2014 Conference Videos

Videos from Predictive Analytics World for Business and Healthcare Boston – October 5-9, 2014

sessions are at the All Levels
sessions are at the Expert/Practitioner Level


Keynote: Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn Sameer Chopra, Orbitz Worldwide *Presentation not available for viewing.	Keynote: Real-Time Modeling of Surgical Site Infections John Cromwell, University of Iowa Hospitals & Clinics
Keynote: Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up John Foreman, MailChimp	Keynote: Big Data and Clinical Decision Support Dr. Martin Kohn, Jointly Health
Keynote: UPS Analytics – The Road to Optimization Jack Levis, UPS	Keynote: Predictive Analytics: Advancing Precision and Population Medicine George Savage, Proteus Digital Health
Special Plenary Session: The Power (and Peril) of Predictive Analytics Dr. John Elder, Elder Research, Inc.	Special Plenary Session: The Peril of Vast Search (and How Target Shuffling Can Save Science) Dr. John Elder, Elder Research, Inc.
Expert Panel	Expert Panel
Necessary Skills of the Quant: Finance, Fraud, and Marketing Sameer Chopra, Orbitz Worldwide Jack Levis, UPS Thomas Hill, Dell Software Group / StatSoft	Healthcare Analytics: Potential vs. Reality George Savage, MD, Proteus Digital Health John Cromwell, MD, University of Iowa Ken Yale, JD, DDS, ActiveHealth Management
TOPIC: Advertising Effectiveness Case Study: Baseball Stadiums	TOPIC: Claims Analytics Case Study: DentaQuest
A Fresh Look at the Effects of Promotion on Baseball Attendance Using Hierarchical Bayesian Analysis Tyler Deutsch, Northwestern University & Sagence	Improving Provider Performance and Patient Outcomes with Evidence-Based Scoring Daniel Bailey, Elder Research
Viswanath Srikanth, Northwestern University & IBM	Shaju Puthussery, DentaQuest
TOPIC: Algorithmic Trading	TOPIC: Deploying Risk Models Case Study: State of Maine hospitals
Predictive analytics for Asset Managers Steve Krawciw, Able Markets	Deploying Predictive Patient Risk Models through a Health Information Exchange (HIE) Devore Culver, HealthInfoNet
TOPIC: Analytics in Consumer Banking	TOPIC: Disease Modeling Case Study: Southern Nazerene University
Embedding Predictive Analytics Within the Corporate Culture-What are the Challenges in the Big Data World? Richard Boire, Boire Filler Group	Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC) Linda Miner, PhD, Southern Nazerene University
TOPIC: Analytics Strategy Case Studies: CFPB, Capital One, Citibank & Bank of America	TOPIC: Healthcare Informatics Case Study: University of California, Irvine
Spotting the Wisdom in the Noise: Using Data Science to Identify and Eradicate Consumer Concerns Brandon Purcell, Beyond the Arc	Healthcare 2020: How Emerging Technologies Will Advance Clinical Practice and Research Charles Boicey, Stony Brook Medicine
TOPIC: Analytics Tools	TOPIC: Personalized What-if Analysis Case Study: WA Univ. St. Louis School of Medicine & PotentiaMED
Python for Data Science Field Cady, Think Big Analytics	Using Predictive Analytics to Empower Cancer Patients through “MyCancerJourney” Robert Palmer, PotentiaMED
TOPIC: Big Data Case Study: Sears Holdings Corporation	Jay Piccirillo, Washington University in St. Louis School of Medicine
Hadoop Use Cases: Speeding Up Data Workloads Andy McNalis, Sears Holding Corporation
TOPIC: Churn Modeling Case Study: Paychex	TOPIC: Predicting Disease and Infection Case Study: Baptist Health
Combat Client Churn with Predictive Analytics Philip O’Brien, Paychex	Predicting the Invisible Patient: Using Predictive Analytics to Reduce Suffering, Save Lives, and Optimize Cost of Care Katrina Belt, Baptist Health
TOPIC: Churn Modeling Case Study: nTelos Wireless	TOPIC: Predicting Insurance Costs Case Study: Pensylvania Department of Public Welfare
Improving Customer Retention & Profitability John Ainsworth, Elder Research, Inc.	Superutilizers Made Simple. Identifying High-Cost Recipients Using a Model Any Medicaid Agency Could Implement Aran Canes, Open Minds
TOPIC: Cloud Analytics Case Study: Verizon	TOPIC: Readmission Risk Case Study: UPMC Health Plan
Third Generation Contextual Learning as a Service and Consumer Data-Haven Practice Madhusudan Raman, Verizon	Using Association Rule Mining to Identify Risks for Readmissions Scott Zasadil, PhD, UPMC Health Plan
TOPIC: Credit Scoring Case Study: Kabbage	TOPIC: Resource Optimization
Data Science Approach to Small and Medium Business Lending Pinar Donmez, Kabbage	Using Predictive Analytics to Forecast Hospital Patient Volume for Hospital Resource Allocation and Staffing Nephi Walton, MD, Washington University
TOPIC: Customer Satisfaction & Retention Case Study: Citrix	TOPIC: Targeted Care Management Case Study: ActiveHealth Management
Predicting Customer Experience Risk in B2B World Mike Stringer, Madhav Chinta, & Jim Regetz, Citrix Data Science	Significant Improvements in Population Health Management Ken Yale, JD, DDS, ActiveHealth Management
The remaining videos below are from Predictive Analytics World for Business in Boston

