Data has reached a saturation point. Organizations today often have so much data that it’s difficult to decipher what’s valuable information and what’s just noise. Mining vast amounts of data for actionable insights can be costly and time-consuming. That’s where intelligent document processing, or IDP, comes into play.
Intelligent document processing (IDP) is a workflow automation technology that scans, reads, extracts, categorizes, and organizes meaningful information into accessible formats from large streams of data. The technology can process many different types of documents: papers, PDFs, Word docs, spreadsheets, and a multitude of other formats. The primary function of IDP is to extract valuable information in large sets of data without human input.
There are several advantages to automating some of your document processing through IDP. Through artificial intelligence, IDP can eliminate the need for manual data entry and processing workers. This not only increases the speed at which data can be processed but decreases the cost to do so—while also reducing human error for greater efficiency.
Modern organizations typically have high volumes of three types of data: structured, unstructured, and semi-structured. Structured data is organized and more easily read by human data processors. Unstructured data, on the other hand, is time-consuming to process and analyze. Semi-structured data falls in between. Intelligent document processing solutions are capable of automating data processing for structured, unstructured, and semi-structured data.
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