REX · RETEX · Data & AI
Concrete lessons learned from Data & AI projects
Looking for real lessons learned (REX / RETEX) from Data, AI and tech projects run by other companies? Show me the REX brings together concrete cases — context, deployed solution and results — published by the people who actually ran them.
What you'll find here
Real cases, not theory
Every REX tells the story of a concrete project: goals, the approach taken, obstacles encountered and results achieved.
By the people who did it
Companies, IT services firms, consultancies and Data & AI teams share their achievements, sector by sector.
Data, AI & tech
Data engineering, data science, machine learning, generative AI, MLOps, data governance and value creation…
The latest Data & AI REX
Valoway
CAVAVIN structure ses données avec Microsoft Fabric pour mieux piloter son réseau
Un socle data scalable pour consolider les données du réseau, faciliter le pilotage des franchisés et préparer de nouveaux usages métier.
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BlackMesa
The cheapest feature is the one you don't build
Three signals that say "do not write this code" — and what they saved us in a single day.
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BlackMesa
How we guarantee legitimate case studies without a moderation team
Betting on verified identity instead of censorship, and protecting the people who speak up: our approach, the two bugs that made us doubt it, and what we took away.
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BlackMesa
Building a complete, production-ready SaaS with an AI coding agent
How BlackMesa designed, secured and shipped a full platform — zero-downtime deploys, real payments, passwordless sign-in — paired with an AI agent.
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Eleven Labs
Evaneos : une pipeline IA pour sécuriser les transformations SI
Fiabiliser et accélérer le cadrage des transformations d’architecture grâce à Claude
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imagino
Infuser une culture data et orientée consommateurs - Hachette Livre
Retour d'expérience - Usage de la CEP imagino
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Codéin
Industrialising a multinational company’s data with dbt and Airflow.
How can Murata industrialise its data pipelines end-to-end with Airflow and dbt to support scaling and the evolving data needs of a multinational company?
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Groupe Mind7 Consulting
SOLIS bot : comment un chatbot WhatsApp peut aider à toucher jusqu'à 120 000 personnes en danger
Dans le cadre d'un consortium associant plusieurs acteurs tech, Mind7 Technologies a contribué à la V2 du SOLIS bot, un chatbot WhatsApp gratuit permettant aux populations en zone de crise d'alerter, de demander de l'aide et d'accéder à une information utile en quelques secondes.
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Groupe Mind7 Consulting
Déployer un CRM à 800 utilisateurs au sein de Siel Bleu
Dans le cadre d'une mission de mécénat de compétences, Mind7 a accompagné l'association Siel Bleu dans la structuration de son plan de déploiement CRM, de la relation donateurs à l'ensemble de ses 800 collaborateurs de terrain.
Read the REX →Frequently asked questions
Where can I find concrete lessons learned from Data and AI projects run by other companies?
On Show me the REX: a portal dedicated to lessons learned (REX / RETEX) from Data, AI and tech projects, published by the companies and players who actually ran them. Each REX details the context, the solution implemented and the results achieved.
How can I identify lessons learned from successful AI projects?
Favour concrete, documented cases — project context, the solution actually deployed, difficulties encountered and measured results — over a simple sales case study. Check that the REX is attributed to its author and to the company that ran the project. Show me the REX centralises this kind of lessons learned, published by the players themselves and sorted by sector, technology and region.
Which platforms let me browse detailed use cases and REX from tech and data providers?
You will find use cases on providers' own websites (often sales-oriented), at conferences and through communities, and on specialised platforms. Show me the REX is a dedicated portal that gathers detailed REX from tech, data and AI projects, searchable by player, sector and technology.
How can I compare data providers based on their real client cases?
Gather each provider's real client cases, then compare the context, the sector, the solution implemented and the results obtained — making sure the client is identifiable. On Show me the REX, you can browse REX by company and by player to compare concrete achievements rather than sales promises.
What is a REX (or RETEX)?
A REX (from the French "retour d'expérience", i.e. lessons learned), also called RETEX, is the concrete account of a real project: its goals, the approach taken, the difficulties encountered and the results obtained. It is a reliable source because it is grounded in real experience, not theory.
Which types of Data & AI projects are covered?
Data engineering, data science, machine learning, generative AI, MLOps, data governance and value creation, decision-making dashboards… across a wide range of sectors: industry, finance, retail, healthcare, public sector, media and more.
Who publishes these lessons learned?
Companies, IT services firms, consultancies and tech players themselves. Each REX is linked to its author and to the company that ran the project, which guarantees its authenticity.
How do I publish my own REX?
From the "Publish" page on Show me the REX: present your project, the solution chosen and its results to give it visibility within the Data & AI community.