Laboratory teams often struggle to identify the root causes behind failed experiments, unexpected results, and equipment issues because critical operational information sits across disconnected systems or goes unrecorded. As laboratories generate increasing amounts of data, artificial intelligence (AI) offers new opportunities to turn operational information into meaningful insights that support better decision-making.
In this episode, we spoke with Sridhar Iyengar, Founder and Chief Strategy & Technology Officer at Elemental Machines, about how AI-driven tools help laboratories move from reactive troubleshooting to proactive operations, thereby increasing reliability, supporting compliance, and improving day-to-day laboratory workflows.
