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NOVEMBER 18–19, 2026
PARIS EXPO PORTE DE VERSAILLES

CO-LOCATED SHOWS

2026 Data & AI Leaders Summit Program

Two Days to Accelerate Your Data and AI Strategy

On November 18 and 19, 2026, the Data & AI Leaders Summit Paris will bring together decision-makers in the fields of data and artificial intelligence for two days of keynote speeches, panel discussions, and case studies.

Data strategy, generative AI, governance, analytics, and business use cases: Discover discussions designed to help you structure your projects, accelerate their deployment, and turn your data into value.

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Would you like to learn more about the other conferences at Tech Show Paris? Click on the logo for the corresponding event to view its full program.

Explore the Data & AI Program

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Theater Sponsors:
  1. T6 : IA & DONNEES EN ACTION
    Sponsored by:
    Scaling Up AI: Why Do So Many Projects Fail to Reach Production?
    • Industrialisation makes all the difference
    AI projects are on the rise, but many remain stuck at the pilot stage. Why do some initiatives move into production while others get bogged down? Drawing on real-world experiences, this session analyzes the organizational, technical, and regulatory barriers to scaling up. An unfiltered discussion on what does—and does not—contribute to the successful industrialization of AI.
    Moderator
    Olivier Mamavi
    Olivier Mamavi, Editorial Director, Management & Data Science
    Speaker(s)
    Florentin Bouvet
    Florentin Bouvet, Global Head of Analytics, La Redoute
    Fleur Anne Blain
    Fleur Anne Blain, Head of Digital Solutions, ENGIE Digital
    Mossaab Souaissa
    Mossaab Souaissa, Information Systems Manager, JCconfection
  2. T6 : IA & DONNEES EN ACTION
    Sponsored by:
    When it comes to decision-making, AI isn't the problem. You are.
    • Bad data can ruin good AI
    Companies are investing heavily in data and AI to produce increasingly reliable analyses and increasingly relevant recommendations. However, even the best recommendations are worthless if they are not understood, accepted, or used properly. In the age of AI, the challenge is therefore no longer simply to produce accurate data or a high-performing model. It is to transform this intelligence into a true driver of decision-making, communication, and creativity … Read More
    Speaker(s)
    Philippe Lambert
    Philippe Lambert, Director of Academic Affairs, SKOLAE Formation – M2I
    Alexandre Heron
    Alexandre Heron, Lead Consultant for Data & AI, SKOLAE Formation – M2I
  3. T6 : IA & DONNEES EN ACTION
    From Available Data to Reliable Data: Where Does Trust Really Come Into Play?
    • Bad data can ruin good AI
    AI promises to create value from data. But there is often a significant gap between available data and data that can actually be used. Quality, traceability, catalogs, governance: where does trust really come into play? This session explores why the value of AI depends first and foremost on the reliability of the data that feeds it.
    Moderator
    Céline Redon
    Céline Redon, Ambassador, WOMEN4CYBER
    Speaker(s)
    Alexis Rouet
    Alexis Rouet, Chief Data Officer, HR Function, Renault Group
    Camille Maire
    Camille Maire, Head of Data Governance, Etam Group
    Romain Lamotte
    Romain Lamotte, Partner, Head of Data & AI, KPMG
  4. T6 : IA & DONNEES EN ACTION
    Sponsored by:
    Onboarding Data from Suppliers and Partners Using AI
    • Bad data can ruin good AI
    • Industrialisation makes all the difference
    A thousand suppliers, a thousand formats. Vendor catalogs on a marketplace, supplier files, and data exports from partners onboarding to your platform. When data comes from outside sources, we tend to ask our partners to conform to our format. They rarely do. Entire teams are dedicated to integrating this data into our systems—a cost that can be significantly reduced with AI.  Stéphane Jauffret, former head of Amazon’s marketplace and co-founder … Read More
    Speaker(s)
    Stéphane Jauffret
    Stéphane Jauffret, CEO, WeTransform
  5. T6 : IA & DONNEES EN ACTION
    AI Governance: How Do We Move from Principles to Implementation?
    • Industrialisation makes all the difference
    • Compliance underpins responsible use
    • Governance fosters trust at scale
    Between regulatory requirements, risk management, and the pursuit of value, AI governance can no longer remain a theoretical exercise. Many organizations, however, struggle to translate their principles into operational practices. How can we move from statements of intent to governance that is effective, measurable, and tailored to actual use cases? How can we define a framework robust enough to manage risks? What lessons can we learn from early implementations to build a governance … Read More
    Moderator
    Emmanuelle Olivié-Paul
    Emmanuelle Olivié-Paul, Founding President, AdVaes
    Speaker(s)
    Aldrick Zappellini
    Aldrick Zappellini, Group Chief Data & AI Officer, Crédit Agricole
    Arnaud Martin
    Arnaud Martin, Director of Operational Risk, Caisse des Dépôts
    Armand Lacombe
    Armand Lacombe, AI Project Manager, Directorate General for Enterprises
    Isabelle Pages
    Isabelle Pages, IT Manager, Federation of Users, La Bicyclette
  6. T6 : IA & DONNEES EN ACTION
    Sponsored by:
    We tested agent-based AI on our processes and those of our clients: results and lessons learned—what benefits does it offer businesses, and how can it be implemented?
    Before helping our clients with this, we decided to start by implementing agent-based AI within our own organization. From cross-functional roles to 100% tech-focused positions, we tested, failed, and started over—ultimately developing a robust methodology that was proven first within our own company and then with our clients. From cross-functional roles to 100% tech-focused teams, we tested, broke things, and started over, ultimately developing a solid, proven method that we then rolled out to our clients. In this talk, we’ll share what worked… Read More
    Speaker(s)
    Paul-Mehdi M'Rabet
    Paul-Mehdi M'Rabet, Partner, Lenstra
  7. T6 : IA & DONNEES EN ACTION
    The Trust Paradox: When Overreliance on AI Becomes a Business Risk
    • Governance fosters trust at scale
    As AI systems become increasingly sophisticated at inferring emotional states and personalizing interactions, companies have been pursuing a clear goal: to increase user trust. But what happens when this goal becomes too successful? In this talk, we explore the concept of “overtrust” and how users’ psychological dependence creates new risk vectors that traditional IT metrics fail to capture. We examine how decision automation and subjective inference can gradually erode user autonomy, gen … Read More
    Speaker(s)
    Ana Catarina De Alencar
    Ana Catarina De Alencar, Resident Philosopher, The AI Collective
  8. T6 : IA & DONNEES EN ACTION
    Sponsored by:
    AI in Business: Why Do Fewer Than 30% of Organizations Succeed in Adopting It?
    • Bad data can ruin good AI
    • Industrialisation makes all the difference
    • Governance fosters trust at scale
    By 2026, fewer than one in three organizations had succeeded in integrating AI into their teams’ daily work. The tools are now widely available and often deployed, but embedding their use remains the main challenge. How can we move from simply deploying tools to ensuring that AI is actually used by everyone, every day? During this session, Mendo will present its approach to making AI a natural part of daily life, based on four key drivers: the combination of people and technology, the … Read More
    Speaker(s)
    Clément Teytaut
    Clément Teytaut, Head of Sales, MENDO
  9. T6 : IA & DONNEES EN ACTION
    Sponsored by:
    Toward Reliable Data Models Generated in Minutes: LLMs and Determinism
    • Industrialisation makes all the difference
    In a business intelligence (BI) project, it’s not the dashboard that costs the most, but everything that comes before it. Connecting data sources, understanding tables, identifying keys and relationships, and then building the data model: this work takes weeks and requires experts. SEIKAI, in collaboration with LIS (CNRS) and AMSE, is conducting an R&D program to automate this process. Deterministic algorithms (key detection, Levenshtein distance, entropy, etc.) calculate … Read More
    Speaker(s)
    Anthony Tinson
    Anthony Tinson, CEO, SEIKAI
  10. T6 : IA & DONNEES EN ACTION
    AI: Can Profitability Withstand Rising Energy and Carbon Costs?
    • Industrialisation makes all the difference
    Investments in AI are skyrocketing, but their profitability remains difficult to measure over the long term. Beyond the promised productivity gains, companies must factor in costs that are often underestimated: infrastructure, monitoring, compliance, energy consumption, and carbon footprint. This roundtable discussion will examine what profitable AI truly means in the medium term, when technology decisions must also take into account their energy, financial, and environmental costs.
    Moderator
    Manon Dubien
    Manon Dubien, Vice President, CEFCYS
    Speaker(s)
    Mathieu Wellhoff
    Mathieu Wellhoff, Department Head, ADEME
    Arnaud Gueguen
    Arnaud Gueguen, IT Expert, The Shift Project
  11. T6 : IA & DONNEES EN ACTION
    Sponsored by:
    Session presented by WITBOOST

