Live from Munich, Germany, it's theCUBE.  We're back, this is Dave Vellante with Jim Kobielus, and this is theCUBE, the leader in live tech coverage. We go out to the events, we extract the signal from the noise. We are here covering special presentation of IBM's Fast Track Your Data, and we're in Munich, Germany. It's been a day long session. We started this morning with a panel discussion with five senior level data scientists that Jim and I hosted. Then we did CUBE interviews in the morning. We cut away to the main tent. Kate Silverton did a very choreographed scripted, but very well done, main keynote set of presentations. IBM made a couple of announcements today, and then we finished up the CUBE interviews. Jim and I are here to rap. We're actually running on ibmgo.com. We're running live Hillary Mason, talking about what she's doing in data science. And also, we got a session on GDPR. You got to log in to see those sessions. So go ahead to ibmgo.com and you'll find those, hit the schedule and go to the Hillary Mason and GDPR channels and check that out. But we're going to wrap now. Jim, two main announcements today.    I'll explain that one. But they're not game-changing. So what did you mean? Well, first of all, when you look at most, the IBM is not calling this a signature event. It's essentially a signature event. They do these every June or so. You know, in the past several years, the signature events have had like a one track theme, whether it be IBM announcing their investing deeply in Spark or IBM announcing that they're focusing on, investing on R as the core language for data science development. This year at this event in Munich, it's really a three track event in terms of the broad themes. And none, I mean, they're all important tracks, but none of them is like game-changing. Perhaps IBM doesn't intend them to be. It seems like one of which is obviously Europe. We're holding this in Munich and a couple of things of importance to European customers. First and foremost, GDPR, the deadline next year, in terms of compliance is approaching. So sound, the alarm as it were, and IBM has rolled out compliance or governance tools, download and go for the information catalog, governance catalog and so forth. Now announcing the consortium with Hortonworks to build governance on top of Apache Atlas. But also IBM announcing that they've opened up a DSX center in England and a machine learning hub here in Germany to help their European clients in those countries, especially to get deeper down into data science and machine learning in terms of developing those applications. That's important for the audience, the regional audience here. The second track, which is also important and I alluded to it, it's governance. In all of its manifestations, you need a master catalog of all the assets for building and maintaining and controlling your data applications and your data science applications. The catalog, the consortium of the various offerings that IBM has announced and discussed in great detail that they've brought in customers and partners like Northern Trust to talk about the importance of governance, not just as a compliance mandate, but also as a potential strategy for monetizing your data. That's important. Number three is what I call cloud native data applications and how the state of the art in developing data applications is moving towards containerized and orchestrated environments that involve things like Docker and Kubernetes. The IBM DB2 developer community edition has been on the market for a few years. The latest version they announced today includes Kubernetes support, support for JSON, so it's geared towards the new generation of cloud native apps. What I'm getting at is there are three, those three core themes are Europe, governance and cloud native data application development. Each of them is individually important, but none of them is a game changer. And one last thing, data science and machine learning is one of the overarching envelope themes of this event. They've had Hilary Mason, a lot of discussion there. My sense, I was a little bit disappointed that there wasn't any significant new announcements related to IBM evolving their machine learning portfolio into deep learning for artificial intelligence in an environment where their direct competitors like Microsoft and Google and Amazon are making a huge push in AI in terms of their investments. There's a bit of a discussion and Rob Thomas got to it this morning about DSX working with Power AI of the IBM platform. We'd like to hear more going forward about IBM investments in these areas. So I thought it was an interesting bunch of announcements. I'll backtrack on perfunctory. I'll just say it was good that they had this for a lot of reasons, but like I said, none of these individual announcements is really changing the game. In fact, like I said, I think I'm waiting for the fall to see where IBM goes in terms of doing something that's actually differentiating and innovative. Well, I think that the event itself is great.  