As a pioneer of the Meaning Based Computing (MBC) movement, Autonomy is a recognized leader in solving the difficult problem of analyzing unstructured content. But what about the rest of data in business applications, where a substantial amount of enterprise intelligence resides? Due to the challenge of processing different types of content in a siloed environment, most enterprise search vendors leave the processing of structured data to Business Intelligence (BI) technologies. However, maximizing business intelligence requires the proper integration and combined analysis of these disparate content types.
For the heterogeneous enterprise that holds many sources of data, Autonomy's mature connector framework supports over 400 repositories to enable search across the entire enterprise corpus from a single interface. This allows for an unprecedented picture of the organization's information assets in one view. Autonomy supports structured data with the same level of intelligence, flexibility and precision as it does unstructured content, preserving complex relationships and automatically correlating relevant content by extracting concepts and entities from all data types.
Unified Information Access
By storing all content - structured, semi-structured, unstructured, transactional and archived - in a single IDOL index, users are given a unified, holistic view of the entire enterprise knowledgebase and can realize relationships that lead to increased productivity, reduction in duplicate work, and other significant cost-saving benefits. This unified architecture enables automatic and rapid linking of information to be formed between all formats, multimedia, records and many others.
Content analytics
IDOL provides over 500 advanced functions that enable intelligent interactions between all data formats, the following is a small sampling:
Automatic Entity Extraction (Eduction) – One of the methods IDOL uses to correlate unstructured content with structured data is entity extraction. IDOL can automatically identify key entities in unstructured content (e.g. name, date, SSN, location) and use this information to link with structured data. Autonomy's eduction module is designed to perform these extractions intelligently by using context to understand that "Lion and Lamb" in one context refers to two animals, and in another context, a name of a bookstore.
Conceptual Data Analysis – MBC can also reach conceptual, probabilistic conclusions for the relationships that exist between different entries across different systems. This can then be compared with unstructured data for related information. For example, the system can automatically realize from flight database entries that passengers who fly from NY to SFO sometimes fly via Oakland. This understanding can then be combined with unstructured processing of passenger comments that indicate the passengers' positive sentiment to flying via Oakland because of in-seat entertainment. An understanding can be formed by analyzing the distributions in the structured data and combining them with the concepts derived from unstructured content.
Automatic Hyperlinking – IDOL allows manual and fully automatic linking between related pieces of information regardless of format. These link to contextually similar content and can be used to recommend related articles, documents, affinity products or services, customer profile in a database, or concepts within voice and video mail.
Visuals – Search results are presented in a dashboard-like UI, combining structured, semi-structured and unstructured content. Users can quickly see the relevant documents, websites and domain experts, as well as view charts, diagrams and spectrographs from databases in a BI-like fashion.
Clustering – IDOL can take a large repository of data and automatically partition it so that similar information, even of varying formats, is clustered together. Each cluster represents a concept area within the knowledge base, making it easier for organizations to identify inherent themes and discard irrelevant batches of content.
Faceted Navigation – IDOL automatically identifies the main facets (from structured and unstructured content) to be navigated to narrow down results or focus the search.
Automatic Taxonomy Generation – Autonomy can leverage any existing taxonomy where metadata, structure, or ontology of terms defines a hierarchy of categories. For example, a directory structure of files on disk can be used to generate a corresponding taxonomy of categories. XML taxonomy files, sets of meta-tags, or data structured in tables in a database can be leveraged to define example sets and their corresponding taxonomies.
Summary: ...Hyperlinking feature suggests pertinent documents that are contextually linked to the original text thus ensuring that professionals have complete visibility over all relevant corporate content. • Automatic Eduction to automatically extract entities in a piece of information such as organization, people,...
Summary: ...that the users are looking for always appear at the top of the result set. IDOL’s ability to automatically categorize and correlate knowledge assets based on concepts ensures that users can quickly identify tacit patterns and relationships between documents belonging to diferent clients and matters....
Summary: ...looking for a better way to manage these records. According to Gary Pettigrove, chief information offcer at the ANAO, “We wanted to get away from a paper-based records system and create a document workflow that would link recommendations back to the evidence in our audits. We also wanted to provide...
