Session

Wunderman Thompson uses IBM AutoAI to Identify New Prospects and Gain Deeper Human Insight at Scale

Data and AI

A global advertising giant Wunderman Thompson has partnered with IBM to create a new machine learning practice for better discovery of human insights and increased ROI for their clients. It has built a scalable, efficient ML pipeline to drive high volume predictions with AutoAI and open source tools on Watson Studio. The company and its clients now spend more time in discovery and hypothesis creation and less time in mundane tasks. Join us to learn how Wunderman Thompson enables their agency clients to spot their best customers at an unprecedented scale. As part of this session, IBM will provide its portfolio update, discuss its approach to ModelOps and preview federated learning for a common AI/ML framework from edge to hybrid clouds.

Speakers

Wendy Wang

Data Scientist, IBM

David Bartram-Shaw

Head of Data Science, WUNDERMAN THOMPSON DATA

Greg Filla

Offering Manager, IBM

Yin Chen

Offering Manager, Watson Studio AutoAI & Deep Learning, IBM