Save up to $850 – Predictive Analytics World super early bird ends Dec 18

Give (or get) the gift of Analytics - super early bird rates expire on Dec 18 for three Predictive Analytics World conferences in San Francisco in April 2016.


Dear KDnuggets Reader,

this is a reminder that super early bird rates expire on Friday, December 18th for three analytics conferences in San Francisco this April 2016. You won't want to miss this - THE analytics gathering of the west coast. Join us with code KDN150 for an additional $150 off of Super Early Bird rates.

Unwrap the best rates to attend by signing up today for any of the following conferences:

Predictive Analytics World for Business
April 3-7, 2016
PAW Business covers a wide range of business applications for predictive analytics across industry sectors, including marketing, credit scoring, insurance, fraud detection, web optimization, and much more. View the complete agenda.
* Register with Super Early Bird Pricing		 PAW Business
Predictive Analytics World for Workforce
April 3-6, 2016
Take full advantage of analytics utilized for the purpose of solving workforce management challenges at PAW Workforce. Find out how to protect your organization's greatest asset: its workforce.
* Register with Super Early Bird Pricing		 PAW Workforce
eMetrics Summit
April 3-6, 2016
Be part of the eMetrics Summit where marketing analytics practitioners, experts and visionaries discuss capturing and applying insights from data.
* Register with Super Early Bird Pricing		 eMetrics Summit San Francisco

Remember - super early bird savings end on Friday, December 18th.
Use code KDN150 upon checkout for the gift of up to $850 off your conference pass.

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Rising Media Inc.
211 E. Victoria Street, Suite E
Santa Barbara, CA 93101


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Get the FREE ebook 'The Great Big Natural Language Processing Primer' and the leading newsletter on AI, Data Science, and Machine Learning, straight to your inbox.

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Get the FREE ebook 'The Great Big Natural Language Processing Primer' and the leading newsletter on AI, Data Science, and Machine Learning, straight to your inbox.

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