Part 9/15:
He describes a scenario where a manufacturing line's cycle time was reduced from 90 seconds to 60 seconds by rapidly diagnosing a bottleneck in just half a day. This was achieved through a combination of real-time data analysis, reasoning workflows, and AI-driven decision support systems.
Leaning into Human-AI Synergy: Enhancing Operator Experience
While automation and AI form the backbone of Apollo’s innovation, human operators and plant experts remain central. The company aims to empower operators with intelligent tools, enabling them to understand machine health and troubleshoot proactively.