top of page
sub_visual_01.jpg

IBM PRODUCT

​스펠릭스 빅데이터 솔루션은 미래를 보는 창

IBM Datacap

product_bg.jpg
product_img4.png

IBM Datacap

Streamline the capture, recognition and classification of business documents

Document capture for the cognitive era

IBM® Datacap helps you streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, like those in IBM Watson, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper costs, deliver meaningful information and support faster decision making.

product_icon_1.png

Advanced data capture

Supports scanners, fax and digital files (such as PDF) as well as images from applications and mobile devices.

product_icon_1.png

Adaptable rules-based capture

Offers configuration of capture workflows and applications using a simple point-and-click interface to speed deployment.

product_icon_2.png

Cognitive processing

Uses machine learning to automate the processing of complex or unknown formats, as well as highly variable documents that are difficult to capture with traditional systems.

product_icon_2.png

Role-based redaction

Enables documents to be redacted automatically, based on the role of the requester, blocking out information according to a user's specifications.

product_icon_3.png

Export to other targets

Enables you to export documents and information to a range of applications and content repositories from IBM and other vendors.

product_icon_3.png

Role-based job filtering

Automatically divides content ingestion workflow using role-based job filtering capabilities to improve productivity.

"CPLEX 엔진은 매우 복잡하고 우수하게 설계된 솔루션 프로그램입니다. 지난 몇년간 CPLEX를 통해 다른 패키지에서는 해결할 수 없었던 문제점을 해결하는 것을 확인했습니다.

William R. Pulleyblank

SHOP NOW

​고급 분석, 책임자

FleetPride

bottom of page