Digital Transformation: A Deep Dive into Intelligent Document Processing (IDP) Solutions
Quadrant Knowledge Solutions defines Intelligent Document Processing (IDP) as the automated extraction of valuable information from a variety of document formats received by organizations. Employing technologies like Artificial Intelligence (AI), Machine Learning (ML), Optical Character Recognition (OCR), Computer Vision, Robotic Process Automation (RPA), Natural Language Technology (NLT), and Intelligent Character Recognition (ICR), IDP interprets and categorizes data from documents such as word files, emails, PDFs, and scanned documents.
This process facilitates analysis and workflow automation without requiring predefined templates, particularly adept at handling unstructured documents. Utilizing a template-free approach and a no-code platform, IDP incorporates human-in-the-loop (HITL) capability for real-time correction and uncovering hidden information. Moreover, it identifies sensitive data fields like personally identifiable information (PII) and employs data masking techniques for redaction or anonymization.
In the realm of automated document processing, Cloud Storage has seen a surge, offering secure data storage and accessibility for processed documents from any location, catering to remote teams and multi-location businesses. Cloud providers offer features such as automated backups and version control, simplifying document management and collaboration.
Key questions regarding the Intelligent Document Processing (IDP) market:
- Is the Intelligent Document Processing (IDP) market experiencing growth?
- What is the short-term and long-term growth potential of the Intelligent Document Processing (IDP) market?
- What are the primary market accelerators and restraints impacting the global Intelligent Document Processing (IDP) market?
- Which industries are the major end-users of Intelligent Document Processing (IDP) solutions, and which offer the most growth opportunities?
- Which global regions present the highest growth opportunities in the Intelligent Document Processing (IDP) market?
- Which customer segments exhibit the highest adoption rates of Intelligent Document Processing (IDP) solutions?
Efficient document retrieval is facilitated by swift search functionalities enabled through natural language processing (NLP) and optical character recognition (OCR) technologies. These technologies extract data from documents, allowing for keyword-based search queries, thus expediting and enhancing document retrieval accuracy.
Additionally, vendors providing blockchain integration enhance security by establishing an immutable and decentralized ledger to track the document lifecycle, deterring tampering and unauthorized access while maintaining a transparent audit trail.
Vendors covered in this study:
ABBYY, Alkymi, AntWorks, Appian, Automation Anywhere, Celaton, Code mantra, Datamatics, Edge Verve System, eigen Technology, Grooper (BIS), HCL Technologies, IBM, Indico Data, Infrrd, JIFFY.ai, Knowledge Lake, Kofax, Laiye, Microsoft, OpenBots, Parascript, Parashift, qBotica, Rossum, Stravie, UiPath, UST, and Work fusion.
Comments
Post a Comment