Workshop E: From Data to Decisions: AI-Driven Predictive Maintenance in Lab Environments
Time: 11:30 am
day: Workshop Day - Track B - P2
Details:
This session explores how artificial intelligence and machine learning transform maintenance strategies in modern laboratories by predicting equipment failures before they occur. Attendees will see how real-time asset and sensor data are used to minimize downtime, extend asset life, and enable smarter, data-driven decisions across the lab ecosystem.
- Learn how machine learning models use asset and sensor data to forecast failures and optimize maintenance schedules
- Understand the measurable business value of predictive maintenance—reducing unplanned downtime and increasing equipment reliability
- Discover how AI-driven insights improve operational readiness, compliance, and lifecycle management across complex lab environments
