>>Hello and welcome back to the live coverage of the Cube here. Live in Detroit, Michigan for Cub Con, our seventh year covering all seven years. The cube has been here. M John Fur, host of the Cube, co-founder of the Cube. I'm here with Lisa Mart, my co-host, and our new host, Savannah Peterson. Great to see you guys. We're wrapping up day one of three days of coverage, and our guest analyst is Sario Wall, who's the cube analyst who's gonna give us his report. He's been out all day, ear to the ground in the sessions, peeking in, sneaking in, crashing him, getting all the data. Great to see you, Sarvi. Lisa Savannah, let's wrap this puppy up. >>I am so excited to be here. My first coupon with the cube and being here with you and Lisa has just been a treat. I can't wait to hear what you have to say in on the report side. And I mean, I have just been reflecting, it was last year's coupon that brought me to you, so I feel so lucky. So much can change in a year, folks. You never know where you're be. Wherever you're sitting today, you could be living your dreams in just a few >>Months. Lisa, so much has changed. I mean, just look at the past this year. Events we're back in person. Yeah. Yep. This is a big team here. They're still wearing masks, although we can take 'em off with a cube. But mask requirement. Tech has changed. Conversations are upleveling, skill gaps still there. So much has changed. >>So much has changed. There's so much evolution and so much innovation that we've also seen. You know, we started out the keynote this morning, standing room. Only thousands of people are here. Even though there's a mass requirement, the community that is CNCF Co Con is stronger than I, stronger than I saw it last year. This is only my second co con. But the collaboration, what they've done, their devotion to the maintainers, their devotion to really finding mentors for mentees was really a strong message this morning. And we heard a >>Lot of that today. And it's going beyond Kubernetes, even though it's called co con. I also call it cloud native con, which I think we'll probably end up being the name because at the end of day, the cloud native scaling, you're starting to see the pressure points. You're start to see where things are breaking, where automation's coming in, breaking in a good way. And we're gonna break it all down Again. So much going on again, I've overs gonna be in charge. Digital is transformation. If you take it to its conclusion, then you will see that the developers are running the business. It isn't a department, it's not serving the business, it is the business. If that's the case, everything has to change. And we're, we're happy to have Sarib here with us Cube analysts on the badge. I saw that with the press pass. Well, >>Thank you. Thanks for getting me that badge. So I'm here with you guys and >>Well, you got a rapport. Let's get into it. You, I >>Know. Let's hear what you gotta say. I'm excited. >>Yeah. Went around, actually attend some sessions and, and with the analysts were sitting in, in the media slash press, and I spoke to some people at their booth and the, there are a few, few patterns, you know, which are, some are the exaggeration of existing patterns or some are kind of new patterns emerging. So things are getting complex in open source. The lawn more projects, right. They have, the CNCF has graduated some projects even after graduation, they're, they're exploring, right? Kubernetes is one of those projects which has graduated. And on that front, just a side note, the new projects where, which are entering the cncf, they're the, we, we gotta see that process and the three stages and all that stuff. I tweeted all day long, if you wanna know what it is, you can look at my tweets. But when I will look, actually write right on that actually after, after the show ends, what, what I saw there, these new projects need to be curated properly. >>I think they need to be weed. There's a lot of noise in these projects. There's a lot of overlap. So the, the work is cut out for CNCF folks, by the way. They're sort of managerial committee or whatever you call that. The, the people who are leading it, they're try, I think they're doing their best and they're doing a good job of that. And another thing actually, I really liked in the morning's keynote was that lot of women on the stage and minorities represented. I loved it, to be honest with you. So believe me, I'm a minority even though I'm Indian, but from India, I'm a minority. So people who have Punjab either know that I'm a minority, so I, I understand their pain and how hard it is to, to break through the ceiling and all that. So I love that part as well. Yeah, the >>Activity is clear. Yeah. From day one. It's in the, it's in the dna. I mean, they'll reject anything that the opposite >>Representation too. I mean, it's not just that everyone's invited, it's they're celebrated and that's a very big difference. Yeah. It's, you see conferences offer discounts for women for tickets or minorities, but you don't necessarily see them put them running where their mouth is actually recruit the right women to be on stage. Right. Something you know a little bit about John >>Diversity brings better outcomes, better product perspectives. The product is better with all the