hybrid work is the new reality according to the most recent survey data from enterprise technology research cios expect that 65 of their employees will work either as fully remote or in a hybrid model splitting time between remote and in office remote of course can be anywhere it could be home it could be at the beach overseas literally anywhere there's internet so it's no surprise that these same technology executives cite security as their number one priority well ahead of other critical technology initiatives including collaboration software cloud computing and analytics which round out the top four in the etr survey now as we've reported securing endpoints was important prior to the pandemic but the explosion in the past two plus years of remote work and corollary device usage has made the problem even more acute and let's face it managing sprawling i.t assets has always been a pain patch management for example has been a nagging concern for practitioners and with ransomware attacks on the rise it's critical that security teams harden it assets throughout their life cycle staying current and constantly staying on top of vulnerabilities within the threat surface welcome to this special program on the cube enable and secure the everywhere workplace brought to you by ivanti in this program we highlight key partnerships between avanti and its ecosystem to address critical problems faced by technology and security teams in our first segment we explore a collaboration between avanti and sentinel one where the two companies are teaming to simplify patch management my name is dave vellante and i'll be your host today and with me are nayaki nayar who's the president and chief product officer at avanti and nick warner president and security of the security group at sentinel one welcome naki and nick and hackie good to have you back in the cube great to see you guys thank you thank you dave uh really good to be back on cube uh i'm a veteran of cube so thank you for having us and um look forward to a great discussion today yeah you better thanks okay hey good nick nick good to have you on as well what do we need to know about this partnership please so uh if you look at uh we are super excited about this partnership nick thank you for joining us on this session today um when you look at ivanti ivanti has been a leader in two big segments uh we are a leader in unified endpoint management with the acquisition of mobileye now we have a holistic end-to-end management of all devices be it windows linux mac ios you name it right so we have that seamless single pane of glass to manage all devices but in addition to that we are also a leader in risk-based patch management um dave that's what we are very excited about this partnership with the with central one where now we can combine the strength we have in the risk-based patch management with central one's xdr platform and truly help address what i call the need of the hour with our customers for them to be able to detect uh vulnerabilities and being able to remediate them proactively remediate them right so that's what we are super excited about this partnership and nick would love to hand it over to you to talk about uh the partnership and the journey ahead of us thanks and you know from center one's perspective we see autonomous vulnerability assessment and remediation as really necessary given the evolution uh in the sophistication the volume and the ferocity of threats out there and what's really key is being able to remediate risks and machine speed and also identify vulnerability exposure in real time and you know if you look traditionally at uh vulnerability scanning and patch management they've really always been two separate things and when things are separate they take time between the two coordination communication what we're looking to do with our singularity xdr platform is holistically deliver one unified solution that can identify threats identify vulnerabilities and automatically and autonomously leverage patch management to much better protect our customers so maybe maybe that's why patch management is such a challenge for many organizations because as you described nick it's sort of a siloed from security and those worlds are coming together but maybe you guys could address the specific problems that you're trying to solve with this collaboration yeah so if you look at uh just in a holistic level uh dave today cyber crime is at catastrophic heights right and this is not just a cio or a cso issue this is a board issue every organization every enterprise is addressing this at the board level and when you double click on it one of the challenges that we have heard from our customers over and over again is the complexity and the manual processes that are in place for remediation or patching all their operating systems their applications their third party apps and that is where it's very very time consuming very complex very cumbersome and the question is how do we help them automate it right how do we help them remove those manual processes and autonomously intermediate right so which is where this partnership between ivanti and central one helps organizations to bring this autonomous nature to bring those proactive predictive capabilities to detect an issue prioritize that issue based on risk-based prioritization is what we call it and autonomously remediate that issue right so that's where uh this partnership really really uh helps our customers address the the top concerns they have in cyber crime or cyber security got it so prioritization automation nick maybe you could address what