Case Study: top 10 global BioPharma company achieves faster physician engagement model deployment with C5i MLOps

Deployment of ML Models for Optimized Physician Engagement Recommendations Leveraging Data Science and MLOps to Optimize Physician Engagement in Pharma

A top 10 global biopharma company sought to streamline the deployment and maintenance of its machine learning models for optimizing physician engagement recommendations. These models, including propensity models for Next Best Action, were developed by various partners, and the customer needed an in-house MLOps framework to manage them efficiently. They engaged the vendor, C5i, to address this challenge.

C5i implemented an end-to-end MLOps solution using a tech stack that included Databricks and MLflow. Their approach automated data, modeling, and inference pipelines and created a comprehensive feature store, which drove significant efficiency gains. As a result, C5i helped the client reduce the monthly run time of its models by up to 60%, accelerate time-to-market for deployments, and ensure high performance through robust model monitoring.