Data Innovation Summit MEA
The Data Innovation Summit MEA brings together the most innovative minds in data, analytics, and artificial intelligence from across the Middle East and Africa region. This fifth edition attracts enterprise practitioners, technology providers, startup innovators, and academics who work with applied data innovation, data science, machine learning, generative AI, and data management. The event has grown into a worldwide movement with regional editions spanning multiple continents.
Attendees gain access to four main stages covering different aspects of data-driven business transformation. The keynote stage sets the tone with opening and closing presentations, while specialized stages focus on AI strategy and governance, data strategy and governance, analytics and decision intelligence, and machine learning with generative and agentic AI. Each stage addresses both business and technical perspectives on data innovation.
Over 50 speakers from MEA and international organizations share practical strategies and proven case studies. These industry leaders dive directly into key learning points without fluff, presenting exclusive insights from some of the world’s most advanced data-driven organizations. The speaker lineup includes executives from major companies like Swiss Re, Saab Group, Mastercard, PepsiCo, Adidas, and many others.
The summit accommodates up to 1,000 delegates with 40+ sessions spread across two days of programming. Beyond the main stages, participants can attend exclusive TIP demo sessions, workshop rooms, and networking activities in the exhibition area. The event offers different access levels, with full access passes providing complete program access including keynotes, expert sessions, and exclusive industry sessions.
The event addresses all elements of AI-ready business including data, people, processes, and technology. Attendees explore how to accelerate AI-driven transformation throughout companies, industries, and public organizations. Topics range from enhancing customer experience and improving operational processes to enabling sustainability, reinventing business models, and developing data-driven products and services.