AI Powered Digital Twins of Real Organizations - Aspiration and Reality
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.What to expectDuring this live webinar, attendees will 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 deploymentsInteractive Q&A sessionYou 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 AIHosted by: 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).
