All level tracks Track 1 sessions are for all levels.
Track 2 sessions are expert/practitioner level.


Agenda Overview – Boston – Oct 30 - Sept 4, 2012
DAY 1: Monday, October 1, 2012
7:30-9:00am Registration & Breakfast
9:00-9:45am
Keynote
Case Study: LinkedIn and Accretive Health
Beyond Big Data: Better Living Through Data Science
Scott Nicholson, Accretive Health (formerly of LinkedIn)
9:45-10:05am Gold Sponsor Presentation
Raising the Bar for Predictive Analytics Deployment: The Newest Techniques
Jason Verlen, IBM Software Group
IBM
10:05-10:15am Gold Sponsor Presentation
Modeling Renewal Probability In Order to Boost It at Tripadvisor
JMP
Michael Berry, Trip Advisor
10:15-10:40am Breaks / Exhibits
  Track 1: All Levels
Moderator: Gregory Piatetsky-Shapiro
Track 2: Expert/Practitioners
Moderator: Karl Rexer
10:40-11:25am Thought Leadership HR Analytics
The Practical Data Scientist All level tracks
Dan Woods, Evolved Media and a Forbes Contributor
Case Study: U.S. Special Forces
Hiring and Selecting Key Personnel Using Predictive Analytics
Dean Abbott, Abbott Analytics, Inc.
11:30am-12:15pm
Keynote
Charting Collections of Connections in Social Media:
Creating Maps and Measures with NodeXL

Marc Smith, Chief Social Scientist, Connected Action Consulting Group
12:15-12:30pm Platinum Sponsor Presentation
Foresee
Managing Forward: Analytics For Today's Multi-Channel, Multi-Device Consumer
Eric Feinberg, ForeSee
12:30-12:45pm Lightning Round of 2-Minute Sponsor Presentations
FICO   Statsoft   Salford Systems   UCI     Pervasive   Decision Systems  
12:45-1:40pm Lunch / Exhibits
1:40-2:25pm Keynote
Case Study: Verizon
Influencers, Skeptics, and Data Geeks: Using Analytics to Drive Organizational Change
Anne G. Robinson, Verizon Wireless
2:25-2:55pm Platinum Sponsor Presentation

How Big Data Delivers a Competitive Advantage
Kent McCormick, Lattice Engines
  Big Data Market Mix Optimization
Moderator: Karl Rexer

Big Data and Big Analytics Trends: The Promise and the Hype All level tracks
Gregory Piatetsky-Shapiro, KDNuggets
3:00-3:45pm Case Study: Penske
Marketing Mix Optimization: Forecasting and decision making under uncertainty
Chris Dickey, The Martin Agency, David Henkel, Penske, Neeraj Kulkarni, Martin Agency & John Busbice, MIDA
3:50-4:10pm Predictive Project Management Self-Updating Models Marketing Lab
Case Study: Tangent Design EngineeringAll level tracks
Applying Predictive Analytics to Improve Project Management
Brett Bender, LiquidPlanner
Case Study: Ace Cash
Express

Data Driven Modeling
Senthil Ramanath, Ace Cash Express
Case Study: Predicting Sales through Brand Research
All level tracks
Closing the Chasm Between Marketing and Sales
Amitabh Bose, WNS Global Services
4:10-4:35pm Breaks / Exhibits
4:35-5:20pm Healthcare Analytics
  Case Study: Pfizer
Right Medicine, Right Patient
Max Kuhn, Pfizer
5:25-6:10pm Economic Research and Forecasting Clinical Healthcare
Case Study: Rebellion ResearchAll level tracks
Applying Machine Learning to Global
Economics

Alexander Fleiss, Rebellion Research
Case Study: Sisters of Mercy Health
Systems

Framework for Detection of Clinical States & Disease Onset Using Electronic Health Record (EHR) Data
Jeni Fan & Juergen A. Klenk, Booz Allen Hamilton
6:10-7:30pm Reception / Exhibits
7:30-10:00pm Boston Predictive Analytics MeetUp
Lightning Talks:
"Data Deluge!, U.S. Jobs Outlook, D3 DataViz, R Data Mining, Random Forests"

