The biopharmaceutical industry is racing to harness advanced analytics and AI to improve drug discovery, development, manufacturing, and quality control. However, a significant barrier remains: the current state of scientific data. Despite the massive volume of available data—measured in exabytes—much of it is not yet accessible or optimized for advanced analytics and AI/ML applications. Bridging this "data utility gap" is essential for speeding up scientific breakthroughs and delivering life-changing therapies to patients more efficiently and cost-effectively.
Databricks and TetraScience have partnered to overcome these challenges, unlocking the full potential of scientific data. Together, we are revolutionizing the way scientific data is utilized, driving innovation across a growing number of Scientific AI use cases throughout the biopharmaceutical value chain.
Join us to explore:
- How scientific data must be replatformed and engineered into large-scale, compliant datasets optimized for analytics and AI
- The utilization of AI-native datasets across the pharmaceutical value chain, delivering novel insights and enabling data-driven decision-making
As a practical example, learn how Databricks and Tetrascience enable the consolidation and comparison of data from Chromatography Data Systems into a single, interactive dashboard. This empowers teams to assess performance variability, identify root causes, and track trends of this critical analytical technique in real-time, leading to faster, more informed decisions across labs.
Register now to secure your spot and start transforming your scientific data.