Data integration is a core component of D&A, and it is continuously transforming. This session provides guidance on how best practices for data engineering are evolving to improve data integration and support AI initiatives. It also examines the trends guiding data integration technology, including how data integration tools are leveraging AI features.

This session covers practical steps, common mistakes to avoid, and key factors for launching data and maintaining a data catalog. Discover how to assess your organization’s metadata requirements, define clear goals, and apply best practices for a smooth implementation and ongoing success.

A heightened need for trust in our data, its lineage, and use, has propelled governance of master data, in particular, from a nice-to-have to a critical foundational pillar of D&A and AI initiatives. This session covers key considerations across people, process and technology in running a successful MDM program that delivers tangible business value and sustainable governance.