TOPIC: Data Cleansing	TOPIC: Data Privacy
Data Preparation from the Trenches: 4 Approaches to Deriving Attributes Dean Abbott, Abbott Analytics	Predictive Analytics and Privacy by Design Jeff Kosseff, Covington & Burling, LLP
TOPIC: Enterprise-wide Deployment	TOPIC: Fraud Detection; Analytics in Gaming Case Study: Activision
Oracle’s Internal Use of Data Mining and Predictive Analytics Charles Berger, Oracle	Cheating Detection in Call of Duty Josh Hemann, Activision
TOPIC: Infrastructure Planning Case Study: Facebook	TOPIC: Large-Scale Continuous Learning Case Study: eBay
Managing Large-Scale Infrastructure with Predictive Analytics Clinton Brownley, Facebook	Importance of Speed and Relevance to eBay and Our Big Data Strategies Gayatri Patel, eBay
TOPIC: Marketing Attribution Case Study: LinkedIn	TOPIC: Persuasion Modeling (aka Uplift Modeling)
Increasing B2B Marketing Contribution through Optimal Marketing Attribution Analysis Techniques May Xu, Neethi Mary Thomas, Rajat Mishra, Mu Sigma	Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters Daniel Porter, BlueLabs
TOPIC: Project Risk Assessment Case Study: State Street Corporation	TOPIC: Risk Detection; Government Applications Case Study: State Auditor’s Office
How Can Predictive Analytics Help Avoid $1.2 Million in IT Project Development Costs? Scott Lancaster, State Street Corp.	Risk Analytics Engine at State Auditor’s Office Kleber Gallardo, Alivia Technology
TOPIC: Targeting Email Case Study: Ameublements Tanguay	TOPIC: Uplift Modeling Case Study: Fidelity
Predictive Analytics to the Rescue of Email Marketing Roger Plourde, Intema Solutions	Uplift Modeling: Introduction, Applications, Comparisons, and Latest Developments Victor Lo, Fidelity Investments & Bentley University
TOPIC: Workforce Analytics – Retention Case Study: A Major Financial Services Call Center	TOPIC: Workforce Analytics – Workload Management Case Study: IBM
Data Science Approach to Reduce Call Center Employee Attrition Pasha Roberts, Talent Analytics	Data-Driven Transformation in End-to-End Sales Transaction Support Pitipong Lin, IBM