• The Role of Analytics in Modern Manufacturing
•  Key Strategies for Data Integration and Analysis

• Increased operational efficiency and throughput
• Enhanced quality control and defect detection
• Predictive insights for better decision-making
• Customization and personalization of manufacturing processes
• Improving Operational Efficiency and Product Quality

This session is for Engineers interested in AI and Data Analytics in Manufacturing.

Industry: Across industry - Manufacturing, Automotive, Aerodef, Energy Production, Semiconductor

This programme will be conducted by Mr. Peeyush Pankaj AI Application Engineer Principal Application Engineer, MathWorks India.

Mr. Peeyush Pankaj is a principal application engineer at MathWorks, where he has been promoting MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twin, enterprise integration and big data. Peeyush has over 13 years of industry experience with a strong background in Aviation. Prior to joining MathWorks, he has extensively worked on aircraft engine designs, testing and certification. He has filed 25 patents on Advanced Jet Engine technologies and Prognostic Health Monitoring of aircraft engines. Peeyush holds a master's degree in advanced mechanical engineering from the University of Sussex, UK.