Autonomy IDOL SPE represents a radical shift in processing data from the database. The product is a dynamic, self-learning solution that can automatically make connections in the data by understanding the meaning that resides within it.
IDOL SPE transforms the RDBMS into a next-generation probabilistic inference engine by:
Breaking out of a black and white world to understand the "shades of grey" in the data
Rendering "no exact match" a problem of the past by automatically spotting patterns in the data to make accurate predictions and identifying nearness
Ensuring delivery of relevant, personalized results by automatically detecting patterns in data within heterogeneous sources and incorporating information gleaned from users' interactions with the data
IDOL SPE leverages results from interactions, usage, and datasets to continually refine and perfect understanding of the data space. This self-learning capability is extremely valuable in a business context, as organizations can leverage the insights to continually improve processes, operations, and interactions with customers.
Patterns of Data
IDOL SPE enables computers to replicate the human ability to intelligently recognize and understand complex patterns in data automatically, which can in turn be used beyond the confines of the structure imposed by the source of data. IDOL SPE can thus break out of the restricted scope of the structured query that limits traditional database technologies, and relate n-dimensional structured objects to one another conceptually, even where no direct field match exists or when they belong to entirely different databases.
Patterns of Usage can inform the space
Patterns of Usage
Businesses fail to capture and leverage many user interactions with data in a meaningful way. Only the final transactional behavior is recorded and logged into business applications. IDOL SPE recognizes the importance of user behavior and uses both potential and committed behavior patterns to inform its descriptive space. All user interaction can be incorporated to automatically evaluate community trends as well as individual user trends.
For instance, an airline can leverage IDOL SPE to improve online customer experience and increase sales. A customer searching for a flight from New York to San Francisco at a date and time when all flights are sold out will be automatically offered an alternative nearby airport such as Oakland or San Jose, rather than returning "no results" to the customer's search. IDOL SPE infers the result from patterns in the data and its usage without the need for formulas, scripts, or other means which require prior knowledge of cases and exceptions.
"As organizations renew themselves to come out of a recession, IDOL SPE may be just the sort of disruptive technology they need."
Mike Davis, Senior Analyst, Ovum, 2009
Going Beyond Legacy Technologies
While legacy technologies will likely continue to serve as the predominant stores for structured information, the methods for analyzing this business-critical information is changing.
With IDOL SPE, probabilistic modeling surfaces patterns in the data without prescriptive prior knowledge, and enables these patterns to be used in direct interaction with business functions. This greatly reduces the amount of manual scripting for its creation and maintenance, as well as allowing broad new insights to be illuminated.
IDOL SPE becomes even more powerful and indispensable when complex scenarios with multiple disparate databases are involved. In these cases, IDOL SPE can identify patterns across the sources with no need for expensive data warehouses or BI-type integrations. Legacy solutions are ill-equipped and prohibitively expensive for performing such sophisticated operations.
Recognizing its value in certain cases, IDOL SPE fully supports traditional methods used by BI applications. Simple and complex SQL queries (e.g. FIND, JOIN, ORDER BY, SELECT) can be entered to pinpoint and manipulate search results, or parametric searches can be performed based on defined metadata, as is often done in eCommerce applications.
When no exact match is found, IDOL SPE can automatically relax the query to find near matches
How is IDOL SPE different to Business Intelligence (BI)?
Databases can miss subtleties before feeding information off to be analyzed by BI systems, for example two data sets may produce the same end result; that dog owners prefer dogs to cat owners, however subtleties in the data can be missed. Such as, the cat owners in Set A liking dogs over 80%, but not reaching the 100% match of the dog owners, is not the same as Set B, where cat owners only like dogs 20%. This information could be very useful for an ad campaign designed to target cat owners.
With IDOL SPE it is the data itself, rather than the output of an arbitrary schema or system of logic that is analyzed. This leaves no room for subtlety to be lost. IDOL SPE is able to function as a standalone module or as an add-on to the existing RDBMS infrastructure, to provide answers in response to traditional structured SQL queries as well as probabilistically, applying contextual intelligence to the raw data.
IDOL SPE has diverse applications as it removes the need to create and update complex rules and scripts, or to have a human being in attendance to suggest best alternatives. IDOL SPE allows the enterprise to extract maximum value from structured data and eliminate missed opportunities.
