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

All level tracks Blue circle workshops are for All Levels
Red triangle workshops are Expert/Practitioner Level


Agenda Overview – Financial – October 29-November 2, 2017
Pre-Conference Workshops: Sunday, October 29, 2017
Full-day Workshop
Big Data: Proven Methods You Need
to Extract Big Value

Vladimir Barash, Graphika
Morning Session Workshop
R Bootcamp: For Newcomers to R
Max Kuhn, RStudio
Full-day Workshop
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, RStudio

DAY 1, Monday, October 30, 2017
(PAW Business runs in parallel on this day - dual registration required)
Conference Moderator: Steven Ramirez, Beyond the Arc

8:00-8:45am Registration & Networking Breakfast
8:50-9:40am
Keynote
 Chatbots, Robo-Advisors, and AI, Oh My! Predictive Analytics and Machine Learning Case Studies for Financial Services and Fintech

Steven Ramirez, Beyond the Arc
9:40-10:00am Diamond Sponsor Presentation
10:00-10:30am Exhibits & Morning Coffee Break
10:30am-11:15am Analytics strategy
Case Study: Ernst & Young
Growing Customer Relationship Value through Analytics

Sameer Gupta, Ernst & Young
11:20am-11:40am Insurance claims and fraud
Case Study: Plymouth Rock
How to Prevent Medical Abuse in Automobile Injury Claims Through Predictive Analytics

Li Yang, Plymouth Rock
11:40-12:00pm Analytical methods
Case Study: John Hancock
Black Box vs. White Box, Single Model vs. Stratified - Who What Where When Why How

Jun Sheng, John Hancock
12:05-1:30pm Lunch in the Exhibit Hall
1:30-2:15pm
Keynote
Case Study: Fiserv
Real-Time Fraud Detection: Strategies for Speed and Actionability

Julia Minkowski, Fiserv
2:15-2:35pm Gold Sponsor
2:40-3:00pm Risk management; customer acquisition
Case Study: New York Life
Risk Prediction in Life Insurance Industry

Simon Gao, New York Life
Rita Fuller, New York LIfe
3:05-3:25pm Risk management; analytical methods
Improving Credit Scoring with Hierarchical Bayesian Modeling
Wen Shi, Concord Advice
Dongyang Fu, Concord Advice
3:25-3:55pm Exhibits & Afternoon Break
3:55-4:15pm Trading
Enhancing The Human Trader with Predictive Analytics and Context Sensitive Data
Seth Merrin, Liquidnet
4:15-4:45pm Social data for trading
Case Study: Twitter
Leveraging Alternative Data Sources to Gain a Critical Competitive Advantage

Stephen Morse, Formerly at Twitter
4:45-5:30pm Deep learning for porfolio management
Predictive Modeling Using Deep Learning with TensorFlow
Aaron Goldenberg, Independent Quantitative Consultant
5:30-7:00pm Networking Reception

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DAY 2, Tuesday, October 31, 2017
(PAW Business runs in parallel on this day - dual registration required)
Conference Moderator: Steven Ramirez, Beyond the Arc

8:00-8:45am Registration & Networking Breakfast
8:45-8:50am Welcome from the Event Master-of-Ceremonies
Steven Ramirez, Beyond the Arc
9:00-9:40am
Keynote
Case Study: XL Catlin
Model Deployment - If You Build It, Will They Come?

James Gottshall, XL Catlin
9:40-10:00am Diamond Sponsor Presentation
10:00-10:45am Analytics strategy
Case Study: MetLife
Pragmatic Analytics for Financial Services

Michael Grandy, MetLife
10:45-11:15am Exhibits & Morning Coffee Break
11:15-11:35am Data-driven credit management
Case Study: Dealertrack (a subsidiary of Cox Automotive)
Data Brokering for the Lender Community - Building an Analytics Based Produce Using Composite Data

Kevin Colberg, Dealertrack (subsidiary of Cox Automotive)
11:40-12:00pm Trading
Wall Street and the New Data Paradigm
Anasse Bari, New York University
12:00-1:15pm Lunch in the Exhibit Hall
Trading; analytics tactics
1:15-2:00pm Special Featured Session
How to Tell if Your Market Timing System Will Work: A New Measure of Model Quality

John Elder, Elder Research, Inc.
2:00-2:15pm Sponsor
2:15-3:00pm Expert Panel
Women in Predictive Analytics: Opportunities and Challenge

Moderator: Anne Robinson, Verizon Wireless
Panelists: TBA
3:00-3:30pm Exhibits & Afternoon Break
3:30-4:15pm Analytics strategy
Case Study: Citigroup
Predictive Analytics in Today's Era of Digital, Machine Learning, and AI:
A Financial Industry Perspective

Yulin Ning, Citigroup
4:15-5:00pm Litigation prediction - analytics in law
Case Study: Gallagher Bassett
Workers' Compensation Litigation Propensity Predictive Analytics

Mei Najim, Gallagher Bassett

Post-Conference Workshops: Wednesday, November 1, 2017
Full-day Workshop
Advanced Methods:
Data Preparation and Modeling Techniques

Dean Abbott, Abbott Analytics, Inc
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

Dr. John Elder, Elder Research, Inc.
Full-day Workshop
Hadoop for Predictive Analytics: Hands-On Lab
James Casaletto, MapR Technologies


Post-Conference Workshop: Wednesday, November 2, 2017
Full-day Workshop
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics

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