AI streamlines pharmaceutical research data analysis

Drug discovery produces vast research data that can overwhelm scientists and delay treatments. Managing siloed datasets while ensuring compliance creates barriers to innovation.

A case study shows how Snowflake partnered with a global biopharma company to transform its data infrastructure. Using an AI-powered solution with Amazon Bedrock, they built a centralized hub enabling natural language data queries. Highlights include:

· Gen AI translating complex tables into plain-English summaries
· Controlled pipelines ensuring data integrity and faster workflows
· Agentic workflows boosting efficiency in identifying drug interactions

Read the case study to see how this accelerates drug development.