are the keys i mean you got to map vulnerabilities to software updates how do you make sure that your the patches there's not a big lag between your patch and and the known vulnerabilities and you've got this diverse set of you know i.t portfolio assets how do you manage all that it's a great question and i and i think really the number one uh issue around this topic is that security teams and it teams are facing a really daunting task of identifying all the time every day all the vulnerabilities in their ecosystem and the biggest problem with this is how do they get context and priority and i think what people have come to realize through the years of dealing with with patch management uh and vulnerability scanning is that patching without the context of what the possible impact or priority of that risk is really comes down to busy work and i think what's so important in a totally interconnected world with attacks happening at machine speed is being able to take that precious asset that we call time and make sure you properly prioritize that how we're doing it from sentinel one singularity xdr perspective is by leveraging autonomous threat information and being able to layer that against vulnerability information to properly view through that lens the highest priority threats and vulnerabilities that you need to patch and then using our single agent technology be able to autonomously remediate and patch those vulnerabilities whether or not it's on a mac a pc server a cloud workload and the beauty of our solution is it gives you proper clarity so you can see the impact of vulnerabilities each and every day in your environment and know that you're doing the right thing in the right order got it okay so the context gives you the risks profile allows you to prioritize and then of course you can you know remediate what else should we know about this this joint solution uh in terms of you know what it is how i engage any other detail on how it addresses the the problem specifically yeah so it's all about race against the time um uh dave when it's how we help our customers uh detect the vulnerability prioritize it and remediate it the attackers are able to weaponize those vulnerabilities and and have an attack right so it's really it's how we help our customers be a lot more proactive and predictive address those vulnerabilities versus um before the attackers really get access to it right so that's where our joint solution in fact i always say whatever edr with this edr or mdr or xdr the r portion of that r is very one he comes in our neurons for patch management or what we call neurons but risk based patch management combined with um central ones xdr is where we truly uh bring the combined solutions to to to life right so the r is where ivanti really plays a big part in uh in the joint solution yeah absolutely the response i mean people i think all agree you're going to get infiltrated that's how you respond to it you know the thing about this topic is when you make a business case a lot of times you'll go to the cfo and say hey if we don't do this we're going to be in big trouble and so it's this fear factor and i get that it's super important but but are there other measurements of success that that you you can share in other words how are customers going to determine the value of this joint solution so it's a mean time to repair let me go nick and then i'm sure you have your uh metrics and how you're measuring the success it's about how we can detect an issue and repair that issue it's reducing that mean time to repair as much as possible and making it as real-time as possible for our customers right that's where the true outcome through success and the metric that customers can track measure and continuously improve on nick you want to add to that for sure yeah you know you make some great great points niaki and what what i would add is um what sentinel one singularity platform is known for is automated and autonomous detection prevention and response and remediation across threats and if you look traditionally at patch management or vulnerability assessment they're typically deployed and run in point-of-time solutions what i mean by that is that they're scans and re-scans the way that advanced edr solutions and xdr solutions such as single one singularity platform work is we're constantly recording everything that's happening on all of your systems in real time and so what we do is literally eliminate the window of opportunity between a patch being uh needed a vulnerability being discovered and you knowing that you have that need for that vulnerability to be patched in your environment you don't have to wait for that 12 or 24-hour window to scan for vulnerabilities you will immediately know it in your network you'll also know the security implications of that vulnerability so you know when and how to prioritize and then furthermore you can take autonomous hatching measures against that so at the end of the day the name of the game in security is time and it's about reducing that window of opportunity for the adversaries for the threat actors and this is a epic leap forward in in doing that for our customers and that capability nick is a function of your powerful agent or is it architecture where's that come from that's a great question it's it's a combination of a couple of things the first is our agent technology which performs constant monitoring on every system every behavior every process running on all your systems live and in real time so this is not a batch process that that kicks up once a day this is always running in the