About This Event
Big Data & AI World London is the UK's premier event for data and artificial intelligence professionals, bringing together 17,000+ business leaders with 400+ solution providers at ExCeL London. Part of Tech Show London, the 2026 edition delivers cutting-edge insight on data literacy, governance, model transparency, responsible AI adoption, and workforce transformation.
The comprehensive conference programme features 700+ speakers sharing best practices across machine learning, natural language processing, computer vision, data engineering, and analytics. From enterprise AI strategy to hands-on technical workshops, the event caters to both business leaders and data practitioners.
The exhibition floor showcases the latest platforms, tools, and services from leading AI and data companies, covering cloud AI infrastructure, data management, business intelligence, and advanced analytics. Interactive demonstrations and solution showcases enable visitors to evaluate technologies and meet directly with vendors.
A free pass includes access to four co-located events: Cloud & AI Infrastructure, Cloud & Cyber Security Expo, DevOps Live, and Data Centre World, creating the UK's most comprehensive technology gathering.
Event Highlights
17,000+ business leaders,700+ expert speakers,400+ solution providers,AI and data conference programme,4 co-located tech shows,Free to attend
Why Attend
Big Data & AI World is essential for data and AI professionals. Discover 400+ solution providers, hear from 700+ speakers on machine learning, governance, and responsible AI, and network with 17,000+ technology leaders. Free registration includes access to five co-located technology shows at ExCeL London.
Why Exhibit
Exhibiting at Big Data & AI World places your AI and data solutions in front of 17,000+ technology leaders actively evaluating platforms and tools. The event delivers CIOs, CTOs, data scientists, and engineers from enterprise, government, and startup sectors.
Who Should Attend
Data scientists, AI/ML engineers, chief data officers, analytics directors, and enterprise technology leaders