Revamping Customer Segmentation with AI (feat. Snowflake, Dataiku, and Aptitive)

Targeting the right customer at the right time is one of the most efficient ways to optimize marketing campaigns - but 55% of marketers don’t feel they have sufficient customer data to implement effective personalization (Evergage, Inc.) While marketing teams increasingly adopt ML into their practices, their efforts often struggle due to multiple data sources, finding the right data, and building scalable machine learning models. Attend this joint webinar with Snowflake, Aptitive, and Dataiku to dive into the top challenges for tackling customer segmentation models, and how to solve them. We’ll showcase best practices to enrich your data, as well as how to prep, clean, create, and refine a machine model with Java UDFs for more effective customer targeting. Agenda: - 15 min: 4 Common Customer Segmentation Challenges that Can be Solved by Data Science with Ryan Lewis, Data Science Consultant at Aptitive - 20 min: Enriching Customer Data using the Snowflake Marketplace with Frank Pacione, Partner Engineer at Snowflake - 25 min: Demo: Building an AI-first Approach to Customer Segmentation with Peter Pham, Solutions Engineer at Dataiku