I’ve spent years talking to data and AI leaders about governance, and one thing I’ve noticed is that the conversation almost always collapses into the same pattern: everyone agrees it matters, but no one can get their organization to actually do it. Somewhere in the middle of all that back-and-forth, the initiative dies. Yesterday at … Continued

I had the privilege of speaking at Snowflake Summit last week, and I chose to focus on a critical issue within the data and AI stack that most enterprises are dealing with but haven’t figured out yet: why agents keep failing in production — and why the answer almost always traces back to data. Everyone’s … Continued

I talk to dozens of data and AI leaders every week. Different companies, different industries, and different stages of their AI journey. But there’s one question I see coming up all the time: How do I actually trust these agents? Data and AI leaders want to know this. And, underneath that bigger question, are more … Continued

The binary trap Enterprise AI deployments today typically face significant, yet competing, pressures from two directions. On the one hand, business stakeholders want agents to move fast and act independently, as the whole point of agentification is to remove human bottlenecks from workflows that used to require constant attention. AI and platform teams, meanwhile, need … Continued