Schedule

Updated: 4/4/2019

Sunday, April 14

7:00am-5:00pm	Registration	Lone Star Foyer
7:00am-9:00pm	Mother’s Lounge	309
7:00am-5:00pm	Gala Exchange Desk (exchange your Gala voucher for a seat)	Lone Star Foyer
7:00am-4:30pm	Roundtable Meeting (Invitation only)	Brazos
7:30am-3:00pm	INFORMS Early Career Professionals’ Network (Application Required)	213
9:00am-10:45am	Technology Workshops 301 Methodologies for Deploying Applications that Combine Machine Learning Tools and Optimization Solvers (CPLEX/ ODH\|CPLEX) Optimization Direct 302 Deploying GAMS models with GAMS MIRO GAMS 303 Solve Your First $500K Problem in 75 Minutes Alteryx 304 Manipulating Data and Analytics Using SAS® University Edition SAS Global Academic Program 305 Creating Interactive Analytics on the Web with Forio Epicenter Forio
11:00am-12:45pm	Technology Workshops 301 Recent Advances on Large Scheduling Problems in CP Optimizer, Multiobjective Optimization in CPLEX IBM 302 Data Analytics with MATLAB Mathworks 303 Turning Algorithms Into Applications to Put AI in the Hands of Enterprise Teams Faster than Ever Opex Analytics 304 How To Get Started with Automated Machine Learning Datarobot 305 Decision Framing Made Easy Decision Frameworks L.P. 306 Map-Reduce for Optimization: Build and Deploy Optimization Decomposition on Distributed Resources in the Cloud DecisionBrain
12:00pm-4:30pm	UPS George D. Smith Competition	201
1:00pm-2:45pm	Technology Workshops 301 Solving Business Problems with SAS Analytics and OPTMODEL SAS 302 JMP and the Predictive Modeling Workflow JMP, a Division of SAS 303 Applying AnyLogic and AnyLogic Cloud to Solve Various Business Challenges The AnyLogic Company 304 Recent Developments in the Gurobi Optimizer Gurobi 305 You Can Sell and Deploy Successful Optimization Solutions Princeton Consultants 306 New Innovations: Cloud Computing, Real-Time Scheduling, Industry 4.0, and More Simio Simulation & Scheduling Software
12:00pm-6:00pm	Analytics Career Fair	JW Grand Ballroom 1 & 2
3:00pm-4:45pm	Technology Workshops 301 Get Results from Analytic Models in Excel, Dashboards, and Business Systems Frontline Solvers 302 Yes, You Can Add Optimization to Your Large Complex What-If Excel Models LINDO Systems 303 Adding Optimization to Your Applications, Quickly and Reliably: From Prototyping to Integration with AMPL AMPL 304 Democratizing Supply Chain Prescriptive Analytics AIMMS 305 Nonlinear Optimization in a Nutshell with Artelys Knitro Artelys Corp. 306 Calling all OR Heroes: Learn How to Model and Deploy Solutions in 75% Less Time with FICO® Xpress Insight FICO
5:30pm-7:30pm	Executive Forum (Invitation Only)	203 & 204
6:00pm-7:00pm	Newcomers Reception	205
6:00pm-7:00pm	Career Fair Employer Reception (Invitation Only)	208
7:00pm-8:30pm	Welcome Reception and Exhibits	Griffin Hall

