>>From around the globe. It's the cube with digital coverage of an AI ops virtual forum brought to you by Broadcom. >>Welcome to this preview of Broadcom's AI ops virtual forum on your host, Lisa Martin. And joining me to give you a sneak peek of this event. That's on December 3rd is streaming of Boston Rajagopal or Raj, the head of AI ops at Broadcom. Raj. This has meant it's coming up in a couple of weeks. Excited, >>Good to be here. I am excited, Lisa, uh, you know, um, customers are poised for growth, uh, in 2021. And, uh, they, uh, we believe they all, they will also come out of the pandemic to grow their business and serve, uh, their customers. Uh, you know, well, they have two key challenges. How do you grow at the same time, operate with efficiency, right? These two challenges are decision-makers are struggling with every day at scale. That is why they do digital transformation at scale. And our key influencers like it, operators and SRE personas are helping our decision-makers in our customers to drive the efficiency. They are trying to, uh, focus on converting outputs to outcomes. That's what AI ops is all about. And you're going to hear from us. >>Yeah. And we've got a panel of experts here. Rich lane, senior research analyst for Forrester is going to be joining us as well as nastier, the global product management at Verizon. And of course, Raj, you're going to be hearing some of the latest trends for AI ops. Why now is the time Raj, what are some of the key takeaways that you think those key influencers and those decision makers are going to walk away from this event? >>So the, you know, our decision makers and key influencers have a single question in mind when they deal with enterprise large enterprise scenarios, the questions that they get asked by their skill level execs are, are you ready? Are you ready? When remote work is the norm, are you ready when you have to optimize your investments? And are you ready when you have to accelerate your transformation at scale to operate as a digital enterprise, all of this requires them to think and act differently from people process technology. And how do you bring all of this together? Under the ages of what we call AI ops is what they're going to learn about. >>Another thing too, is you're going to hear the latest industry trends on AI ops from Raj and the panel of experts that mentioned a minute ago, how organizations like yours are finding value from AI ops and something that Raj talked about a minute ago is understanding why now is the time to be ready for AI ops. So Raj and I look forward to you joining us along with our other panelists, December 3rd, register for the Broadcom AI ops virtual forum today.

>>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 AI Ops Virtual Forum. Lisa Martin here with Srinivasan Rajagopal, the head of products and strategy at Broadcom Raj Welcome. >>Good to be here, Lisa. >>I'm excited for our conversation, so I wanted to dive right into a term that we hear all the time. Operational excellence, right? We hear it everywhere in marketing, etcetera. But why is it so important to organizations as they head into 2021 tell us how ai ops as a platform can help? >>Yeah. Thank you. First off, I wanna I wanna welcome our viewers back and I'm very excited Toe share more info on this topic. You know, here's what we believe. As we work with large organizations, we see all our organizations are poised toe get out off the pandemic and look for growth for their own business and helping customers get through this tough time. So fiscal year 2021 we believe, is going to be a combination off, you know, resiliency and agility at the at the same time. So operational excellence is critical because the business has become mawr digital, right? There are gonna be three things that are gonna be more sticky. You know, remote work is gonna be more sticky. Um, cost savings and efficiency is going to be an imperative for organizations. And the continued acceleration of digital transformation off enterprises at scale is going to be in reality. So when you put all these three things together as a team, that is, you know, that's working behind the scenes toe help the businesses succeed. Operational excellence is going to be make or break for organizations. >>Russia with that said, if we kind of strip it down to the key capabilities, what are those key capabilities that companies need to be looking for in an AI ops solution? >>Yeah, you know. So first foremost AI ops means many things to many, many folks. So let's take a moment to simply define it. The way we defined AI ops is it's a system off intelligence human augmented system that brings together full visibility across app, infra and network elements that brings together despite of data sources on provides actionable intelligence and uniquely offers intelligent automation. Now the technology many folks draw is the self driving car, right? I mean, we are in the world of Tesla's, but, you know, but self driving data center is is too far away, right? Autonomous systems are still far away. However, you know, application off the I M l techniques toe help deal with volume velocity, veracity of information. Eyes is critical. So that's how we look at AI ops and some of the key capabilities that we that we that we work with our customers to help them around 48 years. Right? First one is eyes and years. What we call full stack, observe ability. If you do not know what is happening in your systems, you know that that serve up your business services, it's gonna be pretty hard to do anything in terms of responsiveness, right? So from stack of their ability, the second piece is what we call actionable insights. So when you have disparaged data sources, tool sprawls, data coming at you from, you know from database systems, I T systems, customer management systems, ticketing systems, how do you find the needle from the haystack? And how do you respond rapidly from a myriad off problems? A sea off read The third area is what we call intelligent automation. Well, Identifying the problem toe Act on is important and then acting