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Text Analytics World Topics & Case Studies Conference



The "Text Analytics World Topics & Case Studies" conference will take place in San Francisco, California, United States on 7 Mar 2012.


San Francisco Marriott Marquis, San Francisco CA, United States

Text Analytics World San Francisco 2012 is the business-focused event for text analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to leverage unstructured data for business impact and deploy the latest text analytics technology.

CASE STUDIES:

Text Analytics World San Francisco 2012 will feature over 20 sessions with case studies from leading enterprises in e-commerce, financial services, government, healthcare, high technology, insurance, retail, and social media such as: Accident Fund Insurance, AlphaGenius, AVG (security), Amdocs and the U.S. Government Accountability Office, a U.S. Federal Department, Brocade, Center for Disease Control, Hewlett-Packard, MTV and Warner Music Group, Samsung, a Fortune 500 global technology company, hedge funds, emergency response companies, plus special examples from U.S. government agencies DoD, DHS, and SSA.

HOT TOPICS:

TAW San Francisco’s agenda covers hot topics and advanced methods such as blackbox trading, customer service and call centers, decision support, document discovery, document filtering, financial indicators from social media, government applications, insurance applications, knowledge discovery, marketing and branding, product launching, sentiment analysis, social data, social media applications, test analytics software, topic discovery, voice of the customer, and other innovative applications that benefit organizations in new and creative ways.

WORKSHOPS: TAW also features a full-day, hands-on text analytics workshop, plus several other pre- and post-conference workshops in analytics that complement the core conference program.

Register for the Text Analytics World Topics & Case Studies Conference

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Related Terms:

  • case mail loc:RO
  • amdocs predictive analysis

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