Automated information extraction


Automated extraction of claims information improves operational efficiency.


Year2017 – Ongoing

RoleAdvanced Analytics

TechnologyMicrosoft Azure

Explore new possibilities with AI / ML

Our UK-based Insurance client’s requirement was to improve the performance of home-grown traditional data warehouse/ BI platform and use NLP to extract claims information.

Replace boring work with smart bots

We started off by automating the QA test suite using open source stacks—nBI, nUnit, and GenBI. We also built a Machine Learning-based Natural Language Processing (NLP) model using Apache Spark to extract claims information from scanned PDF documents. Test automation resulted in better operational efficiency. We are currently working towards achieving 100% data accuracy by training the Machine Learning-based model.


Enjoy dual benefit – faster operations, lower cost

Our NLP-based data extraction solution proved to be a game-changer significantly bringing down the operational cost.