A two-day annual conference and exhibition held each September at Paris Expo Porte de Versailles, gathering data engineers, architects, CIOs, business leaders, and AI practitioners for technical sessions, keynotes, case studies, and structured B2B meetings across the Big Data and AI field.
Big Data & AI Paris is an annual two-day event dedicated to data engineering, artificial intelligence, and machine learning, held at Paris Expo Porte de Versailles. Now in its fifth edition, the event combines a public exhibition with conference tracks, technical sessions, and structured business meetings, drawing a mixed audience of IT decision-makers, data scientists, architects, and business leaders. It is positioned as a generalist data and AI event with national reach in France and European visibility.
The fifth edition of Big Data & AI Paris takes place on 15 and 16 September 2026 at Paris Expo Porte de Versailles. No edition theme has been announced for 2026. The programme carries the label "Innovative Minds" and announces more than 300 speakers in total, though no individual speaker names or keynote confirmations had been published as of verification. The call for speakers remains open until 15 August 2026, meaning the programme is not yet finalised.
September is a dense month on the European tech and AI events calendar, with Paris Expo Porte de Versailles acting as a regular anchor for large-format professional gatherings. Big Data & AI Paris occupies the second week of September, ahead of the October and November cluster of financial and infrastructure events that dominate the EMEA private capital circuit. For data and AI professionals in France, the September timing aligns with the return from summer and the opening of Q4 budget conversations.
The number of stages has not been disclosed. Special satellite events, after-hours dinners, or co-located summits have not been documented for the 2026 edition. Specific session names and confirmed stage allocations are not yet publicly available.
Big Data & AI Paris operates a structured business access model, which is the organiser's term for a prioritised meeting programme layered on top of the open conference format. Participants can request pre-scheduled appointments before the event opens; according to available information, LP applications (in the context of the meeting programme, buyer-side applications) are reviewed by the organiser before confirmation. Demo sessions and roundtables supplement the one-to-one meeting volume, giving technology buyers and vendors additional touchpoints beyond corridor networking. No dedicated networking application has been disclosed for the 2026 edition.
The programme is organised around three declared tracks:
Speaker categories identified in secondary sources include authors, parliamentarians, CDOs, university professors, and ministry officials, without individual names confirmed. The call for speakers closes 15 August 2026.
The event is structured for practitioners and decision-makers at the intersection of data infrastructure and business transformation. Data engineers and architects benefit from the technical track content. CDOs and CIOs use the structured meeting programme for vendor evaluation. The exhibition floor suits buyers in active procurement cycles. The breadth of the programme, spanning technical, strategic, and regulatory content, means that attendees with a defined objective (a procurement decision, a benchmark, a speaker platform) tend to extract more value than generalist visitors.
Five profiles for whom the event is a poor fit:
Both tracks coexist. The Modern Data Architecture track targets engineers and architects with infrastructure-level content. The Data & AI in Business track addresses business leaders and transformation managers. The Governance & Regulation track serves compliance officers, legal teams, and public-sector professionals. Attendees self-select by track; the event does not separate technical and business audiences into different access tiers.
"Innovative Minds" is the label applied to the speaker programme for the 2026 edition of Big Data & AI Paris. The organiser has announced more than 300 speakers under this banner. The speaker categories described in secondary sources include authors, parliamentarians, CDOs, university professors, and public officials. No individual names have been confirmed publicly as of 11 May 2026, and the call for speakers remains open until 15 August 2026.
Paris Expo Porte de Versailles is one of the largest exhibition and convention complexes in Europe, located in the 15th arrondissement of Paris near the Boulevard Périphérique. The site hosts trade fairs, consumer shows, and professional congresses throughout the year, with multiple pavilions capable of accommodating exhibitions of tens of thousands of square metres alongside conference halls of varying capacity. For Big Data & AI Paris, the venue supports simultaneous conference tracks, a large exhibition floor, and meeting zones within a single connected site. The Balard and Porte de Versailles metro stations (line 12) provide direct access from central Paris, and the site is accessible by car via the Périphérique.
The organiser of Big Data & AI Paris has not been named in publicly available sources as of verification. The enriched description associated with the event references Reed Expositions as a connected entity, but this attribution has not been confirmed through the official event website or a named organiser declaration. The event website is hosted at bigdataparis.com, which is registered in France. The organiser is classified as a commercial publisher type. No founding year, portfolio size, or organiser city has been confirmed. Until the organiser formally identifies itself in public-facing materials, this field remains unverified.
Big Data & AI Paris is France's largest-format annual gathering for data and AI professionals, but its open-access model and still-forming 2026 programme make it better suited to structured vendor evaluation and broad technical benchmarking than to the closed, high-density peer exchange that senior executives might seek elsewhere on the European circuit.
Big Data & AI Paris operates an open access model: registration is available publicly through the official website at bigdataparis.com. An Early Bird pricing tier is mentioned on the site, but the specific price is not publicly disclosed as of verification. Standard delegate and sponsor rates for the 2026 edition are similarly not disclosed. The structured business access meeting programme involves an application reviewed by the organiser before confirmation; the conditions and any associated costs for this tier have not been published. Prospective attendees should consult the official website directly for current pricing.
The event operates an open access model. Registration is available through the official website without a prior invitation or qualification process. The structured business access meeting programme involves an organiser review of applications, but the main conference and exhibition are publicly accessible.
Big Data & AI Paris 2026 takes place at Paris Expo Porte de Versailles in Paris, France. The specific pavilion or hall within the complex has not been disclosed. The address has been confirmed against the official event website at bigdataparis.com.
The structured business access programme involves pre-scheduling of prioritised meetings, and applications are reviewed by the organiser. No specific deadline for meeting programme applications has been published for the 2026 edition. Early registration is mentioned in the context of an Early Bird pricing tier, suggesting that registration windows open well ahead of the September dates.
As of 11 May 2026, no speaker names have been confirmed on the official website. The organiser has announced more than 300 speakers for the "Innovative Minds" programme, but the call for speakers remains open until 15 August 2026. The programme content, specific session titles, and stage allocation are not yet publicly available.
| Official website | https://www.bigdataparis.com/ |
| Register | https://www.bigdataparis.com/ |
| Speakers page | https://www.bigdataparis.com/fr-fr/programme/les-speakers.html |
| Programme (not yet published) | not disclosed |