Bridg is a data and audience platform that powers retail media, and solves a longstanding challenge – identifying and targeting in-store customers that aren’t part of loyalty or rewards programs. Bridg clients can leverage credit and debit cards to expand their loyalty database, launch targeting measures previously reserved for program members, optimize media spend and accelerate top-line growth.
Snowpark, Snowflake’s Python developer framework, is integral to Bridg and has enabled the data science team to utilize a single closed looped architecture, which has greatly accelerated product development. This package allows Bridg to access data directly, train models and execute actions all on a Snowflake cluster—making the process fully contained, automated and efficient.
Join this session to learn about how Bridg is using Snowflake to:
- Prepare large datasets with billions of rows of data for customer insights, analytics, and machine learning
- Build and train segmentation models in Python using popular open-source packages
- Streamline data architecture on a single Snowflake platform
Product Marketing Manager, Data Science
Head of Analytics
Senior Director of Product Management
Lead Data Scientist