background so the moment a new application is installed the moment a new application version is deployed we know about it we record it instantaneously so if you think about that and layer against getting best in class vulnerability information from a partner like avanti and then also being able to deploy patch management against that you can start to see how you're applying that in real time in your environment and the last thing i i'd like to add is because we're watching everything and then layering it against thread intel and context using our proprietary machine learning technology that that idea of being able to prioritize and escalate is critical because if you talk to security providers there's a couple different uh challenges that they're facing and i would say the top two are alert fatigue and then also human human power limitations and so no security team has enough people on their team and no security teams have an absence of alerts and so the fact that we can prioritize alerts surface the ones that are the most important give context to that and also save them precious hours of their personnel's time by being able to do this autonomously and automatically we're really killing two birds with one stone that's great there's the business case right there you just laid out some other things that we can measure right it all comes back to the data doesn't it we got to go but i'll give you the last word yeah i mean we are super excited about this partnership uh like nick said uh we believe in how we can help our customers discover all the assets we have they have um manage those assets but a big chunk of it is how we help them secure it right secure uh their devices the applications the data that's on those devices the end points and being able to provide an experience a service experience at the end of the day so that end users don't have to worry about securing you don't have to think about security it should be embedded it should be autonomous and it should be contactually personalized right so uh that's the journey we are on and uh thank you nick for this great partnership and look forward to a great journey ahead of us thank you yeah thanks to both of you nick appreciate it okay keep it right there after this quick break we're gonna be back to look at how ivanti is working with other partners to simplify and harden the anywhere workplace you're watching the cube your leader in enterprise and emerging tech coverage [Music] you

>> Announcer: From around the globe, it's theCUBE. With digital coverage of AWS reInvent Executive Summit 2020, sponsored by Accenture and AWS. >> Hello and welcome back to theCUBE's coverage of AWS reInvent 2020. This is special programming for the Accenture Executive Summit where all the thought leaders are going to extract the signal from those share with you their perspective of this year's reInvent conference as it respects the customers' digital transformation. Brian Bohan is the director and head of Accenture, AWS Business Group at Amazon web services. Brian, great to see you. And Chris Wegmann is the Accenture Amazon Business Group technology lead at Accenture. Guys this is about technology vision this conversation. Chris, I want to start with you because you're Andy Jackson's keynote. You heard about the strategy of digital transformation, how you got to lean into it. You got to have the guts to go for it and you got to decompose. He went everywhere.(chuckles) So what did you hear? What was striking about the keynote? Because he covered a lot of topics. >> Yeah. It was epic as always from Andy. Lot of topics, a lot to cover in the three hours. There was a couple of things that stood out for me. First of all, hybrid. The concept, the new concept of hybrid and how Andy talked about it, bringing the compute and the power to all parts of an enterprise, whether it be at the edge or are in the big public cloud, whether it be in an Outpost or wherever it'd be, right with containerization now. Being able to do Amazon containerization in my data center and that's awesome. I think that's going to make a big difference. All that being underneath the Amazon console and billing and things like that, which is great. I'll also say the chips, right? I know computer is always something that we always kind of take for granted but I think again, this year, Amazon and Andy really focused on what they're doing with the chips and compute and the compute is still at the heart of everything in cloud. And that continued advancement is making an impact and will make and continue to make a big impact. >> Yeah, I would agree. I think one of the things that really... I mean the container thing was I think really kind of a nuance point. When you've got Deepak Singh on the opening day with Andy Jassy and he runs a container group over there. When we need a small little team, he's on the front stage. That really is the key to the hybrid. I think this showcases this new layer. We're taking advantage of the Graviton2 chips, which I thought was huge. Brian, this is really a key part of the platform change, not change, but the continuation of AWS. Higher level servers, >> Yep. building blocks that provide more capabilities, heavy lifting as they say but the new services that are coming on top really speaks to hybrid and speaks to the edge. >> It does. Yeah. I think like Andy talks about and we talked about we really want to provide choice to our customers, first and foremost. And you can see that in the array of services we have, we can see it in the the hybrid options that Chris talked about. Being able to run your containers through