Conference Description
Key Takeaways
- Two-day conference in London exploring enterprise applications of data science and artificial intelligence across finance, healthcare, manufacturing, retail, and government sectors.
- Addresses responsible AI adoption, governance frameworks, and ethical deployment alongside technical implementation.
- Targets C-level executives, data scientists, engineers, cybersecurity professionals, researchers, and students from Fortune 500 companies, startups, government agencies, and academic institutions.
- Features keynotes, panels, track presentations, workshops, and an exhibit hall designed for both technical and executive audiences.
About the Event
The 4th Data Science & AI Summit takes place October 1 to 2, 2026, in London as part of Data Science Week 2026. The conference brings together researchers, industry practitioners, policymakers, and students to examine how organisations are applying machine learning, generative AI, and advanced analytics to business and societal challenges. Sessions span keynote presentations, hands-on workshops, panel discussions, and networking opportunities.
Core Topics and Technologies
The programme covers machine learning, generative AI, data analytics, automation, and cloud platforms. A significant portion of the agenda focuses on responsible AI, examining governance structures, ethical considerations, and secure deployment practices. Sessions explore how these technologies integrate with broader digital transformation initiatives and cybersecurity strategies, addressing the practical challenges organisations face when embedding AI into existing operations and decision-making processes.
Industry Applications
The summit examines AI and data science applications across multiple sectors, including finance, healthcare, IT, manufacturing, retail, government, and education. Content addresses how organisations in these industries are using data-driven approaches to transform operations, with attention to sector-specific regulatory requirements and implementation challenges. Past speakers and participating organisations have included representatives from Uber, Mastercard, AWS, Capgemini, PwC, Aramco, Booking.com, NASA, EY, Allianz, Procter & Gamble, and the European Parliament.
Governance and Responsible AI
A recurring theme throughout the event is responsible AI adoption. Sessions address governance frameworks, ethical innovation, and the regulatory landscape affecting AI deployment. For cybersecurity professionals, this includes examination of secure AI implementation and the intersection of AI governance with data protection requirements.
Who Should Attend
The event is designed for C-level executives, data scientists, engineers, AI specialists, innovation leaders, and cybersecurity professionals responsible for AI strategy or implementation. Operations, legal, and marketing professionals involved in data-driven initiatives will find relevant content, as will researchers and students exploring career paths in data science. Attendees typically represent Fortune 500 companies, startups, government agencies, research institutions, universities, investors, and non-profit organisations.