The AI in Infrastructure Podcast
The AI in Infrastructure Podcast helps enterprise leaders understand the systems powering artificial intelligence at scale.
Each episode features practical, non-technical conversations on AI infrastructure, data platforms, GPUs, orchestration, governance, energy management, enterprise architecture, and AI operations.
Published by Emerj AI Research, the podcast brings insights from Fortune 500 leaders and experts building, deploying, and scaling the technical foundations behind generative AI, agentic AI, and enterprise AI adoption.
The show is designed for business, technology, and operations leaders who need to understand how AI infrastructure decisions shape performance, governance, and long-term competitiveness.
Browse the latest episodes below, or follow the show wherever you listen to podcasts.
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Turning Energy Data into Same-Day Action – with Neil Bhandar of Generac
November 11, 2026
Enterprise data in utilities and energy often remains siloed and surfaced through dashboards that report what has already happened, leaving a significant lag between information and action. In this episode, Neil Bhandar, Chief Data Analytics Officer at Generac, examines why moving from retrospective reporting to predictive decision-making depends as much on culture, trust, and AI literacy as on technology. The conversation covers aligning teams on...
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Why Optionality Should Anchor Enterprise AI Infrastructure – with Alistair Speirs of Microsoft
October 14, 2026
AI agents can place new demands on existing infrastructure, from database traffic to permissions for accessing and modifying information. In this episode, Alistair Speirs, General Manager of Global Platforms in Microsoft's Azure business, joins Daniel Faggella, Emerj CEO and Head of Research, to examine how organizations can adapt their systems while reducing administrative work for employees. He discusses processing expense receipts through familiar chat tools,...
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How AI Is Rewriting Customer Experience Workflows at Global Scale – with Pallavi Mahajan of NOKIA
September 30, 2026
Mobile networks were built for predictable human behavior, not the nonstop demands of agentic and physical AI. In this episode, Pallavi Mahajan, Chief Technology and AI Officer at Nokia, examines why AI workloads demand deterministic connectivity rather than traditional reliability benchmarks, and how networks are shifting from passive transport to active participants in AI decision-making. The conversation covers the shift from over-provisioning to AI-native network...
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Why AI Agents Fail Before They Scale – with Samar Abbas of Temporal Technologies
September 23, 2026
AI pilots that perform flawlessly in testing often stall the moment they reach production, and enterprise leaders are left wondering why. In this episode, Samar Abbas, Co-founder and CEO at Temporal, examines why long-running AI agents turn state and context management into the central engineering challenge, and how durable execution lets developers write code that runs to completion despite failures. He outlines what leaders should...
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Data Governance, Sovereignty, and the Enterprise AI Infrastructure Playbook – with Rodrigo Liang of Sambanova
September 16, 2026
Enterprises are past asking whether LLMs work; the harder question is how to run them at scale without becoming dependent on a single model, cloud, or chip vendor — and without running out of power or data-center capacity in the process. In this episode, Rodrigo Liang, Co-founder and CEO of SambaNova, examines why sovereignty and business continuity now anchor enterprise infrastructure strategy, why regulated...
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