perspectives involved. Percent, it might go a little slower, maybe a little debates, but it's all good. I mean, it's, to me, the better product comes when everyone's in. >>I hope you didn't just imply that women would make society. So >>I think John men, like slower means a slower, >>More diversity, more debate, >>The worst. Bringing the diversity into picture >>Wine. That's, that's how good groups, which is, which is >>Great. I mean, yeah, yeah, >>Yeah, yeah. I, I take that mulligan back and say, hey, you knows >>That's >>Just, it's gonna go so much faster and better and cheaper, but that not diversity. Absolutely. >>Yes. Well, you make better products faster because you have a variety >>Of perspectives. The bigger the group, there's more debate. More debate is key. But the key to success is aligning and committing. Absolutely. Once you have that, and that's what open sources has been about for. Oh God, yeah. Generations >>Has been a huge theme in the >>Show generations. All right, so, so, >>So you have to add another, like another important, so observation if you will, is that the security is, is paramount right. Requirement, especially for open source. There was a stat which was presented in the morning that 60% of the projects in under CNCF have more vulnerabilities today than they had last year. So that was, That's shocking actually. It's a big jump. It's a big jump. Like big jump means jump, jump means like it can be from from 40 to 60 or or 50 or 60. But still that percentage is high. What, what that means is that lot more people are contributing. It's very sort of di carmic or ironic that we say like, Oh this project has 10,000 contributors. Is that a good thing? Right. We do. Do we know the quality of that, where they're coming from? Are there any back doors being, you know, open there? How stringent is the process of rolling those things, which are being checked in, into production? You know, who is doing that? I've >>Wondered about that. Yeah. The quantity, quality, efficacy game. Yes. And what a balance that must be for someone like CNCF putting in the structure to try and >>That's >>Hard. Curate and regulate and, and you know, provide some bumpers on the bowling lane, so to speak, of, of all of these projects. Yeah. >>Yeah. We thought if anybody thought that the innovation coming from, or the number of services coming from AWS or Google Cloud or likes of them is overwhelming, look at open source, it's even more >>Overwhelming. What's your take on the supply chain discussion? More code more happening. What are you hearing there? >>The supply chain from the software? Yeah. >>Supply chain software, supply chain security pays. Are people talking about that? What are you >>Seeing? Yeah, actually people are talking about that. The creation, the curation, not creation. Curation of suppliers of software I think is best done in the cloud. Marketplaces Ive call biased or what, you know, but curation of open source is hard. It's hard to know which project to pick. It's hard to know which project will pan out. Many of the good projects don't see the day light of the day, but some decent ones like it becomes >>A marketing problem. Exactly. The more you have out there. Exactly. The more you gotta get above the noise. Exactly. And the noise echo that. And you got, you got GitHub stars, you got contributors, you have vanity metrics now coming in to this that are influencing what's real. But sometimes the best project could have smaller groups. >>Yeah, exactly. And another controversial thing a little bit I will say that is that there's a economics of the practitioner, right? I usually talk about that and economics of the, the enterprise, right? So practitioners in our world, in software world especially right in systems world, practitioners are changing jobs every two to three years. And number of developers doubles every three years. That's the stat I've seen from Uncle Bob. He's authority on that software side of things. Wow. So that means there's a lot more new entrance that means a lot of churn. So who is watching out for the enterprise enterprises economics, You know, like are we creating stable enterprises? How stable are our operations? On a side note to that, most of us see the software as like one band, which is not true. When we talk about all these roles and personas, somebody's writing software for, for core layer, which is the infrastructure part. Somebody's writing business applications, somebody's writing, you know, systems of bracket, some somebody's writing systems of differentiation. We talk about those things. We need to distinguish between those and have principle based technology consumption, which I usually write about in our Oh, >>So bottom line in Europe about it, in your opinion. Yeah. What's the top story here at coupon? >>Top story is >>Headline. Yeah, >>The, the headline. Okay. The open source cannot be ignored. That's a headline. >>And what should people be paying attention to if there's a trend coming out? See any kind of trends coming out or any kind of signal, What, what do you see that people should pay attention to here? The put top >>Two, three things. The signal is that, that if you are a big shop, like you'd need to assess your like capacity to absorb open source. You need to be certain size to