AI in Infrastructure Podcast

The shift from guarded, siloed data access to fully agentic, end‑to‑end AI workflows is forcing enterprises to rethink how accuracy, access control, and security must operate when anyone can query sensitive information through natural language. In this episode, Anahita Tafvizi, Chief Data & AI Officer at Snowflake, joins Daniel Faggella, Emerj CEO and Head of Research, to examine how robust govern...

Legacy enterprises are being forced to rethink how they modernize data, infrastructure, and operating models as agentic systems begin reshaping workflows once defined entirely by humans. In this episode, Matt Renner, President and Chief Revenue Officer at Google Cloud, joins host Daniel Faggella and examines how AI maturity, data modernization, and agent orchestration are becoming the new backbone...

Uptime expectations in energy and infrastructure environments are tightening, while the skilled‑trades gap and rising asset complexity are making traditional, date‑based maintenance models increasingly unsustainable. In this episode, Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA, examines how real‑time equipment data, technician‑centric tooling, and disciplin...

A growing share of enterprise work now depends on systems that can support both human and AI agents, exposing bottlenecks in coordination, governance, and cross‑functional process design. In this episode, Debanjan Saha, Chief Executive Officer at DataRobot, examines how enterprises can rebuild their operational architecture to support digital employees at scale in conversation with host Daniel Fag...

AI is moving into the physical economy, and enterprises are now confronting the infrastructure decisions required to support model‑driven systems in logistics, manufacturing, transportation, and other asset‑heavy environments. In this episode, Drew Henry, Executive Vice President for Physical AI at Arm Holdings, joins Emerj CEO Daniel Faggella to examine how leaders can redesign compute and hardwa...

Enterprise leaders are confronting a shift in which infrastructure now encompasses hardware, data platforms, governance, privacy, and the broader foundation required to support AI. In this launch episode of the Enterprise AI Infrastructure Podcast, Daniel Faggella, CEO and Head of Research at Emerj Artificial Intelligence Research, examines how this expanded definition of infrastructure is reshapi...

AI infrastructure projects are failing not because the technology underdelivers, but because organisations commit capital before establishing the business case. In this episode, Juan Orlandini, CTO at Insight, examines why enterprise AI programs stall and outlines how leaders can apply decades of established IT investment discipline to evaluate, validate, and scale AI initiatives with measurable o...