About this episode
Bill Arend from Microsoft and Canisius Rozario, CTO of Collide, talk through the messy reality of deploying AI in oil and gas—why most E&Ps have gone all-in on cloud, how data security actually works when you're not training models on customer data, and why multi-cloud strategies are dying out. They dig into deployment models across SMBs and enterprise NOCs, the build-versus-buy trap that keeps operators stuck, and why agents managing other agents might be the wildest thing happening in five years. Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript.
0:00 - Introductions and background2:45 - Cloud versus on-prem decision factors today6:12 - How Microsoft scales compute for AI workloads8:30 - Data security and customer data segregation13:18 - Deployment models across SMB and enterprise clients18:45 - Why Azure is positioned for energy sector AI24:02 - Why can't companies just use Copilot themselves28:16 - Data security risks with quantum computing31:40 - Multi-cloud strategies and resiliency concerns37:25 - Data ownership and extraction costs42:10 - Crystal ball question on agents managing agentshttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters
