Attivio Applies Predictive Analytics to Indexed Data

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    Interest in all things relating to data big and small has never been higher. The challenge is that a multitude of tools and applications are needed to turn all that data into something useful for the business, which can be difficult to overcome.

    Attivio has put all the components needed to turn data into a business asset under a common Active Intelligence Engine (AIE) that indexes data so that IT organizations can dynamically access streams of diverse data types regardless of where they are stored or the format they are in.

    This week Attivio took AIE one step further with the addition of a predictive analytics module that makes it easier to analyze all the data that AIE has indexed. Attivio CTO Sid Probstein says that the analytics required to make sense of all that data can now be invoked directly via AIE, rather than requiring IT organizations to move all their data into a separate predictive analytics application.

    In addition to the predictive analytics module, Attivio this week also announced the Attivio AIE Business Center, a module that allows IT organizations to give end users more control over interactive search queries against data indexed by AIE. The company also released Attivio AIE Scope Search, which combines an enterprise search capability with a hierarchical data structure normally found only in an XML database.

    Probstein says the end goal is to leverage indexing to unify the data in all systems so that data is accessible without having to move it into one centralized system. Ultimately, Probstein says that exposing that data through an Attivio application programming interface (API) will lead to the development of cognitive computing applications that allow end users to interrogate computer systems in a way normally only associated with science-fiction movies like Star Trek.

    Attivio is not the only company with such ambitions. IBM, in the form of Watson, and Hewlett-Packard, in the form of HP Autonomy, both have cognitive computing development efforts under way. The challenge right now, however, is finding a way to bring all the data needed to inform those applications together so that the data is not only accessible, but also truly actionable.

    Mike Vizard
    Mike Vizard
    Michael Vizard is a seasoned IT journalist, with nearly 30 years of experience writing and editing about enterprise IT issues. He is a contributor to publications including Programmableweb, IT Business Edge, CIOinsight and UBM Tech. He formerly was editorial director for Ziff-Davis Enterprise, where he launched the company’s custom content division, and has also served as editor in chief for CRN and InfoWorld. He also has held editorial positions at PC Week, Computerworld and Digital Review.

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