Newsletter

To see data quality as an attribute of the data itself is to mistake the map for the terrain.

What counts as “quality” depends on what you are trying to do with the data. A 98% postcode match might suffice for a marketing campaign, but not for directing ambulances. A … Read full article

Excellence in AI is a good start. But what really unlocks impact is engagement.

In many organizations, when something is important—data, design, AI, security—the first order of business is often to build a Center of Excellence (CoE) around it. We bring in specialists, protect the craft, and create structure to … Read full article

Everyone’s talking about “auditing their AI,” but too often what’s happening is merely for procedural comfort, not actual scrutiny.

I’ve seen it happen many times now. Red teams are spun up. Ethics frameworks get glossy PDFs. Long lists of checklist items are dutifully ticked off. A few spicy prompts are … Read full article

The real work of AI isn’t cleaning your data—it’s cleaning your house.

There’s a comforting myth in AI: that value begins with clean data. Label it, migrate it, model it. Treat it like a product. Then plug in the models and let the insights flow.

It’s appealing because it makes … Read full article

If your AI strategy feels like it could be applied to any other company simply by changing the logo on the slide deck, it’s not a strategy. It’s a set of tactical table stakes, ready to be exchanged for the next new thing at a moment’s notice.

Yet, across the … Read full article