>>from around the globe. It's the Cube with digital coverage of AI ops Virtual Forum Brought to you by Broadcom Welcome back to the Broadcom AI Ops Virtual Forum Lisa Martin here talking with Usman Naseer Global Product Management at Verizon we spend Welcome back. >>Uh huh. Hello, Good >>to see you. So 2020 The year of that needs no explanation. With the year of massive challenges, I wanted to get your take on the challenges that organizations are facing this year as the demand to deliver digital products and services has never been higher. >>Yeah, I e I think this is something is so close to all the part part right? It's something that's impacted the whole world equally. And I think regardless off which industry you win, you have been impacted by this in one form or the other and the i c t industry, the information and communication technology industry. You know, Verizon being really massive player in that whole arena, it has just been sort of struck with this massive confirmation that we have talked about for a long time. We have talked about these remote surgery capabilities whereby you got patients in Kenya were being treated by experts sitting in London or New York and also this whole consciousness about, you know, our carbon footprint and being environmentally conscious. This pandemic has taught a school of that and brought this to the forefront off organizational priority, right? The demand. I think that Zaveri natural consequence of everybody sitting at home. And the only thing that can keep things still going is the data communication, Right? But I would just say that that is what kind of at the heart of all of this. Just imagine if we are to realize any of these targets that the world is world leadership is setting for themselves. Hey, we have >>to be carbon >>neutral by Xia as a country as a geography, etcetera etcetera. You know, all of these things require you to have this remote working capability this remote interaction, not just between human but machine to machine interaction. And this is a unique value chain which is now getting created that you've got people we're communicating with other people or were communicating with other machines. But the communication is much more. I won't even use the term really time because we've used real time for voice and video, etcetera. We're talking low latency microsecond to see and making that can either cut somebody's, you know, um, our trees or that could actually go and remove the tumor, that kind of stuff. So that has become a reality. Everybody's asking for it. Remote learning, being an extremely massive requirement where, you know, we've had to enable these thes virtual classrooms ensuring the type of connectivity, ensuring the type of type of privacy which is just so, so critical. You can't just have everybody you know, Go on the internet and access the data source. You have to be. I'm sorry about the integrity and security of >>that. They've >>had the foremost. So I think all of these things, Yes. We have not been caught off guard. We were should be pretty forward looking in our, you know, plans in our evolution. But yes, it does this fast track a journey that we would probably the least we would have taken in three years. It has brought that down to two quarters where we had to execute them. >>Right? Massive acceleration. All right, so you articulated the challenges really well and a lot of the realities that many of our viewers air facing. Let's talk now about motivations ai ops as a tool as a catalyst for helping organizations overcome those challenges. >>So, yeah, now all that I said you can imagine, you know, it requires microsecond the sea and making which human being on this planet can do microsecond the sea and making on complex network infrastructure, which is impacting, and user applications which have multitudes off effect. You know, in real life, I used the example of a remote surgeon. Just imagine, if you know, even because you just lose your signal on the quality of that communication for that microsecond, it could be the difference between killing somebody in saving somebody's life. Is that particular? We talk about autonomous vehicles way talk about the transition to electric vehicles, smart motorways, etcetera, etcetera in federal environment. How is all of that going to work? You have so many different components coming in. You don't just have a natural can security anymore. You have software defined networking that's coming becoming a part of this. You have mobile edge computing that is rented for the technologies. Five g enables we're talking augmented reality. We're talking virtual reality all of these things require that resource is. And while we carbon conscious, we don't just wanna build a billionaire, a terrorist on the planet, right? We we have to make sure that resource is air given on demand and the best way of re sources can be given on demand and could be most efficient. Is that we're making is being made at million microsecond. And those resource is our accordingly being distribute. Right? If you're 10 flying on, people sipping their coffee is having teeth talking to somebody else. You know, just being away on holiday. I don't think we're gonna be able to handle that world that we have already stepped into. Risen's five g has already started businesses on the transformational journey where they're talking about end user experience, personalization. You're gonna have, you know, events where people are going to go. And it's going to be three dimensional