>> 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. Hi, and welcome to a special production of the Cube. We're talking to the Amazon Web services, public sector, their partner awards program. I'm your host stew minimum, and we're digging in on education is one of the sectors. Of course, public sector looks at non profits. It looks at the government sectors. Education, Of course, when we talk about remote learning is such a huge, important topic, especially right now in 2020 with a global pandemic so happy to welcome to the program. We have two guests. First of all, we're representing the award winning company Mohammad. He is the co founder and senior vice president of architecture and engineering with Lumen and joining his one of his customers, Damien Doyle, who is the associate vice president of Enterprise Infrastructure Solutions at the University of Maryland, Baltimore County, or UMBC. As it's known, gentlemen, thanks so much for joining us. >>Thank you. Thanks for having us. >>Alright. First of all, Mohammed, congratulations. As I said in my intro, you know, such an important topic and I have two Children that are, you know, dealing with remote learning have lots of friends that were in higher education and, you know, in the technology space. So your company is the 2020 AWS Public Sector Award winner for best remote learning. I'm sure there is a space that has a lot of competition on. Of course, leveraging public cloud is a great way to be able to ramp this sort of thing up rather fast. Give us a little bit. You know, you are the co founder. So would love to hear a little bit of the origin story, your background and Ellis about what differentiates the looming >>sure loom in we provide ah manage products and services around end user compute with a focus on education for providing access to applications and other technology. Resource is, of course, content course applications in the public cloud, so that users are able to use, you know, whatever device they have wherever they are, um so and have access to those applications that are required for completing that force work they could be in, you know, in at home, in their dorms, at a corner coffee shop on the side of a mountain in the Middle East wherever they may be. But leveling that playing fears playing field so that they could access, um, have access to any of the demanding applications on any device is what we're You know, What our goal is is to make sure that we're not having technology be a barrier to their learning. >>Fantastic. Damien, If if we could turn to you, then atyou NBC, maybe if you could give our audience Ah, thumbnail of you know, the university and I have some idea of the challenge that was put in front of you when you talk about the learning. But maybe you could give us a little bit of the pre cove it and, uh, you know what? What you were faced in and what you were looking at when it came to dealing with the current situation. >>Sure be happy to So where you? NBC is a mid sized public institution. We're sort of suburban, about 14,000 students, and we have undergrad, graduate and doctoral programs, and we have a heavy focus on a lot of the stem disciplines. And so pre cove, it very based in collaborative environments, active learning but but hands on. So a lot of our programs really do have a lot of that. We leverage technology very heavily, even if it's in whether it's an engineering biology, any of those kinds of programs. Uh huh. As you said that the challenge became how do you very quickly pivot into an entirely online model when you sort of scatter shot all of your students and you don't really have a great sense of what they're gonna have access to and, um, and the abilities and connectivity they're gonna have. So this this kind of thing was really critical for us as we made that transition. >>Excellent. Mohammed, Were you working with you, NBC before the current move toe Go, go remote. Give us a little bit about the relationship and how that started. >>I believe, actually that the pandemic was the impetus to kind of drive this forward. Damien and his team reached out to loom in looking for a solution that would allow them to kind of have students access the applications that they normally would have access to in their physical computer labs. But with ah the change and not having to access those labs anymore needed a remote learning solution. A remote access solution for being able to access those high compute high graphics processing or memory intensive applications through the cloud. Taking into account the fact that you know, students won't have you know, that the highest end computer laptop, you know, they probably be working on a chromebook or a lower and machine, but need that compute power on. And then we had to kind of provide a solution pretty quickly because it was, you know, schools were shutting down, essentially physically started shutting down and needing to continue on with their coursework. Coursework? >>Yeah, Dave and I like to understand from your side. Can you share with us a little bit that time frames, you know, how fast did you go from? Oh, my gosh, We need this. We need proposals. We need to roll this out, and we need to have students. Ah, in teachers back up and running. >>Well, you know, I think the one thing from our side we had already known of element and we've been looking at that pre cove it. We knew we needed a product that that provided us this kind of agility and really gave the students some better access to the computing tools that they need it. So once we identify that, the thing that was amazing to me is is we moved from our existing system over to production illumination. It was about 2.5 weeks sort of start to finish and, you know, to get all the images to get all the technology running tested and everything up and running in 2.5 weeks for a full solution for a campus is was pretty amazing. And that was one of the real benefits we saw was