Monday, April 15

7:00am-5:00pm	Registration	Lone Star Foyer
7:00am-9:00pm	Mother’s Lounge	309
7:00am-3:00pm	Gala Exchange Desk (exchange your Gala voucher for a seat)	Lone Star Foyer
7:00am-8:00am	Continental Breakfast	Lone Star DE
7:00am-8:00am	Career Fair Employment Outlook Panel	Brazos
8:00am-9:00am	Welcome: Ramayya Krishnan, INFORMS President and Mani Janakiram, General Chair Opening Plenary Panel Discussion How Data Science is Revolutionizing the Future Moderator: Noha Tohamy, GartnerPanelists: Nada Sanders, Northeastern University Viju Menon, Stryker Katherine Rosback, Katherine Rosback Enterprises, Inc.	Lone Star DE
9:00am-4:30pm	Exhibits Open	Griffin Hall
9:00am-5:00pm	Career Fair Interviews (By Appointment)	Griffin Hall
9:10am-10:00am	Track Sessions Emerging Analytics 201 A Tutorial on Robust Optimization Dick den Hertog, Tilburg University Implementing Analytics 202 Analytics in Healthcare – A Dose of Reality Janine Kamath, Mayo Clinic Analytics Leadership 203 Data: The Fuel of Tomorrow Aziz Safa, Intel Corporation Revenue Management & Pricing 204 Behavioral Influences in Procurement Auctions & Pricing Decisions Wedad Elmaghraby, University of Maryland INFORMS Prizes & Special Sessions 205 2018 Wagner Prize Reprise: Analytics and Bikes: Cornell Rides Tandem with Motivate to Improve Mobility Cornell University 2019 Franz Edelman Award Competition Lonestar GH Dynamic Customized E-Commerce Fraud Detection System for Profit Optimality Microsoft Artificial Intelligence & Healthcare 301 Optimal Classification and Regression Trees Jack Dunn, Interpretable AI Risk Management & Predictive Analytics 302 Increasing Economic Sustainability of Electric Power Planning Under Uncertainty Gianmaria Leo, IBM Supply Chain 303 Dynamic Pricing for Varying Assortments Kris Ferreira, Harvard Business School Technology Tutorials 304 Solving Large-Scale Energy System Models GAMS Technology Tutorials 305 Introduction to Text Analytics Approaches used for Business Analytics to Quickly Extract Insights Provalis Research Technology Tutorials 306 The Beer Game as a Reinforcement Learning Tool Opex Analytics
9:10am-12:20pm	Syngenta Crop Challenge in Analytics	211 & 212
9:10am-1:00pm	INFORMS O.R. & Analytics Student Competition	310 & 311
10:00am-10:30am	Coffee Break with Exhibitors	Griffin Hall
10:30am-11:20am	Track Sessions Emerging Analytics 201 Interpretable AI Dimitris Bertsimas, MIT Implementing Analytics 202 Analytics in Action – from Concept to Value Anne Robinson, Kinaxis Analytics Leadership 203 Analytics and the Dell Digital Way Jim Roth, Dell Digital Revenue Management & Pricing 204 Fandango 360: Data Driven Movie Marketing and Content Recommendations Platform Reeto Mookherjee, Fandango INFORMS Prizes & Special Sessions 205 Freestyle O.R. Supreme Data Hackathon Finalists 2019 Franz Edelman Award Competition Lonestar GH Vattenfall Gets Hundreds of Millions in Gains Through the Application of Operations Research for Offshore Wind Farm Design Vattenfall Artificial