Conference Description
Key Takeaways
- France’s principal enterprise conference dedicated to data strategy, artificial intelligence and analytics
- Designed for Chief Data Officers, CTOs, data platform managers and AI/ML leads from large organisations
- Central themes include industrialising AI, data governance and scaling data-driven transformation
- Programme features conferences, technical workshops, startup pitches and structured business networking
- Advisory board includes representatives from AXA France, L’Oréal, SUEZ, Crédit Agricole and Université Paris Saclay
- Held in person at Paris Expo Porte de Versailles
Introduction
Big Data & AI Paris stands as France’s foremost gathering for enterprise leaders navigating the complexities of data strategy and artificial intelligence deployment. The 2026 edition brings together Chief Data Officers, technology executives and governance professionals to examine how large organisations can move beyond experimental AI projects toward systematic, business-critical implementations. At a time when European enterprises face mounting pressure to demonstrate tangible returns on data investments while complying with evolving regulatory frameworks, the event provides a forum for practitioners to share operational experiences and evaluate emerging solutions.
About Big Data & AI Paris 2026
Now established as the reference event for the French data community, Big Data & AI Paris combines a large-scale exhibition with a comprehensive conference programme spanning technical implementation, governance frameworks and business applications. The 2026 edition has been restructured to prioritise engagement with enterprise decision-makers, reflecting a broader industry shift toward quality over quantity in professional events. Organisers have indicated that the programme will emphasise structured matchmaking and curated networking opportunities designed to facilitate substantive business discussions rather than casual exchanges.
The event takes place at Paris Expo Porte de Versailles, one of Europe’s largest exhibition venues, providing space for an extensive exhibition floor alongside multiple conference tracks and workshop areas. This format allows attendees to move between strategic presentations, hands-on technical sessions and direct engagement with solution providers throughout the event.
Industrialising AI and Data-Driven Transformation
The central theme running through Big Data & AI Paris 2026 concerns the industrialisation of artificial intelligence—the transition from isolated proof-of-concept projects to enterprise-wide deployments that deliver measurable business outcomes. This challenge has become increasingly urgent as organisations that invested heavily in AI experimentation during previous years now face pressure to demonstrate sustainable value creation.
Industrialising AI requires more than technical capability. It demands robust data platforms capable of serving multiple use cases, governance structures that ensure data quality and regulatory compliance, and organisational models that embed AI capabilities within business processes. The conference programme addresses this full spectrum, examining how foundational data infrastructure connects to machine learning operations and ultimately to business applications.
For many enterprises, the bottleneck lies not in algorithm development but in the underlying data architecture. Legacy systems, fragmented data sources and inconsistent quality standards create friction that prevents AI initiatives from scaling. Sessions at Big Data & AI Paris explore how organisations are modernising their data platforms to support the demands of production AI workloads while maintaining the flexibility to adapt as requirements evolve.
Data Governance in an Evolving Regulatory Environment
Governance has moved from a compliance checkbox to a strategic enabler for organisations seeking to maximise the value of their data assets. European enterprises operate within an increasingly complex regulatory landscape that includes data protection requirements, sector-specific rules and emerging AI-specific legislation. Effective governance frameworks must balance these compliance obligations against the need for agility in deploying new data products and AI capabilities.
Big Data & AI Paris dedicates significant programme content to governance challenges, recognising that technical and business leaders must work together to establish policies that protect the organisation while enabling innovation. Topics span data cataloguing and lineage, access controls, quality management and the documentation requirements that accompany AI model deployment in regulated industries.
The Enterprise Data and AI Ecosystem
The exhibition floor at Big Data & AI Paris brings together established international technology providers, dynamic scale-ups and early-stage startups, offering attendees visibility across the full solution landscape. This diversity reflects the maturation of the enterprise data market, where organisations increasingly assemble capabilities from multiple specialised vendors rather than relying on monolithic platforms.
The event’s advisory board draws from organisations that represent significant data and AI initiatives within the French market. Representatives from AXA France, L’Oréal, SUEZ, Crédit Agricole, HUB France IA and Université Paris Saclay contribute to shaping the programme, ensuring that content addresses the practical concerns of practitioners working at scale. This advisory structure helps bridge the gap between vendor capabilities and enterprise requirements, grounding discussions in operational reality.
Startup pitches provide a window into emerging technologies and approaches that may influence enterprise strategy in coming years. For established organisations, these sessions offer early visibility into innovations that could address current limitations or create new opportunities. For the startups themselves, the format provides access to potential customers and partners within a concentrated timeframe.
Who Should Attend
Big Data & AI Paris is designed primarily for senior technology and data leaders within large organisations. Chief Data Officers and Heads of Data will find strategic content addressing organisational models, governance frameworks and the business case for data investments. Chief Technology Officers and data platform managers can explore technical architectures, infrastructure decisions and operational practices for managing data at scale.
AI and machine learning leads benefit from sessions examining the practicalities of moving models from development into production, including MLOps practices, monitoring and the integration of AI capabilities within existing business systems. Governance professionals can engage with peers facing similar challenges around compliance, risk management and policy development.
The event also serves professionals from scale-ups and startups operating within the data and AI space, whether as solution providers seeking enterprise customers or as growing organisations developing their own data capabilities. The structured networking format facilitates connections that might otherwise require months of outreach to establish.
Practical Value for Enterprise Teams
Beyond the formal programme, Big Data & AI Paris offers enterprise teams an efficient mechanism for market intelligence gathering. Evaluating multiple vendors, understanding competitive positioning and identifying potential partners typically requires significant time investment. The exhibition format compresses this process, allowing teams to conduct preliminary assessments and establish relationships that can be developed following the event.
The emphasis on real-world experience sharing distinguishes Big Data & AI Paris from purely commercial exhibitions. Conference sessions feature practitioners discussing implementations within their own organisations, including the obstacles encountered and the approaches that proved effective. This peer perspective provides context that vendor presentations alone cannot offer, helping attendees calibrate expectations and identify relevant lessons for their own initiatives.
For organisations at earlier stages of their data and AI journey, the event provides exposure to mature practices and established patterns that can accelerate progress. For those with advanced capabilities, it offers opportunities to benchmark against peers and identify emerging approaches that could enhance existing operations.