absorb the open source. If you are below that threshold, I mean we can talk about that at some other time. Like what is that threshold? I will suggest you to go with the managed services from somebody, whoever is providing those managed services around open source. So manage es, right? So from, take it from aws, Google Cloud or Azure or IBM or anybody, right? So use open source as managed offering rather than doing it yourself. Because doing it yourself is a lot more heavy lifting. >>I I, >>There's so many thoughts coming, right? >>Mind it's, >>So I gotta ask you, what's your rapport? You have some swag, What's the swag look >>Like to you? I do. Just as serious of a report as you do on the to floor, but I do, so you know, I come from a marketing background and as I, I know that Lisa does as well. And one of the things that I think about that we touched on in this is, is you know, canceling the noise or standing out from the noise and, and on a show floor, that's actually a huge challenge for these startups, especially when you're up against a rancher or companies or a Cisco with a very large budget. And let's say you've only got a couple grand for an activation here. Like most of my clients, that's how I ended up in the CU County ecosystem, was here with the A client before. So there actually was a booth over there and I, they didn't quite catch me enough, but they had noise canceling headphones. >>So if you just wanted to take a minute on the show floor and just not hear anything, which I thought was a little bit clever, but gonna take you through some of my favorite swag from today and to all the vendors, you know, this is why you should really put some thought into your swag. You never know when you're gonna end up on the cube. So since most swag is injection molded plastic that's gonna end up in the landfill, I really appreciate that garden has given all of us a potable plant. And even the packaging is plantable, which is very exciting. So most sustainable swag goes to garden. Well done >>Rep replicated, I believe is their name. They do a really good job every year. They had some very funny pins that say a word that, I'm not gonna say live on television, but they have created, they brought two things for us, yet it's replicated little etch sketch for your inner child, which is very nice. And given that we are in Detroit, we are in Motor City, we are in the home of Ford. We had Ford on the show. I love that they have done the custom K eight s key chains in the blue oval logo. Like >>Fords right behind us by the way, and are on you >>Interviewed, we had 'em on earlier GitLab taking it one level more personal and actually giving out digital portraits today. Nice. Cool. Which is quite fun. Get lap house multiple booths here. They actually IPOed while they were on the show floor at CubeCon 2021, which is fun to see that whole gang again. And then last but not least, really embracing the ship wheel logo of a Kubernetes is the robusta accrue that is giving out bucket hats. And if you check out my Twitter at sabba Savvy, you can see me holding the ship wheel that they're letting everyone pose with. So we are all in on Kubernetes. That cove gone 2022, that's for sure. Yeah. >>And this is something, day one guys, we've got three. >>I wanna get one of those >>Hats. We we need to, we need a group photo >>By the end of Friday we will have a beverage and hats on to sign off. That's, that's my word. If I can convince John, >>Don, what's your takeaway? You guys did a great kind of kickoff about last week or so about what you were excited about, what your thoughts were going to be. We're only on day one, There's been thousands of people here, we've had great conversations with contributors, the community. What's your take on day one? What's your, what's your tagline? >>Well, Savannah and I had at we up, we, we were talking about what we might see and I think we, we were right. I think we had it right. There's gonna be a lot more people than there were last year. Okay, check. That's definitely true. We're in >>Person, which >>Is refreshing. I was very surprised about the mask mandate that kind of caught me up guard. I was major. Yeah. Cause I've been comfortable without the mask. I'm not a mask person, but I had to wear it and I was like, ah, mask. But I understand I support that. But whatever. It's >>Corporate travel policy. So you know, that's what it is. >>And then, you know, they, I thought that they did an okay job with the gates, but they wasn't slow like last time. But on the content side, definitely Kubernetes security, top line headline, Kubernetes at scale security, that's, that's to me the bumper sticker top things to pay attention to the supply chain and the role of docker and the web assembly was a surprise. You're starting to see containers ecosystem coming back to, I won't say tension growth in the functionality of containers cuz they have to solve the security problem in the container images. Okay, you got scanning technology so it's a little bit in the weeds, but there's a huge movement going on to fix that problem to scale it so it's not a problem area contain. And then Dr sent a great job with productivity interviews. Scott Johnston over a hundred million in revenue so far. That's my number. They have not publicly said