Schedule 2026.
Three rooms, one day, November 16 at the Cité Universitaire in Paris.
Provisional schedule: times and rooms may still change before November 16.
Themes Data Foundations for Humans & AIAgentic Systems EngineeringEngineering ShiftsLeading the AI Shift
Language in French in English
Time
Salle Adenauer
Salon Honorat
Gulbenkian
08:30
09:15
09:30
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:45
13:50
13:55
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
Welcome breakfast
Opening words
Everyone's an analyst (and that's great) Christophe Blefari · nao Labs
Context engineering for analytics agents that actually work Claire Gouze · nao Labs
The Next Data Stack Has No UI: Building End-to-End Analytics with Agents and Ducks Mehdi Ouazza · MotherDuck
How to build a context factory for analytical agents Emma Wagner, Jules Guillot · Gorgias, Yochan Khoi · Gorgias
Data Quality at Scale: Building a Robust Framework for Complex data Models Pierre Courvoisier · Sopht
Analytics that builds the platform: say goodbye to Ticketing 2.0 with agents in the git repo Paul Marcombes
Break
Respect My Ontology: Why the Data and Knowledge Camps are Doing a "W.T.F." Joe Reis · Deeplearning.ai
(Re)Building an AI-Ready data universe Maxime Rosina
How we use agents to 10x our data team Juliette Duizabo
Why Ship an AI You Can't Measure? Building an LLM Judge You Can Actually Trust, at the Scale of Millions of Products Adrien Morvan · Mirakl, Oussama Taki Amrani · Mirakl
Hymaïa workshop
How Back Market moved into agentic AI in 12 months, and everything is fine, thank you. Nicolas Martignole · Back Market
Malt field report: from experimentation to production, adapting your observability infrastructure for generative AI Julien Aubert · Malt, Nicolas Mauti · Malt
Lunch
Speedrunning Analytics in 60 seconds, no cuts Mehdi Ouazza · MotherDuck
Building a Forward Deployed Engineering team inside a software vendor: LumApps' lessons Karim Cadi · LumApps, Matthieu Serek · LumApps
Are data stacks ready for agents? Vincent Jolivet · ClickHouse
What do Job Descriptions tell us about Analytics Engineering in 2026? Jeremy Chia · Vinted
Recipes for the AI-augmented SDLC Luc Legardeur · WeScale & Solario
LLM inference : What actually happens in the 2 seconds after you hit enter on Claude Guillaume Gondé · Theodo Data & AI
What to expect of a data-science agent? Gaël Varoquaux · Probabl
How a Small Data Platform Team Serves 2,000 People — with Self-Service and AI Charles André · Qonto, Michael Ourch · Qonto
Everyone has an analyst in their pocket now. What's left for the data team? Steve Buckingham · Back Market
Towards self-serve analytics: a year of data transformation at leboncoin Patrice Chaperon, Céline To · leboncoin
Rules vs example queries: what context helps your analytics agent the most? Aloÿs Augustin · Cassis
Context Engineering for Large-Scale Product Search Olga Petrova · Criteo
DuckDB, dbt, and the Death of Pipeline Glue Sylvain Utard
MCP in production: the security pitfalls to avoid Samir Akarioh · Scalingo
Break
The future of data governance in the age of AI agents Charlotte Ledoux
Sponsor workshop · Omni
From the Gold layer to a federated Context: Decathlon's journey Hugo Palmer · Decathlon, Benjamin Joyen-Conseil · Decathlon
From Handover to Hangover: How Organizations Delegate Decisions to Machines and Lose Accountability on the Way Winfried Adalbert Etzel · Winfried Etzel AS
Building the AI factory: the operating-model shifts behind Doctolib's AI products Marco Saetta · Doctolib
AI will make your organization obsolete. If you have one Alexis Blandin · Jolimoi
Closing drinks
- 08:30
- All rooms Welcome breakfast
- 09:15
- All rooms Opening words
- 09:30
- All rooms Everyone's an analyst (and that's great) Christophe Blefari · nao Labs
- 10:00
- Salle Adenauer Context engineering for analytics agents that actually work Claire Gouze · nao Labs
- Salon Honorat The Next Data Stack Has No UI: Building End-to-End Analytics with Agents and Ducks Mehdi Ouazza · MotherDuck
