>> Narrator: Live from Las Vegas, it's the CUBE, covering Interconnect 2017, brought to you by IBM. >> Welcome back, everyone. We're live in Las Vegas for the CUBE's coverage of Interconnect 2017. This is three days of wall-to-wall coverage. Stay with us for the entire event. This is day two. I'm John Furrier with my co-host Dave Vellante and Esques' Willie Tejada, who's the IBM chief developer advocate at IBM. Welcome to the CUBE. >> Thank you, guys. I'm really pleased to be here. >> So, love to have you on because all we do is talk about developers and what's in it for them, who's doing what, who's got the better cloud, who's enterprise ready, all that good stuff, commentating. But I love Ginny Rometty's conversation today because we just had Google Next, covered Amazon events, all the cloud events, and the thing that's been on our agenda, we've been really looking at this, is cloud readiness in the enterprise. And this is really kind of fundamental, what she was talking about, enterprise strong, data first, cognitive to the core, which kind of is their three pillars, but this is the, where the action is right now. >> Yeah you know for developers that's exactly true. You know, what you outlined is really this idea of basically there's three kind of core architectures, right? It's cloud, number one, followed by data layered on top of that, and essentially AIR cognitive on top. And what that means actually for the developer communities is that there's a new set of skill sets that are probably moving faster than we have ever seen before, right? And a lot of it's actually driven by this explosion of data, and so um, one of the things that we think that there's going to be a huge shortage of and there is a huge shortage of, is data scientists and cognitive developers. Because in those layers, what we've seen is that more and more, you operate on a data first model and by that, by just that definition, what you need to know about data is pushing towards a practitioner level of data scientists and the reality is that we think that type of core skill sets going to be needed across all of the developer communities. >> So take a minute to describe what will define a cognitive developer >> Tajeda: Sure, >> And what that, and the nuance behind it, because obviously the developers are doing really cool creative things, and then you've got the heart under the hood, production work loads and IT so where is the cognitive developer fit in those spectrums and what is the core definition from your standpoint? >> Yeah you know, the cognitive developer really is a person who's actually participating in actually the generation of a system that's fully cognitive, so you know, adding a cognitive feature is one thing, but actually building a full cognitive system is something different. You know if I use a comparison, think about how some of these roles in big data came about big data came, but we didn't have things like a data scientist, we didn't have a data engineer, and it kind of came after the fact the roles that were actually defined. Now we're onto these new cognitive systems where everything from, you have to train the system you have to have explicit knowledge of what the APIs actually do and you have to have infrastructure that actually curates data that continues this training along those lines. So you know the cognitive developers, really one that's participating in that particular ecosystem now what's really important though about that is they are usually programming in the language that their usually programming in. Whether it be Java, data scientists are using r or they're using Python, but the reality is that a cognitive developer's is that one that's applying those cognitive properties to their system that they're developing. >> So this is interesting, you mentioned the cognitive develop new tools and stuff, but there's some really good trends out there that are, that's the wind at the back of the developer right now. Cloud native is a booming trend that's actually phenomenal, you're seeing container madness continue, you've got micro services, all with kubernetes under the hood so there's some cool exciting things in the trend lines, can you unpack that for us and what this means to the developers, how does it impact their world? I mean we hear composability, lego blocks most developers know API economy is here, but now you've got these new tail winds, these new trends, >> Tajeda: Yep >> What's the, what are they, add to at, what's the impact to the developer? >> Well we talked about the new container service based on kubernetes that's allowing us to actually build to tremendous scale, and really simplify that type of development actually when you're doing native cloud development. You know, probably the most important things for developers is just accessibility of all these pieces, of course it's driven by open source, but you know if you want to learn these technologies if you want to participate and experiment with these technologies, they've never been more available than they actually are today. >> Vellante: So if I may, so Tanmay is a good example of a cognitive developer >> Absolutely. >> He's all cloud native, he's all cognitive, >> Nice shout out from the CEO today >> Yeah. >> He's also an algoithmist, you know self declared algorithmist, >> I can't even say that, >> Okay so here's Tanmay, he's never going to know anything else, right? But now, of you're a sort of mainstream developer, what do you do, you know? Where do you get the skills, what do you recommend that that individual