>>from around the globe. It's the cue with digital coverage of out systems. Next step 2020. Brought to you by Out systems. Welcome back. I'm stupid, man. This is the Cube at Out systems. Next step course. When we gather at the events, one of the big things to talk about is the community and out system show is no exception. Lots of developers, lots of community engagement. A Z they're building and sharing what they have. So to dig into that topic, happen it. Welcome to the program. 10 Lopez. She is the senior director of Community and Advocacy without systems. Again. Thank you so much for joining us. >>Hi. Thanks so much for having me. >>Well, Jen, you know they're there. So much discussion in the industry right now is like OK, what does that the current moment in time with the global pandemic mean for events? What does it mean for communities? The term I've heard used so much is, you know, how do we bring ourselves together even while we're apart? But if you could, you know, give us You know what does the community on help systems look like? You know, you've had this event before. If this was 2019 you know, what did the community activity in the community engagement looked like? >>Yeah, we're definitely in a different world right now, right? So in 2019 gathering the community together, you know, whether it was at at Max step or another in person events that we often had. Um you know that that is such a huge part of building community is getting people together and being able to have those conversations. And, um, sometimes it's just ah, whether it's meeting at, you know, you're getting some coffee and you meet someone. All of those in person things, um, are hard to do online. But we're really working hard this year at, you know, finding those ways to connect in a bunch of different ways with the community. Um, we have our regular technical talks and that sort of thing that we're doing. But we also have a chat where you can come in tow and chat with other community members. We're gonna have ah, 24. You know, we have this 24 hour zoom going on. So you could you know, we're fine trying to find his many ways as possible. Teoh sort of at least get those conversations and have the ability for the community to connect with each other. >>I'm wondering if you can, you know, people look at communities and especially in the developer community There's so many different pieces of that. Uh, when I talkto Gonzalo he was talking about how do we enable the next? You know, 10 million developers? When I talk to help communities, it looks like the app Dev is obviously a big piece of ah of what you're addressing. But you characterize if you could And if you have any staff but loved, understand, you know, the community, the growth of community. You know where the engagement activity is. >>Yeah, thanks. So the community growth of the out systems community has been phenomenal. Um, last year we saw are just for this year with on 90% growth since last year. Uh, we have 22,000 developers on a monthly basis who are actively doing things in the community. Um, that's anywhere from between building APS and asking questions in the forum and, um, using downloading forge components which are reusable APS attending user groups. There's all these things right. We have this activity level that we've seen that has just been through the roof. And, um, Cove in for the community has actually been, You know, we've seen a huge birth specifically march in April, we saw a great increase in new members coming on. And then what happened is our other members jumped in answering way more questions than we've ever had in the forums offering to help in different ways so that between the increase in gross, the growth and increasing activity, uh, the community itself has jumped in to really help out other people. >>Well, if you look at the development community and the tools they use and how they engage there, really, the work from home, you know, movement probably hit them a little bit less that than the average knowledge worker because they're used to being online there. Used to engaging in these environments. Often it is a distributed community, so it sounds like it makes sense. What what else? From a covert standpoint, You know, I've talked to some of the out systems customers and the ability it baked into the five former, something that they're take advantage of. Do you have any interesting stories around. You know how the community is rallying, you know, specifically with Kobe going on? >>Yeah. So, actually, that that Brown was a huge thing for us. We had at both internal and external. We were getting a lot of folks coming to us and saying, you know, everybody wanted to help, right? Especially in the beginning off when it kind of hit globally, everybody wanted to help. So what we did is we launched a program that we called the community the coveted 19 community response. Orban, um and we weren't quite sure exactly how people might react. But what ended up happening is we had thousands of people give ideas. And with those ideas, we had teams of people who were working on building these acts and actually launching the abs to help different communities all around the world with various issues. Whether it waas, you know, um, on an uber like up that was created to help people in a certain community, you know, find somebody who could go to the store for them. Um, there were, you know, these different acts were being created by the community. The ideas were coming from the community and people just really rallied around it because everybody wanted to help and they wanted to participate and be a part of something. And they were able to get these APS out in, you know, record time. Um, I would see other folks. Everyone was was trying to rely on technology at the time. And I would see other folks saying, Oh, you know, we had a team of five people spent 22 weeks building out. You know, our first M v p of this happened at out systems we were seeing people in, you know, two people in one week having, like, awfully blown, flushed out, being created. Um, So we were able to you not just help with the technology simply but help really quickly when it was needed right away. >>You know what? One of the themes I've been hearing a lot at the show is How do we close that? That Helen skill gap? Um, I have to imagine with your community engagements, the advocacy. You've got some visibility in tow. You know what things is out system engaged with when it comes toe educating the next generation, helping people take advantage of some of the new technologies adoption of the new AI features. It gives a little viewpoint as those changing dynamics in the community and specifically for developer. >>Yeah, I think it's it's really interesting. So, um, we have a number of programs with our between our education program and, um, low code schools and various programs where we're getting not just new developers coming in and burning out systems right away. But but actually getting developers who were coming from other programming languages who were ready to learn something new, who are like, Hey, I'm hearing a lot about, you know, uh, these these different ways to be innovative and I, you know, build an act quickly and it's still secure and stable and robust. And all of this. And so we have a lot of people on, you know, coming in in different ways. We're also really excited about a new partnership that we've just launched with women who code. We're you know, we're working really hard at going beyond just sort of those regular ways of people coming in. We want to help bring people from, you know normally, who may be underrepresented intact at the moment because we want to help bring that new generation in and that generations coming from all walks of life. And, um, you know, coming up with working on lots of different ways, Teoh, educate and and bring them in and keep them intact. >>Yeah. You know, Jen, such an important topic. I'm so glad that you brought it up, you know, diversity. Um, you know what? One of the things when when I think about we're lowering the bar. Ah, and you know what necessary skills? You have to get started to be a coder so often it's I have to have this degree. I need to understand these languages. So, you know, do do you feel this general movement is making it more accessible? Are we in a You know, what are we doing? What we doom or to be able to reach out, find some new pools of talent that can help us close this gap. And you know, then, as you said, keep them in tech. >>Yeah, and I think that will be key, is keeping them in tech. But, um, there are right now it's a It's a strange thing to say this is an opportunity, right? But with lots of people. Um, and specifically here in the US, where I am, Obviously we have a lot of folks who have lost jobs, right? People are looking for ways to get into something new. What's great about being able to learn? Ah, out systems is that that you're going to have a a different kind of job, right? You're going to have one of those jobs with an enterprise organization, um, or or or, you know, one of our partnerships. And it's going to level up your career and it totally differently. And there are, um, uh, lots of organizations right now who are also looking to find those those ways online there, like we have all these members in our community. But we're trying to get trained and Intertek and in different ways, and they're reaching out to us as well and saying, Hey, we're hearing a lot about you know, all of these innovative things out systems is doing. How do we work together? And so it's been really exciting to see that it's not just us going out and reaching out its people saying, Oh, I see these really cool things that you're doing and you know, we want to help get our members, um, learning and into this as well. >>All right, let's look a little forward. If we could, Jen, you know, tell us. You know what? What do you What do you see in the future? You know what feedback you're getting from community? What things should we be looking at? Going forward, >>Going forward. I think that, um, development is really going to be focused on on being able to be creative and innovative and finding new ways to do things. We don't have to do things the same old way anymore, right? We can, uh, build a robust application, uh, quickly and likely saw with co bid. Um, you know, we had big issues, and people were able Teoh, uh, figure out a way Thio Thio use technology to actually help fix these issues or solve a problem really quickly. And I see that very much that people it lights something in people's minds of Oh, being a developer doesn't have to just mean sitting and coding all day. It means, you know, doing really but robust things that I can do to help people and use technology in a totally different, innovative way >>Wonderful. Don't want to give you the final word when we talk about out systems bringing the community together. What do you want? People toe understand and connect with on this community? >>Thedc, um, unity itself is very generous and giving and one thing, but I have really, really loved about being a part of out systems is the community itself because they are working really hard to help bring new developers in help train them, give them mentor ship. So there's a There's a big feeling of, you know, it's not just every person out for themselves. They really want to help lift each other up. I think it's really important for, you know, feeding that technology, that new generation and that innovation that that is coming from it. All right, >>well, 10 Lopez thank you. So so much for helping us dig inside the community. Definitely looking at the engagement opportunities this week. And ah, thank you for all of the information that you share. >>Thanks, Dio appreciate it. >>Stay tuned for more cover jumps to minimum. And thank you for watching the Cube