ECS or EKS anywhere. It just get to the customers choice. And one of the things that I'm excited about as you talk about going up the stack and on the edge are things, most certainly Outpost, right? So now Outpost was launched last year but then with the new form factors and then you look at services like Panorama, right? Being able to take computer vision and embed machine learning and computer vision, and do that as a managed capability at the edge for customers. And so we see this across a number of industries. And so what we're really thinking about is customers no longer have to make trade-offs and have to think about those choices, that they can really deploy natively in the cloud and then they can take those capabilities, train those models, and then deploy them where they need to whether that's on premises or at the edge, whether it be in a factory or retail environment. I think we're really well positioned when hopefully next year we start seeing the travel industry rebound and the need more than ever really to kind of rethink about how we kind of monitor and make those environments safe. Having this kind of capability at the edge is really going to help our customers as we come out of this year and hopefully rebound next year. >> Chris, I want to go back to you for a second. It's hard to pick your favorite innovation from the keynote because, Brian, just reminded me of some things I forgot happened. It was like a buffet of innovation. Some keynotes have one or two, there was like 20. You got the industrial piece that was huge. Computer vision, machine learning, that's just a game changer. The connect thing came out of nowhere in my opinion. I mean, it's a call center technology so it's boring as hell, what are you going to do with that?(Brian and Chris chuckle) It turns out it's a game changer. It's not about the calls but the contact and that's distant intermediating in the stack as well. So again, a feature that looks old is actually new and relevant. What was your favorite innovation announcement? >> It's hard to say. I will say my personal favorite was the Mac OS. I think that is a phenomenal just addition, right? And the fact that AWS has worked with Apple to integrate the Nitro chip into the iMac and offer that out. A lot of people are doing development for IOS and that stuff and that's just been a huge benefit for the development teams. But I will say, I'll come back to Connect. You mentioned it but you're right. It's a boring area but it's an area that we've seen huge success with since Connect was launched and the additional features that Amazon continues to bring, obviously with the pandemic and now that customer engagement through the phone, through omni-channel has just been critical for companies, right? And to be able to have those agents at home, working from home versus being in the office, it was a huge advantage for several customers that are using Connect. We did some great stuff with some different customers but the continue technology like you said, the call translation and during a call to be able to pop up those keywords and have a supervisor listen is awesome. And some of that was already being done but we are stitching multiple services together. Now that's right out of the box. And that Google's location is only going to make that go faster and make us to be able to innovate faster for that piece of the business. >> It's interesting not to get all nerdy and business school like but you've got systems of records, systems of engagement. If you look at the call center and the Connect thing, what got my attention was not only the model of disintermediating that part of the engagement in the stack but what actually cloud does to something that's a feature or something that could be an element like say call center, the old days of calling the 800 number and getting some support. You got infra chip, you have machine learning, you actually have stuff in the in the stack that actually makes that different now. The thing that impressed me was Andy was saying, you could have machine learning detect pauses, voice inflections. So now you have technology making that more relevant and better and different. So a lot going on. This is just one example of many things that are happening from a disruption innovation standpoint. What do you guys think about that? Am I getting it right? Can you share other examples? >> I think you are right and I think what's implied there and what you're saying and even in the other Mac OS example is the ability... We're talking about features, right? Which by themselves you're saying, Oh, wow! What's so unique about that? But because it's on AWS and now because whether you're a developer working with Mac iOS and you have access to the 175 plus services that you can then weave into your new application. Talk about the Connect scenario. Now we're embedding that kind of inference and machine learning to do what you say, but then your data Lake is also most likely running in AWS, right? And then the other channels whether they be mobile channels or web channels or in-store physical channels, that data can be captured and that same machine learning could be applied there to get that full picture across the spectrum, right? So that's the power of bringing you together on AWS, the access to all those different capabilities and services and then also where the data is and pulling all that together for that end to end view. >> Can you guys give some examples of work you've done together? I know there's stuff we've reported on, in the last session we talked about some of the connect stuff but