>>from Miami Beach, Florida It's the key. You covering a Cronus Global Cyber Summit 2019. Brought to you by a Cronus. >>Hello, everyone. Welcome to the Cube coverage here in Miami Beach Front and Blue Hotel with Cronus Global Cyber Summit 2019 2 days of coverage. Where here, Getting all the action. What's going on in cyber tools and platforms are developing a new model of cybersecurity. Cronus Leader, Fast growing, rapidly growing back in here in the United States and globally. We're here. William Toll, head of product marketing Cronus. Thanks for coming. I appreciate it. >>Thanks, John. I'm excited. You're >>here so way were briefed on kind of the news. But you guys had more news here. First great key notes on then special guest Shark tank on as well. That's a great, great event. But you had some news slip by me. You guys were holding it back. >>So we've opened our A p I, and that's enabling a whole ecosystem to build on top of our cyber protection solutions. >>You guys have a platform infrastructure platform and sweet asserts from backup all the way through protection. All that good stuff as well. Partners. That's not a channel action platforms are the MoD has been rapidly growing. That's 19 plus years. >>And now, with the opening of our AP, eyes were opening the possibility for even Maur innovation from third parties from Eyes V's from managed service providers from developers that want to build on our platform and deliver their solutions to our ecosystem. >>You guys were very technical company and very impressed with people. Actually, cyber, you gotta have the chops, you can't fake it. Cyber. You guys do a great job, have a track record, get the P I. C B Also sdk variety, different layers. So the FBI is gonna bring out more goodness for developers. You guys, I heard a rumor. Is it true that you guys were launching a developer network? >>That's right. So the Cronus developer network actually launches today here in the show, and we're inviting developed officials. That's official. Okay. And they can go to developers that Cronus dot com and when they go in there, they will find a whole platform where they can gain access to forums, documentation and logs, and all of our software development kids as well as a sandbox, so developers can get access to the platform. Start developing within minutes. >>So what's the attraction for Iess fees and developers? I mean, you guys are here again. Technical. What is your pitch developers? Why would they be attracted to your AP eyes? And developer Resource is >>sure it's simple. Our ecosystem way have over 50,000 I t channel partners and they're active in small businesses. Over 500,000 business customers and five million and customers all benefit from solutions that they bring to our cyber cloud solutions >>portal. What type of solutions are available in the platform today? >>So their solutions that integrate P s a tools professional service is automation are mm tools tools for managing cloud tools for managing SAS applications. For example, one of our partners manages office 3 65 accounts. And if you put yourselves in the shoes of a system administrator who's managing multiple SAS applications now, they can all be managed in the Cronus platform. Leverage our user experience. You I s t k and have a seamless experience for that administrator to manage everything to have the same group policies across all of this >>depression. That success with these channel a channel on Channel General, but I s freeze and managed service ROMs. Peace. What's the dynamic between Iess, freeze and peace? You unpack that? >>Sure. So a lot of m s peace depend on certain solutions. One of our partners is Connectwise Connectwise here they're exhibiting one sponsors at at this show and their leader in providing managed to lose management solutions for M s. He's to manage all of their customers, right? And then all the end points. >>So if I participate in the developer network, is that where I get my the FBI's someone get the access to these AP eyes? >>So you visits developer data cronies dot com. You come in, you gain access to all the AP eyes. Documentation way Have libraries that'll be supporting six languages, including C sharp Python, java. Come in, gain access to those documentation and start building. There's a sandbox where they could test their code. There's SD K's. There's examples that are pre built and documentation and guides on how to use those s >>So customer the end. You're in customers or your channel customers customer. Do they get the benefits of the highest stuff in there? So in other words, that was the developer network have a marketplace where speed push their their solutions in there. >>Also launching. Today we have the Cronus Cyber Cloud Solutions portal and inside there there's already 30 integrations that we worked over the years to build using that same set of AP eyes and SD case. >>Okay, so just get this hard news straight. Opening up the AP eyes. That's right. Cronus Developer Network launched today and Cloud Solutions Portal. >>That's right, Cyber Cloud Solutions Portal Inside there there's documentation on all the different solutions that are available today. >>What's been the feedback so far? Those >>It's been great. You know, if we think about all the solutions that we've already integrated, we have hundreds of manage service providers using just one solution that we've already integrated. >>William, we're talking before we came on camera about the old days in this business for a long time just a cube. We've been documenting the i t transformation with clouds in 10 years. I've been in this in 30 years. Ways have come and gone and we talked to see cells all the time now and number one