Maximo AI tools: intelligently identifying technical relationships

IBM Maximo AI: Automatically detect fault patterns

IBM Maximo AI helps companies identify recurring fault patterns and correlations within large datasets. This is particularly important when different reports, work orders or free-text entries exist for the same underlying cause.

The same root cause – described differently, prioritised differently and documented by different teams.

This is because, in day-to-day maintenance work, technicians analyse known fault patterns and assess faults multiple times. Over time, this results in a large volume of data and information.

Greater coherence in existing data

Particularly in established maintenance structures with long histories and diverse data sources, the burden does not stem from a lack of information. Rather, it is often the connections between existing data that are missing.

The AI capabilities of the IBM Maximo Application Suite provide practical assistance in this regard: the tools automatically analyse similar reports, work orders and technical descriptions and link them together. This works even when teams document these connections using different terminology.

Making patterns usable more quickly

Intelligent fault analysis makes existing solutions visible across the entire system. Patterns can be identified earlier and solutions applied in a more targeted manner. This significantly reduces the effort required for troubleshooting and recommending actions.

What information in your maintenance operations is analysed repeatedly, even though the cause is already known?