Please welcome President and Chief Product Officer G2 Patel.
Good morning. How's everyone doing? Great. Welcome to San Diego. Welcome to Cisco Live. This is a particularly special one for me. Chuck mentioned this is one of the most consequential Cisco Lives we've had, but this one is extra special. Ask me why.
My 14-year-old daughter is joining us here today for the very first time.
And you know, I asked her, I'm like, "Hey, this is a really special day for Daddy. Can you make sure that you come to my event?" So, the first question she asked me is, how long is it?
And then this morning, she said, "Dad, it's 8:20 in the morning." But, jokes apart, honey, I love you. Thank you for being here. It's very, very special.
And like Carrie mentioned, stick around towards the end. We've got a really, really special guest, Kevin Wheel here. He's a good friend of mine. He just recently joined the board and I can't wait to share the perspectives that he has with you on what's happening with AI as well. But before that, we've got a very, very, very exciting set of innovations that the team's been working extremely hard on that I want to make sure that we actually share with you. So let's start by thinking about what's happening in the world at a macro level because the next era of AI is here. And if you think about what's happening today, we're moving from two and a half years ago when we had that seminal moment in November of 2020 when ChatGPT arrived. We had this kind of notion of chatbots that intelligently answered our questions and it felt like magic. And we're moving from that era to now where all of us are used to that, to an era where agents are autonomously going to be able to conduct tasks and jobs on behalf of humans.
And this is going to have a profound set of implications in the world that all of us will actually get affected by and all of us will have an opportunity to really make a tremendous amount of positive light with. One of the big areas though that's going to be fundamentally impacted by this is the workforce. And today 100% of the workforce that we actually participate in is humans. What we're going to have is a tremendous amount of augmentation to this workforce with agents, with applications, with robots, with humanoids that'll actually now participate along with the workforce that we have. And so what it does is it actually massively compounds the capacity of throughput that we can have. So 8 billion humans will feel like we have the throughput capacity of 80 billion humans.
But what this is going to have is a fundamental set of implications on the underlying infrastructure that's going to be needed to power this movement. And it's essentially going to have massive shifts in architectures. Like Chuck mentioned, there's going to be a shift in the architecture where it's not just going to be around public clouds. You'll actually have a good combination of public cloud and private cloud because there's a reacceleration especially with inferencing workloads where organizations want to have their own private cloud data center capacity built out for AI.
Number two, AI is fundamentally going to be network constrained. And so we need to make sure that we actually don't have this be bandwidth constrained. It's also going to be compute constrained and it's going to be power constrained. And three is safety and security is going to be profoundly important in this era because if we don't trust AI, we're not going to use AI.
And so the question you might ask is, so what is Cisco focused on as we go through this entire movement? And why is it that we're going through this entire movement? One of the big reasons that this is important is because if you start to look at the world, there's only going to be two kinds of companies in the world. There's going to be companies that are extremely dexterous with the use of AI and then there are going to be companies that really struggle for relevance. And we want to make sure that we can actually help you be the company in the first category by providing all the necessary infrastructure, safety, and security. And so what we've done, and we've thought long and hard about this, is what should Cisco uniquely focus on that's going to help you take advantage of this movement. And so there's three particular areas. The first one like Chuck mentioned is we want to make sure that we can provide you a world-class set of infrastructure for connectivity as well as for safety and security for this AI-ready data center buildout that's happening. We'll talk a lot more about that. The second area, and that's where by the way all the digital workers are going to live, right. The second area is making sure that we futureproof workplaces where all of us work, whether it be a campus, whether it be a branch, whether it be an office, whether it be a car, what have you. And then the third, and those two will need to collaborate with one another. So we need to make sure that we have an underlying substrate of global connectivity.
And third is we have to make sure that this infrastructure is resilient so that if there is an outage, you're able to get back up as fast as possible. So those are the kind of three core areas that we're going to be focusing on. We have a ton of innovation in each one of those three areas that we'll share with you. And all of this is going to be powered by a foundation of AI. Now the question that you might ask is what is unique about Cisco as we do this? What specifically are we doing that only Cisco can bring to the table? And there's three things that we can think about that are very unique and are structural advantages for Cisco. The first one is this notion of providing a platform advantage. And what I mean by a platform advantage is we have a tremendous breadth of capabilities of technology within our portfolio. But unless they all work in harmony with one another, you don't really get the most amount of value from it. But if you can actually reduce the marginal cost of ingestion with every single new technology that you buy from Cisco and every single technology that you buy doesn't just add value by itself, but it also actually compounds value on things that you already own. What we've done is created a very, very advantageous platform advantage for you. So that's number one.
