>> Announcer: Live from Los Angeles. It's theCUBE covering Open Source Summit North America 2017. Brought to you by, the Linux Foundation and Red Hat. >> Hello everyone, welcome back. Our live coverage, theCUBE's live coverage, of the Open Source Summit in North America, it's a part of the Linux Foundation. I'm John Furrier your host, with Stu Miniman our co-host. Our next guest is Tanmay Bakshi, who is an IBM honorary cloud advisor, algorithmist, former CUBE alumni. Great to see you. >> Thank you very much! Glad to be here! >> You get taller every year. It was what, three years ago, two years ago? >> I believe yeah, two years ago, Interconnect 2016. >> IBM show... doing a lot of great stuff. You're an IBM VIP, you're doing a lot of work with them. IBM Champion. >> Thank you >> Congratulations. >> Thank you. >> What's new? You're pushing any code today? >> Definitely! Now today, getting ready for my BoF that I've got tonight, it's been absolutely great. I've been working on a lot of new projects that I'm going to be talking about today and tomorrow at my keynote. Like I've been working on AskTanmay, or course you know, Interconnect 2016, very first time I presented AskTanmay. Since then, a lot has changed, I've incorporated real, deep learning algorithms, custom, with tensorflow. Into AskTanmay, AskTanmay now thinks about what it's actually looking at, using Watson as well, it's really interesting. And of course, new projects that I'm working on, including DeepSPADE, which actually, basically helps online communities, to detect, and of course report and flag spam, from different websites. For example, Stack Overflow, which I'm working on right now. >> So you're doing some deep learning stuff >> Tanmay: Yes >> with IBM Watson, the team, everything else. >> Tanmay: Exactly, yes. >> What's the coolest thing you've worked on, since we last talked? (laughing) >> Well it would have to be a tie between AskTanmay, DeepSPADE, and advancement to the Cognitive Story. As you know, from last time, I've been working on lots of interesting projects, like with AskTanmay, some great new updates that you'll hear about today. DeepSPADE itself though, I'd like to get a little bit more into that. There's actually, I mean of course, everyone listening right now has used Stack Overflow or Stack Exchange at one point in their lives. And so, they've probably noticed that, a little bit, here and there, you'd see a spam message on Stack Overflow, on a comment or post. And of course there are methods to try and prevent spam on Stack Overflow, but they aren't very effective. And that's why a group of programmers, known as Charcoal SE, actually went ahead and started creating, basically this sweep to try and prevent spam on Stack Exchange. And they call it, SmokeDetector. And it helps them to find and remove spam on Stack Exchange. >> This is so good until it goes out, and the battery needs to be replaced, and you got to get on a chair. But this whole SmokeDetector, this is a real way they help create a good, healthy community. >> Yes, exactly. So, they try and basically find spam, report to moderators, and if enough alarms are set off, they try and report it, or flag it automatically, via other people's accounts. And so basically, what I'm trying to do is, I mean, a few weeks ago, when I found out about what they're doing, I found out that they use regular expressions to try and find spam. And so they have, you know, years of people gathering experience, they're experts in this field. And they keep, you know, adding more regular expressions to try and find spam. And since I, you know, am really really passionate about deep learning, I thought why not try and help them out, trying to augment this sort of SmokeDetector, with deep learning. And so, they graciously donated their data set to me, which has a good amount of training, training rows for me to actually train a deep learning system to classify a post between spam or non-spam. And you'll be hearing a lot more about the model architecture, the CNN plus GRU model, that I've got running in Keras, tonight during my BoF. >> Now, machine learning, could be a real benefit to spam detection, cause the patterns. >> Tanmay: Exactly. >> Spammers tend to have their own patterns, >> Tanmay: Exactly. >> as do bots. >> Tanmay: Yes, exactly, exactly. And eventually, you realize that hey, maybe we're not using the same words in every post, but there's a specific pattern of words, or specific type of word, that always appears in a spam message. And machine learning would help us combat against that. And of course, in this case, maybe we don't actually have a word, or a specific website, or a specific phone number, that would trigger a regular expression alarm. But in the context that this website appears, machine learning can tell us that, "hey, yeah, this is probably a spam post." There are lots of really interesting places where machine learning can tie in with this, and help out with the accuracy. In fact, I've been able to reach around 98% accuracy, and around 15 thousand testing rows. So, I'm very glad with the results so far, and of course, I'm continuing to do all this brand retuning and everything... >> Alright, so how old are you this year? I can't keep the numbers straight. Are you 13, 14? >> Well originally, Interconnect 2016, I was 12, but now I'm 13 years old, and I'm going to be 14 in October, October 16th. >> Okay, so you're knocking on 14? >> Tanmay: Uh, not just yet there, I'll be 14... >> So, Tanmay, you're 14, you're time's done, at this point. But, one of your missions, to be serious, is helping to inspire the next generation. Especially here, at the Open Source Summit, give us a preview of what we're going to see in your keynote. >> Sure, definitely. And now, as you mentioned, in fact, I actually have a goal. Which is really to reach out to and help 100 thousand aspiring coders along their journey, of learning to code, and of course then applying that code in lots of different fields. In fact I'm actually, already around 4,500 people there. Which, I'm very very excited about. But today, during my BoF, as I mentioned, I'm going to be talking a lot about the in-depth of the DeepSpade and AskTanmay projects I've been working on. But tomorrow, during my keynote, you'll be hearing a lot about generally all the projects that I've been working on, and how they're impacting lots of different fields. Like, healthcare, utility, security via artificial intelligence and machine learning. >> So, when you first talked to us about AskTanmay, it's been what almost 18 months, I think there. What's changed, what's accelerating? I hear you throw out things like Tensorflow, not something we were talking about two years ago. >> Tanmay: Yeah. >> What have been some of the key learnings you've had, as you've really dug into this? >> Sure, in fact, this actually something that I'm going to be covering tonight. And that is, that AskTanmay, you could say, that it's DNA, well, from AskMSR, that was made in 2002. And I took that, revived it, and basically made it into AskTanmay. In its DNA, there were specific elements, like for example, it really relies on data redundancy. If there's no data redundancy, then AskTanmay doesn't do well. If you were to ask it where it was, where's the Open Source Summit North America going to be held, it wouldn't answer correctly, because it's not redundant enough on the internet. It's mentioned once or twice, but not more than that. And so, I learned that it's currently very, I guess you could say naive how it actually understands the data that it's collecting. However, over the past, I'd say around six or seven months, I've been able to implement a BiDAF or Bi-Directional Attention Flow, that was created by Allen AI. It's completely open-source, and it uses something that's called a SQuAD data set, or Stanford Question and Answer Data Set. In order to actually take paragraphs and questions, and try to return answers as snippets from the paragraphs. And so again, integrating AskTanmay, this allows me to really reduce the data redundancy requirement, able to merge very similar answers to have, you know better answers on the top of the list, and of course I'm able to have it more smart, it's not as naive. It actually understands the content that it's gathering from search engines. For example, Google and Bing, which I've also added search support for. So again, a lot has changed, using deep learning but still, sort of the key-points of AskTanmay requires very little computational power, very very cross-platform, runs on any operating system, including iOS, Android, etc. And of course, from there, open-source completely. >> So how has your life changed, since all the, you've been really in the spotlight, and well-deserved I think. It's been great to have you On theCUBE multiple times, thanks for coming on. >> Thank you No, definitely of course. >> Dave Vallante was just calling. He wants to ask you a few questions himself. Dave, if you're watching, we'll get you on, just call right now. What's going on, what are you going to do when... Are you like happy right now? Are you cool with everything? Or is there a point where you say, "Hey I want to play a little bit with different tools", you want more freedom? What's going on? >> Well, you see, right now I'm very very excited, I'm very happy with what I'm doing. Because of course I mean, my life generally has changed quite a bit since last Interconnect, you could say. From Interconnect 2016 to 17, to now. Of course, since then, I've been able to go into lots of different fields. Not only am I working with general deep learning at IBM Watson, now I'm working with lots of different tools. And I'm working especially, in terms of like, for example Linux. What I've been doing with open-source and everything. I've been able to create, for example, AskTanmay now integrated Keras and tensorflow. DeepSpade is actually built entirely off of tensorflow and Keras. And now I've also been able to venture into lots of different APIs as well. Not just with IBM Watson. Also things like, we've got the Dandelion API. Which AskTanmay also relies off of Dandelion, providing text similarity services for semantic and syntactic text