About Yoann Benoit
Yoann is a recognized expert in adopting AI at scale. He helps organizations transform their culture by putting AI at the service of people: concrete use cases, ongoing and gamified training, safe spaces to experiment, and critical thinking. His multidisciplinary, collaborative approach turns AI into a lasting driver of performance and innovation.
He is convinced it is necessary to put the following pillars in place:
- A top-down and bottom-up vision: AI cannot simply be a tool made available, it requires strong leadership commitment and active team involvement.
- Creating an environment for experimentation: he promotes safe spaces where employees and leaders can test, make mistakes and learn, in order to develop critical thinking around AI use.
- Concrete use cases and tangible results: adoption doesn't come from prompt libraries, but from identifying real business needs (HR, marketing, business, etc.) and co-building tailored solutions.
- The importance of ongoing training: beyond the "one shot" approach, he champions playful, gamified learning journeys, with regular follow-up to embed skills over the long term.
- Communication and sharing best practices: he encourages showcasing early adopters and champions to build collective momentum and strengthen the company's AI culture.
- Measuring human and cultural impact: beyond an adoption rate, Yoann focuses on assessing the real effect on productivity, quality of work and how ways of collaborating are changing.
Trainer for these courses
AI Fundamentals
How can you get a concrete understanding of generative AI and bring it into your daily work? From understanding LLMs to building your own AI assistant, go from curiosity to hands-on implementation in a single day.
Building AI Agents for Product Teams
How do you build AI agents for your product use cases? Frame, prototype, and become a Product Builder.
Claude Code for Product Managers -- RS6891 Certification
Two days to build your PM Personal OS from scratch and earn the RS6891 certification.
Data & AI Product Manager
Are you a Product Manager looking to bring Data and AI into your digital products?
MLOps & Machine Learning End-To-End
How do you master the entire lifecycle of a Machine Learning project? From framing to deployment, from monitoring to automatic retraining, adopt MLOps best practices to speed up putting your models into production.
Author of these articles
leboncoin x Hymaïa: training Product & Engineering Managers on Data & AI challenges
How leboncoin trains its Product & Engineering Managers on Data & AI challenges.
January 28, 2026
The Forward Data Conference returns in 2025: bigger, more collective, more inspiring!
The Forward Data Conference returns in 2025 to connect the entire Data & AI community.
July 11, 2025
Forward Data Conference Paris 2024: joining the 1st edition of the international Data & AI conference
Why and how we created the Forward Data Conference, Paris's Data & AI conference.
July 9, 2025
From magic to mastery: demystifying AI to maximize its adoption
Overconfidence, disillusionment: how to move from magical thinking to real mastery of AI.
May 19, 2025
10 pitfalls limiting Data's impact on products and organizations
10 pitfalls that keep organizations from scaling Data. Do you recognize any of them?
May 12, 2025
3 things to know before building your data team
3 key lessons before building your Data team, drawn from 5 years of field experience.
May 12, 2025
Data Stories: Data Mesh at BlaBlaCar
How BlaBlaCar is rethinking its Data organization by drawing on Data Mesh principles.
May 12, 2025
Not having a diverse enough Data team
Does your Data team have every skill needed to build end-to-end Data products?
May 12, 2025
Believing Data culture stops at the Data team
Does everyone share the same definition of Data roles, responsibilities and stakes across your company?
May 12, 2025
Thinking Data is exempt from good Craft practices
Software Engineering best practices apply to your Data products too.
May 12, 2025
Seeing Data teams as "service vendors"
Does your Data team still have to convince the business to work with it?
May 12, 2025
Data is not an end in itself
Data only has value if it serves a clear business objective. Let's stop treating it as an end in itself.
May 12, 2025
Data acculturation is not a one-way effort
Data acculturation should be seen as a two-way journey, not a one-way street.
May 12, 2025
Responsible AI in 8 major challenges
Interpretability, bias, governance, ethics: the 8 major challenges for Responsible AI.
May 12, 2025
Artificial Intelligence according to Luc Julia
An interview with Luc Julia, co-creator of Siri and CSO at Renault, on his vision of AI.
May 12, 2025
MLOps: applying DevOps principles to Machine Learning
MLOps decoded: applying DevOps principles to Machine Learning to industrialize your models.
May 12, 2025
Thinking "one-shot" for Machine Learning industrialization
Putting an ML model into production is only the start. How to plan for industrialization from day one.
May 12, 2025
Over 80% of data projects never reach production, so what?
Over 80% of Data projects never reach production. Should we really be alarmed?
May 12, 2025
Data Science products: 6 modeling approaches to quickly build your MVP
6 approaches to building a Data Science MVP without waiting for the perfect model.
May 12, 2025
Data Science products: don't wait for the perfect model before industrializing!
Move quickly to an end-to-end MVP instead of perfecting your ML model.
May 12, 2025
AI products: a survival kit for ambitious Product Managers
The survival kit for Product Managers stepping into AI products.
May 12, 2025
What is Responsible AI?
The fundamentals of Responsible AI: definition, challenges and best practices for ethical AI products.
May 12, 2025
Falling into the infinite PoC trap
Why so many Data projects stay stuck at the PoC stage and never reach production.
May 12, 2025Their videos
Café Data avec Gaël Varoquaux
Video
[Hymaia] Data Mesh Café chez LeBoncoin
Video
Hymaïa x Luc Julia : Live Café
Video
Les secrets d'une équipe Data Science réussie : automatisation, diversité et innovation
Video
AI Act : Comment s'y préparer ?
Video
Créer des Produits d'IA en tant que Product Manager
Video
Data Product Management avec Anne-Claire Baschet
Video
Devoxx 2022 - Data At Scale 10 pitfalls holding you back bringing value from data at scale by Yoann Benoit
Video
[Hymaia] Data Mesh -Blablacar [Part 2] - Le Débrief
Video
[Hymaia] Le tour d'horizon du Data Mesh
Video
L'IA ÉTHIQUE C'EST QUOI?
Video
La Data Gouvernance
Video
[Meet] Yoann Benoit - Head of Data
VideoTheir talks
AI Product Day 2026
AI Product Day 2026 brought together more than 600 Product professionals for a packed day of over 30 talks and hands-on vibe coding workshops: hands-on Personal OS practice on Claude Code and vibe coding on Lovable.
Hymalive - Lead AI dans une Scale-Up avec Remi Takase de Mirakl
What are the challenges of being an AI Lead at a scale-up that wants to make AI its strategic battle horse?
Matinale Data Strategy & Mesure de ROI
The era of "free money" for Data is over, and companies now demand a clear ROI from the Data & AI initiatives that have been prioritized.
Hymalive - Hymaïa x Luc Julia
Live interview with Luc Julia, one of the greatest French thinkers in AI and technology
Hymalive - Café CDO chez PMU
Want to know what a Chief Data Officer's day-to-day really looks like?
Hymalive - Café Data Product chez Aramis Group
Interview with Anne-Claire Baschet, Chief Product & Data Officer at Aramis Group, about Data Products.
Hymalive - Data Mesh Café chez LeBonCoin
Join us on January 6 at 1:45pm for a LinkedIn Live interview with Julien Conan, Engineering Director in charge of the Data Tools & Services team at LeBonCoin.