does, and how do they get up the ramp? >> So you know, lots of times as you know the developer's learnings is not like kind of a linear pattern, right? They go to blogs basically they go and pull basic a library for them to >> Vellante: They figure it out. >> Along those lines, they go to a meet up or a hack from that stand point that's based on cognitive development and you know, so they should just go about what they normally do kind of along those lines, and then you know I think basically there's am advancement because ultimately we're publishing these things called journeys, which are really kind of use cases in the cognitive based environment so as an example, we might publish a journey on a cognitive retail chat bot, and it will combine a variety of these micro services that Watson's actually built on but give them exploration as to how they use the chat bot, how they use a service called discovery, and how they use persistence basically so that essentially they can learn from the data that they actually have and then ultimately if what they want to do is get deeper into it, there's organizations that we partner with where we give them cognitive curricullum that allows them to experience these pieces like top coder you can go on and do a cognitive challenge, right on top coder or you can go to a a cognitive course designed by galvanized one of our partners in relation to skills development. >> So that's interesting about that journey, so when you think about big data we talked about big data before, the sort of point at which at a company like IBM would engage in that journey is somebody who's exploring and maybe kicking the tires a little bit or somebody at a data warehouse that was like killing them, right? Where is, obviously there's a part of that in the cognitive world which is experimental >> Tajeda: Yep >> Is there a sort of analog to the data warehouse sort of disaffection if you will. >> Yeah, you know one of the things that we spend a lot of time on is that every organization that's going to build a cognitive system is looking for cognitive developers and data scientists, you know so essentially, >> Furrier: It's across all industries by the way, >> Absolutely >> Cyber securities to, >> Absolutely so you know, one of the key pieces is what kind of tools do you actually give that data scientist, to mess around with that data set, we provide something called a data science experience, and the idea there is essentially how do you give them an environment that allows them essentially to look into the data very quickly actually have these sets, and really kind of explore the data in a way that they never were capable of actually doing that, you know, those are the types of things that we're actually trying to that a data scientist, so that you can bridge over if you were a data engineer, or you're a business analyst, and you're looking to actually get into data science, you can actually play with some of these big data sets and actually explore what things you can do. >> Willie, I couldn't agree with you more on the whole, how developers learn it's really not a course ware online and the fiscal classroom, maybe they're offering it in college but, it's the practitional world of non linear learning through experience and these journeys are super valuable, and just for a tactical question, where do they find the journeys, or URL? >> What you'll find basically, come April first, we're going to launch a number of them, on developer.ibm.com/accelerate so they'll be focused on several different categories, number one will be just developing in the cloud cloud native, what's a journeys basically that they're kind of like common set ups that you actually need, we'll do, next one's on cognitive analytics where you pull together a set of services along those lines, and as you heard Ginny talk about, you know it's really important that a cloud have knowledge about a domain or an industry and so we'll create some journeys that are actually very industry specific, you know we announced, >> Furrier: Like they're like templates bascially, >> They are, >> People jump start it, not so much a reference implementation, >> Exactly, >> You know what I'm saying, the old days >> But you know, what it's all about is you mentioned this non linear journey that developers don't actually learn fundamentally they have a core thing that they're trying to get actually get done which is, get you help me get my stuff done faster, right? And fundamentally, when you talk about cognitive or data science, we're trying to actually deliver them tool sets or examples that do that. >> So I now got to go to the next level with that question, because it's first of all it's awesome, now how do you intersect that with community? Because now, that's super important because and you might want to take a minute to just do a plug for IBM in terms of the open source goodness you guys are doing because you guys do a great job with open source. >> Tajeda: You know we just hosted a very large, what we believe is, one of the largest open tech meet ups, right before basically InterConnect started, and we had one of the ballrooms actually full, and we talked about our new service we had Jim Basic from the Linux Foundation actually come, he stated a stat which was really interesting in open source which IBM is a large contributor to, that I think the stat that he said was Linux basically has a project now, there's 10,800 new lines of code and 1,800 lines of code that are modified every day, right? >> Furrier: Yeah, >> And that's