Data Readiness for AI: What Actually Has to Be True
Most companies are told they need a data platform before they can use AI. For most use cases, four narrower conditions matter far more.
Read essayField notes from real engagements. Frameworks, postmortems, and the unglamorous discipline of shipping AI in production.
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Most companies are told they need a data platform before they can use AI. For most use cases, four narrower conditions matter far more.
Read essayThe first quarter decides whether the seat earns its place. Here is the sequence that works, and the launch that wastes it.
Read essayBoth are part-time executives on a retainer. They answer completely different questions, and the order you hire them in is usually obvious once you see it.
Read essayYour staff are already using AI you did not approve. Here are four ways to find out what, without turning it into an investigation.
Read essayMost AI governance committees are formed to look responsible and end up slowing decisions without reducing risk. Here is what to do instead.
Read essayThe build-versus-buy question is not about capability or cost. It is about whether the thing is a differentiator, and most companies answer it backwards.
Read essayTwelve ideas, budget for three. Here is a defensible way to choose, and the reason the best-scoring one is often not where you should begin.
Read essayMost companies asking this question do not need a full-time AI executive. Here is the test that tells you which of the three answers applies.
Read essayMost Chief AI Officer job descriptions are a wish list assembled from three other roles. Here is what the seat is genuinely accountable for.
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