Summary: ...target markets by geography and audience demographics. Leadsplease.com incorporates 300 million consumers, businesses, homeowners and recent movers provided by industry-leading market data source, Experian. The Web-browser-based application generates SQL queries of the data in response to the user’s...
Summary: ...10% of the production data loaded. The Solution The company’s search for a more robust database led it to the Vertica Analytic Database. The database is a high-speed, relational SQL database management system (RDBMS) purpose-built for high-speed analytics and business intelligence. It uses a column-oriented,...
Summary: ...chose a combined solution from Vertica and Tableau Software. The Solution The Vertica Analytic Database is a high-speed, relational SQL database management system (RDBMS) purpose-built for analytics and business intelligence. Tableau provides fast visual data analysis and business intelligence tools that...
Summary: ...market analytics Benefits • Ad hoc querying of detail data in billions of records – no cubes or summary tables required • 100X -100,000X faster than traditional RDBMS • Programmers can create new reports in minutes not days, using SQL skills – has been able to retire much of its Java code • Can...
Summary: ...specific phrase.” IDOL K2’s virtually unlimited scalability proves especially advantageous. Both the traffic to the ACM Portal and the amount of content on it are growing fast. IDOL K2’s brokered architecture ensures optimal performance—even during peak usage times, whereas ACM’s legacy search...
Summary: ...Vertica Case Study: NetworkIP. Broquie and his team, which includes three seasoned database administrators (DBAs), knew from experience that a traditional relational database system (RDBMS) couldn’t provide the required performance without making a prohibitively large investment in DBMS server hardware....
Summary: ...RJ Hart Case Study. Case Study Industry Accounting Challenges ■ Centralizing the storage of all documents on one system rather than over disparate servers and workstations ■ Ease of access to vast amounts of content enabling collaboration ■ Eliminate problems associated with paper documents such...
Summary: ...is then analyzed by the computer so that all relevant information is automatically cross referenced and brought up on screen. In this way call takers are able to direct their questioning more efficiently to reduce call-handling figures and ensure that information is gathered more effectively. Future uses...
Summary: ...out from the alternatives. Further simplifying the frm’s decision, because Universal Search is built upon the same search technology that is currently embedded in the latest version of WorkSite, it was easy to extend the reach beyond their existing WorkSite libraries to their other enterprise content...
Summary: ...Listening skills • Empathy • Calming upset members • Service Recovery Most importantly, agents learned to address member concerns prior to proceeding with the order process. One aspect of the eLearning modules consisted of providing agents with recommended script examples that included apologizing....
Summary: ...the ability to get orders to the shop floor that much quicker and fulfill orders that much sooner,” said Bob Herold, MIS director at Bruno. “We have made significant steps in increasing our customer service capabilities by adding custom work queues and notes to each work order making it nearly impossible...
Summary: ...the ability to get orders to the shop floor that much quicker and fulfill orders that much sooner,” said Bob Herold, MIS director at Bruno. “We have made significant steps in increasing our customer service capabilities by adding custom work queues and notes to each work order making it nearly impossible...
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: ...Autonomy IDOL Structured Probabilistic Engine. IDOL SPE infers the result from patterns in the data and its usage without the need for formulas, scripts or other means which require prior knowledge of cases and exceptions such as is the case here with geographic information. Going Beyond Legacy Technologies...
Summary: ...of legacy keyword technologies. Integrated Search and Investigation Capabilities Supervision is no longer a static exercise of merely reviewing a set of emails sampled by the system or triggered by a policy. Firms today must have the ability to go beyond the initial set of information provided in a review...
Summary: ...and retention periods need no longer be set by arbitrary time periods; relevant material can automatically be classified based on the substance of the content, and researchers can identify patterns, hidden custodians, and privileged and relevant content without the constraints of legacy keyword technologies....
Summary: ...business users. It provides a robust set of wizards and graphical interface-based tools to simplify the management of specific functions. By configuring applications through the Autonomy Business Console, overseers, product managers and group marketing teams can react quickly to changing usage patterns...
Summary: ...content • Automatic suggestion of alternative queries • Site agents • Agent creation from results • Fast query speeds IDOL Retina™ is a simple enterprise search solution that provides a full spectrum of retrieval methods, from simple keyword search to advanced conceptual matching, in one easy-to-use...
Summary: ...of each patient. In addition, Bayesian inference technology is an ideal fit for healthcare because it allows the medical community to contribute themselves and leverage insights from their colleagues – incorporating their vast knowledge and expertise in the same system. As the world’s leading provider...
