• DocumentCode
    1865486
  • Title

    Enterprise trends and opportunities in the age of semantic computing

  • Author

    Newman, David

  • Author_Institution
    Enterprise Archit. & IT Strategy, Wells Fargo, ND, USA
  • fYear
    2015
  • fDate
    7-9 Feb. 2015
  • Abstract
    There is increasing awareness within enterprises of the many opportunities becoming available through adoption of emerging technologies and tools that utilize machine intelligence. A transition from reliance on conventional technologies and legacy data stores to more knowledge oriented semantic computing capabilities that make use of natural language processing and text analytics, video analytics, ontologies, reasoners, machine learning, Big Data and graph data stores is beginning to occur. Does this signal the beginning of a major shift in enterprise computing? What are some of these evolving trends and business opportunities? What are some of the major enterprise pain points that semantic computing can help to mitigate? How can enterprises best position themselves for successful deployment of these technologies to maximize business value? How is the financial industry embracing semantic computing?
  • Keywords
    Big Data; business data processing; learning (artificial intelligence); natural language processing; ontologies (artificial intelligence); text analysis; Big Data; business opportunities; enterprise computing; enterprise opportunities; enterprise trends; financial industry; graph data stores; knowledge oriented semantic computing capabilities; legacy data; machine learning; natural language processing; ontologies; reasoners; text analytics; video analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2015 IEEE International Conference on
  • Conference_Location
    Anaheim, CA
  • Type

    conf

  • DOI
    10.1109/ICOSC.2015.7050763
  • Filename
    7050763