Predictive Analytics World Conference: Agenda At a Glance

Pre-Conference Workshop: Sunday, October 16, 2011

Half-Day Workshop

R Bootcamp: for Newcomers to R
Max Kuhn, Director, Nonclinical Statistics, Pfizer
Room: Madison

Pre-Conference Workshops: Monday, October 17, 2011
Full-day Workshop Predictive Analytics: Fundamentals and Use Cases Piyanka Jain, CEO, Aryng.com Puneet Sharma, Senior Manager, PayPal Room: Clinton	Full-day Workshop R for Predictive Modeling: A Hands-On Introduction Max Kuhn, Director, Nonclinical Statistics, Pfizer Room: Madison

Pre-Conference Workshops: Tuesday, October 18, 2011
Full-day Workshop Driving Enterprise Decisions with Business Analytics James Taylor, CEO, Decision Management Solutions Room: Madison	Full-day Workshop Hands-On Business Analytics: Insights to Impact Piyanka Jain, CEO, Aryng.com Puneet Sharma, Senior Manager, PayPal Room: Clinton	Full-day Workshop Hands-On Predictive Analytics with SAS Enterprise Miner Dean Abbott, President, Abbott Analytics Room: Mercury Ballroom

DAY 1: Wednesday October 19, 2011
7:30am-9:00am	Registration & Breakfast
9:00am-9:45am	Keynote Persuasion by the Numbers: Optimize Marketing Influence by Predicting It Eric Siegel, Ph.D., Program Chair, Predictive Analytics World Room: Gramercy
9:45am-10:05am	Diamond Sponsor Presentation Speeding Up Exploration John Sall, SAS Room: Gramercy
10:05am-10:45am	Break / Exhibits
	Track 1 All Levels	Track 2 Expert/Practitioner	Track 3 on Financial Services
	Insurance Applications	Survey Analysis	e-Commerce: Thought Leadership
10:45am-11:05am	Case Study: Infinity Insurance Next Generation Claims Systems James Taylor, Decision Management Solutions Room: Gramercy B	Case Study: YMCA Turning Member Satisfaction Surveys into an Actionable Narrative Dean Abbott, Abbott Analytics & Bill Lazarus, Seer Analytics, LLC Room: Gramercy A	Case Study: PayPal / eBay Putting Predictive Analytics into Context: The Analytics Value Chain Piyanka Jain, Aryng.com & Puneet Sharma, PayPal Room: Murray Hill A

