Unlocking Scientific Data and Advancing the Scientific AI Revolution

Research-led industries such as life sciences, chemicals, agriculture, and materials generate some of the world's largest and most critical data sets. Yet, this treasure trove of scientific data remains largely untapped, locked away in over 10 million disparate, proprietary silos. Researchers will only be able to solve humanity's most pressing challenges if we unlock this data for predictive analytics and AI applications.

Join us as we explore how TetraScience and Databricks are solving this challenge. Their groundbreaking partnership enables the assembly of large-scale AI-native scientific data sets that are brought to life across a growing suite of AI-based use cases. See how generative AI for data analysis in gene therapy research, a lead clone selection assistant that reduces selection time by up to 80%, and digital quality control analytics that reduces out-of-specification events by up to 75%. A must-attend session for those interested in the cutting edge of AI in science.