Monday Tracks & Rooms
Transcription
Monday Tracks & Rooms
TRACKS ROOMS T1 Marketing Analytics T3 T2 Revenue Unstructured Data Analytics Management & Pricing Huntington North Huntington South Shoreline T4 Decision Analysis T5 2015 Edelman Competition T6 INFORMS Prizes T7 Implementing Analytics T8 Supply Chain Catalina Vista Ballroom Driftwood Fountain East Fountain West T9 Cloud Computing & Analytics Seacliff T10 Software Tutorials T11 Software Tutorials T12 Software Tutorials Sunrise A Sunrise B Goldenwest 9:10— 10am Future of AnalyticsDriven TV Advertising Bob Bress, Visible World Economic & Social Indicators John Irvine, Charles Stark Draper Lab Inc. B2B Pricing Customer Segmentation Mark Ferguson, University of South Carolina Applying DA for Professional Golf and Market-Based Program Tennis Forecasting Enabling Job Creation IBM Mazen Skaf, Strategic Decisions Group 2014 INFORMS Prize Janine Kamath, Mayo Clinic Developing Realtime Dashboards Jen Underwood, Microsoft Optimizing Ship-pack of Fresh Food Bernardo Almada-Lobo, INESC TEC, Faculdade Engenharia Universidade Porto Optimization in User-centric Analytics Susara van den Heever, IBM ExtendSim Simulation Survey of Data Mining Software Methods in Excel Imagine That, Inc. Statistics.com How to Leverage Decision Optimization on Cloud IBM 10:30— 11:20am Marketing, Campaigning, & Healthcare Daniel Porter, Bluelabs Natural Language Processing Algorithms Shivakumar Vaithyanathan, IBM Research Role of Sales Rep Discretion in Pricing Loren Williams, Ernst and Young LLP Raiffa-Howard Award Dave Leonhardi, Boeing Commercial Airplane Group Two-Tier Distribution Business Ingram Micro Daniel H. Wagner Prize: Disruptions in Auto Supply Chain David Simchi-Levi, MIT Wealth Innovation Thomas Siems, Federal Reserve Bank of Dallas Multi-objective DA to Manage Change Process Edward Cook, Capital One Cloud-based Valuation Tools Andre Lowe, Intel Data Visualization, Analysis, and Modeling with JMP 12 Pro SAS JMP Division The SIPmathTM Modeler Tools Probability Management.org Experience Optimization Modeling in Real Time AIMMS Persuasion Automation Panagiotis Angelopoulos, Persado Quantifying Behaviors in Pro Sports Using Spatiotemporal Data Patrick Lucey, Disney Research Total Hotel Revenue Management Dev Koushik, Intercontinetal Hotels Group DA for Claims at Stanford Medical John Celona, Decision Analysis Associates, LLC Inventory Control Variable Demand LMI/Defense Logistics Agency Movement Analytics, Urban Mobility Karen Roter Davis, Urban Engines Sales Rep Growth, Performance, Gaming Pasha Roberts, Talent Analytics Corp. Cloud IT Supply Chain Ilyas Iyoob, Gravitant Service Design Analytics for IT Aly Megahed, IBM Research Multi-echelon Inventory Optimization to Drive Analytical Decision Making Logility Tomorrow’s Optimization Forecast: Cloudy with a Chance of Distributed Computing Gurobi Optimization Optimization Modeling Made Easy LINDO Systems, Inc. Attribution Done Right Sanjog Misra, UCLA Text Analytics Transform Data Insights Shawn Mankad, University of Maryland RM in Passenger Rail Industry Sheryl Richards, Amtrak DA in Med Decisions: A Personal Journey Larry Neal Jr., Chevron Public Safety During Hajj Saudi Arabia Ministry of Municipal and Rural Affairs Advantage Created Analytics Peter Bell, Western University Optimizing Room Assignments Haining Yu, Walt Disney Parks & Resorts Joint Optimization of Pricing, Revenue & Marketing Yanqi Xu, Princess Cruises O.R. Case Studies in Google Cloud Infrastructure Thomas Olavson, Google How to Analyze Large Amout of Text Data withText Analytics Tools Provalis Research Solving Large Scale Optimization Problems Using CPLEX Optimization Studio Optimization Direct, Inc. An Introduction to Model Development with GAMS GAMS Development Corp. Harvard Business Review Panel Moderator Julia Kirby, HBR Network Revenue intelligence Madan Kumar Singh and Janit Pagaria, Accenture Improving Network Utilization through Continous Evaluation Pan Chen, HAVI Global Solutions Test Minimum Difference Zhenyu Zhao, Yahoo Building AMPL Models Getting to Know FICO into Your Applications Advanced Analytics AMPL Optimization, Inc. and Optimization FICO 11:30am— 12:20pm 1:50— 2:40pm 2:45— 3:35pm 3:40— 4:35pm Good Growth through Advanced Analytics Syngenta POSTER SESSIONS AND DESSERT IN GRAND FOYER Emotion Analysis & Predicting in Consumer Behavior Daniel McDuff, Affectiva Buried Objects Cluttered Environments Ellick Chan, and Adam Rowell, Exponent, Inc. RM in the World of Big Data Hai Chu, Walt Disney Company California's Offshore Oil Platforms Max Henrion, Lumina Decision Systems, Inc. Capability Portfolio Analysis Tool U.S. Army/Sandia National Laboratories See the KNITRO 9.1 Optimization Solverin Action Ziena Optimization, LLC