A Global Bank and Financial Services company has a large team of analysts who semi-manually extract information from millions of financial documents, in many different formats, structured and unstructured. Our team implemented an innovative solution to automate the digitization of these documents, and ingest data with more than 96% accuracy from financial and long-form text documents in PDF, image, Excel, CSV, and other input formats. This technology solution is state-of-the-art and uses AI, Machine Learning and Natural Language Processing in combination with proprietary algorithms that include domain and industry expertise. This solution resulted in more than 200% ROI and an 80% reduction in processing time.
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Case Study: Unstructured and Structured Data Extraction