Document Understanding and the Power of Entity Extraction

The Union

In this episode, we John Michelsen and Chris Kraus explain the limitations of traditional document processing methods like Intelligent Document Processing (IDP) and Optical Character Recognition (OCR) and how they struggle with unstructured data and unforeseen questions. Listen in as they discuss how flexible, context-driven Natural Language Processing (NLP) is transforming document understanding, enabling businesses to extract information accurately and efficiently—even in complex scenarios.

They detail the benefits of NLP techniques such as lexical matching, entity extraction, and context-aware data sorting, which help technology leaders move beyond rigid rules and regular expressions. Discover how NLP allows organizations to identify essential data points, streamline workflows, and reduce human error, all while improving the accuracy of information extraction.

Learn how Krista integrates these NLP advancements to simplify document processing, freeing your team from complex rules and enabling faster, more reliable decision-making. Ready to take your document processing to the next level? Watch now to see how NLP is revolutionizing data extraction with the power of context.

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