While AI can be a tremendous asset, accelerating many of the routine tasks involved in data modeling, it cannot replace the strategic thinking and deep business understanding that a skilled data professional brings to the table. The art of interacting with stakeholders, understanding their unique needs, and interpreting those needs into a data model is something that, at least for now, AI cannot fully replicate. While the core concepts and patterns of data modeling have remained relatively stable over the years, the physical data platforms, formats, and volumes have changed dramatically. We now operate in a world where data is generated at an unprecedented scale and in a variety of formats, from structured relational data to unstructured text and multimedia. This shift has necessitated a corresponding evolution in how we approach data modeling. AI can—and should—be leveraged in your data modeling practice, it should be seen as a tool that enhances human capability, not a replacement for it.

In this session, Keith Belanger will discuss how to combine the speed and efficiency of AI with the insight and experience of seasoned data professionals - in a hybrid approach that will allow your organization to not only keep pace with the demands of modern data environments, but also to innovate and lead