Explore the Data Innovation Summit MEA 2026
Stages
The keynote presentations are the pillars of the entire conference and the most memorable presentations of the event. As opening plenary talks, they set the tone of the entire conference, tie all themes together and provide excitement on the presentations that are about to come. This year’s keynote list includes visionaries and leading expert names in Data, Analytics and AI.
Strategy stage bringing Chief AI Officers, AI program leaders, and compliance experts together to design and scale enterprise-wide AI adoption responsibly. This year’s focus is on AI operating models, regulatory readiness, and linking adoption directly to measurable business outcomes.
Strategy stage bringing CDOs, strategists, and governance leaders together to align data initiatives with business transformation. Key topics include federated data management, data lakehouse design, data governance, cross-organizational collaboration, data product development, and the strategic use of data fabrics, data mesh, and marketplaces, ensuring resilient and innovative data ecosystems.
Technical and strategy stage bringing BI leaders, analytics experts, and business decision makers together to turn data into actionable insights. Focus on augmented analytics, next-generation BI, predictive modeling, actionable dashboards, story-driven insights, decision automation, and maximizing the impact of enterprise analytics.
Technical stage bringing applied machine learning engineers, data scientists, AI practitioners, and enterprise innovators together to move from pilots to scaled deployments and embed AI agents into real business processes. This year’s focus is on deploying and scaling generative and agentic AI, multimodal model advancement, agentic workflows, industry case studies, and innovation in ML pipelines.
Browse the DIS2026MEA Schedule
