Posts Tagged ‘Rage Frameworks’

An Introduction to RAGE Semantic Intelligence Technology

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WESTWOOD, Mass., March 10, 2014 /PRNewswire/ – RAGE Frameworks, a provider of technology enabled solutions and services, introduces breakthrough Semantic Intelligence technology, integrated with its patented and model driven Business Process Automation platform.

 

The immense untapped strategic and operational potential buried in the body of information and knowledge in cyberspace continues to be a bridge too far, even in 2014.  So does the Real Time Intelligent Business Enterprise.  The technology to unlock the potential of Big Data and make it practical and applicable to drive new value for old [and new] businesses is still in its infancy, and lags the hype around Big Data by a great distance.  Read more

RAGE Frameworks Launches Enterprise Big Data Platform

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WESTWOOD, Mass., Oct. 8, 2013 /PRNewswire/ – RAGE Frameworks, a provider of Big Data and Business Process Transformation Solutions, announces the launch of GYAN™, its Enterprise Big Data Platform. GYAN™, which stands for knowledge in Sanskrit, signals the arrival of applied Big Data technology that will enable Real Time Intelligent Business Operations.

Much more than adding a layer of standalone “analytics on top”, GYAN™ with its underlying RAGE Enterprise™ engine is set up to fundamentally transform Enterprise Operations by integrating structured and unstructured content, transactional and analytics functions, internal and external sources, in one integrated platform.  Read more

Financial Services In The Spotlight At Sentiment Analysis Symposium

The financial services sector was in focus at this week’s Sentiment Analysis Symposium in New York City, which is organized and produced by Alta Plana Corp. and its founder, Seth Grimes.  Take, for example, the presentation by Rich Brown, head of Elektron Analytics at Thomson Reuters, who disclosed that the company is about to launch market response indicators in support of its Thomson Reuters News Analytics system for the financial community. That product this week also won The Technical Analyst’s 2012 award for best news analytics software.

With its software, originally discussed here, qualitative, unstructured information is turned into a quantitative data set allowing users – machines and humans – to quickly analyze thousands of news stories in less time than it takes to read a single headline, as Thomson Reuters describes it. It uses natural language processing technology to get to the end game, which is to forecast financial market response from news and social media sentiment. Some 82 fields of metadata come into play for automating the analysis of news content. That encompasses sentiment down through to the degree of positive, negative or neutral expressions and how individual companies mentioned in a piece fare in those respects – rather than just the tone of the piece at large. “The computational linguistics system measures the author’s tone as positive or negative on any given entity, which is important and the harder part of it,” Brown said. Other fields include, for example, relevance, genre, intensity of news flow, and more.

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