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Technology Workshops

Sunday April 15, 3-4:45pm

Prescriptive Analytics in Action: Turning Ideas into Results and Improving Decision Making Across Your Organization

  • Interested in moving your organization to data-driven decision making?
  • Want to do more with the data your already have?
  • Are you trying to reduce operational costs, improve scheduling, or increase service levels?
  • Are you looking to prescribe the optimal set of actions to be executed on the ground and make this a sustainable habit?

If you answered YES to any (or all) of these questions, you are amongst the vast majority of companies that can benefit from Optimization and Prescriptive Analytics. This workshop will demonstrate how you get significant value and drive a competitive edge by applying Optimization and Prescriptive Analytics.

This workshop offers a pragmatic approach to getting started with Prescriptive Analytics. Through our live demo of the AIMMS platform and sharing best practices, you will see:

  • How to tackle problems that keep you up at night to uncover hidden opportunities and value
  • How to deliver cool, smart models to business users to ensure adoption and usage
  • Insights on how to replicate this in your own organization
  • How the new AIMMS Cloud and Supply Chain Navigator offerings can accelerate your achievement of results

Sunday April 15, 3-4:45pm

Model-Based Optimization, Plain and Simple:
From Formulation to Deployment with AMPL

Optimization is the most widely adopted technology of Prescriptive Analytics, but also the most challenging to implement:

  • How can you prototype an optimization application fast enough to get results before the problem owner loses interest?
  • How can you integrate optimization into your enterprise’s decision-making systems?
  • How can you deploy optimization models to support analysis and action throughout your organization?

In this presentation, we show how AMPL gets you going without elaborate training, extra programmers, or premature commitments. We start by introducing model-based optimization, the key approach to streamlining the optimization modeling cycle and building successful applications today. Then we demonstrate how AMPL’s design of a language and system for model-based optimization is able to offer exceptional power of expression while maintaining ease of use.

The remainder of the presentation takes a single example through successive stages of the optimization modeling lifecycle:

  • Prototyping in an interactive command environment.
  • Integration via AMPL scripts and through APIs to all popular programming languages.
  • Deployment with QuanDec, which turns an AMPL model into an interactive, collaborative decision-making tool.

Our example is simple enough for participants to follow its development through the course of this short workshop, yet rich enough to serve as a foundation for appreciating model-based optimization in practice.

AnyLogic Company
Sunday April 15, 1-2:45pm

Applying AnyLogic Simulation to Solve Multiple Business Challenges
Presented by: Andrei Borshchev, CEO, Nikolay Churkov, Head of Software Development, and Arash Mahdavi, Simulation Modeling Consultant, AnyLogic North America

See demonstrations of simulation modeling at work in domains such as Manufacturing, Healthcare, Supply Chain, Railway, Oil and Gas, Human Resources, Pedestrian movement and Road Traffic. We will showcase the modeling of sophisticated conveyor networks and AGVs with the new AnyLogic Material Handling Library. Empowering simulation modeling, we will also explain how to fully leverage AnyLogic Cloud when running complex multiple-run experiments such as Monte-Carlo and Parameter Variation.

Artelys Corp.
Sunday April 15, 3-4:45pm

Nonlinear optimization in a nutshell with Artelys Knitro
Presented by: Richard Waltz & Violette Berge

Nonlinear optimization is used in many applications in a broad range of industries such as economy, finance, energy, health, 3D modeling, and marketing. With four algorithms and great configuration capabilities, Artelys Knitro is the leading solver for nonlinear optimization and demonstrates high performance for large scale problems. This session will introduce you to Artelys Knitro, its key features and modeling capabilities, with a particular emphasis on the latest major improvements including a new algorithm designed for second order cone constraints, and a new API to build-up models piece-by-piece with structural information. Finally, this presentation will end with an insightful session on nonlinear modeling tips and tricks!

Booz Allen Hamilton
Sunday April 15, 1-2:45pm

Supercharge Your Operations Research with Deep Learning
Presented by: Grant Gillary – Senior Data Scientist, Booz Allen Hamilton and Adam Thompson – Solution Architect, NVIDIA

The next great technological revolution is upon us – don’t fall behind. Come learn more during this educational session hosted by Booz Allen and NVIDIA.  We’ll show you how to accelerate your Operations Research and Advanced Analytics capabilities through open source deep learning toolkits, showing real examples of how to wield these emerging techniques using right-sized training and GPU technology.

Sunday April 15, 3-4:45pm

Calling all OR Heroes: Learn how to model and deploy solutions in 75% less time with FICO® Xpress Insight

Join our hands-on workshop that shows you how FICO® Xpress Insight helps you read data in any format from any source, integrates with your own machine learning and solvers (or uses Xpress Solvers), enables you to collaborate with your business users, deploys decision support or automated solutions, and does it all in 75% less time.

  • We will workshop using Xpress Mosel, the premier mathematical modeling, analytic orchestration and programming language, and Xpress Insight. 
  • Leveraging real business use cases, we will showcase how you can use your own solver/s to integrate with the powerful Xpress Insight platform.
  • We will also cover the open Xpress Mosel native solver interface, which empowers all solver developers, to extend Xpress Mosel within their own environment. It connects developers instantly with thousands of users.