Intelligence & Healthcare 301 Identifying Suspicious Financial Activity Using Machine Learning Sanjay Melkote, U.S. Bank Risk Management & Predictive Analytics 302 Crowdsourcing Analytics: Case Study of the Fishing for Fishermen Maritime Data Challenge Paul Shapiro, National Defense University Supply Chain 303 Analytics in Compliance Risk Management – An Adaptive and Recursive Approach Using Machine-Learning Methods Jonathan Yan, Dun & Bradstreet Technology Tutorials 304 Building and Solving Optimization Models with SAS SAS Technology Tutorials 305 Power Systems Optimization and Price Forecast with Artelys Crystal Artelys Corp. Technology Tutorials 306 Using AnyLogic Simulations as a Training Environment for Deep Reinforcement Learning The AnyLogic Company
11:30am-12:20pm	Track Sessions Emerging Analytics 201 Driving Transparency & Eliminating Reconciliations Across Your Enterprise Value Chain Using Blockchain Sharad Malhautra, Ernst & Young Implementing Analytics 202 Analytics Impact: Like a Marathon, the Last Mile is the Hardest Jeff Camm, Wake Forest Analytics Leadership 203 Why Effective Data Science Needs Human-centered Design Jim Guszcza, Deloitte Consulting Revenue Management & Pricing 204 Dynamic Pricing of Omni-channel Inventories Pavithra Harsha, IBM Research INFORMS Prizes & Special Sessions 205 Certified Analytics Professional: CAP® Program Overview Panel Moderator: Zahir Balaporia, FICO Panelists: Alan Briggs, Data Robot, Additional Panelists TBD 2019 Franz Edelman Award Competition Lonestar GH RIMAS: Safer Skies in Spain Spanish Aviation Safety and Security Agency (AESA) Artificial Intelligence & Healthcare 301 Delivering Impact and Developing The Analytics Roadmap at Memorial Sloan Kettering’s Department of Surgery Christopher Stromblad, Memorial Sloan Kettering Cancer Center Risk Management & Predictive Analytics 302 Improving Traceability to US Air Force Capability Assessments Calvin Bradshaw, HQ Materiel Command Supply Chain 303 Closing the Gap Between Forecasting and Inventory Management Joshua Hale, Intel Corporation Technology Tutorials 304 Optimization Modeling Tools from LINDO Systems LINDO Systems Technology Tutorials 305 Switching to Gurobi Gurobi Technology Tutorials 306 Optimization and Machine Learning – A Match Made in Data Science Heaven! IBM
12:30pm-1:45pm	‘Feed Your Mind’ Networking Lunch	Lone Star DE
1:50pm-2:40pm	Track Sessions Emerging Analytics 201 Analyzing Everyday Language to Understand People James Pennebaker, University of Texas at Austin Implementing Analytics 202 Scaling and Sustaining an Analytics Function Stefan Karisch, Boeing Analytics Leadership 203 Setting up the Analytics Leader for Success Noha Tohamy, Gartner, Inc. Revenue Management & Pricing 204 Revenue Management & Pricing in the Car Rental Industry Montgomery Blair, Hertz INFORMS Prizes & Special Sessions 205 Freestyle O.R. Supreme Data Hackathon Finalists 2019 Franz Edelman Award Competition Lonestar GH Csoft®: Innovative Solution for the Real-time