Lab Workflows Reimagined: Automation for AI-Driven R&D
In this webinar, hosted by Xtalks and Benchling, you will learn how scientific organizations are addressing the gaps in fragmented instrumentation, manual workflows, disconnected analysis tools, and inconsistent metadata capture, by modernizing and automating their lab and analytics workflows. Attendees will hear how automation can streamline the capture, processing, and structuring of experimental data, and create AI-ready data assets that are reliable, reproducible and traceable.
You will learn:
Why consistent, high-quality data is critical for AI success in R&D
How to automate instrument data capture and workflow processing across experiments and assays
Strategies to embed rich metadata and context for improved traceability and data integrity
About the impact of automation on scientific productivity and reproducibility
How automation and analytics platforms accelerate time-to-insight and power AI/ML model development
