Generative AI: Transforming Healthcare with Large Language Models In this talk, we’ll explore the profound impact of generative AI in the healthcare sector. Large Language Models (LLMs) have become invaluable tools for professionals across the industry, from researchers to clinicians. We’ll delve into how LLMs are employed to parse and distill vast quantities of medical data, including intricate biomedical literature. A critical factor in the effectiveness of LLMs is the abundance and quality of data. With the healthcare industry generating nearly 30% of the world’s data, there lies an immense opportunity to leverage this information for groundbreaking insights. This talk will highlight the potential of LLMs in transforming data into actionable knowledge. Furthermore, we’ll discuss the capabilities of the Databricks Lakehouse for Healthcare and Life Sciences in this context. Participants will learn how this platform allows organizations to: 1. Merge diverse medical data sources, encompassing extensive biomedical literature from PubMed. 2. Select and apply any open-source, finely-tuned large language model to field biomedical queries based on a corpus of PDF documents. 3. Efficiently summarize complex biomedical documentation. Join us to understand the intersection of AI and healthcare, and how it’s setting the stage for a new era in medical research and practice.