IBM knows how to throw a party. They always have. And the sessions were really individually awesome. I mean, in terms of what you learn. The content is very good. I would agree. The two announcements that they made was sort of, you know, DB2, sort of what I call community edition, simpler, easy to download. Even Dave can download DB2. I really don't want to download DB2, but I could. And play with it, I guess.  And the other one was this sort of unified data governance. They tried to tie it in. I think they actually did a really good job of tying it into GDPR. We're going to hear over the next 11 months just a ton of GDPR readiness, fear, uncertainty, and doubt from the vendor community. Kind of like we heard with Y2K. Yeah. We'll see what kind of impact GDPR has.   The penalties are much more onerous than any other sort of, you know, regulation that we've seen in the past where you could just sort of fluff it up. Say, ah, just pay the fine. I think you're going to see a lot of, well, pay the lawyers to delay this thing and battle it. And one of our people on theCUBE that we interviewed said it exactly right. GDPR is like the inverse of Y2K. Where Y2K, everybody was freaking out. It was actually nothing when it came down to it. Where nobody on the street is really buzzing, I mean, the average person is not buzzing about GDPR, but it's hugely important. And like you said, I mean, some serious penalties may be in the works for companies that are not complying. Companies not just in Europe, but all around the world who do business with European customers. Right, okay. So now, bring it back to sort of machine learning, deep learning, you basically said to Rob Thomas, I see machine learning here. I don't see a lot of the deep learning stuff quite yet. He said, stay tuned. You know, you were talking about TensorFlow and things like that. Yeah, they supported that, you know, Rob said, yeah, so Rob indicated that IBM very much, like with Power, AI and DSX provides an open framework or toolkit for plugging in your, you, the developers preferred machine learning or deep learning toolkit of an open source nature. And there's a growing range of open source, deep learning toolkits beyond, you know, TensorFlow, including Fiano and MXNet and so forth. That IBM is supporting within the overall DSX framework, but also within the Power AI framework. In other words, they've got those capabilities. They're sort of burying that message under a bushel basket, at least in terms of this event. Also, one of the things that I said this to Manish Goyal is that Watson Data Platform, which they launched last fall, very important product, very important platform for collaboration among data science professionals in terms of the machine learning development pipeline. I wish there was more about Watson Data Platform here about where they're taking it and what the customers are doing with it. Like I said a couple of times, I see Watson Data Platform as very much a DevOps tool for the new generation of developers that are building machine learning models directly into their applications. I'd like to see IBM going forward, turn Watson Data Platform into a true DevOps platform in terms of continuous integration of machine learning and deep learning and other statistical models, continuous training, continuous deployment, iteration. I believe that's where they're going or probably will be going. I'd like to see more, I'm expecting more along those lines going forward. And that's what I just described about DevOps for Data Science, is a big theme that we're focusing on at Wikibon in terms of where the industry's going. Yeah, and I want to come back to that and get an update on what you're doing and your team and talk about the research. Before we do that, I mean, one of the things we talked about on theCUBE in the early days of Hadoop is that the guys are going to make the money in this big data business of the practitioners. They're not going to see these multi, 100 billion dollar valuations come out of the Dupe world. And so far, that prediction has held up well. It's the Airbnb's and the Uber's and the Spotify's and the Facebook's and the Googles, the practitioners who are applying big data that are crushing it and making all the money. And you see Amazon now buying Whole Foods, that in our view is a data play. But who's winning here in either the vendor or the practitioner community? Who's winning are the startups with a hot new idea that's changing, that's disrupting some industry or set of industries with machine learning, deep learning, big data, et cetera. So if you're, for example, everybody's with beta breadth waiting for self-driving vehicles and that ecosystem as it develops, somebody's going to clean up one or more companies, companies we probably never heard of. Leveraging everything we're describing here today, DevOps for data science and containerized, distributed applications that involve deep learning for image analysis and sensor analytics and so forth, putting it all together in some new fabric that changes the way we live on this planet. But as you said, the platforms themselves, whether they be Hadoop or Spark or TensorFlow, they're open source. And the fact is, by this very nature, open source based solutions in terms of the profit margins on selling those, inexorably migrate to zero. So you're not going to make any money as a tool vendor or a platform vendor. You got