Conference Description
Key Takeaways
- Two-day summit covering applied data innovation, machine learning, generative AI, and data governance for enterprise practitioners
- Designed for Chief Data Officers, AI leaders, data scientists, and digital transformation executives across financial services, healthcare, retail, manufacturing, and public sector
- Features over 50 speakers across four main stages, two workshop rooms, and more than 30 TIP sessions
- Addresses scaling AI from pilots to production, regulatory compliance, and building resilient data ecosystems
- Technology partners include Fivetran, ClickHouse, Snowflake, Dremio, Profisee, Denodo, Collibra, and Ataccama
About the Event
The Data Innovation Summit MEA convenes enterprise practitioners, technology providers, start-up innovators, and academics in Dubai to address AI-driven transformation across industries and public organizations. The two-day programme at JW Marriott Hotel Marina combines keynote sessions, workshops, demonstration sessions, and an exhibition area. A VIP executive room provides additional networking opportunities for senior attendees.
Technical and Strategic Topics
Sessions span both technical implementation and strategic leadership. Core subject areas include data science, big data, machine learning, and generative and agentic AI. The programme also covers data management disciplines such as engineering, architecture, databases, and DevOps.
Strategic tracks address AI strategy and governance, data strategy and governance, and decision intelligence. Attendees can explore augmented analytics, predictive modelling, business intelligence, and decision automation. Architectural approaches such as data fabrics, data mesh, and data marketplaces feature alongside discussions of regulatory readiness, compliance, and responsible AI adoption.
Business Challenges Addressed
The summit focuses on practical case studies demonstrating how organizations align data initiatives with business transformation. Sessions address common obstacles including scaling AI and machine learning projects from pilot phases to production environments, navigating regulatory and compliance requirements, and converting data assets into actionable business insights.
Content is structured around outcomes such as enhancing customer experience, improving operational efficiency, enabling sustainability initiatives, reinventing business models, and developing data-driven products and services.
Who Should Attend
The event targets senior data, analytics, and AI professionals responsible for enterprise strategy and implementation. Relevant roles include Chief Data Officers, Chief AI Officers, Heads of Data, Analytics, and AI, as well as data scientists, machine learning engineers, business intelligence leaders, and data engineers. Digital transformation leaders and compliance and governance experts will find applicable content. The programme serves organizations in financial services, healthcare, retail, technology, public sector, and manufacturing seeking to leverage data and AI for business transformation.