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Derive Critical Business Value from Big Data Inside Your Secure Enterprise Cloud
New Software Release Poised to Bolster Intelligence Analysis and Surveillance Capabilities for Financial Services Firms and Government Agencies

NASHVILLE, Tenn., September 8, 2014 – Digital Reasoning, a leader in cognitive computing, today announced immediate availability of Synthesys® 3.9, the latest release of its machine learning platform for analyzing human language data at scale.

The release comes at a time when the global demand for advanced Big Data analytics is growing across many sectors and use cases. Enterprises want effective ways to combine disconnected data into synthesized knowledge about customers, employees and high-value targets in order to achieve better results and mitigate increasing risks.

While organizations have invested significant resources into managing the surging volume, velocity, and variety of data, it has proven difficult to extract real business value from Big Data. The complexity of Big Data environments means it is difficult to normalize and securely connect information across disparate sources — hampering efforts to apply Big Data to critical processes such as conduct risk management in banking as well as threat detection and targeting in the context of national security. Synthesys 3.9, now fills this void by providing capabilities to detect key risk and performance indicators in human communication and automatically connect and aggregate information based on those indicators.

“We are stoked to announce the availability of Synthesys 3.9 which delivers compelling innovation and critical new capabilities in areas of interoperability, extensibility and security,” said Marten den Haring, senior vice president of products at Digital Reasoning. “Our customers are hungry for enterprise-wide big data architectures that empower impactful analysis and discovery, and this release continues to prove why cognitive computing is disrupting traditional enterprise software solutions.”

Product enhancements include:

  • Monitor Key Indicators: Monitor data streams in real-time with configurable Key Indicators.  Whether tracking online news sources for indicators of social unrest, or monitoring internal employee communication for indicators of fraud and abuse, organizations can easily define Key Indicators that generate alerts for behaviors of interest. Key Indicators identify multi-dimensional patterns in text by combining learning algorithms and rules engines.  Users can review, escalate, and explore historical alerts through an intuitive interface with role-based security.
  • Flexible NLP Framework:  Extend and customize Synthesys’ Natural Language Processing capability to extract and categorize valuable topics, events and relationships.  The NLP framework can easily be extended with third-party entity extractors, data specific preprocessing engines, or custom algorithms.
  • Network Visualization:  Discover hidden relationships and connections within data using a powerful network visualization paradigm powered by Synthesys’ REST API.
  • Data Ingestion & Interoperability: Transforming and ingesting data from disparate sources and formats is easier than ever with Synthesys’ new and extensible Extract-Transform-Load (ETL) module. And leverage an open specification called Portable Analytics Graphical Interchange (PAGI), which enables the interchange of analytics information on textual data, represented as a graph.
  • Reference Data:  Incorporate authoritative reference data to enhance the Synthesys user experience.  By providing human-curated information about people, places, and organizations, the system can better organize entities and complex relationships.
  • Infrastructure Improvements: New deployment options include support for High Availability and secure cluster configurations with Kerberos on CDH5.

According to a February 2014 report by Forrester Research titled Predictions 2014: All Things Data, ”Cognitive computing brings together previously siloed analytics approaches like natural language processing, text analytics, and predictive analytics inside machine learning solutions that understand human intention and provide answers with transparent confidence…Over the next few years, we will see a growing number of ‘prepackaged’ cognitive solutions — often running in the cloud — to hide the immense complexity of the underlying technology for the end user and make it more economically feasible to experiment.”

To learn more about Synthesys 3.9 go to: