Data is now a living organism driving company success. To thrive, businesses must embrace AI-powered, automated data management across five critical pillars.

Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...

Data lifecycle management covers the processes, policies, and procedures to ensure data is effectively managed through its lifecycle. It describes how data flows through the enterprise and beyond.

Data governance defines the policies data management acts on. Learn more about data governance and data management and how they work together to develop business insights. Image: Gorodenkoff/Adobe ...

The AI For Data Management Paradox. ... Data products continued their march to the top of the Gartner hype cycle in 2024, which means there’s only one direction they can go this year: down.

Deep dive into the basis of data risk including data architecture, ... Join us to enhance your data management expertise and fortify your organisation against emerging challenges. Learning objectives.