Smart Data Extraction

Smart Data Extraction

In the course of a knowledge-worker's job, he often has to read through bodies of text to decipher and extract meaningful information from chunks of text.

For example, a person in the "claims" department for car insurance would have to read descriptions of the accident, and extract relevant data such as locations, timings, brands of car, etc.

In another example, a business analyst reading a piece of news about a listed company would probably want to pick out information such as its stock price, its annual revenue, and locations of branches.

Gleematic RPA software has a smart function to pick out information such as those in the examples above. This artificial intelligence (AI) algorithm can also be trained for specific use cases (e.g. for insurance claim).

Please see the demo below.

Let us know if you'd like to discuss further, and we'd be most happy to meet up.

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