Join NYAAPOR for an in-person workshop with Georg Wittenburg of Inspirient and Randal Ries of IBM.

AI is rapidly changing how survey data becomes charts, summaries, and strategic recommendations. But as automated analytics make it easier than ever to generate results, researchers now face a new challenge: not too little data, but too much.

Join NYAAPOR for an in-person workshop with Georg Wittenburg of Inspirient and Randal Ries of IBM on how insights professionals can navigate the growing abundance of AI-generated outputs. Designed for market researchers, quantitative researchers, and insights managers, this session will focus on the practical skills needed to separate meaningful findings from statistical noise.

Using real-world examples from opinion polling and brand health studies, the speakers will demonstrate how to evaluate results at scale, rank findings by significance, verify AI-generated summaries, and identify when automated tools may have missed a crucial trend or overstated a correlation.

As automation transforms the mechanics of analysis, the real value of research lies in curating meaning. This session will help researchers turn the tide of automated results into deeper, faster, and more reliable insights.