Cognitive Metadata Extraction

One of the leaders in Oil and Gas Drilling was at a crossroads when digitizing legacy content management proved more diﬃcult than expected. Unorganized documents and manual errors further complicated the matter.

We helped the client design a cognitive metadata extraction solution for reducing manual eﬀort and eliminating documentation errors.
The solution can extract the provided metadata from the scanned documents available in image format.
The continuous self-learning system can do auto corrections and drive semantics based rules on human feedback without any need of re-engineering.
The solution is designed to cover practices of 4 diﬀerent types of 10000s of documents.

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