similarity. Which, again, we'll be talking about tonight as well. So, yeah, lot's has changed, and of course, with all this sort of, new stuff that I'm able to show, or new media for which I'm able to share my knowledge, for example, all these, you know CUBE, interviews I've been doing, and of course all these keynotes, I'm able to really spread my message about AI, why I believe it's not only our future, but also our present. Like, for example, I also mentioned this last time. If you were to just open up your phone right now, you already see that you're, half of your phone is powered by AI. It's detecting that hey you're at your home right now, you just drove back from work, and it's this time on this day, so you probably want to open up this application. It predicts that, and provides you with that. Apart from that, things like Siri, Google Now, these are all powered by AI, they're already an integral part of our lives. And of course, what they're going to be doing in our lives to come is just absolutely great. With like, healthcare, providing artificial communication ability for people who can't communicate naturally. I think it's going to be really really interesting. >> Tanmay, it's always great have you on theCUBE. Congratulations. >> Tanmay: Thank you very much. >> AskTanmay, good projects. Let's stay in touch, as we start to produce more collaboration, we'd love to keep promoting your work. Great job. And you're an inspiration to many. >> Tanmay: Thank you very much, glad to be here. >> Thanks for coming on theCUBE. Live coverage from the Open Source Summit's theCUBE, in Los Angeles. I'm John Furrer, Stu Miniman. We'll be back with more live coverage after short this break. (upbeat music)

(upbeat music) >> Narrator: Live from Las Vegas, it's theCube covering InterConnect 2017. Brought to you by IBM. >> Okay welcome back everyone. We're here live in Las Vegas the Mandalay Bay for IBM InterConnect 2017. This is the Cube coverage I'm John Furrier my cohost Dave Vellante, our next guest is our famous Cube alumni, Tanmay Bakshi welcome back to the Cube. Now you're a cognitive developer and your new business card as part of the Darwin Ecosystem says Algorithmist. >> Dave: Algorithmist. >> Algorithmist, yes. >> John: Welcome back. >> Thank you, I'm very glad to be back on theCube. And yes, of course, as I said, I'm working on many new projects with artificial intelligence, and, of course, IBM Watson. Including ones that are provided by Darwin Ecosystem. And of course, we're working on this really interesting project called A Cognitive Story, which you will be seeing more about on my talks on Tuesday and Wednesday. The Cognitive Story is basically this collaboration between IBM, Darwin Ecosystem, Not Rocket Science, and me. Basically we're working towards really using the power of cognitive in order to change people's lives in a positive way. That's what I'm doing at the Darwin Ecosystem, generally, with IBM Watson and AI. >> Last year, we had a great chat. I remember talking about algorithms, the software, super fun. What's changed in the past year? Give us the update on you. And, two, what's changed in the code? >> Definitely. >> What are some of the things you're working on? >> Yeah, sure. So, since last year, first of all, a lot has changed. A lot of new trends have emerged in the general topic of technology, like Cybersecurity, something that people are starting to take a lot more seriously now. With things like AI and IBM Watson starting to be incorporated in with that. And, of course, though, really from my side, what I've mainly been doing is not, I've actually started to work not only with IBM Watson's cognitive capabilities, and not only the cognitive capabilities provided by these services, but also my own custom services. Crowd by neural networks, and other machine learning algorithms. Like, just for example, A Cognitive Story is powered by my own custom coded neural networks. And that's why, of course, I've been given the designation of Algorithmist. Because I love to work with algorithms, fine tune them, and, of course, design them. So that's actually what's been going on for the past year. But mainly, I guess you could say now my real focus is on how we can use artificial intelligence and cognitive computing in order to first of all, amplify and really augment human capability, and, of course, how we can use it to change people's lives in a positive way. Especially in fields like health care, where we can save people's lives with this technology, where we can make people's lives easier with this technology. Like, just for example, what IBM Watson is doing, for people with Autism, and how it's helping them with the applications that it provides. What IBM Watson's doing for the elderly in India, with the new Gentoo Robot that IBM Watson is creating, and so much that Watson is doing with healthcare. That's really what I'm focused in, with cognitive computing in general. >> What are some of the algorithms that you've been working on? What's the intent? >> Sure, well, I've actually been working on a lot of different algorithms. Mainly in the AI space, and, of course, how we can create neural networks to understand brainwave patterns. And you'll be seeing more of that on Tuesday and Wednesday, with The Cognitive Story. But, I've also been working, of course, on algorithms that I've already created, as I said, AskTanmay, you probably remember that from last year, the NLQA system. I've been working more on AskTanmay, and, in fact, in June, in Developer Connective last year, I actually open-sourced AskTanmay. So, of course, I've been working on that, improving it. I'm about to release Version 3, which is really fun. And, of course, since it's open source, I love to share my knowledge with this code so that other people can learn from it and learn how to use this type of AI technology in their own applications, as well. >> As a young, next generation, mogul, software mogul that you'll soon be, you're already one now, but you're still young, you've got a lot more ways to go, but you're living in a great time because, I wish I could be your age right now, because machine learning is really hot right now. And it's growing because of the cloud. The cloud gives you scale and compute power, and there's also a cultural vibe going on around social good. So, talk about machine learning, what you're excited about there, specifically, and some of the things that you see, from your generation of developers around this desire to provide social good. >> Yeah, definitely. Well, I guess we should start off with, really, my main focus of interest, in fact, as you said, are really cloud computing, cognitive computing, and IOT. Because in their respective fields, they are the next level of computing. And, in fact, we're already starting to adopt them. Cloud computing's already been adopted on a huge scale. Cognitive computing, we're getting there. And IOT's, again, starting to be accepted by a lot of different people. >> And you might not even get a driver's license because by the time you get your driver's license there's going to be autonomous vehicles. >> Exactly, and so, of course, IOT's being used everywhere, and so is cloud computing and cognitive. So, really, what I've been focused on in the past year is, first of all, trying to get developers really interested in cognitive. But as you said, developers are really interested in doing social good with these technologies, and, just imagine this, what we're doing with The Cognitive Story right now is, we're basically, for example, I can't, of course, go into too much detail about this right now, yet, but we are basically taking this cognitive services and we're allowing people who don't have the natural ability to be able to express themselves, or communicate, or move in any way, really, to be able to express themselves, and communicate their decisions, and communicate their emotion, or whether or not they're comfortable, and more, through this cognitive system. And, of course, that's why it's so interesting, because imagine if you can't talk, and imagine if you know that, OK, I want to do this, but you're unable to express that, you're unable to communicate that to the people around you, that means that you're quite literally trapped in your own body. And having cognitive computing able to come in and allow you to communicate, and create your own, I guess you could say, unique language using these brainwave patterns. That's something that I absolutely believe is, I guess you could say, the greatest gift, ever. To be able to give you the ability to communicate through artificial intelligence. That's really why I love working the healthcare field. >> Now, am I right, you've written a book? >> Yes, actually, and it actually started from last InterConnect. Last Interconnect, I started, and now I'm actually done writing my book, called, "Hello Swift!: IOS App Programming "for Kids and Other Beginners" and it's actually currently available for pre-order on the publisher's website, as well as lots of other book stores online. Of course, the final hard copy will be released soon. But basically, this book is really targeted towards getting the youth, and, really, kids, interested in programming, and specifically, IOS programming through Swift. And, of course, as you know, Swift is open-sourced, and I really support open source software. >> What are some of the cool things young kids want in software these days? Because, like I said, there is a tool chest of great stuff coming on, like composable software, Lego blocks, which people called like Lego blocks. What are some of the cool things that kids want these days? >> Well, there are a lot of things. But I'd actually like to highlight the main way that I like to get the youth interested in coding. And it's by showing them something that they find really interesting. For example, something that they see in movies a lot. Like, for example, artificial intelligence is the absolute perfect example of how you can have something, like artificial intelligence, that can get kids interested, and the youth interested, in these technologies like programming, in order to start to get them programming. Because of course, we need