Micro Focus

IDOL

Unified text analytics, speech analytics and video analytics

AI for enterprise search, chatbots, government open source intelligence and unstructured data analytics

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IDOL

Don’t miss out on information that matters

IDOL uses artificial intelligence (AI) to deliver text analytics, speech analytics, video analytics and unstructured data analytics on an extremely diverse set of file formats across an exhaustive range of data repositories. With this world-class breadth of data analytics coverage, IDOL supports applications ranging from enterprise search to open source intelligence and chatbots. It enables a real-time focus on the most valuable data within a vast sea of irrelevant or low priority of information.

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Harness virtually all types of data

With connectors for over 150+ data sources and support for more than 1,000 data types, you can access virtually any data within and beyond your network’s firewall. Quickly index data without the need for relocation or disruption.

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Unified analytics for text, video, image and audio

Leverage artificial intelligence (AI) to generate actionable image, audio, video and text analytics insights. Create value by unlocking patterns, trends, and relationships across your entire library of unstructured data.

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Enterprise grade security

Use strong data access protection to make sure the right data gets to the right people. Preserve and stay up-to-date on security authorizations without compromising performance.

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Intelligent data discovery

Find the most relevant data from virtually any source including the Dark Web. Utilize the dynamic AI-powered and data-led discovery.

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Virtual assistant for automated information services

Increase productivity with natural language based search and knowledge discovery. Support for diverse responses such as FAQ-type answers, facts and conceptually relevant passage extraction.

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Personalized knowledge discovery

Use the latest technology in machine learning and Deep Neural Networks to quickly learn about what matters the most with custom knowledge delivery and text analytics based on user profiles and actions.

Micro Focus IDOL is a leader in The Forrester Wave for AI-Based Text Analytics Platforms

This report shows how Micro Focus IDOL measures up against its key competitors. It helps application development and delivery (AD&D) professionals working in the text analytics space make the right choice.

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With IDOL, we can understand virtually any content type, including audio and video, to get more value from all our information. Which is a benefit from the industry’s broadest range of analytical functions to address all forms of data challenges.

Mithun Midday — APPLICATIONS MANAGER
Schneider Electric

IDOL has helped us automatically search for and extract key concepts from a massive amount of text, video, and audio data on a daily basis. This has significantly enhanced user experience and productivity and quality of information, and reduced operating costs.

Zhou Qing — RESEARCH AND DEVELOPMENT ENGINEER
Xi’an Panorama Data Co., Ltd.

As we utilize IDOL in our HPCA/HPeD environment, we are able to provide extremely accurate and quick search results, which means our customers can then move on to providing their legal departments with the information required to defend their positions in legal cases.

Gordon Williams — ENGINEER
Rand Worldwide

IDOL has helped to converge massive departments into one and provides a single point of Enterprise search platforms for all of the department. This has significantly enhanced the user search experience and saved on development cost for individual departments.

Huan Shean Yip — CHIEF TECHNOLOGY OFFICER
AimForce Sdn Bhd
How to gain a competitive edge with 80% of your data.*

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Quest Diagnostics empowers healthcare providers with IDOL

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IDOL data sheet

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Related Products, Solutions, and Services
File filtering: KeyView
Data connectors: Micro Focus IDOL Connectors
Video surveillance, image and audio data: Rich Media Analytics
IDOL features: Text Analytics
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release-rel-2019-7-1-2248 | Wed Jul 10 03:59:45 PDT 2019
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release/rel-2019-7-1-2248
Wed Jul 10 03:59:45 PDT 2019