An event at the heart of the tech ecosystem

Your badge grants you access to five additional events

By attending the Data & AI Leaders Summit Paris, you’ll also have access to the conferences and exhibition areas at the other Tech Show Paris events, allowing you to explore the technologies that are accelerating business transformation.

Your badge grants you unrestricted access to the conferences and exhibition areas at these five events.

An edition driven by data and AI innovation

A steering committee closely attuned to market challenges

The program for the Data & AI Leaders Summit Paris is developed in collaboration with the Tech Show Paris steering committee, which is composed of executives, data experts, artificial intelligence professionals, and decision-makers from various sectors.

Their mission: to identify the trends that are transforming data and AI strategies and to develop a program aligned with organizations’ operational and business priorities.

Meet the members of the 2026 Steering Committee

Innovation thrives on a diversity of expertise

Innovation in data and artificial intelligence relies on a diversity of profiles, backgrounds, and perspectives.

Through Women & Diversity in Tech , and by the launch of The Ambassador Circle, Tech Show Paris highlights the talent driving the evolution of the data and AI ecosystem and promotes greater diversity in the digital workforce.

Frequently Asked Questions – Data & AI Leaders Summit Conferences

When will the Data & AI Leaders Summit Paris 2026 take place?

The Data & AI Leaders Summit Paris sessions will take place on Wednesday, November 18, and Thursday, November 19, 2026, at Paris Expo Porte de Versailles (Hall 5), as part of Tech Show Paris.

Are the 2026 program and sessions available?

Yes. The program for the Data & AI Leaders Summit Paris 2026 is now online and will be regularly updated with new presentations, panel discussions, and speakers as they are confirmed.

View the 2026 program

 

What topics will be covered during the sessions?

The conferences address key issues in data and artificial intelligence: data strategy, AI governance, generative AI, analytics, data management, innovation, and value creation.

You can also explore the main topics on our page dedicated to the themes of the Data & AI Leaders Summit Paris 2026.

How can I attend the conferences?

Access to the Data & AI Leaders Summit Paris sessions is included with your Tech Show Paris badge, subject to eligibility requirements and availability. Your badge also grants you access to the sessions and exhibition areas of the other Tech Show Paris events.

REGISTER FOR THE DATA & AI LEADERS SUMMIT PARIS 2026

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