The Dimension That Didn’t Exist Until You Asked
The last post made the case that the dimensions we use to analyze our businesses are decisions, not discoveries. Product
The Dimensions You Built Are Not the Dimensions You Need
The last post walked through a single business problem approached three different ways. Prompt engineering confirmed what the CFO already
The Inquiry Layer Is Not What You Think It Is
In the last post, I introduced the idea that the current market conversation about AI-powered analytics is missing a layer.
The Market Arrived. The Conversation Hasn’t.
Six months ago, I started a series called “Talking to Data.” The argument was straightforward but, at the time, felt
It’s 50% Different. And Almost Nobody Can Explain Why
A colleague of mine, someone whose judgment on technology and business I trust deeply, said something recently that has stayed
Your AI Can Talk to Your Data. Can You?
The Art of Asking: What Makes a Data Conversation Actually Work The Difference Between a Query and a Conversation The
Your AI Doesn’t Know What ‘Revenue’ Means (And That’s a Bigger Problem Than You Think)
Semantic Contracts: The Governance Bridge Between Data and Meaning In my last post, I walked through what it looks like
Talking to Data: Why the Conversational Shift Changes Everything
For decades, business intelligence has operated on a simple premise: someone anticipates the questions, builds the reports, and everyone else
From Integration to Independence: Building Flexible AI Infrastructure
For the Executive: The Integration Illusion In the race to adopt AI, enterprises often connect language models to internal data