Big Data & AI Paris 2026
by RX France (Reed Exhibitions)
Where French IT and data decision-makers come to industrialise AI
About This Event
Big Data & AI Paris 2026 is France's largest data and AI trade show, running 15-16 September 2026 at Paris Expo Porte de Versailles and organised by RX France. The 2026 edition expects 15,000 participants, 200 exhibitors and sponsors, and roughly 350 conferences and workshops, and restructures its strategic programme - branded Innovative Minds, with 300-plus speakers - around three dedicated halls that follow the data value chain end to end: building a modern, scalable and governed data architecture; establishing robust Data and AI governance against regulatory requirements; and business outcomes evidenced by customer case studies. Conference access is reserved for Full Pass and VIP holders. Open to every badge are seven rooms of workshops and startup pitches, a Village Advanced Computing zone covering high-performance computing, quantum and semiconductors, and a Talent Hub addressing the data and AI hiring gap. The 2026 advisory board draws senior executives from AXA France, L'Oreal, SUEZ and Credit Agricole.
At a Glance
- Date
- September 15–16, 2026
- Location
- Paris Expo Porte de Versailles, France
- Format
- In-Person
- Event Type
- Expo
- Status
- Upcoming
- Expected Attendance
- 15,000+
- Pricing
- Paid
- Organizer
- RX France (Reed Exhibitions)
- Added
- Aug 2, 2026
- Updated
- Aug 2, 2026
Topics & Focus Areas
Who Should Attend
- ✓Chief Data Officers
- ✓CIOs and DSIs
- ✓CTOs
- ✓Heads of Data and data platform leaders
- ✓AI/ML engineering leads
- ✓Data governance and compliance leaders
- ✓Enterprise architects
Why Attend
This is the one event where a European CDO or CIO can compare notes with peers running the same regulatory gauntlet - EU AI Act, data sovereignty, GDPR - instead of reading about it. The three-hall structure is built for a buying committee: architecture leads sit in one, governance and risk in another, business owners in the third, and the matchmaking platform books meetings with 200 exhibitors in between. The Advanced Computing village means compute-supply and application decisions get made in the same building, over two days, without a transatlantic flight.
Event Features
- ✓Conference track: Architecture - building a modern, scalable and governed data foundation (Full Pass/VIP only)
- ✓Conference track: Governance - aligning Data and AI practice with regulatory requirements (Full Pass/VIP only)
- ✓Conference track: Business - case studies and concrete measurable results (Full Pass/VIP only)
- ✓Innovative Minds keynote programme with 300+ speakers
- ✓Seven rooms of workshops and startup pitches, open to all pass types
- ✓Village Advanced Computing: high-performance computing, quantum and semiconductors
- ✓Talent Hub - recruitment and skills-development zone for data and AI roles
- ✓SME support zone tied to the French government's 'Osez l'IA' programme
- ✓Matchmaking platform for pre-booked one-to-one business meetings with the 200 exhibitors
What Makes This Unique
- ★The largest data and AI gathering in France and a rare place to compare EU AI Act, sovereignty and GDPR implementation notes with European peers rather than US-centric guidance
- ★Programme is deliberately structured for a whole buying committee - architecture, governance and business each get their own hall so a CDO, a risk lead and a business owner attend in parallel
- ★Village Advanced Computing puts HPC, quantum and semiconductor supply decisions in the same building as the application-layer decisions
- ★A EUR 40 Basic Pass buys the full 200-exhibitor floor, seven workshop and startup-pitch rooms and the matchmaking platform, which is unusually cheap access for an event of this scale
- ★2026 advisory board is made up of practising executives from AXA France, L'Oreal, SUEZ and Credit Agricole rather than vendor sponsors
Industries Represented
Event Scale
Pricing Details
Two paid tiers on the official registration page. Basic Pass EUR 40 excl. VAT: access to 200+ exhibitors on the exhibition floor, the seven workshop and startup-pitch rooms, and the matchmaking platform - but NOT the conference programme. Full Pass EUR 1,150 excl. VAT (reduced from EUR 1,250): adds the complete strategic conference programme across all three tracks, access to speakers and decision-makers, and premium areas with catering. Conference sessions are explicitly 'Full Pass & VIP only'. Press passes are free for accredited journalists and content creators, subject to approval.
Organizer
RX France (Reed Exhibitions)
bigdataparis.com/Frequently Asked
- When is Big Data & AI Paris 2026?
- Big Data & AI Paris 2026 takes place September 15–16, 2026 in Paris, France.
- Where is Big Data & AI Paris 2026 held?
- Big Data & AI Paris 2026 is held in Paris, France. The event format is in-person.
- How much does Big Data & AI Paris 2026 cost?
- Big Data & AI Paris 2026 is paid. Two paid tiers on the official registration page. Basic Pass EUR 40 excl. VAT: access to 200+ exhibitors on the exhibition floor, the seven workshop and startup-pitch rooms, and the matchmaking platform - but NOT the conference programme. Full Pass EUR 1,150 excl. VAT (reduced from EUR 1,250): adds the complete strategic conference programme across all three tracks, access to speakers and decision-makers, and premium areas with catering. Conference sessions are explicitly 'Full Pass & VIP only'. Press passes are free for accredited journalists and content creators, subject to approval.
- Who should attend Big Data & AI Paris 2026?
- Big Data & AI Paris 2026 is aimed at Chief Data Officers, CIOs and DSIs, CTOs, Heads of Data and data platform leaders, AI/ML engineering leads, Data governance and compliance leaders, Enterprise architects.
- What topics does Big Data & AI Paris 2026 cover?
- Big Data & AI Paris 2026 covers Modern data architecture, Data and AI governance, AI regulation and compliance, Agentic AI in the enterprise, AI system security, Scaling AI from pilot to production, MLOps and LLMOps, Advanced computing, HPC and quantum, Data and AI talent.
Sources
This page was written from 6 sources, 1 on domains other than bigdataparis.com.
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