Over the last decade, predictive maintenance has become one of the most widely discussed applications of artificial intelligence in industrial operations. The premise is compelling; collect more operational data, apply machine learning to identify early signs of equipment degradation and intervene before failures occur.
While this is a valuable perspective, research from McKinsey, Gartner, IDC, Deloitte, DNV and other industry leaders paints a more complex picture.
Predictive maintenance is no longer the end goal of digital transformation. Instead, it is becoming one component of a broader operational intelligence strategy that connects asset health with operational performance, commercial outcomes and sustainability.
This is a significant distinction for the maritime industry.
To continue reading ceto's exploration into why operational intelligence is becoming the next competitive advantage in shipping:
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