Patrick Brett, Data Analyst, Merck

Joseph Reckamp, CEO/Founder, Reckamp Consulting

Learn how Merck is advancing global manufacturing excellence with OEE Plus and Seeq. The session covers Merck’s shift from a customized solution to a scalable platform combining real-time manufacturing and scheduling data, standardized visualizations, and dashboards tailored to different operations. A syringe-filling line case study shows how automated downtime classification and data-driven improvements reduced downtime by 80%, increased fill efficiency from 61% to 75%, and delivered approximately 10% additional capacity.

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.

Lindsey Wilcox, Principal Customer Success Manager, Seeq

Cameron Cox, Manufacturing Data Analyst, International Paper 

Matthew Kishe, Sr. Principal Engineer, Eli Lilly and Company

Kyler Miller, Automation Manager, Marathon Petroleum Corporation

Francis Ogunseye, Business Intelligence Developer, Intel

In this Customer Champion Panel, leaders from Eli Lilly, Intel, Marathon Pipeline, and International Paper share how their organizations are putting AI to work in practical ways, from improving reporting and investigations to accelerating analysis, optimizing operations, and scaling insights across industrial environments. The conversation explores the steps necessary to move from AI excitement to real-world impact, with honest discussion around trust, governance, human oversight, repeatability, and adoption across teams. Panelists also share practical advice for teams getting started: begin with a well-defined, high-value problem, keep solutions simple, involve domain experts, and build momentum through quick wins.

George Skaryak, CRO, Seeq