>>from around the globe. It's the cue with digital coverage of out systems. Next Step 2020 brought to you by Out Systems. I am stupid, man. And this is the Cubes coverage of out systems. Next step 2020. And we've love when we get to be able to talk to the practitioners when we come to these events and happy to welcome to the program first time dress. Bruce Bottles. He is the digital channels director at Humana. Give a presentation this year. Also last year. The physical event. Bruce, thank you so much for joining us. Great having on the Cube >>A stew. Thanks so much for having me. It's pleasure to be here. >>All right. So Bruce Humana, a company that most people probably are familiar, you know, health care, of course, super important in general. And even more so in 2020. But if you could just set up for us a little bit, how should we think of Humana these days, your role inside the organisation on? Then we'll get into the discussion from there. >>Yeah, it's a great point, you know, because Humana is and has been going through a pretty significant transformation and one of the big reasons why I joined human about 2.5 years ago was this goal to go from Justin Insurance Company to really a full service healthcare company. So to now, now we're really bridging the gateway where we're almost half of our staff are caregivers are doctors and nurses and clinicians and the other half of us kind of run the business. Eso My role is digital channels, as you would expect, leading up efforts across humana dot com Our mobile APS go through 65 other fitness and, well, this APS as well as pharmacy business. So, uh, good question. >>Awesome. First, I tell you, one of the my favorite conversations over the last few years has been that discussion, you know, digital transformation. It was a buzzword. It gets a little bit overused. But from our standpoint, the companies that are doing it, you know, data is centrally important. We understand what we're doing. We're leveraging modern technologies and worms out there. Can you bring us back a little bit? You know, 2.5 years ago, I'm sure you're rapidly going through a whole bunch of changes, but you know what's the mandate? What are some of the key important pieces along that journey? >>Yeah, that's a great point, because I I do think digital transformation, unfortunately, is a little bit over used and, like most technology waves can be hyped. Um, you know, But the reality is for us, a Humana is that you are heart truly desires to reach our customers, and new and better ways is to meet their needs. Not only that, we know they have today, but the anticipation forecast what those needs are gonna be tomorrow and start building those solutions today for what we know they're gonna need in the near future. So what are the challenges that I saw when I came to the company a couple years ago Was just the quality in the speed and ability to react to new opportunities and unforeseen circumstances and challenges Is that ability to move fairly quickly. To me, that's one of the keys of digital transformation. Is that out? The speed and quality? >>Well, you know, Bruce absolutely. You know, in 2020 hit, the commentary we had is those those companies that have already gone down this journey, as you say, agility. Big able to react really fast, are happy that they done it in anybody that hadn't gone really started down or gone fast were like, Oh, my gosh, I need to get there fast because obviously, 2020 brought a lot of new challenges in place. I want to hold off one minute longer before talking about the specific 2020 challenges because you've got a great story there, but out system says you've been a partner with them. You spoke last year. Conference. What do you bring us back as to how they first got involved? And, you know, what was the plan? Uh, pre 2020? >>Yeah. So it's my journey has been interesting. I've been part of our systems for about six years now, actually. And ah, one of the reasons I came to Humana was the opportunity to introduce the company to a new way to this low code concept. Had used out systems to start a couple of companies prior to Humana and, ah, about 18 months ago, we actually signed the first contract at human of without systems. So you know what? We really are joined Now, is this new opportunity to move quickly to build things differently and to respond Those Like I said, those opportunities that were neighborhood didn't have before. So that's my journey without system that didn't start with Humana. But, ah, I have really enjoyed working with them over the last six years. >>Well, is, you said that ability react fast is something that's been the promise of, but forms clouds and the like wealth. 2020 20. You need to react fast. So, uh, enough set up, I guess. Why don't you tell us how cove in 19 the impact what you you and your team needed to do to kind of move fast and get toe what the internal as well as external customers we're going to need. >>Yeah, thanks for the intro up. You know it really? Let me take it back just a little bit to 2019. So in 2019 we realized that one of our top five interactions that our customers do is they come to our websites and are perhaps looking for a doctor. Uh, we're looking for a hospital or clinic or a pharmacy. And I, doctor, a dentist, etcetera. It's one of the top five interactions on our site. And what we realized is that it was a very disjointed experience. It had been grown up over years. Not uncommon to most. You have Fortune 50 companies. Ah, it was a silo. If you wanted to find a medical doctor, it was different than if you wanted to find a vision, doctor. And it was different if you wanted to find a pharmacy, etcetera s. So not only was it a different experience for customers, but there were different technical solutions. And the cost of maintaining this disparate solutions was really prohibitive to us. Innovating. So I set forth the strategy. Since I was the business owner of one of these, this capability of a dot finding a doctor. I said the roadmap and said we're going to unify them all. So that was our original challenges. To unify all of these fighters into a single provider finder. Well, that was going great. And write about the end of February. We had pharmacy Finder was the first one and then covert hit in March. And thank goodness it did, because hit then because we were ready to respond to one of the most important things our customers asked for And that is help me find a place to get a covert 19 test. We had a giant spreadsheet that the call center was trying to maintain and manage an answer those calls as they would come in and say, Hey, help me find a location to get a test. Well, if you know anything about covert testing, it changes constantly. The testing locations change constantly the type of test they have, the supplies that they have the hours of operations. So it was a daunting task, to say the least. So that's when I stood up and said, Hey, can we volunteer? Can we gather a bunch of volunteers to quickly build some solutions that will help not only the call center, but help our customers serve themselves? So that's really where this Cove in 19 test location came from. It was is out of the genesis of what we had started doing on the provider finder space. >>Yeah, I'm curious. Bruce, I know you gave a presentation here at the event, kind of walk through what you had, Bill. But if you were to look at it, how long did it take to build the covert test? finder, and you've got lots of experience without systems. If you had not already started on this back in 2019 if you had just said OK, I've got a spreadsheet I need to bring in a technology. If I started from scratch, how much longer do you think it would have taken for your team to be able to react? Oh, deploy this new solution. >>That's a great question. In one of the key victories I think we had is you, Honestly, the first challenge that he rented the spreadsheet. We solved that spreadsheet problem in a weekend. So I pulled together some volunteers. I was one of them, and we actually built the replacement for the spread she in a weekend, so that was pretty astounding. That s so the call center was grateful for that, and they quickly had a very unique solution there. But that was really just the touching point where we then took it to is building on top of this unified provider finder. We said, Well, you know, the covert night be testing locations are it s as just in assessments, just another type of provider. So with that perspective, we started building a full back office suite where we had a team of 30 to 40 analysts constant locally, looking across the United States, invalidating testing, location, information, hours of operation, calling them, making sure that they're accurate and then importing all the information into the centralized database that was out systems. Um, and then we quickly were able to build a customer experience where they could. Self search customers could go out there, do a search finding, assessing location themselves, I'd say time wide. We spent about a month building the back office and then deploying out the first version to our customers as well. Very, very rapid, very high quality. On what we've taken it further even since that first month, we're just now actually building it into and integrating it with, ah, health bought that we have developed in parallel separately. Um, but it's just illustrates the agility that we've had the flexibility to be able to take a solution that started out as hey, I want to find a doctor to quickly morphed to help me find a test location for Cove in 19. >>Yeah, it's amazing. Burst. I think back in my career, you know, very early in my career how long it would take to, you know, build the schema, build out a database and populate all the data on how many interference you need to do that to the websites to Now that that that modern app deployment 30 days, you know, that's phenomenal. From kind of full end to end. Obviously you still have some Resource is keeping things up to date. Did you have a rough swag? If you didn't hadn't already been using out systems, would this have been, you know, 23 months or is getting from from the ground up? How long does that take? >>Yeah, good question. You know, overall. Ah, eso Short answer is probably what it took us about four months using traditional methods eso instead of four months, about a month. And that's pretty consistent. What is what we have seen with all of the apse that we've built so far? Without systems, we're seeing about four times the value. I like to say four x value in that being, you know, a quarter of the cost a quarter of the time and we typically will over deliver on scope. It's not too often you can say that, you know, we made it, you know, on budget on time. But we over to alert scope. But but generally speaking, we're seeing about four x value. And I would just say coincidentally, when I was doing the startups I mentioned earlier, I would see up to 10 x value compared to traditional hand coating and large development teams in the start up environment. So smaller companies, I think, should expect to see even better than forex. >>Well, that's great. For since you have such a long history without systems, I'd love to get your take on some of the enhancements is you look at it. It's not just a platform, but they're helping give guidance to build faster. There's really, you know, ai being built in. You know, what have you seen over the years? What's exciting you these days? Anything else that you're kind of asking for, that maybe we should be looking for down on the road map. >>You know, that's one of the greatest things I really enjoy about the ancestors. Partnership is their level of investment in the platform, and they're like like I'm constantly trying to think forward in health care. What of our customers going to need tomorrow. Out Systems is doing the same saying, Hey, what is Bruce going to need to drive his digital business forward in the future? So two big things really come to mind. Number one is mobile. When Version 10 was launched, uh, I started on version nine when versus Ted would launch. It was it was lights out when it came to Mobile. It was an absolute game changer. For the first time, I didn't have to have a large IOS and Android team and a Web team and a back office team so typical I'd have four different teams when the specialties I didn't need that anymore. We could do full stack now with just about any of any developer, so that was huge. The second huge innovation is, I would say the AI you mentioned is that now that the new, um, developer productivity that you see embedded in the app suggestions the it's almost like the platform anticipates what developers need next in their daily tasks. Eso I know that's been a big help. Um, and I think the last thing that I'm looking forward to, that I know they're working on feverishly is really bringing it mawr to even a wider audience of citizen developers. So, designers, we've got a few use cases where our marketing team has worked with us in some of their marketers and designers that aren't developers at all sauce building things. And they said, Hey, you know, after the first couple of APS they designed with us, they said, I I think we can do this ourselves for some basic things. So they did. They started building some basic things. I'm really looking forward to that push out to or, you know, more business folks even further than what they had done before. >>Yeah, but persists. Such a good point. Something I've seen in the serverless community, really enabling, Aziz said. Back in the early days, it was programming you wrote lines of code coding was you pulled pieces. The discussion of low code is trying to make it even simpler and with more modern platform for more about on tools. As you said it tous ip eight things you don't need to You can even have that citizens developer, as you said, go out there. So, uh, first want to give you the final word just you know, Valuev. Seen you've been part of the out systems events in the past. What do you enjoy talking your peers about sharing your story? What? One of the things that you want to make Sure that people, if they're coming to virtual on, maybe it's their first time understand about shows like next step. >>Yeah, next step is just a fantastic event. It's like I always said it. I'm a calendar, never miss it. Disappointed, won't be ableto sit and have a meal with some of the folks in person, but we'll get through it next year. But no, I I'd say you know the sessions. Of course. You know my session. I was excited to share more detail. Ah, on how we went about creating this cove in 19 in this universal finder. So there's tons and tons and tons of sessions just like those great get great insights. Ah, and to make new contacts as well. So I would encourage folks to, you know, pick me up on Twitter, picked up on lengthen ah, and others and, you know, network, because when it comes down to it, we're all innovators, and we're all trying to solve the needs of the communities that we serve. And I believe we're better together. So thanks for having to have me >>Well, person, but we love being able to share those stories. Thank you so much for what you were able to do. Such a valuable, important thing that the community as a whole. And thank you for sharing your story on the Cube. >>Great. Thanks again for having me. Thanks to >>stay with us for watch more coverage from out systems. Next step is to Milliman, and thank you for watching the Cube.