that. That's what I'm reporting from sources extremely well financially. And they, and they love their business model. They make productivity for developers. That's a scoop. That's new >>Information. That's a nice scoop we just dropped there on the co casually. >>You're watching that. Pay attention to that. But that, that's proof. But guess what, Red Hat's got developers too. Yes. Other people have to, So developers gonna go where it's the best. Yeah. Developers are voting with their code, they're voting with their feet. You will see the winners with the developers and that's what we've talked about. >>Well and the companies are catering to the developers. Savannah and I had a great conversation with Ford. Yeah. You saw, you showed their fantastic swag was an E for Ev right behind us. They were talking about the, all the cultural changes that they've really focused on to cater towards the developers. The developers becoming the influencers as you say. But to see a company that is as, as historied as Ford Motor Company and what they're doing to attract and retain developer talent was impressive. And honestly that surprised me. Yeah. >>And their head of deb relations has been working for, for, for 29 years. Which I mean first of all, most companies on the show floor haven't been around for 29 years. Right. But what I love is when you put community first, you get employees to stick around. And I think community is one of the biggest themes here at Cuco. >>Great. My, my favorite story that surprised me and was cool was the Red Hat Lockheed Martin interview where they had edge deployments with micro edge, >>Micro shift, >>Micro >>Shift, new projects under, there's, there are three new projects under, >>Under that was so, so cool because it was an edge story in deployment for the military where lives are on the line, they actually had it working. That is a real world example of Kubernetes and tech orchestrating to deploy the industrial edge. And I think that's proof in my mind that Kubernetes and this ecosystem is gonna move faster through this next wave of growth. Because once things start clicking, you get hybrid on premise to super cloud and edge. That was, that was my favorite cause it was real. That was real >>Story that it can make is literally life and death on the battlefield. Yeah, that was amazing. With what they're doing and what >>They're talking check out the Lockheed Martin Red Hat edge story on Silicon Angle and then a press release all pillar. >>Yeah. Another actually it's impressive, which we knew this which is happening, but I didn't know that it was happening at this scale is the finops. The finops is, I saw your is a discipline which most companies are adopting bigger companies, which are spending like hundreds of millions dollars in cloud average. Si a team size of finops for finops is seven people. And average number of tools is I think 3.5 or around 3.7 or something like that. Average number of tools they use to control the cost. So finops is a very generic term for years. It's not financial operations, it's the financial operations for the cloud cost, you know, containing the cloud costs. So that's a finops that is a very emerging sort of discipline >>To keep an eye on. And well, not only is that important, I talked to, well one of the principles over there, it's growing and they have real big players in that foundation. Their, their events are highly attended. It's super important. It's just, it's the cost side of cloud. And, and of course, you know, everyone wants to know what's going on. No one wants to leave there. Their Amazon on Yeah, you wanna leave the lights on the cloud, as we always say, you never know what the bill's gonna look like. >>The cloud is gonna reach $3 billion in next few years. So we might as well control the cost there. Yeah, >>It was, it was funny to get the reaction I found, I don't know if I was, how I react, I dunno how I felt. But we, we did introduce Super Cloud to a couple of guests and a, there were a couple reactions, a couple drawn. There was a couple, right. There was a couple, couple reactions. And what I love about the super cloud is that some people are like, oh, cringing. And some people are like, yeah, go. So it's a, it's a solid debate. It is solid. I saw more in the segments that I did with you together. People leaning in. Yeah. Super fun. We had a couple sum up, we had a couple, we had a couple cringes, I'll say their names, but I'll go back and make sure I, >>I think people >>Get 'em later. I think people, >>I think people cringe on the, on the term not on the idea. Yeah. You know, so the whole idea is that we are building top of the cloud >>And then so I mean you're gonna like this, I did successfully introduce here on the cube, a new term called architectural list. He did? That's right. Okay. And I wanna thank Charles Fitzgerald for that cuz he called super cloud architectural list. And that's exactly the point of super cloud. If you have a great coding environment, you shouldn't have to do an architecture to do. You should code and let the architecture of the Super cloud make it happen. And of course Brian Gracely, who will be on tomorrow at his cloud cast said Super Cloud enables super services. Super Cloud enables what Super services, super service. The microservices