experiences that are purely customized for you. How How does that all happen without this intelligence having their and a network with all of these multiple layers assaults spectrum, it doesn't just need to be intuitive. Hey, this is my private I p traffic. This is public traffic. You know it has to now be into or this is an application that to privatize over another has to be intuitive to the criticality in the context, off those transactions again that surgeons surgery is much more important than husband sitting and playing a video game. >>Yeah, I'm glad that you think that that's excellent. Let's go into some specific use cases. What are in some of the examples that you gave? Let's kind of dig deeper into some of that. What you think are the lowest hanging fruit for organizations, kind of pan industry to go after here. >>Excellent, right? And I think this just like different ways to look at the lowest timing food. Like for somebody like Verizon, who is the managed services provider, you know, very comprehensive medicines. But we obviously have food timing much lower than potentially for some of our customers who want to go on that journey, right? So for them to just >>go and try and >>harness the power of help, the food's might be a bit higher hanging. But for somebody like God, the immediate ones would be to reduce the number off alarms that are being generated by these overlays services. You've got your basic network. Then you've got your software defined networking. On top of that, you have your hybrid clouds. You have your edge computing coming on top of that, you know? So ALOF this means if there is an outrage on one device on the network, gonna make this very real for everybody, right? It's right out. I'm not divisive. Network does not stop all of those multiple applications for monitoring tools from raising havoc and raising thousands off alarms and everyone capacity. If people are attending to those thousands off alarms, it's like you having a police force. And there's a burglary in one bank and the alarm goes off in $50. How you gonna make the best use of your police force? You're gonna go investigate 50 banks? You wanna investigate one where the problem is. So it's as realize that and I think that's the first wind where people can save so much cost, which is currently being wasted. And resource is running around primary figure stuff up immediately. Anti this with network and security network and security is something which has eluded even the most. You know, amazing off brings in or engineering. Well, we took it. We have network expert, separate people. Security experts separate people to look for different things. But there are security events that can impact the performance of the network and then use your application, cetera, etcetera, which could be falsely attributed to the network. And then if you've got multiple parties, which are then which have to clear stakeholders, you can imagine the blame game that goes on pointing fingers, taking names, not taking responsibility. That is how all this happened. This is the only way to bring it all together to say Okay, this is what takes priority. If there's an event that has happened, what is its correlation to the other downstream systems, devices, components and user applications. And it subsequently, you know, like isolating into the right cause where you can most effectively resolve that problem. Certainly, I would say on demand virtualized resource virtualized resource is the heart and soul of the spirit of status that you can have them on them up so you can automate the allocation of these. Resource is based on, you know, customers consumption, their peaks, their crimes. All of that comes in. You see Hey, typically on a Wednesday, their traffic goes up significantly from this particular application. You know, going to this particular data center, you could have this automated this AI ops, which is just providing those resource, is, you know, on demand and tell us to have a much better commercial engagement with customers and just a much better service assurance model. And then one more thing on top of that, which is very critical, is that, as I was saying, giving that intelligence to the network to start having context of the criticality of a transaction that doesn't exist to it. You can't have that because for that you need to have this, you know, multi layer data. You need to have multiple system which are monitoring and controlling different aspects of your overall and user application value chain to be communicating with each other. And, you know, that's that's the only way to sort of achieve that goal. And that only happens with AI off. It's not possible with them. You can paradise Comdex. >>So Guzman, you clearly articulated some obvious low hanging for use cases that organizations can go after. Let's talk now about some of the considerations you talked about the importance of the network in AI ops. The approach, I assume, needs to be modular support needs to be heterogeneous. Talk to us about some of those key considerations that you would recommend >>absolutely. So again, basically starting with the network. Because if there is, if the network sitting at the middle of all of this is not working, then things from communicate with each other, right? And the cloud doesn't work. Nothing. None of this person has hit the hardest all of this. But then subsequently, when you talk about machine to machine communication or i o T. Which is the biggest transformation to spend, every