>>from around the globe. It's the cue with digital coverage of out systems. Next step 2020 brought to you by Out systems. Welcome back. I'm stupid, man. In this, the cubes coverage of out systems next step always love when you get to come to the conference is to be able to talk to the practitioners, understand what they're doing. Give us some recommendations that they have for their peers. So happy to welcome to the program. First time guests make eye Spruce es, which is the global vice president of information technology at Colliers International coming to us from Vancouver because I thank you so much for joining us. >>Thank you for having me great to be here. >>All right, if you could just set up for us. First of all, uh, collars. If you know, how should people be thinking about all yours in 2020 and just a little bit briefly about you know, your role there. >>Okay. So, Colliers International, it's a leading commercial real estate for more in 69. 0, sorry. 68 countries. We have over 18,000 professionals around the globe. My role, it's who coordinated the information technology globally. We are very much distributor to decentralized organization. So we have technology groups all around the globe, and, ah, my role is pretty much toe set a direction. And to make sure that we were following on that direction appropriately, >>All right, so the theme we hear it the show, it's about building it. You hear from out system building fast, Build it right, build it for the future. Lots of discussion in the industry about how you need to modernize. And a lot of that is building new applications. So if you could, you know, how does that application portfolio modernization fit in your environment? What are some of the business things that are driving you to build new applications? >>Well, you know, thank you for asking me what of the things that are driving cause that that's one of the teams that I am. Keep bringing up that you have to start with. With that, you have to start with. Why? Why do you even build applications? So what's happening in my mind, or at least I can tell these days is that the environment of business environment, not necessarily the technology environment, but the business environment is changing and it's changing very fast, and we need to adapt to that. We need to adopt a new ways off, engaging with the clients, for example, or providing a service or who you know. Sometimes we just call it and say we digitize and and that's the whole, you know, digital transformation story that. But that's the reason why you need applications because applications are end of the day. What makes us more efficient in What are we doing? That's where the machine interacts with with humans right behind that you have the infrastructure and all that stuff that nobody sees. But what you see it is that application in your phone. It's application that makes you better make you more efficient on the time. That's why it's very important to be able to do it. And if you're just gonna buy everything, you're not gonna derive any competitive advantage out of it. You just gonna, you know, use what's available so more and more these days, we recognize that ability create something specific for the industry or for the organization is extremely important. So I think that's where the ability toe build this application fits for us as well >>All right. Well, you know, we've seen in general that that digitization is something that happened for a lot of years. I have to imagine 2020 has had some specific impacts. Ah, on the marketplace. You know, everybody that interested in real estate, there was probably a brief pause. But now things need to be more online. You mentioned mobile. Um, you know, I would think that being able to react fast is something that it has been driving your activity. Take us inside that. And, you know, how is 2020 impacted your activity specific? >>Well, uh, 2020 has really put Ah, you know, something which is always in my mind to the test and watch in my mind is, well, you know, the business agility that I'm talking about many times. And it's not necessarily that 2020 has forced tested. But in the first half of 2020 I don't think that the ability to create application was tested immediately. First off, all, it was tested. The ability to work in a different environment, work from home or work from somewhere else where you are not, you know, in ah exposed the Corbett 19. Um pandemic eso So that was the first part that was was tested. And, you know, I'm I'm extremely proud of our organization that for us, that was not too much off initial. I mean, our our system has has, uh, um, you know, help us do that. Transmission Very quick and very smooth as we are moving through 2020. Now it's not toe get ah, get our footing again. And you know, people are referring to this as but he would I want the new normal ease. And as we figured out what the new normally is, we start shifting again back to the application. So how are we going to do things in the new normal? What is becoming more important now that it was before, right? It's all of the sudden my ability toe capture, infrared term, our cameras has become a priority. And I'm not saying that the necessary has by just as an example thing that I haven't thought about necessarily before. Now I need to switch very fast in tow that my ability to track my ability toe, you know, Ah, let people in the office, you know, in a certain way, toe to figure out how many people are in the office. Was the density those things before Cove in There were kind of Well, that's very interesting. Yeah, we kind of have a lot off office. We can cram lots of people in their noticeable Ah, well, that's gone. So all of the sudden, those technologies that were called, you know, emerging are becoming very fast mainstream. So our ability to incorporate them it's critical. >>Wonderful, not another. We've laid out some of, ah, you know, the business drivers and some of the urgent needs. They have helped us connect the dots, your usage of out systems. Maybe if you could take us back how long you've been using it on and what that's enabled for your business, >>right? Ah, we They were doctored out systems about three years ago. And wait didn't necessarily take the the most successful pattern did the most successful Parton seems to be or taking a low code platform. All systems on this case and you start with something small and you grow from there. We actually had a mission critical system in our hands, which waas obsolete was the legacy was was a time bomb off technical debt, and we knew that we need to change this, but we didn't want to do it in a traditional way. We didn't want to create another monolithically application. Another stovepipe, um, so So? So that's when we look for something that we call the digital platform. Andi. That's how we got toe out systems. And we adopted it for that particular systems. Now the byproduct, of course we delivered on that, and it's fantastic and it's great, and we had lots of experience, and I can tell you what to do and what not to do under our duty parent, but, um, the by product off that is, that created what we were really after strategically created that capability to do things very fast, right? And it's not only your doing it fast, but your chances to do it passed and well has increased dramatically. You know, from the perspective that chances are that you're gonna be on brand, which it's a struggle, let me tell you that with the developers don't really care about the colors, Ana, and that it's you know it's following your security patterns and whatever it is in there. All this have have increased dramatically by putting, uh, putting it in this platform. >>So when you say, do it fast and do it well, did you have metrics internally as how you measure that? Is it you know, cycle time, time to market, you know, some, you know, percentage of quality of code. How do you kind of measure that it is demonstrably better today faster today? More agile today. Then what you were doing? Four. >>So, first off, all of those are KP eyes that a non technical organization probably has not have in the past. Okay, so that s so this is something that Microsoft will measure or Intuit will measure and stuff like that, which is just a background, because it's interesting. Now we start measuring, but for us, it's very simple. So how many new applications did we develop in the last? I don't know. 10 years. Um, zero way. We had a moment 10 years ago. We developed a lot of things and and and then we were kept going and going. And that's how they get legacy. How many did we developed in the last 18 months? Well, about 19 I think, keep growing, so I think we just start to learn what the KP I should be. I really I don't know any is 19. Good is it is too much. Maybe you should be. Should be only eight eso we learn on the escapee eyes one one KP Eido or one measurement is not the KP I cause I didn't really make it okay. Yeah, yeah, but it's a measurement. In the past, an application was build and then, you know, sporadically. There were efforts to bring it up to date and the business behavior Aziz relates toe that was very specific. They tried to cram everything during the project time because the chances that nothing will ever be reviewed in the next couple of years were close to zero. Well, let me tell you how the new application that we created the core one that mission critical. It's on a release cycle, a weekly release cycle. This is unheard for our organization. And I were gonna I gonna tell you that in my 25 years off managing applications and I d in various industries, non technical industry, that that that's that's critical. I will never achieved with anything that kind off pace. So do I have clear Kate guys to tell you this is way better? No, but I can tell you that there are a whole bunch of things that are emerging, and we will start measuring in in the future that are clear indication that we're in a better sport than we used to be. >>Well, well, well, right it is. It's the measurements that are important to your business That matters. Obviously clear. You've unlocked new capabilities that you didn't have before. It was zero applications on. Now, as you said, you know that why you're delivering value to the business. You understand what it takes to do that. And you know that that general discussion of like, well, everybody is becoming a software business? I think you've laid out some of that, at least in where you are. Right out. You know why that's important for your business. So you mentioned Ah, some things you've learned along the way. I'd love to hear you know, your journey of three years Looking back, certain best practices you've seen out there share a little bit of that wisdom that you've gained, You know? What would you recommend? Piers that are starting down this journey or maybe need to take a new look at how they look at their software development. What would you share with them? >>Yes. Ah, we learned quite a bit. Um, the fact that to get the tool in place, it's ah, it's it's it's really really not. Not enoughto see the benefit way grossly underestimated the resistance to change inside off. I t um so you know, if I would give somebody advice, I would say, Well, if you are, you know, in a typical North American organization where you know, people matters and what they think and what they do matters and you can't just be a, you know, some kind off. Ah, dictatorial. Ah, leader. Then then then you have to give yourself time because people need toe, understand the benefits or off the platform, the local It is not something that is necessarily yeah, immediately embraced by even the brightest devil locals. And unfortunately, we we've seen great people. Um, you know, leaving us eventually because they simply didn't give them by in the concept. So you know anybody who starts this journey, I would say, Do not underestimate the psychological change that needs to happen in order to become efficient at at this. Then it's another the interesting one. There are many, but, you know, the dough. So I think are interesting. You gonna be for the first time, probably way faster than the business respond. And this is something that again I haven't seen in the past in my career where you know you're developing things and you have a question. You come something and you ask the business. So how should this be? It's, you know, it's left or its right and the question is straightforward and the businesses scratching their head is like, Well, like, this is not a simple answer. I really I don't know. I need to think about it. And the business may think a couple of days, and in that time you are You're not putting if you don't plan properly. So So you are so fast that if you're not managing your pipeline and you are not accounting for the fact that the business won't be able to keep up with you and will need to have time to think about certain things, you're gonna have a whole bunch off, uh, off death times now you can fill them with all kinds of things. You can pay technical debt that you build in your previous are jive cycles. It's a whole bunch of things to do, but you need to account for that. And I said, I never seen it before and I always I was trying to catch up to the business. It was for the first time now they actually see this thing reversed and it's uncomfortable. It's It's I saw this becoming uncomfortable actually, for the business. It was perceived that only you are putting a lot of pressure on me right now. Well, yeah, but you know what? If you want me to be fast, we need to respond fast. It's kind of dynamic that is changing in a very interesting way. Eventually, I would say, and it doesn't take a long time, but eventually everybody is generally happier. I was just talking that of day with, uh, you know, our V p off, not American account. It was one of the stakeholders on this product and she said, Well, yeah, this is This is so much. Ah, better than anything we waded before from from an experience perspective, not necessarily from a you know, feature by feature, which is also extremely before rental, and much better, but yes, two things. Psychology off the developer and the velocity that the business can provide. When you're developing on this higher productivity platform, it's something you keep in mind. >>Well, maybe high it makes me It makes me laugh a little bit. I think back to in the early days of cloud computing rolling out there was that discussion that, you know, maybe I t won't matter anymore. It will just become a utility. And the discussion mostly iose that I talk to people in i t is that I t needs to be responsive to the business and actually can reach a point where it is a major driver for that. And so that agility, that speed that you talk about is helping Teoh, you know, really bring things together. Ah, and help. Have you know you need to have that common vision. Um great. What? Want to give you final word? You've worked without systems number year. We're watching them as they you know, Anting, their products Seymour machine learning and ai baked into it for those coming, you know, watching the next step show. You know what final words would you give them from from this event? >>Oh, I wasn't prepared for that. And I guess keep up, the good work would be done. The thing we we made a big bet on ah, on out systems. We want to see them growing. Want to see the community off, local developers growing. I want toe. And I don't know if I want to tell out system, but I want to tell the development community you still need to be a great developer to be able to deliver great applications in low court. It doesn't diminish anybody's value in the in the market is just a different way was gonna make the developer community more productive. We're automating our own tools. That's a normal way to go. And I think out system is doing a fantastic job. Ah, ah dot And I'm looking forward, though, to see growing. I think the next iteration I'm off this thing. I want to see a little bit more off the You know, in our case, I hope to see a little bit more off the citizen developer, uh, coming, coming out and and continue to enhance this. This Ah, Julia tedious. This flexibility, the ability to create and off the day. You know, it's all about competitive advantage for the organization we're in. It's you can part a phrase you and say I t really doesn't matter but creating value out of the technology. It's it's really what matters, and and that's everybody should get the ice on that. >>May I really appreciate you sharing your perspective? Thanks so much >>for joining us. Well, thank you for having me >>stay tuned for more coverage from out systems. Next, step on spew minimum and thank you for watching the Cube.

