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: ...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: ...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: ...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: ...flow chart of the various business processes, from developing a product to actually servicing a customer, to determine where efficiency could be increased. The focus of this effort quickly narrowed to the first point of contact with a customer. “The call center is obviously a big part of that,” says...
Summary: ...Australian National Audit Office Case Study. Case Study “Interwoven created the only proof of concept that was able to stand up quickly and remain stable. The others efforts crashed repeatedly. We found Interwoven’s solution to be user friendly, stable, easy to understand and within minutes staff...
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: ...were inefficient due to a redundant flow of paper forms throughout the organization. These inefficiencies impacted employee morale and productivity and resulted in an inability to be fully competitive with private industry in recruiting and hiring high-caliber employees. For example, supervisors had a...
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: ...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: ...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: ...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: ...data universe by custodian, keywords, or other Boolean queries of their choice. Faceted Search – Using innovative, meta data-based faceted search, counsel can “slice and dice” large data sets in real time to easily identify and analyze meta data-based search “facets” covering email domains,...
Summary: ...video, databases, text, images and web-based sources. The ability to correlate and crossreference data stored in a plethora of formats and in multiple information silos allows you to adopt a proactive approach to monitoring operations. Distinct concepts, behaviors, and potential threats are exposed within...
Summary: ...growing area of Meaning Based Computing (MBC). MBC refers to the ability to form an understanding of content and recognize the relationships that exist within it. MBC extends far beyond traditional keyword searching to provide and a contextual understanding of the entire corpus of raw and production data....
Summary: ...and global support that they now expect from the rest of their IT infrastructure.” IDC also notes that enterprise search users need more semantic analysis in the form of entities, location, relationships, concepts, etc. They also list the top four reasons for investing in enterprise search as:
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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: ...optimized for fast processing and retrieval. At the information processing layer, IDOL forms a conceptual and contextual understanding of all monitored content, automatically analyzing any piece of information from over 1,000 different content formats. Over 500 operations can be performed on digital content...
Summary: ...limitless combinations of copy, offers, layouts, and other factors to determine the best design. The testing can also be done by customer segments, since different images and concepts will impact certain audiences differently.
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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...
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: ...a new search result based on that idea. Eduction IDOL automatically extracts entities for parametric filtering. When the search result is displayed, users can easily drag-and-drop different parameters to combine facets, remove facets, or re-order facets. No administrative involvement is required. The...
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: ...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: ...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: ...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: ...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: ...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: ...patterns that naturally occur in text, voice or video files based on the usage and frequency of terms that correspond to specific concepts. This enables IDOL to build a precise probabilistic map of the different concepts held within a piece of data. Using this concept map, IDOL can work out the conceptual...
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...
Summary: ...allow analysis of concepts and ideas within a corpus of information. The Autonomy Intelligent Data Operating Layer (IDOL) applies Meaning Based Computing (MBC) and advanced algorithms to enable computers to understand the conceptual and contextual meaning of documents—a capability that greatly enhances...
Summary: ...semi-structured, unstructured, transactional and archived—in a single IDOL index, enterprises are given a unified, holistic view of the entire enterprise knowledgebase 2 Addressing the Information Governance Challenge and can realize relationships that lead to consistent enforcement of governance policies,...
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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