that kind of encapsulates where this is all going with respect to the tech. >> Yeah. I think one of them, it was called out on Doug's Partner Summit is a SAP Data Lake Accelerator, right? Almost every enterprise has SAP, right? And getting data out of SAP has always been a challenge, right? Whether it be through data warehouses and AWS, or sorry, SAP BW. What we've focused on is getting that data when you have SAP on AWS, getting that data into the Data Lake, right? Getting it into a model that you can pull the value out and the customers can pull the value out, use those AI models. So that's one thing we worked on in the last 12 months. Super excited about seeing great success with customers. A lot of customers had ideas. They want to do this, they had different models. What we've done is made it very simplified. Framework which allows customers to do it very quickly, get the data out there and start getting value out of it and iterating on that data. We saw customers are spending way too much time trying to stitch it all together and trying to get it to work technically. And we've now cut all of that out and they can immediately start getting down to the data and taking advantage of those different services that are out there by AWS. >> Brian, you want to weigh in as things you see as relevant builds that you guys done together that kind of tease out the future and connect the dots to what's coming? >> I'm going to use a customer example. We worked with, it just came out, with Unilever around their blue air, connected, smart air purifier. And what I think is interesting about that, I think it touches on some of the themes we're talking about as well as some of the themes we talked about in the last session, which is we started that program before the pandemic, but Unilever recognized that they needed to differentiate their product in the marketplace, move to more of a services oriented business which we're seeing as a trend. We enabled this capability. So now it's a smart air purifier that can be remote managed. And now when the pandemic hit, they are in a really good position, obviously, with a very relevant product and capability to be used. And so, that data then as we were talking about is going to reside on the cloud. And so the learning that can now happen about usage and about filter changes, et cetera can find its way back into future iterations of that picked out that product. And I think that's keeping with what Chris is talking about where we might be systems of record like in SAP, how do we bring those in and then start learning from that data so that we can get better on our future iterations? >> Hey, Chris, on the last segment we did on the business mission session, Andy Tay from your team talked about partnerships within a century and working with other folks. I want to take that now on the technical side because one of the things that we heard from Doug's keynote and during the partner day was integrations and data were two big themes. When you're in the cloud technically, the integrations are different. You're going to get unique things in the public cloud that you're just not going to get on-premise access to other cloud native technologies and companies. How do you see the partnering of Accenture with people within your ecosystem and how the data and the integration play together? What's your vision? >> Yeah. I think there's two parts of it. One there's from a commercial standpoint, right? Some marketplace, you heard Dave talk about that in the partner summit, right? That marketplace is now bringing together this ecosystem in a very easy way to consume by the customers and by the users and bringing multiple partners together. And we're working with our ecosystem to put more products out in the marketplace that are integrated together already. I think one from a technical perspective though. If you look at Salesforce, I talked a little earlier about Connect. Another good example technically underneath the covers, how we've integrated Connect and Salesforce, some of it being pre-built by AWS and Salesforce, other things that we've added on top of it, I think are good examples. And I think as these ecosystems these ISVs put their products out there and start exposing more and more APIs on the Amazon platform may opening it up, having those pre-built network connections there between the different VPCs of the different areas within within a customer's network and having them all opened up and connected and having all that networking done underneath the covers. It's one thing to call the APIs, it's one thing to have access to those and that's not a big focus of a lot of ISVs and customers who build those APIs and expose them but having that network infrastructure underneath and being able to stay within the cloud, within AWS to make those connections that pass that data. We always talk about scale, right? It's one thing if I just need to pass like a simple user ID back and forth, right? That's fine. We're not talking massive data sets, whether it be seismic data or whatever it be, passing those large data sets between customers across the Amazon network is going to open up the world. >> Yeah, I see huge possibilities there and love to keep on this story. I think it's going to be important and something to keep track of. I'm sure you guys will be on top of it. One of the things I want to dig into with you guys now is Andy had kind of this philosophical thing in his keynote talk about societal change and how tough the pandemic is. Everything's on full display and this kind of brings out kind of like where we are and the