Control of Sewer Networks Louisville Metropolitan Sewer District and Tetra Tech Artificial Intelligence & Healthcare 301 Developing Machine Learning Applications in an Agile Environment Mary McGuire, University of Texas MD Anderson Cancer Center Risk Management & Predictive Analytics 302 Application of Text Analysis to Quality Control of Operational Document Sets Thor Osborn, Sandia National Labs Supply Chain 303 Variance-Damping or Variance-Amplifying? A Look at Analytics in the Supply Chain Clark Pixton, Brigham Young University Technology Tutorials 304 Using Artelys Knitro with Julia/JuMP Artleys Corp. Technology Tutorials 305 Using JMP: Mining Unstructured Text Data for Meaningful Insights JMP, a Division of SAS Technology Tutorials 306 End-to-End FICO® Xpress Insight Tutorial: From Data to Decisions for Non-Technical Business Users FICO
2:45pm-3:35pm	Poster Session and Refreshment Break with Exhibits Single Session – 2019 Franz Edelman Award Competition 2019 Franz Edelman Award Competition Lonestar GH Analytics and OR for IBM’s IT Service Deals IBM	Griffin Hall
3:05pm-3:35pm	CAPs & Coffee	213
3:40pm-4:30pm	Track Sessions Emerging Analytics 201 Robotic Process Automation Russell Malz, Blue Prism Implementing Analytics 202 Implementing Analytics to Automate Decisions at Scale Sagar Sahasrabudhe & Carolyn Mooney, GrubHub Analytics Leadership 203 Lessons for Leaders: Reinventing Your Business with AI and O.R. Michael Watson, Opex Analytics Revenue Management & Pricing 204 Intelligent Retailing Decision Support – A Bold New Vision for the Industry Hunkar Toyoglu, Sabre Airline Solutions INFORMS Prizes & Special Sessions 205 The Value of CAP® Moderator: Anne Robinson, Kinaxis Panelists: Norm Reitter, CANA Advisors, Ranganath Nuggehalli, UPS and Aaron Burciaga, Analytics2Go 2019 Franz Edelman Award Competition Lonestar GH From School Buses to Bell Times: Driving Policy with Optimization Boston Public Schools Artificial Intelligence & Healthcare 301 Novel Computer-Aided Detection of Breast Cancer: Stalking the Serial Killer Hamparsum Bozdogan, University of Tenneesse-Knoxville Risk Management & Predictive Analytics 302 Dynamic Call Center Simulation at JPMorgan Chase: Reducing Disruptive Business Resiliency Testing Jay Carini, JP Morgan Chase & Co. Supply Chain 303 Mitigating Supply Chain Risk by Combining Internal, External, And Open Source Data Into A Single User Experience Harrison Smith, PwC Technology Tutorials 304 Model-Based Optimization + Application Programming = Streamlined Deployment in AMPL AMPL Technology Tutorials 305 A DOCplex and ODH\|CPLEX Python Primer Optimization Direct Technology Tutorials 306 Simulation & Scheduling Software All in One! Simio Simulation & Scheduling Software
5:00pm-6:00pm	Women in OR/MS: Cocktails & Questions with Lora Cecere, Supply Chain Insights	Brazos
4:40pm-5:30pm	Networking Reception	JW Grand Ballroom 1-4
6:00pm-7:00pm	Honors Reception (Invitation Only)	Lone Star GH
7:00pm-10:00pm	Edelman Gala	Lone Star A-E

