Manual or Automatic - It's Not an Either/Or Choice

Avoiding Black Box Solution Pitfalls

Some vendors only offer "black box" solutions, mistakenly believing that their technology can always provide the best answers with no tuning required. However, this idea demonstrates a naïve understanding of enterprise demands, for not even the best automated systems can anticipate the special needs of each enterprise. These "black boxes" offer only a few, if any, relevancy tuning options and do not reveal to the user how the results were generated.

In stark contrast, Autonomy's technology provides the best of both worlds, automatically retrieving the most accurate results using its conceptual understanding of content and also offering the flexibility to modify the relevancy algorithm if needed. The computational process is fully transparent to the administrator and Autonomy reveals the basis for its determinations through easily understood representations such as dominant terms and idea distances.

Application administrators are provided with a full workbench to control and tune the relevancy of search results. Some unique advantages offered by Autonomy include:

WYSIWYG (What You See Is What You Get) user interface

The weight of virtually every field (e.g. title, author) can be manipulated and many operators are available to alter relevancy

Access to an extensive range of pertinent information, including common queries, misspellings, query types - all presented in friendly visuals

Full support for business modulated result "sponsoring" or "placement." For example, a business user can elect to promote a certain result, set of results or object (such as an advertisement) to a defined position within a result set in response to a given query or input. If a user queries for "yellow Prius," the administrator can define a rule to return the same set of results as a query for "gold Prius," with a link to the advantages of hybrid cars being the first on the returned list

Autonomy Collaborative Classifier module, which creates a workflow in which the subject matter experts and knowledge engineers, as identified by the organization, collaborate in real-time to create, modify, distribute, and manage taxonomy. As the classifications are created and managed by the people who actually use them, information is organized in ways that are specific and germane to the organization

Protects user privacy by respecting entitlement rights and separating the administrator role from the "super-user", thereby ensuring the administrator will be restricted from information they are not privileged to view

Autonomy enables an entire range of information processing options, both manual and automatic. The system can be configured to support as much or as little manual involvement as necessary, ensuring that Autonomy is not a "black box" where the running of the technology cannot be seen or adapted by administrators.

Further Reference:

Autonomy Technology White Paper

Further Reference:

Autonomy's Relevance Tuning Functionality

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Manual or Automatic - It's Not an Either/Or Choice

Avoiding Black Box Solution Pitfalls

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