Episode 37 kicks off Cisco Tech Stories' fourth season with a highlights reel of the best episodes from the past three years. Hosts Nico and Tristan revisit standout interviews and mini‑series, sharing short snippets that cover troubleshooting adventures, accessibility and disability in networking, eBPF, quantum computing, CCIE stories, cruise‑ship deployments and more. Listeners get a concise tour of the podcast’s top picks, practical lessons from Cisco engineers, and an invitation to suggest future guests or topics.

Jeff Schultz joins Jeetu Patel to delve into the evolution of the Cisco Portfolio and how this focus on critical business outcomes for the AI era is delivering real results for the ecosystem.

Jeetu and Anurag Dhingra explore the transformation of physical infrastructure and intelligent software as the foundation for the workplace. As the nature of work continues to evolve, the demand for environments that are both seamless and secure has never been higher.

95% of enterprise IT leaders plan to launch agentic AI projects — but 69% aren't ready. So, what's standing in the way?  In this episode of Scaling AI in the Enterprise, we bring together an expert panel to tackle the real engineering and organizational challenges of AI deployments: the probabilistic nature of AI agents, the limits of traditional testing, and why "making your prompt stronger" is not a strategy.  Host: Eric Knipp, SVP and GM, Cisco Customer Experience (CX) Americas  Guests:   Bhaskar Jayakrishnan, SVP of Engineering, Cisco Customer Experience (CX)  Dr. Lydia Chilton, Associate Professor of Computer Science, Columbia University  Sam Charrington, Host of the TWIML AI Podcast  Srini Namineni, SVP and Chief Automation Officer, Cisco  Learn more about Cisco Customer Experience: read our blogs and visit Cisco.com

As enterprise environments become increasingly distributed and complex, the volume of telemetry data has outpaced human capacity to analyze it. This has been future compounded by the challenges of tokenomics. Jeetu Patel sits down with the founders of Galileo to discuss how we are moving beyond passive dashboards toward a future of autonomous, intelligent agents that can reason through system issues in real time.

Jeetu Patel and Guru Shenoy discuss the evolution of how Cisco is working with some of its largest and most innovative customers as they transform to address the challenges and opportunities of AI.

Jeetu Patel, Matt Caufield and DJ Sampath tackle the shift toward a landscape where AI agents are no longer just assisting humans but are actively executing critical security tasks. As these agents take on more autonomy, the traditional pillars of cybersecurity, particularly identity, must undergo a radical evolution to ensure that our automated defenses remain both powerful and trustworthy.

Jeetu Patel, Nick, and Mohammad delve into our custom silicon strategy. While many see networking as a software-driven game, we discuss why many of the most significant breakthroughs are happening at the physical layer. We explore how Cisco’s unique approach to co-designing silicon alongside our software and systems portfolio is creating a level of performance and efficiency that simply cannot be achieved with off-the-shelf components.

Jeetu Patel and Kamal Hathi dive into how the addition of Splunk to the Cisco family is about more than just portfolio expansion; it’s about providing our customers with the most comprehensive platform for security and observability in the industry. By breaking down the barriers between the network and the data that runs on it, our customers can operate with unprecedented speed, confidence, and clarity.

Reimagining Cisco Security with Jeetu Patel and Peter Bailey by Cisco

Jeetu, Tom Gillis, Kevin Wollenweber, and Will Eatherton discuss why the "AI revolution" is fundamentally a networking challenge and how Cisco has evolved its portfolio to serve as backbone for the next generation of enterprise intelligence. By aligning our networking, compute, and security innovations, we are providing our customers with the foundation they need to move from experimentation to production at scale.