Hala Nelson is professor of mathematics at James Madison University and the author of Essential Math for AI (O'Reilly 2023). For the Artificial (Un)Intelligence Conference, she's going to give us a sneak peek into her thoughts on her upcoming book, AI Powered Digital Twins (Wiley 2026).
Hala is presenting her session, streaming live from Washington, DC during the 24 hour Artificial (Un)Intelligence Conference.
Session Description
Because historically Data and AI have evolved within relatively separate communities, their capabilities and adoption strategies are valued differently by different work teams and investment decision makers. Many of us are currently attempting to harness the power of AI technologies at large complex organizations. Initiatives span across AI specialists, data engineers, IT departments, strategists, ethicists, executives, and people on the ground.
How does an implementation team guide a 32,000 person institution to optimally adopt AI within the very short time attention span of an executive who wants an immediate ROI? Can resources be justified for the ambitious goal to create a digital twin of the processes and systems of an entire organization where AI can be applied to drive efficiencies and improvements?
In this talk I will present my experience on what it takes to move from aspiration to an implementable reality- from math to data to strategy to people to everything in between. We’ll also try to answer the question on everyone’s mind: will we eventually succeed, or will all our efforts end up in the wasteland of failed projects, efforts, funding, and time?
Tools, Technologies, and Concepts Featured
Key Takeaways: Hurdles for real world large scale AI deployments
Strategy 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
About Hala Nelson
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.
The Artificial (Un)Intelligence Conference is a global, 24 hour live online conference. Registration is free, and includes access to all sessions, including on-demand, at the conclusion of the event. No sales pitches, no marketing. Just the good stuff.
We're trying to find the unheralded people around the world who are doing cool things with AI. Is that you?
Check out our speaker gallery and then let us know what you're working on. We look forward to hearing your story.
コメント