In this episode, industry leaders discuss how to redefine “good” technology today — weighing speed, agility and AI against security, ethics and human impact. Panelists share real examples, from digital avatars for pediatric care to network and industrial use cases, and explore how AI can enhance outcomes without replacing human judgment. The conversation highlights practical steps for bringing organizations along: training, transparency, governance and pragmatic pilots. The episode closes on a hopeful note about creative possibilities in healthcare and research while emphasizing the need for responsible, human-centered adoption.

Cisco Technical Assistance Center (TAC) manages 1.4 million SRs annually, and today, 97% are touched by AI. As we shift from task-based automation to Agentic AI, some of these interactions are becoming "no-touch"—driving higher customer satisfaction and faster resolution. How did Cisco transform its Support at scale, and where is the IT services industry heading? In this episode of Scaling AI in the Enterprise, we focus on IT services delivery. Our panel shares advice on how to escape "pilot purgatory" and move into production, the critical necessity of a unified data strategy, and how to maintain deterministic outcomes in a probabilistic world. We discuss why observability is the new "central nervous system" for managing autonomous agents and why the path to success requires reinventing workflows—not just automating the status quo. Host: Wes Moss, VP, CX Centers Delivery for Americas, Cisco Guests: Bhaskar Jayakrishnan, SVP of Engineering, Cisco Customer Experience (CX) Buffy Ransom, GM & SVP, CX Centers, Cisco David Jansen, Distinguished Solution Engineer, Global Solutions Engineering (GSE), Cisco Learn more about Cisco Customer Experience; read our blogs and visit Cisco.com.

Back for part two of our split episode with the founder of Split Futures, Annie Hardy and jump right in where we left off...getting practical about choosing the right AI model—because apparently not every task requires the AI equivalent of a Nobel Prize winner. Annie breaks down when to use smaller models, why bigger isn’t always better, and how those choices connect to energy, water use, and building a more sustainable future. The conversation then turns to the humans behind all this technology. Annie challenges leaders to look beyond layoffs and efficiency gains and ask a much better question: what could we build if we retrained and reinvested in people instead? Along the way, we cover AI subscriptions quietly taking over everyone’s bank account, the danger of lazy AI strategy, and whether asking Gemini to help your teenager quit band counts as responsible parenting—or just very efficient parenting. Give us a click, keep us funded! https://www.cisco.com/site/us/en/solutions/small-business/index.html

Your company bought all the AI tools and now nobody knows what to do with them. Sound familiar? Kat and Ian sit down with Annie Hardy, founder and Chief AI Architect at Split Futures, to unpack why leaders aren't listening, why measuring employees by "lines of code" is quietly torching everything, and why Gen Z is somewhere between anxious, angry, and low-key sabotaging the robots. You'll learn how to actually pick the right AI model (spoiler: sometimes you need an intern, not a Nobel laureate), why every search might be gulping a water bottle, and Annie's genuinely useful Code of AI Ethics for people who just want to keep their brains intact. Also: national security plot twists, "lazy AI-augmented parenting" confessions, and more hot takes to come! If you liked this episode, as always give us a click! https://www.cisco.com/site/us/en/solutions/small-business/index.html

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.