Building Data Foundations: How to Make Sure Your AI Pilots Don't Fail
Join Benchling and Sail Biomedicines for a practical session on what it actually takes to move AI from pilot to production in R&D. This webinar will break down why most AI initiatives stall (not because of the models, but because of the data foundation underneath them) and what leading biotech organizations are doing differently to build infrastructure that makes AI work.
Why data quality, not model selection, is the #1 reason AI pilots fail,
and what Benchling's 2026 Biotech AI Report reveals about the infrastructure gap between high and low AI adopters
How Sail Biomedicines built a structured data foundation on Benchling that positioned their team for AI success, including practical takeaways on data modeling, flexibility, and scaling as the company grows
A framework for assessing your organization's AI readiness across R&D workflows, with real-world case studies showing how biotech and pharma teams turned data strategy into measurable impact: from 50% time savings to 7–65x workflow improvements
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