The AI Leadership Summit 2027 is IDC’s premier event for the senior French executives shaping AI-fueled enterprise strategy across France. This full-day event delivers high-impact insights and actionable strategies focused on the leadership decisions that determine AI value in France: scaling AI responsibly under the EU AI Act, governing agentic systems aligned with GDPR, navigating digital sovereignty and regulation, and translating AI investment into measurable business outcomes
Spanish leaders need a clear framework to govern AI, close the adoption gap and turn France’s first-mover regulatory advantage into competitive edge.
The AI Leadership Summit France is built for the executives at the centre of that work. What you will take away:
Communicating AI’s potential and securing the resources to deliver it.
Balancing new revenue creation with substantial revenue-per-employee gains
Redesigning European workforce models as AI agents reshape the Europe organizations’ work strategies.
Advancing from AI-assisted to increasingly autonomous operations while meeting data privacy and auditability standards.
Rebuilding the tech stack around AI with business architecture as the blueprint.
Redesigning enterprise workflows for AI-enabled execution under composite AI and agentic models.
Building scalable governance, oversight and transparency into enterprise AI systems.
Reshaping how productivity is measured across every business function.
Every Global 100 firm will spend at least $2 million annually on unified AI governance, making governance a permanent and material line item on the enterprise P&L.
Which of the following are the most important factors driving AI adoption in your organization?
In France, data growth is the dominant driver of AI adoption (56%), well ahead of technology availability (36%) and competitive pressure (34%).
Executive mandates rank lowest at 18%, suggesting AI investment in Spanish organizations is being pulled by operational necessity rather than top-down directive.
IDC Survey: AI Platforms & Governance, France, N=50
Directeur de la Transformation Digitale & Données RH
FRANCE TRAVAIL
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VP Data
ACCOR
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Responsable de l'accélération IA
BPIFRANCE
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SVP, Chief AI Officer
SCHNEIDER ELECTRIC
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Head of Data & AI Operation
RENAULT
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Digital Transformation Manager
HUSQVARNA
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Impact AI board member
CFE CGC AI federal referent
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Group Transformation Director
COFACE
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AI & Data Team Group Director
HAGER GROUP
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Head of Data Science and Artificial Intelligence
SUEZ
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Présidente du
Réseau Emplois Compétences et Prospective Métiers et Qualifications
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Workforce Preparedness
Author of « RH & IA »
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Global CIO & CISO
FIDAL
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Director Enterprise Benelux, France and Nordics
NVIDIA
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France Server Brand Manager
DELL TECHNOLOGIES
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Senior Presales Manager, Systems Engineering – CTO Ambassador
DELL TECHNOLOGIES
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Senior Director – ISG Specialty Sales France
DELL TECHNOLOGIES
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Research Director
IDC
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SVP Sales & Commercial Strategy Southern Europe
Syndigo
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Senior Manager, Sales Engineering
Veeam France
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Regional Sales Manager Securiti AI
Veeam France
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Embedding AI into public service processes
Insights from the Court of Auditors
Completed projects and roadmap for implementation
Collaboration between AI systems and human staff
Long-term perspective on employment and workforce evolution
Strategic structuring and institutional governance. How can AI be industrialized across complex organizations?
Philippe Rambach, SVP Chief AI Officer, Schneider Electric
Christophe Vaudable, VP Data, Accor
AI as a Direct Driver of Growth and Sales Efficiency
Nicolas Grandclaude, Digital Transformation Manager, Husqvarna
AI powering commercial performance
ROI as a key performance indicator
Measuring tangible and intangible impacts
Christophe Vaudable, VP Data, Accor
AI and Generative AI in sales
Task reorganization and process optimization
Implications for workforce and investment planning
Operational and transformational, focused on mobilizing organizations.
How can we move from strategic intent to tangible transformation of teams, practices, and decision-making models?
Pierre Jarrijon, Head of AI Acceleration, Bpifrance
Cyrille Charnier, Data Science & Artificial Intelligence Director, Verallia Group
Strategic structuring and institutional governance. How can AI be industrialized across complex organizations?