truth. If you look at the truth it's a virtual event. I mean, it's a website and you got some sessions out there, we're doing remote best we can and you've got software and you've got technology and the other concept of a mechanism, it's software, it does something It does a purpose. Accenture, you guys have a concept called Living Systems where growth strategy powered by technology. How do you take the concept of a living organism or a system and replace the mechanism staleness of computing and software? And this is kind of interesting because we're on the cusp of a major inflection point post COVID. I get the digital transformation being slow. That's yes, that's happening. There's other things going on in society. What do you guys think about this Living Systems concept? Yeah. I'll start. I think the living system concept, it started out very much thinking about how do you rapidly change your system, right? And because of cloud, because of DevOps, because of all these software technologies and processes that we've created, that's where it started making it much easier, make it a much faster being able to change rapidly. But you're right. I think if you now bring in more technologies, the AI technology, self-healing technologies. Again, you heard Andy in his keynote talk about the systems and services they're building to detect problems and resolve those problems, right? Obviously automation is a big part of that. Living Systems, being able to bring that all together and to be able to react in real time to either when a customer asks, either through the AI models that have been generated and turning those AI models around much faster and being able to get all the information that came in the last 20 minutes, right? Society is moving fast and changing fast and even in one part of the world, if something in 10 minutes can change. And being able to have systems to react to that, learn from that and be able to pass that on to the next country especially in this world of COVID and things changing very quickly and diagnosis and medical response all that so quickly to be able to react to that and have systems pass that information, learn from that information is going to be critical. >> That's awesome. Brian, one of the things that comes up every year is, oh, the cloud's scalable. This year I think we've talked on theCUBE before, years ago certainly with the Accenture and Amazon. I think it was like three or four years ago. Yeah. The clouds horizontally scalable but vertically specialized at the application layer. But if you look at the Data Lake stuff that you guys have been doing where you have machine learning, the data is horizontally scalable and then you got the specialization in the app changes the whole vertical thing. You don't need to have a whole vertical solution or do you? So, how has this year's cloud news impacted vertical industries? Because it used to be, oh, oil and gas, financial services. They've got a team for that. We got a stack for that. Not anymore. Is it going away? What's changing? >> Well. It's a really good question. I think what we're seeing, and I was just on a call this morning talking about banking and capital markets and I do think the challenges are still pretty sector specific. But what we do see is the kind of commonality when we start looking at the, and we talked about this, the industry solutions that we're building as a partnership, most of them follow the pattern of ingesting data, analyzing that data and then being able to provide insights and then actions, right? So if you think about creating that kind of common chassis of that in just the Data Lake and then the machine learning, and you talk about the nuances around SageMaker and being able to manage these models, what changes then really are the very specific industries' algorithms that you're writing, right, within that framework. And so, we're doing a lot and Connect is a good example of this too, where you look at it and yeah, customer service is a horizontal capability that we're building out, but then when you stamp it into insurance or retail banking, or utilities, there are nuances then that we then extend and build so that we meet the unique needs of those industries and that's usually around those models. >> Yeah. I think this year was the first reInvent that I saw real products coming out that actually solved that problem. I mean, it was there last year SageMaker was kind of moving up the stack, but now you have apps embedding machine learning directly in and users don't even know it's in there. I mean, cause this is kind of where it's going, right? I mean-- >> You saw that was in announcements, right? How many announcements where machine learning is just embedded in? I mean, CodeGuru, DevOps Guru, the Panorama we talked about, it's just there. >> Yeah. I mean having that knowledge about the linguistics and the metadata, knowing the business logic, those are important specific use cases for the vertical and you can get to it faster. Chris, how is this changing on the tech side, your perspective? >> Yeah. I keep coming back to AWS and cloud makes it easier, right? All this stuff can be done and some of it has been done, but what Amazon continues to do is make it easier to consume by the developer, by the customer and to actually embed it into applications much easier than it would be if I had to go set up the stack and build it all on them and embed it, right? So it's shortcoming that process and again, as these products continue to mature, right, and some of this stuff is embedded, it makes that process so much faster. It reduces the