underneath the covers have to be different. High performing, automated. So again, the debate and Susan, the goal is to keep it open. And that's our, that's our goal. But we had a lot of fun with that. It was fun to poke the bear a little bit. So >>What is interesting to see just how people respond to it too, with you throwing it out there so consistently, >>You wanna poke the bear, get a conversation going, you know, let let it go. We'll see, it's been positive so far. >>There, there I had a discussion outside somebody who is from Ford but not attending this conference and they have been there for a while. I, I just some moment hit like me, like I said, people, okay, technologists are horizontal, the codes are horizontal. They will go from four to GM to Chrysler to Bank of America to, you know, GE whatever, you know, like cross vertical within vertical different vendors. So, but the culture of a company is local, right? Right. Ford has been building cars for forever. They sort of democratize it. They commercialize it, right? But they have some intense culture. It's hard to change those cultures. And how do we bring in the new thinking? What is, what approach that should be? Is it a sandbox approach for like putting new sensors on the car? They have to compete with te likes our Tesla, right? Yeah. But they cannot, if they are afraid of deluding their existing market or they're afraid of failure there, right? So it's very >>Tricky. Great stuff. Sorry. Great to have you on as our cube analyst breaking down the stories. We'll document that, that we'll roll out a post on it. Lisa Savannah, let's wrap up the show for day one. We got day two and three. We'll start with you. What's your summary? Quick bumper sticker. What's today's show all about? >>I'm a community first gal and this entire experience is about community and it's really nice to see the community come together, celebrate that, share ideas, and to have our community together on stage. >>Yeah. To me, to me it was all real. It's happening. Kubernetes cloud native at scale, it's happening, it's real. And we see proof points and we're gonna have faster time to value. It's gonna accelerate faster from here. >>The proof points, the impact is real. And we saw that in some amazing stories. And this is just a one of the cubes >>Coverage. Ib final word on this segment was well >>Said Lisa. Yeah, I, I think I, I would repeat what I said. I got eight, nine years back at a rack space conference. Open source is amazing for one biggest reason. It gives the ability to the developing nations to be at somewhat at par where the dev develop nations and, and those people to lift up their masses through the automation. Cuz when automation happens, the corruption goes down and the economy blossoms. And I think it's great and, and we need to do more in it, but we have to be careful about the supply chains around the software so that, so our systems are secure and they are robust. Yeah, >>That's it. Okay. To me for SAR B and my two great co-host, Lisa Martin, Savannah Peterson. I'm John Furry. You're watching the Cube Day one in, in the Books. We'll see you tomorrow, day two Cuban Cloud Native live in Detroit. Thanks for watching.

>> Narrator: Live, from Washington, D.C. It's theCube! Covering Boomi World 19. Brought to you by Boomi. >> Welcome back to the Cube's coverage of Boomi World 2019, from D.C. I'm Lisa Martin. John Furrier is my cohost, and we're pleased to be welcome a couple of guests from Accenture, Boomi partner. To my right, we've got Pete Yao, Global Managing Director of Integration, and Laetitia Cailleteau, Accenture's Global Lead for Conversational AI. Welcome, both of you. >> Thank you. It's great to be here. >> Thank you so much. So, big news. You can't go anywhere these days without talking about AI. I mean, there's even commercials on TV, that, you know, any generation knows something about AI. But, Laetitia, let's start with you. Some big news coming out this morning, with what Boomi and Accenture are doing for conversational AI. Give our audience, kind of an overview of what you guys announced this morning. >> So, thank you very much. So, conversational AI is booming in the market. It's at the top of the agenda for a number of our C-Suites. It's a new way to make system more human. So, instead of having to learn the system you can actually speak. Ask them direct question. Have a conversation. And actually, what we are doing, what we announced this morning, is Accenture and Boomi are going to partner together to deliver that kind of services for our client. Much faster. Cause we have the expertise and the know how, of designing those conversational experience, and Boomi, obviously, integrates really fast with Beacon system. And the two, together, can really be accelerating, you know, the value delivered to our client. >> And the technology piece, I just want to sure of something. Cause, you guys are providing a front end, so, real technology, with Boomi. So, it's a together story? >> Yeah, it's definitely a together story. And as you say, we are quite expert in designing those experience on the front end. And Boomi, obviously, kind of powers up the integration in the background. >> So, this is going to be enabler of, something you said a minute ago, is, instead of us