>> (narrator) From around the globe it's "theCUBE." With digital coverage of OutSystems-NextStep 2020. Brought to you by OutSystems. >> I'm Stu Miniman. And welcome back to thecubes coverage of OutSystems-NextStep. Of course, one of the items that we've been talking a lot in the industry is about how artificial intelligence machine learning are helping people as we go beyond what really human scale can do. And we need to be able to do things more machine scale to help us really dig into this topic. Happy to welcome to the program. First time, guest Antonio Alegria. He is the head of artificial intelligence at OutSystems. Antonio. Thanks so much for joining us. >> Thank you Stu. I'm really happy to be here and really talk a little bit about what we're doing at OutSystems to help our customers and how we're leveraging AI to get to those goals. >> ( Stu) Wonderful. So I saw ahead of the event, a short video that you did and talked about extreme agility with no limits. So, you know, before we dig into the product itself, maybe if you could just, you know, how should we be thinking about AI? You know, there's a broad spectrum, is that, you know, machine learning that there's various components in there, you listened to the big analyst firms, you know, the journey it's big steps and something that is pretty broad. So when we're talking about AI, you know, what does that mean to you? What does that mean to your customers? >> Yeah, so AI OutSystems really speaks to the vision and the core strategy we have for our product. Which is, you know, if you saw the keynote, you know, we talk about, you know, really enabling every company, even those that, you know, that had existed for decades, perhaps have a lot of legacy to become, you know, leading elite cloud software development companies. And really can develop digital solutions at scale really easily. But one thing we see, and then this is a big statistic. One of the things that limits CIO's the most, nowadays is really the lack of talent. Lack of, you know, engineering and software engineering, you know, ability and people that can do that. And there's a statistic that was reported by wall street journal. I saw it recently, perhaps last year. That said that according to federal jobs data in the U S, by the end of 2020 there would be about a million unfilled IET and software development jobs available, right. So there's this big problem. All of these companies really need to scale, really need to invest in digital systems. And so our belief at OutSystems, we've already been abstracting, and we've been focusing on automating as much as possible, the software development tools and applications that we use. We've already seen amazing stories of people coming from different backgrounds, really starting to develop really leading edge applications. And we want to take this to the next level. And we believe that artificial intelligence with machine learning, but also with other AI technologies that we're also taking advantage of can really help us get to a next stage of productivity. So from 10 X productivity to 100 X productivity. And we believe AI plays a role in three ways. We believe AI by learning from all of this data that we now collect in terms of, you know, the projects that are being developed. We are essentially trying to embed a tech lead, so to speak inside a product. And a tech lead that can help developers by guiding them, guiding the most junior ones, by automating some of the boring, repetitive tasks where by validating their work, making sure that they are using the best practices, making sure that it helps them as they scale to refactor their code to automatically design their architectures, things like that. >> (Stu) Wonderful . Antonio. Goncalo, stated it quite clearly in the interview that I had with him, it's really about enabling that next, you know, 10 million developers. We know that there is that skill gap, as you said, and you know, everybody right now, how can I do more? How can I react faster? So that's where, you know, the machine learning artificial intelligence should be able to help. So bring us inside. I know the platform itself has had, you know, guidance and the whole movement. You know, what we used to call low code. Was about simplifying things and allowing people to, you know, build faster. So bring us inside the product, you know, what are the enhancements? What are the new pieces? Some of the key items. >> Yeah. So one interesting thing, and I think one thing that I think OutSystems is really proud of being able to achieve is, if you look at how OutSystems has been using a AI within the platform. We started with introducing AI assistance within the, our software development environment, service studio, right? And so this capability we've been iterating it a lot. We've been evolving it, and now it's really able to accelerate significantly and guide novices, but also help pros dealing through the software development process and coding. By essentially.... and trying to infer and understanding their context and trying to infer their intent, and then automating the steps afterwards. And we do this by suggesting you the most likely, let's say function or code piece that you will need. But then at the next step, which we're introducing this year even better, which is we're trying to autofill most of the, let's say the variables and all of that, and the data flow that you need to collect. And so you get a very delightful, frictionless experience as you are coding. So you're closer to the business value even more than before. Now, this was just the first step. What you're seeing now and what we're announcing, and we're showing at this next step that we showed at the keynote, is that we are trying to fuse.... starting to fuse AI across the OutSystems products and across the software development life cycle. So we took this core technology that we use to guide developers and assist and automate their work. And we use the same capability to help developers, tech leads and architects to analyze the code. Learning from the bad patterns that exist learning from and receiving runtime information about crashes and performance. And inside the product that we call Architecture Dashboard. We're really able to give recommendations to these architects and tech leads, where should they evolve and improve their code. And we're using AI, refusing AI in this product in two very specific ways. Now that we are releasing today. Which is one, is to automatically collect and design and define the architecture. So we call this automated architecture discovery. So if you have a very large factory, you can imagine, you know, have lots of different modules, lots of different applications. And if you need to go and manually have to label everything. So this is a front end, this is a backend. That would take a lot of time. So we use machine learning. Learning from what architects have already done in the past and classifying their architecture. And we can map out your architecture completely, automatically, which is really powerful. Then we also use our AI engine to analyze your factory. And we can detect the best opportunities for refactoring. So refactoring is one of the top problems and the top smells and technical debt problems that large factories have, right? So we can completely identify and pinpoint what are these opportunities for refactoring and we guide you through it. We tell you, okay, all of these hundreds of functions and logic patterns that we see in your code, you could de-refactor this into a single function, and you can save a lots and lots of code. Because you know, the best code, the fastest code, the easiest to maintain is the code you don't write, you don't have. So we're trying to really eliminate crack from these factories, with these capabilities. >> (Stu) Well. >> It's fascinating. You're absolutely right. I'm, curious, you know, I think back to some of the earliest interactions I had with things, they'd give you guidance, you know, spellcheckers, grammar check. How much does the AI that you work on, does it learn what's specific for my organization and my preferences? Is there any community learning over time? Because there are industry best practices out there that are super valuable, but, you know, we saw in the SAS wave. When I can customize things myself, we learn over time. So how does that play into kind of today in the roadmap for AI that you're building? >> That's a great question. So our AI, let's say technology that we used, it actually uses two different, big kinds of AI. So we use machine learning definitely to learn from the community, what are the best practices and what are the most common patterns that people use. So we use that to guide developers, but also to validate and analyze their code. But then we also use automated reasoning. So this is more logic based, reasoning based AI. And we pair these two technologies to really create a system that is able to learn from data, but also be able to reason it at a higher order, about what are good practices and kind of reach conclusions from there and learn new things from there. Now we started by applying these technologies to more of the community data and kind of standard best practices, but our vision is to more and more start learning specifically, and allowing tech leads and architects even, in the future to tailor these engines of AI, perhaps to suggest these are the best practices for my factory. These patterns perhaps are good best practices in general. But in my factory, I do not want to use them because I have some specificities for compliance or something like that. And our vision is that, architects and tech leads can just provide just a few examples of what they like and what they don't like. And the engine just automatically learns and gets tailored to their own environment. >> (Stu) Oh, important that you're able to, you know, have the customers move things forward to the direction that makes sense on their end. I'm also curious, you talk about, you know, what partnerships OutSystems has out there, you know, being able to tie into things like what the public cloud is doing, lots of industry collaboration. So, you know, how does health systems fit into the kind of the broader AI ecosystem? >> Yeah. So one thing I did not mention, and to your point is, so we have kind of two complimentary visions and strategies for AI. So one of them is we really want to improve our own product, improve the automation in the product in the abstraction by using AI, together with great user experience and the best programming language for software automation. Right? So that's one, that's what we generally call AI assistant development and infusing AI across the software development life cycle. The other one is we also believe that, you know, true elite cloud software companies that create frictionless experiences, one of the things that they use to really be super competitive and create these frictionless experiences is that they can themselves use AI and machine learning. To automate processes, create really, really delightful experiences. So we're also investing and we've shown. And we're launching and announcing at NextStep. We've just shown this at the keynote. One tool that we call the machine learning builder, ML builder. So this essentially speaks to the fact that, you know, a lot of companies do not have access to data science talent. They really struggle to adopt machine learning. Like just one out of 10 companies are able to go and put AI in production. So we're essentially abstracting also that. We're also increasing the productivity for customers to implement AI and machine learning. We use partners behind the scenes and cloud providers for the core technology, with automated machine learning and all of that. But we abstract all of the experience. So developers can essentially just pick the data they have already inside the AI systems platform. And they want to just select. I want to train this machine learning model to predict this field, just click, click, click. And it runs dozens of experiments, selects the best algorithms transforms the data for you without you needing to have a lot of data science experience. And then you can just drag and drop into platform. Integrate in your application. And you're good to go. >> (Stu) Well. Sounds, you know, phenomenal. You mentioned data scientists. We talked about that the skill gap. Do you have any statistics, you know, is this helping people, you know, hire faster, lower the bar to entry for people to get on board, you know, increase productivity, what kind of hero numbers do your customers typically, you know, how do they measure success? >> Yeah. So we know that in, for machine learning adoption at companies, we know that, sorry, this is one of the top challenges that they have, right? So companies do not, it's not only that they do not have the expertise to implement machine learning in their products and their applications. They don't even have a good understanding of what are the use cases in order the technology opportunities for them to apply. Right? So this has been listed by lots of different surveys that this is the top problem. These are the two of the top problems that companies have to adopt AI's. Access to skill, data science skill, and understanding of the use case. And that's exactly what we're trying to kind of package up in a very easy to use product, where you can see the use cases you have available. You just select your data. You just click train, you do not need to know the nitty gritty details. And for us, a measure of success is that we've seen customers that are starting to experiment with ML builder. Is that in just a day or a few days, they can iterate over several machine learning models and put them in production. We have customers that have, you know, no machine learning models in production ever. And they just now have two. And they're starting to automate processes. They're starting to innovate with business. And that for us is we've seen as kind of the measure of success for businesses. Initially, what they want to do is they want to do POC's, and they want to experiment and they want to get to production, start getting to field for it and iterate. >> (Stu) From a product standpoint, is the AI just infused in, or there are additional licensing, you know, how do customers, you know, take advantage of it? What's the impact on that from the relationships without systems? >> Yeah. So for AI and machine learning that is fused into our product. And for automation, validation and guidance, there's, you know, no extra charges, just part of the product is what we believe is kind of a core building block in a core service for everything we do in our product. For machine learning services and components that customers can use to.... in their own applications. We allow you to integrate with cloud providers and the billing is done separately. And that's something that we're working towards and building great technical partnerships and exploring other avenues for deeper integration, so that developers and customers do not really have to worry about those things as well. >> (Stu) Yeah. Well, it's such a great way to really democratize the use of this technology platform that they're used to. They start doing it. What's general feedback from your customers? Do they just like, "Oh, it's there." "I started playing with it." "It's super easy, it makes it better." Are there any concerns or pushback? Have we gotten beyond that? What do you hear? Any good customer examples you can share as to general adoption? >> Yeah. So as I said, as we reduce the friction for adopting these technologies. We've seen one thing that's very interesting. So we have a few customers that are, for example, more in the logistics side of industry and vertical. And so they have a more conservative management, like they take time to adopt. They're more of a laggard in adopting these kinds of technologies. The business is more skeptical. Doesn't want to spend a lot of time playing around, right. And once they saw what they could do with a platform, they quickly did a proof of concept. They showed to the business and the business had lots of ideas. So they just started interacting a lot more with IT. Which is something we see with OutSystems platform, not just for AI machine learning, but generally in the digital transformation. Is when the IT can start really being very agile and iterating and innovating. And they start collaborating a lot with the business. And so what we see is, customers asking us for even more. So customers want more use cases to be supported like this. Customers also the ones that are more mature, that already have their centers of excellence, and they have their data scientists for example. They want to understand how they can also bring in perhaps, their use of very specialized tools. How can they integrate that into the platform so that, you know, for certain use cases, developers can very quickly train their own models, but so specialized data science teams can also bring in and developers can integrate their models easily and put them into production. Which is one of the big barriers. We see in a lot of companies, people working on year long projects, they develop the models, but they struggle to get them to production. And so we really want to focus on the whole end to end journey. Either you're building everything within the AI platform, or you're bringing it from a specialized pro tool. We want to make that whole journey frictionless and smooth. >> ( STU) Antonio, final question I have for you. Of course, this space we're seeing maturing, you know, rapid new technologies out there. Give us a little look forward. What should we be expecting to see from OutSystems or things even a little broader as you look at your partner ecosystem over kind of the next six, 12, 18 months? >> Yeah. So what... We're going to continue to see a trend, I think from the cloud service providers of democratization of the AI services. So this is during, just starting to advanced and accelerate. As these providers started packaging. It's like, what our system is also doing, starting to packaging some specific well-defined use cases. And then making the journey for training these models and deploying super simple. That's one thing that's continued to ramp up. And we're going to move from a AI services, more focused on cognitive pre-trained models, right. That, which is kind of the status quo. To custom AI models based on your data. That's kind of the trend we're going to start seeing in that, OutSystems also pushing forward. Generally from the AI and machine learning application and technology side of thing. I think one thing that we are leading on is that you know, machine learning and deep learning is definitely one of the big drivers for the innovation that we're seeing in AI. But you're start seeing more and more what is called hybrid AI. Which is taking machine learning and database artificial intelligence with more logic based automated reasoning techniques in pairing these two to really create systems that are able to operate at a really higher level. A higher cognitive level, which is what OutSystems is investing internally in terms of research and development. And with partnerships with institutions like Carnegie Mellon University, and such as that. >> (Stu) Wonderful. Antonio, who doesn't want, you know, a tech expert sitting next to them, helping get rid of some of the repetitive, boring things or challenges. Thank you so much for sharing the updates. >> (Antonio) Thank you Stu Congratulations on your progress And definitely look forward to hearing more in the future. >> (Antonio) Thank you Stu. Have a good day. >> (Stu) All right. >> Stay tuned for more from OutSystems NextStep. I'm Stu Miniman. And thank you for watching the "theCUBE."

