Namita Patel

  1. Introduction: Re-Architecting the Intelligence in the global IDP Market The   global IDP   market has steadfastly emerged as a core pillar of the ‘intelligent automation’ arena, evolving from ‘simple OCR’ capabilities, to being the  ‘cognitive engine ’ of the modern enterprises . The QKS Group defines Intelligent Document Processing (IDP) as an advanced technology that leverages Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and increasingly Generative AI (GenAI), to automate critical processes like - ingestion, interpretation, extraction, classification, enrichment, and routing of data, from the - structured, semi-structured, and unstructured document types. Modern IDP platforms are advancing towards the usage of  ‘autonomous document agents’ , integrating the template-free approach, along with the multimodal extraction, imbibing the few-shot learning, and the conversational interfaces for ‘near-zero-touch’ ope...

  Quadrant Knowledge Solutions defines Intelligent Document Processing (IDP) as the automatic extraction of valuable information from documents received by organizations in diverse formats, including structured, semi-structured, and unstructured documents. IDP employs technologies such as 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) to extract, interpret, and categorize relevant data from files, emails, PDFs, scanned documents, and other formats for analysis and workflow automation. Automated document processing is increasingly leveraging Cloud Storage for secure storage and accessible data retrieval from processed documents, catering to remote teams and businesses with multiple locations. Additionally, cloud providers offer features like automated backups and version control, simplifying document managemen...

  The realm of Intelligent Document Processing has advanced from the amalgamation of fundamental optical character recognition (OCR) capabilities with matured artificial intelligence and machine learning (AI/ML) technologies. This evolution has led to the automation of complex tasks like recognizing handwriting, tables, and errors in documents, while simultaneously improving the quality of incoming data. The automation of document processing, aligned with cutting-edge technologies, offers a multitude of advantages, including seamless integration with core processes, eradication of manual labor, adherence to compliance standards, and resolution of challenges associated with processing intricate documents.   Key inquiries addressed by this study: 1.        Is the Intelligent Document Processing (IDP) market expanding? 2.        What is the growth potential, both short-term and long-term, for the Intelligent D...