humans having to learn the tech the tech's going to learn us. Is that fair to say? >> Very fair to say. That's exactly how we want to see it. And I think we call that trend, radically human systems. So, systems are going to become more radically human as we go on. And conversational AI is one enabler of that. >> Is it going to be empathetic? Like, when, you were saying this morning something I loved, on stage. We've all had these interactions with AI, with bots, whether we're on a dot com site, trying to fix something for our cable provider. Or we're calling into a call center. You're starting to get, your voice changes, your agent! And you want that. Is it going to be able to understand, oh, all right, this person, maybe we need to escalate this. There's anger coming through the voice. Is it going to be able to detect that? >> On voice, you can definitely start detecting tone much better than on text. Cause on texts it's very small snippets. And it's quite difficult to define somebody's mood by one small interaction. Typically, you need a number of interactions to kind of see the build up of the person's emotion. But, on voice, definitely. You know, your intonation definitely defines your state of communication. >> You can tell someone's happy, sad, and then use the text meta data to add to it. This is fascinating, cause we all see Apple with Siri front end. That's a different system. They have a back end to Apple. This is a similar thing. You guys have a solution at Accenture. Can you explain how people engage with Accenture? Cause, the Boomi story is a great announcement, congratulations on that. But still, you can deploy this technology to any back end. Is that right? >> Yeah, to any back end. We have a number of live deployment running at the moment. I think the key thing is, you know, especially in the call center. Call center is an area that has not been invested in for, like decades, yeah. And, very often, the scripts are very inward driven. So they would describe the company's processes rather than think about the end user. So, what we do in Accenture, is we try to reinvent the experience, be much more user driven. And then we have a low code, no code, kind of interface, to be able to craft some of those conversation on all the variation. But, more importantly, we actually store all those conversation and can learn. And so we have assisted learning module to make a natural language processor cleverer and cleverer. And as you were saying, before we started to be on air, the user is contributing training data. Yeah, I was just sharing one of recent stories, of an ISP that I was trying to interact with, and frustrated that I couldn't just solve this problem on my own. And then after I was doing some work for theCube, a few months ago I realized, oh, actually I have to be calm here. I have an opportunity, as does everybody, to help train the models. Because that's what they need, right? It takes a tremendous amount of training data before our voices can become like fingerprints. So, I think, if more of us just kind of flip that, maybe our tone will get better, and obviously the machines will detect that, right? >> Yeah, no definitely. I think they key with conversational AI is not to see it as just plain tech, but really an opportunity to be more human centered. And, you know, obviously knowing who peoples are and how they interact in different kind of problems and scenario is absolutely critical. >> Pete, I want to get your thoughts on digital transformation, because we've done, I've done thousands of interviews on theCube, and many, many shows. Digital transformation has been around for awhile It all stops in one area. Okay, process technology, great areas, we've got visibility on that. Automation's excellent for processes. Technology, a plethora of activity. The people equations always broken down. Culture, has stopped dev ops. Maybe not enough data scientists or linguistic engineers to do conversational AI. You guys fill that void. Great technology. The people equation changes when there's successes. It all comes down to integration. Because that's where, either I don't believe in it, I don't want to do it, the culture doesn't want it. Time to value. The integration piece is critical. Can you guys explain how the Boomi Accenture integration works? And what should enterprises take away from this? >> Well, yeah, one of the key things when we started our relationship with Boomi more than five years ago now, really, Boomi was the leader, kind of the ones who invented iPad, right, the integration platform as a service. So, in the small and medium business, a lot of those companies had already moved a lot of the critical apps to the cloud. But, in the enterprise we see that it's taken a lot longer, right, so, certain departments may move certain pieces, but it's still very much a hybrid, right, between a cloud and on-prem based. So, taking a platform like Boomi, and being able to use that with the atomsphere platform has really allowed us to move forward. We've done quite a bit of work in Europe. And, now, in the last year, we've been focusing on North America, along with Europe. So, really, the platform has allowed us to focus on the integration. >> It's interesting, you bring up, you guys have been at Accenture for a long