going to the cloud. We also looked at this outside of code as something that really provided a major benefit to the students so that they could work from anywhere at any time rather than be sort of tethered to that physical lab. >>Well, I'm glad you raised that. So if you could Damien a little bit, you know, help us understand. How much are you using A cloud before? And it sounds like you believe that, you know, in the you know, I guess if we say postcode world, you would probably have some hybrid model. Would that be fair to say, >>Yeah, I think before we did have a different solution that was still cloud based. It was part of our business continuity. So we still had some semblance of virtual computing solution in the cloud. But it wasn't that extensive. And a lot of our individual programs chemical engineering, geography and others were using physical labs that the students would sort of scheduled times and be able to work in as part of their coursework. Uh, coming out of this, we fully expect if, if we're going on extended period of time where students are able to access these materials and these demanding software packages at any time from any kind of device coming out of cove it they're not gonna want to go back to that model where they're asking, you know, they have to get permission and go in and limited hours into a physical lab and sit there. This is going to be the expectation going forward is that they have this kind of access and this kind of flexibility from now. >>Yeah, this is I mean, they've gotten a taste essentially, and so, you know, they they see how easy it is to complete their coursework without actually having to trek across campus into a lab and kind of fight with the population to find a seat. This basically will become an expectation of an offering. >>Mohammed, what I'd love if you could drill in a little bit for us there, Architecturally speaking, of course, the cloud is built to be able to scale and move fast. So if you need capacity and need to scale up fast, that's great if in the future you still want to leverage the solution. But you can scale down, that should be possible. So maybe give us a little bit of you know how aws arc. It actually supports what you're doing and, you know, just from a pricing solution standpoint, how you'll be able to support the customer in today's environment. And however that path goes down the road, you'll be able to support that, >>right? I mean, so, you know, with the AWS cloud, we're able to, as you said, scale up or down as demand is needed. But we we've taken that even a little bit further where we're scaling based off of, um, students scheduling. So if we've got, of course, that we know that is running from 10 AM to 11 AM Your prior to that core starting will scale the environment up so that it's available for those students. If it's not, you know, more of, ah, in course, lab session, um, and then spin things back down after the course is done so that we don't have that those many, many machines sitting there running and burning the hours and running up the bill. You know, physical environment. You know, once you've installed it, it's there. It's always running. You cannot do that. But with the power of the cloud, we're able to go up and down. We're able to take things. Uh, you know, scale things down off hours. If we look at the patterns for a student usage, you know, off hours overnight take things down because you don't need those machines sitting there running, running all the time. >>And this is one of the biggest differentiators so many times in higher ed. We struggle to have to explain to companies and vendors and providers what our needs are and how we're very. We're very different from corporations and other other verticals with the bloomin solution and the capabilities in AWS. But we're really having this Taylor to our students schedules to the class schedules, and that kind of flexibility makes the product economically viable for us. But it also means that we don't get nearly the kind of push back from the academic side because it is really Taylor to meet their needs versus just something we're kind of shoehorning in. So that makes a huge difference in terms of adoption and the way it's perceived from a marketing, marketing and acceptance standpoint. Yeah, >>Dave and I'm curious. Once you did that initial rollout, how much of an on ramp is there for both the education, the educators side as well as student side? And you talked about having some flexibility as to how and when students use thing. That sounds great, but do you have to change, you know, office hours or the hours that the staff are leveraging that I'm just trying to understand the you know, the ripple effect of what you're doing? >>No, it's It's a fair point. We have done fairly extensive training. The students picked it up very quickly. What we with students? If there is a tool that they can use to do their work more effectively. They're going to use it, whether it's something we provide or something they find through other means. But what we've done is is reached out to all of our faculty that were training, that we're teaching in our physical labs and try to work with them to understand what the solution is, how they can sort of rethink some of their classes. And a couple of our departments have actually taking a approach of rather than said everybody in a virtual lab the same way they would sit people in a physical lab. They're moving some of this team or a synchronous so that the students can serve, work at their own pace and rethink how they structure some of those classes because of the flexibility being provided. But it does take a lot of training from the instructional side and some rethinking off this. But it the end solution is something that reaches the students where they are and the way they want to learn, which is a really powerful thing. We're always trying to do >>excellent, Mohammed. I'm wondering just broadly