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  • 2015 IBM Fellows John Smith and Donna Dillenberger

    2015 IBM Fellows John Smith and Donna Dillenberger


    Date added: 2015-04-15


    At IBM's corporate headquarters in Armonk, New York, IBMers John Smith and Donna Eng Dillenberger, who work in the company's research unit, demonstrate how data can make city transportation more efficient. The two researchers are part of a group of 10 IBM experts who have been awarded the distinction of IBM Fellow, the company's most prestigious technical honor. Collectively, the 10 new IBM Fellows have filed for 441 patents, of which 289 have been granted.(Jon Simon/Feature Photo Service for IBM) 

     

     







  • Create Social Data-Enabled Apps

    Create Social Data-Enabled Apps


    Date added: 2015-03-17


    Using IBM’s Insights for Twitter service on Bluemix, developers and entrepreneurs can search, quickly explore and then mine enriched Twitter content and aggregated insights. This is a screen grab from IBM Smarter Social Media Activity Monitor, an application built on IBM BlueMix, for a global bank. The bank wanted to provide its analysts with a powerful and easy way to scan, monitor and leverage Twitter conversation on a variety of topics, such as conversations on specific companies or other subjects of interest. This image shows how the bank is monitoring immunotherapy trends. (Credit: IBM)

     

     



  • Merge Sophisticated, Predictive Analytics with Twitter Data

    Merge Sophisticated, Predictive Analytics with Twitter Data


    Date added: 2015-03-17


    Watson Analytics can give business professionals the ability to immediately pull Twitter data into any project in order to identify and explain hidden patterns and relationships to accelerate the understanding of why things happen and what's likely to happen. This screen grab shows how a manger at of a grocery store could use Watson Analytics to analyze relevant tweets and generate powerful, interactive visualizations that highlight the various factors, or complex combination of factors driving new customers to the store. (Credit: IBM)

     

     


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