Tuesday, April 16

7:00am-3:00pm	Registration	Lone Star Foyer
7:00am-9:00pm	Mother’s Lounge	309
7:00am-8:00am	Continental Breakfast	Lone Star DE
7:00am-8:00am	Analytics Section Awards Breakfast (Invitation Only)	211 & 212
7:00am-8:00am	Women in OR/MS Networking Breakfast: Pay Negotiation Workshop with Jessica Dowches-Wheeler	Brazos
8:00am-9:00am	Welcome & Introduction: Mani Janakiram Plenary Speaker: Anju Gupta, Head of Sustainability Campaign, Syngenta The Role of Analytics in the Digital Era	Lone Star DE
9:00am-3:40pm	Exhibits Open	Griffin Hall
9:00am-5:00pm	Career Fair Interviews (By Appointment)	Griffin Hall
9:10am-10:00am	Track Sessions Emerging Analytics 201 Quantum Computing – Why, What, When, How Yianni Gamvros, QC Ware Supply Chain Analytics 202 Reverse Logistics and Machine Learning: The Key to Predictive Repair Thomas Maher, Dell Supply Chain Marketing Analytics 203 Leveraging Chatbot Analytics to Drive Deeper Customer Engagement Nishant Nishant, Avnet Decision & Risk Analysis 204 The Art of Decision Framing and Uncertainty Analysis for Clarity of Action Ellen Coopersmith, Decision Frameworks Analytics in the Public Sector 205 Interactive Simulations in Support of Warfighters, Intel Analysts and Policy Makers Sam L. Savage, ProbabilityManagement.org Security Lonestar GH CHUPPET: Learn Simply with Simple Data Science Matthew Powers, OPNAV INFORMS Prizes & Special Sessions 301 IAAA Finalist: A Machine Learning Approach to Shipping Box Design jet.com/Walmart Labs jet.com/Walmart Labs InnoGPS: Innovation Global Positioning System Singapore University of Technology and Design Analytics Process 302 Why Most Analytics Projects Fail and How To Engage With Your Client For Success Max Henrion, Lumina Decision Systems Data Mining 303 Diagnosing Device Failures to Propose Appropriate Actions Deepthi Dastari, Gogo LLC Optimization 304 The Benefits of Lean Cell Design on Business Processes Daria Migounova, Sun Life Financial Technology Tutorials 305 Predictive and Prescriptive Analytics with MATLAB MathWorks Technology Tutorials 306 Combining Technology and Advanced Analytics to Master Risk PwC
10:00am-10:30am	Coffee Break with Exhibitors	Griffin Hall
10:30am-11:20pm	Track Sessions Emerging Analytics 201 Intuition is Unreliable, Analytics is Incomplete Karl G. Kempf, Intel Corporation Supply Chain Analytics 202 Using Data Analytics to Challenge Conventional Thinking Jay Young and Daniel Windle, Trinity Rail Marketing Analytics 203 Pricing and Revenue Management: Different Flavors for Different Industries Daniel Reaume, Revenue Analytics, Inc. Decision & Risk Analysis 204 Can We Do Better Than Garbage-In -Garbage-Out? Dennis Buede, Innovative Decisions Analytics in the Public Sector 205 Using Multiattribute Decision Analysis for Public-Sector Decisions Roger Burk, United States Military Academy Security Lonestar GH Modeling Vehicle Fleet Readiness: The Challenges of Mixed-Fidelity Simulation Rob Wavra, McKinsey & Company INFORMS Prizes & Special Sessions 301 IAAA Finalist: Machine Learning: Multi-Site Evidence-Based Best Practice Discovery Center for Operations Research in Medicine and Healthcare Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba Washington University in Saint Louis Analytics Process 302 Understanding The Impact Of Virtual Mirroring-based Learning On Collaboration In Data And Analytics Function: A Resilience Perspective Nabil Raad, Ford Motor Company Data Mining 303 Contracts Analytics on Cognitive Data Platform to Reduce Risk from Revenue Leakage: Consolidate, Convert & Classify Pitipong Lin, IBM Corporation Optimization 304 Combining Choice Modeling and Nonlinear Programming to Support Business Strategy Decisions John Colias, University of Dallas and Decision Analyst Technology Tutorials 305 Cost Benefit Analyses for Optimization Projects Princeton Consultants Technology Tutorials 306 Storytelling for Machine Learning and Advanced Analytics DataRobot
