Notes from more than ten years of data and AI projects.
A lightning bolt carries hundreds of kilowatt-hours and still charges no phone. Why data and AI potential only becomes measurable in a use case, and value only flows in a data product.
Read more →5 % more revenue, 5 % more productivity, 10 % lower costs: profit more than triples. The arithmetic behind it, and what it takes.
Read more →Sales, controlling and logistics mean different things by “customer” and “revenue”, and the AI blends them into a language nobody speaks. Why a dictionary helps, and how strategy, data catalogue and data platform write it.
Read more →From thirty sticky notes to four stations: how the potential map locates your use cases, reveals synergies and turns clusters into streams.
Read more →Measure, set a goal, train: the Strategic Quadrant contrasts operational maturity with strategic vision. And explains why not every company needs to be a pioneer.
Read more →Monet painted the harbour of Le Havre the way he saw it, not the way it was. Why companies do exactly the same, and what a data and AI strategy has to do with it.
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