Conference Description
Key Takeaways
- Enterprise-focused conference addressing the transition from AI pilot projects to production-scale deployment
- Coverage spans generative AI, autonomous systems, AI governance, data engineering, and industrial automation
- Designed for C-level executives, data leaders, IT directors, and technical practitioners across finance, healthcare, manufacturing, and technology sectors
- Part of the TechEx Europe series with co-located events covering IoT, cybersecurity, and digital transformation
- Features keynotes, workshops, hackathons, and live demonstrations alongside extensive exhibition space
Introduction
AI & Big Data Expo Europe is a major European conference dedicated to accelerating enterprise adoption of artificial intelligence and data-driven technologies. Held in Amsterdam, the event targets senior technology leaders and practitioners seeking to operationalise AI initiatives within large organisations. With enterprise AI investment continuing to grow while many organisations struggle to move beyond experimental deployments, the conference addresses a critical inflection point in the technology’s maturation cycle.
About This Event
The two-day conference takes place at RAI Amsterdam and forms part of the broader TechEx Europe series, which encompasses co-located events covering IoT, cybersecurity, and digital transformation. This integrated format allows attendees to explore adjacent technology domains and understand how AI intersects with broader enterprise infrastructure modernisation efforts.
The programme combines keynote presentations and panel discussions with hands-on workshops, hackathons, and live product demonstrations. This blend of strategic and technical content reflects the event’s dual audience of executive decision-makers and engineering practitioners. An extensive exhibition floor features technology vendors, consultancies, and emerging startups demonstrating platforms and solutions across the AI and data ecosystem.
Primary Discussion Topics
The conference programme spans several interconnected domains within enterprise AI and data infrastructure. Generative AI features prominently, reflecting the technology’s rapid enterprise adoption and the operational questions surrounding its deployment at scale. Sessions examine how organisations are integrating large language models and generative systems into existing workflows while managing associated risks.
AI governance represents another significant theme, addressing the regulatory and ethical frameworks organisations must navigate as AI systems assume greater operational responsibility. This includes compliance considerations, model transparency, and accountability structures that enterprise deployments require.
The programme also covers physical AI applications, encompassing robotics and industrial automation where AI systems interact directly with manufacturing environments and physical processes. Data engineering and analytics sessions explore the foundational infrastructure that enables AI initiatives, including cloud platforms, data pipelines, and the architectural decisions that determine whether AI projects can scale beyond initial proofs of concept.
Industry Context
Enterprise AI adoption has reached a stage where initial enthusiasm has given way to harder questions about operational viability. Many organisations have successfully demonstrated AI capabilities in controlled environments but encounter significant obstacles when attempting production deployment. These challenges include integration with legacy systems, data quality issues, governance requirements, and the organisational change management that enterprise-scale AI demands.
The European context adds additional complexity, with evolving regulatory frameworks requiring organisations to consider compliance alongside technical implementation. This regulatory environment makes governance discussions particularly relevant for European enterprises and multinational organisations operating within the region.
Who Should Attend
The event serves professionals responsible for AI strategy, implementation, and oversight within enterprise environments. This includes chief data officers, AI and analytics leaders, digital transformation executives, IT directors, and innovation managers. Technical practitioners such as data engineers, machine learning engineers, and developers will find relevant content in the workshops and technical sessions.
Industry representation spans finance, healthcare, manufacturing, retail, energy, and technology sectors. The conference attracts both technology buyers evaluating platforms and solutions and vendors seeking to demonstrate capabilities to enterprise customers.
Exhibition and Technology Landscape
The exhibition floor features established enterprise technology providers alongside emerging specialists. IBM serves as a diamond sponsor, with additional participation from BMC, Dell, Nvidia, Snowflake, EY, OutSystems, CrateDB, Fivetran, Datadog, and Alteryx among others. This vendor mix spans AI and machine learning platforms, data infrastructure, cloud services, and analytics tools, representing the breadth of technologies required for enterprise AI initiatives.
A dedicated startup area provides emerging companies with visibility alongside established vendors, offering attendees exposure to innovative approaches that may not yet have achieved widespread enterprise adoption.