company is going priority now to drive those class efficiencies enhancements. We've got some experience. The integrity off the tab becomes paramount, right? The security integrity of that. How do you maintain integrity off your detail beyond just the secured network components that Trevor right? That's where you get into the whole arena Blockchain technology where you have these digital signatures or barcodes that machine then and then an intelligent system is automatically able to validate and verify the integrity of the data and the commands that are being executed by those and you determine. But I think the terminal. So I o. T machines, right, that is paramount. And if anybody is not keeping that into their equation, that in its own self, is any eye off system that is therefore maintaining the integrity off your commands and your quote that sits on those those machines Right. Second, you have your network. You need to have any off platform, which is able to rationalize all the fat network information, etcetera. And couple that with that. The integrity peace. Because for the management, ultimately, they need to have a co haven't view off the analytics, etcetera, etcetera. They need to. They need to know where the problems are again, right? So let's see if there's a problem with the integrity off the commands that are being executed by a machine. That's a much bigger problems than not being able to communicate with that machine. And the first thing because you'd rather not talk to the machine or haven't do anything if it's going to start doing the wrong thing, So I think that's where it's just very intuitive. It's natural. You have to have subsequently if you have some kind of say and let me use that use case Off Autonomous comes again. I think we're going to see in the next five years it's much water rates, etcetera. It will set for autonomous because it's much more efficient. It's much more space, etcetera, etcetera. So whether that equation you're gonna have systems which will be specialist in looking at aspects and Trump's actions related to those systems, for example, an autonomous moving vehicle's brakes are much more important than the Vipers, Right? So this kind of intelligence, there will be multiple systems who have to sit and nobody has to. One person has to go and on these systems, I think these systems should be open source enough that you are able to integrate them, right? If something sitting in the cloud you were able to integrate for that with obviously the regard off the security and integrity off their data, that has two covers from one system to the extremely. >>So I'm gonna borrow that integrity theme for a second as we go into our last question. And that is this kind of take a macro. Look at the overall business impact that AI ops can help customers make. I'm thinking of, you know, the integrity of teams aligning business and I t. Which we probably can't talk about enough. We're helping organizations really effectively measure KP eyes that deliver that digital experience that all of us demanding consumers expect. What's the overall impact? What would you say in separation? >>So I think the overall impact is a lot. Of course, that customers and businesses give me term got prior to the term enterprises defense was inevitable. There's something that for the first time will come to light. And it's something that is going to, you know, start driving cost efficiencies and consciousness and awareness within their own business, which is obviously going to have, you know, abdominal kind of an effect. So what example being that, you know, you have a problem? Isolation? I talked about network security, this multilayered architectural which enables this new world of five g um, at the heart of all of it. It is to identify the problem to the source, right? Not be bogged down by 15 different things that are going wrong. What is causing those 15 things to go wrong, right that speed to isolation and its own self can make millions and millions off dollars to organizations every organization. Next one is obviously overall impacted customer experience. The five g waas. You can have your customers expecting experiences from you, even if you're not expecting to deliver them in 2021 2022. You'll have customers asking for those experiences or walking away if you do not provide those experiences. So for it's almost like a business can do nothing. Every year they don't have to reinvest if they just want to die on the wine. Businesses want to remain relevant. Businesses want to adopt the latest and greatest in technology, which enables them to, you know, have that superiority and continue it. So from that perspective that continue ity, we're ready that there are intelligence system sitting, rationalizing information and making this in supervised by people, of course, who were previously making some of those here. >>That was a great summary because you're right, you know, with how demanding consumers are. We don't get what we want. Quickly we turn right, we go somewhere else, and we could find somebody that can meet those expectations. So it was spent Thanks for doing a great job of clarifying the impact and the value that AI ops can bring to organizations. That sounds really now is we're in this even higher demand for digital products and services, which is not going away. It's probably going to only increase. It's table stakes for any organization. Thank you so much for joining me today and giving us your thoughts. >>Pleasure. Thank you. >>We'll be right back with our next segment.