Number two, like Chuck mentioned, is this notion of silicon. We build our own custom silicon, AS6, for the network. Why is that important? First, it actually gives you diversity so that you have choice and you don't have vendor lock-in by just having a single provider for silicon. But the other thing that's actually really important is the way in which we've built out our silicon, the architecture that we've used to build it out has programmability. And what that means is every single time that you want to support a new kind of use case, we don't have to go out and etch it into silicon and do a tape-out of silicon every single time. What you can do is make sure that you have programmability so that you can program the silicon and the cycle times compress and how you might be able to have a new use case afforded to you by that same chip.
And that actually creates a huge amount of acceleration of innovation because in addition to having a full top-to-bottom integration from the silicon to the network to the security, you know, to the models, to the applications, what we're also able to do is make the silicon itself programmable, right. And this is one area that if you do catch Martin, he's probably got the best jacket in this audience of anyone and the best chip in his back pocket, make sure you talk to him. And then the third one is we need to make sure that AI is not an afterthought but a foundational principle of how we build products, a foundational principle of how we operate. So those are the three key areas of structural advantage.
Let's go into the details of what we've innovated in the day in the AI-ready data centers. And as we think about data centers, we are experiencing one of the largest expansions of data centers in human history right now. And it's a phenomenal exponential curve that's only getting faster every single day.
Now the question you might ask is why is that and what is the change in this pattern of data center consumption that's happening? Because we've been for the past couple years the data center buildouts have been very aggressive on the training front, right? We've had a lot of large training runs we're doing with data centers. But what you're now starting to see is it's not just about training the models. It's the inferencing of models where there's a huge amount of demand for data centers that's starting to build up. But here's what's different about the agentic era with the inferencing workloads. In inferencing right now, what you see is if you have the chat era, you know, the inferencing peaks tend to be sporadic on the left-hand side of the chart. The interaction model is very sporadic. I ask a question, it gives me an answer and every once in a while you'll have peaks of compute, right? In the agentic era where you have agents conducting these jobs for you proactively, what you'll have is a sustained perpetual demand for inferencing capacity. And when you have that kind of persistent inferencing need, you actually have to make sure that you change your entire assumptions and the way that the architecture has to get built out.
And so there's a whole new level of demand signal for inferencing that's going to be needed for agentic AI, which is why what you're starting to see is there's, you know, buildouts that are happening all throughout the world. Now Cisco happens to be foundational in these world's large data center buildouts. We've been helping hyperscalers for the past many years in building out data center capacity and making sure that we have connectivity intra-cluster for training runs that we can provide. We've also been helping out neocloud providers who are specialists in building out data centers for AI workloads. Some of them are here in the room and we have a long-standing relationship with service providers. Now the beauty is we learn from all of these and the enterprise also becomes a huge benefactor of it because all the learnings we get from hyperscalers and neoclouds and service providers at scale can then be applied to the enterprise.
And so a couple weeks ago, I was out in the Middle East with Chuck and we actually had some very strategic partnerships that we established with the government of Saudi Arabia and Humane, G42, Stargate UAE. And this is going to continue to keep happening and you should expect us to continue to participate in these massive buildouts of data centers because they're going to be network constrained, they're going to have a prerequisite of safety and security and we want to make sure that we can participate in that.
But over the past six months, what's actually been staggering is the amount of innovation that we've actually had happen in this area of data centers. So if you just look at the momentum we've had in the past six months, all of these capabilities that we have on the screen right now are capabilities that we just launched and are available today in the past six months. Now my daughter Iman was very clear about, dad, don't go over. So I'm not going to go and drain this slide and go through every single one of these capabilities. But what we'll do is we'll talk about just a few of them in a little bit more detail.
