Three AI Approaches Applied to Maintenance Support
Artificial Intelligence for Industrial Maintenance: a pragmatic path to measurable ROI
Article REF: IA3020 V1
Three AI Approaches Applied to Maintenance Support
Artificial Intelligence for Industrial Maintenance: a pragmatic path to measurable ROI

Author : Vincent Lemonde

Publication date: May 10, 2026 | Lire en français

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2. Three AI Approaches Applied to Maintenance Support

Today, generative artificial intelligence is a major topic in the media. However, the industry is by no means new to AI. For several years now, it has been incorporating various forms of artificial intelligence, particularly machine learning (ML), as well as techniques such as deep learning, expert systems, and stochastic optimization.

There are numerous, well-defined use cases: predictive maintenance, automated quality control, energy optimization, production planning, inventory management, and more. These approaches have often emerged in the wake of Industry 4.0 initiatives, which have promoted machine connectivity and the use of real-time data.

There are many promises, but just as many challenges. Let’s take a closer look at the practical issues and technical challenges associated with the major categories of AI approaches in industrial...

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