In this episode of the Built for Trust Podcast, Nick Lippis shares findings from a recent ONUG community survey of senior practitioners managing large-scale, regulated enterprise infrastructure.

The results paint a clear picture: the hype around AI is real, the investment is real, but production deployments are lagging far behind. And the primary reason may be the network itself.

Nick walks through what the data reveals about why governance and compliance have emerged as the top inhibitor to scaling AI, why organizations remain deeply divided on where sensitive AI workloads should live, and why enterprises are deploying agents faster than they are building the infrastructure to support them.

Only 18% of respondents believe their infrastructure roadmap is keeping pace with AI's trajectory. The community knows the stakes. The question is whether they move fast enough to lead or spend the next few years catching up.

If you want to know where enterprise AI actually stands today, the data in this episode tells the real story.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

This episode is part of a six-part sponsored series with Cisco focused on the technologies defining the next era of enterprise networking, with new episodes released each month.

AI infrastructure is entering a new phase, and the shift starts at the silicon layer.

In this episode, Nick Lippis is joined by Cisco leaders Tom Gillis and Nick Kucharewski to explore how advances in networking silicon are redefining enterprise infrastructure as organizations move from experimentation to production.

Programmable silicon, high-performance Ethernet, and distributed system design are enabling a new model where the network becomes the fabric that connects and orchestrates AI workloads across compute, memory, and data. This shift is changing how enterprises think about scale, performance, and control.

The conversation also examines how security and observability are moving into the network itself, along with the need for architectural flexibility as enterprises look to build AI-ready environments without hyperscaler complexity.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

As AI moves beyond the data center into real-world environments, the network is being pushed into entirely new territory.

In this episode of the Built for Trust Podcast, Nick Lippis speaks with Allwyn Sequeira, CEO of Highway 9 Networks, about how AI, mobility, and edge computing are converging to reshape enterprise infrastructure.

They explore why traditional wireless approaches fall short in AI-driven environments, how private and public cellular are emerging as a critical foundation, and what it takes to connect machines, devices, and inferencing systems in real time.

The conversation examines the convergence of IT and OT, the role of AI-native mobile infrastructure, and how agentic AI is driving a shift from automated to more autonomous operations.

As enterprises move from AI experimentation to real-world deployment, the network has to evolve. It must support real-time, distributed intelligence across devices, the edge, and the cloud.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!