ABOUT THIS EPISODE
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, governing agent access, and preserving model and deployment options as infrastructure costs and business requirements evolve. Learn the strategies Emerj uses to help leading AI brands and startups connect with their ideal enterprise AI buyers: emerj.com/AD4
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SEARCH PAST EPISODES
Search past episodes of AI in Infrastructure Podcast.
OTHER EPISODES IN THIS PODCAST
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…
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…
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…
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 …
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…
Disclaimer: The podcast and artwork embedded on this page are from Emerj AI Research, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.
