SafeGraph creates and sells datasets for market analysis, competitive analysis, trade area analysis, and real estate site selection. They went through many iterations and learning to arrive at a solution that enables them to run reliable, high-speed data pipelines that drive their machine learning algorithms. Join us for this webinar and hear Ryan Fox Squire, Product and Data Science at SafeGraph, discuss how they have reduced their processing time down 95% from before, and optimized model training to process the full dataset in 30 minutes instead of 6 hours on a sample.

Attendees to this webinar will learn how:

• SafeGraph experimented with multiple methods to build machine learning pipelines, and the lessons learned at each step of the process
• Pipelines are created to build datasets that are sold for market analysis, competitive analysis, trade area analysis, and real estate site selection (and get a coupon to access $100 worth of data for free)
• Data is aggregated and machine learning applied to solve problems, and optimized to lower TCO

Speakers:

Brian Dirking, Databricks

Ryan Fox Squire, Product and Data Science at SafeGraph