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