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Avoiding Content Predicaments! Automatic 3Cs – Classification, Categorizing and Clustering

Expert System’s Upcoming Webcast, 10-15-2007

Welcome to Expert System Live Webinar:

Avoiding Content Predicaments!
Automatic 3Cs – Classification, Categorizing and Clustering

Every company needs to organize its information so professionals can find it and use it.  The 3Cs – Classification, Categorization and Clustering – are often the most important steps to achieving this.  Yet, as the amount of content grows it no longer becomes practical to rely on human intervention or manual processing of information, such as tagging, to make e-business applications work.  Fortunately, technology now exists to automate the 3Cs with human levels of precision.

Join your colleagues for a presentation and roundtable discussion with Expert System on Content Automation.  This is a free webinar brought to you by Expert System.  To register send an e-mail to webinar@expertsystem.net

Be sure to attend this webinar if;

• You need to classify a vast amount of information, including documents and email.
• You have ever wondered how you can manage your intellectual capital more efficiently.
• You need the speed and insight based real time news feeds and data.

DATE/TIME: November 8th 2007, 10:00 am PT, 1:00 pm ET USA; 6:00 pm UK.
Duration: 60 Minutes
Focus On: Content Automation in an Information Intensive World.

In this webinar you will learn how RCS MediaGroup;

• Went from 15 staff doing manual categorization with 84% accuracy down to two staff and achieved 85% accuracy saving over $650,000 a year in costs. 
• Shares knowledge efficiently.
• Enabled the quick retrieval and use of relevant information.
• Processes hundreds of articles a day the subject and to extract data related to places, companies, names.

RCS MediaGroup case history 

Can’t make the live broadcast? Write to webinar@expertsystem.net and access the On-Demand Webcast whenever you’re ready.

Download the presentation:
Avoiding Content Predicaments! Automatic 3Cs – Classification, Categorizing and Clustering
Thursday November 8, 2007


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