The future of digital government is AI-powered intelligent document processing
Whitepaper from AI and automation expert Pascal Bornet
IDP is a subset of intelligent automation that extracts, reads, interprets and acts on unstructured and semistructured data in a variety of formats. These formats may include templates, forms and other documents with wide-ranging layouts, such as checkboxes, tables and handwritten elements. IDP extracts and interprets that content — within context — using artificial intelligence and machine learning models for more accurate and structured data. Once the data is extracted in a structured format, agencies can pair IDP with robotic process automation to support end-to-end business process automation.
In this whitepaper from industry expert Pascal Bornet in collaboration with Hyland, you’ll learn how IDP can help all levels of government:
- Unlock hidden information and value from document libraries
- Free your workforce to contribute to more high-value work
- Enable better decision-making
- Transform your agency into an intelligent digital organization