Reimagining Analytics Delivery for the AI Era

As AI and advanced analytics capabilities continue to expand, many organizations are looking for ways to deliver greater business impact while helping their teams develop broader skills and stronger collaboration practices.

Principal Financial has been experimenting with a model that brings business intelligence analysts, analytics engineers, and data scientists together to work as an integrated team on shared business challenges. While still early in the journey, they are already seeing changes in how work gets done, how knowledge is shared, and how individuals approach problem-solving.
This session would explore:

Why we chose to create cross-disciplinary teams.
How the model works in practice.
The role of T-shaped learning in developing more adaptable analytics professionals.
How collaboration between BI, analytics engineering, and data science influences solution design and delivery.
Examples of knowledge transfer and skill development occurring across disciplines.
Early lessons learned, successes, and challenges.
Observed changes in team behaviors, decision-making, and ownership.
How integrated teams may help organizations scale AI and advanced analytics capabilities more effectively rate with peers.