The AI Map: The Second Half of the Potential Map
The AI map locates use cases by AI capability and degree of autonomy — the second, equal half of the potential map.
Read more →Blog
Notes from more than ten years of data and AI projects.
Proof of Value, Not Proof of Concept — Why Your First Use Case Is a Driving Lesson
Which stream starts first, and what does the first step look like? Prioritise in a way that commits, then start with a proof of value that proves worth and leaves capabilities behind.
Read more →Business Leads, People and Technology Enable: How to Spot the Missing Circle
Three circles, one centre: why data and AI initiatives fail predictably when business, people or technology is missing, and how you can hear the gap in the corridor.
Read more →
Your Data & AI Journey: Four Horizons Instead of a Five-Year Plan
Five-year roadmaps claim a range of vision nobody has. Why a horizon plan with four stages is the more durable structure for a data and AI journey.
Read more →
Why We'll All Wear Bespoke Again: Software After the Efficiency Jump
Off-the-peg software never fitted better than custom software. It was cheaper. When AI makes building cheap, that calculation shifts, and with it the question of what your company is actually special at.
Read more →
Why Nobody Charges Their Car with Lightning — On Potential, Use Cases and Closed Circuits
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 →
Does the Right Data & AI Strategy Triple Your Margin?
5 % more revenue, 5 % more productivity, 10 % lower costs: profit more than triples. The arithmetic behind it, and what it takes.
Read more →
Your AI Has Invented a New Language from Five Departmental Dialects. Nobody Understands It.
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 →
Mise en Place for Data & AI: The Potential Map as Your Kitchen Plan
From thirty sticky notes to four stations: how the potential map locates your use cases, reveals synergies and turns clusters into streams.
Read more →
The Strategic Quadrant: Why Your Data & AI Strategy Needs a Fitness Tracker
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 →
How a Data Pipeline Problem Changed Art History
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.
Read more →