them to be prepared for their future. >> Gaming and AI are two, like, Sci-Fy is AI, kind of a cool, futuristic. And then gaming, also, is very interactive, immersion-based. >> Exactly, and, in fact, that's why a lot of companies are starting to merge AI and games. And, of course, virtual reality. Virtual reality is something else that, you know, kids, and really everybody, is really interested in nowadays. If we can, and in fact, we are, taking these AI technologies and incorporating them with these other technologies, like gaming, with the virtual reality, augmented reality, mixed reality, and we're trying to create this really interesting mix, especially for kids. And also, one more thing, here, is that not only are we doing this, AI is so diverse, it's all around us. It's on your phone, it's on your smart TV, it's in your car, and that's really why we should be showing the youth that this is all around us. We need to start adopting these technologies. >> Last year, I asked you the question, take us through a day in the life of Tanmay where you had a discovery. So let's play that back this year. Give us the time this year where you had a discovery. It could be super cool, or maybe just a breakthrough in some small way that was a notable that you'd like to share. >> Yes, and that actually happened recently. And again, I'm going to take this back to just a few weeks ago, actually. When I started working with, I mean, I had actually been working with my own custom machine learning algorithms for quite some time, since just after last InterConnect, actually, I started working with my own custom algorithms for machine learning. But a few weeks ago, I actually started working with those custom algorithms in the healthcare space. And one application that I've created that I find, actually, quite interesting because of the capability it has to help doctors, and I'll tell you this in a moment, is that it's an application that can take 69 attributes about any patient, OK, and it can actually tell you if they have a hearing disorder. And if so, what's their hearing disorder. The reason this is so great is because this can be a great help to audiologists, for example. And, in fact, I am actually in communication with an audiologist from the UK, and we're collaborating with him to try and see what this could hold in store for the future of audiology, and the future of healthcare, in general, with artificial intelligence. Apart from that, though, The Cognitive Story is another great project, where, of course, I'm trying to combine machine learning with these extremely powerful capabilities that Watson provides in order to create a great mix. In order to help people express themselves even though they don't have the natural ability to do so. >> So, Tanmay, obviously you are a big supporter of open source. You said earlier you open-sourced some of your algorithms, AskTanmay. What's been the response? Have you had contributors? >> Yes, actually, and that's the greatest part about open source, because, now, the thing is, let's just say there's some issues with AskTanmay, there's some, as you know, this is general open source stuff. But now, Ask Tanmay is really, I guess you could say, evolving much faster than I could ever have programmed it because there are many people coming to me, collaborating with me, helping out, submitting issues, pull requests, and more. And with AskTanmay, especially, now I'm about to release Version 3.0, as well, because I was able to get that help from the community. And, of course, because of that, not only does the community help me, but I am able to help the community by sharing my source code so they can learn from that and build their own QA systems on top of it. >> Awesome, so give us the report card on Bluemix and Watson. And be fair, now, I know you're IBM Champion. >> Yes, now, IBM Bluemix and Watson, I can tell, especially Watson, it has evolved a lot since last InterConnect. Of course, the new services that they're providing, like the Natural Language Understanding service, and more. And really, what I believe, is that not only are they providing these new services, but they're also improving their existing services. Like the Visual Recognition Service, how they're doing the image similarity, how they're improving their default classifier, how they are merging it with the Alchemy Vision services in order to make it even more powerful. And of course, the new, live training features that they're incorporating into visual recognition. How they're improving speech-to-text, and they're generally taking all of these Watson services that already exist and making them even more powerful so developers can really leverage them in their applications. Apart from that, though, IBM Bluemix has been going great, as well, with the new services it provides, especially from SoftLayer. Of course, Bluemix is going great, Watson has been rapidly evolving, as well. >> I notice you've got your IOT Watch on, the Apple iWatch. I bet you've been doing some stuff with IOT. What are some of the wearables you think that are needed right now? Because we had the founder of IndieGoGo on and we know the success of the crowdsourcing is there's a lot of tinkers and inventors out there who now can be up and running, so we're expecting to have a big maker culture growing exponentially around new stuff. So, what do you see that's needed from your generation? Chip implant in the brain? What's going on? >> Well, of course- >> What would you want? >> Well, in terms of, I guess you could say, wearables, there are a lot of different things that people are doing with wearables, including virtual realities. One of the main things that I believe is, I guess you could say, the most trending topic, in terms of wearables, of course watches, we've got glasses now that they're creating, like the Microsoft Hololens. And all of these different products that are focused around basically being able to, I guess you could say, run have these technologies available on your body. On yourself, quite literally. And to make it so easy to use. And really, what I believe is that one of the main things that's really going to power these wearables is AI, artificial intelligence. For example, even the Apple Watch has AI features in it. I mean, all virtual reality is powered by artificial intelligence, as well. And without that, it becomes extremely hard if not impossible for people to code in things like virtual reality. So what I believe is that we need, I guess you could say more adoption to these cognitive technologies. And we need people to adapt to it in their everyday environment, and really accept that it's all around them. And that's it's going to be extremely hard to live without it. Of course, we need to start getting the youth involved in these technologies, for them to be prepared for that future in which cognitive computing is everything, and, in fact, cognitive computing isn't just the future. It's the present, as well. That's why we need to start getting prepared for it. And that's why it's all around us. >> John was joking earlier about you getting your license. You're 14, now, is that right? >> 13, actually, about to be 14 in October. >> OK, right, so soon to be 14. So you'll probably get your license and still be able to drive. In two years we're not going to have totally autonomous vehicles, but- >> John: Maybe 25 years. >> What are your thoughts on that, though? What's the driving age in Canada, 16? >> Yes, I believe 16. >> Yeah, OK, so, you know, 16 years old, it's a symbol of freedom, you know, you get autonomy, and, you know. What's your feeling about maybe the next generation and them inheriting autonomous vehicles and not having, you know, the stick shift to drive, like when we were kids, and we all learned on the stick shift. What do you sense that? What do your colleagues and your other friends say about that? >> Sure, so, now, self-driving cars is something that is already being worked on, heavily, actually. It's a big research topic. Tesla, huge company that's really working towards self-driving cars, autonomous cars. They've already got, like, half of that done. They just have to work on the last half. Of course we've also got Google working on their self-driving cars, and so many other companies who at least aren't creating self-driving cars right now, or most are, actually, starting to work toward self-driving cars, including Uber. In fact, Uber is creating their own self-driving taxis that can take you around the city without you actually having to have a driver. But the thing is, what I believe, is that this AI technology is powerful enough to be able to work with these autonomous vehicles and more. It's just that there are a few, I guess you could say, rough edges that need to be worked out with these technologies, which I believe can be done. It's just a matter of time before we are able to get completely autonomous cars on the road. It's just that there might be a few issues with the ethics of self-driving cars, and that's an entire topic on its own. That would require an entirely separate interview. But, generally, I think autonomous cars, that's a great, great place to go with artificial intelligence, because that could completely eliminate, or at least significantly reduce, the amount of, for example, human error there is in driving. And, of course, get you around traffic faster. And, generally, maybe not even have traffic jams. There's just so many advantages to having autonomous cars. And, of course, that's why cognitive computing is all around us. >> So, AI is hot, IOT is hot. You're hot, you've got a great fan base. We know that from last year. The reaction from our audience was spectacular. >> Tanmay: Thank you. >> You almost won our Cube Madness competition because you retweeted all your followers, or all your YouTube followers. >> Tanmay: Thank you. >> Congratulations, great to see you. Come back on the Cube. >> Thank you, it's great to be on theCube. >> OK, we'll be back with more from theCube Live here in Las Vegas where IBM InterConnect, AI, cognitive computing, collective intelligence, all the data, here on theCube. We'll be right back with more after this short break. Stay with us.

