Getting Knowledge Transfer Right Enterprise Wide Webinar Sponsored by Concept Searching and Discovery Machine

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Registration Now Open for September 5th Webinar on Combining Artificial Intelligence with Metadata Generation, Auto-classification, and Taxonomy Management

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The webinar will explore how the solution can save organizations both time and money, while increasing accuracy and consistency of corporate knowledge access.

Concept Searching, a global leader in semantic metadata generation, auto-classification, and taxonomy management software and developers of the Smart Content Framework™, is pleased to announce a webinar hosted jointly with Discovery Machine Inc., entitled ‘Getting Knowledge Transfer Right Enterprise Wide’, taking place on September 5th.

Successful artificial intelligence enables organizations to capture the thought process of top performers and deploy it as a virtual coach. Combining artificial intelligence with expert knowledge, metadata generation, auto-classification, and taxonomy management delivers great knowledge transfer.

In this webinar, Discovery Machine and Concept Searching will demonstrate how their combined offering enables enterprises to establish an effective information framework by enhancing access to corporate knowledge sources with artificial intelligence. The webinar will explore how the solution can save organizations both time and money, while increasing accuracy and consistency of corporate knowledge access.

Registration is now open for the webinar ‘Getting Knowledge Transfer Right Enterprise Wide’, on Thursday, September 5th, at 11:30 AM - 12:30 PM EDT.

What attendees will learn about during this webinar:

  • Capturing enterprise knowledge and deploying subject matter expertise as a virtual coach
  • Effective content identification and classification, regardless of content location in the enterprise
  • Eliminating the error and cost burdens of identification and management of records
  • Documenting knowledge in the context of business process to create tangible knowledge assets
  • Increasing the quality of information for decision making
  • Automatic migration of content driven by classification of metadata

Expert speakers will be Todd Griffith – CTO and Co-Founder at Discovery Machine, Ken Lemons – Vice President Federal Programs at Concept Searching, and John Challis – Founder and Chief Executive Officer at Concept Searching.

Full details of the 2013 webinar series can be found here.    

Follow Concept Searching: http://www.twitter.com/conceptsearch

About Concept Searching
Founded in 2002, Concept Searching is now the industry leader specializing in conceptual metadata generation, auto-classification, and taxonomy management. Platform agnostic, Concept Searching is also a Microsoft managed partner with a Gold competency in Application Development, and offers a complete suite of SharePoint solutions. The award winning technologies integrated with Concept Searching’s Smart Content Framework™ encompass the entire portfolio of unstructured information assets in on-premise, cloud, or hybrid environments. Clients have deployed the intelligent metadata enabled solutions to improve search, records management, protection of privacy data, migration, text analytics, eDiscovery, and Enterprise/Web 2.0.

Concept Searching is headquartered in the US with offices in the UK, Canada and South Africa.

About Discovery Machine Inc.
Discovery Machine Inc. is a privately-held firm, with headquarters in Williamsport, PA and offices in Raleigh, NC. Based on award-winning work for the Department of Defense and over 50 years of combined experience, Discovery Machine developed a patented approach to capturing and deploying the knowledge of experts within a company. Discovery Machine has a successful history in the defense, aerospace, and commercial industries, including work with the Navy, DARPA, ONR, NASA, Lockheed Martin, Northrop Grumman, SAIC, Boeing, Fidelity Technologies, and many others. Please find more information at http://www.discoverymachine.com.

All product and company names herein may be trademarks of their respective owners.

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Nicola Barnes
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