AI in Infrastructure Podcast

The AI in Infrastructure podcast focuses on how AI and adjacent capabilities are built, deployed, and scaled inside the world's largest enterprises from data platforms and GPUs to orchestration, governance, and energy management. As organizations modernize their technical foundations, these systems increasingly determine not only AI performance but long-term competitiveness.Published by Emerj AI Research and hosted by staff, the AI in Infrastructure podcast features conversations with Fortune 500 leaders and experts at the forefront of enterprise architecture and AI operations. Together, we examine high-level infrastructure trends and anticipate how emerging capabilities will shape the systems that support generative and agentic AI.As with all our Emerj programming, interviews featured on AI in Infrastructure are non-technical, focusing on what adjacent business leaders need to know to guide teams, steward governance, and make informed decisions about the platforms and infrastructur

AI in Infrastructure Podcast is a technology podcast hosted by Emerj AI Research, with 9 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Emerj AI Research hosts AI in Infrastructure Podcast, a technology show with 9 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  AI in Infrastructure Podcast

  Identity Infrastructure as the Foundation of Enterprise AI - with Dr. Ali Alkhafaji of Apply Digital

  Aug 14, 202625 min

  The enterprise shift at the center of this episode is the growing gap between AI ambition and the underlying data and context infrastructure required to run systems reliably at scale. In this episode, Dr. Ali Alkhafaji, Chief Executive Officer at Apply Digital, examines how enterprises stall when they focus on adding AI to existing workflows rather than defining the outcomes they want to achieve, as he joins Emerj's Marilie Fouché. He highlights the practical moves that matter most — strengthening data foundations, building organizational context into AI systems, and driving adoption through top‑down leadership and targeted enablement. Learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at http://emerj.com/AD4

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  AI in Infrastructure Podcast

  Driving Professional-Grade Agentic AI Systems Over General-Purpose Tools in the Enterprise - with David Wong of Thomson Reuters

  Jul 15, 202623 min

  General‑purpose AI tools are hitting reliability and accuracy limits in professional workflows, forcing enterprises to rethink where these systems can truly deliver operational value. In this episode, David Wong, Chief Product Officer at Thomson Reuters, examines how domain‑specific data, expert‑trained decision patterns, and integrated software enable AI to perform professional‑grade work, in conversation with host Matthew DeMello. The discussion highlights the practical shift toward targeted deployment, the four‑pillar framework for agentic systems, and the conditions required for trustworthy automation in legal, tax, and compliance environments. ​ Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner

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  AI in Infrastructure Podcast

  Building Secure Role Based Access for Agentic AI in Regulated Industries - with Anahita Tafviz of Snowflake

  Jul 8, 202632 min

  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 governance, role‑based access control, and embedded data teams enable trustworthy AI agents that automate high‑value workflows across finance, sales, HR, and other regulated functions. The discussion highlights practical decisions around securing new points of entry, standardizing metrics, and designing repeatable agentic workflows that move enterprises from systems of record to systems of action. To listen to the conversations other infrastructure and AI leaders in the Fortune 500 are tuned into, subscribe to the AI infrastructure podcast at emerj.com/inf1

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  AI in Infrastructure Podcast

  How Enterprise Leaders Are Building Their Agentic AI Strategy - with Matt Renner of Google Cloud

  Jul 1, 202636 min

  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 of enterprise transformation. The discussion highlights practical shifts in executive fluency, data strategy, orchestration platforms, and the processes required to move from isolated pilots to scalable agentic operations. To learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at http://emerj.com/AD4

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  AI in Infrastructure Podcast

  How AI Is Reshaping Service Operations in Mission Critical Infrastructure - with Joe Lang of Comfort Systems USA

  Jun 24, 202620 min

  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 disciplined asset organization are becoming essential to operating reliably in zero‑tolerance environments — in conversation with host Yolandi de Weerdt. He highlights the practical shifts required to move from reactive to prescriptive maintenance, including structuring asset data, capturing accurate field information, and properly resourcing modernization efforts across distributed service teams. This episode is sponsored by Aquant . Learn how to identify real AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy. Download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait4

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