from Las Vegas accepting the signal from the noise it's the queue coverage interconnect 2016 brought to you by IBM now your home John Murray had named a lot day ok welcome back everyone we are here live in Las Vegas for exclusive coverage of IBM interconnect 2016 this is the cube Silicon angles flagship program where we go out to the events and extract the signal annoys I'm John for rhythmic O's Dave a lot a and we're excited to have our youngest guest we've ever had on the Cuban our six-year seventh year doing it 10 Maybach che who's the star of the show coding since age 5 welcome to the cube hello ok so how was the first time you wrote code well actually I was 5 and I started with FoxPro programming on a really old computer forgot who manufactured it in general with my dad's help alright so how do you feel with all these old people around you like us learning back in the old days you're the next generation so how do you feel about all this these sub celebrity status you're famous on YouTube a lot of people love your videos you've been great teacher yeah I love to help people so it feels great yeah was that what was the how many videos have you posted now I have around 80 videos 88 yes all sort of sort of self-help yeah programming here's how to yes sure and and your community is growing I presume yeah is your dad a programmer uh he he does work as a programmer yet uh-huh so is that how you first yes my first got into programming but now sometimes that you can teach my dad programmers do for iOS teaching the teachers ok so when did you surpass your dad in the in the programming really all when the Iowa my first iOS app t-tables which helps you learn multiplication tables was accepted into the iOS App Store and so right after that I started using the Internet as a tool to basically learn programming and at that point I just started learning more and more yeah and you like teaching people too so not only do you develop you also are teaching folks and you like that yes yes all right so when was the last time you push code this morning today kind of clock morning yeah oxi agile a little update for us Tim it allows you to ask another question from the result page I said what's cool about the the current stuff you're seeing here are you playing with Watson at all's Watson integrate actually I use Watson in the latest app that I've developed which I was actually presenting yesterday at the cloud Expo it's called a stem ray and so basically it you can ask it person or organization questions like who is the CEO of IBM and it should be able to answer them and so it does use IBM Watson's api's in this case relationship abstraction and natural language classifier are you using bluemix at all yes absolutely I love what makes it's really easy to use the Watson api's containers and stuff yeah I like it was a developer you feel like the services the richness of the services in bluemix so to satisfy your your general needs and yes what what more would you like to see out of bluemix well mainly out of bluemix nothing that i can think off the top of my head but for watson i really want more sort of api's don't have anything in general in specific that i can think of but more IBM watson api's would be great so you've also done some development for wearables right Apple watch is that right or yes I have developed apps that are actually I have a TGS app it's a number guessing game app for the Apple watch and iPhone on the App Store I also have developed for Mac OS X but I don't have any apps on the App Store for that yet what are you what do you think about the wearables thing is remember when Google glass came out John actually went and got with the first Google glass of your son Alec was wearing it as graduation and but they were sort of you know kind of not they were sort of awkward you know it didn't and people said I don't know you have an apple developer Kate was pretty weak at the time it wasn't coming I thought was a great first version and I love it it's it's sandbox stuff but so what do you what do you think about you know wearables the development environment yeah you encouraged about the future of them do they have a long way to go give us your thoughts on that Tanmay well to begin first of all on the Apple watch I love pretty much the portability of these sorts of devices and there's one more thing but I want sort of like the Apple watch and the Google glass it would be best if there were independent devices instead of connected to your phones they could be sort of like a Mac and an iPhone they can share data with each other but they shouldn't have to depend on each other that's one thing that I'm not too much of a fan of about them so I mean if my inference is that's a form factor related you know you can only do so much on the problem on a watch but do you I mean I know there's a lot going on in Silicon Valley with the future of the way in which we you know communicate I just wonder as a young person right you you've always been had a device like this right you're your disposal but it seems to me that using our thumbs to communicate to these devices is doesn't seem to be the right way asking the AI question yeah so exactly is is the future you know artificial intelligence what do you envision as a as a developer how are we going to communicate with these devices in the future well first of all let me just tell you our computers sort of power is not with natural language it's with math because of our human is better at sort of talking to people like we are right now not at sort of mass or live it would be harder for a human to do math but a computer can do math easier natural language you can't do whatsoever and so first of all in order to program in even asked anime it would take a lot of code and so what I can really think is we the next I don't know how many years it's going to take a long time to get to the sort of really powerful questions answering systems that can answer with a hundred percent accuracy not even hey we could do that so Tama you've been using the internet for outreach and in building a community to teach people than great the next step is you can't be everywhere so you use the internet but what about virtual reality oculus rift have you played with any of this stuff not yet but I plan on soon yes you you enticed by that yes I'm specifically excited about microsoft hololens the virtual Tanmay on the whiteboard you could be everywhere that way all right so what's the coolest language right now for you I mean I see your we heard Swift on stage you did the iOS app water what are some of the cool things well first of all I've developed as Ted may in Python and Java for the backend and HTML for the interface and PHP for the interface and back-end bridge but the most interesting language that I've ever used really is Swift huh first of all second I'd say as a close second is Java because it's portability you create something on Linux and it would almost easily work on Windows and Mac as well Chavez Chavez a good language is good for heavy lifting things yeah how about visualization are you thinking anything about rich media at all and visualization uh I'm I'll get the data you have the Swift absolute the mobile yes visualizing other media techniques with the T with math and with your truth your developer is what are you using for visualization graphics o for graphics well I'm not actually a graphic designer I'm trying to focus all more on the programming side of things but I do develop the user interface for example I actually had another app except to the a few days ago a goal setting app for which I had the same user interface then sort of graphics themselves I don't see usually hardcore fans but use you know the libraries yes 10 May you mentioned the Swift was your favorite language what's so alluring about it from a developer's perspective the syntax is great and it's really powerful which is what I love about Swift so it's easy and and powerful yes exactly so um you from Toronto right um sorry Toronto yeah how we say it right so is there a big developer community there I know there is a growing one but sorry uh well I have I don't really meet with people in person and develop together I'm more of an independent developer right now but I do definitely help people want to one on my youtube channel with really any questions or problems they have if you'd like to see my YouTube channel of course it's called Tim live action I get to answer yes when it's called Tim me back she which is my name yes okay can google it up and you'll find it I teach stuff like computing programming algorithms Watson math and science and so yeah so actually if you like an example a few days ago actually another app called speak for handicap was accepted into the iOS App Store and I developed that with von Clement which is one who is one of my subscribers and so yeah it took us a few months of hard work and we were able to even epic n' speak for handicaps it allows them to essentially speak i'm going to ask you the question so a lot of moment I have four kids to her about your age they are naturally attracted to programming it's fun it's like sports you know it's really fun for them and so that but a lot of them don't know how to way to start you had you were lucky you fell right into it five well you get that a lot of us knows you get a lot of questions on your on your YouTube channel around that you people excited for your next video but for the folks that are now seeing you and want to get in it might be a little scared can you share what you've learned and what advice would you give folks what I recommend is start out slow start doing some stuff in programming don't immediately get into the harder sort of thing start with really simple applications and don't develop when you need to develop you want to essentially programming things randomly for example I learned Swift like pretty much entirely due to the fact that first of all I'm writing a book on it it's for iOS app developers for beginners and also because I would just programming stuff randomly I didn't wait for me to need to programming something or for if I wanted to make an iOS app an order