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

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 Machine Learning:
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

All Sessions will Take Place in Room 1E14, Located in Hall 1E
Exhibit Hall Hours are Monday 8:00am - 7:00pm and Tuesday 8:00am - 3:30pm

8:00-8:45am Registration
Room: Hall 1E
8:00-9:10am Networking over Coffee
Room: Exhibit Hall
9:10-10:00am
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
10:00-10:30am Exhibits & Morning Coffee Break
Room: Exhibit Hall

Book Signing with Eric Siegel, author of The Power to Predict who Will Click, Buy, Lie, Or Die
10:30am-11:15am Analytics strategy
Case Study: Ernst & Young
Growing Customer Relationship Value through Analytics

Joe Kruse, Senor Manager, Ernst & Young LLP.
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

Vishwa Kolla, John Hancock Insurance
12:05-1:40pm Lunch
Room: Exhibit Hall
1:40-2:35pm
Keynote
Case Study: Signifyd
Real-Time Fraud Detection: Strategies for Speed and Actionability

Julia Minkowski, Signifyd (formerly Fiserv)
2:40-3:00pm Insurance; project management
Case Study: John Hancock
Analytics Capstone Projects: Embedding Analytics Throughout Your Organization

Robert M Horrobin, John Hancock
Michael Thurber, Elder Research
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 Coffee Break
Room: Exhibit Hall
3:55-4:15pm Trading
Enhancing The Human Trader with Predictive Analytics and Context Sensitive Data
Tom Doris, OTAS Technologies
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
Room: Exhibit Hall
7:00pm Dinner with Strangers
Meet at Registration

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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

All Sessions will Take Place in Room 1E14, Located in Hall 1E
Exhibit Hall Hours are Monday 8:00am - 7:00pm and Tuesday 8:00am - 3:30pm

8:00-8:45am Registration
Room: Hall 1E
8:00-8:45am Networking over Coffee
Room: Exhibit Hall
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
Opportunity - Driven Enterprise: Turning Business On Its Head

Krishna Kallakuri, diwo
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
Room: Exhibit Hall


Book Signing with Seth Stephens-Davidowitz, author of Everybody Lies
and former Google data scientist



Book Signing with Eric Siegel, author of The Power to Predict who Will
Click, Buy, Lie, Or Die
11:15-11:35am Alternative data sources
Google Searches and the Market
Seth Stephens-Davidowitz, Author, Everybody Lies and former Google data scientist
11:40-12:00pm Trading
Wall Street and the New Data Paradigm
Anasse Bari, New York University
12:00-1:15pm Lunch
Room: Exhibit Hall
Trading; analytics tactics
1:15-2:10pm Special Featured Session
How to Tell if Your Market Timing System Will Work: A New Measure of Model Quality

John Elder, Elder Research, Inc.
Expert Panel Shared with PAW Business in Room 1E10
2:15-3:00pm Expert Panel
Women in Predictive Analytics: Opportunities and Challenges

Moderator: Anne Robinson, Verizon Wireless
Panelists:
Tracie Coker Kambies, Deloitte Consulting LLP
Julia Minkowski, Signifyd (formerly Fiserv)
Pallavi Yerramilli, The Trade Desk
3:00-3:30pm Exhibits & Afternoon Coffee Break
Room: Exhibit Hall
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
Gary Anderberg, Gallagher Bassett

Post-Conference Workshops: Wednesday, November 1, 2017
Full-day Workshop
The Advanced Data Preparation Bootcamp: Whip your Data into Shape
Dean Abbott, Abbott Analytics
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Machine Learning Methods and Common Data Science Mistakes

Dr. John Elder, Elder Research, Inc.
Full-day Workshop
Spark on Hadoop for Machine Learning: Hands-On Lab
James Casaletto, MapR Technologies


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

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© 2017 Predictive Analytics World
Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer