SimpleWays OÜ
A maintenance practitioner in 2025 must master data-driven maintenance, AI tools, strategic alignment, practical KPIs, and Reliability-Centered Maintenance to optimize asset reliability, enhance decision-making, and deliver maximum value in today’s complex industrial environments. Let’s see how?
Explore the transformative role of machine learning (ML) in maintenance practices its applications in predicting failures of critical components like gearboxes, rotating equipment, and batteries, and high-stakes environments such as heavy industries & aviation with practical examples from different ML algorithms and references