Enable AI-ready data with data automation

The adoption of AI/ML in life science R&D is hindered by the lack of high-quality, well-structured data and metadata, a challenge exacerbated by a proliferation of proprietary instrument data formats, siloed lab software applications, and the absence of wet lab-friendly data automation platforms. While some workflow-specific solutions exist, they are often difficult to scale and adapt to evolving scientific needs, adding to the data-wrangling burden of wet lab scientists.

Milton Yu (​@Milton), Head of Automation and Analytics Strategy at Benchling, will share how Benchling Connect and Analysis automate the lab data lifecycle end-to-end. Benchling’s scalable, open platform integrates industry data standards within a user-friendly interface, saving scientists up to eight hours weekly on data management tasks.

Rachel Korwin-Miller (@rmiller), R&D IT Manager at Vir Biotechnology, will share how they successfully spearheaded the development and implementation of state-of-the-art solutions using platforms like Benchling to significantly enhance data management, optimize workflows, and achieve comprehensive end-to-end automation. These efforts lead to the team saving up to 8 hrs/week per scientist.

This webinar will also be broadcast on March 25th at 11am CET