Case Study: Ping saves engineering time and accelerates insurance data extraction with Cake

Establishing ML-Based Leadership in Commercial Property Insurance

Ping, a data intelligence platform for the commercial property insurance industry, faced the immense challenge of processing vast amounts of unstructured data from documents like PDFs and emails. Manually cleaning this data was a slow, expensive, and error-prone multi-billion dollar problem for the sector. To build sophisticated machine learning products with a small team, Ping turned to Cake for its MLOps platform expertise.

By implementing Cake's managed open source solution, Ping built a seamless, end-to-end data extraction pipeline, including a system for PDF parsing. This allowed Cake to provide Ping with enterprise-grade security and a consolidated Kubernetes environment, streamlining their entire MLOps workflow. The results were significant: Ping saved the equivalent of 2-3 full-time engineers, accelerated its data collection several times over for quicker model development, and achieved substantial cost savings compared to managed cloud services.

Ping

Scott Stafford

Chief Enterprise Architect