AI in Infrastructure Podcast

Emerj AI Research

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 infrastructure powering AI at scale.

Episodes

  1. 3d ago

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

    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

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

  2. Jul 8

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

    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

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

  3. Jul 1

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

    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

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

  4. Jun 24

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

    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

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

  5. Jun 19

    Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot

    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 Faggella Emerj CEO and Head of Research. He highlights the practical shifts required — from identity and access control to auditability, simulation, and cross‑system orchestration — that enable agents to take on back‑office and cross‑functional work reliably and safely. Learn how to identify 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

    Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot

  6. Jun 18

    Building Compute Foundations for the Physical Economy - with Drew Henry of ARM

    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 hardware architectures for safety‑critical operations where power, reliability, and integration constraints are non‑negotiable. The discussion focuses on upgrading legacy automation, selecting the right compute for varied AI workloads, and using large‑scale simulation to validate changes before retooling physical systems. Emerj reaches over a million senior operators and AI decision‑makers each year — see how leading AI brands turn that attention into qualified pipeline at emerj.com/AD1

    Building Compute Foundations for the Physical Economy - with Drew Henry of ARM

  7. Jun 17

    Rethinking Infrastructure for the AI‑Driven Enterprise - with Daniel Faggella of Emerj

    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 reshaping what it means to build the modern enterprise in conversation with the host. The discussion highlights the practical implications across hardware choices, data foundations, governance requirements, and the emerging rules of work between people and AI.

    Rethinking Infrastructure for the AI‑Driven Enterprise - with Daniel Faggella of Emerj

  8. Jun 14

    Turning Infrastructure from Bottleneck to Business Enabler for AI - With Juan Orlandini of Insight

    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 outcomes in mind. The conversation covers organisational change management across employee adoption segments, the application of FinOps principles to AI infrastructure spending, and a minimum viable proof of concept approach for validating AI investments before scaling. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

    Turning Infrastructure from Bottleneck to Business Enabler for AI - With Juan Orlandini of Insight
  • 8 Episodes

About

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 infrastructure powering AI at scale.

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