Challenges of Information

The explosion of unstructured information such as emails, instant messaging, audio, video, blogs and web pages provides a new richness of information for organizations to leverage for business value and competitive advantage. However, it also introduces new challenges and risks regarding performance management, business operations and compliance and risk analysis. In order for computers to automate the processing of this information, a fundamental shift in computing needs to occur - one beyond legacy keyword search and structured relational databases.

How Does Autonomy Resolve the Challenge of Meaning?

At the heart of all of Autonomy's products lies the Intelligent Data Operating Layer (IDOL). IDOL is an infrastructure software that uses sophisticated pattern-matching techniques and probabilistic modeling to form a conceptual and contextual understanding of all digital information - structured and unstructured - and thus enables computers to process information like humans do by reading, watching and listening to it. Through these advanced analytics, IDOL automates the processing of this content regardless of its format, location, language, or which application is associated with the data. Sophisticated mathematics are applied to derive meaning by determining dominant terms and idea distances.

IDOL sits above an organization's data to perform keyword and conceptual search, speech analytics, video search, email and instant messaging search, and categorization. IDOL's ability to extract meaning from information through an understanding of both the content and context of data allows Autonomy etalk to enrich extracted data based on the knowledge already held within the organization.

With IDOL as a common platform for processing voice, email and chat data for business intelligence, Autonomy etalk's solutions deliver unprecedented speed, access, visibility and analysis capabilities.