
Three primary clinical data management architectures--Clinical Data Warehouses, Clinical Data Lakes, and Clinical Data Lakehouses--are the newest technologies aiming to leverage AI for predictive analytics.

Partha Anbil is at the intersection of the Life Sciences industry and Management Consulting. He has over 30+ years of experience in Life Sciences. He is also a Life Sciences industry advisor at MIT, his alma mater. He held senior leadership roles at WNS, IBM, Booz & Company, Symphony, IQVIA, KPMG Consulting, and PWC. Mr. Anbil has consulted with and counseled Health and Life Sciences clients on structuring solutions to address strategic, operational, and organizational challenges. He is a diplomat/fellow at MIT CSAIL. He is a healthcare expert member of the World Economic Forum (WEF). He was a member of the IBM Industry Academy, a very selective group of professionals inducted into the academy by invitation only, the highest honor at IBM.

Three primary clinical data management architectures--Clinical Data Warehouses, Clinical Data Lakes, and Clinical Data Lakehouses--are the newest technologies aiming to leverage AI for predictive analytics.

Hybrid cloud architecture enables pharma organizations to balance public cloud scalability with private infrastructure control, accelerating drug development while maintaining regulatory compliance.

Novartis, BMS, and other companies are reducing complexity by thinning out product portfolios. Reducing complexity can reduce waste and improve responsiveness, but it must be done right.