Industrial Big Data Analytics, Machine Learning, and Cyber Physical Systems are changing the way we design product and service systems. It is clear that as more sensors and smart analytics software are integrated in industrial products and manufacturing systems, predictive technologies can further learn and autonomously optimize productivity and performance.
Professor Jay Lee, from the internationally recognized IMS center on predictive analytics and industrial big data modeling for life cycle performance of industrial systems will present recent advances of industrial AI and big data analytics for industrial applications.
The presentation of Professor Lee will address the trends of predictive big data analytics, AI, and Cyber-Physical System (CPS) for future smart industrial transformation. He will demonstrate advanced predictive analytics technologies for self-aware industrial systems and Dominant Innovation methodology through case studies.
Attendance to this unique event is free, but registration is mandatory through the following subscription form.