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Introduction | | | Meaning-Based Computing | | | The Meaning of Success |
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Meaning-Based Computing (MBC)
Autonomy is the acknowledged leader in the rapidly growing area of MBC. MBC refers to the ability to form an understanding of all information, whether structured, semi-structured or unstructured, and recognizing the relationships that exist within it. Through sophisticated functionality and analytics, MBC automates manual operations in real-time to offer true business value.
How is Meaning-Based Computing Different from Traditional Methods Like Keyword Search?
MBC extends far beyond traditional methods such as keyword search which simply allow users to find and retrieve data. Keyword search engines, for example, cannot comprehend the meaning of information, so they only find documents in which a specific word occurs. Unfortunately, this inability to understand information means that other documents that discuss the same idea (i.e. are relevant) but use different words, are often overlooked. Equally, documents with a meaning entirely different to that which the user searches for are frequently returned, forcing the user to alter their query to accommodate the search engine.
While Autonomy offers and acknowledges the importance of keyword technologies, it is its advanced capabilities that have allowed it to excel. Some of the key functionality of MBC such as automatic hyperlinking and clustering are simply not available in keyword search engines. For example, automatic hyperlinking which connects users to a range of pertinent documents, services or products that are contextually linked to the original text, requires that the meaning of the original document is fully understood. Similarly, for computers to automatically collect, analyze and organize information, computers have to be able to extract meaning. Only MBC systems can do this.
By providing a pan-enterprise software infrastructure that automates advanced operations, Autonomy presents customers with a compelling value proposition. In essence, by forming a conceptual and contextual understanding of any piece of data, including text, voice and video, regardless of data type or storage location, and performing advanced operations on that information in real-time, Autonomy enables organizations to penetrate their information silos, derive maximum value from their corporate assets and boost productivity while at the same time minimizing the risks endemic to information proliferation.
Who is Using Meaning-Based Computing?
More than 17,000 blue chip enterprises and government agencies, and 350 OEMs rely on the powerful pattern matching algorithms in Autonomy's products to extract meaning from unstructured information.
For example, the US Department of Homeland Security relies on MBC across 21 agencies to monitor suspected terrorist groups, create a consolidated terrorist watch list, and alert authorities in real-time to potential terrorist activity. The Ford Motor Company uses MBC to transform the text, audio and video files in its research libraries to meaningful reference material so more than 150,000 employees can get up to speed on new projects. Zurich Financial Services, with offices in more than 60 countries, utilizes MBC to prioritize research from more than 500 sources so risk managers can uncover potential threats and opportunities.
Other companies already benefiting from MBC include: BAE Systems, Boeing, Ford, DaimlerChrysler, Shell, AOL, BBC, Reuters, 3, Ericsson, T-Mobile, Coca-Cola, Kraft Foods, Nestle, Lloyds TSB, GlaxoSmithKline, KPMG, Citigroup, ABN AMRO, Deutsche Bank and the US Securities and Exchange Commission.
The Evolution of Search| Autonomy |
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Introduction | | | Meaning-Based Computing | | | The Meaning of Success |
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