Mr. Saj Kumar
Regional Business Leader, Manufacturing & Mobility Microsoft Asia
As Regional Business Leader for the Manufacturing & Mobility, Saj Kumar is responsible for defining and developing Microsoft’s business strategy for Discrete and Process Manufacturing, Automotive, Transportation and Mobility Industries in Asia, as well as driving the development and adoption of industry specific solutions for Microsoft’s customers in this segment. This includes companies in High-Tech, Automotive, Industrial Machinery, Aerospace, Chemicals, Airlines, Logistics and Rail sectors.
Saj Kumar brings a wealth of experience to Microsoft from his previous roles at SAP, Oracle and i2 Technologies, where he held various customer-facing and solutions management roles. He started the IoT platform and applications business in SAP Asia Pacific & Japan and was instrumental in driving awareness and critical customer engagements around IoT.
Saj Kumar is an industry veteran, starting his career over 34 years ago, working with simulation systems. He has years of direct experience designing and implementing supply chain solutions in the manufacturing industry and has a keen interest in applying constraint-based planning techniques to solve complex manufacturing problems. Saj has worked with multiple High-Tech, Consumer Goods and Industrial Machinery companies in Supply Chain, Manufacturing and Procurement projects. He is passionate about software applications and their role in solving real-world engineering problems.
He has an undergraduate degree in Chemical Engineering from India. He completed an Executive Program on Artificial Intelligence from MIT-Sloan.
Presentation Title
Intelligent Manufacturing and the Semiconductor Fab Metaverse
Presentation Abstract
The future of intelligent manufacturing is going beyond the connected and predictive to cognitive. Cognitive manufacturing operations in Semiconductor manufacturing requires analysing extremely large amounts of data across the fab. The ability to analyse this data, predict outcomes, and recommend the next course of action. This could be the next scheduled operation that the FOUP needs to move to or controlling the equipment to generate the highest yield. Cognitive services to predict outcomes require high performance computing at the edge to infer and provide recommendations in real time. Combine this real-world intelligence with the ability to run a fab virtually through the industrial metaverse is where the future of semiconductor manufacturing is headed. We will walk through examples, approaches and challenges in addressing real work manufacturing problems through the lens of an industrial metaverse.