>>from around the globe. It's the Cube with digital coverage of out systems. Next Step 2020 Brought to you by Out Systems Hi and welcome to the Cubes coverage of out systems. Next step. I'm your host stew Minimum and happy toe. Welcome back to the program. He's relatively fresh off the keynote stage. He's also a cube alum. Eso happy to welcome paella risotto. He's the founder and CEO of Out systems. Hello, Thanks so much for joining us. And thanks for having the queue. But your event >>now it's a pleasure to glad to be here. >>So you know your keynote. You know, one of the big themes we've been talking about for quite a while in the industry, of course, is the growth and importance of developers Onda, something that I heard loud and clear from what you and your team are talking about. It's really about helping companies, you know. It's move faster, it's be more agile, and it's really X. It's banding. Uh, you know, we need mawr developers. We need them to be ableto on ramp faster. Uh, on especially here in 2020. As I said, you and I spoke earlier this year at kind of the early stages of the global pandemic. Right now we know it's, you know, we can't have people slow down even when they can't go to the office, even though a lot of developers were dispersed as it is. So if you could see, you know, give us you know it did this your high level, you know, your customers, the developer community that that you're welcoming here to the show? >>No, Absolutely. I mean, we're really excited about this event is a This has gone way beyond our wildest expectations in terms of tendency and all of that. It's bean to an absolutely fantastic e mean what what we've seen. What we've seen is a growing demand from enterprises for solutions that are extremely differentiated. Um, you can actually get software. You can get digital systems out off out of the box, but there's a new increasing number of systems like portals and the work flows and applications that you actually have to infuse with your with your business process with your intellectual property with you as a business and therefore you have to build your own software. And so the the amount of software that's being built inside organizations is increasing its zits, increasing to a point where these these enterprises are facing all sorts of issues related to to to proliferation to skill. Set the fact that they cannot hire enough developers enough architect and offset cops people. I mean, the skill sets that just staggering and they heard, because they are they want to build this software, but they have a lot of difficulties in finding the tools and the skill sets. >>Yeah, it's great to come to an event like this and hear people. They're excited about building applications. They're they're they're getting into code. Um, it's been almost too easy this year, Palo to say, Uh, there's so many challenges, you know, at home everyone's fighting over bandwidth and space. Andi, there's those challenges. So, you know, we need to be able to see kind of that, that joy into what I can win. I can build things and get things done. So, you know, how are you seeing that? You know what? What feedback are you getting? Um and you know, as we said, 2020 we all know is a challenging year. >>Yeah, it's It's been a challenging gear. But it's also, you know, it's also been a near off year off opportunities. And we see that, uh, all over are we stall based on our prospect days and our partners and our community. And in general, these things events. Adult systems have a very different vibe from your typical corporate event, because one of one of the things that Z that's unique about our systems is everyone who comes to this event have built something unique. And so and it it zvehr e gratifying. When you're talking with customers and you're talking with developers, the one thing they want to talk about is how they fixed one particular, very unique problem that they face using our systems and the exchange these war stories, about how fast they were and how quickly they managed to overcome a particular challenge. Or, uh, when they got the change request from the business, that was, we need to do this in in two hours or 24 hours, whatever horrible timeline that they get and they were able to do it. It's these stories that get exchange around the next step floor in this event, and this one has been going on exactly as we've seen. The other ones which were physical events in the past. >>S O Paulo. On the keynote stage, you talked about the fact that you've now got over 1400 customers. You've got 300 partners. Uh, you're not just some, you know, New startup out system's been around for two decades. Now, talk a little bit about, you know, your growth. Some of the innovations that air that air driving customers in increasing, you know where they're coming houses. >>No, absolutely. I mean, the major major innovations that we have been doing is we we we we have been focused a lot on addressing the need for speed. I mean, the cycles of innovation have been compressing in the past years, and every year there is Ah, there is a further compression of the cycle. And so business are coming back to developers are coming back to i. T. They are some of these business. Uh, some of these business folks departments are completely autonomous in terms of what? Of building some digital systems, and all of them have this need for speed for very high productivity. And so we've bean Ah, lot of our investment has bean first and foremost in, how can we make all these folks way more productive? And we've been doing a tremendous amount of research into the anatomy of building these these applications understanding what are the the typical, most common patterns abstracting them, making them really use using a lot of ai and machine learning to create, uh, to create a almost like a a artificial bots that can help developers move quicker and create serious applications with big architectures without making mistakes. But very, very quickly, Um, and therefore, uh, when When we we provide these things extreme speed, we make sure at the same time. And this is where a lot of our innovation also comes along is ah, is this notion of building these applications right? Which is you. You have to be fast, but not at the expense of lack of security, lack of scalability, lack of availability, non observe ability. You know all these things that are that you don't really pay attention when you just want to create a nap and put some functional requirements designed something into either a nap or workflow, whatever. But when you're scaling from 20 users toe one million users. You need to make sure that you can do that. When you're exposing a portal to the external world, you need to make sure that you're not going to be attacked by hackers. Are you going to have the now service attack or at your mobile application is completely shielded and secure and cannot be penetrated. All of these things are things that are all part that cannot be at the expense of speed. And so that's what we try to do. We try to bring together the speed increasing speed, but at same time building fast building it right and making sure that as you evolve that your application is evergreen doesn't create technical debt. So build it for the future. And we focus a lot on this reason. >>Yeah, definitely heard that team loud and clear. Looking forward to actually, I've got so g your head of products toe walk through. Some of the announcement also got your head of a I in that really fascinating stuff as, uh, you know, like emails. Do they kind of, you know, start making suggestions and, you know, it feels like the tech technology is getting better. It's not like it was a few years ago where it was like I just want to turn that off because the suggestions were slowing me down rather than speeding me up, but moved faster. Um, you know, you see what I want to get to You talked about that flexibility of change, Really. One of the big challenges you know right now is that there's always new technologies. There's new opportunity. I need to move fast. So how do I make sure that I could do something today and not be, you know, locked out of that next new thing thing or be able to make a change? So how do you make sure that you, you know, you've got an architect? We said that that's now been around for decades, but, you know, meeting the needs of developers helping to bring on new developers. Um, that you make sure that you can stay, you know, always modern, if you will. >>Now that's that's a That's a fantastic question. It's a really good point. I mean, one of the trade offs of, uh, one of the easy ways of building these these type of products or platforms is you actually your visual modeling your obstructions, Uh, the things that you build so that you increase productivity in a lot of, um in a lot of scenarios. The easiest path is towards linking whatever technology you're going toe power these applications to the way you build the modeling. Um, and one of the things that that out systems as as has always done we design our platform from day one with the perspective that we knew the underlying technology. Name it. Web stacks to kubernetes toe on premise. Virtual machines to containers serverless, uh, technologies, micro application servers. All of these things we knew they were going to dramatically change in the next years. And we've been proven right in the sense that not only take underneath technology or technology that that's used to build these applications have been changing, but they've been changing faster. And the turmoil of technologies that you can build applications is accelerating at creating a huge problem for enterprises that once a certain level of stability. But they don't also want to become whole old. And so the art systems platform allows you to build your applications at the layer where we adult systems we can replace the underlying technology without you having to rewrite the application and because of our technology, you can basically just republish or we upgrade our platforms and automatically your applications will run on the next best of breed technology that's now hot and that is providing you extra scalability, extra security, extra high availability. We take care of that and we show you how we do it because we were following those type of standards. But it's really around the architectures off of the product at the same time, Ato level of the development of the modeling and a lot of these things. We make sure that there is a certain level of stability and we keep on improving it so that we can bring developers into our community. And those sets are constantly relevant as they move from customer to customer as they move from simpler applications toe highly complex ones. All the investment that they've made on our systems gets rewarded in the next 2357 years. We have a community. We have members of argument that have been with us for more than 15 years and we want to keep it that way >>well, that That's impressive. I'm curious. You know, we've We've had this discussion, I guess. How many years ago was it that now that mark injuries and said that software is eating the world? Palo eso So many companies now you're talking about, you know, building software building that application needs to be a key thing. You know, the role of I t. Just servicing the business isn't enough. I t needs to be tightly. I'd with the business and that capability of building software, doing things fast and reacting eyes so important. So what does this kind of these waves coming together? I mean, for out systems the growth of the company. And, you know, I would have to expect that some of your your newer customers look a little bit different than the ones that have been with you for 15 years. >>You know what? It z actually interesting that the problem that we solving is is a very basic, very old problem. And so it's just that what what has changed in in the recent years is that before it was acceptable for a 19 person to go to the business and say this project is going to take three years or this new report that this change that you want to put in your application is going to take a six months or three months to go into production. And today that's an unacceptable answer. Um, and so today, with these type of platforms, like out systems, this provides it provides a tremendous, uh, pleasant life for the guys who are actually developing and delivering thes digital systems. These applications, because the relationship with the business is a much more constructive one. Instead of you saying no Oh, I want this. I want this new mobile app and, uh, and someone coming back to you. Okay, give me two million and give me 12 months or 14 months to build this this app. Now you can go back and say, OK, well, that that's going to take me one week and I have off a guy ready to build that for you. That first version and they can work together with you so that we get those requirements right, because we know that the model application is going to be it. The first version we're going to produce is not going to be the one that you want And so we want to reiterate that conversation is the holy Grail of what we always wanted in the relationship between 90 and the business and now way have it with without systems. And that's the That's the alert. Now, if you look into the tens of industries, this particular type of characteristic is this dynamic between business I t and building. These things exist in every industry, and that's why our target addressable market is so huge. And that's why we're growing so fast at this point, because it's a it's a capability that everyone wants and before it just looks magic now, before it was considered impossible. And that's why people didn't ask for >>it. Paolo talking about that, that growth in that potential? What's your commentary on? You know the skill gaps out there, You know, how do we onboard Mawr developers, You know what's what's the opportunity and the challenge that you see out there just really when you talk about the future of jobs in this space? >>Well, um, what what we've seen is that, for instance, we measured we're very scientific. Adult systems about looking had the anatomy of skills and the what are the skill sets needed to build what type of systems. And it's not all or nothing thing. A lot off. People try to sometimes simplify and say there is this notion of the professional developer on the business developer or or even the cities and developer, which is a term we don't really enjoy it out systems that much. Um, but it's this very binary separation, and what we've seen in reality is that there is, ah, continuum. A spectrum of skill sets that we can pile up. And we can create and develop tools and capabilities, for