Summary: ...La Voz de Galicia - Case Study. [20120914_CI_CS_LaVoz] Autonomy’s unique ability to automatically aggregate information from a variety of different sources, analyzing patterns and identifying concepts within the data, enabled La Voz de Galicia to achieve their goal of retrieving information with the...
Summary: ...as engineers, programmers and technicians. Thomas M. Menino, Mayor of Boston, creatively addresses the needs and challenges that the city faces, including efficient management of resources, budget and internal business processes. The Challenge As a government entity with 19,000 employees across 43 departments,...
Summary: ...systems automatically and provide the FastScore export to the NY State data warehouse. The benefts HP Autonomy’s ability to extend TeleForm to meet a niche business need has resulted in dramatically lowering the total cost of ownership and realizing a rapid return on investment at BOCES. Additional...
Summary: ...teams, including property personnel and our own internal design studio. By syndicating assets and enhancing collaboration across multiple channels, we can realize new synergies and realize even greater value from our investments,” says Mohn. Solution Overview/Driving Growth with Virage MediaBin Virage...
Summary: ...work. This unified architecture, visible through a single dashboard, enables automatic and rapid linking of information with innovative analytics features which have added an unprecedented level of intelligence to KLA’s data access and processing. For example: 3 • Conceptual Search retrieves documents...
Summary: ...We saw a significant increase in every one of our core measures, sometimes of more than 100 percent.” Multivariable testing with Autonomy Optimost revealed core design principles that now inform all of ThomasNet’s site design and development. For example, plain text links have been found to consistently...
Summary: ...Radioplayer - Autonomy Case Study. IDOL could be used to power search based on concepts, as opposed to keywords or the successive selection of metadata parameters (parametric search), or to analyze search results by grouping and interlinking them into clusters based on the similarities of their ideas,...
Summary: ...State of Oregon embraces HP TRIM software for statewide cloud-based records management - case study. Objective Leverage technology to enable transparent, efficient records management with lowered risk and costs for all public entities throughout the State of Oregon. Implement Solution as a Service, enabling...
Summary: ...law, and business and commercial matters. One of the region's fastest growing firms, Laborde & Neuner serves some of the nation's premier insurance companies and oil and gas–related entities, as well as many national corporations, small businesses, and individuals. The Need Perform cloud-based eDiscovery...
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: ...visible. Spectograph This user interface displays the relationships between clusters in successive periods and sets of data. Clusters are presented as a JSPbased spectrograph, whereby the x-axis represents information over a given time period, while the y-axis represents the range of concepts defined...
Summary: ...customer interaction data so that similar information, even of varying formats, is clustered together to identify inherent themes, and discard irrelevant batches of content. • Related concept generation and idea distancing – Automatically categorize concepts in relationship to one another by identifying...
Summary: ...some of the companies in the world can spend less time on document management and more time analyzing relevant evidence and collaborating on their case strategy. For example, the second largest retailer in the US uses Introspect Review and Production hosted services to enable over 20 law firms and legal...
Summary: ...and review all forms of ESI, including audio and video and provide advanced, in-depth analytics. Autonomy Stratify Review automatically sorts documents into mater-specific concept folders, analyzes emails between senders, receivers and hidden intermediaries and allows for random sampling of any documents...
Summary: ...ability to identify and extract elements from content based on predefined grammars and rules. It also permits custom entities to be built and deployed to meet specific objectives. In order to determine the primary entities within a story, entities can also be compared with other concepts covered within...
Summary: ...visualization techniques like concept clouds and clustering, and can automatically group conceptually related, unstructured information. As documents are previewed via the web interface, users are immediately presented with links to documents that are conceptually similar to the one being previewed. IUS...
Summary: ...from Autonomy’s Intelligent Data Operating Layer™ (IDOL), the market-leading enterprise information processing platform that uses Meaning Based Computing (MBC) technology to form a conceptual and contextual understanding of over 1,000 file formats. IDOL’s scalability, connectivity, and conceptual...
Summary: ...to view, analyze and manage data in place while also enabling outside counsel to have secure, targeted access to their client’s data. Solution Brief Harnessing the Power of Meaning Autonomy is the acknowledged leader in the rapidly growing area of Meaning Based Computing (MBC). MBC refers to the ability...