Philippe Rambach, SVP Chief AI Officer, Schneider Electric
Christophe Vaudable, VP Data, Accor
Olaf Kouamo, Head of Data Science & AI, SUEZ
Applying AI to waste and water management operations
Nicolas Fayet, Group Transformation Director, Coface
AI for global financial data analysis
Human + AI: driving complementary decision-making
Sébastien Pacchini, Head of Data & AI Operations, Renault
AI in vehicle design
Using data to support engineering decisions
Enabling business teams through data and AI adoption
AI as a Direct Driver of Growth and Sales Efficiency
Nicolas Grandclaude, Digital Transformation Manager, Husqvarna
AI powering commercial performance
ROI as a key performance indicator
Measuring tangible and intangible impacts
Christophe Vaudable, VP Data, Accor
AI and Generative AI in sales
Task reorganization and process optimization
Implications for workforce and investment planning
A visionary debate on:
Olaf Kouamo, Head of Data Science & AI, SUEZ
Applying AI to waste and water management operations
Nicolas Fayet, Group Transformation Director, Coface
AI for global financial data analysis
Human + AI: driving complementary decision-making
Sébastien Pacchini, Head of Data & AI Operations, Renault
AI in vehicle design
Using data to support engineering decisions
Enabling business teams through data and AI adoption
Cross-functional deployment across the organization
Board and team relations
Accelerators and points of resistance
Olaf Kouamo, Head of Data Science & AI, SUEZ
Applying AI to waste and water management operations
Nicolas Fayet, Group Transformation Director, Coface
AI for global financial data analysis
Human + AI: driving complementary decision-making
Sébastien Pacchini, Head of Data & AI Operations, Renault
AI in vehicle design
Using data to support engineering decisions
Enabling business teams through data and AI adoption
A visionary debate on:
Operational efficiency gains
Guidelines and responsible AI usage
Nat Ives est un leader reconnu dans le domaine des technologies, qui accompagne les organisations dans la mise en œuvre d’une IA ambitieuse et créatrice de valeur. Directeur Enterprise de NVIDIA pour la France, le Benelux et les pays nordiques, il pilote le développement de plateformes de nouvelle génération dédiées à l’IA, au HPC et aux jumeaux numériques. Fort de plus de 25 ans d’expérience dans l’IT et le conseil, il contribue à structurer des écosystèmes d’IA souverains, durables et industriels. Conférencier prisé et ancien navigateur professionnel, il se distingue par une prise de décision rapide et un sens aigu de la performance collective.
From infrastructure to business value: how to successfully deliver your AI project with an AI Factory accelerated by NVIDIA and Dell Technologies.
Maliky Camara est un expert reconnu des technologies datacenter, avec plus de 15 ans d’expérience couvrant l’architecture IT, le pré sales, le marketing et la stratégie produit. Senior Datacenter Strategist et membre de l’AI TaskForce France chez Dell Technologies, il accompagne les organisations dans la modernisation de leurs infrastructures compute, storage et cooling. Passionné par la vulgarisation technologique, il excelle à transformer des sujets complexes en solutions concrètes et opérationnelles. Son approche collaborative et tournée vers l’innovation fait de lui un acteur clé de la transformation numérique.
Dell Technologies and NVIDIA Workshop – Implementing a Private and Sovereign AI Stack: Leveraging the Right Models and Data for Your Business Use Cases
With the insights of Eric Bézille and Maliky Camara, let’s build together your secure, sovereign, and high-performance Data & AI platform, integrated into your IT system and aligned with your business challenges.
Our Promises / benefits at the end of the Workshop:
Under what conditions can sovereignty, security, and performance truly coexist in your AI strategy?
In what way does starting from your business use cases allow for providing the right models to your teams?
How far can you (re)take control of your data, your models, and your infrastructure?
What steps should be taken to sustainably move from POC to the industrialization of your AI use cases?
And above all, you will leave with a roadmap and operational advice to structure your next steps.
Eric est Distinguished CTO Ambassador EMEA et responsable des Architectes Solutions Dell Technologies France. Il dirige une équipe d’architectes chargés d’accompagner la transformation des clients, de l’IA à la modernisation des data centers en passant par la cyberprotection. Il intervient auprès d’organisations de tous secteurs sur des projets stratégiques autour des grandes initiatives de transformation de l’IA, des données et des infrastructures. Diplômé en informatique et sciences de l’information, il est également père de trois enfants, coureur et collectionneur de vins du monde.