instance, in the out systems platform that allow us to take an increasingly larger number of backgrounds and people to build an increasingly larger number of more complex applications. And so it z kind of a moving target. But the potential is that the shortage of computer science grads that exist today in the world on its not Onley in the Western world is it's all over Asia Latin America places where you'd consider that you have enough talent to fulfill the demand. Demand is huge compared with that supply of developers and so being able to, for instance, happening on on the stem, Um, the science majors being able to tap on social grads like architectural, uh, architect's and normal civil architects and the, uh, social engineers and and and all of that, all of those profiles we have found that we can bring them into the out systems community, and then they have them complement the sum of their natural skills with some technical skills and being able to actually produce these systems. And so we by doing that, we multiplied by 10 the pool of available resources to our to our customers and to to the enterprises want to build software. But they're facing this issue of the skills shortened. >>Oh, Paula, we We've got a great lineup for our coverage with the Cube. I've got a couple of your customers. I mentioned some of the executives. I've got your head of developer and community on there, but want to give you the final word. You know, takeaways you want. You know that the the audience out there toe have to understand about out systems today in the strategy going forward. >>Well, I think what what I wanted to say is that we've we've proven that we've been around for some time. And the reason for this is because it takes a while to build a product that's truly comprehensive and powerful enough that you can build complex, serious applications very quickly, but that are also that do not, uh, that you don't have to be facing a wall of security, of scalability and all of that. So this is a platform that takes a long time to get right. It takes a lot of input from our from our install base. Takes a lot off. Ah, lot of learnings from all the, uh, hundreds of thousands of applications and projects we've seen. But today our customers can take that benefits and move forward very, very quickly. Andi, we're going to stay around for many years to come because it's such a pleasurable job to be able to help all of these enterprises become as innovative as they can and as fast as they can. So I'm really excited about being in this position as we have today. >>Well, Paulo, really pleasure for us toe Be part of this event. Thanks so much and definitely looking forward to talking to the rest of your your team's your customer in the ecosystem. >>Thank you too. >>Stay with us for more coverage. Jumps to minimum. And thanks. As always, for watching. Thank you.

>> Narrator: From around the globe it's theCube with digital coverage of OutSystems NextStep 2020. Brought to you by OutSystems. >> Hi, I'm Jen. I'm the Head of Community and Advocacy here at OutSystems. I'm really excited about NextStep especially for our development community. We have a ton of technical talks specifically to help you learn and grow in building OutSystems applications but we also have booths to learn more about the community, to get to know various training and what certifications you can get. There may even be some free stuff. There's also a booth specifically around career. If you're looking for a job, if you're an organization that's looking to hire someone. We have a lot of information and stuff going on there. You can chat with the teams in all of these places and we will also have an ongoing 24 hour Zoom with the community to come in and have those conversations. So, join us for tons of knowledge, technical talks, and also to get to know the community a little bit. We look forward to seeing you there. (calm background music)

>> From around the globe. It's "theCUBE" with digital coverage of OutSystems NexStep 2020 brought to you by OutSystems. >> Welcome back, I'm Stu Miniman and this is CUBE's coverage of OutSystems NextStep. Really excited to have "theCUBE" at this event. Lots of excitement in the Keynote and happy to bring back one of the Keynote speakers Goncalo Gaiolas. He is the vice president of product at OutSystems. Understand the team calls him GG, Goncalo, thanks so much for joining us and good to talk you. >> Good to talk to you too, still welcome. Again thank you for having me. >> Yeah, so we're glad to be here. One of the big themes of course we've heard of the show it's built it fast, build it right, build it for the future and a theme that you hit on, something we've been hearing for years and only more so, is building new applications that software development, we need to do it faster. I hear from Microsoft Satya Nadella talks about just the massive amount of new applications that will be out there, so it's one of those things, do we have enough people? Do we have the right skillset? So take us into that developing software first, what that really means and how you're helping your customers there. >> Of course, so absolutely. So when we talk to customers, I talk to customers all the time and when they speak to me, they're essentially telling me about their business problems. And today the ability to get custom, highly customized, specific applications that fit their business have great experiences and get go to market quickly is one of the top business issues that they have. Now we know that this has historically been something that companies have tried to do but now more than so with a fast pace of change and sort of response cycles that companies have to go through this has now become an imperative. We've actually built most of our platform to accelerate the entire cycle of application, not only development, but also deployment, delivery, all the pieces that can, where we can increase productivity. That's really what we've been doing for the past 20 years or so. And we believe that we can help customers with a bunch of things from getting access to more wide diverse talent pools, to deliver great experiences that are best in class and rival the consumer experiences that people are used to. And that helped them modernize their existing legacy systems, all of that with unbeatable speed. >> It's interesting. The discussion of modernization has been around for decades, but in the old world it was like, okay, I'm going to do some migration, it's going to take a couple of years and then when I get there just don't breathe on it 'cause we think we got it mostly where we need whereas today, I mean the conversation we have, what I want to hear you and your team talking about is we know that, you know what we stand up, there's constantly going to be change, it's not the monolist anymore. Maybe speak a little bit more to that. That it's not just modernizing, it's not a destination, but it's that ongoing journey that we need to continue to have. >> Absolutely, absolutely. So we spoke about speed. Speed is often thought of as how fast you get to market but we think of speed also on how do you keep that change going at the right pace so that you react quickly and you react without sacrificing important things like the scalability or the security or the performance of the things you're trying to do. So really think about it in three ways. The speed that we do, that we provide our customers for their initial deployments without ever sacrificing the building it right part. But then above all, building for change, building for the future, allowing customers to experience new technologies but to react very, very quickly. So we obsess over having giving customers the ability to really iterate on top of what they deliver because even with a great platform such as ours, you'll never get it right the first time around in the world as we know and this year was best prove ever. The world is always constantly changing around you. So it doesn't matter if you're the first to market, if you can't change and adapt that's, in due time competitors will catch up with you and you got to really build it for it to change, build it for the future. >> Yeah, you bring up a really great point there and you kind of hinted that your platform is going through a lot of changes. Help us, bring us inside a little bit. When you know, we're going to talk more, I know about the AIP some of the new enhancements there. OutSystems now almost 20 years old, you go back a decade ago, we weren't talking digital transformation, it was like a mobile enablement, some of those other pieces there. So it's very different challenges to get day, very different skillsets, generational changes going on. So help us understand a little bit the kind of the underpinnings the evolution of OutSystems to be able to still be competitive and quite relevant today. >> Excellent. That's a great questions too, and I mean we spent the last 20 years just completely obsessing this problem of how do we help customers go fast and change fast. And to do that, we had to tackle the entire life cycle of software. So in the past few years, we've actually focused very much on helping customers deliver best in class front-end experiences. How do you build the great user interface? How do you do that in the world? What is a low-code quote unquote "Environment"? How do you do that to compete with the best and class front-end developers? That's really where we've focused very much of our last few years. At the same time, the backend of that and how those things get delivered and how more mission-critical you can get, that's been quite an investment for us. So really investing in security and scalability of the generated apps on the ability to have multiple global deployments has been a great investment. We were big on clouds. Most of our customers run on our own clouds and we invest tremendously there to give them all the options that they need. So if you think about these two things, you get very much massive mission-critical enterprise applications built on top of our platform. And if I go back, you were talking about our 20 years. If I go back five or six years ago, I remember talking to customers and customers telling us, wake me up when you can build a mobile banking system or my customer portal and today that's every week, we're building things like that in our technology. So it's really a testament of the maturity of the platform and how customers have embraced it. I would say also Stu, just to compliment and to finalize the answer. I'd say, we see a lot of focus as well on making it more accessible to people from different backgrounds. Just in the next couple of years there are going to be the world's going to need 10 million more developers. We're not going to get to those 10 million more developers if we keep using the same methodologies we've used in the past. So we invest very much on things that accelerate transitions from people coming into the professional development cycle, obviously because our platform is visual and we invest very, very much on the user experience, the developer experience, we make it easy for people to be onboarded into the platform without really ever sacrificing the power of what they can deliver. So those are the things that we've really been focusing on for the past few years. >> Yeah, we've looked back the last 10 years, there's so much discussion about starting to take advantage of the cloud, companies that were born in the cloud starting off there, we know that we are just in the early days and what we hear customers they're accelerating even more, so there needs to be that wholesale change and therefore they need tools that can help them culturally and building those new pieces. So I guess it makes sense maybe, let's bring the same inside, the platform itself, you did a great job in the Keynote walking through so maybe we can encapsulate for our audience a bit, some of the key capabilities that you have inside the platform. >> Absolutely. So you should think of our platform as divided in three great pieces to three major components. First of all, there's the entire development capabilities or we call the our development studio. That's been something we've been developing for years and adding capabilities. It's a visual environment, where developers can assemble really quickly applications that they can consume services from their enterprise or from cloud services which to your point is something we see customers struggling with. How do I make sense of the 240 services available to me on the cloud? How do I connect these together so they make business sense to me? So that's one part, and that's really the part that is typically associated with Low-code. At the same time, we're also very much focused on this deployment and runtime capability because an app is not really so useful if you've just developed it. Now, the biggest or a big part of it is actually to get it in front of customers delivered with zero downtime with many, many cycles and many, many deployments per day. So we focused very much on the delivery pipeline, if you will and our own cloud. So we've invested, we have a great partnership with AWS, we run our cost on top of AWS. We've invested on abstracting all of the complexity that you need to run an enterprise grade mission-critical system on top of such a platform and that's really the second component is all of our runtime capabilities of all of our cloud and our deployment capabilities. And finally, I would be remissive. I wouldn't talk about our entire community and our forge. Our forge is of repository in our marketplace or of applications and components. We have a very active developer community it actually grew more than 90% last year and they contribute to law to disforge. So think of the forge as a capability that allows unlimited extension of the platform powered by a very, very active community. So it's that full stack development environment that has not only our surface studio, but also our builders I forgot to mention our great builders that accelerates typical use cases like building workflows or building prototyping applications we've seen that in the keynotes. Also our cloud and our deployment capabilities very much focused that would be the second part, very much focused on that building, it writes in that mission-critical deployment. And finally our community, our ecosystem of partners and our forge that really extend the platform to do many, many different use cases that are valuable for our customers. >> I'm looking forward. I know we have Jen Lopez coming on "theCUBE" to talk more about the community. One of the things >> Excellent that we would love to see at shows like this and that builder message of course resonates quite well with the AWS Community since that was one of their big ad campaigns for a couple of years. Maybe if you could, it often helps to illustrate if you've got a customer example that speed of response. 