AI is reshaping how marketing organizations generate insights, support decisions, and estimate uncertain outcomes. Yet many organizations are still determining when AI outputs are reliable enough to inform consequential decisions, and what forms of human oversight are necessary to preserve accountability.

This conference will examine how firms are incorporating AI into analytics and forecasting workflows, including how they evaluate its outputs, define appropriate human oversight, and maintain transparency and credibility.
The focus is not on AI hype or automation for its own sake. Instead, we will look at how organizations are using AI to improve core analytics and forecasting activities, including measurement, modeling, experimentation, and scenario analysis.

We will also consider a broader view of forecasting, such as traditional sales projections, product adoption, market response, innovation success, and strategic resource allocation.

Join us September 16–17 at Cornell Tech on Roosevelt Island in New York City. Hosted by MSI, the ARF, and Cornell Tech, this event brings together leaders from academia and industry to share new research, exchange ideas, and spark discussion.

If you have any questions or require any assistance, please contact msievents@msi.org.