Dell Technologies and NVIDIA Workshop – Implementing a Private and Sovereign AI Stack: Leveraging the Right Models and Data for Your Business Use Cases
With the insights of Eric Bézille and Maliky Camara, let’s build together your secure, sovereign, and high-performance Data & AI platform, integrated into your IT system and aligned with your business challenges.
Our Promises / benefits at the end of the Workshop:
Under what conditions can sovereignty, security, and performance truly coexist in your AI strategy?
In what way does starting from your business use cases allow for providing the right models to your teams?
How far can you (re)take control of your data, your models, and your infrastructure?
What steps should be taken to sustainably move from POC to the industrialization of your AI use cases?
And above all, you will leave with a roadmap and operational advice to structure your next steps.
Rahmani CHERCHARI est Senior Director, ISG Product and Solutions Sales Specialist et France BU Leader chez Dell Technologies. Il accompagne les clients dans la conception et le déploiement de solutions complètes, de l’infrastructure aux plateformes data et IA. En s’appuyant sur l’écosystème Dell Technologies et ses partenaires, il aide les organisations à accélérer leurs projets de modernisation et d’intelligence artificielle. Fort d’une solide expérience dans les technologies d’infrastructure et de cloud, il intervient régulièrement pour partager sa vision sur l’industrialisation de l’IA en entreprise.
From infrastructure to business value: how to successfully deliver your AI project with an AI Factory accelerated by NVIDIA and Dell Technologies.
Ewa Zborowska, an experienced technology professional with over two decades of expertise in the European IT services and cloud market. Since 2003, she has been a member of the IDC team, based in Warsaw, focusing on IT services research. In 2018, she joined the European team with a specific emphasis on cloud and AI.
Ms. Zborowska’s interests encompass a broad spectrum, from exploring new technology delivery models to delving into the relationship between business and IT, and understanding the societal and individual impacts of technology. She has authored numerous market publications and reports and advises on IDC projects throughout Europe. She also participates in IDC’s and third-party conferences as a keynote speaker, panelist, and moderator.
Prior to her role at IDC, Ms. Zborowska worked at Statistics Poland (formerly the Central Statistical Office) and worked at an IT company. She holds a degree in Management from the University of Łódź in Poland and has completed postgraduate studies in forecasting and foresight at Collegium Civitas University in Warsaw.
Can AI Deliver Both Performance and Responsibility?
Explore IDC’s insights on the AI revolution, the critical trade-offs between performance, governance, and responsibility, and the pivotal role of IT, data, and business leaders in shaping the future of AI.
Workshop Syndigo – Garbage In, Autonomous Chaos Out: Why Agentic AI Fails Without Trusted Data
with the following structure:
– Reality Check: Is Your Data Ready for Autonomous AI? What does “high quality data mean”? Do you know the six main criteria of quality data?
– Scenario: AI Agents Making Product Decisions
– Interactive Exercise: Designing Data for an AI Agent
– Framework: The Data Foundation for Agentic Commerce
– Closing Insight
Driving AI Innovation Without Losing Control
Key insights on aligning technology, governance, and organizational choices to achieve innovation, performance, and responsibility.
Mastering your data means mastering your AI within the organization. Discover how to map your data, automate compliance, strengthen governance, and protect sensitive data to ensure a controlled use of AI.
Mastering your data means mastering your AI within the organization. Discover how to map your data, automate compliance, strengthen governance, and protect sensitive data to ensure a controlled use of AI.
10 bis Rue du 4 Septembre, 75002 Paris
Once again this year, we look forward to seeing you at the Cloud Business Center, in the heart of Paris’s 2nd arrondissement.
A central location, easily accessible by public transportation, and ideal for getting together and networking.
Frame AI as a board-level capability, not an IT side project.
Operationalize compliance, ethics and cost control as AI scales.
Translate AI investment into measurable revenue-per-employee gains.
Build the talent, culture and operating model for an AI-Fueled Enterprise.
How leaders move beyond AI experimentation to enterprise-wide orchestration, and what it takes to turn fragmented pilots into operational impact in the agentic economy.
Agentic AI will enhance the capabilities of more than 40% of enterprise applications by 2027. How IT and business leaders are governing, costing and scaling the shift.
The CIO is now the chief orchestrator of the intelligent enterprise. The ten IDC predictions defining the agentic, quantum-aware and edge-intelligent enterprise.
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