And so if you think about some of the really consequential capabilities that we've launched, the first one is providing you flexible capacity in the servers with GPUs. So you can actually start small and scale fast based on your needs. And so you can start with two GPUs in your server, then go to four, then go to eight, and you can actually continue to keep scaling. The second area is HyperFabric where we're fundamentally reimagining the data center lifecycle. The third is Intersight, which is one of the world's best management planes for managing, you know, our UCS servers and our compute business and that actually integrates with the rest of the platform. The fourth is a completely revolutionary product that we built around safety and security for securing AI itself, which is a common substrate of security that you're going to have across every model, every agent, every cloud, every application that you might build with AI. And then lastly, we wanted to make sure that we also provided a full-stack solution in a reference architecture with these AI Pods. So you can have compute, security, and storage and networking all provided in a single box. We'll partner with partners like VAST on the storage side and others. And we'll also make sure that we'll have compute, networking, and security in that pod. So those are some of the things. And by the way, all of these are available today, right? You can use them. There you go. Thank you. One person's really excited. Chuck says there are three actually, not one.
But the question that a lot of you are here for is not just what we've delivered over the past six months. What are we planning to deliver as we move forward? But before we do that, it's not just about the enterprise. What we've also done is done an equal amount of momentum with service providers because service providers are the backbone of global connectivity and we've been partnered with service providers for decades now. In fact, we've been with them in this journey all along. We started with helping them with the voice transition, then data, then video, and then now we're helping service providers with the move to AI and having them be able to assist their customers with this transition to AI.
And in February, we had our Cisco Live in Amsterdam and we announced a brand new architecture called the Agile Services Network which essentially was infrastructure and validated designs for service providers. And what we did over there was we not only provided this architecture, but we launched a couple new Cisco 8000 series routers at Cisco Live EMEA and we've got a couple more that are coming right now at this event. We have this notion of, you know, optics for the long haul and ultra-long haul. So you can now do data center interconnects over 3,000 kilometers. We've got AI automation so that you can manage your estate effectively and you've got provider connectivity assurance. So these are some examples of what we're doing with service providers. So you've seen a fair amount of innovation we've done on the enterprise side. You've seen a fair amount of innovation we're doing on service providers. The question you're asking though is what are we announcing today? Right? And so one of the areas that a lot of you have given us a lot of feedback on is please make it simple for me to manage the Cisco estate.
And I am so excited to announce my first announcement. It's always special. The first announcement is always a special one which is a unification of the Nexus Dashboard where NX-OS and ACI fabrics come together. Right. So, this is a really big deal. This is something you've been asking for for a long time. Excited to let you know it's going to be shipping in July. And now we are going to have one brain for all of our data center network fabrics.
Now, what's also important is that we actually have an ecosystem of partners that we're working with. We're not just working in isolation from everyone else. And one of the most important partners in this industry that we have is NVIDIA. We've got a long-standing relationship with NVIDIA. In fact, six years ago, we decided to actually have an NVIDIA chipset in our collaboration devices. And that's fundamentally changed how AI can be brought at the device level. And that's not only helped our applications, it's also helped third-party applications that the device supports like Microsoft Teams that can actually take advantage of all the exciting AI capabilities. So we had started with that, but over the course of the past year, we've really doubled down on the partnership.
And let's talk about a few of these data center innovations we've done with NVIDIA. The first one is an announcement that we made not too long ago which was this notion of a Cisco AI Secure AI Factory with NVIDIA and essentially it's a reference architecture where we happen to be the first non-NVIDIA silicon provider as part of the reference architecture and, you know, we want to make sure that we in this data center buildout we're working closely with NVIDIA and we are part of their reference architecture but we wanted to make sure and this is available today by the way. We wanted to make sure that we continue this buildout. And so what we now have is the next level of this where our switches are now fully integrated into the NVIDIA Spectrum-X architecture and they deliver low-latency intra-cluster communication. So what that means is I can have the Cisco switch that's working with the NVIDIA Nyx and that's actually available for you to see in a demo in the World of Solutions. So make sure you check it out. Right. And so essentially this is a very exciting kind of time because we're continuing the clock speed with which we're making these innovations is very, very fast.
But we're also doing more with respect to AI safety and security with NVIDIA and this is a really big deal. We launched our product AI Defense that I mentioned earlier back in January and now we're announcing that open models developed with NVIDIA's NeMo framework can now be validated and secured by Cisco AI Defense. That's a big deal.
