October 29-November 2, 2017
New York
Delivering on the promise of data science


Predictive Analytics World for Business, October 29 - November 2, 2017 in New York, will be packed with the top machine learning and predictive analytics experts, practitioners, authors, business thought leaders and keynote speakers:

Anne Robinson
Anne Robinson
Executive Director, Strategy, Analytics and Systems
Verizon Wireless
The Right Analytics for the Job: Tips and Tricks for Success
Jack Levis
Jack Levis
Senior Director, Process Management
UPS
UPS' Road to Optimization
Claudia Perlich
Claudia Perlich
Chief Scientist
Dstillery
The Predictability Predicament: Your Model Overlooks the Real Target
Plus special sessions from these industry heavy-weights:


Special plenary session:
John Elder
John Elder
CEO & Founder
Elder Research, Inc.
What to Optimize? The Heart of Every Analytics Problem
Special featured session:
Seth Stephens-Davidowitz
Seth Stephens-Davidowitz
Author, Everybody Lies
NYTimes Opinion Writer
Former Google data scientist
Insights from a Master Data Storyteller - "Everybody Lies" Author

Predictive Analytics World for Business focuses on concrete examples of deployed machine learning and predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling and the kind of business results they achieve. Click here to view the agenda at a glance.

PAW's New York 2017 program features over 40 sessions across these tracks:

Track 1: BUSINESS
Analytics strategy & operationalization
Track 2: TECH
Predictive modeling methods
Track 3 (Day 1): MARKETING
Marketing & market research analytics
Track 3 (Day 2):
CASE STUDIES
Varied business applications

Attend to witness case studies on how predictive analytics is applied at leading enterprises:

BBC Worldwide Becker College Bloomberg Cargonexx
Circle A Farms Citigroup Clorox Company Comcast
Co-operators dstillery Honeywell Intel
John Hancock Linkedin Micron New York City Mayor's Office
Paychex Prudential Rightship
Smarter HQ UPS Verizon Walmart

PAW New York's agenda will cover many hot topics and advanced methods within the 4 track topics listed above, such as: agriculture analytics, analytical methods, analytics management, analytics strategy, churn modeling, crisis response, data policy, data quality, education and team building, forecasting, fundamentals and gotchas in predictive modeling, logistics analytics, market research and analytics, marketing applications, media applications, model deployment, optimizing outreach, predictive analytics adoption in a new industry, uplift modeling, women in predictive analytics, workforce analytics, machine learning.

Co-located event: PAW Financial. This PAW Business event is held alongside PAW Financial; financial services-focused sessions will be located there. Available cross-registration options provide you the opportunity to attend sessions at both events. Click here for details about PAW Financial.

Join PAW and access the best keynotes, sessions, workshops, vendor exposition, expert panel, networking coffee breaks, reception, networking lunches, brand-name enterprise leaders, and industry heavyweights in the business.

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Co-Located with:
PAW Financial

PAW Healthcare

eMetrics Summit

2017 Sponsors
Datarobot

Dun & Bradstreet

The Trade Desk

UCI

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