• CERAWeek Executive Education Breakfast 
• What is AI? Human vs Machine Intelligence  
• Break 
• How It Works: Neural Networks and Attention 
• Break 
• Alignment and Post-Training: Making AI Safe and Useful 
• CERAWeek Executive Education Lunch 
• Prompting and Context: Steering Generative Models 
• Break 
• Panel & Synthesis – From Mechanism to Management 

• CERAWeek Executive Education Breakfast  
• AI in the Energy Value Chain: From Wells to Watts 
• Break 
• Generative and Agentic AI in Energy Systems 
• Break 
• Lunch Break 
• AI for Optimization, Emissions, and Energy Efficiency 
• Break 
• Securing and Governing the Intelligent Energy Infrastructure 
• Break 
• Designing Ambidextrous Energy Organizations Using AI, Data, and Process Mining

John Williams holds a BA in Physics from Oxford University, a MS in Physics from UCLA, and a Ph.D. in Numerical Methods from University of Wales, Swansea. He was co-inventor of the "Discrete Element Method" for analyzing discontinous materials such as powders, sand and rocks. His research focuses on the application of Exascale computation to problems in cyber-physical systems, security and energy. His work on fault-tolerant computing using container migration won the IEEE, High Performance Extreme Computing Conference award for Best Innovation in 2019. He is director of MIT’s Geospatial Data Center and from 2006-2012, was Director of the MIT Auto-ID Laboratory, where the Internet of Things was invented. He is author or co-author of over 250 journal and conference papers, as well as the books on Mechanics and RFID Technology. He contributed to the 2013 report for the UK Office for Science Foresight Project- The Future of Manufacturing. Alongside Bill Gates and Larry Ellison, he was named as one of the 50 most powerful people in Computer Networks. He consults to companies including Accenture, Schlumberger, Shell, Total, Exxon, SAP Research, Microsoft Research, Kajima Corp, US Lincoln Laboratory, Sandia National Laboratories, US Intelligence Advanced Research Projects Activity, Motorola, Phillip-Morris Inc., Ford Motor Company, Exxon-Mobil, Shell, Total, and ARAMCO. His international collaborations include Oxford and Cambridge Universities, HKUST, KACST, Alfaisal University, PolyU Hong Kong, Imperial College of Science and Technology UK, Malaysia University of Science and Technology (MUST), and Masdar Institute of Science and Technology Abu Dhabi. He organized the first Cyber-Physical Security Conference in the UK (2011) and along with Dr. Sanchez, he runs the MIT Applied Cyber Security Professional Education summer course. At MIT he teaches courses Architecting Software Systems (MIT 1.125) and Engineering Computation and Data Science (MIT 1.00/1.001). Theoretical Basis of the Discrete Element Method

In data engineering and data science, early work included simulation of Ford's global network, analysis of SAP smart grid billing system. For Altria, he analyzed the performance of item level tagging and also their implementation of an anti-counterfeiting system using the Electronic Product Code (EPC)

In password security, Dr. Williams was PI that developed the algorithms for a negative password authentication system for the Intelligence Advanced Research Projects Activity (IARPA) agency.

Dr. Williams advises companies in the Americas, Europe, Middle East, and Asia.

Dr. Sanchez holds a Ph.D. from the Massachusetts Institute of Technology (MIT) and serves as the Executive Director of MIT's Geospatial Data Center (GDC). His expertise encompasses the Internet of Things (IoT), Big Data, AI, Generative AI, Cybersecurity, and Digital Innovation. He has taught graduate courses in Data Science, Cybersecurity, and Innovation, focusing on large-scale computation for the past eight years.

In IoT, Dr. Sanchez led the global network architecture at MIT, addressing large-scale computation challenges. His work highlights IoT's vast scale, surpassing the combined total of the world's 2 billion computers, 7 billion phones, and 8 billion people. He also directed simulations of U.S. critical infrastructure with the National Infrastructure Simulation and Analysis Center (NISAC).

Dr. Sanchez's early data science work involved supply chain information engineering, analytics, simulation, and visualization with companies such as Wal-Mart, Kraft, and SAP. He extended this work to global anti-counterfeiting efforts with Johnson & Johnson, SAP, and Altria, developing a track-and-trace system using RFID standards still utilized globally.

In enterprise computing, Dr. Sanchez designed a global data infrastructure simulator for Ford Motor Company, modeling various system components to identify data center reduction opportunities, potentially saving billions.

In cybersecurity, he directed large-scale cyber attack impact analyses and designed Cyber Ranges for the Department of Defense (DOD), conducting repeatable experiments and modeling cyber environments. He also led a DOD security study on Enterprise Resource Planning systems across the U.S. Armed Forces.

Dr. Sanchez pioneered password security with a Negative Authentication (NA) system for the Intelligence Advanced Research Projects Activity (IARPA), inspired by the immune system's T-cell process.

In machine learning, he designed a situational awareness framework for financial fraud detection in collaboration with Accenture, improving false positive ratios and identifying fraudulent activities in vast, unlabeled financial data sets.

Dr. Sanchez is the founder and Chief Software Architect of the Open Source RFID platform project. His software systems are employed by companies such as Samsung, NEC, NTT, Hitachi, Motorola, SAP, IBM, Microsoft, Sandia National Laboratories, MIT, and several organizations in East Asia and Europe.

Dr. Abel Sanchez is a distinguished faculty member at MIT Professional Education, specializing in advanced and applied topics such as Applied Blockchain, Applied Cybersecurity, Applied Generative AI for Digital Transformation, and Cloud & DevOps: Continuous Transformation. He offers Blended Professional Certificate Programs for Chief Digital Officer, Chief Product Officer, and Chief Technology Officer roles, as well as courses in Blockchain Technology and Data Leadership. Dr. Sanchez has taught professionals in 106 countries, focusing on leveraging technology for digital transformation, with courses available in multiple languages globally.

Over the past three years, Dr. Sanchez has focused his work on Generative AI, applying it across classrooms, industry, and government. He has developed on-demand interactive intelligent tutors and created applications, assistants, and agents for sectors including retail, finance, and education. His work demonstrates a commitment to advancing AI technologies and their practical applications, enhancing learning experiences, improving industry efficiencies, and supporting government initiatives with cutting-edge AI solutions.

He advises companies in the Americas, Europe, and the Middle East.