So hopefully what you see is we're working together to accelerate the adoption of AI because the way that adoption of AI is going to scale is you need to make sure that safety and security is established and people trust these systems because if they trust these systems they're going to use these systems. It's a very counterintuitive thing because in the past security was always at odds with productivity. And now what you're starting to see is security is a prerequisite for adoption of AI. It's a prerequisite for success because if people don't trust the system, they're not going to use it. So I hope you see how committed Cisco and NVIDIA is to advancing this AI market with the adoption. Now our focus doesn't stop here on security. What we want to do is fundamentally reimagine security in today's hyperdistributed world. So we want to make sure that we rethink how this architecture is going to operate. And so the team has been working really hard on this particular problem and they've put together a video. Let's take a look.
The world has changed. Users, devices, and AI-powered applications are everywhere. But security is not. It's still something that comes in a box until now. Introducing Cisco Hybrid Mesh Firewall, protecting workloads wherever they live. Now policy enforcement can be distributed in our price-performance-leading firewall appliances as well as in virtual firewalls with eBPF in modern operating systems for visibility into the inner workings of AI-native applications or with a hardware accelerator placed right in the server complex. And perhaps most interestingly, we fuse security right into the fabric of the network using hardware-accelerated smart switches. All of this is unified with our AI-native Security Cloud Control platform delivering granular application-specific controls. So if it has a vulnerability, we compensate for it. Or if an attacker is moving laterally, we see it and stop them. And we feed all the data into Splunk. It's distributed optimized enforcement with unified management. But here's the best part. You don't have to rip out your existing firewalls. Because with Cisco's Hybrid Mesh Firewall, not only can we push rules into Cisco devices, we can also push them into your existing third-party firewalls. It's security fused into the fabric of the network, providing protection for every workload, every connection, every time. Cisco Hybrid Mesh Firewall, it's security for the way the world is now.
It's pretty cool, right? Now, here's the big takeaway. Cisco has categorically the industry's most complete hybrid mesh firewall solution in the market. Period. Full stop. I'm so proud of this team of what they've done. But we wanted to make sure that we actually continued to keep innovating in all dimensions of the hybrid mesh firewall. And one of those areas is our core firewall offerings as well. And so I am delighted to announce that we have the ultra-high-end firewall, the Cisco Secure Firewall 6100 series that's going to be available in October. It's the highest performance density for data centers. This is a long time coming. That's not all. We're also going to announce a Cisco Firewall 200 series for branches also available in October and that's going to have an advanced on-box threat inspection for branches. And so with these two additions, we've completed the refresh of our entire lineup. Well, we've never completed the refresh. We're already working on the next version, but this is the entire lineup at this point from the 200 series to the 1200 to the 3000, 4000 to the 6000 series, and then also the public and private firewalls. All of those are refreshed. All of them have the industry's best price-performance ratio. We think you're going to love them. They're all managed by one management plane called Security Cloud Control, which is also the management plane that manages the rest of the hybrid mesh firewall. How cool is that, right?
But what we wanted to do was we wanted to make sure that some of these core technologies that we're building solve some really big problems that we're facing as society in the market right now. And one of the big problems that we're facing is it's really hard to patch networking gear, right? And what we wanted to do was do something completely innovative. And as we had started building Hypershield, there was this kind of amazing capability that we had built that could allow you to provide shielding for a vulnerability that comes out. Here's a really interesting thing. When a vulnerability is exposed, it takes about 45 days to patch the vulnerability, but it only takes three days for an exploit, right? And so you've got this time where you're just exposed when a vulnerability has actually been announced in the market. So we wanted to do something completely revolutionary. And so I'm announcing Live Protect which essentially is a vulnerability shielding mechanism for all Cisco networking devices. And we're going to start this with NX-OS. And then we're going to make sure that this will actually go to our entire estate over time. And what this means is when you have a vulnerability, there'll be a compensating control, a shield that'll be applied to the vulnerability within minutes. And then over time as you have a patch the vulnerability will be taken away. So amazing innovation, Live Protect, it's going to be available for NX-OS in September of 2025. So if you notice a pattern, thank you. If you notice a pattern I'm actually telling you about all of these announcements that are coming out and they're all imminent. These are not very far out. Now, it's one thing to hear from me. I get my paycheck from Cisco, but let's hear from a customer who's actually completely reimagining the data center with Cisco technology. Alan Rosa, who's the SVP and CISO of CVS Health. Alan, come on up on stage.
How are you, sir?
I'm good. I'm good. It's good to see you.
So, mesh firewalls, unified management, and Live Protect.
Live Protect. We know that was not scripted. Thank you, sir.