program in something for one day trader prime number checker the mastery number generator stuff like that and so just randomly anything I times it'll create a YouTube video on it to help people you could also use again a YouTube channel as sort of a place to learn programming and so use the internet as resource every developer has to pull those late nights and sometimes you pups to pull an all-nighter have you pulled an all-nighter coding that's not happy about that trouble without stuck he was doing it into the covers but also developers also struggle sometimes on the really hard problem and then the satisfaction of cracking the code or breaking through can you give us an example where you were pulling your hair out you were really focused on the problem you were kind of thrashing through it and you made it through yes actually any I could give you but the one that I remember most is during a Stanley's development at first I was using the multi processing library in Python in order to send multiple queries to relationship extraction at once but then what happened I don't know whether it was a memory management issue or something but after let's say five queries the sixth one will be painfully slow then I tried out the threading library why not and so next after around 10 queries the eleventh one will be painfully slow again I have no idea why then now this was in Python and so what I decided to do was maybe reprogram it for threading in Java and then have Python communicate with Java and so what I did is I learned job I the day because I hadn't ever touched that before because again once you went in programming basics it's really easy to move to another language and slipped in python there actually slipped in general is quite similar to Java except java's a little bit simpler and so yeah I learned drama today the next day I programmed in a simple relationship extraction threading module made a jar out of it and let Python communicate with the jar and so after that the glitch was mostly fixed it was just Python not threading properly or you could never got to the problem I was not able to find out what the problem was but I mean yeah so what kind of machine do you run he's like you driver the car multi-threading you got a lot of processors how many cores what kind of machine do you have on the attack what's your local host mic 27-inch 5k Retina iMac with 64 gigs of RAM and four cores I mean acre yeah four cores than hyper-threaded eight cores until I seven and that's good for you right now yeah you're happy with it yeah how about any external in the cloud any obviously SSD uh I don't actually I do have a wood set of course but then I don't really host anything online yet because I don't have a need for it yet but then what I'm going to make a send me public of course that I'm going to need a quite a powerful server get her to what so the industry needs your help have you thought about rewriting the Linux kernel actually I a few years ago I was I didn't really have anything to do so that's why I started YouTube but before that I actually I was really interested in operating systems i coded my little own with a hello world operating system assembly which could run on I forgot the architecture it runs on but it was quite interesting then again after that my youtube I started to take that more seriously and I didn't really have enough time to do that any projects you're working on now that excite you that you can share with us may be solving the speed of light problem actually mainly right now I've been working on as Tammy but I do have many other applications that I'm working on in an app that could help University students and developers with essentially it's an algorithm lookup if you'd like an algorithm that can help you do path finding for example you just put in path finding as a tag and some other things and then it'll give you a star dice other sort of algorithms and it uses the concept insights service and walks and I've also made a tweak classifier where you can say like let's say there's a hashtag on Twitter where there are two separate sort of things that you could talk about for example to hashtag Swift lang on Twitter at one Swift was open sourced it was there are two different types of people just talk about something general like nothing ever happened or they're talking about open sourcing let's say you wanted to see only news about Swift being open source well then you give Watson some examples of tweets that you like and sweets that you don't like and then eventually it would be able to tell you or give you tweets that you only you like it's a very hydration engine on context yes exactly an easy natural language classifier service so talk about social media I mean here at your age and what you've been through and what you know technically you have a good visit understanding of operating systems coding and all the principles of computer science but as it gets more complicated with social media people are all connected what's your view of the future going to be mean is it if Algrim is gonna solve the problem what do you think about the future how do you think about it 10 years out well first of all the world needs more programmers and I think more sort of algorithms and naturalizers processing are the means were the topics that we're going to focus on later have you ever been a Silicon Valley yes but it's so not not in a developer capacity in sort of visiting it would you like to sort of visit there yeah what does spend time with some of your your colleagues in the heart of development land John's out there your idols Steve Jobs Tim coke Bill Gates how about like I'm a software developer perspective any cult following people you love like some of the early guys coders any names that did pop to mind uh not the optimal might immediate jobs mo are you supposed in the orchestra are you running the orchestra he was a good product guy so if you can invent the product right now on the queue but would it be it would be mostly iron wrong sort of a QA system with almost a hundred percent accuracy that would be best in I state we have a hologram right here we have guests interface with us that would be cool how about that huh you are would you like to come to work for us and develop that we'd love to have you I like congratulate you on being the youngest ever cube alum we have this little community of cube you know alumni and you are the youngest ever so congratulations really fantastic a very impressive you know young man and really very separate you to all and congratulations thank thank you come on the Q things with spending the time this is the cube bringing you all the action here handmade doing some great stuff he's very young very fluent understands thread and understands coding and this is the future in a born in born in code that's that that's the future developers and we hope to see more great software developers come on the market the day to the analytics of course Watson's right there with you along the way things we come on the cube appreciate we right back with more cube coverage here exclusive coverage at IBM interconnect 2016 I'm John for what David love they be right back

Las Vegas expensing the signal from the noise it's the cue interconnect 2016 brought to you by IBM we are here live in Las Vegas for exclusive coverage of IBM interconnect 2016 this is the cube Silicon angles flagship program where we go out to the events and extract the signal annoys I'm John four is my close Dave a lot a and we're excited to have our youngest guest we've ever had on the Cuban our six-year seventh year doing it ten Maybach che who's the star of the show coding since age five welcome to the cube well actually I was five and I started with Foxborough programming a really old computer forgot who manufactured it in general with my dad's help alright so how do you feel with all these old people around you like us you're the next generation so how do you feel about all this these sub celebrity status you're famous on YouTube a lot of people love your videos you've been great teacher yeah I love to help people so it feels great yeah was that what was the how many videos have you posted now I have around 80 videos 88 it's all sort of sort of self-help programming here's how to and and your community is growing I presume is your dad a programmer he does work as a programmer yes uh-huh so is that how you first first got into programming but now sometimes that you can teach my dad for teaching the teachers okay when did you surpass your dad in in the programming really when Iowa my first iOS app t-tables which helps you learn multiplication tables I was accepted into the iOS App Store and so right after that I started using the Internet as a tool to basically learn programming and at that point I just started learning more and more yeah and you like teaching people too so not only do you develop you also teaching folks and you'd like that yes yes all right so when was the last time you push code this morning today a little update for us to admit allows you to ask another question from the result page what's cool about the the current stuff you're seeing here are you playing with Watson at all Watson integrate actually I use Watson in the latest app that I've developed which I was actually presenting yesterday at the cloud Expo it's called a stamina and so basically it you can ask it person or organization questions like who is the CEO of IBM and it should be able to answer them and so it does use IBM Watson's api's in this case relationship extraction and natural language classifier are you using bluemix at all yes I love what makes it's really easy to use the Watson api's containers and so I like it was a developer you feel like the services the richness of the services in bluemix so to satisfy your your general needs and yes what what more would you like to see out of bluemix well mainly out of bluemix nothing that I can think off the top of my head but for Watson I really want more sort of api's don't have anything in general in specific that I can think of more IBM Watson api's would be great so you've also done some development for