To ensure optimal performance of machinery, systems and components while reducing the time and cost of service interventions, manufacturers, Telcos, Utilities, etc. are looking to use internal knowledge sources to drive efficient maintenance responses. However, one of the main challenges is that this data is siloed in operating and maintenance manuals, technical files, instruction documents, service tickets, operator reports, etc.
Applying expert.ai’s artificial intelligence with natural language understanding, with its ability to collect, categorize and provide access to huge amounts of unstructured data, is a tremendous opportunity for companies to streamline and improve large-scale maintenance processes.
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Improve maintenance activities through the analysis of repair reports