>> Narrator: From theCUBE Studios in Palo Alto, in Boston, connecting with thought leaders all around the world, this is theCUBE Conversation. >> Welcome back to the Broadcom AIOps Virtual Forum. Lisa Martin here talking with Usman Nasir, Global Product Management at Verizon. Usman, welcome back. >> Hi Lisa, hello, what a pleasure to be back. >> Good to see you. So 2020, the year of that needs no explanation, right? The year of massive challenges, I wanting to get your take on the challenges that organizations are facing this year as the demand to deliver digital products and services has never been higher. >> Yeah, so Lisa I think this is something that's so close to all our hearts, right? It's something that's impacted the whole world equally. And I think regardless of which industry you're in, you have been impacted by this in one form or the other. And the ICT industry, the information and communication technology industry. You know Verizon being really massive player in that whole arena. It has just been sort of struck with this massive concentration that we have talked about for a long time, we have talked about these remote surgery capabilities whereby you've got patients in Kenya were being treated by experts sitting in London or New York, and also this whole consciousness about our carbon footprint and being environmentally conscious, this pandemic has taught us all of that and brought this to the forefront of organizational priorities, right? The demand, I think that's a very natural consequence of everybody sitting at home. And the only thing that can keep things still going is this data communication, right? But I wouldn't just say that that is what's kind of at the heart of all of this. Just imagine, if we are to realize any of these targets that the world is, well leadership is setting for themselves, hey, we have to be carbon neutral by X year as a country, as a geography, et cetera, et cetera. You know, all of these things require you to have this remote working capability. This remote interaction, not just between humans, but machine to machine interactions. And this is a unique value chain, which is now getting created, that you've got people who are communicating with other people or communicating with other machines, but the communication is much more, I wouldn't even use the term real-time because we've used real-time for voice and video, et cetera. We're talking low latency, microsecond decision-making that can either cut somebody's you know, arteries or that could actually go and remove the tumor, that kind of stuff. So that has become a reality, everybody's asking for it. Remote learning, being an extremely massive requirement where, you know, we've had to enable these virtual classrooms. Ensuring the type of connectivity, ensuring the type of privacy, which is just so critical. You can't just have everybody in a go on the internet and access a data source. You have to be concerned about the integrity and security of that data as the foremost. So I think all of these things, yes, we have not been caught off guard, we we're pretty forward-looking in our plans and our evolution, but yes, it has this fast track a journey that we would probably believe we would have taken in three years. It has brought that down to two quarters where we talked to execution. >> Right, massive acceleration. All right, so you articulated the challenges really well, and a lot of the realities that many of our viewers are facing. Let's talk now about motivations AIOPs, as a tool, as a catalyst, for helping organizations overcome those challenges. >> So yeah, now, all that I said, you can imagine, it requires microsecond decision-making. Which human being on this planet can do microsecond decision-making on complex network infrastructure which is impacting end user applications which have multitudes of effect? You know, in real life, I use the example of a remote surgeon. Just imagine that even because of you just lose your signal on the quality of that communication, for that microsecond it could be the difference between killing somebody and saving somebody's life. It is that critical. We talk about autonomous vehicles. We talk about this transition to electric vehicles, smart motorways, et cetera, et cetera, in federal environment, how is all of that going to work? You have so many different components coming in, you don't just have a network and security anymore. You have software defined networking that's becoming a part of it. You have mobile edge computing that is rented for the technologies 5G enables. We're talking augmented reality. We're talking virtual reality. All of these things require that resources and why being carbon conscious, we don't just want to build a billion data centers on this planet, right? We have to make sure that resources are given on demand. And the best way of resources can be given on demand and could be most efficient, is that the decision making is being made at million microsecond and those resources are accordingly being distributed, right? If you're bent relying on people, sipping their coffees, having teas, talking to somebody else, you know just being away on a holiday, I don't think we're going to be able to handle that one that we have already stepped into. Verizon's 5G has already started businesses on that transformational journey, where they're talking about end user experience personalization. You're going to have events where people are going to go and