>>Yeah, >>from the Cube Studios in Palo Alto and Boston. It's the Cube covering IBM think wrought by IBM. >>Welcome back. I'm Stew Middleman. And this is the Cube's coverage of IBM. Think 2020. The digital experience. Happy to welcome to the program. Dinesh Nirmal, Who's the chief product officer for cloud packs inside IBM Deneche. Nice to see you. Thanks so much for joining us. >>Thank you. Still really appreciate you taking the time. >>All right, So Ah, I've been to many IBM shows, and of course, I'm an analyst in the cloud space. So I'm familiar with IBM cloud packs. But maybe, you know, just refresh our audience minds here what they are. How long have they been around for? You know, what clouds do they live on? And maybe what's what's new in 2020? That if somebody had looked at this, you know, in the past that they might not know about IBM Cloud. >>Yeah, so thanks to start with, let me say that. Well, tax at 12. Agnostic. So the whole goal is that you build once and it can run anywhere. That is the basic mantra or principle that we want to build packs with, So they're looking at them as a set of micro services containerized in the form that it can run on any public or behind the firewall. So that's the whole premise of about Pass. So when you go back to cloud packs, it's an integrator set of services that solve a specific set of business problems and also accelerates building rich set of applications and solutions. That's what cloud back springs. So you know, especially in this and moments to think about it, you know, violent underprice. My goal is how can I accelerate and how can I automate? Those are the two key things you know that comes to my mind if I am a C level execs at an enterprise. So cloud practice enables that meaning you already have a set off stitched together services that accelerate the application development. It automates a lot of things for you. So you do. They have a lot of applications running on multiple clouds or behind the firewall. How do you manage those right about banks will help, so I'll let me give you one example. Since you are specifically on 12 packs, let's stay cloud back for data the set of services that is available in cloud back for data will make it easier for all the way from ingest to visualization. There's a set of services that you can use so you don't have to go build a service or a product or use a product for ingest. Then use another product for CTL. Use another product for building models, another product to manage those models. The cloud back for data will solve all the problems and to end. It's a rich set of services that will give you all the value that you need all the way from ingest to visualization and with any personas We know whether you are a data engineer, data scientist or you are, you know, business analyst. You all can cooperate through the part. So that's the you know, two minute answer your question. What about practice? >>Awesome. Thanks in. Actually, I I guess you pointed out something right at the beginning. There I hear IBM Cloud pack and I think IBM cloud. But you said specifically this is really cloud agnostic. So you know, this week is think Last week I was covering Red Hat Summit, so I heard a lot about multi cloud deployments. You know, talk to the well team, talk to the open shift team. Um, so help me understand. You know, where do cod packed bit when we're talking about, you know, these multi cloud employments, you know? And is there some connection with the partnership that, of course, IBM has with red hat >>off course. I mean, so all cloud packs are optimized for open shipped. Meaning, you know, how do we use the set of services that open ship gives that container management that open provides. So as we build containers or micro services, how do we make sure that we are optimizing or taking advantage of open ship? So, for example, the set of services like logging, monitoring, security, all those services meeting that comes from open shift is what we are using. Basketball packs of cloud packs are optimized for open shift. Um, you know, from an automation perspective, how do we use and simple Right? So all the value that red hat an open ship brings is what about back is built on. So if you look at it as a layer as a Lego, the based Lego is open shift and rail. And then on top of it sits cloud pass and applications and solutions on top of it. So if I look at layer bass, the bass Lego layer is open shift and red pepper. >>Well, great. That's that's super important because, you know, one of the things we've been looking at for a while is you talk about hybrid cloud, You talk about multi cloud, and often it's that platform that infrastructure discussion. But the biggest challenge for companies today is how do I build new applications? How do I modernize what I have? So >>it >>sounds like this is exactly, you know where you're targeting to help people, you know, through the through that transformation that they're going through. >>Yeah, exactly. Stew. Because if you look at it, you know, in the past, products for siloed I mean, you know, you build a product, you use a set of specs to build it. It was a silo, and customers becomes the software integrators, or system integrators, where they have to take the different products, put it together. So even if I am, you know, focused on the data space or AI space before I have to bring in three or four or five different products make it all work together to build a model, deploy the model, manage the model, the lifecycle of the model, the life cycle of the data. But the cloud packs bring it all in one box, were out of the box. You're ready to go, so your time to value is much more higher with cloud packs because you already get a several stitched together services that gets working right out of the box. >>So I love the idea of out of the box when I think of Cloud native modern modern application development. Simplicity is not the first thing I think of Danish. So help me understand. You know so many customers. It's, you know, the tools, the skill set. You know, they don't necessarily have the experience. How is what you know your products and your team's doing help customers deal with, You know, the ever changing landscape and the complexity that they're faced with. >>Yeah, so the that honest roots, too, is that enterprise applications are not an app that you create and put it on iPhone, right? I mean, it is much more complex because it's dealing with you know, hundreds of millions of people trying to transact with the system. You need to make sure there is a disaster recovery, backup scalability, the elasticity. I mean, all those things. Security, I mean, obviously very critical piece and multi tenancy. All those things has to come together in an enterprise application. So when people talk about, you know, simplicity, it comes at a price. So what cloud practice is done is that you know, we have really focused on the user experience and design piece. So you, as an end user, has a great Syrians using the integrated set of services. The complexity piece will still be there to some extent, because you're building a very complex, you know, multi tenant application, the price application. But how do we make