11:10am-11:30am	Gold Sponsored Presentations Room: Gramercy B
11:35am-12:20pm	Special Plenary Session The Future of Targeting and On-Line Marketing – Predictive Analytics on Big Data Usama Fayyad, Chairman & CTO of ChoozOn, Former Chief Data Officer, Yahoo! Room: Grand Ballroom
12:20pm-12:35pm	Lightning Round of 2-minute Vendor Presentations Room: Grand Ballroom
12:35pm-1:35pm	Birds of a Feather Lunch / Exhibits
	Track 1 All Levels	Track 2 Expert/Practitioner	Track 3 on Financial Services
	Thought Leadership	Demand Forecasting	Risk Management
1:35pm-1:55pm	Case Study: LinkedIn Data Science at LinkedIn: Iterative, Big Data Analytics and You Manu Sharma, LinkedIn Room: Gramercy B	Case Study: Cox Communications What Happens Next? Automated Smart Demand Forecasting Bob Wood, Cox Communications Room: Gramercy A	Case Study: ACE Cash Express Credit Risk Analytics Framework for Subprime Loans Senthil Ramanath, ACE Cash Express Room: Murray Hill A
		Forecasting (Per-Product); Retail	Direct Marketing New Products
2:00pm-2:20pm		Case Study: A Top Global Retailer Broad Scale Predictive Modeling Optimization in Marketing and Retail Sales Felipe Fernandez, Interefe (Brazil) Room: Gramercy A	Case Study: A Top 5 International Bank Product Testing in Financial Services: Financial Analytics Dinabandhu Bag, National Institute of Technology, India Room: Murray Hill A
2:25pm-3:10pm	Keynote Building Watson – An Overview of the DeepQA Project David C. Gondek, IBM Technical Lead, Watson Knowledge Capture and Learning and Healthcare Adaptation, IBM Research Room: Grand Ballroom
3:10pm-3:30pm	Diamond Sponsor Presentation The Analytical Revolution Colin Shearer, IBM Room: Grand Ballroom
3:30pm-3:40pm	Industry Trends 2011 Data Miner Survey Results: Highlights Karl Rexer, Rexer Analytics Room: Grand Ballroom
3:40pm-4:15pm	Break / Exhibits
	Track 1 All Levels	Track 2 Expert/Practitioner	Track 3 on Financial Services
	Crowdsourcing Data Mining; Healthcare	Lab Session	Uplift Modeling
4:15pm-5:00pm	Case Study: Kaggle Predictive Modeling Competitions and the Heritage Health Prize Anthony Goldbloom, Kaggle Room: Gramercy B	Lab Session: Live Topical Demo Making Predictive Models Count Kaiser Fung, Author & Sirius XM Radio Room: Gramercy A	Speaker from: Fidelity True-Lift Modeling: Mining for the Most Truly Responsive Customers & Prospects Kathleen Kane, Fidelity Room: Murray Hill A
5:00pm-5:25pm	Break / Exhibits
	Risk Modelling	Market Mix Modeling	Survey Analysis & Churn Risk Detection
5:25pm-5:45pm	Rethinking Analytic Solutions: Modeling Catastrophic Risk Shajy Mathai, OpenRisk Room: Gramercy B	Case Study Methods for Market Mix Modeling Explained Donald Cozine, ANALYTICi Room: Gramercy A	Case Study: PayPal Identifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim Han Sheong Lai, PayPal Room: Regent
		Crowdsourcing Data Mining; Retail	Financial Indicators from Social Media
5:50pm-6:10pm		Case Study: Overstock.com The RecLab $1 Million Prize on Overstock.com: Driving Innovation with Live Data in the Cloud Sean Pfister, RichRelevance, Room: Gramercy A	Social Media Analysis for Market Prediction: Collective Mood States and the Wisdom Crowds Johan Bollen, Indiana University Room: Regent
6:10pm-7:30pm	Reception / Exhibits
	Local Group Meeting: NYC Predictive Analytics
7:30pm-10:00pm	Session brought to you by NYC Predictive Analytics Bayesians, Frequentists, and Big Data: Musings on Statistics in the 21st Century John W. Emerson, Associate Professor, Yale University Room: Gramercy

