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Bridging Wet Lab & Dry Lab: How Data Connectivity Unlocks AI in Biotech

The AI gains in biotech are real, but they're only possible if your data is. In this talk from our software partners at Benchling, we explore how the design-build-test-learn loop depends on having clean, connected, and context-rich data across your entire research organization.

We cover:

  • Why fragmented, human-centric data workflows are costing scientists up to 18 hours a week in logistics

  • How Benchling's instrument connectors and the open-source Allotrope library standardize proprietary instrument data for long-term usability

  • Configurable data pipelines that eliminate manual data wrangling

  • Scientific analytics tools including outlier flagging, hypothesis testing, and Bayesian experiment optimization

  • A demo of a fully automated ELISA workflow connecting Benchling and HighRes, from notebook to robot and back, zero clicks required