October 23-27, 2016
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 23-27, 2016
Pre-Conference Workshop: Sunday, October 23, 2016
Three hour WorkshopRoom 1A02
R Bootcamp: For Newcomers to R
Max Kuhn, Pfizer
Full-day WorkshopRoom 1A03
Big Data: Proven Methods You Need
to Extract Big Value

Vladimir Barash, Graphika

Pre-Conference Workshop: Monday, October 24, 2016
Full-day WorkshopRoom 1A23
R for Predictive Modeling:
A Hands-On Introduction

Max Kuhn, Pfizer
Full-day WorkshopRoom 1A24
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, Abbott Analytics, Inc
Sponsored by: Dell Statistica Logo


Day 1: Tuesday, October 25, 2016
(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 1A24
8:00-8:45am Registration & Networking Breakfast
Room: Exhibit Area 1A
8:45-8:50am Welcome from the Event Master-of-Ceremonies
Steven Ramirez, Beyond the Arc
8:50-9:40am
KEYNOTE
Case Study: Barclays
Big Data Analytics Front-to-Back: Application Case Studies in Financial Services
in the Back and Front offices

Usama Fayyad, Barclays
9:40-10:00am Diamond Sponsor Presentation
4 Ways the Financial Services Industry Can Unlock the Possibilities of Big Data
Eric Hoffman, EastBanc Technologies
10:00-10:30am Exhibits & Morning Coffee Break
Room: Exhibit Area 1A
10:30-11:15am
Expert Panel
Gaining Traction: How to Establish Buy-In for Predictive Analytics

Moderator: Steven Ramirez, Beyond the Arc
Panelists: Anasse Bari, NYU
Wolf Ruzicka, EastBanc Technologies
Sri Raghavan, Teradata Aster
11:20am-12:05pm Stress Testing, Cross-Enterprise Applications
Predictive Analytics for Stress Testing - Industry Challenges
Sanjay Gupta, PNC Bank
Namit Sureka, EXL Analytics
12:05-1:50pm Lunch in the Exhibit Hall
Room: Exhibit Area 1A
1:50-2:35pm
KEYNOTE
Accelerating Analytics Maturity in the Financial Services Industry
Bin Mu, MetLife
2:40-3:25pm Risk Management
Case Study: Paychex
Risk Management Algorithms - Paving the Way to Value Creation
Frank Fiorille, Paychex
3:25-3:55pm Exhibits & Afternoon Break
Room: Exhibit Area 1A
3:55-4:40pm Algorithmic Trading and Beyond
What Data Scientists Can Learn from Quants
Michael Li, The Data Incubator
4:45-5:30pm Best Practices
Q&A: Ask Dean and Steve Anything (about Best Practices)
Dean Abbott, SmarterHQ
Steven Ramirez, Beyond the Arc
5:30-7:00pm Networking Reception
Room: Exhibit Area 1A

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Day 2: Wednesday, October 26, 2016
(PAW Business runs in parallel on this day - dual registration required)
(The Predictive Analytics Times Executive Breakfast also runs in parallel on this day)

Conference Moderator: Steven Ramirez, Beyond the Arc
All sessions will take place in Room 1A24
8:00-8:45am Registration & Networking Breakfast
Room: Exhibit Area 1A
9:00-9:05am Welcome from the Event Master-of-Ceremonies
Steven Ramirez, Beyond the Arc
9:05-9:55am
KEYNOTE
Case Study: FICO
Fraud Screening for 2/3rds of All Card Transactions: A Consortium and Its Data

Scott Zoldi, FICO
10:00-10:45am Cross-Enterprise Applications
Case Study:Bizfi
Leveraging Predictive Analytics on the Path to Fintech Success

Steven Ramirez, Beyond the Arc
Tomo Matsuo, Bizfi
10:45-11:15am Exhibits & Morning Coffee Break
Room: Exhibit Area 1A
11:15am-12:00pm Predictive Investing (VC)
Case Study: Microsoft Strategy
Predicting Startup Success: Finding the Unicorns among Wildebeests

Mukund Mohan, Microsoft Strategy
12:00-1:15pm Lunch in the Exhibit Hall
Room: Exhibit Area 1A
  Analytical Methods
1:15-2:00pm SPECIAL FEATURED SESSION
Luck, Skill, or Torture? How Target Shuffling Can Tell if What Your Data Says is Real
John Elder, Elder Research, Inc.
2:00-2:10pm Sponsor Presentation
Rapid Execution of Enterprise Scale Machine Learning with Mortgage Data and the R Language
Roger Fried, Teradata
Teredata Logo
2:15-3:00pm
Applications in Finance
Case Study: OCBC Bank (Singapore)
Challenging the Dogma: Predictive Analytics Problems
Poorly Tackled by Theoretical Finance

Marcelo Labre, OCBC Bank
3:00-3:30pm Exhibits & Afternoon Break
Room: Exhibit Area 1A
3:30-4:15pm Price Prediction
Case Study: Hopper
Buy or Wait? Consumer-Friendly Airfare Prediction or How the Bunny Saves You Money

Patrick Surry, Hopper
4:20-5:05pm Risk Management
Case Study: GE Capital
Importance of Model Risk Management in Financial Institutions
Hevel Jean-Baptiste, GE Capital

Post-Conference Workshop: Thursday, October 27, 2016
Full-day WorkshopRoom 1A23
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

Dr. John Elder, Elder Research, Inc.
Full-day WorkshopRoom 1A24
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics
Sponsored by:
Full-day WorkshopRoom 1A11
Hadoop for Predictive Analytics: Hands-On Lab
James Casaletto, MapR Technologies

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