to make money, if you're going to make money, you make money, for example, providing an ecosystem within which innovation can happen. Okay, let's get a few minutes left. Let's talk about the research that you're working on. What's exciting you these days? And what have you got going? So I think a lot of people know I've been around the analyst space for a long, long time. I've joined the Silicon Angle Wikibon team just recently. I used to work for a very large solution provider. And what I do here for Wikibon is I focus on data science as the core of next generation application development. When I say next generation application development, it's the development of AI, deep learning, machine learning, and the deployment of those data-driven statistical assets into all manner of applications. And you look at the hot stuff like chat bots, for example, transforming the experience in e-commerce, on mobile devices, Siri, and Alexa, and so forth. Hugely important. So what we're doing is we're focusing on AI and everything. We're focusing on containerization and building of microservices, AI microservices, and the ecosystem of the pipelines and the tools that allow you to do that. DevOps for data science, distributed training, federated training of statistical models, so forth. We are also very much focusing on the whole distributed containerized ecosystem, Docker, Kubernetes, and so forth. Where that's going in terms of changing the state of the art in terms of application development. We're focusing on the API economy. All of those things that you need to wrap around the payload of AI to make it, to deliver it into every fabric. You're focused on that intersection between AI and the related topics in the developer community. Who is winning in that developer community? Obviously Amazon's winning. You've got Microsoft doing a good job there. Google, Apple, who else? I mean, how's IBM doing, for example? Maybe name some names. Who impresses you in the developer community? But specifically, let's start with IBM. How is IBM doing in that space? IBM's doing really well. I mean, in terms of, IBM has been for quite a while been very good about engaging with the new generation of developers using Spark and R and Hadoop and so forth. To build applications rapidly and deploy them rapidly into all manner of applications. So IBM has very much reached out to in the last several years the millennials for whom all of these new tools have been their core repertoire from the very start. And I think in many ways, like today, like developer edition, the DB2 developer community edition is very much geared to that market. Saying to the cloud native application developer, take a second look at DB2. There's a lot in DB2 that you might bring into your next application development initiative alongside your Spark toolkit and so forth. So IBM has startup envy. They're a big, old company, been around for more than 100 years. And they're trying to very much bootstrap and restart their brand in this new context for the 21st century. I think they're making a good effort at doing it. In terms of community engagement, they have a really good community engagement program all around the world in terms of hackathons and developer days, meetups here and there. And they get lots of turnout and very loyal customers. And IBM's got the broadest portfolios.  So I got to squeeze it out of you now. So let me ask you, let me push a little bit on what you're saying. So DB2 is the emphasis here, trying to make position DB2 as appealing for developers, but why not some of the other acquisitions that they've made? I mean, you don't hear that much about Cloudant and DashDB and things of that nature. You would think that that would be more appealing to some of the developer communities than DB2. Or am I mistaken? Is it IBM sort of going after the core, trying to evolve that core constituency? No, they've done a lot of strategic acquisitions like Cloudant and like they've acquired the graph databases and brought them into their platform. IBM has every type of database or distributed file system that you might need for web or social or internet of things and so forth. All of the development challenges, IBM's got a really high quality fit to purpose, best of breed platform, underlying data platform for it. They've got huge amounts of developers energized all around the world and working on those platforms. DB2, in the last several years, they've taken all of their legacy, that's the wrong word, all their existing mature platforms like DB2 and brought them into the IBM Cloud. I think the legacy's the right word. Yeah, these things have been around for 30 years. And they're not going away because they're field proven and they're customers have implemented them everywhere and they're evolving. If you look at how IBM has evolved DB2 in the last several years into, for example, they responded to the challenge from SAP HANA when brought blue acceleration technology and memory technology into DB2 to make it scrimmingly fast and so forth. IBM has done a really good job of turning around these product groups and the product architectures, making them cloud first and then reaching out to new generation of cloud application developers. Like I