All attendees will receive their complimentary license to FICO Xpress Optimization Community License.

Frontline Systems, Inc
Sunday April 15, 3-4:45pm

Full-Spectrum Analytics in Excel, Tableau, Power BI, or Your Own Application
Presented by: Daniel Fylstra, President, Frontline Systems Inc.

See the easiest way to build models, get analytics results, and share them across your organization at this workshop, where business analysts, developers new to analytics, and experts are all welcome.  We’ll demonstrate how you can quickly get results from data and text mining, Monte Carlo simulation and risk analysis, conventional and stochastic optimization models, by leveraging skills you already have.  We’ll move an advanced analytics model from Excel to Tableau, Power BI, or your own web or mobile app — where the model still runs — with just a few mouse clicks.

Pull data into your analytic models, whether it’s in spreadsheets, databases, BI systems, cloud sources, or Apache Spark Big Data clusters.  Learn analytic modeling as you work to get results, using our online courses, or in hundreds of university courses where our software is used.  You’ll see why over 8,500 organizations have used Frontline Solvers over more than 25 years, and why over 350,000 users are already using our cloud analytics apps.

Gurobi Optimization
Sunday April 15, 3-4:45pm

Recent Developments in the Gurobi Optimizer
Presented by: Dr. Edward Rothberg, Chief Executive Officer and Co-founder, Gurobi Optimization & Dr. Michel Jaczynski, Sr. Software Architect, Gurobi Optimization

Learn about the latest advancements in Gurobi Optimizer. In this workshop, we’ll give an overview of our upcoming Gurobi 8.0 release, which includes significant performance improvements, a number of new features, and major enhancements to our Compute Server and Instant Cloud products.

Sunday April 15, 11am-12:45pm

Decision Optimization-Integration in DSX
Presented by: Virginie Grandhaye & Xavier Nodet

Within the Data Science Experience platform, IBM provides to Data Scientists and Data Science Leaders:

  • the ability to combine optimization techniques with other analytics technologies such as statistics and machine learning in an unified environment. For example: Decision Optimization models can ingest forecasts generated by Machine learning models, and automatically recommend which actions to take;
  • the ability to deploy their models in minutes, creating micro-services that can be immediately integrated into applications or more complex services;
  • the ability to boost their productivity using visual dashboards that help validate the optimization models . They can explore trade-offs between different action plans in a single view using features that enable What-If scenario comparisons.

We will showcase this technology and demonstrate its ease of use.

Version 12.8 of IBM CPLEX Optimization Studio is available to customers, teachers and students since December 2017. Among other features, it offers a new callback framework in CPLEX, the Generic Callback.

The CPLEX Generic Callback was designed from the ground up with a significant goal in mind: providing a simple framework that keeps all CPLEX performance. By making sure that callbacks don’t introduce any change in the solution path, the Generic Callback allows users to monitor CPLEX behavior without interfering with it, and to drive CPLEX without incurring any undue cost. By not disabling Dynamic Search or any other feature, performance improves by 25% on difficult models.

We will introduce this new features, and some of the other improvements that went into CPLEX Optimization Studio 12.8, such as performance improvements in Constraint Programming, MIP and other algorithms, new platforms for OPL and the IDE (including MacOS) and gap display while solving CP models.

Lindo Systems, Inc
Sunday April 15, 1-2:45pm

A Guide to Applying Optimization in Multi-Period Planning Pitfalls, Prescriptions, and Practical Advice
Presented by: Linus Schrage

Optimization based planning is a powerful tool for increasing efficiency and profitability in a wide range of industries, such as petroleum production, mining, power generation, workforce staffing, etc. Join us to learn the best ways to represent a wide variety of key features in your long-range planning models to maximize usefulness and solvability. Some of the critical features discussed include: a) Planning horizon length; b) Ending conditions. c) Period length; d) Uncertainty; e) “Nervousness” and “sliding” schedules; f) Changeover, startup and shutdown costs. g) Precedence constraints among activities in the plan: h) Scarce resource constraints; i) Taxes; j) Nonlinearities and how to linearize.

Sunday April 15, 11-12:45pm

Data Analytics with MATLAB

Learn how to take advantage of the latest and greatest features of MATLAB for descriptive, predictive and prescriptive analytics.  With MATLAB data analytics, you can turn large volumes of complex data into actionable information for making decisions. You will hear about our features for preprocessing, visualization, machine learning, deep learning, text analytics, simulation and optimization. See how the new, simplified optimization modeling methods can be used with both MATLAB and third-party optimization solvers. We will demonstrate these features through examples such as sentiment analysis, algorithmic trading, production planning, predictive maintenance, load forecasting, unit commitment and workforce scheduling. You will also learn about our options for deployment, from embedded to enterprise systems.

