Conference Description
Key Takeaways
- Five-day conference addressing responsible AI adoption, data governance, and enterprise data strategy
- Designed for Chief Data Officers, AI/ML engineers, data scientists, and digital transformation leaders
- Case studies from finance, healthcare, aviation, and government sectors
- Sponsors and participating organizations include Accenture, AWS, AstraZeneca, Bank of England, British Airways, Meta, and Rubrik
About the Event
The Data & AI Conference Europe 2026 is a five-day, in-person event held in London. The conference combines keynote presentations, hands-on workshops, case study sessions, and an exhibitor hall. An awards component recognizes achievements in the field.
Core Topics
The programme covers applied AI implementation, data and AI strategy development, modern data platforms and architecture, and governance frameworks. Sessions address data management practices, AI ethics, machine learning applications, and advanced analytics. Privacy considerations and responsible AI principles feature throughout the agenda.
Industry Representation
The conference draws participation from major organizations across multiple sectors. Financial services representation includes Bank of England and SMBC. Healthcare and life sciences are represented by AstraZeneca and Elsevier. Aviation contributors include British Airways, while government and public sector perspectives come from The Met Office. Technology and consulting firms such as Accenture, Amazon Web Services, Capgemini, and Meta also participate. DAMA UK provides data management community involvement.
Who Should Attend
The event targets data professionals responsible for organizational data strategy and AI implementation. This includes Chief Data Officers, Heads of Data, Data Governance Leads, AI and ML engineers, data scientists, and analytics managers. IT leaders and senior executives involved in digital transformation initiatives will find relevant content, particularly those working to align data capabilities with business objectives while managing governance and risk requirements.