Low Dimensional Learning from High Dimensional Data for System Modeling and Improvement
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Watch a 57-minute seminar from Georgia Tech Research exploring the transformative role of AI in manufacturing operations, with a focus on practical applications and measurable outcomes. Join Karim Pourak, CEO of ProcessMiner, and Kamran Paynabar, Chief Science Officer and Professor at Georgia Tech, as they delve into how low-dimensional learning techniques can be applied to high-dimensional data for improved system modeling. Learn about real-world case studies across multiple industries that demonstrate the successful implementation of AI-driven solutions, resulting in enhanced efficiency, quality, agility, and sustainability while reducing production costs. Discover how the integration of AI, Industrial Internet of Things (IIoT), Digital Twin technology, and big data analytics enables manufacturers to minimize waste, enhance product quality, and achieve operational excellence. Gain valuable insights into the concrete return on investment (ROI) that AI technologies deliver in modern manufacturing environments.
Syllabus
GTMI Seminar—Low Dimensional Learning from High Dimensional Data for System Modeling and Improvement
Taught by
Georgia Tech Research