Summary: ...and manual user tagging. By leveraging the powerful conceptual search capability of IDOL, Universal Search goes far beyond simple search to provide users with contextually relevant results, automatic categorization, automatic hyperlinking, faceted navigation, audio and video search to provide the most...
Summary: ...offers a full spectrum of advanced analytics operations and visualization tools, including multi-dimensional data clustering, tracer maps, and message link maps. • Leveraging IDOL, all content, including attachments, can be rendered via a web-based interface without the need for the native applications,...
Summary: ...based on users’ profiles and search history. By monitoring live data feeds, CEP automatically provides targeted results in real time to improve intelligence operations and response times. • Data fusion: CEP can understand the meaning of virtually any form of information and find links between seemingly...
Summary: ...pattern-matching techniques to enable computers to understand information in context. For the first time, a computer can go beyond keywords and meta-data to identify concepts within the text itself to determine which are the most important and to automate the processing of this content, regardless of...
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: ...with the same level of intelligence, flexibility and precision as it does unstructured content, preserving complex relationships and automatically correlating relevant content by extracting concepts and entities from all data types. Support for Structured Data IDOL natively offers an array of search,...
Summary: ...documents, affinity products or services, or concepts within voice and video mail. Because links are automatically inserted at the time a document is retrieved, they can include references to documents and articles written long before, or hyperlinks from archived material can link to the latest news or...
Summary: ...taxonomy generation, clustering, eduction, profiling, alerting and retrieval. 3 “The Truth About Computer Assisted Review”: Concept Clusters Workfow Example, Thomson ARMA CLE, June 26, 2012. 4 Gartner in Magic Quadrant for E-Discovery Software, 24 May 2012, also reports, “In 2011, increased emphasis...
Summary: ...Autonomy Whitepaper - The Power of Autonomy IDOL. Hyperlinking suggests content that is contextually linked thus ensuring clients have full visibility over related content; information clustering provides a bird’s eye view of data grouping similar items together to spot new or hot trends and topics;...
Summary: ...because they can get a more complete view of the customer and overcome channel biases that arise when analyzing a single channel or touchpoint. For instance, analyzing only call recordings creates a bias towards people that are more inclined to call the company rather than self-serve online. These people...
Summary: ...results • Eduction – to automatically obtain metadata, contextual meaning and relationships between different data, without the need to read through each document • Conceptual Retrieval – to find documents that are conceptually relevant, through natural language query, or using a text as example...
Summary: ...platforms such as automatic hyperlinking and clustering are not available in traditional keyword search engines. For example, automatic hyperlinking, which connects users to a range of pertinent documents, e-mail messages, voice or video files that are contextually linked to the original text, requires...
Summary: ...or generated on the fly as the item is saved. If no such metadata exists, you finding it, or may not be able to find it at all. Business white paper | Transitioning to a new era of human information 7 This issue is not an easy one to solve without human involvement. For example, how can software tell...
Summary: ...bringing meaning to all data, regardless of its location, source or format. With sophisticated functionality and analytics, MBC automates manual operations in real time to offer measurable business value. Delivering the power of MBC into the organization is the heart of Autonomy's infrastructure software:...
Summary: ...simply takes the English concept in the query and matches it to any relevant concepts found in the English content. The results are therefore in English. In this case, if a Spanish query was made you would not get any results as the terms in IDOl server™ are in English with no Spanish concepts to match....
Summary: ...exchange. Autonomy developed a technology that addresses both issues: Autonomy IDOL serverTM’s conceptual understanding enables it to automatically insert XML tags and links into documents, based on the concepts contained in the information. This eliminates all manual cost. Secondly, IDOL server enables...
Summary: ...before EAS) and the savings realized “After Archiving Solution” (after EAS), we will provide an example ROI calculation to tie both components together and put real dollar figures to the savings. The following example analyzes the ROI achieved in a 5,000-mailbox organization running in a Microsoft...
This is a small selection of the Autonomy White Papers available, please visit our publications site at http://publications.autonomy.com/ for more information.