Achalesh is the VP for Artificial Intelligence and Digital Transformation at GE Digital. In this role, he has been tasked to drive digital innovation and transformation across GE Vernova business units and GE Digital by defining and executing Industrial AI strategy and use cases. Achalesh is leading strategy and initiatives in GE Digital Innovation Center to help drive innovation in the energy transition area. He is driving several smart grid initiatives to deliever a reliable, resilient, affordable clean energy grid. In addition, Achalesh is working closely with GE Vernova businesses to drive critical strategic LEAN + Digital technology programs to improve service productivity and reduce cost. The goal is to drive cost productivity and new product capabilities by injecting AI, Digital Twin technologies, and Lean methods in many business processes and GE products to increase speed, reduce waste, improve operational efficiencies, and enable exponential growth.
Prior to this role, Achalesh was the Executive Technology Director for Artificial Intelligence at GE Research, overseeing six AI research labs across the globe. Achalesh has been with GE for 19 years in various leadership and technologist roles across GE businesses. He has extensive research and development experience in Machine Learning, Prognostics Health Management (PHM), AI-Assisted Inspection, Digital Twin, Condition based maintenance (CBM), Monitoring & Diagnostics, data mining, advanced sensing, and controls. Before joining GE, Achalesh worked for eight years in the Power Generation Industry with various multinational utilities all across the globe. Achalesh has filed over 50 patents, including 25+ granted patents and, has 20+ GE internal and external publications. Achalesh holds an M.S. degree in Engineering from Purdue University and a Post Graduate Diploma in Power Plant Engineering from National Power Training Institute in India.
Climate change is driving a global energy transition towards cleaner, more sustainable energy sources. As part of this transition, there is increasing interest in using artificial intelligence (AI) to accelerate the deployment and optimization of renewable energy technologies, improve energy efficiency, reduce plant emissions, and use AI for extreme weather resilience. Integrating AI into the energy system can accelerate the transition to a low-carbon future but we must make AI systems trustworthy. This talk will provide various Industrial AI use case examples in Power Generation and Electric Power Grid industries. We will also briefly cover Humble AI research direction to make AI trustworthy for industrial applications.
Presentation slides by Achalesh Pandey (pdf)
Video recording of the lecture. Answers to the audience questions are personal comments/opinions of the speaker.