How to Structure an AI Team Without Creating a Silo
The way you structure your AI team determines whether AI becomes a strategic capability or an expensive research lab. Here's what I've seen work.
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Companies are producing AI governance documents at record speed. Almost none of them change actual behaviour. Here's what works instead.
The way you structure your AI team determines whether AI becomes a strategic capability or an expensive research lab. Here's what I've seen work.
Data culture isn't a project you launch or a tool you buy. It's a byproduct of how your organisation actually makes decisions.
The problem with most enterprise AI strategies isn't the AI part. It's the strategy part. Here's what goes wrong and how to build one that actually works.
Quick takes on AI, innovation, and strategy
1:03 Most AI strategies I review are just a list of tools and use cases with no prioritisation, no governance, and no connection to business goals. Here's what a real one looks like.
2:15 I've built data teams from scratch and inherited broken ones. These are the three mistakes I see over and over again, and the fixes that actually work.
1:45 Everyone's worried about AI replacing roles. The real risk is companies that adopt AI without a plan and burn trust, budget, and talent in the process.
Keynotes, podcasts, and workshops on AI strategy, innovation, and what it actually takes to ship AI in the real world.
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