Case Study: Automating Workflows to Boost Efficiency & Free Up Scientific Demands
Time: 9:00 am
day: Conference Day Two - Morning
Details:
- Embedding automation at the bench level to eliminate repetitive manual tasks and dramatically increase experimental throughput
- Using AI-driven insights to streamline decision-making in scheduling, sample management, and equipment utilization
- Redesigning routine workflows to shift scientists’ time from low-value operations to high-priority discovery and development work
