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Rich Data Products Webinar Series ... Register Now

From
Muzyka, Carolyn <>
Date
2005-03-01T15:59:37+00:00
ID
Thread
Rich Data Products Webinar Series ... Register Now
Learn how to turn your 
existing content assets into new revenue streams.  Register for Innodata 
Isogen's rich data products webinars on March 3 and March 10, which will offer 
first-hand demonstrations on how companies are transforming articles and other 
types of editorial content into componentized assets, the building blocks for 
rich data products

Case Studies: 
Building Rich Data Products
(Co-presented by 
Innodata Isogen and Mark Logic)

This session will 
offer participants a chance to hear more about industry success stories as well 
as view technical demonstrations related to rich data products, including 
Elsevier’s implementation of the Mark Logic solution.

Date: 
Thursday, March 3, 2005
Time: 
12:00PM EST, 9:00AM PST, 17:00PM GMT

Case Studies: 
Enriching Your Content to Achieve Rich Data 
Success
(Co-presented by 
Innodata Isogen and ClearForest)

This session will 
combine industry success stories with an in-depth demonstration of the 
ClearForest technology solution for automating the data enrichment and deep 
tagging process.

Date: 
Thursday, March 10, 2005
Time: 
12:00PM EST, 9:00AM PST, 17:00PM GMT

To register for one or 
all three of the webinars, visit the rich data products resources page on our 
Web site 

http://www.innodata-isogen.com/resources/rich_data_products/rdp_webinars?dref=OASIS

For more information 
on rich data products, you can also read our white paper – Rich Data Products… 
Five Steps for Building New and Self-Sustaining Revenue 
Streams.

In addition to 
describing how companies are using contextualized data to create the building 
blocks for rich data products, this white paper also examines the challenges 
facing publishers, media and information services companies, reviews how many 
companies are already using rich data products to create new revenue streams and 
outlines five steps for exploiting and implementing rich data 
products.

Thank 
You,
Innodata 
Isogen

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