wearables right Apple watch is that right yes I have developed apps that are actually I have a to guess up it's a number guessing game app for the Apple watch and iPhone on the App Store I also have developed for Mac OS X but I don't have any apps on the App Store for that yet what are you what do you think about the wearables thing is remember when Google glass came out John actually went and got one of the first Google glass your son Alec was wearing at his graduation and but they were sort of you know kind of not they were sort of awkward you know didn't and people said have an Apple Developer Kit was pretty weak at the time there was something coming I thought was a great first version and I loved it it's it's sandbox stuff but so what do you what do you think about you know wearables the development environment yeah you encouraged about the future of them do they have a long way to go give us your thoughts on that Tanmay well we getting first of all on the Apple watch I love pretty much the portability of these sorts of devices and there's one more one thing that I sort of like the Apple watch and the Google glass it would be best if there were independent devices instead of connected to air phones they could be sort of like a Mac and an iPhone they can share data with each other but they shouldn't have to depend on each other that's one thing that I'm not too much of a fan of about them so I mean if my inference is that's a form factor related you know you can only do so much on this but do you I mean I know there's a lot going on in Silicon Valley with the future of the way in which we you know communicate I just wonder as a young person right you you've always been had a device like this right you're your disposal but it seems to me that using our thumbs to communicate to these devices is doesn't seem to be the right way it's asking the AI question yeah so exactly is is the future you know artificial intelligence what do you envision as a as a developer how are we going to communicate with these devices in the future first of all let me just tell you our computers sort of power is not with natural language it's with math because of human is better at sort of talking to people like we're right now not at sort of mass or it would be harder for a human to do math but a computer can do math easier natural language you can't do whatsoever and so first of all in order to program in even a Stanley it would take a lot of code and so what I can really think of is we for the next I don't know how many years it's going to take a long time to get through the sort of really powerful question of answering systems that can answer with a hundred percent accuracy not even here we could do that so Timmy you've been using the internet for outreach and in building a community to teach people then great the next step is you can't be everywhere so you use the internet but what about virtual reality oculus rift have you played with any of this stuff no yet but I plan on soon yes you enticed by that yes specifically excited about microsoft hololens virtual Tanmay you could be everywhere that way all right so what's the coolest language right now for you I mean I see your we heard Swift on stage you did the iOS app order what are some of the cool things as Ted made in Python and Java for the backend and HTML for the interface and PHP for the interface and back-end bridge but the most interesting language that I've ever used really is Swift first of all second I'd say as a close second is Java because it's portability you create something on Linux and it would almost easily work on the Windows and Mac as well this job is a good language for heavy lifting things how about a visualization are you thinking anything about rich media at all and visualization you have the swift absolute the mobile yes visualizing other media techniques with the T with math and with your truth your developers what are you using for visualization graphics for graphics I'm not actually a graphic designer I'm trying to focus more on the programming side of things but I do develop the user interface for example I actually had another app except of the a few days ago a goal setting app for which I had to write inside the user interface the sort of graphics themselves I don't but you know the libraries it's 10 May you mentioned the Swift is your favorite language what's so alluring about it from a developer's perspective this syntax is great and it's really powerful which is what I love about Swift so it's easy and and powerful yes exactly so you from Toronto right I'm sorry Toronto yes we say it right so is there a big developer community there I know there was a growing one but I don't really meet with people in person and develop together I'm more of an independent developer right now but I do definitely help people want to want on my youtube channel with really any questions or problems they have and if you'd like to see my youtube channel of course it's called team live actually get to it sir yes mine it's called Timmy Bakshi which is my name yes okay can google it up and you'll find it I teach stuff like computing programming algorithms Watson math and science and so yeah so actually if you like an example a few days ago actually another app called speak for handicap is accepted into the iOS App Store and I developed that with Vaughn Clement which is one who is one of my subscribers and so yeah it took us a few months of hard work and we were even that up again speak for handicaps it allows them to actually speak I'm gonna ask you the question so a lot of moma I have four kids - or about your age they are naturally attracted to programming it's fun it's like sports you know it's really fun for them and so that but a lot of them don't know how to wait a start you had you were lucky you fell right into it five what you get that a lot of ice knows you get a lot of questions on your on your YouTube channel around that you people excited for your next video but for the folks that are now seeing you and want to get in it might be a little scared can you share what you've learned and what advice would you give what I recommend is start out slow start doing some stuff in programming don't immediately get into the harder sort of thing start with really simple applications and don't develop when you need to develop you want to essentially programming things randomly for example I learned Swift like pretty much entirely due to the fact that first of all I'm writing a book on it it's for iOS app developers for beginners and also because I would just program in stuff randomly I didn't wait for me to need to programming something or for if I wanted to make an iOS app in order program and something it's one thing I trained a prime number checker the mastery number generator stuff like that and so just randomly anything I sometimes you look really YouTube video on it to help people you could also use again any YouTube channel as sort of a place to learn programming and so use resource every developer has to pull those late nights and sometimes you to pup to pull an all-nighter have you pulled an all-nighter code he was doing it into the covers but also developers also struggle sometimes on a really hard problem and then the satisfaction of cracking the code or breaking through can you give us an example where you were pulling your hair out you were really focused on the problem you were kind of thrashing through it and you made it through this actually many I could give you but the one that I remember most is during a Stanley's development at first I was using the multi processing library in Python in order to send multiple queries to relationship extraction at once but then what happened I don't know whether it was a memory management issue or something but after let's say five queries the sixth one would be painfully slow then I tried out the threading library why not and so next after around 10 queries the 11th one will be painfully slow again I have no idea why then now this was a Python and so what I decided to do was maybe reprogram it for threading in Java and then have Python communicate with Java and so what I did is I learned job I the day because I hadn't ever touched that before because again once you wanted programming basics it's really easy to move to another language and flipped and python there actually slipped in general is quite similar to Java except Java a little bit simpler and so yeah I learned drama a day the next day I programmed in a simple release abstraction threading module made a jar out of it and let Python communicate with the jar and so after that the glitch was mostly fixed it was just Python not threading properly or you could never got through the problem I was not able to find out what the problem was but I mean yeah so what kind of machine do you run it's like driving this car multi-threading you got a lot of processes how many cores what kind of machine you have on the advance your local host 27-inch 5k Retina iMac with 64 gigs of ram and 4 cores I mean 8 yeah 4 cores than hyper-threaded 8 cores until I seven and that's good for you right now yeah you're happy with it how about any external in the cloud any obviously SSD I don't actually I do have a wood set of course but then I don't really host anything online yet because I don't have a need for it yet but then what I'm going to make a semi-public of course I'm going to need a quite a powerful server you know her too so the industry needs your help have you thought about rewriting the Linux kernel years ago I was I didn't really have anything to do so that's why I started YouTube but before that I actually I was really interested in the operating systems I coated my little own with a hello world operating system assembly which could run on I forgot the architecture it runs on but it was quite interesting for them again after that my youtube I started to take that more seriously and I didn't really have enough time to do that any projects you're working on now that excite you that you can share with us maybe solving the speed of light problem or actually mainly right now I've been working on a STEMI but I do