Autonomy Included In Forbes Magazine's "Best Of The Web"
Forbes Joins Delphi, Giga and Ovum in Recent Recognition of Autonomy and its Market Leading Technology
San Francisco, Calif., October 7, 2002 - Autonomy Corporation plc (Nasdaq: AUTN; LSE: AU; Nasdaq Europe: AUTN), a global leader in infrastructure software for the enterprise, today announced that it is included in Forbes Magazine's "Best of the Web" issue, October 7, 2002. Autonomy was recognized as a company that enables key employees to have efficient access to the latest content, either using a unique adaptation of Bayesian algorithms, a mathematical probability theory to organize content like corporate documents, news articles, and e-mails based on pattern recognition or by leveraging existing legacy solutions.
Forbes joins leading analyst firms Delphi Group, Ovum and Giga Information Group, in recognizing Autonomy's market-leading technology. A recent Giga Information Group report highlighted the fundamental need for enterprise utilization of intelligent infrastructure like Autonomy's technology. Ovum research highlighted Autonomy's leadership in providing intelligent infrastructure technology and the analysis and management of large-scale, unstructured data sets and most recently, Delphi Group research cited Autonomy's leadership in taxonomy/classification and advanced retrieval technology.
Since 1999, Forbes has examined the most promising Web technologies in 22 industries that enterprises can profit from using. Companies were chosen this year by Forbes editors based on criteria related to company strategy, execution, financial staying power and the ability to solve important information technology and Web issues.
"Companies realize the importance of a knowledge and information management strategy, and as Forbes notes, they can look to Autonomy to gain efficient access to content and information," said Mike Lynch, Autonomy CEO and founder. "Forbes' recognition of Autonomy's technology and business further validates our leadership position in the industry."
Autonomy's unique intelligent data operating layer (IDOL) integrates unstructured, semi-structured and structured information from multiple repositories through an understanding of the 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 analyze text and voice and identify and rank the main concepts within it. It then automatically categorizes, links, personalizes and delivers that information. 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 550 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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Summary: ...and future needs so we would not have to reinvest in a separate system in several years’ time,” comments Woodall. Using the Autonomy solution and a bespoke retention algorithm, the UNT Health Science Center can quickly determine the storage requirements of all relevant records. As Woodall explains,...
Summary: ...units, and we’ve seen the impact from day one,” reports Khalil. William Buck’s accountants can now easily search, retrieve, and repurpose existing documents, making more efficient use of its information assets. Professionals no longer waste “InterwovenWorkSite has adapted easily to support the...
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Summary: ...administration, integrates paper and electronic records and lets staff create and maintain files.” After conducting a proof-of-concept, the company rolled out HP TRIM software to 200 users at the European research centre. This reliable and adaptable application offered end-users effortless functions...
Summary: ...enable professionals to benefit from centralized firm knowledge while avoiding excessive latency ■ Automated profi ling improves search and navigation for efficient access ■ WorkSite Communication Server and Outlook integration give users an easy way to distribute and correctly file email-based content...
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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: ...mathematical hash functions. Once it has identifed two chunks of data as identical, the system will replace the duplicate with a link to the original chunk. There are two architectural approaches to chunking. A fxed deduplication algorithm breaks data into blocks of a fxed size. Variable chunking groups...
Summary: ...entitlement checking and secure encrypted communication between the IDOL Server and its client applications, with 128-bit Block Tiny Encryption Algorithm (BTEA). IDOL’s mapped security model is the only empirically proven index security model that scales in the enterprise. Since IDOL's architecture...
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...
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...
Summary: ...teams. Sophisticated analytics enable counsel to quickly organize and interact with the most appropriate data for faster legal decision-making and more efficient workflow Advanced Organizational Capabilities – Autonomy Stratify Review automatically groups documents and emails together by matter-specific...
Summary: ...of such regulations as Sarbanes-Oxley (SOX) and amendments to the Federal Rules of Civil Procedure (FRCP), nor does it meet the need for efficient, fast and secure information retrieval and analysis across the full range of content. Autonomy, a global leader in infrastructure software for the enterprise,...
