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From analytics to action - Asad Malik

Industrial plants lose millions annually by relying on reactive, "firefighting" maintenance strategies. In this session, we break down the necessary cultural and technological shift toward predictive asset health management. We explore the evolution of maintenance—from run-to-failure to AI-enabled predictive foresight. Learn how continuous monitoring, high-frequency data collection, and AI-assisted diagnostics identify critical machine faults weeks before failure. The presentation also showcases a fully integrated workflow, demonstrating how AI diagnostics seamlessly connect with CMMS platforms to verify spare parts, generate work orders, and supply technicians with safety and repair procedures—turning raw analytics into immediate action.

You can ask anything about maintenance, reliability, and asset management.