on. Automating that and creating a recommendation system where you know you could be proactive about that is even more important. And finally, all of this focuses on efficiency. What about effectiveness? Effectiveness comes when you create a feedback loop when what happens in production is related to your support systems and your developers so that they can respond rapidly. So we call that continuous feedback. So these are the four key capabilities that you know you should look for in an AI ops system. And that's what we offer us. >>Alright, Russia. There's four key capabilities that businesses need to be looking for. I'm wondering how those help to align business and i t. It's again like operational excellence. It's something that we talk about a lot is the alignment of business and I t a lot more challenging. Is your something done right? But I want you to explain how can a iob help with that alignment and align? I t outputs to business outcomes. >>So you know, one of the things I'm going to say something that this, that is that is simple. But it's harder. Alignment is not on systems. Alignment is with people, right? So when people align when organizations aligned, when cultures align, dramatic things can happen. So in the context off AI ops, we see when when saris aligned with the develops engineers and information architects. And, uh, you know, I t operators, you know, they enable organizations to reduce the gap between intent and outcome or output an outcome that said, you know, these personas need mechanisms toe help them better align, right, help them Better visual. I see the you know what we call single source of truth, right? So there are four key things that I wanna call out when we work with large enterprises. We find that customer journey alignment with the you know what we call I T systems is critical. So how do you understand your business imperatives and your customer journey goals? Whether it is card toe purchase or whether it is, you know, Bill shock scenarios and swan alignment on customer journey to your I T systems is one area that you can reduce the gap. The second area is how do you create a scenario where your teams can find problems before your customers do right out. It's scenarios and so on. So that's the second area off alignment. The third area off alignment is how can you measure business impact driven services right? There are several services that an organization off course as the 19 system. Some services are more critical to the business. Well, then, others and thes change in a dynamic environment. So how do you How do you understand that? How do you measure that? And how? How do you find the gaps there? So that that's the 3rd 80 off alignment that we that we help. And last but not least, there are. There are things like NPS scores and others that that help us understand alignment. But those are more long term. But in the in the context off, you know, operating digitally. You want to use customer experience and, you know single business outcome as as a key alignment factor, and then work with your systems of engagement and systems of interaction, along with your key personas to create that alignment. It's a people process technology challenge, actually. >>So where is one of the things that you said there is that it's imperative for the business toe. Find a problem before a customer does. And you talked about outages there. That's always a goal for businesses, right to prevent those outages. How can Ai ops help with that? >>Yeah, so, you know, out they just talk, you know, go to resiliency off a system, right? And they also goto have, you know, agility off the same system. You know, if you are a customer and if you're ripping up your mobile happened, it takes more than you know, three milliseconds. You know, you're probably losing that customer, right? So I would just mean different things, you know? And there's an interesting website called don't detector dot com that actually tracks all the outages of publicly available services, whether it's your bank or your, you know, telecom service or mobile service and so on and so forth. In fact, the key question around outages for from from you know, executives are the question of Are you ready? Right? Are you ready to respond to the needs off your customers and your business? Are you ready toe rapidly to solve an issue that is impacting customer experience and therefore satisfaction. Are you creating a digital trust system where customers can be, You know, you know, customers can feel that their information is secure when they transact with you. All of these getting toe the notion of resiliency and outages. Now, you know, one of the things that I often you know work with customers around, you know, that we find is the radius off. Impact is important when you deal with outages. What I mean by that is problems occur, right? How do you respond? How quickly do you take? Two seconds? Two minutes, 20 minutes. Two hours, 20 hours. Right To resolve that problem. That radius of impact is important. That's where you know you have to bring again. People process technology together to solve that. And the key thing is, you need a system of intelligence that can aid you your teams, you know, look at the same set of parameters so that you can respond faster. That's the key here. >>But as we look at digital transformation at scale, Raj, how does a apps help influence that? >>You know, I'm gonna take a slightly long winded way to answer this question. See, when it comes to digital transformation at scale, the focus on business purpose and business outcome becomes extremely critical. And then the alignment off that to your digital supply chain right are the are the are the key factors that differentiate vintners in the in their digital transformation game. Really? What we have seen with with winners is they operate very differently. Like, for example, you know, 19 assures its digital business outcomes by shoes per second, right apple buy iPhones per per minute. Tesla by model threes per month. Are you getting getting it right? I mean, you wanna have, ah, clear business outcome, which