Track 1 sessions are for all levels.
Track 2 sessions are expert/practitioner level.| 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) |
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| 9:45-10:05am | Gold Sponsor Presentation Raising the Bar for Predictive Analytics Deployment: The Newest Techniques Jason Verlen, IBM Software Group  |
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| 10:05-10:15am | Gold Sponsor Presentation Modeling Renewal Probability In Order to Boost It at Tripadvisor  Michael Berry, Trip Advisor |
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| 10:15-10:40am | Breaks / Exhibits | |
| Track 1: All Levels Moderator: Gregory Piatetsky-Shapiro |
Track 2: Expert/Practitioners Moderator: Karl Rexer |
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| 10:40-11:25am | Thought Leadership | HR Analytics |
The Practical Data Scientist  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. |
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| 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 |
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| 12:15-12:30pm | Platinum Sponsor Presentation Managing Forward: Analytics For Today's Multi-Channel, Multi-Device Consumer Eric Feinberg, ForeSee |
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| 12:30-12:45pm | Lightning Round of 2-Minute Sponsor Presentations        
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| 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 |
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| 2:25-2:55pm |
Platinum Sponsor Presentation How Big Data Delivers a Competitive Advantage Kent McCormick, Lattice Engines |
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| Big Data | Market Mix Optimization Moderator: Karl Rexer |
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Big Data and Big Analytics Trends: The Promise and the Hype Gregory Piatetsky-Shapiro, KDNuggets |
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| 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 |
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| 3:50-4:10pm | Predictive Project Management | Self-Updating Models | Marketing Lab |
| Case Study: Tangent Design Engineering
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 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 Research 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 |
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| 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 |
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| 9:45-10:05am | Platinum Sponsor Presentation Forensic Analytics – Discover insights that can help you move forward Carol Tannous, Deloitte Financial Advisory Services LLP |
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| 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 |
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| 11:30-11:40am | Gold Sponsor Presentation Data – Hurdle or Springboard? How to leverage data to transform your business? Mukund Raghunath, Mu Sigma Inc. |
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| Sponsored Lab | ||
| 11:45-12:30pm | Lab Session: Live Topical Demo Building Customer Relationships Through IBM SPSS Predictive Analytics Tom Hamilton, ING U.S. Jason Verlen, IBM Software Group |
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| 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. |
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| 2:20-2:25pm | Gold Sponsor Presentation "Quest for Big Insight"- Path to Actionable Insights from the Data Deluge  Sanjit Bhoumick, WNS Global Services |
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| Track 1: All Levels Moderator: Karl Rexer |
Track 2: Expert/Practitioners Moderator: Eric Siegel |
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| 2:30-3:15pm | Crowdsourcing Data Mining | True Lift Modeling |
| Machines Learn, But Can They Teach? Anthony Goldbloom, Kaggle |
Case Study: Staples
True-Lift Modeling: Mining for the Most Truly Responsive Customers and Prospects Jane Zheng, Focus Optimal See the white paper on this topic |
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| 3:15-3:55pm | Breaks / Exhibits | |
| Track 1: All Levels Moderator: Karl Rexer |
Track 2: Expert/Practitioners Moderator: Eric Siegel |
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| 3:55-4:15pm | Financial Services | Detecting Cannibalization |
| Case Study: TripAdvisor Cannibalization Analysis Using Matched Pairs at TripAdvisor Michael Berry, TripAdvisor |
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| Case Study: Commerzbank, Lloyds, Ursus Advisors Optimization in Financial Services Frank Bria, Tower Group |
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| 4:20-4:40pm | Vendor Recommendations (Beyond Product Recs) |
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| Case Study: Intuit and Mint Restaurant Recommendation using Financial Likeness Saikat Mukherjee, Intuit |
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| 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– 6:30-9:30pm |
| R Bootcamp: For Newcomers to R Max Kuhn, Director, Nonclinical Statistics, Pfizer |
| Post-Conference Workshops: Wednesday, Oct 3, 2012 | |
| Full-day Workshop |
Full-day Workshop |
| 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 Workshop |
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| Advanced Methods Hands-on: Predictive Modeling Techniques Dean Abbott, President, Abbott Analytics Sponsored by:  |
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| Post-Conference Workshop: Friday, Oct 5, 2012 | ||
Full-day Workshop |
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| Making Text Mining Work: Practical Methods and Solutions Andrew Fast, Director of Research, Elder Research Inc. |
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