Written by FedScoop staff
As federal agency executives seek to modernize operations and streamline manual workflow processes with automation, one area that creates significant bottlenecks is document and data processing.
Public sector organizations need to effectively and efficiently process millions of forms, applications, and images – some digital, others manuscript – to meet the needs of critical workflows. And document formats are continually changing and varying in quality and complexity, making it difficult to process and extract data on a large scale reliably and efficiently.
“Intelligent Document Processing (IDP) is a powerful example of intelligent automation in action, delivering tangible value to organizations looking to increase efficiency and accuracy when dealing with huge volumes of data,” according to a recent Hyperscience report.
Using advanced artificial intelligence (AI) and machine learning (ML) techniques, Hyperscience’s proprietary extraction engine is capable of classifying and extracting data from all types of documents, including handwritten forms, PDFs and low-quality images, with greater precision and automation than existing solutions.
“Hyperscience provides up to 95% data entry with over 99% accuracy, far exceeding the industry average accuracy rate of around 55%,” the report shares. “Out of the box, customers can expect around 80% automation,” which continues to improve as the ML solution learns and trains on the data to which it is exposed, resulting in increases throughput without sacrificing precision.
Find out how Hyperscience’s automation platform is helping government agencies increase efficiency and drive better results.
This article was produced by FedScoop for, and sponsored by, Hyperscience.