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All level tracks Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level.


Agenda Overview – Boston – October 5-9, 2014
Pre-Conference Workshop: Sunday, October 5, 2014
Full-day Workshop
R for Predictive Modeling Hands-On:
Business and Healthcare

Max Kuhn, Director, Nonclinical Statistics, Pfizer
Room Federal
Full-day Workshop
Big Data: Proven Methods
You Need to Extract Big Value

Vladimir Barash, Senior Researcher, Graphika
Room: Beacon 1

Monday, October 6, 2014
(PAW Healthcare runs in parallel on this day - dual registration required)
8:00-9:00am Registration & Networking Breakfast
Room: Commonwealth Hall
9:00-9:10am Conference Chair Welcome
Eric Siegel, Predictive Analytics World
Room: Amphitheater
9:10-10:00am
Keynote
Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn
Sameer Chopra, Orbitz Worldwide
Room: Amphitheater
10:00-10:30am Exhibits & Morning Coffee Break
Room: Commonwealth Hall
  Track 1: All Levels
Moderator: Gayatri Patel
Room: Back Bay
Track 2: Expert/Practitioners
Moderator: Karl Rexer
Room: Amphitheater
10:30-11:15am Churn Modeling Persuasion Modeling (aka Uplift Modeling)
Case Study: nTelos Wireless All level tracks
Improving Customer Retention & Profitability
John Ainsworth, Elder Research, Inc.
Belinda Rushing, nTelos Wireless
Pinpointing the Persuadables:
Convincing the Right Customers and the Right Voters

Daniel Porter, BlueLabs
11:20-11:40am Churn Modeling Uplift Modeling
Case Study: Paychex All level tracks
Combat Client Churn
with Predictive Analytics

Philip O'Brien, Paychex
Case Study: Fidelity
Uplift Modeling: Introduction, Applications, Comparisons, and Latest Developments
Victor Lo, Fidelity Investments & Bentley University
11:45am-12:05pm Customer Satisfaction & Retention
Case Study: Citrix All level tracks
Predicting Customer Experience
Risk in B2B World

Mike Stringer, Madhav Chinta, & Jim Regetz, Citrix Data Science
12:05-1:30pm Lunch in Exhibit Hall
Room: Commonwealth Hall
1:30-2:15pm
Keynote
UPS Analytics The Road to Optimization

Jack Levis, UPS
Room: Amphitheater
2:15-2:35pm Vendor Elevator Pitches
            
       
Room: Amphitheater
  Track 1: All Levels
Moderator: Gayatri Patel
Room: Back Bay
Track 2: Expert/Practitioners
Moderator: David MacGugan
Room: Amphitheater
2:40-3:00pm Analytics Strategy Infrastructure Planning
Case Studies: CFPB, Capital One, Citibank & Bank of America All level tracks
Spotting the Wisdom in the Noise: Using Data Science to Identify and Eradicate Consumer Concerns
Brandon Purcell,
Beyond the Arc
Case Study: Facebook
Managing Large-Scale Infrastructure with Predictive Analytics
Clinton Brownley, Facebook
3:05-3:25pm Fraud Detection; Analytics in Gaming
Case Study: Activision All level tracks
Cheating Detection in Call of Duty
Josh Hemann, Activision
3:25-3:55pm Exhibits & Afternoon Break
Room: Commonwealth Hall
3:55-4:15pm Large-Scale Continuous Learning Workforce Analytics - Retention
Case Studies: eBay All level tracks
Importance of Speed and Relevance to eBay and Our Big Data Strategies
Gayatri Patel, eBay
Case Study: A Major Financial Services
Call Center

Data Science Approach to Reduce Call Center Employee Attrition
Pasha Roberts, Talent Analytics
4:20-4:40pm Analytics in Consumer Banking
Embedding Predictive Analytics Within the Corporate Culture-What are the Challenges in the Big Data World?All level tracks
Richard Boire, Boire Filler Group
4:45-5:05pm Workforce Analytics - Workload Management Algorithmic Trading
Case Study: IBM All level tracks
Data-Driven Transformation in End-to-End Sales Transaction Support
Pitipong Lin & Aliza Heching, IBM
Predictive analytics for Asset Managers
Steve Krawciw, Able Markets
5:10-5:30pm Risk Detection; Government Applications Cloud Analytics
Case Study: State Auditor's Office All level tracks
Risk Analytics Engine at
State Auditor's Office