constant pattern that emerges is they don't want another tour. They want a solid date looking for Jules. Don't get me wrong, the exact work fit. But they're looking for a cohesive platform, one that's horizontally scaled that enables them to either take advantage of a suite of service. Is boy a few? That's right. This is a trend. Do you agree with that? What you're saying? I totally agree >>with that, right? It makes it much easier to deal with provisioning, user management and billing, right? Think about a man of service provider and all of their customers. They need that one tool makes their lives so much easier. >>And, of course, on event would not be the same. We didn't have some sort of machine learning involved. How much his machine learning been focused for you guys and what's been some of the the innovations that come from from the machine. I mean, you guys have done >>artificial intelligence is critical today, right? It's, uh, how we're able to offer some really top rated ransomware protection anti malware protection. We could not do that without artificial intelligence. >>Final question for you. What's the top story shows week If you have to kind of boil it down high order bit for the folks that couldn't make it. Watching the show. What's the top story they should pay attention to? >>Top story is that Cronus is leading the effort in cyber protection. And it's a revolution, right? We're taking data protection with cyber security to create cyber protection. Bring that all together. Really? Democratize is a lot of enterprise. I t. And makes it accessible to a wider market. >>You know, we've always said on the Q. Go back and look at the tapes. It's a date. A problem that's right. Needed protection. Cyber protection. Working him, >>Cronus. Everything we do is about data. We protect data from loss. We protect data from theft and we protect data from manipulation. It's so critical >>how many customers you guys have you? I saw some stats out there. Founded in 2003 in Singapore. Second headquarters Whistle in 2000 a global company, 1400 employees of 32 offices. Nice nice origination story. They're not a Johnny come lately has been around for a while. What's the number? >>So five million? Any customers? 500,000 business customers. 50,000 channel partners. >>Congratulations. Thanks. Thanks for having us here in Miami Beach. Thanks. Not a bad venue. As I said on Twitter just a minute ago place. Thanks for Thanks. All right, John. Just a cube coverage here. Miami Beach at the front in Blue Hotel for the Cyber Global Cyber Security Summit here with Cronus on John Kerry back with more coverage after this short break.

>> Live from San Francisco. It's the cube covering IBM thing twenty nineteen brought to you by IBM. >> Okay. Welcome back, everyone. He live in San Francisco. Here on Mosconi St for the cubes. Exclusive coverage of IBM. Think twenty nineteen. I'm Jeffrey David Long. Four days of coverage bringing on all the action talking. The top executives, entrepreneurs, ecosystem partners and everyone who can bring the signal from the noise here on the Q and excuses. Rob Thomas, general manager, IBM Data and a I with an IBM Cube Alumni. Great to see you again. >> Great. There you go. >> You read a >> book yet? This year we've written ten books on a data. Your general manager. There's >> too much work. Not enough time >> for that's. Good sign. It means you're working hard. Okay. Give us give us the data here because a I anywhere in the center of the announcements we have a story up on. Slick earnings have been reported on CNBC. John Ford was here earlier talking to Ginny. This is a course centerpiece of it. Aye, aye. On any cloud. This highlights the data conversation you've been part of. Now, I think what seven years seems like more. But this is now happening. Give us your thoughts. >> Go back to basics. I've shared this with you before. There's no AI without IA, meaning you need an information architecture to support what you want to do in AI. We started looking into that. Our thesis became so clients are buying into that idea. The problem is their data is everywhere onpremise, private cloud, multiple public clouds. So our thesis became very simple. If we can bring AI to the data, it will make Watson the leading AI platform. So what we announced wtih Watson Anywhere is you could now have it wherever your data is public, private, any public cloud, build the models, run them where you want. I think it's gonna be amazing >> data everywhere and anywhere. So containers are big role in This is a little bit of a deb ops. The world you've been living in convergence of data cloud. How does that set for clients up? What are they need to know about this announcement? Was the impact of them if any >> way that we enable Multi Cloud and Watson anywhere is through IBM cloud private for data? That's our data Micro services architectural writing on Cooper Netease that gives you the portability so that it can run anywhere because, in addition Teo, I'd say, Aye, aye, ambitions. The other big client ambition is around how we modernize to cloud native architectures. Mohr compose herbal services, so the combination gets delivered. Is part of this. >> So this notion of you can't have a eye without a it's It's obviously a great tagline. You use it a lot, but it's super important because there's a gap between those who sort of have a I chops and those who don't. And if I understand what you're doing is you're closing that gap by allowing you to bring you call that a eye to the data is it's sort of a silo buster in regard. Er yeah, >> the model we use. I called the eye ladder. So they give it as all the levels of sophistication an organization needs to think