Introduction
What is Intelligent Document Processing?
Intelligent Document Processing is an innovative evolution in standard data capture that extends optical character recognition (OCR), AI and other techniques to identify and extract information from unstructured content.
What use Intelligent Document Processing?
Enterprises produce and receive massive volumes of new information every day to make decisions, manage operations and create value. A majority of that information is inaccessible and invisible to the business applications that need it most, undermining the ability of decision makers to truly understand the opportunities and constraints impacting their organization.
By standardizing and automating information extraction processes, enterprises can more productively and accurately extract knowledge and intelligence from unstructured content to create insights that accurately reflect operational reality, enabling more effective digital transformation initiatives and better business outcomes.
What use Intelligent Document Processing?
Enterprises produce and receive massive volumes of new information every day to make decisions, manage operations and create value. A majority of that information is inaccessible and invisible to the business applications that need it most, undermining the ability of decision makers to truly understand the opportunities and constraints impacting their organization.
By standardizing and automating information extraction processes, enterprises can more productively and accurately extract knowledge and intelligence from unstructured content to create insights that accurately reflect operational reality, enabling more effective digital transformation initiatives and better business outcomes.
What use Intelligent Document Processing?
Enterprises produce and receive massive volumes of new information every day to make decisions, manage operations and create value. A majority of that information is inaccessible and invisible to the business applications that need it most, undermining the ability of decision makers to truly understand the opportunities and constraints impacting their organization.
By standardizing and automating information extraction processes, enterprises can more productively and accurately extract knowledge and intelligence from unstructured content to create insights that accurately reflect operational reality, enabling more effective digital transformation initiatives and better business outcomes.
Benefits / Drivers of IDP Adoption
- 1. Reduce the overall costs of processing huge volumes of data
- 2. Increase accuracy and speed
- 3. Enterprises' intent to improve strategic business outcomes beyond cost reduction (e.g improved customer experience)
Benefits / Drivers of IDP Adoption
- 1. Reduce the overall costs of processing huge volumes of data
- 2. Increase accuracy and speed
- 3. Enterprises' intent to improve strategic business outcomes beyond cost reduction (e.g improved customer experience)
Intelligent Capture with RPA
Save 85% invoice processing time with Intelligent Capture with RPA
- Analyzing unstructured content to produce clean, structured data as required by RPA
- Eliminating or reducing the manual work required to interpret documents
- Minimizing exceptions
- Learning from corrections
Data Extraction, Verification and Export
Data Extraction, Verification and Export
Combining DC with RPA
Combining DC with RPA
Why IBM Datacap
IBM Datacap is a complete solution for document and data capture. IBM Datacap scans, classifies, recognizes, validates, verifies, and exports data and document images quickly, accurately and cost effectively. IBM Datacap ingests documents, extracts useful information from them, and feeds them into other business processes downstream. Its strength is its ability to complete these tasks with a high degree of automation, flexibility, and accuracy using highly configurable rule-based document digitization and processing.
IBM Datacap is also an integral part of the Cloud Pak for Business Automation (CP4BA), which unites in a single platform five important elements, which are data capture, task automation, content management, workflow management, and business decision automation. CP4BA is an integrated platform that can help businesses drive virtually any business process automation project at speed and scale.
At a high level, IBM Datacap functions can be organized into three areas:
- Acquisition of documents from several sources
- Processing of documents to extract useful information
- Delivery of content and data to back-end systems
- Acquisition of documents from several sources
- Processing of documents to extract useful information
- Delivery of content and data to back-end systems
These functions are integrated into a task flow that controls the processing of the documents from acquisition to delivery. Background tasks are used whenever the processing can be automated. Foreground tasks are used when human interaction is required, such as resolving errors and ambiguities in the extracted data that falls below confidence score threshold value that is configurable.