Kleber Gallardo, Alivia Technology
Case Study: Verizon
Third Generation Contextual Learning as a Service and Consumer Data-Haven Practice
Madhusudan Raman, Verizon
5:30-7:00pm Networking Reception

Room: Commonwealth Hall

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DAY 2: Tuesday, October 7, 2014
(PAW Healthcare runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
Room: Commonwealth Hall
8:45-8:50am Conference Chair Welcome
Eric Siegel, Predictive Analytics World
Room: Amphitheater
8:50-9:10am Diamond Sponsor Presentation
Realizing competitive value in the emerging Data Economy through Big Data Analytics
John Whittaker, Dell Software
Dell Logo
Room: Amphitheater
9:10-10:00am
Keynote
Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up
John Foreman, MailChimp
Room: Amphitheater
10:00-10:30am Exhibits & Morning Coffee Break
Room: Commonwealth Hall
  Track 1: All Levels
Moderator: Dave Dimas
Room: Back Bay
Track 2: Expert/Practitioners
Moderator: David MacGugan
Room: Amphitheater
10:30-11:15am Project Risk Assessment Data Cleansing
Case Study: State Street Corporation All level tracks
How Can Predictive Analytics Help Avoid $1.2 Million in IT Project Development Costs?
Scott Lancaster, State Street Corp.
Data Preparation from the Trenches: 4 Approaches to Deriving Attributes
Dean Abbott, Abbott Analytics
11:15-11:35am Big Data Ensemble Models
Case Study: Citi
Predicting Hard Disk Device Failure Using Random Decision Forests
Chris Simokat, Citi
Case Study: Sears Holdings Corporation All level tracks
Hadoop Use Cases: Speeding Up Data Workloads
Andy McNalis, Sears Holding Corporation
11:40am-12:00pm Data Privacy
Predictive Analytics and
Privacy by Design
All level tracks
Jeff Kosseff, Covington & Burling, LLP
12:00-1:30pm Lunch in Exhibit Hall
Room: Commonwealth Hall
1:30-2:15pm Special Plenary Session
The Power (and Peril) of Predictive Analytics

Dr. John Elder, Elder Research, Inc.
Room: Amphitheater
2:15-3:00pm Expert Panel
Necessary Skills of the Quant: Finance, Fraud, and Marketing

Moderator: Eric Siegel, Predictive Analytics World
Panelists: Sameer Chopra, Orbitz Worldwide
Jack Levis, UPS
Thomas Hill, Dell Software Group / StatSoft
Room: Amphitheater
3:00-3:30pm Exhibits & Afternoon Break
Room: Commonwealth Hall
  Track 1: All Levels
Moderator: Dave Dimas
Room: Back Bay
Track 2: Expert/Practitioners
Moderator: Mike Kennedy
Room: Amphitheater
3:30-3:50pm Targeting Email Credit Scoring
Case Study: Ameublements Tanguay All level tracks
Predictive Analytics to the Rescue of Email Marketing
Roger Plourde, Intema Solutions
Case Study: Kabbage
Data Science Approach to Small and Medium Business Lending

Pinar Donmez, Kabbage
3:55-4:15pm Advertising Effectiveness
Case Study: Baseball Stadiums All level tracks
A Fresh Look at the Effects of Promotion on Baseball Attendance Using Hierarchical Bayesian Analysis
Tyler Deutsch, Northwestern University and Sagence
Viswanath Srikanth, Northwestern University; IBM
4:15pm-4:35pm Enterprise-wide Deployment Marketing Attribution
Oracle's Internal Use of Data Mining and Predictive Analytics All level tracks
Charles Berger, Oracle
Case Study: LinkedIn
Increasing B2B Marketing Contribution through Optimal Marketing Attribution Analysis Techniques
May Xu, LinkedIn
Neethi Mary Thomas & Rajat Mishra, Mu Sigma
4:40pm-5:00pm Analytics Tools
Python for Data Science
Field Cady, Think Big Analytics

Post-Conference Workshop: Wednesday, October 8, 2014
Full-day Workshop
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Dr. John Elder, CEO & Founder, Elder Research, Inc.
Room: Backbay
Full-day Workshop
Supercharging Prediction with Ensemble Models
Dean Abbott, President, Abbott Analytics
Room: Beacon 1

Post-Conference Workshop: Thursday, October 9, 2014
Full-day Workshop
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, President, Abbott Analytics
Workshop sponsored by:
Room: Beacon 1

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