AI Powered Digital Twins of Real Organizations - Aspiration and Reality

Join us March 26, 2025 at 9 a.m. PDT for this live webinar

Join us for an insightful webinar with guest speaker Dr. Hala Nelson, professor of mathematics at James Madison University and author of Essential Math for AI (O'Reilly, 2023) and AI Powered Digital Twins (Wiley, 2026).

As AI and data continue to evolve within distinct communities, their adoption and value are often perceived differently across teams and decision-makers. Many organizations, large or small, are grappling with how to effectively implement AI technologies—balancing the needs of specialists, engineers, strategists, executives, and more.

Tom Sawyer Perspectives helps you to discover and address inconsistencies that plague your development and maintenance teams at any stage of the digital twin lifecycle.

Tom Sawyer Perspectives helps you to discover and address inconsistencies that plague your development and maintenance teams at any stage of the digital twin lifecycle.

What to expect

During this live webinar, attendees will learn learn about:  

  • AI Supply Chain

  • Hurdles for real-world, large-scale AI deployments

  • Strategies for deploying AI at real-world organizations

  • Buy-in and funding models

  • The reality is decentralized

  • Current technologies supporting the creation of AI-powered digital twins of objects, processes, and organizations

  • The imperative for an engineering standard-of-care in our current real-world deployments

Interactive Q&A session

You will also have the opportunity to engage with our host during the interactive Q&A session. Have your questions answered in real-time and gain deeper insights into the subject matter.

Who should attend

  • Data Engineers

  • Data Scientists

  • Systems Engineers

  • Anyone interested in using graph technology in AI

Register today

Join us on March 26, 2025, at 9 a.m. PDT. 

Submit the below form to register and save your spot for this live webinar.

About the host

2025.03.05.0.Nelson.Hala

Hala Nelson, Ph.D.
Professor of mathematics at James Madison University and the author of Essential Math for AI (O'Reilly 2023), and AI Powered Digital Twins (Wiley 2026).
Connect on LinkedIn

 

Hala Nelson is a professor of mathematics at James Madison University and the author of Essential Math for AI (O'Reilly 2023) and AI Powered Digital Twins (Wiley 2026). She specializes in mathematical modeling, AI and data strategy, digital twins, and consults for the Departments of Defense, State, and emergency and infrastructure services in the public sector.
 
Nelson’s expertise lies at the intersection of mathematical modeling, data, AI, Digital Twins, real world industrial and military applications, and AI and data strategy and governance.
 
Nelson grew up in Lebanon during its brutal civil war. She lost her hair at a very young age in a missile explosion. This event, and many that followed, shaped her interests in human behavior, the nature of intelligence and artificial intelligence (AI). Her dad taught her math, at home and in French, until she graduated high school.
 
Her favorite quote from her dad about math is “It is the one clean science.” Nelson earned a bachelor's degree in mathematics at Beirut Arab University, a master's degree in mathematics at American University of Beirut and a doctorate in mathematics at New York University.

Contact us today

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