Our Insights & Perspectives Data and AI

We transform your business challenges into a sustainable competitive advantage through industrial mastery of your data assets, enriched by AI and responsible digital experiences.

All our publications

Discover our statements and strategic analyses at the heart of company transformation issues.

Data governance for AI: scattered data passes through checkpoints, is certified, and then feeds into AI agents

Data governance for AI: why your data products are not AI-ready

The Data Mesh was intended to make the domains autonomous. Of the more than 35 programs analyzed since 2022, JEMS often finds the opposite: duplicated entities, validations that go back to the center...

Where does AI report? The answer is decided before deployment.

At the Data and AI Exhibition in Nantes, the same question came up in every room: how much does the project bring in? As for the cost, the answers were precise....

[REPORT] Data and AI, the missing link in the industrialization of AI

AI budgets are exploding, but the results are not keeping up. 56 % of the executives see neither an increase in revenue nor a decrease in costs. The problem is not due to the models...

Why does a successful AI POC in a demo never survive in production?

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...

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...

Ready to turn your business challenges into competitive advantages ?

Let's discuss putting your data and AI strategy into production. Our experts will assist you with no obligation.

Report Entreprises & IA 2026

Data & AI:
The missing link

88 % of the IA POCs do not reach a large-scale deployment (source IDC and Lenovo). The first JEMS report analyzes the 6 factors that keep AI at the experimental stage, with the feedback from Renault, Michelin, CACIB, Artelia and Manitou.