Forward Data Conference | Data & AI Paris Event

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The themes of the 2025 edition

AI & ML Engineering

AI Strategy & Leadership

Data & AI
Governance and Organization

Data & Platform &
Analytics Engineering

Let's shape the future of the Data & AI community

Call for Papers

They participated last year

Joe Reis

Data Engineer and Architect, best selling author and course creator

25mn

Mixed Model Arts - The Convergence of Data Modeling Across Apps, Analytics, and AI

David Jayatillake

VP AI @Cube

25mn

AI on Data - snake oil or actually useful?

Claire Lebarz

Chief Data & AI Officer @Malt

25mn

Le futur du CDO et des équipes Data & IA

Robin Conquet

Founder @DataGen

25mn

Le futur du CDO et des équipes Data & IA

Naim Kosayyer

Product & AI Lead @Selfr

25mn

The Intrinsic Limitations of Large Language Models: Understanding Hallucinations and Their Impact on Data Workflows

Virginie Cornu

Co-Founder & CTPO @MyFenix

25mn

Le futur du CDO et des équipes Data & IA

Hannes Mühleisen

Co-Creator @DuckDB

20mn

Changing Large Tables Keynote

Tiankai Feng

Data Strategy Lead @ThoughWorks

Keynote

Humanizing Data Strategy

all speakers

We have the honor of welcoming to our stages

The 2025 speakers

Colin Zima

Co-Founder & CEO @Omni

Giada Pistilli

Principal Ethicist @Hugging Face

Lisa N. Cao

Staff Open Source Developer Relations @Databricks

Olga Petrova

Senior ML Engineer @Criteo

Juliette Duizabo

Head of Data @Photoroom

Emmanuel Martin-Chave

VP AI @DataGuard

Tiankai Feng

Data Strategy Lead @ThoughWorks

Naim Kosayyer

Product & AI Lead @Selfr

Joe Reis

Data Engineer and Architect, best selling author and course creator

all the speakers

Call for papers is open

You can apply to speak at the conference. We value diverse profiles who like to share their point of view on major Data and AI topics.
Sessions can be held in French or in English.
We can also assist beginner speakers in preparing their presentations.

Suggest a talk

2024 edition's partners

Become a Partner

Castordoc is a Modern Data Catalog designed to harness the power of your company's data through AI, enabling teams to make data-driven decisions while maintaining full control.

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Corail Analytics and Omni join forces to transform your data into actionable insights! At Corail Analytics, they help you structure your unorganized data and transform it into powerful dashboards by building a custom data stack. Omni is an intuitive business intelligence solution, where you can explore, visualize, and model your data in your own way, whether from spreadsheets or SQL databases, on a single platform.

Corail Analytics

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Omni

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Mirakl enables companies to boost their growth and efficiency in eCommerce through its leading SaaS solution suite, covering marketplaces, dropshipping, retail media, supplier catalog management, and payments.

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SYNQ enables data-driven companies to grow through its pioneering platform. This platform helps data teams move from being second-class citizens to trusted owners of critical business data, ensuring data observability for analytical engineering workflows.

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nibble.ai are the creators of spice, an innovative feature platform designed to streamline feature engineering and accelerate the operationalization of ML models. nibble.ai is also deeply engaged in the French ML community, actively organizing and hosting online & offline events focused on hashtag#MLOps best practices.

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Since 2014, Sparkline has been supporting companies in recruiting and developing strategic skills for their teams specialized in Data and Artificial Intelligence (AI). Their offer encompasses all stages of the life cycle of a team, ranging from permanent recruitment, to the placement of freelancers, to upskilling. The objective of Sparkline is to enable companies to value their data assets and to exploit AI as a lever for growth and optimization of their performance.

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Founded in 2019, Monte Carlo, the data observability leader, works with Fox, Comcast, CreditKarma, Roche, and hundreds of enterprises to help them achieve trust in data. Named a “New Relic for data” by Forbes, Monte Carlo is rated as the #1 Data Observability solution by G2 Crowd, GigaOm, and Ventana Research, and is consistently cited as a data observability leader by Gartner and Forrester.

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Let's become partners

Join us to support innovation and sharing, become a sponsor of the

sponsoring

Organizers

The team

Our mission is to help and inspire people to pursue new perspectives by putting data at the heart of their decisions, so that everyone can create better products and have a positive impact.AI Product Day rassemble les acteurs qui façonnent l'avenir de la Data. Nous croyons que le partage d'expériences et l'inspiration mutuelle sont essentiels pour créer un impact durable. À travers nos missions de conseil et nos événements tech, nous construisons un écosystème où la Data et l'IA servent à prendre de meilleures décisions et à créer des produits qui ont du sens.
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The Modern Data Network is a network of over 700 Data Leaders from French Tech, gathered around a Slack community for sharing and learning, and organizing live and offline meetups.
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Christophe has been a data engineering professional for eight years. Passionate about all things data ever since. Having learned a lot on his own thanks to the resources available online, he publishes a weekly newsletter on data engineering.
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