it easier for a developer or a data scientist to collaborate or reuse the assets, find the data much more easier or trusted data much more easier than before? Use AI, you know, to predict a lot of the things including, you know, bias detection, all those things. So we're making a lot off the development, automation and acceleration easier. The complexity part will be there still, because You know, enterprise applications tend to be complex by nature, but we're making it much more easier for you to develop, deploy and manage and govern what you're building. >>Yeah, so? So how does cloud packs allow you to really, you know, work with customers focus on, you know, things like innovation showing them the latest in the IBM software portfolio. >>Yeah. So off the first pieces that we made it much more easier for the different personas to collaborate. So in the past, you know what is the biggest challenge? Me as a data scientist had me as a data scientist. The biggest challenge was that getting access to the data Trusted data. Now, you know, we have put some governance around it, or by average, you can get, you know, data trusted data much more easier using our back to data governments around the data. Meaning if you have a CDO, you want to see who is using the data? How clean is that data, right? I mean, a lot of times that data might not be clean, so we want to make sure we can. You can help with that. Now let me move into the you know the line of business. He's not just the data. If I am, you know, a l l o B. And I want to use order. Made a lot of the process I have in today in my enterprise and not go to the ah, the every process automation and go through your superior or supervisor to get approval. How do we use AI in the business process? Automation also. So those kind of things you will get to cloud parts now, the other piece of it. But if I'm an I t space, right, the day two operations scalability, security, delivery of the software, backup and restore how do we automate and help it at the storage layer? Those air day two operations. So we're taking it all the way from day one. The whole experience of setting it up today to where enterprises really wherever, making it seamless and easy. Using quote Thanks. I go back to what I said in the beginning, which is how do we accelerate and automate a lot of the work that enterprises today much more easier. >>Okay, Wei talked earlier in the discussion about that. This can be used across multiple cloud environments. My understanding you mentioned one of the IBM cloud packs, one for data. There's a number of different cloud tax out there. How does that >>work from >>a customer standpoint? Do I have to choose a cloud pack for a specific cloud? Does it is a license that goes across all of my environment, Help me understand on this deployment mechanism and support inmates works >>right? So we have the base. Obviously, I said, You know, look at us. A modular Lego model. The base is obviously open shift in Rome. On top of itself sits a bedroom because which is a common set of services on the logic to experience. On top of it sits lower back for data well back for security cloud. For applications, there's cloud back for multi cloud management. There's cloud platform integration, so there's total of six power packs that's available, but you can pick and choose which about back you want. So let's say you are. You're a CD or you are an enterprise. We want to focus on data and ai. You can just speak lower back for data or let's say you are a, you know, based on processes, BPM decision rules. You can go with our back for automation, which gives you the set of tools. But the biggest benefits do is that all these quarterbacks are set up in the greatest services that can all work together since optimized on top of open ship. So all of a sudden you lead bar Cloud back for data, and now you want to do data. But now you want to expand it in New York and line of business. And you want that for automation? You can bring that in. Now those two quarterbacks works together. Well, now you want to bring it back for multi cloud management because you have data or applications running on multiple clouds. So now you can will bring it back for EMC M, which is multi cloud management. And those three work together. So it's fall as set off integrated set of services that is optimized on top of open shift, which makes it much more easier for customers to bring the rich set of services together and accelerate and automate their lifecycle journey within the enterprise. >>Great last question for you, Dan Ashe. You know what? What new in 2020. What should customers be looking at today would love if you could give a little bit of guidance as to where customers should be looking at for things that might be coming a little bit down the line here. And if they want to learn more about IBM cloud backs, where should they be looking? >>Yeah, if they want to learn more, there's, you know, the VW IBM dot com slash power packs. That's a place to go there. All the details on power packs are there. You can also get in touch with me, and I can definitely much more detail. But what is coming is that look. So we have a set of cloud parts, but we want to expand on, Make it extensible. So how do we you know, already it's built on an open platform. But how do we make sure our partners and I s feeds can come and build on top of the space cloud? So that's the focus going to be as each quote back innovate and add more value in within those cloud grants. We also wanted bandit so that you know our partners and our eyes, fees and GS size and build on top of it. So this year the focus is continuously in a way across the cloud part, but also make it much more extensible for third parties to come and build more value. That's the you know, That's one area of focus in the various EMC em right multi cloud management, because there is tremendous appetite for customers to move data or applications on cloud, and not only on one cloud hybrid cloud. So how do you manage that? Right. So multi cloud management definitely helps from that perspective. So our focus this year is going to be one. Make it extensible, make it more open, but at the same time continuously innovate on every single cloud part to make that journey for customers on automation and accelerating off application element easier. >>All right, we'll do next. Thank you so much. Yeah, the things that you talked about, that absolutely, you know, top of mind for customers that we talk to multi cloud management. As you said, it was the ACM, the advanced cluster management that we heard about from the Red Hat team last week at Summit. So thank you so much for the updates. Definitely exciting to watch cloud packed. How you're helping customers, you know, deal with that. That huge. It's the opportunity. But also the challenge of building their next applications, modernizing what they're doing without, you know, still having to think about what they have from their existing. Thanks so much. Great to talk. >>Thanks to you. >>All right, lots more coverage from IBM. Think 2020 The digital experience. I'm stew minimum. And as always, Thank you for watching the Cube. >>Yeah, Yeah, yeah, yeah, yeah.