Summary: ...in which operations across applications and content are automated, removing all the manual processes involved in getting the right information, to the right people at the right time. IDOL makes enterprise systems "data-agnostic", therefore providing automated efficiencies never experienced before. Autonomy...
Summary: ...Autonomy Document Management Server Technical Brief. Relevance Ranking In evaluating all types of queries, IDOL Server employs complex algorithms based on a combination of Information Theory and Bayesian methods to automatically weight and rank the document returns by statistical relevance. Automatic...
Summary: ...built in. When one node fails, the B6200 automatically swaps to a second node and HP Data Protector software will automatically restart the backup job on the surviving node. More efficient data management The StoreOnce deduplication engine uses an extremely efficient Adaptive Micro-Chunking technique...
Summary: ...As a result, it can relate this document to other content about the lunar landings and distinguish it from articles on the bird of prey. IDOL Eduction does not require any previous training to achieve this. The core engine is mathematical and can identify entities and the relationships between them automatically....
This is a small selection of the Autonomy Product Briefs available, please visit our publications site at http://publications.autonomy.com/ for more information.
Summary: ...summarization, taxonomy generation, clustering, eduction, profiling, alerting and retrieval. Autonomy’s IDOL server is built upon the seminal mathematical works of Thomas Bayes and Claude Shannon, as well as on a range of innovations that are covered by 170 patents. Autonomy technology identifies the...
Summary: ...begins with a blank slate and allows incoming data to dictate the model. In true Bayesian fashion, the model mixes new information with a growing body of older content to refine and retrain the engine. Shannon's Information Theory Shannon's Information Theory forms the mathematical foundation for all...
Summary: ...Autonomy Internationalization White Paper 20031003. • Does the architecture or delivery mechanism of that core algorithm make assumptions about language constructs, the digital representation or encoding of symbols? That is, is the technical way the algorithm is realised bound by assumptions of the...
Summary: ...Unrivalled accuracy by understanding words in context Speaker and audio segmentation, speaker recognition and classification, and audio/ text synchronization Automatic capture, encoding and indexing of video and audio content Automatic generation of metadata—no need for manual tagging 3-D facial recognition...
Summary: ...clustering, to form them. It understands that there is an X probability that the content in question deals with a specific subject by studying the preponderance of one pattern over another. IDOL is built on algorithms rooted in Bayesian Inference and Shannon’s Information Theory. With Bayesian Inference,...
Summary: ...and preserves the integrity of metadata • High-performing retrieval engine that searches all files in its entirety to return the most complete set of results (no “jump-out”) • Advanced search algorithms, including conceptual search combined with other legacy methods • Language independence for...
Summary: ...Autonomy User Experience White Paper. Legacy searches would fall short of adequately harnessing the true value of this prominent collection owing to the inability to access multiple databases and at the same time provide users with high performance and accurate retrieval. The National Archives selected...
Summary: ...on popularity or keyword matches or other legacy algorithms, but tailors the results to the user’s purpose and to the specific query, making search more effective and efficient. The user can further enrich their findings by using Autonomy’s many advanced information processing operations to guide...
Summary: ...workings and underlying theory. Autonomy’s approach is based on a unique combination of technologies with theoretical underpinnings that can be traced to Bayesian Inference and Claude Shannon¹s Principle of Information. Bayes Theorem has become a central tenet of modern statistical probability modeling....
Summary: ...and structured data be it visual, auditory or alphanumeric in character. At its core, the technology uses a combination of Bayesian Inference and Shannon’s Information Theory to automatically extract the key concepts from any piece/s of information. As a mathematical platform, it is not constrained...
Summary: ...security to Fortune 500 companies. The Foundations of IDOL Autonomy's strength lies in a unique combination of technologies that employs advanced pattern matching techniques, using Bayesian Inference and Claude Shannon's principles of information theory.
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Summary: ...Proven Leader for Intelligent Archiving With over 24% market share in email archiving and as owner of the world’s largest private cloud, Autonomy's leadership in information governance, ability to understand meaning and broad set of legal and regulatory solution modules set Autonomy Consolidated Archive...
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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