Case Study: a top US health insurer streamlines model migration with Tiger Analytics' MLOps playbook

Top US Health Insurer streamlines model migration with Tiger Analytics using a phased MLOps roadmap

The customer, a top US health insurer, sought to improve its data science team's efficiency by migrating statistical models from legacy tools to advanced MLOps practices. This was needed to better support critical functions like underwriting and care management. Tiger Analytics was engaged to help with this analytics modernization and model migration challenge.

Tiger Analytics provided the client with an MLOps assessment playbook, which included a phased execution roadmap, a proof-of-concept, an assessment framework, and a technology architecture blueprint. This solution delivered a clear path forward with resourcing and cost estimates, empowering the client with a comprehensive guide to enhance their team's efficiency and pave the way for scalable, enterprise-wide AI applications.