is a measure off your business. In effect, I mean, easy right, which which my daughter use. And I use very well, right? You know, they measured by revenue per hour, right? I mean, so these are key measures, and when you have a key business outcome measure like that, you can align everything else because you know what these measures you know, for a bank, it may be deposits per month. Right now, when you move money from checking account to savings account or when you do direct deposits, those are you know, banks need liquidity and so on and so forth. But, you know, the key thing is that single business outcome has a starburst effect inside the I T. Organization that touches a single money movement from checking account to savings account can touch about 75 disparage systems internally. Right? So those think about right. I mean, all we're doing is moving money from checking accounts savings account. Now that goats in tow, a IittIe production system, there are several applications. There is a database there is there are infrastructures, their load balancers, that our webs, you know, the Web server components, which then touches your your middleware component, which is a queuing system right, which then touches your transactional system on. Do you know which may be on your mainframes what we call mobile toe mainframe scenario, right? And we're not done yet. Then you have a security and regulatory compliance system that you have to touch a fraud prevention system that you have to touch right, a State Department regulation that you may have to meet and on and on and on, right? This is the challenge that I t operation teams phase. And when you have millions of customers transacting right? Certainly this challenge cannot be, you know, managed by, you know, human beings alone. So therefore, you need a system off intelligence that augments human intelligence and acts as you, you know, your your eyes and ears in of a toe point pinpoint. Their problems are right. So digital transformation at scale really requires a well thought out ai ops system a platform and open extensible platform that you know, that is heterogeneous in nature because their stools problems in organizations. There is, uh, you know, a lot of data bases in systems. There are million's off, you know, customers and hundreds off partners and vendors, you know, making up that digital supply chain. So, you know, AI ops is at the center off, enabling an organization achieved digital up, you know, transformation at scale. Last but not least, you need continuous feedback loop. Continuous feedback loop is the ability for a production system toe. Inform your develops teams your finance teams, your customer experience teams your cost Modeling teams about what is going on say that they can so that they can reduce the intent outcome gap. All of this need to come together. What we call biz obs for ideal abs. >>That was a great example of how you talked about the Starburst effect. Actually never thought about it in that way. When you give the banking example but what you should is the magnitude of systems, the fact that people alone really need help with that and why intelligent automation and air ops could be transformative and enable that scale. Raj, it's always a pleasure to talk with you. Thanks for joining me today. Yeah, >>great to be here >>and we'll be right back with our next segment.

>>from around the globe. It's the Cube with digital coverage of AI ops. Virtual Forum Brought to You by Broadcom >>Welcome to this preview of Broadcom's AI Ops Virtual Forum on your host Lisa Martin, and joining me to give you a sneak peek of this event that's on December 3rd is Srinivasan, Rajagopal or Raj, the head of a I Ops at Broadcom Raj, this event is coming up in a couple of weeks. Excited. >>Good to be here. I am excited, Lisa. You know, um, customers are poised for growth in 2021 and, uh, they are we believe they all. They will also come out off the pandemic toe, grow their business and serve their customers, you know? Well, they have to key challenges. How do you grow at the same time, operate with efficiency, right. These two challenges our decision makers are struggling with every day at scale. That is why they do digital transformation at scale. And our key influencers like I t operators and SRE personas are helping our decision makers in our customers to drive the efficiency they are trying toe focus on converting outputs to outcomes. That's what the eye ops is all about and you're gonna hear it from us. >>Yeah, We've got a panel of experts here. Rich Lane, senior research analyst for Forrester, is going to be joining us as well as Guzman nastier the global product management at Verizon. And, of course, Raj, you're gonna be hearing some of the latest trends for AI ops. Why, now is the time, Raj, What are some of the key takeaways that you think those key influencers and those decision makers are gonna walk away from this event empowered with >>So the You know, our decision makers and a key influencers have a single question in mind when they deal with enterprise large enterprise scenarios, the questions that they get asked by their C level execs are Are you ready? Are you ready when remote work is the norm? Are you ready when you have to optimize your investments and are you ready when you have to accelerate your transformation at scale toe operate as a digital enterprise? All of this requires them to think and act differently from people process technology. And how do you bring all of this together under the ages off what we call a I ops is what they're gonna learn about. >>Another thing, too, is you're going to hear the latest industry trends on AI ops from Raj and the panel of experts that we mentioned a minute ago. How organizations like yours are finding value from a I ops and something that Raj talked about a minute ago is understanding why Now is the time to be ready for I also Raj and I look forward to you joining us along with our other Panelists. December 3rd register for the Broadcom AI Ops Virtual form today.

>> 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)