#312 Anurag Dhingra: Inside Cisco's Vision for AI-Powered Enterprise Systems
Episode
47 min
Read time
2 min
Topics
Investing, Leadership, Artificial Intelligence
AI-Generated Summary
Key Takeaways
- ✓Ultra-Reliable Wireless Backhaul: Cisco developed technology beyond traditional Wi-Fi to provide uninterrupted connectivity for factory robots, preventing assembly line shutdowns where even brief network interruptions cause measurable production losses and require seamless roaming across manufacturing facilities.
- ✓Domain-Specific AI Models: Cisco built three specialized models—security (open-weight on Hugging Face), Deep Network Model for networking tasks, and Machine Data Model for Splunk observability—distilled from larger models and trained on 40 years of networking telemetry data.
- ✓Programmable Network Silicon: Custom chips in Cisco switches enable software upgrades to unlock new AI capabilities without hardware replacement, addressing the challenge that infrastructure investments last five to seven years while AI state-of-the-art evolves every six months.
- ✓Agent-to-Agent Communication Standard: Cisco contributes to the A-to-A standard enabling collaboration between specialized agents from different vendors, allowing network management agents to automatically update ServiceNow tickets after resolving issues, mirroring human cross-functional workflows.
What It Covers
Anurag Dhingra explains Cisco's approach to integrating AI across enterprise networking and collaboration tools, including custom silicon development, domain-specific models for network management, and autonomous agents that simplify IT operations while maintaining human oversight.
Key Questions Answered
- •Ultra-Reliable Wireless Backhaul: Cisco developed technology beyond traditional Wi-Fi to provide uninterrupted connectivity for factory robots, preventing assembly line shutdowns where even brief network interruptions cause measurable production losses and require seamless roaming across manufacturing facilities.
- •Domain-Specific AI Models: Cisco built three specialized models—security (open-weight on Hugging Face), Deep Network Model for networking tasks, and Machine Data Model for Splunk observability—distilled from larger models and trained on 40 years of networking telemetry data.
- •Programmable Network Silicon: Custom chips in Cisco switches enable software upgrades to unlock new AI capabilities without hardware replacement, addressing the challenge that infrastructure investments last five to seven years while AI state-of-the-art evolves every six months.
- •Agent-to-Agent Communication Standard: Cisco contributes to the A-to-A standard enabling collaboration between specialized agents from different vendors, allowing network management agents to automatically update ServiceNow tickets after resolving issues, mirroring human cross-functional workflows.
Notable Moment
Dhingra reveals that video background blurring runs on a specialized AI model inside the camera itself, requiring minimal compute power because it only recognizes human silhouettes versus backgrounds—demonstrating how purpose-built models outperform general models for narrow tasks.
Episode Transcript
These days when someone asks me, like, what's new, I think they expect me to start talking about AI. And, of course, there's a lot of AI innovation happening, but networking is foundational. And our goal right now is to apply AI to solve real world problems. And then when we talk about collaboration, it's all about delivering a delightful experience. How do we remove distance between people? So, you know, people who are in a room and people who are remote All fields like together, the technology kind of fades away, and then you can focus on having a conversation. And then how do you improve productivity by leveraging AI, agentic AI, increasing? So that's what's going on at a very macro level. And if you go back, way back, your native networking, there were so many different type of networks, and you had to be on a certain network to talk to people who are also on that network. Couldn't talk across these networks, and that's the problem that Cisco solved. So it was all about interoperability and connecting disparate things. You don't have to focus just on the products that we have. I'm happy to have a conversation about that. Yeah. I'm certainly interested in how you view agents in the enterprise as the challenges there. So let's start by having you introduce yourself to listeners, how you got to Cisco, what you do there. Yeah. So thank you for having me, Craig. I currently run the enterprise networking collaboration business at Cisco as the general manager of both of these technology areas. I've been with Cisco for almost two decades now. I started as a software engineer and then slowly took on sort of leadership roles and progressively increased the scope of what I do at Cisco. Right now, like I said, I'm responsible for the enterprise networking and the collaboration business. Okay. Yeah. I wanted to hear about what's new, obviously. You're responsible not only for the networking, but for the collaboration tools. Is that right? And when I think of collaboration tools, yeah, I think of Webex. Is it broader than Webex? And if so, in what way? And what's new with enterprise connectivity? So two parts to it. Enterprise networking or enterprise connectivity as we like to call it is really about the infrastructure of how people connect to the network, both inside of an organization but also across org boundaries including connecting to the Internet. So that's the connectivity part of it. And then on top of that, the collaboration tools. And Webex, traditionally, is known for video conferencing, video meetings. We also do calling. We have hardware that we build for conference rooms, so that enables people to have group meetings in the conference room. We are also in the contact center and customer experience space. So all of that that part of the collaboration portfolio. And these days, when someone asks me, like, what's new, I think they expect me …
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Books, tools, and gear mentioned in this episode
SignalCast may earn commission on purchases via these links.
Tools
by Splunk
“Cisco built three specialized models—security (open-weight on Hugging Face), Deep Network Model for networking tasks, and Machine Data Model for Splunk observability—distilled from larger models and trained on 40 years of networking telemetry data.”
by Hugging Face
“Cisco built three specialized models—security (open-weight on Hugging Face), Deep Network Model for networking tasks, and Machine Data Model for Splunk observability—distilled from larger models and trained on 40 years of networking telemetry data.”
by ServiceNow
“Cisco contributes to the A-to-A standard enabling collaboration between specialized agents from different vendors, allowing network management agents to automatically update ServiceNow tickets after resolving issues, mirroring human cross-functional workflows.”
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