Case Study: Arthur D. Little achieves faster model development and reduced clinical-trial risk with Domino Data Lab

Arthur D. Little Estimates Building New AI Capabilities Is Up to 1.5 Times Faster With Domino’s Enterprise MLOps Platform

A global mid-sized pharmaceutical company that develops medicines for rare diseases faced major COVID-19 disruptions to clinical trials — travel restrictions, supply-chain issues and rapidly shifting local outbreaks — and found its historical forecasting models insufficient, threatening delays, patient recruitment problems and budget overruns.

Arthur D. Little implemented a COVID-19 prediction dashboard on the Domino Enterprise MLOps platform that ingests 100+ data sources to guide site selection, recruitment and operations. The solution minimized trial risk, delivered up to 1.5x faster model development, boosted data scientist productivity by roughly 25–33%, and helped establish a scalable, data-driven “algorithmic backbone” across the organization.

Arthur D. Little

Michael Eiden

Global Head of AI and Machine Learning