
LLMs in marketing personalisation
Emails, landing pages, product pages: LLMs have changed how marketing teams produce personalised content. But results are not uniform.
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Artificial intelligence is embedding itself into business processes faster than most organisations can adapt. These analyses document real use cases, technical and ethical limits, and the structural decisions that need to be made. To understand what AI is genuinely changing, without naive enthusiasm or defensive scepticism.

Emails, landing pages, product pages: LLMs have changed how marketing teams produce personalised content. But results are not uniform.

HSBC, BNP Paribas and ING have each deployed language models to accelerate credit file analysis. Results differ significantly depending on approach.

Far from marketing promises, several major European law firms now use LLMs to accelerate contract review. Documented cases and observed limitations.

Distributors and manufacturers have deployed AI‑based demand forecasting and inventory optimisation models. Concrete results and lessons learned.

Three recent studies document how AI CV screening tools amplify existing biases, and what HR departments that notice are doing about it.

LLMs are being used to synthesise patient records before consultations. Doctors from three institutions share their daily experience.

Since 2022, several French teaching hospitals have integrated automatic detection tools into their imaging workflows. Radiologists report real gains, but also new constraints.

Stellantis, BMW and Renault have each deployed AI‑based predictive maintenance systems. What they learned and what they would do differently.

AI agent‑based fraud detection systems are gradually replacing static rules. Results measured across three institutions.

Several large companies use predictive models to anticipate turnover risk. Results are real, but ethical questions remain open.

Training platforms are integrating AI tutors capable of adapting their pedagogy to each learner. First impact measurements are in.