Case Study: Drive Ride Buddy streamlines data and ML operations with Trigma's MLOps framework on Google Cloud

Drive Ride Buddy streamlines MLOps on Google Cloud with Trigma in 19 months

The customer, Drive Ride Buddy, faced challenges in its data and machine learning operations, including complexity from diverse programming languages and performance issues due to memory constraints for online inference. To address this, they partnered with vendor Trigma to implement an MLOps framework on Google Cloud's Vertex AI.

Trigma's solution involved a two-phased approach of discovery and pilot implementation, which included developing a custom ML Ops pipeline for churn prediction. This resulted in an enhanced capability to handle complex data, overcame memory constraints, and provided predictive insights for proactive customer retention strategies, modernizing the client's customer interactions.

Drive Ride Buddy