11:30am-12:20pm	Track Sessions Emerging Analytics 201 Explainable AI Jari Koister, FICO Supply Chain Analytics 202 ROMEO: A Fast and Transparent Framework for Multi-Echelon Inventory Analytics in Chemical Industries Baptiste Lebreton, Eastman Chemical Company Marketing Analytics 203 Managing All Pricing Levers Maarten Oosten, Vistex Decision & Risk Analysis 204 Precision Medicine vs. Accurate Medicine? A Critical Decision Fraught with Risk Michael Liebeman, IPQ Analytics Analytics in the Public Sector 205 Starting from Scratch – An Army “start-up” LTC Cade Saie, U.S. Army Futures Command Security Lonestar GH Stochastic Goal Programming to Optimize Army Cyber Branch Readiness and Manning Under Uncertainty Col Andrew O. Hall, Army Cyber Institute, USMA INFORMS Prizes & Special Sessions 301 IAAA Finalist: Transparent Machine Learning Models for Predicting Seizures in ICU Patients from cEEG Signals University of Wisconsin, Duke University, Harvard University, and Massachusetts General Hospital, Westover Using Advanced Analytics to Rationalize tail Spend Suppliers at Verizon Verizon Analytics Process 302 Pattern Identification and Analysis of Sensor Outputs by Combining Pattern Markov Chains and Explainable Machine Learning Teddy Ko, NT Concepts Data Mining 303 Optimal Imputation: Automated Data Quality Assurance and Improvement Daisy Zhuo, Interpretable AI Optimization 304 Optimizing Product-Site Qualifications in Western Digital’s Supply Network Karla Hernandez, Western Digital Technology Tutorials 305 Keep it Simple: Getting Analytics Results with Less Cost, Time and Risk Frontline Solvers Technology Tutorials 306 DTrio: The Next Generation of Decision Framing Decision Frameworks
12:30pm-1:45pm	Lunch & Awards
1:50pm-2:40pm	Track Sessions Emerging Analytics 201 Detecting Tax Evasion: A Co-evolutionary Approach Sanith Wijesinghe, The MITRE Corporation Supply Chain Analytics 202 Using Classical Optimization and Advanced Analytics to Solve Supply Chain Problems Steve Sommer, Llamasoft Marketing Analytics 203 Aligning to Improve Data Analytics Lora Cecere, Supply Chain Insights Decision & Risk Analysis 204 Enrich Your Data with Better Questions Katherine Rosback, Katherine Rosback Enterprises, Inc. Analytics in the Public Sector 205 Process Mining: The Capability Every Organization Needs John Bicknell, More Cowbell Unlimited, Inc. Security Lonestar GH A Modeling Framework for Scenario-Based Portfolio Planning with Uncertainty Shaun Doheney, Innovative Decisions, Inc. and Sam L. Savage, ProbabilityManagement.org INFORMS Prizes & Special Sessions 301 UPS George D. Smith Prize winner Analytics Process 302 Changing Cisco’s Marketing Behavior through Data Analytics Viswanath Srikanth, Cisco Data Mining 303 Anomaly Detection in the Wild Bradford Tuckfield, American Express Global Business Travel Optimization 304 Innovative Rolling Stock Scheduling in Railroad Operations: Optimizing Seat Probability Erwin Abbink, Netherlands Railways Technology Tutorials 305 16 Tips for Teaching Data Science and Analysis Stukent Technology Tutorials 306 Machine Learning with H2O for R Users Purdue University
2:45pm-3:35pm	Poster Session and Refreshment Break with Exhibits	Griffin Hall
3:40pm-4:30pm	Keynote: Reprise of 2019 Edelman Award Winner	Lone Star DE
4:40pm-5:30pm	Track Sessions Emerging Analytics 201 Optimal Pay Determination to Reach Diversity Goals Margrét Bjarnadóttir, University of Maryland Supply Chain Analytics 202 Anticipating a World of Automated Transport: Cost, Energy, and Urban System Implications Kara Kockelman, University of Texas at Austin Marketing Analytics 203 Deploying Product Recommendation Engines at Scale Kenneth Sanford, evalld, LLC Decision & Risk Analysis 204 Analyzing Social Media Data To Identify Cybersecurity Threats: Decision Making With Real-time Data Ted Allen, The Ohio State University Analytics in the Public Sector 205 Adopt Mission Focused Analytics to Drive Rapid and Comprehensive Data Discovery Amy Hauck, Texas Department of Public Safety and Savita Raghunathan, Deloitte Security Lonestar GH Security and Critical Infrastructure W. Matthew Carlyle, Naval Post Graduate School INFORMS Prizes & Special Sessions 301 2018 INFORMS Prize Reprise – BNSF Railway Pooja Dewan and Juan Morales, BNSF Railway Analytics Process 302 Analytics in Research and Practice: Finding Common Ground Michael Gorman, University of Dayton Data Mining 303 Applications of Machine Learning to IOT Adam McElhinney, Uptake Technologies Optimization 304 Optimizing Power Mix Trajectories for Long-Term Policy Making Violette Berge, Artelys Canada Inc. Technology Tutorials 305 Data Visualization and Machine Learning in SAS Viya SAS Global Academic Program Technology Tutorials 306 From Strategic to Real-Time Workforce Optimization: Improve Productivity and Service Levels through Advanced Analytics DecisionBrain