about. From how you collect data, how you organize data, analyze data and then infused data with a I. That's kind of the model that we used to talk about. Talk to clients about that. What we're able to do here is same. You don't have to move your data. The biggest problem Modi projects is the first task is OK move a bunch of data that takes a lot of time. That takes a lot of money. We say you don't need to do that. Leave your data wherever it is. With Cloud private for data, we can virtualized data from any source. That's kind of the ah ha moment people have when they see that. So we're making that piece really >> easy. What's the impact this year and IBM? Think to the part product portfolio. You You had data products in the past. Now you got a eye products. Any changes? How should people live in the latter schism? A kind of a rubric or a view of where they fit into it? But what's up with the products and he changes? People should know about? >> Well, we've brought together the analytics and I units and IBM into this new organization we call Dayton ay, ay, that's a reflection of us. Seen that as two sides of the same coin. I really couldn't really keep them separate. We've really simplified how we're going to market with the Watson products. It's about how you build run Manager II watching studio Watson Machine Learning Watson Open scale. That's for clients that want to build their own. Aye, aye. For clients that wants something out of the box. They want an application. We've got Watson assistant for customer service. Watson Discovery, Watson Health Outset. So we've made it really easy to consume Watson. Whether you want to build your own or you want an application designed for the line of business and then up and down the data, stack a bunch of different announcements. We're bringing out big sequel on Cloudera as part of our evolving partnership with the new Cloudera Horn Works entity. Virtual Data Pipeline is a partnership that we've built with active fio, so we're doing things at all layers of the last. >> You're simplifying the consumption from a client, your customer perspective. It's all data. It's all Watson's, the umbrella for brand for everything underneath that from a tizzy, right? >> Yeah, Watson is the Aye, aye, brand. It is a technology that's having an impact. We have amazing clients on stage with this this week talking about, Hey, Eyes No longer. I'd like to say I was not magic. It's no longer this mystical thing. We have clients that are getting real outcomes. Who they II today we've got Rollback of Scotland talking about how they've automated and augmented forty percent of their customer service with watching the system. So we've got great clients talking about other using >> I today. You seen any patterns, rob in terms of those customers you mentioned, some customers want to do their own. Aye, aye. Some customers wanted out of the box. What? The patterns that you're seeing in terms of who wants to do their own. Aye. Aye. Why do they want to do their own, eh? I do. They get some kind of competitive advantage. So they have additional skill sets that they need. >> It's a >> It's a maker's mark. It is how I would describe it. There's a lot of people that want to make their own and try their own. Ugh. I think most organizations, they're gonna end up with hundreds of different tools for building for running. This is why we introduced Watson Open Scale at the end of last year. That's How would you manage all of your A II environments? What did they come from? IBM or not? Because you got the and the organization has to have this manageable. Understandable, regardless of which tool they're using. I would say the biggest impact that we see is when we pick a customer problem. That is widespread, and the number one right now is customer service. Every organization, regardless of industry, wants to do a better job of serving clients. That's why Watson assistant is taking off >> this's. Where? Data The value of real time data. Historical data kind of horizontally. Scaleable data, not silo data. We've talked us in the past. How important is to date a quality piece of this? Because you have real time and you have a historical date and everything in between that you had to bring to bear at low ladened psi applications. Now we're gonna have data embedded in them as a feature. Right. How does this change? The workloads? The makeup of you? Major customer services? One piece, the low hanging fruit. I get that. But this is a key thing. The data architecture more than anything, isn't it? >> It is. Now remember, there's there's two rungs at the bottom of the ladder on data collection. We have to build a collect data in any form in any type. That's why you've seen us do relationships with Mongo. D B. Were they ship? Obviously with Claude Era? We've got her own data warehouse, so we integrate all of that through our sequel engine. That thing gets to your point around. Are you gonna organize the data? How are you going to curate it? We've got data catalogue. Every client will have a data catalogue for many dollar data across. Clouds were now doing automated metadata creation using a I and machine learning So the organization peace. Once you've collected it than the organization, peace become most important. Certainly, if you want to get to self service analytics, you want to make data available to data scientists around the organization. You have to have those governance pieces. >> Talk about the ecosystem. One of the things that's been impressive IBM of the years is your partnerships. You've done good partners. Partnership of relationships now in an ecosystem is a lot of building blocks. There's more complexity requires software to distract