Most enterprises I speak with are now funding two security programs for one set of running processes.

Trusted AI doesn’t begin with the model. It begins with trusted data.

Large companies aren’t lacking effective ideas for using AI. Rather, they lack a reliable way to transform those ideas into business value.

As AI adoption scales, enterprises need to evolve FinOps practices beyond cloud infrastructure.

Looking at how top global businesses are fighting the tokenmaxxing problem today, we can see an emerging pattern.

The strongest ecosystems are rarely completely open or completely closed. They operate somewhere in between.

As CIOs and CAIOs prepare for the next era of enterprise AI, they will find that their leadership strength doesn’t come from technology but from HR.​

Often, the foundation is the real first step, and naming it is what turns an overwhelming project into a clear one.

In the age of AI, the value of an industry event can be measured by the better decisions, relationships and actions that follow.

Context engineering is becoming one of the highest-leverage skills in quality engineering, and most teams have barely started practicing it.