Explore the 2024 Stages
m1 stage
Business &
Data Analytics
Stage
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
Stage
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
Stage
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.
M1 Stage
Business &
Data Analytics Stage
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 Stage
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 Stage
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
Pick a day and stage and get the info you need