Optimizing Pharmaceutical Manufacturing with AI-Enabled Analytics – Teva Pharmaceutical Industries Ltd.

Yanhua Qiu, Associate Director, MS&T, Teva Pharmaceutical Industries Ltd.

Maichong Xie, MS&T Specialist, Teva Pharmaceutical Industries Ltd.

Learn how Teva’s process engineers demonstrate how Seeq’s AI-enabled analytics can transform pharmaceutical manufacturing troubleshooting by combining human expertise with AI-driven speed and scale. Using a tablet pan-coating deviation as a real-world example, the team shows how natural-language prompts and action agents organize equipment data, compare a deviation batch with a golden batch, overlay key process parameters, and help distinguish root causes from operator responses and other contributing factors. The session highlights how this human-in-the-loop approach can turn complex, fragmented investigations into actionable insights—reducing troubleshooting time from weeks to approximately two hours, or by 98% in the example shown—while supporting more proactive process optimization, knowledge sharing, and compliant product release.