Resources

Articles on data, AI and craftsmanship

Practical perspectives on the foundation under AI: owned meaning, trustworthy data and decisions you dare to act on.

46 articles

The AI Act in the Netherlands: which law applies and who supervises

The AI Act applies directly. The Dutch implementation act sets who supervises: ten authorities, with the AP and RDI coordinating.

23 September 20264 min read

What is the EU AI Act? What applies now and what applies from December 2027

Explainer

Concepts

What is the EU AI Act? What applies now and what applies from December 2027

The AI Act regulates AI by risk. Which obligations already apply, what the Digital Omnibus postponed, and what your organisation needs to arrange now.

23 September 20265 min read

Five questions a supervisory board can ask about AI every quarter

Explainer

Perspective

Five questions a supervisory board can ask about AI every quarter

Overseeing AI takes no technical knowledge, just the right questions. Five quarterly questions for the supervisory board, what a good answer looks like and when to probe further.

23 September 20265 min read

AI governance for executive and supervisory boards: value, ethics and stop rules

Explainer

Perspective

AI governance for executive and supervisory boards: value, ethics and stop rules

AI governance is the agreement on what AI may do, who is accountable and when you stop. A three-question framework for boards and supervisors.

23 September 20267 min read

Data or metadata: what an AI agent should get from you

Deep-dive

Craft

Data or metadata: what an AI agent should get from you

An AI agent needs meaning, not bulk. Metadata is the default, data is the exception you allow on purpose.

7 September 20265 min read

RAG or fine-tuning? Choosing for your own company data

Explainer

Concepts

RAG or fine-tuning? Choosing for your own company data

Retrieve at question time or train the model further: the choice depends on how often your knowledge changes and whether you must be able to point at the source.

31 August 20266 min read

Implementing AI: why it almost always stalls on your data

Explainer

Concepts

Implementing AI: why it almost always stalls on your data

The model is rarely the problem. Pilots stall because nobody can retell where an answer came from, or who owns the terms inside it.

30 August 20267 min read

Implementing data governance: a ninety day approach

Explainer

Craft

Implementing data governance: a ninety day approach

Not with a framework, but with five terms people argue about. That is how you get something that stays standing within a quarter.

29 August 20266 min read

Why a semantic layer isn't enough for AI

Signal

AI & Data

Why a semantic layer isn't enough for AI

A semantic layer defines your metrics. AI needs meaning that is governed, reaches the operation, and stays yours.

28 August 20266 min read

Start with one decision that has to get better

Pick a recurring question where teams lose time or contradict each other. Make the meaning behind it explicit and bring it straight into daily operations.

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Articles on data, AI and craftsmanship

The AI Act in the Netherlands: which law applies and who supervises

What is the EU AI Act? What applies now and what applies from December 2027

Five questions a supervisory board can ask about AI every quarter

AI governance for executive and supervisory boards: value, ethics and stop rules

Data or metadata: what an AI agent should get from you

RAG or fine-tuning? Choosing for your own company data

Implementing AI: why it almost always stalls on your data

Implementing data governance: a ninety day approach

Why a semantic layer isn't enough for AI

Most read

Start with one decision that has to get better