the community. >> And that's only going to get faster, if you think about like just, the physical media like ssds, in memory, which spark the kernal, >> Vellante: The quantum, >> Linux is going evolve in a radical and killer way I mean, this is just the beginning. >> And to your point about the community, when you think about that advancement at the pace by which basically that software's actually going to move, there's not one organization that can outpace that type of community in the way they actually do it, it doesn't matter what the services actually are so, >> Well the other interesting thing is the impact on human kind, you heard Benny Hoff and Ginny talking about this morning and they were both really emphasizing machine augmented, right? But, it's like a Pac Man device, I mean there's so much human interaction that's being automated today, >> Tajeda: Yeah, abslutely, >> So, and I know IBM obviously big believer in augmentation, but it's hard to predict what things human's are going to be do, be able to do that machine's can't do, any insight on that? >> Yeah you know, I think, we like to use the word cognitive assisted, So when you think about it, I'll give one example, let's say for example in the medical profession, so, if you look at it, in the healthcare industry, about 90 percent of the data in there is not structured data, right? It's all unstructured data, a lot of it is images, so if you take a look at someone basically that's in oncology work taking a look at things like melanoma, the amount of time I think the data set said the amount of time he needed to watch or get trained on to look at all the new papers that were ever published, was probably three weeks basically, if he's thinking about that in a month. The amount of time that that person allocates to actually keeping up with all these particular trade journals is a few hours a week, and so he's constantly behind, this where something like a watson enabled, or a cognitive enabled type of application can help him actually keep up to date with all the new findings and research papers in his particular field, and do something like ingest millions of documents and understand them but actually apply that to his work, so you know what you find is doctors actually utilizing a cognitive assistant powered by Watson to help him do a better diagnosis. >> Will you're an advocate for the chief developer advocate for IBM, talk about for the last couple minutes we have, what's on your plan, we just saw the news yesterday, the 10 million dollar investment to get education out there and bring this cognitive developer category, kind of lift that up and, with Galvanize which we've supported some of those signature moment events with the Cube, where are you going to be out in the field, what's some of your go to market activities how you going to do this, and then talk about the patterns you've seen in the developer make up. >> Yeah, >> Just over the past year, what's changed, what's notable? >> Yeah, so you know what, you know some of the things that we're actually doing is number one, we're we're taking up very large presence in probably nine cities around the world with a very big emphasis on building on data science and cognitive developers, so you know, there's kind of the usual suspects, the San Franciscos, the New Yorks, the Tokyos, the Londons, some presence in Sao Paulo, we're doing Beijing, we recently basically announced a partnership of how we can actually get presence actually there and through that, we're looking actually to bring, basically this presence into those communities, so this idea that we help, actually put forth these journeys but in many cases actually be right in the presence of things, we have, in some cases we have some programs that we're actually spinning up that are all about essentially how we actually do things like IOT Thursdays, or Cognitive Tuesdays where they can actually see actual experts in those particular areas, and just come do office assignments, >> Furrier: Do Throwback Thursday, you hack on a mainframe >> Tajeda: That's it! (laughter) >> That's what they're actually looking at from that standpoint so, so yeah a lot of this stuff basically is just actually getting to some of those folks in a very very intimate way, and like you said actually kind of populating these folks where kind of where they are, and really what that's all about is actually getting the tools and tool sets in the communities that they find and the peer learning that they do, which is real, >> Furrier: Well we'll see you at some of the Galvanize events you guys got goin on we'll certainly see you at Dockercon we got a lot of Cube line ups, for this Spring tour, and the Fall ton of developer activity, the Cloud Native stuff is really an intersection point with big data colliding with cloud IOT and AI and this cognitive is just an accelerant, >> Tajeda: Absolutely, absolutely >> For the cloud, the perfect storm is a good opportunity. >> There's never been more available time in terms of technology, and the technology never moved as fast, >> I was just saying to Tanmay when he was on yesterday, "I wish I could be 13 again", coding is so much more fun now than it was when we were doing it. Well great to have you on Willie, >> Hey thanks very much, it was actually very good visiting with you guys. >> Great insight, insight from the chief developer advocate here at IBM, I'm John Furrier, Steve Vellante stay with us for more coverage, great interviews all day today, and tomorrow, here live in Las Vegas, we'll be right back.