As gen AI continues to mature, organizations are moving beyond proof of concept (POC) into real-world applications that deliver measurable value.
In this webinar, discover how Gilead’s Enterprise Risk Management (ERM) team leverages the latest large language models (LLMs) to transform how they identify and assess organizational risks. Faced with the challenge of processing large volumes of unstructured data—such as analyst reports, audit documents and regulatory filings—the team previously relied on time-consuming manual reviews that limited efficiency and insight generation.
With the help of ZS and Databricks, Gilead implemented a gen AI-powered solution to streamline risk identification, enhance quarterly operational workflows and extract meaningful insights from publicly available information.
Watch this webinar to learn:
- How the ERM team was able to overcome time-intensive tasks and optimize their activities
- The benefits achieved in using the Q&A natural language and UI functionalities of the solution
- How Gilead identified the potential to scale this solution to other teams
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