Cloud migration for AI-readiness isn't just about moving workloads — it's about removing the barriers that keep your teams from focusing on business value. Patrick Lea, SVP of global cloud operations at Revionics, led a full infrastructure migration to Google Cloud a year ahead of schedule, consolidating from more than 130 vendors down to about 30 in just over two years.

This conversation covers how Revionics chose Google Cloud based on cultural alignment as much as technical fit, why Patrick restructured his teams into tiger teams to separate migration work from daily operations, and how getting infrastructure right before generative AI arrived meant Revionics was ready when the moment came. This is the second episode in a three-part series on building the infrastructure foundation that makes everything else possible.

Get Insight's modern infrastructure solutions because you'll see exactly how enterprises are cutting migration timelines and positioning for AI: https://www.insight.com/en_US/what-we-do/expertise/modern-infrastructure.html

Subscribe and follow Insight On for new episodes every week.

#CloudMigration #GoogleCloud #AIreadiness #EnterpriseInfrastructure #InsightOn

Chapters (5–12)

• 00:00 — Welcome and introduction

• 04:29 — Signs your infrastructure needs to change

• 07:05 — How to choose the right cloud provider

• 09:55 — Migration timeline and vendor consolidation

• 10:59 — What made the migration finish a year early

• 13:17 — How cloud migration set up generative AI-readiness

• 15:19 — Picking where to focus when you can't do everything

• 16:27 — Speed vs. reliability in AI adoption

• 18:53 — One piece of advice for leaders starting now