2020 is at no shortage of companies having to move fast in directions that weren't necessarily what they were planning to at the beginning of the year. >> Absolutely, absolutely. So we've had many examples, one that we addressed in the Keynote stem cell technologies is that we're really able to respond super quickly to the COVID challenge by deploying a series of applications that serve many, many different stakeholders, and that speed was off of the essence. We've also had a campaign, some of you might've seen around LU Crowe, LU Crowe is a financial services provider in the United States. And LU Crowe has been able to respond to government stimulus packages and capabilities by creating applications specifically target for this use case, this is a highly optimized for the workflow that they were going after. So great example as well. And we've had customers all around the world, but only building their now mission-critical new completely new applications to get people back to work safely in multiple different workflows, from field services to people going to the office, but also customers have seen more ramp in their own businesses and really took those digital channels to the next level. We see telcos, large telcos using our systems to deploy new digital systems that are now very, very important because people more they have an extra incentive to use digital channels if you will. So it's been quite intensive to see all of these customers respond and react to their own specific needs in the middle of everything that's going on. That's good, I think quite good. >> Yeah, one of the trends that we've been seeing in the last couple of years is the pulling together of developers not just being, a group off on the side that you threw something over the wall to, but there was not just the DevOps Movement, but a lot of the tooling now is helping to give visibility to multiple groups. When I talked to some of your customers, when I look at the servers community, oftentime it's not a hardcore developer but that citizen developer that's getting involved or sometimes even somebody from marketing that can leverage some of those tools. Can you talk a little bit about how your platform is maybe now hitting different skills and different people inside organizations as we see this trend progress? >> Absolutely, absolutely. So we have a, I think we have a quite unique take on the entire approach to what's normally called the citizen developer. So the first thing I would tell too, is that we think we obsess over productivity of these teams. And like to your point, the composition of these teams, how they're put together is radically changing, you don't have the business team and the IT team and the operations team, everything is being managed and fusing together. So we think very much about how do we optimize for that entire life cycle and for the entire collaboration set of collaboration activities and workflows for those teams. In the keynote, you've seen it talk about the thing we called the experience builder. The experience builder is a great tool for business users, business stakeholders, and professional developers to collaborate on assembling in a very visual, very fast way, what a beautiful mobile application would look like. So we think that is the future, is to design specific capabilities that allow for these interactions for these jobs to be done, to happen in the natural context of the collaboration. We don't think, we think the citizen Developer Movement is an offshoot of not actually addressing the root cause of giving developers and IT teams the capabilities to interact, collaborate, and respond fast enough. Now at the same time, we're very much fans of a diverse set of people or backgrounds coming into the professional developer community. We have examples all around the world with people with chemical engineering backgrounds, history majors that have transitioned through training and through usage of the product that transitioned to full time developer careers. And we don't think of those as citizen developers. We just think of those as the new developers coming into the workplace, enabled by platforms and tools such as ours. That really democratized the ability for people to make application creation their own trade, their own job. So that's a very, very exciting trend. >> Well, and what I hear you saying reminds me of the conversations we've been having in general about automation, AI, and even robots worthed, today there's a lot of software robots out there. So just as most people are familiar now, if you go into email and it starts trying to complete your sentences for you or give you responses, I heard you talking your AI capabilities are starting to help along that way and therefore that could open up the window for a broader class of people to be able to lower that bar to entry to become a full developer. Is that where you see it going? I'd love to hear just a little bit more directionally the AI piece today for the next year and how comfortable are your customers with that as to partnering with the software? >> Absolutely, that's a great, great question. And we think of AI. So it's two layers actually. One is what would happen if you had a colleague that would be sitting next to you? There will be a phenomenal technical lead, somebody that would guide, automate and validate all the work that you've done, and to really remove anything that's completely boring and repetitive out of your way. That's really how we think about AI. We started this journey about two years ago if I will, about three years ago, two to three years ago at our other next step. And what we've seen over the last few years, we started very small with a thing we call the next-best-action prediction and now more and more, we've been fusing AI across the product so that every poor part of the development cycle from what developers code and the logic, the UI to how architecture is measured and technical depth is measured. Everything is infused in with the AI and we see great reception from customers because it just makes their life easier. It's removing the boring, that's the expression they use. Its just removes the boring, repetitive things and frees human creativity. It's not going to take the developer's job, it's essentially going to make them super humans if you will, so that's one way. The other thing that you've seen us talk about the Keynote is how do we make this happen for our customers customer? How we help developers deploy AI capabilities within their own applications build like a platform so that what they do and what they deliver has the same property, the same characteristics of the thing that I'm talking about. So with deploying AI, it's still hard. It's still very, very hard these days. We talk a lot about it, but it's not for the, it's hard. It has many, many problems. You've got to treat the data, create the models, deploying the models, integrate them into the applications. And we're really making sure that that cycle is compressed as well and accessible to more people. So to answer your question, we see customers, absolutely. It's probably the part of the product they get most excited when they see it in action like they saw it on the Keynote because it's just going to make their lives easier, more easier to respond faster to change. Easier to build new things and easier to have people that are just happy with their lives and with their careers. >> I know, such a good point there. I've run through people over time that sometimes they're hesitant or they're not sure, they're worried it's going to take away their job. And it's like, well, don't you think if you had an extra hour or an extra day that you would do other things that would be more fulfilling and more valuable for the business. So important that we can do that and top priority we've been hearing for the last year or so >> Absolutely >> Is to really embrace that automation, AI. All right Goncalo, I want to get, let you have the final word a lot going on at the show here. We're really excited to have a broad coverage here. Going to dig more into the AI, the community, a couple of your customers and the like so. Give us a final word from OutSystems NextStep. >> Well, I think the final word here is what we're building is just starting. We're looking forward as you said, OutSystems is about 20 years old now, we're looking forward to the next 20 years into really embracing the next 10 million developers that are coming into the workplace and to make their lives and their contributions to society, to organizations, to businesses really, really fantastic. And to have people going to meetings and say yes, and to feel like they're the roadrunner and not that to feel that they're pushing their businesses back, and we're going to be here to support our community in this transition. And to make them super human, super productive, so a hundred times more productive than with any alternative, that's our vision. And so I hope that if you're still on the fence about is this the right thing for me, that you take a closer look and really understand what it is that we can offer to actually most businesses. We're applicable to most businesses at this point in time. >> Goncalo, thank you so much. Alan Cohen, a great friend of "theCUBE" said many years ago, right we need to get people going from saying no or being slow and the answer needs to be go. >> So Goncalo. >> Yeah, absolutely. >> Thank you so much for joining us pleasure talking to you. >> Thank you too, pleasure. >> Okay, stay tuned for more coverage from OutSystems Nextstep, I'm Stu Miniman and thank you for watching "theCUBE". (bright upbeat music)

>>from around the globe. It's the cue with digital coverage of out systems. Next Step 2020 Brought to you by out systems. I'm stupid, man. And welcome back to the cubes Coverage of out systems Next step course. One of the items that we've been talking a lot in the industry is about how artificial intelligence, machine learning or helping people is. We go beyond what really human scale can do and we need to be ableto do things more machine scale. Help us really dig into this topic. Happy to welcome to the program First time guest Antonio Alegria. He is the head of artificial intelligence at out systems. Tonio, thanks so much for joining us. >>Thank you. So I'm really happy to be here and and really talk a little bit about what? We're doing it out systems to help our customers and our leverage eai to get to those goals. >>Wonderful. So I I saw ahead of the event a short video that you did and talked about extreme agility with no limits. So, you know, before we drink, dig into the product itself. Maybe if you could just how should we be thinking about a I you know, there's broad spectrum. Is that machine learning that there's various components in there? Listen to the big analyst firms. You know, the journey. It's big steps and something that that is pretty broad. So when we're talking about A I, you know, what does that mean to you? What does that mean to your customers? >>Eso So AI out systems really speaks to division and the core strategy we have for our product, which is, you know, if you saw the keynote, no, we talk about no, really enabling every company, even those that you know, that existed for decades, perhaps have a lot of legacy to become. You know, leading elite cloud software development companies and really can develop digital solutions at scale really easily. But one thing we see and then this is a big statistic. One of the things that limits limits CEOs the most nowadays is really the lack of town lack of engineering, a softer engineering, you know, ability and people that that that could do that. And there's a statistic that was reported by The Wall Street Journal. I saw it recently, perhaps last year, that said that according to federal jobs dating the U. S. By the end of 2. 2020 there would be about a million unfilled I E. T s after development jobs available. Right? So there's this big problem All of these companies really need to scale, really need to invest in digital systems and so horribly fed out systems. We've already been abstracting and we've been focusing automating as much as possible the softer development tools and applications that use. We've already seen amazing stories of people coming from different backgrounds really starting to develop, really leading edge applications. And we want to take this to the next level. And we believe that artificial intelligence with machine learning but also with other AI technologies that were also taking advantage of can really help us get to a next stage of productivity. So from 10 x productivity to 100 x productivity and we believe AI plays a rolling three ways. We believe II by learning from all of this data that we not collect in terms of, you know, projects are being developed. We're essentially trying to embed a tech lead, so to speak, inside a product and attack Lee that can help developers by guiding them got in the most junior ones by automating some of the boring, repetitive tasks were by validating their work. Making sure that they're using the best practice is making sure that it helps them as they scale to re factor on their code to automatically designed architectures. Things like that >>Wonderful. Antonio Gonzalo stated it quite clearly in the interview that I had with him. It's really about enabling that next you know, 10 million developers. We know that there is that skill gap, as you said, and you know everybody right now how can I do more? How can I react faster? Eso that's where you know, the machine learning artificial intelligence should be able to help. So bring us inside. I know the platform itself has had, you know, guidance and and the whole movement. You know, what we used to call low code was about simplifying things and allowing people to, you know, build faster. So bring us inside the product. You know what? The enhancements? One of the new pieces. Some of the key key items, >>Yes, So 11 interesting thing. And I think one thing that I think out system is really proud of being able to achieve is if you look at how out system has been using a AI within the platform. We started with introducing AI assistance within the Our Software Development Environment Service studio. Right? And so this capability, we've been generating it a lot. We've been evolving it, and now it's really able to accelerate significantly and guide novices, but also help pros dealing through software development process and coding by essentially