Predictive Analytics World

October 29–30, 2014(2 days)Β· Ended
Conference
London, United Kingdom
In Person

About This Event

PAW focuses on concrete examples of deployed predictive analytics. Learn precisely how top practitioners in a variety of organizations and industries deploy predictive analytics, and experience the impact it delivers.

PAW London aims to attract a wide variety of stories covering hot topics and advanced methods such as response modeling, churn modeling, crowdsourcing predictive analytics, demand forecasting with predictive models, discovery of technology trends, financial services, human resource retention, non-profit fundraising, online ad optimization, operational analytics, pharmaceutical and health applications, project management for analytics, risk management, social data, supply chain management, text analytics, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways.

Category: Conferences

Price:
Super Early Bird - Two Day Predictive Analytics World Pass (Access to Predictive Analytics World sessions and Expo Hall on 29th October AND 30th October) ENDS 1st AUGUST: 797
Early Bird - Two Day Predictive Analytics World Pass (Access to Predictive Analytics World sessions and Expo Hall on 29th October AND 30th October) ENDS 26th SEP: 995
Regular Price - Two Day Predictive Analytics World Pass (Access to Predictive Analytics World sessions and Expo Hall on 29th October AND 30th October) ENDS 28th OCT: 1095
Super Early Bird - One Day Predictive Analytics World Pass (Access to Predictive Analytics World sessions and Expo Hall on 29th October and 30th October ENDS 1st AUGUST: 395
Early Bird - One Day Predictive Analytics World Pass (Access to Predictive Analytics World sessions and Expo Hall on 29th October and 30th October ENDS 26th SEP: 495
Regular Price - One Day Predictive Analytics World Pass (Access to Predictive Analytics World sessions and Expo Hall on 29th October and 30th October ENDS 28th OCT: 595

Booking: http://atnd.it/10993-1

Time: 8:00 am - 6:00 pm

Event ID: e64aj6a
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