it's going to be three-dimensional experiences that are purely customized for you, how does that all happen without this intelligence sitting there? And a network with all of these multiple layers of spectrum, it doesn't just need to be intuitive, hey, this is my private IP traffic, this is public traffic, you know, it has to now be in to or this is an application that I have to prioritize over another, task to be intuitive to the criticality and the context of those transactions. Again, that's surgeons, surgery it's much more important than husband sitting and playing a video game. >> I'm glad that you think that, that's excellent. Let's go into some specific use cases. What are, some of the examples that you gave, what's kind of dig deeper into some of the what you think are the lowest hanging fruit for organizations kind of pan industry to go after here? >> Excellent, right? And I think this like different ways to look at the lowest hanging fruit. Like for somebody like Verizon, who is the managed services provider, you know very comprehensive medicines, but we obviously have food timing much lower than potentially for some of our customers who want to go on that journey, right? So for them to just go and try and harness the power of their health, foods might be a bit higher hanging. But for somebody like us, the immediate ones would be to reduce the number of alarms that are being generated by these overlay services. You've got your basic network, then you've got your whole software defined networking on top of that, you have your hybrid clouds, you have your edge computing coming on top of that. So all of that means if there's an outage on one device on the network, I want to make this very real for everybody, right? It's a lot device and network does not stop all of those multiple applications or monitoring tools from raising havoc and raising thousands of alarm in their one capacity. If people are attending to those thousands of alarms, it's like you having a police force and there's a burglary in one bag and the alarm goes off in 50 bags, (laughing) how are you going to make the best use of your police force? You're going to go investigate 50 bags, or do you want to investigate one, where the problem is? So it's as real as that, I think that's the first wins where people can save so much costs, which is coming from being wasted and resources running around trying to figure stuff out. Immediately, I'm tied this with network and security. Network and security is something which has eluded even the most you know, I mean amazing of brains in our engineering. Well, we typically have network experts, separate people, security experts, separate people, to look for different things, but there are security events that can impact the performance of a network and then use your application center et cetera. Which could be falsely attributed to the network. And then if you've got multiple parties, which are then the top to clear stakeholders, you can the blame game that goes on, pointing fingers, taking names, not taking responsibility. That is how it's all this happened. This is the only way to bring it all together to say okay, this is what takes priority, if there's an event that has happened, what is its correlation to the other downstream systems, devices, components and these are applications? And then subsequently, you know like isolating it to the right cost, where you can most effectively resolve that problem. Thirdly, I would say on demand virtualized resource. Virtualized resources, the heart and soul, the spirit of status that you can have them on demand. So, you can automate the allocation of these resources based on customer's consumption, their peaks, their trends, all of that comes in and you see, hey, typically on a Wednesday, the traffic was not significantly for this particular application. You know, going to this particular data center, you could have this automated AIOPs, which is just providing those resources on demand. And so if it's to have a much better commercial engagement with customers and just a much better service assurance model. And then one more thing on top of that, which is very critical, is that as I was saying giving that intelligence to the networks to start having context of the criticality of a transaction. That doesn't make sense to me, you can't have that. Because of that you need to have this multi layer data. You need to have multiple system which are monitoring and controlling different aspects of your overall end user application value chain to be communicating with each other, and that's the only way to sort of achieve that goal and that only happens with AIOPs It's not possible with that You can't prioritize transactions. >> So Usman you clearly articulated some obvious low-hanging fruit use cases that organizations can go after. Let's talk now about some of the considerations you've talked about the importance of the network and AIOPs, the approach, I assume it needs to be modular, support needs to be heterogeneous. Talk to us about some of those key considerations that you would recommend. >> Absolutely, so again, basically starting with the network because it says, if the network sitting at the middle of all of this is not working, then things can communicate with each other, right? And the cloud doesn't work nothing. None of this is at the heart of all of this. But then subsequently when you talk about machine to machine communication or IOT, which is just the biggest transformation of every company