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Скачать или смотреть Cognitive Document Automation Overview

  • Tromba Technologies
  • 2020-07-17
  • 126
Cognitive Document Automation Overview
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Описание к видео Cognitive Document Automation Overview

Welcome to Tromba Technologies' YouTube channel. Visit https://www.trombatech.com for more information! Email Tromba at [email protected] for more information.

Tromba presents videos about Cognitive Document Automation as a series. There is this overview video, an animation summary, and three demonstration videos.

Animation Summary -    • Cognitive Document Automation Animation  

Demonstration Videos:

Part 1 - Kofax TotalAgility HR Benefits Packet Demonstration -    • KTA HR Benefit Packet - Cognitive Document...  

Part 2 - Kofax TotalAgility Financial Documents Demonstration -    • Cognitive Document Automation - Kofax Tota...  

Part 3 - Kofax TotalAgility Invoice Demonstration -    • Cognitive Document Automation - Kofax Tota...  

If you are have questions and are looking for a particular demonstration of Cognitive Document Automation, contact us at [email protected].

Cognitive Document Automation is the use of automation technologies to intelligently automate the acquisition, understanding and integration of all types of information across an organization, especially unstructured data in documents and emails.

Cognitive Document Automation CDA Solution Provider
Through cognitive document automation (CDA), which combines multichannel document capture (including mobile) and intelligent OCR, users have the power to quickly and accurately process any document of importance to any business.

​Organizations can augment cognitive capture with robotic process automation (RPA) and other "smart" capabilities such as process orchestration, and analytics―all within a single, unified Intelligent Automation platform and solution.

Customers can deploy a comprehensive business workflow that manages and optimizes all document and data capture tasks to enable lower operational costs and improved customer engagement.

Image Perfection - Perfect Image Every Time
Eliminate the need to rescan with automatic image correction, regardless of color, size, contrast, condition or content. Simple tools in the document imaging software enable operators to make quick repairs without having to touch the original document.

Machine Learning
Machine learning transforms structured and unstructured data into actionable insights, and embedded AI smartly recognizes people, content and context. Cognitive Document Automation learns from you as a user where information is in the document.

Natural Language
Sentiment analysis and entity extraction improve customer and employee engagement and loyalty, deliver greater insights to the voice and opinions of social media, chat bot dialogs and email, and enhance decisions through greater understanding of intent.

Separate Documents
No more manual sorting. No more coversheets. Automate separating documents. Automation will determine where a document begins and ends.

Classify Documents
No more manual sorting of of like document stacks. No more coversheets that have to be manually created to "tell" the system what type of document is being scanned. Automate classifying the documents that are scanned. Automation will determine what "type" of document it is and where the document's first and last page is.

Extract Information
Automation can extract both structure and unstructured information. Advanced OCR, multiple OCR engine voting, ICR (hand writing), OMR mark-sense recognition; all combined with Intelligent Automation rules creates the automation required to power high-volume mailroom automation.

Evaluate Results
Provide visibility, process intelligence and insight to customers, employees, robots and business partners.

Manage Exceptions
Drive successful outcomes by orchestrating multiple actions, people, software robots, policies and systems.

Integrate
Integrates with downstream processes or systems of record through either pre-configured, system-specific connectors or API- or standards-based connectors. Or leverage RPA robots to integrate with systems where these connectors are unavailable. In this case, RPA employs built-in integration capabilities that easily map data between source and destination systems, without the need for exposed APIs or web services and without writing integration code.

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