Digital Twins: Not All Digital Twins are Identical

Abstract: 

Digital Twins, like the word Artificial Intelligence, is being used to mean very different things. We define the spectrum of different uses of the word from a digital data twin to a more sophisticated ecosystem of cognitive adaptive twins. We trace the history of digital twins and its roots in agent-based simulation and how it is merging with advances in machine learning (ML) and other areas of AI to morph into ‘simulation intelligence’. We describe several examples of digital twins in the transportation, banking, and healthcare sectors. Like ML models, simulation models are also being deployed across the enterprise and co-exist with other software and AI/ML models. A ten-step approach to building and deploying such models will be discussed. The talk will help business leaders to understand the benefits of digital twins while providing technology leaders the key skills, capabilities and tools required to design, build, and deploy agent-based simulations.

Bio: 

Dr. Anand S. Rao is the Global Artificial Intelligence Leader for PwC. He is also the leader of PwC’s AI and Emerging Technology practice. With over 35 years of industry and consulting experience, Anand leads a team of practitioners who advise C-level executives and implement advanced analytics and AI-based solutions on a variety of strategic, operational, and ethical use cases. With his PhD and research career in Artificial Intelligence and his subsequent experience in management consulting he brings business domain knowledge, software engineer expertise, and statistical expertise to generate unique insights into the practice of ‘data science’.

Prior to joining management consulting, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute. He received his PhD from University of Sydney (with a University Postgraduate Research Award-UPRA) in 1988 and an MBA (with Award of Distinction) from Melbourne Business School in 1997. Anand has also co-edited four books on Intelligent Agents and has published over fifty papers in Computer Science and Artificial Intelligence in major journals, conferences, and workshops.

He has received widespread recognition for his extraordinary contributions in the field of consulting and Artificial Intelligence Research. He has received the Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents & Multi-Agent Systems organization for his contribution on the Belief-Desire-Intention Architecture; MBA Award of Distinction from Melbourne Business School, 1997 and University Postgraduate Research Award (UPRA) from University of Sydney, 1985; Distinguished Alumnus Award from Birla Institute of Technology and Science, Pilani, India; He was recognized as one of Top 50 Data & Analytics professionals in USA and Canada by Corinium; one of Top 50 professionals in InsureTech; one of Top 25 Technology Leaders in Consulting; and has won a number of awards for his academic and business papers.
Anand is an Adjunct Professor in BITS Pilani’s APPCAIR AI Center. He also serves on the Advisory Board of Oxford University’s Institute for Ethics in AI, World Economic Forum’s Global AI Council, OECD’s Network of Experts on AI (ONE), OECD’s AI Compute initiative, Advisory Board of Northwestern’s MBAi program, Responsible AI Institute, Nordic AI Institute, and International Congress for the Governance of AI.
Anand Rao can be contacted on any of the following channels:
Linkedin: https://www.linkedin.com/in/anandsrao/
Twitter:@AnandSRao
Medium: https://anandsrao.medium.com/
Semantic Scholar: https://www.semanticscholar.org/author/Anand-Srinivasa-Rao/145946928

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