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Corporate AI governance: what to do when a manager has taken matters into their own hands?

A business manager has independently built an AI tool on their personal account that saves their whole team time. The IT department has just found out. Between banning it...

AI ROI in business: why your best use cases never make it to production

A POC has won over the business teams; they are already using it every day. But the AI budget has been used up, and there is nothing to objectively say whether it deserves more budget than...

Scaling agentic AI: what your POC didn't see coming

Your agent handles demo scenarios perfectly. But who validates its decisions in production? Who maintains the prompts when the process changes? Behind a successful POC lies...

Data Management for AI: How to Build a Data Foundation That Makes AI Truly Useful in Business

Your teams have launched dozens of AI projects. How many have actually made it past the prototype stage? That's the question most Data Directors are asking themselves today...
Knowledge governance illustration

Knowledge Governance: The Next Step After Data Governance

Data governance has enabled companies to make their indicators more reliable and industrialise their data usage. But with the rise of generative AI, a new challenge is emerging: making...
AI illustration literature search

Why is literature search becoming a strategic issue for AI?

Document research is no longer a simple matter of accessing information. With the rise of generative AI, the ability to retrieve, contextualise and exploit business knowledge is becoming a key factor...
Why do data catalogs fail?

Pourquoi les projets de catalogue de données échouent-ils encore ?

Data catalogues still remain under-exploited in many companies, despite significant investments in data governance and platforms. Reasons for this include incomplete metadata, interfaces that are too technical, and so on.
Illustration of the data fabric connecting data, uses, and generative AI in business

Active metadata, data fabric and generative AI: the foundation for industrialising AI in business

Active metadata and data fabric enable the industrialisation of AI in businesses by making usage, governance and results more reliable.
IA Act method

AI Act 2026: What has changed since January and how to secure its compliance trajectory?

Since the beginning of 2026, the AI Act has reached an important milestone: without fundamentally changing its structure, its scope of application has become much more concrete....

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