Schedule · 11.16.2026

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 500 seats
Salon Honorat 200 seats
Gulbenkian Deep dive · 80 seats
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 08:30 → 09:15
Opening words 09:15 → 09:30
Everyone's an analyst (and that's great) Christophe Blefari · nao Labs 09:30 → 10:00 Keynote 🇬🇧
Context engineering for analytics agents that actually work Claire Gouze · nao Labs 10:00 → 10:30 🇬🇧
The Next Data Stack Has No UI: Building End-to-End Analytics with Agents and Ducks Mehdi Ouazza · MotherDuck 10:00 → 10:30 🇬🇧
Agents for everyone, without the chaos: how Malt governs its Internal AI Léo Martin · Malt 10:00 → 10:30 🇬🇧
How to build a context factory for analytical agents Emma Wagner · Gorgias, Jules Guillot · Gorgias, Arthur Edmond · Gorgias 10:30 → 11:00 🇬🇧
Data Quality at Scale: Building a Robust Framework for Complex data Models Pierre Courvoisier · Sopht 10:30 → 11:00 🇫🇷
Analytics that builds the platform: say goodbye to Ticketing 2.0 with agents in the git repo Paul Marcombes · Optic 2000 10:30 → 11:00 🇫🇷
Break 11:00 → 11:30
Respect My Ontology: Why the Data and Knowledge Camps are Doing a "W.T.F." Joe Reis · Deeplearning.ai 11:30 → 12:00 🇬🇧
The Agent OS: a harness to survive a $100M to $400M year Taha Le Bras · Supabase 11:30 → 12:00 🇬🇧
(Re)Building an AI-Ready data universe Maxime Rosina · BlaBlaCar 11:30 → 12:00 🇬🇧
How we use agents to 10x our data team Juliette Duizabo · Photoroom 12:00 → 12:30 🇬🇧
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 12:00 → 12:30 🇬🇧
Omni Hands-On Lab: Talk to Your Data to get answers and build assets Thibault Jauneau · Omni, Quentin Renault · Omni 12:00 → 13:00 Workshop 🇬🇧
How Back Market moved into agentic AI in 12 months, and everything is fine, thank you. Nicolas Martignole · Back Market 12:30 → 13:10 Long Talk 🇫🇷
Malt field report: from experimentation to production, adapting your observability infrastructure for generative AI Julien Aubert · Malt, Nicolas Mauti · Malt 12:30 → 13:10 Long Talk 🇫🇷
Lunch 13:00 → 13:45
Speedrunning Analytics in 60 seconds, no cuts Mehdi Ouazza · MotherDuck 13:45 → 13:50 Lightning 🇬🇧
Building a Forward Deployed Engineering team inside a software vendor: LumApps' lessons Karim Cadi · LumApps, Matthieu Serek · LumApps 13:45 → 13:50 Lightning 🇫🇷
Are data stacks ready for agents? Vincent Jolivet · ClickHouse 13:50 → 13:55 Lightning 🇬🇧
What do Job Descriptions tell us about Analytics Engineering in 2026? Jeremy Chia · Vinted 13:50 → 13:55 Lightning 🇬🇧
Recipes for the AI-augmented SDLC Luc Legardeur · WeScale & Solario 13:55 → 14:00 Lightning 🇫🇷
LLM inference : What actually happens in the 2 seconds after you hit enter on Claude Guillaume Gondé · Theodo Data & AI 13:55 → 14:00 Lightning 🇬🇧
What to expect of a data-science agent? Gaël Varoquaux · Probabl 14:00 → 14:30 🇬🇧
How a Small Data Platform Team Serves 2,000 People — with Self-Service and AI Charles André · Qonto, Michael Ourch · Qonto 14:00 → 14:30 🇬🇧
The AI FinOps levers that actually move your LLM bill Noé Achache · Weflayr 14:00 → 14:30 🇫🇷
Everyone has an analyst in their pocket now. What's left for the data team? Steve Buckingham · Back Market 14:30 → 15:00 🇬🇧
Towards self-serve analytics: a year of data transformation at leboncoin Patrice Chaperon · leboncoin, Céline To · leboncoin 14:30 → 15:00 🇫🇷
Rules vs example queries: what context helps your analytics agent the most? Aloÿs Augustin · Cassis 14:30 → 15:00 🇫🇷
Context Engineering for Large-Scale Product Search Olga Petrova · Criteo 15:00 → 15:30 🇬🇧
DuckDB, dbt, and the Death of Pipeline Glue Sylvain Utard · Altertable 15:00 → 15:30 🇬🇧
MCP in production: the security pitfalls to avoid Samir Akarioh · Scalingo 15:00 → 15:30 🇫🇷
Break 15:30 → 16:00
The future of data governance in the age of AI agents Charlotte Ledoux · Maketools 16:00 → 16:30 🇫🇷
One Agent Is a Feature. Three Agents Are a Platform. Irad Cohen · monday.com 16:00 → 16:30 🇬🇧
The SDLC, your main software product Simone Civetta · Hymaïa, Elsa Margier · Hymaïa 16:00 → 17:00 Workshop 🇫🇷
From the Gold layer to a federated Context: Decathlon's journey Hugo Palmer · Decathlon, Benjamin Joyen-Conseil · Decathlon 16:30 → 17:00 🇫🇷
From Handover to Hangover: How Organizations Delegate Decisions to Machines and Lose Accountability on the Way Winfried Adalbert Etzel · Winfried Etzel AS 16:30 → 17:00 🇬🇧
Building the AI factory: the operating-model shifts behind Doctolib's AI products Marco Saetta · Doctolib 17:00 → 17:30 🇫🇷
AI will make your organization obsolete. If you have one Alexis Blandin · Jolimoi 17:00 → 17:30 🇫🇷
When work fragments between humans and AI: the continuity challenge Virginie Cornu 17:30 → 18:00 Keynote 🇫🇷
Closing drinks 18:00 → 21:00
  1. 08:30
    • All rooms Welcome breakfast 08:30 → 09:15
  2. 09:15
    • All rooms Opening words 09:15 → 09:30
  3. 09:30
  4. 10:00
  5. 10:30
  6. 11:00
    • All rooms Break 11:00 → 11:30
  7. 11:30
  8. 12:00
  9. 12:30
  10. 13:00
    • All rooms Lunch 13:00 → 13:45
  11. 13:45
  12. 13:50
  13. 13:55
  14. 14:00
  15. 14:30
  16. 15:00
  17. 15:30
    • All rooms Break 15:30 → 16:00
  18. 16:00
  19. 16:30
  20. 17:00
  21. 17:30
  22. 18:00
    • All rooms Closing drinks 18:00 → 21:00
All 2026 talks → Book my seat →

Previous editions

2025 Talks → 2024 Talks →