October 29-November 2, 2017
New York
The premier machine learning conference


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 Dir., Strategy, Analytics and Systems
Verizon
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
Founder & Chair
Elder Research, Inc.
What to Optimize? The Heart of Every Analytics Problem
Special featured session:
Seth Stephens-Davidowitz
Seth Stephens-Davidowitz
Author, Everybody Lies
Opinion writer, NYTimes
Former data scientist, Google
The Limits of Surveys and the Power of Google Search Data

Predictive Analytics World for Business is the leading cross-vendor event covering the commercial deployment of 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 & machine learning 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:

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

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, legal applications, logistics analytics, machine learning, market research and analytics, marketing applications, model deployment, optimizing outreach, predictive analytics adoption in a new industry, uplift modeling, women in predictive analytics, workforce analytics.

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.

More Photos from New York 2016 Here

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Co-Located with:
PAW Financial

PAW Healthcare

eMetrics Summit

2017 Sponsors
Datarobot

diwo

Dun & Bradstreet

The Trade Desk

UCI


MEE

Blog Partners
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