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DAY 2: Thursday October 20, 2011
8:00am-9:00am	Registration & Breakfast
9:00am-9:45am	Expert Panel: Wise Enterprise: Best Practices for Managing Predictive Analytics Wayne Thompson, SAS, Colin Shearer, IBM & Dean Abbott, Abbott Analytics Room: Gramercy
9:45am-10:05am	Platinum Sponsor Presentation Forensic Analytics and Continuous Monitoring: Leveraging Predictive Analytics Jennifer Boyce, Deloitte Financial Advisory Services Room: Gramercy
10:25am-10:55am	Break / Exhibits
	Track 1 All Levels	Track 2 Expert/Practitioner	Track 3 on Financial Services
	Integrating Tools	Fraud Detection	Mobile Analytics
10:55am-11:15am	Case Study: Travelers Insurance Creating more Analytical Bandwidth with R Matthew Flynn, Travelers Insurance Room: Gramercy B	Case Study: U.S. Postal Service Office of Inspection General Fighting the Good Fraud Fight Antonia de Medinaceli, Elder Research, Inc. Room: Gramercy A	Case Study: Citibank Predictive Analytics in Customer Digital Payments Ramendra Sahoo, Citibank Room: Murray Hill A
	Mobile Analytics & Search	Lab Session	Fraud Detection
11:20am-11:40am	Case Study: Microsoft Mobile Search Advertising & the Importance of Data in Understanding Customer Intent Will Dannenberg, Microsoft & Mukund Raghunath, Mu Sigma Room: Gramercy B	Lab Session: Live Topical Demo Social Network Analytics – Using Influence to drive a better Customer Experience Shilpa Lawande, Vertica, An HP Company Room: Gramercy A	Case Study: A Major Regional Bank Business Case Development for Credit and Debit Card Fraud Re-Scoring Models Kurt Gutzmann, GCX Advanced Analytics LLC Room: Murray Hill A
11:45am-12:30pm	Special Plenary Session – Case Studies: Anheuser-Busch, the SSA, Netflix Data Mining Lessons Learned - Technical & Business - From Applied Projects John Elder, CEO & Founder, Elder Research, Inc. Room: Grand Ballroom
12:30pm-1:30pm	Birds of a Feather Lunch / Exhibits
1:30pm-2:15pm	Keynote Everyday Analytics: Making Leading Edge Pervasive Thomas Davenport, President's Distinguished Professor, Babson College, Author, Competing on Analytics: The New Science of Winning Room: Grand Ballroom
2:15pm-3:00pm	Break / Exhibits
	Track 1 All Levels	Track 2 Expert/Practitioner	Track 3 on Financial Services
	Lab Session	Law Enforcement	Retention with Churn Modeling
3:00pm-3:20pm	Lab Session: Live Topical Demo The Analytic Advantage: How Banks Can Profit from Customer Insight Valerie Hyde, IBM Room: Gramercy B	Case Study: CMPD Law Enforcement Analytics Solution Helps Identify Potential Criminal Activity Robert Broughton, Charlotte-Mecklenburg Police Department Room: Gramercy A	Speaker from: GE Capital Using Segmentation and Predictive Analytics to Reduce Customer Attrition David Liebskind, GE Capital Room: Murray Hill A
		Law: Forecasting for a Legal Defense
3:25pm-3:45pm		Case Study: A Significant Legal Case Major Litigation Strongly Supported by Fuzzy Reasoning DL vonKleeck, vK Systems, Inc. Room: Gramercy A
3:45pm-4:30pm	Break / Exhibits
	Track 1 All Levels	Track 2 Expert/Practitioner	Track 3 on Financial Services
	Retention with Churn Modeling	Social Data	Black Box Trading
4:30pm-4:50pm	Case Study: Paychex, Inc. Combat Client Churn with Predictive Analytics Frank Fiorille, Paychex, Inc. & Erika McBride, Paychex, Inc. Room: Gramercy B	Case Study: Match.com Search and Social: Intelligent Matching at Match.com Amarnath Thombre, Match.com Room: Gramercy A	Case Study: Rebellion Research Humans, Rules & Machine Learning: Three Prediction Paradigms Spencer Greenberg, Rebellion Research Room: Murray Hill A
	Supply Chain Management	Social Data: Advanced Methods
4:55pm-5:15pm	Case Study: United Group Holdings Value Proposition Segmentation (VPS) Method Amjad Zaim, Cognitro Analytics Room: Gramercy B	Network Maps for End Users: Collect, Analyze, Visualize and Communicate Network Insights with Zero Coding Marc A. Smith, Connected Action Consulting Group Room: Gramercy A

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Post-Conference Workshops: Friday, October 21, 2011
Full-day Workshop Hands-On Introduction to Text Analytics with IBM SPSS Tim Daciuk, Business Development Manager, Advanced Analytics, IBM Room: Off-Site	Full-day Workshop The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes John Elder, CEO & Founder, Elder Research, Inc. Room: Nassau B	Full-day Workshop Deploying User-Friendly Predictive Analytics: Delivering Results to Business Users with Interactive Applications Jeff Mergler, Lead Statistical Applications Trainer, TIBCO Spotfire Room: Nassau A

*Rooms are subject to change

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