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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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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Identity Infrastructure as the Foundation of Enterprise AI – with Dr. Ali Alkhafaji of Apply Digital
August 14, 2026
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...
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Driving Professional-Grade Agentic AI Systems Over General-Purpose Tools in the Enterprise – with David Wong of Thomson Reuters
July 15, 2026
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...
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