Data Conference Databasea Query.Farm index
Conferences / Forward Data Conference

Forward Data Conference 2026

Nov 16, 2026 · Cité Internationale Universitaire de Paris, Paris, France Announced

Conference
Forward Data Conference Vendor & industry
Dates
Nov 16, 2026
Venue
Cité Internationale Universitaire de Paris
Place
Paris, France
Format
In person
Status
Announced
Attendance
650
Organiser's site: '650 expected attendees' (pre-event).
Website
forward-data-conference.com
Recorded
8 sponsors · 43 speaker appearances
Notes
Third edition, branded FWDC 2026. 3 stages, 4 themes, 42 speakers announced as of 2026-11-08 (lineup revealed weekly). Organised by Hymaïa, Modern Data Network and Christophe Blefari. Ticket prices from the Billetweb shop (EUR, as displayed).

Ticket prices

TicketPriceValid untilNotesSource
Evening Pass (networking evening only, no conference)€45—billetweb.fr
Super Early Bird€99—Sold out by 2026-11-08billetweb.fr
Early Bird€199—Sold out by 2026-11-08billetweb.fr
Regular€299—Sales over by 2026-11-08billetweb.fr
Late Bird€399—On sale 2026-11-08billetweb.fr

Sponsors 8

Speakers and talks 43

SpeakerCompanyRoleTalkLinks
Christophe Blefarinao LabsKeynoteEveryone's an analyst (and that's great)—
Virginie Cornu—KeynoteWhen work fragments between humans and AI: the continuity challenge—
Adrien MorvanMiraklSpeakerWhy Ship an AI You Can't Measure? Building an LLM Judge You Can Actually Trust, at the Scale of Millions of Products—
Alexis BlandinJolimoiSpeakerAI will make your organization obsolete. If you have one—
Aloÿs AugustinCassisSpeakerRules vs example queries: what context helps your analytics agent the most?—
Benjamin Joyen-ConseilDecathlonSpeakerFrom the Gold layer to a federated Context: Decathlon's journey—
Céline ToLeboncoinSpeakerTowards self-serve analytics: a year of data transformation at leboncoin—
Charles AndréQontoSpeakerHow a Small Data Platform Team Serves 2,000 People — with Self-Service and AI—
Charlotte LedouxMaketoolsSpeakerThe future of data governance in the age of AI agents—
Claire Gouzenao LabsSpeakerContext engineering for analytics agents that actually work—
Emma WagnerGorgiasSpeakerHow to build a context factory for analytical agents—
Gaël VaroquauxProbablSpeakerWhat to expect of a data-science agent?—
Guillaume GondéTheodoSpeakerLLM inference : What actually happens in the 2 seconds after you hit enter on Claude—
Hugo PalmerDecathlonSpeakerFrom the Gold layer to a federated Context: Decathlon's journey—
Irad Cohenmonday.comSpeakerOne Agent Is a Feature. Three Agents Are a Platform.—
Jeremy ChiaVintedSpeakerWhat do Job Descriptions tell us about Analytics Engineering in 2026?—
Joe ReisDeeplearning.aiSpeakerRespect My Ontology: Why the Data and Knowledge Camps are Doing a "W.T.F."—
Jules GuillotGorgiasSpeakerHow to build a context factory for analytical agents—
Julien AubertMaltSpeakerMalt field report: from experimentation to production, adapting your observability infrastructure for generative AI—
Juliette DuizaboPhotoroomSpeakerHow we use agents to 10x our data team—
Karim CadiLumAppsSpeakerBuilding a Forward Deployed Engineering team inside a software vendor: LumApps' lessons—
Luc LegardeurWeScale & SolarioSpeakerRecipes for the AI-augmented SDLC—
Marco SaettaDoctolibSpeakerBuilding the AI factory: the operating-model shifts behind Doctolib's AI products—
Matthieu SerekLumAppsSpeakerBuilding a Forward Deployed Engineering team inside a software vendor: LumApps' lessons—
Maxime RosinaBlaBlaCarSpeaker(Re)Building an AI-Ready data universe—
Mehdi OuazzaMotherDuckSpeakerThe Next Data Stack Has No UI: Building End-to-End Analytics with Agents and Ducks—
Mehdi OuazzaMotherDuckSpeakerSpeedrunning Analytics in 60 seconds, no cuts—
Michael OurchQontoSpeakerHow a Small Data Platform Team Serves 2,000 People — with Self-Service and AI—
Nicolas MartignoleBack MarketSpeakerHow Back Market moved into agentic AI in 12 months, and everything is fine, thank you.—
Nicolas MautiMaltSpeakerMalt field report: from experimentation to production, adapting your observability infrastructure for generative AI—
Noé AchacheWeflayrSpeakerThe AI FinOps levers that actually move your LLM bill—
Olga PetrovaCriteoSpeakerContext Engineering for Large-Scale Product Search—
Oussama Taki AmraniMiraklSpeakerWhy Ship an AI You Can't Measure? Building an LLM Judge You Can Actually Trust, at the Scale of Millions of Products—
Patrice Chaperon—SpeakerTowards self-serve analytics: a year of data transformation at leboncoin—
Paul MarcombesOptic 2000SpeakerAnalytics that builds the platform: say goodbye to Ticketing 2.0 with agents in the git repo—
Pierre CourvoisierSophtSpeakerData Quality at Scale: Building a Robust Framework for Complex data Models—
Samir AkariohScalingoSpeakerMCP in production: the security pitfalls to avoid—
Steve BuckinghamBack MarketSpeakerEveryone has an analyst in their pocket now. What's left for the data team?—
Sylvain UtardAltertable.aiSpeakerDuckDB, dbt, and the Death of Pipeline Glue—
Taha Le BrasSupabaseSpeakerThe Agent OS: a harness to survive a $100M to $400M year—
Vincent JolivetClickHouseSpeakerAre data stacks ready for agents?—
Winfried Adalbert EtzelWinfried Etzel ASSpeakerFrom Handover to Hangover: How Organizations Delegate Decisions to Machines and Lose Accountability on the Way—
Yochan KhoiGorgiasSpeakerHow to build a context factory for analytical agents—

Sources