MCCHE Precision Convergence Webinar Series with Daniel R. Isaacs

Thursday, December 14, 2023 11:00to13:00

Evolution of the Intelligent Digital Twin

By Daniel R. Isaacs

CTO & GM: Digital Twin Consortium
With special briefing by pioneer Dr. Michael Grieves


A digital twin is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity. They use real-time and historical data to represent the past and present, as well as to simulate predicted futures. Digital twin design is motivated by outcomes, tailored to use cases, powered by integration, built on data, guided by domain knowledge, and implemented in IT/OT systems. Digital twin systems transform business by accelerating holistic understanding, optimal decision-making, and effective action. In research, they power the exploration of multiscale mechanisms in biology, brain, machine, and other natural and human-made systems. Over the last decade, digital twins have evolved toward ever increasing intelligence and spread across virtually every major industry, including transportation logistic to multiple other domains throughout society. The Digital Twin Consortium was formed to drive awareness, accelerate the adoption and address key challenges faced across the digital twin lifecycle. Through collaborative partnerships with industry, academia, and government, the consortium is dedicated to the overall development of digital twins. This session will (1) discuss the evolution from traditional to intelligent digital twins and how with the infusion of AI, data-driven decision-making is accelerated toward achieving optimized outcomes. (2) Explore digital twins to model and predict the progression of diseases to optimize food production processes and reduce waste will showcase the value of Digital Twins through real-world use case examples; (3)Learn how smart cities utilizing intelligent digital twins enable healthier places and enable industry to achieve true sustainable digital transformation (4) discuss with a panel of leading academic and industry experts and business leaders whether digital twins can serve as precision convergence accelerator.

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