amount of work required by the developers the engineers to get there. So, I'm expecting you're going to see more of this, right. I think you're going to see more and more of these multi connected services by AWS, that has a lot of the AI ML pre-configured Data Lakes, all that kind of stuff embedded in those services. So you don't have to do it yourself and continue to go up the stack. And we always talk about Amazon's built for builders, right? But, builders have been super specialized and are becoming, as engineers were being asked to be bigger and bigger and to be be able to do more stuff and I think these kind of integrated services are going to help us do that >> And certainly needed more now when you have hybrid edge that they're going to be operating with microservices on a cloud model and with all those advantages that are going to come around the corner for being in the cloud. I mean, I think there's going to be a whole clarity around benefits in the cloud with all these capabilities and benefits. Cloud Guru I think it's my favorite this year because it just points to why that could happen. I mean that happens because of the cloud data.(laughs) If you're on-premise, you may not have a little Cloud Guru. you are going to get more data but they're all different. Edge certainly will come in too. Your vision on the edge, Chris, how you see that evolving for customers because that could be complex, new stuff. How is it going to get easier? >> Yeah. It's super complex now, right? I mean, you got to design for all the different edge 5G protocols are out there and solutions, right? Amazon's simplifying that. Again, I come back to simplification, right? I can build an app that works on any 5G network that's been integrated with AWS, right. I don't have to set up all the different layers to get back to my cloud or back to my my bigger data set. And that's kind of choking. I don't even know where to call the cloud anymore. I got big cloud which is a central and I go down then you've got a cloud at the edge. Right? So what do I call that? >> Brian: It's just really computing.(laughing) Exactly. So, again, I think is this next generation of technology with the edge comes right and we put more and more data at the edge. We're asking for more and more compute at the edge, right? Whether it be industrial or for personal use or consumer use, that processing is going to get more and more intense to be able to maintain under a single console, under a single platform and be able to move the code that I developed across that entire platform, whether I have to go all the way down to the very edge at the 5G level, right, or all the way back into the bigger cloud and how that processing in there, being able to do that seamlessly is going to allow the speed of development that's needed. >> Wow. You guys done a great job and no better time to be a techie or interested in technology or computer science or social science for that matter. This is a really perfect store. A lot of problems to solve, a lot of change happening, positive change opportunities, a lot of great stuff. Final question guys. Five years working together now on this partnership with AWS and Accenture. Congratulations, you guys are in pole position for the next wave coming. What's exciting you guys? Chris, what's on your mind? Brian, what's getting you guys pumped up? >> Well, again, I come back to Andy mentioned it in his keynote, right? We're seeing customers move now, right. Five years ago we knew customers were going to do this. We built a partnership to enable these enterprise customers to make that journey, right? But now, even more we're seeing them move at such great speed, right? Which is super excites me, right? Because I can see... Being in this for a long time now, I can see the value on the other end. We've been wanting to push our customers as fast as they can through the journey and now they're moving. Now they're getting the religion, they're getting there. They see they need to do it to change your business so that's what excites me. It just the excites me, it's just the speed at which we're going to to see the movement. >> Yeah. >> Yeah. I'd agree with that. I mean, I just think getting customers to the cloud is super important work and we're obviously doing that and helping accelerate that. It's what we've been talking about when we're there all the possibilities that become available, right? Through the common data capabilities, the access to the 175 somewhat AWS services. I also think and this is kind of permeated through this week at Re:invent is the opportunity, especially in those industries that do have an industrial aspect, a manufacturing aspect, or a really strong physical aspect of bringing together IT and operational technology and the business with all these capabilities and I think edge and pushing machine learning down to the edge and analytics at the edge is really going to help us do that. And so I'm super excited by all that possibility because I feel like we're just scratching the surface there. >> It's a great time to be building out. and this is the time for reconstruction, reinvention. Big theme, so many storylines in the keynote and the events . It's going to keep us busy here at SiliconANGLE on theCUBE for the next year. Gentlemen, thank you for coming on. I really appreciate it. Thanks. >> Thank you. All right. Great conversation. We're getting technical. We're going to go another 30 minutes A lot to talk about. A lot of storylines here at AWS Re:Invent 2020 at the Accenture Executive Summit. I'm John Furrier. Thanks for watching. (upbeat music)