Summary: ...with visual navigation and cluster drill-down E- arly understanding of hidden and language data • Native support for over 150 Languages & 1000 file types processed • Direct Discovery and Manage In-Place process • Full support for EDRM XML load file and all legacy load file formats • Petabyte scalability...
Summary: ...the phrase order for the source document to be scored as a result • Wildcards (stemming) - beginning characters that must match the same beginning characters in a document's words in order for it to be scored Legacy Search IDOL Server supports all known legacy search methods, including: • displaying...
Summary: ...regulatory or corporate consequences. Lastly, SQL server licensing and associated storage costs become a significant source of expenditure as MOSS systems grow. Going Beyond ECM Solutions Most content management providers have connectors for other systems, such as SharePoint, which allow the extraction...
Summary: ...regulatory or corporate consequences. Lastly, SQL server licensing and associated storage costs become a significant source of expenditure as MOSS systems grow. Going Beyond ECM Solutions Most content management providers have connectors for other systems, such as SharePoint, which allow the extraction...
Summary: ...Information Rapidly Forms and documents come in all different formats with complex variances, and many of them are generated outside the enterprise and beyond its control. TeleForm uses a robust suite of identification methods to automatically sort scanned documents into “virtual piles” for further...
Summary: ...Layer (IDOL) to understand the meaning of all enterprise information, no matter its language or format. In use by over 22,000 organizations, IDOL uses probabilistic modeling and advanced pattern-matching to form a conceptual and contextual understanding of all information and deliver an unprecedented...
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: ...telephone calls or videos, based on a mathematical understanding of the concepts within it. Thus, unlike the OLAP model, the storage of the data within IDOL is fully self-organizing and does not require the manual definition of complex schemas. Parametric Probabilistic Space Analysis (PPSA) IDOL incorporates...
Summary: ...innovations that are covered by 170 patents. Autonomy technology identifies the 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...
Summary: ...beyond these mechanical requirements, however, IDOL's ability to conceptually understand information rather than be forced to doggedly consume information on a keyword basis provides a platform for two further, advanced linguistic operations. These operations go beyond mere compliance across multiple...
Summary: ...unstructured, and recognize the relationships that exist within it. When applied to speech, this allows technology to derive intelligence from voice information in a human-like way, rather than relying on strict phonetic or keyword-based approaches that frequently miss true intent or meaning. Legacy methods...
Summary: ...in Java, Perl or Python. This capability should be compared with the limited processing supported by the SQL language, but the code is ten times less efficient than SQL. These methods produce an inverted index. To compare this with basic keyword search, it can match words and count occurrences. It lacks...
Summary: ...the data being analyzed. However, although the processing power of computers far exceeds human capabilities, there will still be management required. The most advanced systems will require fewer people to provide better quality insight and help extend the value beyond the contact center, to enterprise...
Summary: ...of customer service. At the entrance to the car park, ANPR automatically detects loyalty cardholders as they enter and automatically assigns them a convenient parking space. As well as enabling retailers to offer special customers a more personalized service, Virage ANPR provides valuable insights into...
Summary: ...can find arbitrary word, learns new words usage automatically, no help for dictionary set-up Can find ideas irrespective of words used Many misidentified words, sometimes appears within other words (’cat’ is in ‘catastrophe’) Sensitive to noise, bandwidth, accent - as phonemes are different Needs...
Summary: ...keywords and cannot contend with variant expressions of an idea, IDOL combines both phonetic and conceptual methods to disambiguate the limitations inherent in keyword and phoneme matching approaches. Autonomy uniquely supports conceptual matching, so if the audio contained the phrase “University of...
Summary: ...the data at hand. With conceptual search at the foundation of information access technology, enterprises can conduct content-based archiving and legal hold, as well as perform exact and near de-duplication in legal applications. IDOL is able to perform these evaluations with surprisingly little overhead...
Summary: ...that meets your business requirements now and in the future. It is beyond the scope of this document to describe the intellectual foundations of the Autonomy solution (see the Technology White Paper for a detailed description). Rather, it focuses on its demonstrable performance and scalability characteristics...
Summary: ...BI Is In the Details: How Columnar Technology Leverages the Latent Value in SQL Databases. To really get the latent value out of ever larger data warehouses, BI tools need to speak their language, and that language is SQL. Products that are capable of generating SQL robust enough (and fast enough) to...
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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