Panel Discussion
From data access to data readiness:
The next bottleneck in AI-Driven small molecule discovery

AI is advancing rapidly in drug discovery — but is your data ready?

Join leading experts from AI-first biotech, computational chemistry, and pharmaceutical R&D as they discuss how transforming fragmented scientific data into AI-ready intelligence is accelerating modern small molecule discovery workflows.

Why AI-Driven Small Molecule Discovery Needs Better Data ?

AI models today can generate predictions faster than ever before — but without standardized, context-rich, and integrated datasets, even the most advanced systems struggle to deliver reliable outcomes.
This exclusive panel discussion hosted on the Pistoia Alliance platform will explore why data readiness — not compute power — has become the true bottleneck in scaling AI-driven drug discovery.

Key Takeaways

• Why data readiness is becoming the biggest bottleneck in AI-driven drug discovery
• How leading biotech and pharma teams are overcoming fragmented scientific data challenges
• What it takes to build scalable, AI-ready discovery workflows and datasets