So, how has AI fundamentally changed your approach with modernizing your data center? Alan, tell everyone about it. You're doing some really cool stuff.
So, we're in an interesting inflection point.
I like your kicks, by the way.
Oh, thank you. They're very white. So we're at an interesting inflection point in that we have a chance to modernize our eight existing enterprise data centers and consolidate them and move into new facilities. We're taking that opportunity to move beyond the traditional workload, embedding AI capabilities inside of our fabrics. We're thinking about GPUs first and how do we prepare to deploy more advanced agentic solutions and on top of that we're taking a security lens to it. So as we think about deploying a workload, how we evolve a workload, how we deliver it, it's all going to be done in a secure context. And so our teams are very excited about that opportunity.
And how is networking changing as it pertains to that as well.
Well, so obviously the modernization journey is there, high degrees of automation. Our teams are experimenting with agentic solutions now. And our goal is to make the network far more autonomous than it is today. And then create opportunities for our technical operations teams not to compromise stability, resiliency, and security. Just last week, we announced a 10-year, $20 billion investment to advance AI and technology. So, I would say to channel my inner Chuck, we mean it. It's fantastic.
And so, talk to us. You're the CISO. Talk to us about the security domain and how that plays into this whole AI arena.
So we took a unique approach the way we built our operating model. So it starts with our people.
And we have some of the best engineers in the world. Really thoughtful leaders that think about how we put this stuff, putting the customer, the patient and the member first. And so when we combined our teams, we have our security and our privacy engineering leaders, our infrastructure leaders, our digital workplace leaders, our enterprise architect teams together. So these teams, they look at a problem by design. It's our security leaders influencing infrastructure designs. It's our infrastructure leaders influencing security decisions. It's our digital workplace leaders thinking about how is that going to represent itself, the people who consume our services and allows us to build more fluid products. We're seeing that pay off the last couple years.
This seems like a fair amount of innovation. Like, what is the cultural implication that you kind of, how do you deal with the culture of change internally within your organization as you're thinking through this?
So the thing to understand about CVS Health is that we are a people company. Folks come to us when they're facing obstacles in their health journey. These are critical moments for them and they trust us to be there for them. And the way we think about our members, our patients, and our customers is the same way we think about our colleagues. And we want to create meaningful career journeys for them. They feel like they're owning their work. They're allowed to innovate and experiment. And we're putting the work in the hands of the people we trust the most, which is our CVS colleagues. Now, there'll always be room for providers and partners, but we're going to be far more strategic and targeted who we invite to partner with us because our colleagues need to lead.
You know, I'm going to tell you a little bit of a story. My mother passed away like two and a half years ago. She was the most brand loyal for CVS of any brand in the world. And one time we had to change pharmacies for like a quick month and she would not have it. She's like, "I need CVS. I need you to make sure that my medications are from CVS. The lady's really nice." Like that translates to customer sentiment in a very, very good way. So what's next? What's next with CVS?
Well, we're going to continue. We're aspiring to build a vertically integrated digital health experience which takes the best of our health benefits, our PBM, our pharmacies, bring them together so that it's easier for our members and our patients to engage with us. And we're going to offer that out to the public. We're hoping that drives more visibility, more connection with these folks. And on top of that is continuing to evolve our internal working culture. I mean, as I've said a million times before, we're not going far without the best colleagues in the world, and I think we have the best people working on this.
Alan, you're doing an amazing job. Thank you again. What an honor to serve you, my friend.
Take care, Alan Rosa.
All right. Next, I want to talk to you about how we are futureproofing the workplace where all of us operate, whether it be a campus, branch, office, home office, your car, whatever place. And if you think about the workplace for tomorrow, it's going to be very different from the one it is today. Because the workplace is going to have a fundamental augmentation of agents and robots and IoT devices, and there's going to be different ways that people collaborate within the workplace. And you're going to have constraints around power. You're going to have threats around how, you know, bad actors and adversaries attack your workplace. So all of these pieces are going to be things that have a very different set of demands from your infrastructure.
