Attivio Releases Active Intelligence Engine 2.1

Tuesday, 08 June 2010 07:34

Attivio, Inc. has released an update to its flagship platform, the Active Intelligence Engine (AIE). Version 2.1 provides immediate access to all information needed to identify trends that result in opportunities while detecting challenges before they become issues. New to AIE, Attivio has incorporated key features including SQL support (via a JDBC driver), key phrase detection, content spotlighting, entity-level sentiment analysis, and integrated connector support for active security.

Attivio's AIE brings immediacy and depth to the information that drives enterprise organizations, uniting content and text analytics with normalized, related data from any source. AIE enables rich applications, such as dashboards, that provide a comprehensive view across documents, Web sites, and e-mail, as well as data that has traditionally been limited to database applications. The platform directly ingests data without relying on time-consuming data modeling, so it can be accessed and synthesized as soon as it is received. In addition to currently available features such as comprehensive real-time search, linguistics support, flexible workflow, and dynamic facet recommendations, the latest version of AIE includes several new features.

Support for Structured Query Language (SQL), the de facto query language for data analysis, allows precision and complexity beyond the capabilities of search engine queries without steep learning curves of proprietary and/or complex new APIs. Attivio's AI-SQL extensions combine the capabilities of relational and search queries and analytics by allowing the creation of virtual tables using full text queries without any need to pre-define a schema.

JDBC driver support allows standards-based integration of AIE with thousands of off-the-shelf BI, reporting, and analytic tools, enabling these applications to access and analyze all information from the AIE index, including unstructured text and entities extracted from content.

The Key Phrases feature automatically extracts the statistically improbable phrases from documents, thus producing a conceptual view of the document or a result set.

Entity-level sentiment analysis extracts and measures opinions expressed in text with respect to entities.

Content spotlighting gives business managers powerful editorial control over the user's search experience, including managing result ordering for sets of keywords, creating promotions that pull in external content (such as advertisements), and controlling when, how, and for which sets of content these things operate. Content spotlighting also fully supports editorial review and approval of changes.

Active security in AIE now automatically incorporates access control lists (ACLs) provided by other applications. To ensure rapid updating, AIE maintains ACLs in a separate security table in the universal index.