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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
The uprising of cloud computing has been a catalyst for unprecedented technological advancement. By centralizing vast datasets and processing power, the cloud has created a fertile ground for the development of artificial intelligence. This symbiotic relationship has accelerated innovation across various industries. Let’s have a close look
The cloud mindset represents boundless possibilities, scalability, and collaboration. It’s the catalyst for innovation and progress. While the local mindset, grounded in control and ownership, offers a sense of security and stability. Let’s delve into both worlds
Integrating business analysis principles into the realm of maintenance unlocks a world of possibilities that can transform maintenance from a cost center into a strategic advantage. Business analysts, equipped with the right tools and mindset, become architects of efficiency, cost reduction, and improved equipment performance.