- 10:30
- Salle Adenauer How to build a context factory for analytical agents Emma Wagner, Jules Guillot · Gorgias, Yochan Khoi · Gorgias
- Salon Honorat Data Quality at Scale: Building a Robust Framework for Complex data Models Pierre Courvoisier · Sopht
- Gulbenkian · Deep dive Analytics that builds the platform: say goodbye to Ticketing 2.0 with agents in the git repo Paul Marcombes
- 11:00
- All rooms Break
- 11:30
- Salle Adenauer Respect My Ontology: Why the Data and Knowledge Camps are Doing a "W.T.F." Joe Reis · Deeplearning.ai
- Salon Honorat The Agent OS: a harness to survive a $100M to $400M year Taha Le Bras
- Gulbenkian · Deep dive (Re)Building an AI-Ready data universe Maxime Rosina
- 12:00
- Salle Adenauer How we use agents to 10x our data team Juliette Duizabo
- Salon Honorat Why Ship an AI You Can't Measure? Building an LLM Judge You Can Actually Trust, at the Scale of Millions of Products Adrien Morvan · Mirakl, Oussama Taki Amrani · Mirakl
- Gulbenkian · Deep dive Hymaïa workshop
- 12:30
- Salle Adenauer How Back Market moved into agentic AI in 12 months, and everything is fine, thank you. Nicolas Martignole · Back Market
- Salon Honorat Malt field report: from experimentation to production, adapting your observability infrastructure for generative AI Julien Aubert · Malt, Nicolas Mauti · Malt
- 13:00
- All rooms Lunch
- 13:45
- Salle Adenauer Speedrunning Analytics in 60 seconds, no cuts Mehdi Ouazza · MotherDuck
- Salon Honorat Building a Forward Deployed Engineering team inside a software vendor: LumApps' lessons Karim Cadi · LumApps, Matthieu Serek · LumApps
- 13:50
- Salle Adenauer Are data stacks ready for agents? Vincent Jolivet · ClickHouse
- Salon Honorat What do Job Descriptions tell us about Analytics Engineering in 2026? Jeremy Chia · Vinted
- 13:55
- Salle Adenauer Recipes for the AI-augmented SDLC Luc Legardeur · WeScale & Solario
- Salon Honorat LLM inference : What actually happens in the 2 seconds after you hit enter on Claude Guillaume Gondé · Theodo Data & AI
- 14:00
- Salle Adenauer What to expect of a data-science agent? Gaël Varoquaux · Probabl
- Salon Honorat How a Small Data Platform Team Serves 2,000 People — with Self-Service and AI Charles André · Qonto, Michael Ourch · Qonto
- Gulbenkian · Deep dive The AI FinOps levers that actually move your LLM bill Noé Achache
- 14:30
- Salle Adenauer Everyone has an analyst in their pocket now. What's left for the data team? Steve Buckingham · Back Market
- Salon Honorat Towards self-serve analytics: a year of data transformation at leboncoin Patrice Chaperon, Céline To · leboncoin
- Gulbenkian · Deep dive Rules vs example queries: what context helps your analytics agent the most? Aloÿs Augustin · Cassis
- 15:00
- Salle Adenauer Context Engineering for Large-Scale Product Search Olga Petrova · Criteo
- Salon Honorat DuckDB, dbt, and the Death of Pipeline Glue Sylvain Utard
- Gulbenkian · Deep dive MCP in production: the security pitfalls to avoid Samir Akarioh · Scalingo
- 15:30
- All rooms Break
- 16:00
- Salle Adenauer The future of data governance in the age of AI agents Charlotte Ledoux
- Salon Honorat One Agent Is a Feature. Three Agents Are a Platform. Irad Cohen
- Gulbenkian · Deep dive Sponsor workshop · Omni
- 16:30
- Salle Adenauer From the Gold layer to a federated Context: Decathlon's journey Hugo Palmer · Decathlon, Benjamin Joyen-Conseil · Decathlon
- Salon Honorat From Handover to Hangover: How Organizations Delegate Decisions to Machines and Lose Accountability on the Way Winfried Adalbert Etzel · Winfried Etzel AS
- 17:00
- Salle Adenauer Building the AI factory: the operating-model shifts behind Doctolib's AI products Marco Saetta · Doctolib
- Salon Honorat AI will make your organization obsolete. If you have one Alexis Blandin · Jolimoi
- 17:30
- All rooms When work fragments between humans and AI: the continuity challenge Virginie Cornu
- 18:00
- All rooms Closing drinks