud service provider, you're kind of dancing with elephants when you're out there with Amazon and Microsoft. What's the secret? What keeps you guys successful and how do you keep viable? >> There's a lot of different things. I think the way we focus on technologies is a little bit unique. I mean, we're there to design the best technical solution for that customer. And not maybe fit them into a one-size-fits-all outfit. The other side of it is, a lot of our customers like the local touch and feel. Majority of our customers are at and around our data centers. That way they can get to learn the facility, they can, even if they're running cloud services with us, they know where it lives. That maybe eases their minds from a compliance standpoint, security standpoint. Or just in a trust, saying, I'm going to take my data that's been living inside of my data center, that's key to my business, and I'm going to give it to somebody, I at least want a face and a name so I can know who to call and who to talk to if there is ever a problem. >> Face to face still matters. >> It does, and I think it's always going to matter. And I think we're always going to have some sort of high interaction with every enterprise out there. And that's what they're going to need. 'Cause this stuff can never commoditize all the way. Creating the solution is still hard. Maybe the bits and pieces underneath it are a little bit easier, but the whole packages is going to always be unique and really hard to define in a one-size-fits-all for a lot of those enterprises. >> John White, thanks so much for joining us. >> Thanks for having me. >> We'll be back from Zertocon 2018 here in Boston. I'm Paul Gillin, this is The Cube. (light techno music)