Artificial intelligence, Machine Learning, and Big Data are transforming manufacturing operations in virtually every industry. This panel discussion will feature experts presenting case studies, ROI, and lessons learned.
Moderated by Cindy Tomei, CAE, VP Membership Growth & Engagement, Illinois Manufacturers’ Association
Industry 4.0 for Pulp-and-Paper Industry
Pulp-and-paper is a continuous manufacturing process. Any out-of-specification production is difficult to detect and prevent in real-time. This causes losses in the order of millions of dollars for a paper mill. Additionally, on average one paper break (the paper reel tearing during the
production) can occur every day on a machine. Typically breaks add about $6 to $8 million loss per year for a mill. These costs can be reduced by deploying an Industry 4.0 AI and predictive analytics system at the mill.
Chitta Ranjan, Director of Data Science • ProcessMiner
Creating Autonomous Chemical Plants of the Future
Chemical manufacturers who are facing increased pressure to optimize costs and gain higher yields, while simultaneously improving quality and reducing emissions, can now turn to AI-driven automation for key asset and process operations. Hear about the mainstream accessibility of artificial technology among chemical plants, and how such accessibility has the power to impact everything from process advisory to autonomous operations.
Prabal Acharyya, Head of Industrial AI • Petuum