So what we wanted to do was focus on three very specific things in futureproofing workplaces. Number one, we want to make sure that we can provide operational simplicity powered by AI. This is something that all of you have asked for for a long time. We've got some really exciting things to dramatically simplify the way in which you work and the way in which you manage your estate and your infrastructure. Number two, we want to make sure that we have scalable devices that are ready for AI. And we've got some really exciting new devices that we're announcing. And number three, like Chuck mentioned, we're fusing security into the fabric of the network just like we did in data center. So let's start with the operational simplicity powered by AI as the first one. Now this is an area which is near and dear to a lot of you and basically what we're doing is we're unifying Catalyst and Meraki. I was thinking there would be a lot of excitement for that one. At the hardware level, with license management, with licensing as well as with management. Now let's dig into the unified management because that's an area that a lot of you have had a lot of energy on. And so we're announcing for the very first time a unified cloud management with a single dashboard for Meraki, Catalyst and all next-gen devices. We've been talking about this for years. So what I told the team was I'm not going there and giving them another date. So this is available now.
But there's more because we're also giving you assurance for every connected experience by announcing a multi-layered assurance capability. And I'm going to take a moment over here and explain what this means. Because when you think about assurance, you know, we've been very good when you think about managing complexity. And you have an experience that's not perfect and you want to pinpoint exactly why that experience is not perfect. We've been very good at managing and depicting what's happening in the unowned infrastructure. But what we've not always been the best at is the owned infrastructure. And so what this announcement does is it expands our visibility for both owned and unowned for networks, for clouds, for wired and wireless devices. So, by the way, at this point in time, we are by far the most comprehensive when it comes to assurance being provided for owned and unowned devices. And this is going to be available this month. Right?
But the reality is, you know, even though this is the best end-to-end assurance and the best kind of converged management, we didn't want to just simplify experiences for you. We want to fundamentally reimagine it. And this is a moment that we've actually been very excited about and working hard on for at least a year and a half. And it gives me so much pleasure and so much joy to introduce this concept of Agentic Ops. And basically what Agentic Ops is is the ability to have cross-domain visibility and management. This notion of multiplayer infrastructure management. If you think about your day-to-day job, it's not like you're working in a silo by yourself. You work with many other people troubleshooting when something goes wrong. However, all the tools are single-player tools. We wanted to actually build a tool inherently from the ground up that was a multiplayer collaborative tool and that's going to be powered by a purpose-built AI model for networking. This is very, very cool. Let me get into the details of this because what we're announcing first and foremost is a purpose-built model for network experts called the Deep Network Model.
Now what this is, you know, recently Sam Altman was at an event and he had a very insightful line that he talked about which is the future of models is going to be that the models are going to be very small in size some of them. They might have a trillion-token context window and they'll be integrated into everything because today if you think about it a lot of the models act as databases and in the future you want to make sure that the models can go smaller in certain use cases. This is one example of one of those models which is a Deep Network Model. It's purpose-built for networking for expert accuracy and it actually performs 20% better than some of the other models as it pertains to the domain of networking. Right now this is great but what does this do? What is this going to give us as an end outcome? Well to showcase this model what we are announcing for the very first time is a completely reimagined way that AI is going to help you manage your entire estate and it's called AI Canvas. It's a completely reimagined user interface. In fact, it is a generative UI. That means that it generates dashboards on the fly in a multimodal way. And rather than me talking about it, what I thought I'd do is I'd have our head of AI and platforms, DJ, come up on stage and give you a live demo of this. So, DJ, come on up.
All right, buddy. All right. What do you have to show us?
All right. Thanks for having me here, G2. You know, this is really exciting. I want to show you what the team's been working on. All right. Let's get into this. I'm going to hop in here. This is AI Canvas. What you're seeing here on the left-hand side is the AI assistant where you can use natural language to be able to communicate with the canvas. And then on the right is where the agents and humans are going to work together to be able to solve problems. All right. Now, let's imagine that there is a network outage, right? And you want to be able to start, you know, troubleshooting this. Normally what happens is you actually have a ServiceNow ticket that's raised and the ticket has all of the details, you know, about what's going on. What I'm going to do is I'm going to post this message here and tell the assistant to go fetch that data. And automatically, you'll notice that it's gone out to ServiceNow and pulled all of that information right here. Folks, just so you know, this is a live demo. So, I'm keeping my fingers crossed as I get into this. Normally, when an admin sees this, they have to now go to different screens to be able to go out and start troubleshooting. With AI Canvas, we're making this incredibly simple. I'm just going to type in here, troubleshoot this ticket. Now, this is where it starts to get really cool. The Deep Network Model that you just announced is going to start breaking down this ticket and analyzing that it needs more data. It now is going to go to Meraki and pick out the packet loss trends and it's going to generate the UI for you. So, you just saw that it created a widget.