said, today, things like DB2, Developer Community Edition is just the next chapter in this ongoing saga of IBM turning itself around. So like I said, each of the individual announcements today is like, okay, that's interesting. I'm glad to see IBM showing progress. None of them is individually disruptive. I think the last week though, I think the one important works was disruptive in the sense that IBM recognized that big insights didn't really have a lot of traction in the Hadoop spaces, not as much as they would have wished. Hortonworks very much does and IBM has cast its slot with Hort with HDP. But Hortonworks recognizes they haven't achieved any attraction with data scientists. Therefore, DSX makes sense as part of the Hortonworks portfolio. Likewise, a big SQL makes perfect sense as the SQL front end to HDP. So I think the teaming of IBM and Hortonworks is propitious of further things that they'll be doing in the future, not just governance, but really putting together a broader cloud portfolio for the next generation of data scientists doing work in the cloud. Do you think Hortonworks is a legitimate acquisition target for IBM? Of course they are. Why would IBM educate us? Why would IBM want to acquire Hortonworks? What does that give IBM? Open source mojo, obviously. Yeah, mojo. What else? A strong loyal team with the Hadoop market with developers. And also our... So the developer angle would supercharge the developer angle and maybe make it more relevant outside of some of those legacy systems. Yeah, but also remember that Hortonworks came from Yahoo, the team that developed much of what became Hadoop. They've got an excellent team, a strategic team. So in many ways, you can look at Hortonworks as one part Aquahire, if they ever do that. And one part really substantial and growing solution portfolio that in many ways is complementary to IBM. I mean, Hortonworks is really deep on the governance of Hadoop. IBM has gone there, but I think Hortonworks is even deeper in terms of their laser focus on government. So ecosystem expansion and it actually really wouldn't be that expensive of an acquisition. I mean, it's in the north of, maybe a billion dollars might get it done. So would you pay a billion dollars for Hortonworks? Not out of my own pocket. No, I mean, if you're IBM, you think that would deliver that kind of value. I mean, you know how IBM thinks about acquisitions. They're good at acquisitions. They look at the IRR, they have their formula, they blue wash the companies and they generally do very well with acquisitions. Do you think Hortonworks would fit that profile, that monetization profile? I wouldn't say that Hortonworks, in terms of monetization potential, would match, say, what IBM has achieved by acquiring the T's and then- Cognos or SPSS, SPSS has been an extraordinarily successful. Well, the day IBM acquired SPSS, they tripled the license fees as a customer, I know, ouch, but it worked. I mean, it was incredibly successful. Well, yeah, Cognos was, Natesa was and SPSS. Those three acquisitions in the last 10 years have been extraordinarily pivotal and successful for IBM to build what they now have, which is really the most comprehensive portfolio of fit-to-purpose data platforms. Second to, so in other words, all those acquisitions prepared IBM to duke it out now with their primary competitors in this new field, which are Microsoft, who's newly resurgent, and Amazon- Amazon, absolutely. In other words, the two Seattle vendors, Seattle has come on strong in a way that's almost Seattle now, and big data in the cloud is eclipsing Silicon Valley in terms of where, you know, it's like the locus of innovation and really of customer adoption in the cloud space. Quite amazing. Well, Google's still hanging in there. Oh, yeah. All right, Jim, really a pleasure working with you today. Thanks so much, really appreciate it. Thanks for bringing me on your team. And Munich crew, you guys did a great job, really. Well done. Chuck, Alex, Patrick, wherever he is, and our great makeup lady, thanks a lot, everybody back home. We're out, this is fast track your data. Go to ibm.go.com for all the replays, youtube.com slash Silicon Angle for all the shows. The cube.net is where we tell you where the cube's going to be. Go to wikibon.com for all the research. Thanks for watching everybody. This is Dave Vellante with Jim Cabales, we're out.


The narcissistic parent will ruin your life. Now this is a very important video. Perhaps one of the most important videos. And of course, the reason for that is because as we know, as science, as psychology shows us, everything that happens to you in your childhood, it determines how the rest of your life will pan out. As they say, the apple doesn't fall far from its tree. Everything that you received in your childhood from your narcissistic parents or parents or your caregiver, whoever it may have been, everything you received from that person or those people, of course it affects you. We know that. We know that it affects children. And that is why things have become a lot more strict now. You're not meant to hit your child for a reason. You're not meant to spoil your child as well. And especially the physical abuse that is against the law