MTU: AI for Product Life Cycle Management

June 2021. In its newest edition of AeroReport, Thomas Piprek, project leader Product & Life Cycle Management (PLM) describes how MTU proceeds to unearth the treasure trove hidden in technical documents. The overall task is to facilitate classifying and pre-sorting documents with software tailored to specific use cases and a user-friendly front end design.

Standard programmes for artificial intelligence (AI) are customised to MTU’s documents, their structure, formats, and user typical queries. “The AI module first builds itself a statistical model,” Piprek explains. “The next step is for us to give it rules for evaluating the content in a specific way.” Equipped with this combination of statistics and rules, the software gradually figures out a way to make sense of the documents. Over and over again, it retrieves familiar patterns and applies them to new scenarios requiring a decision. By matching the calculated result with the desired target result, the AI model learns. With each training run, it gets a little smarter, a little faster, a little more accurate. The more data available and the higher its quality, the better the training. The technical term for what emerges is a neural network. In this network, the software searches for terms that it recognizes from a similar context or that it identifies as synonyms. At some point, it will even be able to make sense of the content of documents that have little structure—and it will no longer be confused by barely legible letters on a scan of yellowed paper.

Source: MTU AG

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