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DAY 2: Tuesday, October 2, 2012
8:00-9:00am Registration & Breakfast
9:00-9:45am
Keynote
Putting IBM Watson to Work
Robert Jewell, Director, Global Business Development & Partnerships, IBM Watson Solutions
9:45-10:05am Platinum Sponsor Presentation
Deloitte
Forensic Analytics Discover insights that can help you move forward
Carol Tannous, Deloitte Financial Advisory Services LLP
10:05-10:40am Breaks / Exhibits
10:40am-11:25am Expert Panel
Big Data for Predictive Analytics
Moderator: Eric Siegel, Ph.D., Predictive Analytics World
Satish Lalchand, Deloitte Financial Advisory Services LLP
Jason Verlen, IBM Software Group
Eric Feinberg, ForeSee
11:30-11:40am Gold Sponsor Presentation

Data – Hurdle or Springboard? How to leverage data to transform your business?
Mukund Raghunath, Mu Sigma Inc.
  Sponsored Lab
11:45-12:30pm Lab Session: Live Topical Demo
Building Customer Relationships Through IBM SPSS Predictive Analytics
IBM
Tom Hamilton, ING U.S.
Jason Verlen, IBM Software Group
12:30-1:30pm Lunch / Exhibits
1:30-2:15pm Special Plenary Session
Becoming an Ace with a Robot as your Wingman!
John Elder, Elder Research, Inc.
2:20-2:25pm Gold Sponsor Presentation
"Quest for Big Insight"- Path to Actionable Insights from the Data Deluge

Sanjit Bhoumick, WNS Global Services
  Track 1: All Levels
Moderator: Karl Rexer
Track 2: Expert/Practitioners
Moderator: Eric Siegel
2:30-3:15pm Crowdsourcing Data Mining True Lift Modeling
Machines Learn, But Can They Teach? All level tracks
Anthony Goldbloom, Kaggle
Case Study: Staples
True-Lift Modeling: Mining for the Most Truly Responsive Customers and Prospects
Jane Zheng, Focus Optimal

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3:15-3:55pm Breaks / Exhibits
  Track 1: All Levels
Moderator: Karl Rexer
Track 2: Expert/Practitioners
Moderator: Eric Siegel
3:55-4:15pm Financial Services Detecting Cannibalization
Case Study: TripAdvisor
Cannibalization Analysis Using Matched Pairs at TripAdvisor
Michael Berry, TripAdvisor
Case Study: Commerzbank, Lloyds,
Ursus Advisors
All level tracks
Optimization in Financial Services
Frank Bria, Tower Group
4:20-4:40pm Vendor Recommendations
(Beyond Product Recs)
Case Study: Intuit and MintAll level tracks
Restaurant Recommendation using Financial Likeness
Saikat Mukherjee, Intuit
4:45-5:30pm Text Mining and Predictive Analytics
Contextually Augmented Predictive Models for Call Center Next Best Action
Shantanu Godbole, IBM GPS CRM

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Post-Conference Workshop: Tuesday, Oct 2, 2012
Three hour evening Workshops– 6:30-9:30pmAll level tracks
R Bootcamp: For Newcomers to R
Max Kuhn, Director, Nonclinical Statistics, Pfizer

Post-Conference Workshops: Wednesday, Oct 3, 2012
Full-day WorkshopAll level tracks Full-day WorkshopAll level tracks
The Best & the Worst of Predictive Analytics: Predictive Modeling Methods & Common Data Mining Mistakes
John Elder, CEO & Founder, Elder Research, Inc
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, Director, Nonclinical Statistics, Pfizer

Post-Conference Workshop: Thursday, Oct 4, 2012
Full-day WorkshopAll level tracks
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, President, Abbott Analytics
Sponsored by: Statsoft

Post-Conference Workshop: Friday, Oct 5, 2012
Full-day WorkshopAll level tracks
Making Text Mining Work: Practical Methods and Solutions
Andrew Fast, Director of Research, Elder Research Inc.


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