have many other applications that I'm working on including an app that could help University students and developers with essentially it's an algorithm lookup if you'd like an algorithm that can help you do path finding for example you just put in a path finding as a tag and some other things and then it'll give you a charred I sort of algorithms and it uses the concept insights service and walks and I've also made a tweet classifier where you can say like let's say there's a hashtag on Twitter where there are two separate sort of things that you could talk about for example the hashtag Swift laying on Twitter at one Swift was open sourced it was there are two different types of people just talk about soup in general like nothing ever happened or they're talking about open sourcing let's say you wanted to see only news about Swift being open source well then you give Watson some examples of tweets that you like and sweets that you don't like and then eventually it would be able to tell you or give you tweets that the only way you like variation in Jinan yes exactly and it uses the natural language classifier service so talk about social media I mean here at your age and what you've been through and what you know technically you have a good visit understanding of operating systems coding and all the principles of computer science but as it gets more complicated with social media people are all connected what's your view of the future going to be I mean is it if algorithm's gonna solve the problem what do you think about the future how do you think about it ten years out well first of all the world needs more programmers and I think more sort of algorithms and natural language processing are the means were the topics that we're going to focus on later have you ever been a Silicon Valley not not in a developer capacity just sort of visiting it would you like to sort of visit there spend time with some of your your colleagues in the heart of development John's out there your idols Steve Jobs Tim Cook Bill Gates how about like from a software developer perspective any cult following people you love like the early guys coders any names that did pop to mind jobs he was a good product guy so if you can invent the product right now on the cube what would it be it would be mostly iron wrong sort of a QA system with almost a hundred percent accuracy that would be best in 98 we have a hologram right here we have guests interface with us that would be cool would you like to come to work for us and develop that we'd love to have you I like congratulate you on being the youngest ever cube alum we have this community of cube you know alumni and you are the youngest ever so congratulations fantastic a very impressive you know young man and really very summery quadrants break you to all and congratulations thank thanks come on the cute things are spending the time this is the cute bringing you all the action here ten may doing some great stuff he's very young very fluent understands thread and understands coding and this is the future you know born in born in code that's that that's the future developers and we hope to see more great software developers come on the market the day to the analytics of course Watson is right there with you along the way thanks for coming on the queue preciate we right back with more cube coverage here exclusive coverage at IBM interconnect 2016 I'm John for what Dave a lot they'd be right back

(upbeat music) >> Covering InterConnect 2017, brought to you by IBM. >> Welcome back. We're here live in Las Vegas from Mandalay Bay for the IBM InterConnect 2017, this is Cube's exclusive coverage with SiliconANGLE media. I'm John Furrier, my co-host Dave Vellante here all week. We missed our kickoff this morning on day two and, because the keynotes went long with Ginni Rometty. Great star line up, you had Marc Benioff, the CEO of AT&T, and CEO of H&R Block, which I love their ad with Mad Men's guy in there. Dave let's wrap up day two. Big day, I mean traffic on the digital site, ibmgo.com was off the charts and the site just performed extremely well, excited about that. Also the keynote from the CEO of IBM, Ginni, really kind of brings us themes we've been talking about on theCUBE. I want to get your reaction to that, which is social good is now a purpose that's now becoming a generational theme, and it's not just social good in terms of equality of pay for women, which is great and of course more STEM, it's everything, it's society's global impact but also the tagline is very tight. Enterprise strong, has a Boston strong feeling to it. Enterprise strong, data first, cognitive to the core, pretty much hits their sweet spot. What did you think of her keynote presentation? >> I thought Ginni Rometty nailed it. I've always been a huge fan of hers, I first met her when she was running strategy, and you know the question you used to always get because IBM 19 quarters of straight declining revenue, how long is Ginni going to get? How long is Ginni going to get? You know when is her tenure going to be up? My answer's always been the same. (laughs) Long enough to prove that she was right. And I think, I just love her presentation today, I thought she was on, she was engaging, she's a real pro and she stressed the innovation that IBM is going through. And this was the strategy that she laid out, you know, five, six years ago and it's really coming to fruition and it was always interesting to me that she never spoke at these conferences and she didn't speak at these conferences 'cause the story was not great you know, it was coming together the big data piece or the analyst piece was not formed yet. >> So you think she didn't come to these events because the story wasn't done? >> Yeah, I think she was not-- >> That is not a fact, you believe that. >> No, this is my belief. She was not ready to showcase you know, the greatness of IBM and I said about a year ago, I said you watch this whole strategy is coming together. You are going to see a lot more of Ginni Rometty than you've seen in the past. You started to see her on CNBC much more, we saw her at the Women in Tech Conference, at the Grace Hopper Conference, we saw her at World of Watson and now we see her here at InterConnect and she's very good on stage. She's extremely engaging, I thought she was good at World of Watson, I thought she was even better today. And a couple of notable things, took a swipe at both AWS and maybe a little bit at HPE, I'm not so sure that they worry about HPE. Sam Palmisano, before he left on a Wall Street Journal interview, said "I don't worry about HPE, they don't invest in RND. "I worry about Oracle." But nonetheless, she said, it's not just a new way, cloud is not just a new way to deliver IT. Right that's the Amazon you know. >> HP. >> And certainly new way of you style by IT. >> You style by IT. >> Is Meg's line. She also took a swipe at Google basically saying, look we're not taking your data to inform some knowledge draft that we're going to take your IP and give it to the rest of the world. We're going to protect your data, we're going to protect your models. They're really making a strong statement in that regard which I think is really important for CIOs and CDOs and CEOs today. Thoughts? >> I agree. I first of all am a big fan of Ginni, I always kind of question whether she came in, I never put it together like you intuitively around her not seeing the story but you go to all the analyists thing, so I think that's legit I would say that I would buy that argument. Here's what I like. Her soundbite is enterprise strong, data first, cognitive to the core. It's kind of gimmicky, but it hits all their points. Enterprise strong is core in the conversations with customers right now. We see it in theCUBE all the time. Certainly Google Nexus was one event we saw this clearly. Having enterprise readiness is not easy and so that's a really tough code to crack. Oracle and Microsoft have cracked that code. So has IBM of the history. Amazon is getting faster to the Enterprise, some of the things they are doing. Google has no clue on the Enterprise, they're trying to do it their way. So you have kind of different dimensions. So that's the Enterprise, very hard to do, table stakes are different than having pure cloud native all the time 100%, lift and shift, rip and replace, whatever you want to call it. Data First is compelling because they have a core data strategy analytics but I thought it was interesting that they had this notion of you own your own data, which implies you're renting everything else, so if you're renting everything else, infrastructure (laughs) and facilities and reducing the cost of doing business, the only thing you really got is data, highlighted by Blockchain. So Blockchain becomes a critical announcement there. Again, that was the key announcement here at the show is Blockchain. IOT kind of a sub-text to the whole show but it's supported through the Data First. And finally Cognitive to the Core is where the AI is going to kind of be the shiny, silly marketing piece with I am Watson, I'm going to solve all your health problems. Kind of showing the futuristic aspect of that but under the hood there is machine learning, under that is a real analytics algorithms that they're going to integrate across their business whether it's a line of business in verticals, and they're going to cross pollinate data. So I think those three pillars, she is a genius (laughs) in strategy 'cause she can hit all three. What I just said is a chockfull of strategy and a chockfull execution. If they can do that then they will have a great run. >> So I go back to Palmisano's statement before Ginni took over and it was a very candid interview that he gave. And as they say, you look at when he left IBM, it was this next wave was coming like a freight train that was going to completely disrupt IBM's business, so it was, it's been a long turn around and they've done it with sort of tax rates, (laughs) stock buybacks, and all kinds of financial engineering that have held the company's stock price up, (laughs) and cash flow has been very strong and so now I really believe