Case Study: Segment.com keeps predictive models up to date with Aito.ai

Segment.com keeps predictive models up to date with 15 lines of Python using Aito.ai

The customer, Segment.com, faced the challenge of keeping a machine learning model operational and up-to-date with new data for their robotic process automation (RPA) work. Using traditional ML libraries required a complex and painful process of periodic retraining and redeployment, which was not ideal for their infrastructure.

The vendor, Aito.ai, implemented a solution using its predictive database, which automatically uses new data as training material for future predictions. By writing just 15 lines of Python code to create a daily batch transfer from BigQuery, Segment.com could seamlessly upload new data and purge old entries. This eliminated the need for constant manual retraining, saving significant pain and effort while ensuring their model evolved on the fly with the latest data.

Segment.com