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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 e…
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 thei…
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…
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 …
Ansvarsfraskrivelse: Podkasten og kunstværket, det finnes indlejret på denne siden, er fra Emerj AI Research, som tilhører dens eier og ikke er tilknyttet eller godkjent av Listen Notes, Inc.