OCT 29-NOV 2, 2017

Predictive Analytics World for Business focuses on concrete examples of deployed predictive analytics. Hear from the horse’s mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling and machine learning and the kind of business results they achieve.


Featured Speakers

Anne G. Robinson
Anne G. Robinson

Chief Strategy Officer

Jack Levis
Jack Levis

Formerly UPS (retired), now Chief Product Strategist

Claudia Perlich
Claudia Perlich

Chief Scientist


Dean Abbott
Dean Abbott

Chief Data Scientist

Hai Harari
Hai Harari

Director, Talent Intelligence and Analytics

Predictive Analytics World in numbers







Previous attendees describe what they found most valuable at PAW:


Simon Padron, Senior Engineer - R&D, Parker Hannifin

Had an amazing week of great insights into the world of machine learning and deep learning at the Predictive Analytics World Conference. I leave with lots of notes and expanded knowledge into the latest state of the art methods.

Ymke de Jong, Program Lead - Data & AI, Philips

Great event with great people! Learned a lot. I am looking forward to bring our learnings into practice!

Darin Conti, Head of Commercial Predictive Analytics, S&P Global Market Intelligence

Machine Learning Week provides a great opportunity for analytics managers and teams early on in their ML journey to learn from experienced practitioners and gain actionable insights. In addition, there is a diversity of topics and sessions from which to choose and ample time to socialize/network with attendees.

John Crissman, Research Analyst, CNA Corporation

Machine Learning Week is the place to be if you want to learn current best practices and engage with industry leaders.

William Wilkins, VP, Chief Risk and Analytics Officer, Safety National Casualty Corporation

I like coming to the event since it caters not just to the practitioner, but those who need to help the practitioner demonstrate the value of the analytics products.

Anasse Bari, Ph.D., Associate Professor, New York University

Predictive Analytics World was excellent! The organization was phenomenal and the speakers were so interesting. Dr. Eric Siegel, the founder of PAW, is a visionary and a leader in the machine learning and predictive analytics fields. This is by far one of the best conferences. It not only brings leaders on the field together, but also offers practical hands-on with real applications in healthcare, business, manufacturing, government, and financial services.

James McCaffrey- Senior Scientist Engineer, Microsoft

The bottom line: the event was really good — I give it an overall grade of an A- which is (tied for) the best grade I’ve ever given to any conference.

Kenton - Economist, Nike

The emphasis on practical application of analytics to real world business problems and decision making is just right at this conference!

Jason King - Principal Scientist, Procter and Gamble

A 360 degree event - great for anyone who wants to know where data analytics is at and where it's going.

Allison Gonzalez - Decision Science Analyst, USAA

Just do it! Everybody is doing it! I attended PAW San Francisco 2016 and I come back with many new contacts, new friends, and more knowledgeable.

Indu Sriram - Digital Marketing Analytics Manager, Staples

I'm happy we have a conference like Predictive Analytics World - where practitioners like myself can meet other professionals and learn all the latest and greatest. It's a go-to resource and I often attend - hats off to this conference's producers!

Delivering on the promise of big data

Co-located with:

PAW Financial
PAW Healthcare
PAW Executive Breakfast

Diamond Sponsors

DataRobotdiwoDun & BradstreetThe Trade Desk Inc.

Silver Sponsors

DatabaseUSAUniversity of California, Irvine Continuing Education - PAW



Media Partners

Big Data Analytics News (BDAN)CMSWire.comData Science CentralDM RadioKDnuggetsStatistics.comMachine Learning Times

Association Partner

Digital Analytics Association

Training Workshops

Sunday, October 29, New York
R Bootcamp: For Newcomers to R
Max Kuhn, Software Engineer, RStudio

Sunday, October 29, New York
R for Machine Learning: A Hands-On Introduction
Max Kuhn, Software Engineer, RStudio

Sunday, October 29, New York
Big Data: Proven Methods You Need to Extract Big Value
Vladimir Barash, Senior Researcher, Graphika

Wednesday, November 1, 2017, New York
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Dr. John Elder, CEO & Founder, Elder Research, Inc.

Wednesday, November 1, 2017, New York
Spark on Hadoop for Machine Learning: Hands-On Lab
James Casaletto, Principal Solutions Architect, MapR Technologies

Wednesday, November 1, 2017, New York
The Advanced Data Preparation Bootcamp: Whip your Data into Shape
Dean Abbott, President, Abbott Analytics

Thursday, November 1, 2017, New York
Supercharging Prediction with Ensemble Models
Dean Abbott, President, Abbott Analytics

Online Workshop
Predictive Analytics Applied – An Online Introduction
Eric Siegel, Ph.D., Conference Founder, Predictive Analytics World