Explore the 2024 Stages

m1 stage

Business &
Data Analytics

Strategy and technical presentations on how companies can enhance their analytics capabilities, maintaining a balance between control and agility across their adaptable enterprise platforms suited for various user personas, analytics capabilities, and data use cases.

m2 stage

Applied and Generative AI

Technical presentations on deploying, running, and scaling both Applied and Generative AI models in an Enterprise. Focus on Model Ops, foundational models, AI/ML governance, and AI life-cycle management. These sessions will also, explore MLOps techniques to enhance delivery time, minimize defects, and boost the productivity of machine learning initiatives.

m3 stage

Data Management
& Engineering

Strategy and technical stage focusing on agile approaches to leveraging data as an enterprise asset and ways of collecting and distributing quality data to support a wide range of tools and frameworks in production, while protecting privacy, usage restrictions, and data integrity. Focus on Cloud Data Management, Data Governance, Data Mesh, Data Fabric, Data as a product, Data-Ops, Fast Data, Data Quality, and much more.

Browse the Data Innovation Summit MEA 2024 Schedule

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