him away. We get that. What's opportunities for you to create new relationships? Where are the upper opportunities for someone a developer or accompanied to engage with you guys? Where's the white spaces? Where is someone? Take advantage of your momentum and you're you're a vision. >> I am dying for partners that air doing domain specific industry specific applications to come have them run on IBM cloud private for data, which unleashes all the data they need to be a valuable application. We've already got a few of those data mirrors. One sensing is another one that air running now as industry applications on top of IBM Club private for data. I'd like to have a thousand of these. So all comers there. We announced a partnership with Red Hat back in May. Eventually, that became more than just a partnership. But that was about enabling Cloud Private, for data on red had open shift, So we're partnered at all layers of the stack. But the greatest customer need is give me an industry solution, leveraging the best of my data. That's why I'm really looking for Eyes V. Partners to run on Ivan clubs. >> What's your pitch to those guys? Why, why I should be going. >> There is no other data platform that will connect to all your data sources, whether they're on eight of us as your Google Cloud on premise. So if you believe data is important to your application. There's simply no better place to run than IBM. Claude Private for data >> in terms of functionality, breath o r. Everything >> well, integrating with all your data. Normally they have to have the application in five different places. We integrate with all the data we build the data catalogue. So the data's organized. So the ingestion of the data becomes very easy for the Iast V. And by the way, thirdly, IBM has got a pretty good reach. Globally, one hundred seventy countries, business partners, resellers all over the world, sales people all over the world. We will help you get your product to market. That's a pretty good value >> today. We talk about this in the Cube all the time. When the cloud came, one of the best things about the cloud wasn't allowed. People to put applications go there really quickly. Stand them up. Startups did that. But now, in this domain world of of data with the clouds scale, I think you're right. I think domain X expertise is the top of the stack where you need specially special ism expertise and you don't build the bottom half out. What you're getting at is of Europe. If you know how to create innovation in the business model, you could come in and innovate quickly >> and vertical APS don't scale enough for me. So that's why focus on horizontal things like customer service. But if you go talk to a bank, sometimes customer service is not in office. I want to do something in loan origination or you're in insurance company. I want to use their own underwriting those air, the solutions that will get a lot of value out of running on an integrated data start >> a thousand flowers. Bloom is kind of ecosystem opportunity. Looking forward to checking in on that. Thoughts on on gaps. For that you guys want to make you want to do em in a on or areas that you think you want to double down on. That might need some help, either organic innovation or emanate what areas you looking at. Can you share a little bit of direction on that? >> We have, >> ah, a unique benefit. And IBM because we have IBM research. One of their big announcement this week is what we call Auto Way I, which is basically automating the process of feature engineering algorithm selection, bringing that into Watson Studio and Watson Machine learning. I am spending most of my time figure out howto I continue to bring great technology out of IBM research and put in the hand of clients through our products. You guys solve the debaters stuff yesterday. We're just getting started with that. We've got some pretty exciting organic innovation happen in IBM. >> It's awesome. Great news for startups. Final question for you. For the folks watching who aren't here in San Francisco, what's the big story here? And IBM think here in San Francisco. Big event closing down the streets here in Howard Street. It's huge. What's the big story? What's the most important things happening? >> The most important thing to me and the customer stories >> here >> are unbelievable. I think we've gotten past this point of a eyes, some idea for the future we have. Hundreds of clients were talking about how they did an A I project, and here's the outcome they got. It's really encouraging to see what I encourage. All clients, though, is so build your strategy off of one big guy. Project company should be doing hundreds of Aye, aye projects. So in twenty nineteen do one hundred projects. Half of them will probably fail. That's okay. The one's that work will more than make up for the ones that don't work. So we're really encouraging mass experimentation. And I think the clients that air here are, you know, creating an aspirational thing for things >> just anecdotally you mentioned earlier. Customer service is a low hanging fruit. Other use cases that are great low hanging fruit opportunities for a >> data discovery data curation these air really hard manual task. Today you can start to automate some of that. That has a really big impact. >> Rob Thomas, general manager of the data and a I groupie with an IBM now part of a bigger portfolio. Watson Rob. Great to see you conventionally on all your success. But following you from the beginning. Great momentum on the right way. Thanks. Gradually. More cute coverage here. Live in San Francisco from Mosconi North. I'm John for Dave A lot. They stay with us for more coverage after this short break