is going for IoT now to drive those costs, efficiencies enhancement and customer experience, the integrity of data accounts parameter, right? The security integrity of that. How do you maintain integrity of your data beyond just the secure network components that is traversing, right? That's where you're getting to the whole arena of blockchain technology, where you have to use digital signatures or barcodes that machine then and then an intelligent system is automatically able to validate and verify the integrity of the data and the commands that are being executed by those end-user terminal or any terminal by those IoT machines, right? That is paramount. And if anybody is not keeping that into their equation, that's in its own self is any add off system that is there for maintaining the integrity of your commands and your code that sits on those machines, right? Second, you have your network, you need to have any else platform which is able to rationalize all of that network information, et cetera. And a couple of that with that data integrity piece, because for the management ultimately, they need to have a coherent view of the analytics, et cetera, et cetera. They need to know where the problems are again, right? So, let's say if there's a problem with the integrity of the command that are being executed by the machine, that's a much bigger problem than not being able to communicate with that machine in the first place. Because you'd rather not talk to the machine or have it do anything if it's going to start doing wrong things. So, I think that's where it is, it's very intuitive. It's natural, you have to have it. Subsequently, if you have some kind of faith, and let me use that use case of autonomous vehicles again. I think if we're going to see in the next five years that these smart waterways, et cetera. They're all set for autonomous vehicles. It's much more efficient. It's much more space, et cetera, et cetera. So, within that equation, you're going to have systems which will be specialists in looking at aspects and transactions related to those systems. For example, an autonomous moving vehicles brakes are much more important than the wipers, right? So this kind of intelligence, there will be multiple systems to have to say and nobody has to, one person have to go and own these systems. I think these systems should be open source now that they are able to integrate them, right? If something's sitting in the cloud you were able to integrate that with obviously the regard of the security and integrity of your data that has to traverse from one system to the other, extremely important. >> So I'm going to borrow that integrity theme for a second as we go into our last question. And that is this kind of take a macro look at the overall business impact that AIOPs can help customers make. I'm thinking of, you know the integrity of teams aligning business and IT which we probably can't talk about enough. We're helping organizations really effectively measure KPIs that deliver that digital experience that all of us demanding consumers expect. What's the overall impact? What would you say in summarization? >> So I think that will run in fact is a lot of costs that customers and businesses gives me term to the term enterprises, defense was inevitable. This is something that for the first time will come to life. And it's something that is going to start driving cost efficiencies and consciousness and awareness within their own business which is obviously going to have the domino kind of an effect. So, one example being that you have problem isolation. I talked about network security, this multi-layers architecture which enables this new world of 5G. At the heart of all of it, it is to identify the problems to the source, right? Not be bogged down by 15 different things that are going wrong. What is causing those 15 things to go wrong, right? That speed to isolation in its own sense can make millions and millions of dollars to organizations as we organize. Next one is obviously overall impacted customer experience. A 5G world, you're going to have your customers expecting experiences from you, even if you're not expecting to deliver them in 2021, 2022. You would have customers asking for those experience or walking away, if you do not provide those experience. So, it's almost like a business can do nothing every year. They don't have to reinvest if they just want to die on the wine business, as one to remain relevant. Businesses want to adopt the latest and greatest in technology, which enables them to have the periodicity and continuity. So from that perspective, that continuity will read that they are intelligent system getting rationalizing information and making the scene. Supervised by people, of course, who were previously making some of those of you. >> That was a great summary because you're right, you know with how demanding consumers are, we don't get what we want quickly. We churn, right? We go somewhere else and we could find somebody that can meet those expectations. So, it has been thanks for doing a great job of clarifying the impact and the value that AIOPs can bring to organizations. That sounds really now as we're in this even higher demand for digital products and services, which is not going away it's probably going to only increase it's table stakes for any organization. Thank you so much for joining me today and giving us your thoughts. >> Pleasure, thank you. >> We'll be right back with our next segment. (upbeat music)