SESSION

Layered Intelligence: Generative AI Meets Classical Decision Sciences

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKGenerative AI
INDUSTRYHealth and Life Sciences, Public Sector
TECHNOLOGIESAI/Machine Learning, GenAI/LLMs
SKILL LEVELIntermediate
DURATION40 min

In this talk, we'll explore how Generative AI, especially Large Language Models (LLMs), integrate into classical decision science methodologies. We'll see how LLMs extend beyond chatbots to enhance optimization algorithms, statistical models, and graph analytics. This layered approach brings a new edge to traditional methods, allowing for complex problem-solving, nuanced data interaction, and improved interpretability. The session will cover the methods and architectures, along with real-world applications and demo implementations. We'll discuss how AI LLMs can breathe new life into decision sciences, advancing strategic analytics and decision-making.

SESSION SPEAKERS

Danielle Heymann

/Data Scientist
National Institutes of Health