
These days, many laboratories are eager to apply AI, but the systems and workflows that they have implemented often stand in the way. When systems run separately, information gets trapped in silos and scientific context is lost between steps. Also, manual handoffs slow the work down and introduce risk at various points in lab processes. Connecting those systems and workflows first gives AI the operational and scientific context it needs to deliver value that can be both trusted and scaled.
In this GEN podcast, the third in a series, LabVantage’s Denise Bell discusses how laboratories can reduce operational fragmentation and build connected, scalable operations. The discussion covers workflow orchestration across laboratory functions, ways to reduce manual handoffs and information silos, and offers some practical starting points for AI adoption. It also looks at how bringing LIMS, ELN, LES, and SDMS together in a unified laboratory execution environment enables workflow intelligence and AI assistance in the right scientific and operational context.
Speaker: Denise Bell
Moderator: Uduak Thomas
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