Sunday, April 14

Methodologies for Deploying Applications that Combine Machine Learning Tools and Optimization Solvers (CPLEX/ ODH|CPLEX)

Deploying GAMS models with GAMS MIRO

Solve Your First $500K Problem in 75 Minutes

Manipulating Data and Analytics Using SAS® University Edition

Creating Interactive Analytics on the Web with Forio Epicenter

Recent Advances on Large Scheduling Problems in CP Optimizer, Multiobjective Optimization in CPLEX

Data Analytics with MATLAB

Turning Algorithms Into Applications to Put AI in the Hands of Enterprise Teams Faster than Ever

How To Get Started with Automated Machine Learning

Decision Framing Made Easy

Map-Reduce for Optimization: Build and Deploy Optimization Decomposition on Distributed Resources in the Cloud

Solving Business Problems with SAS Analytics and OPTMODEL

JMP and the Predictive Modeling Workflow

Applying AnyLogic and AnyLogic Cloud to Solve Various Business Challenges

Recent Developments in the Gurobi Optimizer

You Can Sell and Deploy Successful Optimization Solutions

New Innovations: Cloud Computing, Real-Time Scheduling, Industry 4.0, and More

Get Results from Analytic Models in Excel, Dashboards, and Business Systems

Yes, You Can Add Optimization to Your Large Complex What-If Excel Models

Adding Optimization to Your Applications, Quickly and Reliably: From Prototyping to Integration with AMPL

Democratizing Supply Chain Prescriptive Analytics

Nonlinear Optimization in a Nutshell with Artelys Knitro

Calling all OR Heroes: Learn How to Model and Deploy Solutions in 75% Less Time with FICO® Xpress Insight

Monday, April 15

A Tutorial on Robust Optimization

Analytics in Healthcare – A Dose of Reality

Data: The Fuel of Tomorrow

Behavioral Influences in Procurement Auctions & Pricing Decisions

2018 Wagner Prize Reprise: Analytics and Bikes: Cornell Rides Tandem with Motivate to Improve Mobility

Dynamic Customized E-Commerce Fraud Detection System for Profit Optimality

Optimal Classification and Regression Trees

Increasing Economic Sustainability of Electric Power Planning Under Uncertainty

Dynamic Pricing for Varying Assortments

Solving Large-Scale Energy System Models

Introduction to Text Analytics Approaches used for Business Analytics to Quickly Extract Insights

The Beer Game as a Reinforcement Learning Tool

Interpretable AI

Analytics in Action – from Concept to Value

Analytics and the Dell Digital Way

Fandango 360: Data Driven Movie Marketing and Content Recommendations Platform

Freestyle O.R. Supreme Data Hackathon Finalists

Vattenfall Gets Hundreds of Millions in Gains Through the Application of Operations Research for Offshore Wind Farm Design

Identifying Suspicious Financial Activity Using Machine Learning

Crowdsourcing Analytics: Case Study of the Fishing for Fishermen Maritime Data Challenge

Analytics in Compliance Risk Management – An Adaptive and Recursive Approach Using Machine-Learning Methods

Building and Solving Optimization Models with SAS

Power Systems Optimization and Price Forecast with Artelys Crystal

Using AnyLogic Simulations as a Training Environment for Deep Reinforcement Learning

Driving Transparency & Eliminating Reconciliations Across Your Enterprise Value Chain Using Blockchain

Analytics Impact: Like a Marathon, the Last Mile is the Hardest

Why Effective Data Science Needs Human-centered Design

Dynamic Pricing of Omni-channel Inventories

Certified Analytics Professional: CAP® Program Overview Panel

RIMAS: Safer Skies in Spain

Delivering Impact and Developing The Analytics Roadmap at Memorial Sloan Kettering’s Department of Surgery

Improving Traceability to US Air Force Capability Assessments

Closing the Gap Between Forecasting and Inventory Management

Optimization Modeling Tools from LINDO Systems

Switching to Gurobi

Optimization and Machine Learning – A Match Made in Data Science Heaven!

Analyzing Everyday Language to Understand People

Scaling and Sustaining an Analytics Function

Setting up the Analytics Leader for Success

Revenue Management & Pricing in the Car Rental Industry

Freestyle O.R. Supreme Data Hackathon Finalists

Csoft®: Innovative Solution for the Real-time Control of Sewer Networks

Developing Machine Learning Applications in an Agile Environment

Application of Text Analysis to Quality Control of Operational Document Sets

Variance-Damping or Variance-Amplifying? A Look at Analytics in the Supply Chain

Using Artelys Knitro with Julia/JuMP

Using JMP: Mining Unstructured Text Data for Meaningful Insights

End-to-End FICO® Xpress Insight Tutorial: From Data to Decisions for Non-Technical Business Users

Analytics and OR for IBM’s IT Service Deals

Robotic Process Automation

Implementing Analytics to Automate Decisions at Scale

Lessons for Leaders: Reinventing Your Business with AI and O.R.

Intelligent Retailing Decision Support – A Bold New Vision for the Industry

The Value of CAP®