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