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 infrastructure powering AI at scale.
Episodes
Identity Infrastructure as the Foundation of Enterprise AI - with Dr. Ali Alkhafaji of Apply Digital
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 Researc...
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 moder...
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 c...
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