time, you've seen the waves. Oh, big 18 month deployment, eight years. Sometimes years, going back to the 80s and 90s. But now, the large enterprise kind of looks like SMB's because the projects all look, they're different now. You could have a plethora of projects out there, hundreds of projects, not one monolith. So, this seems to be a trend. Do you guys see it that away? Do you agree? Could you, like, share some insight as to what's going on in these large companies. Is it still the same game of a lot of big projects? Or, are things being broken down into smaller chunks with cloud platform? Can you guys just share your insights on this? >> Do you want to take that one first? >> You can do first, yeah. >> Okay. So the days of the big bang, big transformation, multi year programs, we don't see very many of those. A lot of our clients have moved away, towards lean, agile delivery. So, it's really being able to deliver value in shorter periods of time. And in that sense, you do see these big companies acting more like SMBs. Cause you really have to deliver that value. And, with Boomi's platform it's not just the integration aspect, and though our relationship started there, it's with some of the other pieces of technology, like flow and low code or no code as well, which has allowed Boomi customers and our clients and our teams to be able to get those applications out to production much quicker. >> Lisa: A big enabler, sorry, of the citizen developer. >> Yeah, absolutely. >> John: Thoughts on this trend. >> Yeah, so I guess my thought I will come with the innovation angle. So, obviously, we are in a very turbulent time, where company, you know, like a number of the Fortune 500 of 20 years ago, they're not there any longer. And there's quite a heavy rotation on some of the big corporation. And, what's really important is to size the market, and innovate all the time. And I think that's one of the reason why we have much smaller project. Because if you want to innovate you need to go to market really fast, try things up, and pivot ideas really fast, to try to see if people like it and want it. And, I think, that's also one of the key driver of smaller, kind of projects, that would just go much faster to like... >> We had a guy on theCube say, data is the new software. Kind of provocative, bringing a provocative statement around data's now part of the programatic element. And integration speaks volumes. I want to get your reaction to the idea of glue layers. I mean, people kick that term around. That's a glue layer. Basically integration layer with data. Control plane. This isn't really a big part of the integration story for Boomi but for other customers. What's your guys thoughts on this data layer, glue layer, that software and data come together? You're showing it with the conversational AI. It's voice, in terms of software, connects to another system. There's glue. >> Yeah, so, that's a very interesting angle. Cause I think, you know, in the old integration world people would just build an interface, and then it would go live, and they wouldn't necessarily know exactly what's going on the bonnet. And I think, adding that insight, of what you flow, or how often they use, when they're kicked off, is something that becomes quite important when you have a lot of integration to manage. I would remember, I was working for a bank, a major bank in the UK, where we trying to make a mainframe system go real time. But we had all those batch schedule, kind of running, and nobody really knew when, what, and the dependency in between each other. So, I think it definitely helps a lot. You know, bubbling up that level of visibility you need to transform truly. >> Yeah, and you're seeing lot of companies now have Chief Data Officers. Right, but data really is important. And with big data data links, unstructured data, structured data, tradional RDMS databases, being able to access that information. Is it just read only? Is it read and write? You're really seeing, kind of, how all of it has to come together. >> So, if we look at the go-to-market for Boomi and Accenture. Pete, talk to us about how that go-to-market strategy has evolved during the partnership. And where you see it going with respect to emerging technologies like conversational AI. >> Oh, yeah, we've got great opportunities. So, we've started off, really just, hey, there was integration opportunity. Are we doing much work with Boomi and the enterprise. Five years ago, we hadn't. And we started doing more work, kind of in AsiaPac, and then in Europe. Three years ago we entered a formal relationship to accelerate the growth. It was accelerated growth platform which started at Amia. And this last year we formally signed one in North America as well. And in the last three years we've done four times the amount of work. The number of customers, we've got more than 40 joint customers together. The number of trained professionals within Accenture. We have more than 400 people certified, with more than 600 certifications. Some of them may be a developer as well as an architect. And so, a lot of that is really that awareness and the education, training and enablement, as well as some joint go-to-market activities. >> Any of those in a specific, I was reading some US cases in healthcare and