Break down data silos with out of the box access to over 150 repositories. Access data in virtually any format with support for over 1000 file types. All whilst complying with native document security models.
A distributed, modular architecture allows multiple instances of dedicated handlers to manage query-time traffic and document indexing in real-time. Discover how Quest Diagnostics uses IDOL to unlock the data in 3.4bn documents.
IDOL uses AI to learn from your data, and to identify key concepts and their relationships with other concepts within the dataset to deliver contextually relevant search results.
Bi-directional data connectors for content synchronization and governance allow access to over 150 repositories. IDOL’s KeyView, for over 1000 file formats, detects file type without filename extensions; extracts text, metadata, and other content; and provides high-fidelity viewing and printing.
A distributed, modular architecture allows multiple instances of dedicated handlers to manage query-time traffic and document indexing in real-time.
Hundreds of Artificial Intelligence (AI) powered functions such as conceptual search, categorization, personalization, clustering, summarization, image recognition, speech recognition, language detection and speech-to-text.
Review your GSA environment, explore possible options and determine the best path forward
As we utilize IDOL in our HPCA/HPeD environment we are able to provide extremely accurate and quick search results which mean our customers can then move onto providing their legal department with the information required to defend their positions in legal cases.
With Micro Focus, we are well-positioned to meet the diverse requirements of the different administrative departments. The Micro Focus IDOL solution is reliable, future-proof, and a safe investment. It is incredibly flexible, meaning we can use it in a broad range of applications.
What is exciting about information governance is that data types and repositories are always evolving. IDOL and KeyView have always stayed relevant with development to accommodate these new data types.