learnings that you have from what what's been happening Obviously, I'm sure you've been quite busy and responding to things. You know, what's been the impact on your business, how as a ws been as a partner to support the needs of what you're doing. >>Well, as you can imagine, the other things that just really blown up, Um, in terms of demand and being able to again through the plant power of the cloud, just being able to scale up and rapid deployment, you know, as we talk about earlier this deployment was, you know, 2 2.5 weeks from start to finish. Being able to do that, being able to do that with AWS tools have been, um, critical and moving things forward. >>Excellent. Uh, Damien, it's a sit back to you on this. You know, obviously, if you had had, you know, more time be able to plan this out if there might be some things that you would do differently. But what have your learnings been with this? And if you've been talking to your peers, any advice that you would give, uh, you know, as you've moved through this this rapid acceleration of the move to remote >>you Certainly. I think we would have certainly done some things differently. But we have been talking about this move for three or four months ahead of Covitz. So for us it wasn't. It wasn't quite as rushed as the actual deployment wound up being. I think the big thing is having having a vendor and having a partner where you can understand all the options. So the good and bad of the cloud is there's 100 different ways to do almost anything you want to accomplish and taking the time to understand what the different features and the ramifications of how you how you deploy and how you think. Think through that for us. We deployed one way because we could do it very quickly. And then we took the rest of the semester and part of this summer to do some more thorough evaluations to really ask our constituents you like this method or do you like some of the other, possibly some of the other possibilities and see which user experience they liked more? And then we're able to work with illumination, and they've been ableto very nimble in adjusting the services to meet what we've gotten our feedback on. So I think if I had to do it again, I would have done that testing ahead of time. But that's a very minor thing. These air really sort of small tweaks to just make life a little easier. Not fundamental differences in the what we're providing. >>Yeah, I'm Damien. What? One last question if I could, um sorry. Sorry, Mohammed. Just I'm curious from the financial standpoint, you know how much you felt that you understood what costs would be in some of the levers as to what are you using in the impact there? We've seen, you know, great maturation over the last handful of years. As toe. Yeah, you know, transparency and understanding how cloud actually is build. But I'm just curious if you have any final comments on the financial piece things, seeing that, it probably wasn't something that was in your budget for the last quarter. Yeah, >>it wasn't. That's very true. But we also knew that it was essential so that what we realized was we didn't know how often a lot of our physical labs and these classes were being used. So we knew there was going to be some unknowns. We've moved to this would have to see what adoption was but be able to get the reporting out and working with Mohammed and others to really start customizing in the cloud. That's the beauty of it is we recognize we saw some really fascinating patterns where during the week people would use this sort of as you'd expect. But on the weekends it was in the evenings. Nobody, nobody is logging on Saturday or Sunday morning. But boy at eight PM there's a good bit of usage so we could tailor and do some of that off hours work and really slows things down. Having that visibility has made the economic piece much more viable and really being able to tweak the computing power with two different needs of the different classes. So it's actually been fairly easy to understand, but it was a ramp up where we have to sort of guess at first and then understand our own processes. But that's more sort of the If you don't have good data coming in, it's hard to get it. Get it out. Excellent. Mohammad, I >>want you to kind of give your lessons learned. Obviously, it's a technology space. You've been in. Ah, and it's just been an acceleration of some of the things you're working on. So lessons learned advice you would give Teoh, you know, other companies of the universities and education No facilities out there, >>Right? And, you know, this is again speaking to the power of the cloud, right? Some of that one of the biggest lessons learned here is you don't necessarily need to get it right the first time. It's name and saying was saying, You know, we went back kind of analyze what we were staying in after the initial deployment, took a look at the actual usage and kind of adjusted, based based off of that. According to that, taking and feedback from faculty members on how they were using a system in tweaking the presentation or tweaking applications on the back end for accommodating those needs. That's the power of the cloud being able to adjust on the fly. You're not. You don't have to be committed to every single bit there. Uh, and being able to change it on the fly is is just something that is kind of natural in the cloud these days. >>Excellent. Well, thank you both. So much for joining us, Damien. Thank you for joining and moving forward. Sharing your story. I wish you the best of luck going forward. And Mohammed Big. Congratulations on winning. You know, super important category. Especially here in 20. Funny congratulations to you and the team. >>Thank you. >>Yeah, Thank you. Alright, stay tuned for more coverage here from the AWS public sector is their partner awards program. I'm Stew men a man And thank you for watching the Cube. 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.