That widget was not something you built. It actually generated the widget.
AI generates that widget. It recognizes that the next thing that you're going to need is a time series data. And so you can see it's constantly thinking right here at the bottom and it's pulling data that it needs. It recognizes now that it needs data from ThousandEyes, not just from Meraki, to be able to show you exactly a path visualization that tells you where this outage might be happening.
And then as soon as you see that, you know, you can see boom, you know, it's going to generate that path visualization for you and lays it all out. Now, here's the other part. The assistant's also going to start giving you remediation suggestions of like what you need to do to be able to start debugging this issue. But you also mentioned that, you know, troubleshooting almost always is a multiplayer sport. So, if you wanted to invite other team members to jump in over here, it's really simple. You invite them to the board. I'm going to invite Lizzy here. And with a single click, it's going to generate a summary of all things that I have done so far. I don't have to sit down and type out an email to get Lizzy on the same page. And with a single click, Lizzy can jump on the board and start working together with me.
Completely collaborative.
Completely collaborative. Completely multiplayer.
All right. That's pretty cool, right? Okay. So here's the thing. You know, Lizzy might come in and say, "Listen, I like how you're doing this, DJ, but you know what? I'm not so sure. I want to verify using another source of data." She might come in here and say, "I want to correlate this with the application logs to see what's happening." Now these logs are not inside of ThousandEyes or Meraki, but these logs are inside of, say for instance here, Splunk. What the Deep Network Model is going to do, it's going to recognize that this data is not here and it needs to go to a different place and it's going to pull that information and start to render that right here. It's going to happen any moment now. There it is. All right. And it's really simple here. You could go ahead drag and drop this into your canvas. And what you're seeing here is the performance of that application is starting to drop. That's your red line. And the blue line is indicating your packet loss percentage that's starting to go up.
So clearly there's a correlation.
Yeah, exactly. So the interesting part about AI Canvas here is it's not just for monitoring. You can start to take actions just using the same console as well. And this is where the Agentic Ops kicks in. Let me show you how. Now back here the assistant said, hey, you can go ahead take these remediation actions. It says you got to configure a QoS policy on the MX device.
So I'm going to go ahead ask the assistant to apply the QoS policy, or QoS stands for quality of service, and again it's going to go out identify exactly which device it needs to apply this to or a set of devices and it's going to automatically apply that and give me a widget that I can now go ahead add back to my canvas. Now there's something really cool over here. You'll notice that it actually says, it gives you an opportunity to revert a change.
This is where we're making sure that there's always a human in the loop, right?
That can come in and change things up, you know, based on what they're seeing. Now, back to the dashboard over here. Now that we've applied the QoS policy and the agents are going out and doing the job for you, you want to make sure that these things are happening the way you expect it to. So, I'm going to come back in here and say, "Hey, I want to keep track of this. I want to monitor how this change is affecting my environment, right?" And this is where these things are not just a one-time widget. The Agentic Ops ensures that it's constantly going back out fetching you live refresh data. So, it's always current whenever you come into this board. So, you're going to see it's thinking right there and it's going to pop back out in a second. But you're going to see that the graphs, the data from the Splunk and the application logs is going to go through a change. Boom. You notice that the packet loss has dropped.
And the application's back up and running. All of this was live. And finally, you have to write a report. With a single click of a button, you're going to be able to generate a report and you can add that report. And again, you don't have to sit down and write this. It takes a lot of time for the admins to do this. It's going to automatically generate that and you can download that as a PDF and you're off to the races, you know.
Can I just tell you a story? So when he said to me, he's like, "G2, I want to do this demo live." I'm like, "Are you sure?" Because it's like, you know, 20,000 people connecting to the same network. It's going to be embarrassing if it doesn't work. He's like, "I don't think it's credible if we don't do it live. We have to do a live demo." And DJ Sump, hang on. Hang on. You're not going anywhere. So, when are you going to ship this?
This is going to be in the hands of customers by October of this year. Right around the corner.
That's like, you know, you're the longest time frame of anyone. Could you pull it up a little bit? You got like some people who are... Do you guys want it earlier?
You take it in that... Okay. Here's one thing though. The Deep Network Model is going to be available by the end of this month for all CCIE users at the Cisco U portal. All right, he redeemed himself.
