Predictive Analytics World for Business 2017 in New York City (PAW NYC)

Venue: Jacob K. Javits Convention Center

Location: New York City, New York, United States

Event Date/Time: Oct 29, 2017 / 9:00 am - (EST) End Date/Time: Nov 02, 2017 / 5:00 pm - (EST)
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Predictive Analytics World for Business, October 29-Nov 2, 2017 in New York City is the business event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive analytics and machine learning, across industries and across software vendors.  The conference delivers case studies, expertise and resources to achieve four objectives:

  • The Best of Data Science: Deliver on the promise of machine learning
  • Bigger Wins: Strengthen the business impact delivered by predictive analytics
  • Broader Capabilities: Establish new opportunities with predictive analytics
  • Big Data: Leverage bigger data for prediction and drive bigger value

PAW Business NYC is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:  Anne Robinson, Executive Director, Strategy, Analytics and Systems at Verizon; Jack Levis, Senior Director, Process Management at UPS; Claudia Perlich, Chief Scientist at Dstillery; plus a special plenary session from industry heavy-weight Dr. John Elder, CEO & Founder of Elder Research, Inc.; and a special featured session by Seth Stephens-Davidowitz, Author of Everybody Lies, opinion writer for NY Times and former data scientist at Google.

PAW Business NYC 2017 will feature 30 sessions with case studies across 3 tracks: 1) Business; 2) Tech; 3A) Marketing; 3B) Case Studies, so you can witness how predictive analytics is applied at leading enterprises such as BBC Worldwide, Becker College, Bloomberg, Cargonexx, Circle A Farms, Citigroup, The Clorox Company, Comcast, The Co-operators, Dstillery, Honeywell, Intel, John Hancock, LinkedIn, Micron, The City of New York, Paychex, Prudential, RightShip, SmarterHQ, UPS, Verizon, Walmart and other top brands. 

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, machine learning, 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.

WORKSHOPS:  PAW Business NYC 2017 also features several full-day pre- and post-conference training workshops that complement the core conference program.


1.   PREDICTIVE ANALYTICS WORLD 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. 

2.   PREDICTIVE ANALYTICS WORLD HEALTHCARE. The PAW Healthcare program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how predictive analytics is employed at leading enterprises and resulting in improved outcomes, lower costs, and higher patient satisfaction.

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

Rave Reviews:

"I came to PAW because it provides case studies relevant to my industry. It has lived up to the expectation and I think it's the best analytics conference I've ever attended!"

 Shaohua Zhang, Senior Data Mining Analyst,  Rogers Telecommunications

"Hands down, best applied analytics conference I have ever attended. Great exposure to cutting-edge predictive techniques and I was able to turn around and apply some of those learnings to my work immediately. I've never been able to say that after any conference I've attended before!"

Jon Francis, Senior Statistician, T-Mobile

ASSESS AND SELECT THE RIGHT TECHNOLOGIES. Meet the industry’s top solutions providers, discover new solutions, and compare vendor offerings. The Predictive Analytics World Expo Hall is the best place to research and identify new vendor/partner prospects.

COLLEAGUES. Mingle, network and hang out with the industry’s best and brightest. Exchange experiences over lunch, coffee breaks and the conference reception to connect with people who face the same challenges as you.

GET STARTED. If you're new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there's no better place to get your bearings than Predictive Analytics World. See what other companies are doing, experience vendor demos, participate in discussions with the experts, network with your colleagues, and weigh your options!

Three ways to save:

1. Super Early Bird Registration by June 30, 2017 and save over $800.

2. Take $150 off the Early Bird or the Advance Two Day Pass registration fee with this posting's promotional discount code: ALL150.

3. Save an additional $200 on the 2 Day Pass for each additional attendee from the same company registered at the same time.

For inquiries e-mail or call 717-798-3495.


  • Predictive Analytics World for Business London – Oct 11-12, 2017
  • Predictive Analytics World for Business London Workshops – Oct 10-11, 2017
  • Predictive Analytics World for Business New York – Oct 29-Nov 2, 2017
  • Predictive Analytics World New York Workshops – Oct 29-Nov 2, 2017
  • Predictive Analytics World for Financial New York – Oct 29-Nov 2, 2017
  • Predictive Analytics World for Healthcare New York – Oct 29-Nov 2, 2017
  • Predictive Analytics World for Business Berlin – Nov 13-14, 2017
  • Predictive Analytics World for Business Berlin Workshops – Nov 15, 2017


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