Here are five key principles that will help leaders determine whether they’re investing in the AI tools that will deliver value—or slop.

Healthcare’s schemas are its program.md. And most of the industry hasn’t looked at that file in decades.

The next shift may be less about people using smarter tools and more about people directing digital teammates.

Y2K was a known problem with a known fix, but Q-Day is different.

Whenever a new geopolitical shock takes hold, businesses are forced to make high-stakes decisions on cost, continuity, quality and risk at speed.

Working effectively with AI requires the ability to critically assess what it gives you, and that takes judgment.

Often, the greatest headaches during software migration are more to do with the approach than the software itself.

Regulators are coming for the AI models themselves, and those models can’t answer the questions they’re about to be asked.​

The model context protocol (MCP) unlocks a skill-first AI architecture where tools are built and reused everywhere, which makes every agent in your org smarter.

​Improving data delivery is not just an engineering challenge; it is a leadership responsibility.