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Software Division | Webinar: Seven Ways Text Analytics Engines Tame Big Data

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Webinar Details

Wednesday, June 26, 2013
10:00am - 11:00am PT / 1:00pm - 2:00pm ET

Description

Your customers have big data issues, and they’re looking to software vendors to help them solve these issues.  Whether your software is designed for archiving, collaboration, content management, CRM/social media or compliance – it’s getting harder for enterprises to sort through all their unstructured data.

This live webinar will address these questions and more:

  • How and why are software companies embedding concept-aware text analytics engines into their products to bring order to the chaos of big data in a highly automated, consistent and defensible way?
  • Can these engines really synthetically transfer human knowledge to large unstructured data collections to precisely and accurately classify big data for reduction, organization, analysis and findability?
  • Can a machine be taught to conceptually understand specific categories and apply those categories to each piece of unstructured content with a much higher level of precision than a human, and in any language?

Join SIIA’s member Content Analyst to hear and see examples of where content-aware advanced analytics is being applied within software products to address the issues of big data, and learn the advanced analytics secrets held by dozens of software companies in legal, eDiscovery and US Intelligence for years.

Webinar Cost
Members: Free
Non-Members: $0.00

Register Now
* By clicking the above link, you will be directed to a registration page.  If you have previously registered for an SIIA event, please login with the profile you created.  If this is your first SIIA event, please click the sign up as a new contact link.  If you received a promotional code, you will be prompted to enter it on the registration page to offset the cost. For any questions, please contact Katie Carlson, Program Manager by email at This e-mail address is being protected from spambots. You need JavaScript enabled to view it