Johnson & Johnson

J&J's CIO cited AI helping manufacturing teams decide the right time and temperature to add solvent during production.

J&J's CIO said AI now handles much of the preparation of clinical trial reports for regulators, cutting a job that took hundreds of hours to minutes.

J&J uses AI to screen chemical and biologic candidates and says this has halved lead optimization time and sped up two compounds.

In a talk summarised by OMP, J&J described its next-generation supply planning tool, including an AI assistant that surfaces insights for planners in real time.

Partners: OMP

J&J analyses demand swings, supplier performance and other data with machine learning to anticipate events that could disrupt product supply.

The same report lists, as a high-value J&J AI use case, an internal chatbot for employees that answers questions on company policies and benefits.

Citing the Wall Street Journal, PYMNTS reports that one of J&J's highest-value AI uses is a generative AI copilot that coaches reps on engaging healthcare professionals.

Engagement.ai is J&J's global machine learning capability that guides when, where and how the company engages healthcare professionals.

J&J applies machine learning to large de-identified datasets to find trial sites with eligible patients and to make enrollment faster and more representative.