Johnston brings over 15 years of Data Science and AI Experience with him from his work at Microsoft, Ford Motor Company, and consulting. His current focus is on AI in regulated industries focusing on Data Governance and the growing needs around AI Governance Operationalization (AIGovOps) in a world of rapidly changing global regulations.
Ken Johnston is an advisor, consultant, frequent keynote presenter, trainer, blogger, and author on software testing, lean data science, and AI governance. He is Founder of the AIGovOps Foundation and currently serves as VP of AI and Data for Envorso. He is the former CEO of Autonomic.ai and Ford VP for Telematics and Data Platforms. Prior to Ford, Ken spent 25 years at Microsoft in roles including Data Science Manager for the Microsoft 360 Business Intelligence Graph (M360 BIG) within Windows, GPM for Bing Local and Segments Search, General Manager for the Office 365 Cloud Development Team, and Test Manager for Commerce Server. He also served as Microsoft’s Director of Test and Operations Excellence, where he built the engineering learning curriculum across disciplines. Ken earned his MBA from the University of Washington, is an author of How We Test Software at Microsoft, a contributing author to Experiences of Test Automation, and is currently working on his next book, Lean AI Handbook. You can contact him through LinkedIn.
All Sessions by Ken Johnston
AI Governance Landscape 2026
Day 3 is where it gets real: risk, regulation, and control. Day 1 showed what AI can do, and Day 2 showed where it fits in banking. In AI Governance Landscape 2026, Ken Johnston cuts through the noise of fast-moving AI rules and standards and delivers a practical view of what’s coming—and what regulators will expect. You’ll leave with a clear way to tier AI use cases by risk, define minimum controls, and build the evidence trail that lets you scale AI faster without increasing exposure. If you want the rest of the conference to translate into confident decisions, don’t miss this session live.