in many countries in the world for a reason. Because we understand the damaging effects that it has not only on the child but potentially every person that the child comes into contact with from when they're a child until the day they die. It affects everyone. It affects communities. And yeah, but let's talk more about your specific situation because we know that it can be damaging for everyone. But let's talk about how it affects you because that is very important on this channel. This is one of the most important topics, of course, because as you may already know, it is the reason why you ended up meeting a narcissist or many narcissists throughout your life. It's the reason why many of you are lonely and depressed and you feel like you've never met a good person. Yeah, it's the reason for that. It's the reason why you self-sabotage. It's the reason why you've made mistakes. It's the reason why you push people away. You don't trust anyone. Yeah, it's the reason for all of that. Sorry to say it, but it's true.  We can blame them for what they did to us. And of course, yes, they are at fault for what they've done, but sometimes it's good to look at the root cause of things. And yeah, the truth is it all comes back to your narcissistic parent. It really does. Because if you were treated right in childhood and you were encouraged to have boundaries, you were encouraged to love yourself and respect yourself, none of that stuff ever would have happened. None of it. The problem is if you have a narcissistic parent, we all know what they do.  They put you on this hamster wheel where you're constantly trying to please them, but nothing you do is ever good enough. And that's what it all comes down to. They make you insecure.  And it's completely irrational. I mean, the irony is I just really let this sink in because it's actually quite funny when you think about it. The narcissistic parent, they put you down throughout your entire life and no matter what you do, you're never good enough. You're always bad, you're always wrong. But if you're so bad, now think about this for a moment. Another truth is that narcissists, they don't seek out ordinary people. They want the best of the best. So why did all these narcissists pick you? Your narcissistic family members, friends, relationship partners, bosses, coworkers, why did they all target you?  You believed in the illusion of you not being as great as you actually are. And that's really the truth. As you know, I don't come on here to just make people feel better about themselves and patronize people. I'm not into that. I come on here to speak the truth. And the truth is you must be pretty damn special if narcissists are targeting you because they really do pick the best of the best. They pick people who are intelligent and attractive, people who have a light, people who have a heart, people who are empathic, considerate, kind, giving, generous, all of these things. So when you look at that, you think, so all of my life was my narcissistic parent blind? Could they not see the greatness in me? Did they not want to harness that greatness and turn it into something even greater? No. No. They didn't want to do that. And the reason why they didn't want to do that is because your narcissistic parent is deeply envious and jealous of you, just like any other narcissist. Yes. Narcissistic parents are envious and jealous of their own children. And this, typically, happens with fathers and their sons and then mothers and their daughters. And this is quite interesting, actually, because you may find that when you were a child, your narcissistic parent may have idealized you. In fact, you may have been the golden child. You may have been very special to them. They may have seen you as an extension of themselves. And it's like, no matter what you did, you couldn't do anything wrong. Everything you did was gold. But then you got to a certain age and it's that age when you start going through puberty, when you're around maybe 13 years old, that is when you start going out more, making more friends, socializing. Maybe you're more interested in boys or girls. And the narcissistic parent can no longer see you as an extension of themselves. Because now you're beginning to separate yourself from them. When you start developing these passions and interests and an interest in the opposite sex, you're showing them that you are a separate individual. And that is why at that age, when you're around 13 years old, you're going through puberty.  Now, that's when everything starts going wrong for you.  