trying to infer understanding their context and trying to infer their intent and then automating the steps afterwards. And we do this by suggesting you the most likely let's say function or or code p sexual one you need. But then, at the next step, which we're introducing this year, even better, which is we're trying to auto fill most of them. Let's see the variables and all of that in the data flow that you need to collect. And so you get a very delightful frictionless experience as you are coating, so you're closer to the business value even more than before. Now this is the This was just the first step, what you're seeing now and what we're announcing, and we're showing up at this next step that we show that the keynote is that we're trying to fuse starting to fuse AI across the out systems products and across this after development life cycle. So he took this core technology that we used to guide developers and assistant automate their work. Um, and we use the same capability to help developers. Tech leads an architect's to analyze the code, learning from the bad patterns that exist, learning from and receiving runtime information about crashes and performance and inside the product recall architecture, dashboard were really able to give recommendations to these architects and tech leads. Where should they evolve and improve their code? And we're using AI refusing AI in this product into very specific ways. Now that we're releasing today, which is one is to automatically collect and design and defined the architecture. So we call this automated architecture discovery. So if you have a very large factory, you can imagine, you know have lots of different modules, lots of different applications, and if you need to go and manually have to label everything so this is ah, front, and this is the back end. That would take a lot of time. So we use machine learning, learning from what architects have already done in the past, classifying their architecture. And we can map out your architecture completely automatically, which is really powerful. Then we also use our AI engine to analyze your factory and weaken detect the best opportunities for re factoring. Sorry. Factoring is one of the top problems in the top smells and technical depth problems that large factories have. Right, So we can completely identify and pinpoint. What are these opportunities for re factory and we guide you through it, which held you okay, all of these hundreds of functions and logic patterns that we see in your code Could you re factor this into a single function and you can save a lots and lots of code because, as you know, the best code the fastest coast easiest to maintain is the Cody. Don't ride. You don't have. So we're trying to really eliminate Kurt from these factories with these kids ability. >>Well, it's fascinating. You're absolutely right. I'm curious. You know, I think back to some of the earliest interactions I had with things that give you guys spell checkers. Grammar check. How much does the AI that you work on. Does it learn what specific for my organization in my preferences? Is there any community learning over time? Because there are industry breast pack that best practices out there that are super valuable. But, you know, we saw in the SAS wave when I can customize things myself were learned over time. So how does that play into kind of today in the road map for a I that you're building >>that? That's a good question. So our AI let's say technology that we use it actually uses to two different big kinds of AI. So we use machine learning definitely to learn from the community. What are the best practices and what are the most common pattern that people use? So we use that to guide developers, but also to validate and analyze their code. But then we also use automated reasoning. So this is more logic based reasoning based AI and repair these two technologies to really create a system that is able to learn from data but also be able to reason at a higher order about what are good practices and kind of reach conclusions from there and learn new things from there now. We started by applying these technologies to more of the community data and kind of standard best practices. But our vision is to more and more start learning specifically and allowing tech leads an architect even in the future. To Taylor. These engines of AI, perhaps to suggest these are the best practices for my factory. These patterns perhaps, are good best practices in general. But in my factory, I do not want to use them because I have some specificities for compliance or something like that. And our vision is that architects and techniques can just provide just a few examples of what they like and what they don't like in the engine just automatically learns and gets tailor to their own environment. >>So important that you're able to, uh, you know, have the customers move things forward in the direction that makes sense on their end. I'm also curious. You talk about, um, you know what what partnerships out systems has out there, you know, being able to tie into things like what the public cloud is doing. Lots of industry collaboration. So how does health system fit into the kind of the broader ai ecosystem. >>Yes. So one thing I did not mention and to your point is eso were have kind of to, um Teoh Complementary visions and strategies for a I. So one of them is we really want to improve our own product, improve the automation in the product in the abstraction by using AI together with great user experience and the best programming language for software on automation. Right, So that's one. That's what we generally call AI assisted development. And if using AI across this software development life cycle, the other one is We also believe that you know, true elite cloud software companies that create frictionless experiences. One of the things that they used to really be super competitive and create this frictionless experiences is that they can themselves use AI and machine learning to to automate processes created really, really delightful experiences. So we're also investing and we've shown and we're launching, announcing that next step we just showed this at at the keynote one tool that we call the machine learning builder ml builder. So this essentially speaks to the fact that you know, a lot of companies do not have access to data science talent. They really struggle to adopt machine learning. Like just one out of 10 companies are able to go and put a I in production. So we're essentially abstracting also that were also increasing the productivity for you for customers to implement an AI and machine learning we use. We use partners behind the scenes and cloud providers for the core technology with automated machine learning and all of that. But we abstract all of the experience so developers can essentially just pick of the data they have already in the inside the all systems platform, and they want to just select. I want to trade this machine learning model to predict this field, just quickly click and it runs dozens of experiments, selects the best algorithms, transforms that the data for you without you needing to have a lot of data science experience. And then you can just drag and drop in the platform integrating your application. And you're good to go. >>Well, it sounds comes Ah, you know, phenomenal. You mentioned data scientists. We talked about that. The skill gap. Do you have any statistics? You know? Is this helping people you know? Higher, Faster. Lower the bar the entry for people to get on board, you know, increased productivity. What kind of hero numbers do your customers typically, you know, how do they measure success? >>Yes, So we know that in for machine learning adoption at cos we know that. Sorry, This is one of the top challenges that they have, right? So companies do not. It's not only that they do not have the expertise to implement machine learning at in their products in their applications. They don't even have a good understanding of what are the use cases in or out of the technology opportunities for them to apply. Right? So this has been listed by lots of different surveys that this is the top problem. These other 22 of the top problems that companies have to adopt a ice has access to skilled. They decided skill, understanding of the use case. And that's exactly what we're trying to kind of package up in a very easy to use product where you can see the use cases you have available, we just select your data, you just click train. You do not need to know that many greedy details and for us, a measure of success is that we've seen customers that are starting to experiment with ML Builder is that in just a day or a few days that can iterating over several machine learning models and put them in production. We have customers that have, you know, no machine learning models and production ever, and they just now have to, and they're starting to automate processes. They're starting to innovate with business. And that, for us, is we've seen it's kind of the measure of success for businesses initially, what they want to do is they want to do. POC is and they want to experiment and they want to get to production stopped. Getting to field for it and generate from >>a product standpoint, is the A. I just infused in or there's there additional licensing, how to customers, you know to take advantage of it. What's the impact on that from the relationship without systems? >>Yes. So for for for a I in machine learning that is fused into our product and for automation, validation and guidance, there's no extra charge is just part of the product. It's what we believe is kind of a core building block in a course service for everything we do in our product for machine learning services and components that customers can use to in their own applications. We allow you to integrate with cloud providers, and the building is is done separately on. That's something that that we're working towards and building great technical partnerships and exploring other avenues for deeper integration so that developers and customers do not really have to worry about those things. Well, >>it's it's It's such a great way to really democratize the use of this technology platform that they're used to. They start doing it. What's general feedback from your customers? Did they just like, Oh, it's there. I start playing with it. It's super easy. It makes it better there any concerns or push back. Have we gotten beyond that? What? What? What do you hear any any good customer examples you can share us toe general adoption? >>Yes. So, as I said, as we re reduce the friction for adopting these technologies, we've seen one thing that's very interesting. So we have a few customers that are present more in the logistics site of industry and vertical, and so they they have a more conservative management, like take time to adopt and more of a laggard in adopting these kinds of technologies, the businesses more skeptical. But I want to spend a lot of time playing around right and whence they saw. Once they saw what they could do with a platform, they quickly did a proof of concept. They show to the business and the business had lots of ideas. So they just started interacting a lot more with I t, which is something we see without systems platform not just for a I machine learning, but generally in the jib. Digital transformation is when the I teak and can start really being very agile in iterating and innovating, and they start collaborating a lot with the business. And so what we see is customers asking us for even more so customers want more use cases to be supported like this. Customers also the ones that are more mature than already, have their centers of excellence and they have their data scientists, for example. They want to understand how they can also bring in perhaps their use of very specialized tool talking in it. Integrate that into the platform so that you know, for certain use cases. Developer scan very quickly trained their own models. But so specialized data science teams can also bring in. And developers can integrate their models easily and put them into production, which is one of the big barriers we see in a lot of companies people working on yearlong projects. They develop the models that they struggle to get them to production. And so we really want to focus on the whole into in journey. Either you're building everything within the octopus platform or you're bringing it from a specialized pro tool. We want to make that whole journey frictionless in school. >>And Tony a final question I have for you. Of course, this space we're seeing maturing, you know, rapid Ah, new technologies out there gives a little look forward. What should we be expecting to see from out systems or things even a little broader? If you look at your your partner ecosystem over kind of the next 6, 12 18 months, >>Yes. So, um, what you're going to continues to see a trend, I think, from from the closer providers of democratization of the AI services. So this is during that just starting to advanced and accelerate as these providers started packaging. It's like what out systems also doing, starting to packaging Cem some specific, well defined use cases and then making the journey for training these models and deploying Super super simple. That's one thing that's continued to ramp up, and we're going to move from A I services more focused on cognitive, pre trained models, right, that which is kind of the status quo to custom ai models based on your data. That's kind of the train we're going to start seeing in that out systems also pushing forward generally from the AI and machine learning application and technology side of thing. I think one thing that we're leading leading on is that you know, machine learning and deep learning is definitely one of the big drivers for the innovation that we're seeing in a I. But you're start seeing more and more what is called hybrid I, which is taking machine learning and data based artificial intelligence with more logic based automated reasoning techniques, impairing these two to really create systems that are able to operate at a really higher level, higher cognitive level of which is what out systems investing internally in terms of research and development and with partnerships with institutions like Carnegie Mellon University and >>rely Antonio, who doesn't want, you know, a tech experts sitting next to them helping get rid of some of the repetitive, boring things or challenges. Thank you so much for sharing the update. Congratulations. Definitely Look forward to hearing war in the future. >>Thank you. Do have a good day >>Stay tuned for more from out systems. Next step is to minimum and thank you for watching.