Industry Analyst Research Highlights Autonomy's Technology Over Legacy Rules-Based Only Approach
Report Praises Autonomy's Ability to Use Context in Recognizing Relationships Within Information and Cites Limitations of Rules-Based Approaches
San Francisco, Calif.-November 4, 2002- Autonomy Corporation plc (Nasdaq: AUTND; LSE: AU., Nasdaq Europe: AUTN), a global leader in infrastructure software for the enterprise, today announced that Autonomy has been recognized by Giga Information Group (For full report entitled: Autonomy Connects with Homeland Security by Giga Information Group, click here http://www.autonomy.com/analystpapers/GigaAutonomyConnectsWithHomelandSecurity.pdf.) for the company's recent announcement that it will provide 21 agencies of the United States government with the core infrastructure technology for information collection, analysis, routing and retrieval.
The research examines what can be learned from the use of Autonomy's technology within the United States government, most notably, how Autonomy's context-based approach can recognize unknown relationships within information to identify potential security threats. Giga Information Group Vice President Daniel W. Rasmus explains in this report that, "a rules-based or explicit knowledge approach is too costly because rules must be written with the assumption that things are known" and "would require constant rewriting to maintain an explicit view of what is known."
"This research recognizes the importance of managing unstructured data contextually, because it is a more scaleable and accurate method to deal with increasing amounts of information," said Richard Gaunt, chief technology officer and co-founder of Autonomy. "Autonomy's intelligent data operating layer (IDOL) provides that context, as well as the ability to bring together relevant information from disparate sources" he added
Autonomy's unique Intelligent Data Operating Layer (IDOL) integrates unstructured, semi-structured and structured information from multiple repositories through an understanding of their content. Autonomy grants enterprises the flexibility to use advanced information retrieval or legacy-based approaches. At the heart of Autonomy's software is its ability to process text, voice and video and identify and rank the main concepts within them. It then automatically categorizes, links, summarizes, personalizes and delivers that information. Autonomy's technology also drives collaboration across the enterprise and enables organizations to effectively leverage expertise. Autonomy's infrastructure technology is used to automate operations within enterprise information portals, customer relationship management, knowledge management, business intelligence and e-business applications, among others.
About Autonomy
Autonomy Corporation plc (Nasdaq: AUTN; Nasdaq Europe: AUTN; LSE: AU.) is a global leader in infrastructure software for the enterprise. Autonomy's technology powers applications dependent upon unstructured information including e-commerce, customer relationship management, knowledge management, enterprise information portals, enterprise resource planning and online publishing. Autonomy's customer base includes more than 575 global companies, including Hutchison 3G, Channel 4, Deutsche Bank, AT&T, AstraZeneca, BAE Systems, Ford, Ericsson, General Motors, Lucent, Royal Sun Alliance, Sun Microsystems and public sector agencies including the UK Government's Department of Trade and Industry, NASA, the US Department of Defense and the US Department of Energy. Strategic reseller and OEM partners include leading companies such as BEA, Business Objects, Computer Associates, Hewlett Packard, IBM Global Services, Oracle, Vignette and Sybase. The company has offices in North America, Europe, Asia and Australia and is on the Web at www.autonomy.com.
Caution Concerning Forward-Looking Statements
With the exception of historical information, the matters set forth in this news release are forward-looking statements that involve risks and uncertainties. A number of important factors could cause actual results to differ materially from those in the forward-looking statements. These factors include, among others, technology risks, including dependence on core technology; fluctuations in quarterly results; dependence on new product development; rapid technological and market change; reliance on sales by others; management of growth; dependence on key personnel; rapid expansion; growth of the Internet; financial risk management; and future growth subject to risks. These factors and other factors, which could cause actual results to differ materially are also discussed in the company's filings with the United States Securities and Exchange Commission, including Autonomy's Annual Report on Form 20-F and Registration Statements on Form F-1.
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This is a small selection of the Autonomy case studies available, please visit our publications site at http://publications.autonomy.com/ for more information.
Summary: ...iManage Universal Search. Traditional search engines also fail to filter out documents that use the same words, but with an entirely different meaning than the user’s query. Simple keyword search techniques and relevance algorithms are unable to return quality search results, particularly when legacy...
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This is a small selection of the Autonomy Product Briefs available, please visit our publications site at http://publications.autonomy.com/ for more information.
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Summary: ...Computing (MBC). MBC is the ability to form an understanding of structured, unstructured and semi-structured information across the enterprise, recognizing patterns and relationships that reveal what is known and unknown. This understanding allows computers to harness the richness of human-friendly information,...
This is a small selection of the Autonomy White Papers available, please visit our publications site at http://publications.autonomy.com/ for more information.
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