Digital IQ Series: Unlocking High-Value Enterprise LLM Use Cases

Join CDT Director Professor Vijay Gurbaxani in a conversation with Dr. Sharon Zhou, CEO of Lamini AI, to break down the use of large language (LLM) models.

The majority of enterprises are still in the early implementation phase of LLM adoption maturity. They have some shallow LLM applications in production, but still haven't unlocked the highest value use cases from their AI initiatives. In this session, we'll discuss why enterprise adoption is lagging behind current AI capabilities, why accuracy matters and how it underpins agentic workflows, and how enterprise leaders can help their organizations mature in their AI practice.

Dr. Sharon Zhou is the co-founder and CEO of Lamini, which has won this year’s VentureBeat Gen AI Startup Award and has been recognized as a Forbes Cloud 100 Rising Star. As a former faculty member at Stanford, she led a research group and published award-winning papers in generative AI. Sharon teaches some of the most popular AI courses on Coursera, including Fine-tuning LLMs, reaching nearly a million professionals. She earned her PhD in AI from Stanford, where she was advised by Dr. Andrew Ng. Before her PhD, she worked as an ML product manager at Google. She received her bachelor's degree in computer science and Classics from Harvard. Additionally, Sharon has served as an AI advisor in Washington, D.C., and has been featured in MIT Technology Review’s 35 Under 35 list.