But you may not have seen it as abuse because it was spoiling. They gave you everything you wanted. They let you do whatever you wanted to do. And, yeah, I mean, that may have seemed good at the time, but that is also a form of abuse. And as you got older, once you got to around 13 years old, you're going through puberty, that's when the narcissistic parent no longer sees you as an extension of them. They begin to see you as a separate individual and they don't like that. And they see it as though anything that is separate from them that's not an extension, then they have to devalue you. They have to put you down. And it makes you very insecure. You feel like you're not good enough and you don't want to go out. You don't want to make friends. You don't want to have girlfriends, boyfriends. You don't want anything like that. You just want to be alone. You just want to sit in your room all day and do nothing and not be around anyone. Because you feel like you're not good enough for anyone. And this impacts you. It affects the rest of your life. And it's the reason why you find yourself where you are today. Everything you've gone through. It's really sad, but that's just how it is. That's what they do to you. It's tragic. It really is. It's that loss of potential. And it's not only the potential for you and what you could have become, but also what you could have brought to the worlds. What you could have brought to other people's lives. You could have met the right person for you if you were treated right. It's like somewhere out there is the soulmate that you never got to meet, this family that you never got to have, these friends, the social circle, this job, this life. And it was all taken away from you at a very young age. And really there's nothing worse than that.  Yeah, of course, it's really bad what these narcissists do to us. But for me, that is the most heartbreaking thing of all, is how life is literally robbed from an innocent child. I mean, when you think about it, that is the worst part about it. And, you know, as people have said in my comments before, I really think this should be taught in schools.  It can change everything. And not only your life, but as I've said, it has a knock-on effect. It affects everyone around you. And another thing is that if you have a narcissistic parent, you won't have any support. You will feel completely invalidated and isolated. No one's going to be on your side. No one's going to be in your corner.  There will have been a smear campaign which will have started from when you started to separate as an individual. From that moment on, the narcissistic parent will have started a smear campaign.  And, yeah, you're just completely isolated. You have no support. You have no one who understands you, no one who you can trust because they've already been groomed. They've been conditioned by the narcissistic parent a long time ago. Even after everything, all of the abuse, you're left to deal with it on your own with no support. And, yeah, it's tragic, it really is. It really is. But it seems that these types of people, these narcissists, they just know, they have a sixth sense where they know straight away.  I'm going to exploit them. I'm going to take everything they've got. They can just sense it. They know straight away and they're looking for people like that. They're looking for people who are abused, children in adult bodies and they're looking for excuses to exploit you. Yeah, that's it. That's what having a narcissistic parent does to you. It sets you up to be alone and isolated in life where you can't trust anyone, where no one's on your side, where you have no support and you're just left to deal with the effects of everything you've gone through on your own. And, yeah, that's really why I do this. Because after everything that I've gone through in my life and I never had any support. There was never anyone there for me other than me. Oh, and Nala, of course. But yeah, that's why I do this. It's because sometimes I look back and I think about myself when I was a child and everything I had to go through and how no one cared about me. No one was there for me. I just don't like it. Going through that. And it's even worse when there's a group of people. I just can't accept that. And that's really what motivates me to do this every day. So, yeah, if you would like to talk about it, you know, the things that you've gone through with your narcissistic parent and everything that occurred as a result after that, you can share that in the comments down below. Or if you prefer something a bit more personal, I am available for one-on-one coaching, which you can book through my website, which is NarcSurvivor.co.uk. I'm just relaxing now in my apartment here. Really nice place. Three bedrooms and two bathrooms. But just me and Nala. But there's so much to explore out here. Lots to see. Got these massive mountains in the back. Got the mall there. Incredible views. Yeah, but that's definitely one of the most things to deal with. And as I said, the invalidation, the gaslighting, the blame shifting, because by the end of it, even after all of the abuse, you will be the one who takes the blame. I've said it before. In the end, they blame you for everything. I mean, that's what narcissists do. They don't take accountability for anything. They hold you accountable for everything that went wrong. They point the finger at you, and then they get everyone else to join in. So yeah, that's difficult to deal with, the gaslighting, the cognitive dissonance. You've got to have someone there to talk you through that. And that's where I come in. I'm available for coaching. Just go to Narc Survivor.co.uk. I've been through it. And I'm definitely a lot more self-validating. So yeah, I can definitely help you with that. All right, that's it for this video. Please give it a thumbs up if it helped. And you all have a great day.