80% of the enterprise data is unstructured and organizations frequently struggle to process semi-structured and unstructured data across a myriad of documents with legacy optical character recognition (OCR) tools. Merely adding Artificial Intelligence (AI) and Machine Learning (ML) capabilities to legacy OCR tools does not help much in terms of Straight-Through Processing (STP) with accuracy.
What enterprises need is a comprehensive
Intelligent Document Processing (IDP) solution that holistically solves the issue to processing unstructured data. Then there is the aspect of achieving end-to-end automation by ingesting and processing unstructured data and automating a series of tasks, needless to say, a suitable combination of RPA, IDP, and AI/ML capabilities is indispensable for achieving automation of such workflows & processes.
-1.jpg?width=1280&name=Webinar%20(1)-1.jpg "Webinar - Driving Agility with RPA, IDP & Intelligent Automation Key Use Cases & Good Practices for scalability")
.png)