they're in a good position. You know to get critical for just a second, yes there's no growth but look who else isn't growing. HPE's not growing, Oracle's not growing, Tennsco's not growing, Cisco's not growing, Microsoft's not growing. The only two companies really in the cartel that are growing showing any growth really are Intel a little bit and SAP. The rest of the cartel is flat (laughs) to down. >> Well they got to get on new markets and I mean the thing is new market penetration is interesting so Blockchain could be an enabler. I think it's going to be some resistance to Blockchain, my gut tells me that but the innovative entrepreneur side of me says I love Blockchain. I would be all over Blockchain if I was an entrepreneur because that really would change the game on identity and value and all that great stuff. That's a good opportunity to take the data in. >> Well the thing I like is IBM's making bets, big bets, Blockchain, quantum computing, we'll see where that goes, cloud, clearly we could talk about, you know you said it (laughs) InterConnect two or three years ago you know SoftLayer's kind of hosting. True, but Blu makes the investments hoping-- >> SoftLayer's is not all Blu makes. >> That's right, well yeah so but any rate, the two billion dollar bet that they made on SoftLayer has allowed them to go to clients and say we have cloud. Watson, NAI, Analytics, IOT these are big bets which I think are going to pay off. You know, we'll see if quantum pays off in the year term, we'll see about Blockchain, I think a lot of the bets they've been making are going to pay off, Stark, et cetera. >> So let's talk about theCUBE interviews Dave, what got your attention? I'll start while you dig up something good from your notes. I loved Willie Tejada talked about this, they're putting in these clouds journey pieces which is not a best practice it's not a reference architecture but it's actually showing the use cases of people who are taking a cross functional journey of architecture and cloud solutions. I love the quantum computing conversation we had with believe it or not the tape person. And so from the tape whatever it was, GS. >> GS8000. >> GS8000. >> It's a storage engineering team. >> But in terms of key points, modernizing IOT relevance was a theme that popped out at me. It didn't come out directly. You start to see IOT be a proof point of operationalizing data. Let me explain, IOT right now is out there. People are focused on it because it's got real business impact, because it's either facilities, it's industrial or customer connected in some sort. That puts the pressure to operationalize that data, and I think that flushes out all the cloud washing and all the data washing, people who don't have any solutions there. So I think the operationalizing of the data with IOT is going to force people to come out with real solutions. And if you don't, you're gone, so that's, you're dead. The cultural issue is interesting. Trust as now table stakes in the equation of whether it's product trusts, operational trusts, and process trusts. That's something I saw very clearly. And of course I always get excited about DevOps and cloud native, as you know. And some of the stuff we did with data as an asset from the chief data architect. >> A couple I would add from yesterday, Indiegogo who I thought had a great case study, and then Mohammed Farooq, talking about cloud brokering. 60% of IBM's business is still services. Services is very very important. And I think that when I look at IBM's big challenge, to me, John, it's when you take that deep industry expertise that they have that competes with Accenture and ENY and Deloitte and PWC. Can you take that deep industry expertise and codify it in software and transform into a more software-oriented company? That's what IBM's doing, trying to do anyway, and challenging. To me it's all about differentiation. IBM has a substantially differentiated cloud strategy that allows them not to have to go head to head with Amazon, even though Amazon is a huge factor. And the last thing I want to say is, it's what IBM calls the clients. It's the customers. They have a logo slide, they bring up the CEOs of these companies, and it's very very impressive, almost in the same way that Amazon does at its conferences. They bring up great customers. IBM brings in the C-Suite. They're hugging Ginni. You know, it was a hug fest today. Betty up on stage. It was a pretty impressive lineup of partners and customers. >> I didn't know AT&T and IBM were that close. That was a surprise for me. And seeing the CEO of AT&T up there really tees it out. And I think AT&T's interesting, and Mobile World Congress, one of the things that we covered at that event was the over the top Telco guys got to get their act together, and that's clear that 5G and wireless over the top is going to power the sensors everywhere. So the IOT on cars, for instance, and life, is going to be a great opportunity for, but Telco has to finally get a business model. So it's interesting to see his view of digital services from a Telco standpoint. The question I have for AT&T is, are they going to be dumped pipes or are they actually going to move up the stand and add value? Interesting to see who's the master in that relationship. IBM with cognitive, or AT&T with the pipes. >> And, you know, you're in Silicon Valley so you hear all the talk from the Silicon Valley elites. "Oh well, Apple and Amazon "and Google and Facebook, "much better AI than Watson." I don't know, maybe. But IBM's messaging-- >> Yes. >> Okay, so yes, fine. But IBM's messaging and positioning in the enterprise to apply their deep industry knowledge and bring services to bear and solve real problems, and protect the data and protect the models. That is so differentiable, and that is a winning strategy. >> Yeah but Dave, everyone who's doing-- >> Despite the technical. >> Anyone who's doing serious AI attempts, first of all, this whole bastardized definition. It's really machine learning that's driving it and data. Anyone who's doing any serious direction to AI is using machine learning and writing their own code. They're doing it on their own before they go to Watson. So Watson is not super baked when it comes to AI. So what I would say is, Watson has libraries and things that could augment traditional custom-built AI as a kernel. Our 13-year-old guest Tanmay was on. He's doing his own customizing, then bring it to Watson. So I don't see Watson being a mutually exclusive, Watson or nothing else. Watson right now has a lot of things that adds to the value but it's not the Holy Grail for all things AI, in my opinion. The innovation's going to come from the outside and meet up with Watson. That to me is the formula. >> Going back to Mohammed Farooq yesterday, he made the statement, roughly, don't quote me on these numbers, I'll quote myself, for every dollar spent on technology, 10 dollars are going to be spent on services. That's a huge opportunity for IBM, and that's where they're going to make Watson work. >> If I'm IBM and Watson team, and I'm an executive there and engineering lead, I'm like, look it, what I would do is target the fusion aspect of connecting with their customers data. And I think that's what they're kind of teasing out. I don't know if they're completely saying that, but I want to bring my own machine learning to the table, or my own custom stuff, 'cause it's my solution. If Watson can connect with that and handshake with the data, then you got the governance problem solved. So I think Seth, the CDO, is kind of connecting the dots there, and I think that's still unknown, but that's the direction that I see. >> And services, it remains critical because of the complexity of IBM's portfolio, but complexity has always been the friend of services. But at the same time, IBM's going to transform its services business and become more software-like, and that is the winning formula. At the end of the day, from a financial perspective, to me it's cash flow, cash flow, cash flow. And this company is still a cash flow cow. >> So the other thing that surprised me, and this is something we can kind of end the segment on is, IBM just reorganized. So that's been reported. The games, people shift it a little bit, but it's still the same game. They kind of consolidated the messaging a little bit, but I think the proof point is that the traffic for on the digital side, for this show, is 2X World of Watson. The lines to get into keynotes yesterday and today were massive. So there's more interest in InterConnect than World of Watson. >> Well we just did. >> Amazing, isn't it? >> Well then that was a huge show, so what that means is, this is hitting an interest point. Cloud and data coming together. And again, I said it on the intro yesterday. IOT is the forcing function. That to me is bringing the big data world. We just had Strata Hadoop and R event at BigDataSV. That's not Hadoop anymore, it's data and cloud coming together. And that's going to be hitting IOT and this cognitive piece. So I think certainly it's going to accelerate at IBM. >> And IBM's bringing some outside talent. Look at Harry Green who came from Thomas Cook, Michelle Peluso. Marketing chops. They sort of shuffled the deck with some of their larger businesses. Put Arvind Krishna in charge. Brought in David Kenny from the Weather Company. Moved Bob Picciano to the cognitive systems business. So as you say, shuffle things around. Still a lot of the same players, but sometimes the organization-- >> By the way, we forgot to talk about Don Tapscott who came on, my favorite of the day. >> Another highlight. >> Blockchain Revolution, but we interviewed him. Check out his book, Blockchain can be great. Tomorrow we got a big lineup as well. We're going to have some great interviews all day, going right up to 5:30 tomorrow for day three coverage. This is theCUBE, here at the Mandalay Bay for IBM InterConnect 2017. I'm John Furrier and Dave Vellante. Stay with us, join us tomorrow, Wednesday, for our third day of exclusive coverage of IBM InterConnect 2017, thanks for watching.

>> 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.