utilities? >> Yeah, we're definitely, we've seen quite a bit in utilities and our energy practice. We've seen it in transportation. Because Accenture covers all the different industry groups we're really seeing it in all of them. >> You know, I'm fascinated by the announcement you guys had with Boomi. The big news. Conversational AI. Because it just makes so much sense. But I worry people will pigeon hole this into, you know, voice, like telephone call centers only. Cause the US cases you guys were showing on stage was essentially like, almost like a query engine, and using voices. Versus like an agent call center work flow, which is an actual work flow. Big market there, I have no doubt about it. But, there's other US cases. I mean, this is a big, wide topic. Can you just share the vision of conversational AI a little further? >> So, meaning, I think the capability we have is to kind of go on any channel. Voice is an interesting one, cause it's, I think, it's very common still, you know, to have a call center, when you dip into challenges. And this is kind of the most emerging and challenging from a technology perspective. So, that's the one that was showcased. But there's a number of chat channels that are also very important. On the web, or a synchronous channel, like Whatsapp and Facebook and all of that kind of thing. So, it's really kind of, really offering a broad choice to the end consumer. So they can pick and choose what they want at the moment they want. I think what we see in the market is a big shift from synchronous kind of interaction, like on the web. You go on the web, you chat with something, and you just need to be there to finish it. To actually text. Because you can just send a text, get a response, go to a meeting, and on the back of the meeting, when you have five minutes, you just kind of do the reply. And you actually solve your problem on your own terms. But really when you have the time. So, there is a lot coming there. And, you know, with Apple Business Chat, you know, there's a number of mechanisms that are coming up, and new channels. Before company tended to be, you know, we do digital, we do call center, and maybe we have chat, but actually all of that is broadening up. You know, people want multi channel experts. >> So, synchronous is key. Synchronous and synchronous communication. So, is there a tell sign for a client that says I'm ready for conversational AI? Would I have to have a certain data set? I mean, is it interface? What are some of the requirements, someone says, hey, I really want this. I want to do this. >> Yeah, so, the way we deal with all of that, very often, is if you have call center recording or chat recording, we have a set of routines that we pass through. So, we transcribe everything and we do what we'd call intend discovery. And from that we can know, you know, what are the most, kind of critical, kind of processes kicked off. And from that, we know if it's transactional, or if it's an interaction, or an attendant's emotionally loaded, like people not happy with their bill. And then we have different techniques to address all of those different, kind of processes, if you want, and transform them into new experiences. And we can very easily, kind of look at the potential value we can get out of it. So, for instance, with one of our client, we identify, you know, if you do that kind of transformation you can get 25 million off your call center. You know, like, which is very sizeable. And it's very precise cause it's data driven. So, it's based on kind of, real calls, recordings and data. >> Can't hide from data. I mean, it's either successful or not. You can't hide anymore. >> Yeah, and I think one of the extra value add is very often call center agent or chat agent, they're not really paid to classify properly, so they would just pick up the most easy one all time. So, they will misclassify some of those recordings. Choose what's easiest for them. But when you actually go into what was said it's a very different story. >> John: Well, great insight. >> So, AI becoming, not just IQ, but EQ, in the future? >> Yes, definitely. That's the whole idea. That why we need our users to emrace it. (laughing) >> Exactly. And turn those frustrating experiences into I have the opportunity to influence the model. >> Last question, Pete, for you. In terms of conversational AI, and the business opportunities that this partnership with Boomi is going to give to you guys, at Accenture. >> Oh, definitely looking forward to joint go-to-market, taking this globally. We were named, earlier this week, yesterday, the worldwide partner of the year. Second time that Accenture's been awarded that. Which we appreciate. And that we look forward to working with Boomi and taking conversational AI to our joint clients. >> Awesome. Laetitia, Pete, thank you so much for joining John and me. Really interesting conversation. Can't wait to see where it goes. >> Great. Thank you very much. >> Our pleasure. >> Great conversational. >> Very conversational. >> Got some AI here, come on. >> Next time we give you a bot to sit in our seat. (all laughing) >> Cube conversations. >> Exactly. For our guests, and for John Furrier, I'm Lisa Martin. You're watching theCube, from Boomi World 19. Thanks for watching. (upbeat music)