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.
Watch the on-demand webinar 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.