Optimization Direct
Sunday April 15, 9-10:45am

DSx and CPLEX: Overview of Datascience Experience for advanced modeling and optimization and latest developments/results in CPLEX and  ODh+CPLEX

Organizations are increasingly hiring Data Scientists with Open Source skills. Leverage the capabilities of Data Science Experience DSx  to work with Open Source tools like R, Python, Spark, as well as integration with CPLEX and Weather Company data. Come learn how DSx integrates with Open Source tools to enable clients to get the best of both worlds (Open Source programming and the Modeler GUI for those who prefer not to code).  Furthermore we will review the latest developments/results in CPLEX Optimization Studio and the new ODh+CPLEX. 


/ Alkis Vazacopoulos: An introduction to Datascience Experience

/ Sumeet Parashar, IBM: Decision Optimization (CPLEX) in DSX using Python Notebooks – An introductory example

/ Joshua Woodruff, Optimized Financial Systems:   Leveraging python packages to improve model-building performance.

/ Robert Ashford:  Recent benchmarking results with ODH|CPLEX

Princeton Consultants, Inc
Sunday April 15, 1-2:45pm

pandas for Analytics Practitioners, with Applications in Optimization
Presented by: Dr. Irv Lustig, Optimization Principal, Princeton Consultants

The Python library pandas ( is popular with data scientists, who use it to carry out an entire data analysis workflow in Python. When building analytics models, we often work with data in tables that are sourced from databases, CSV files, and spreadsheets. pandas provides a uniform environment for working with data tables with a large number of methods for manipulating tabular data, many of which are directly applicable for building large scale optimization models. In this workshop, Irv Lustig will present an introduction to pandas and illustrate some of its powerful features that can accelerate optimization model development and deployment.

Provalis Research
Sunday April 15, 11am-12:45pm

Learn How to Perform Text Mining in Business Analytics

Business Analytics and Operations Research involves researching incident reports, corporate reports, social media, customer reviews and much more. The volume of available text has exploded in the digital age. It is extremely time consuming, expensive and in many cases impossible to read each and every document related to one’s research.  Text Analytics makes it possible to quickly import and analyze very large volumes of text documents. This presentation will showcase the different text analytics approaches used for Business Analytics such as computer assisted qualitative coding; exploratory text mining; content analysis dictionaries or taxonomies, supervised and unsupervised machine learning. We will discuss when one technique may be more appropriate than another and how they can work together to analyze text data.

Sunday April 15, 1-2:45pm

Solving Business Problems with SAS Analytics and OPTMODEL
Presented by: Rob Pratt, Senior R&D Manager, Bahar Biller, Senior OR Specialist and Ed Hughes, Principal Product Manager

SAS offers diverse analytic capabilities, including data integration, statistical analysis, data and text mining, forecasting, optimization, and simulation. The OPTMODEL procedure from SAS provides you with a full-featured optimization modeling language, access to a diverse set of solvers, and the ability to create and use customized solution algorithms. SAS analytic capabilities are also available through the cloud-enabled, open design of SAS® Viya®. You can program in SAS or in other languages—Python, Lua, Java, and R.

We’ll explore analytical and optimization case studies drawn directly from our work with SAS users in a wide range of industries. These case studies demonstrate PROC OPTMODEL’s power and versatility in building and solving optimization models, and in integrating with the full array of analytics provided by SAS.

SAS Education Practice
Sunday April 15, 9-10:45am

Sentiment Analysis of Donald Trump’s Tweets
Presented by: André de Waal, Principal Analytical Training Consultant

Social media generates huge amounts of data every day and most of the data is unstructured. This is a untapped resource that may provide significant benefits to companies able to exploit this data. SAS Visual Analytics is a big data tool that facilitates the visualization of large data sets. In this talk we demonstrate how insight can be derived from the analysis of Donald Trump’s tweets. First, a word cloud is built and then a sentiment analysis is done on all of his tweets. Tweets are grouped into topics and the sentiment surrounding each topic is analyzed. This leads to the discovery of novel and interesting insights.

JMP, a Division of SAS
Sunday April 15, 11am-12:45pm

JMP Pro:  Top Features That Make You Say “Wow”! The Best of the Best in JMP Pro 14

JMP is data visualization, analysis and modeling software from SAS for Mac or Windows. Come see the top 10 features in JMP Pro 14 that JMP users are raving about, including Text Explorer (for preparing and analyzing unstructured text data), the JMP Query Builder (for generating queries and writing SQL code directly in JMP), the Formula Depot (for comparing predictive models, scoring new data, and generating C, Python, SAS, SQL and JavaScript code), dashboards, interactive web reports, and the latest visualization techniques in the drag-and-drop Graph Builder.

Simio Simulation and Scheduling Software
Sunday April 15, 11-12:45pm

New Innovations: Cloud Computing, Real-Time Scheduling, Industry 4.0, and More
Presented by: Renee Thiesing and Katie Prochaska (Simio LLC)

With Simio leveraging the cloud computing power of Microsoft Azure to support your most demanding applications, its compatibility with Schneider Electric’s Wonderware to allow detailed production scheduling with real-time data and risk analysis, and ability to schedule and reschedule in real-time, Simio is leading the way in Industry 4.0 and creating a digital factory. Outside our immense technology partner advances, we have great new features, application areas and capabilities! Come explore an overview of the new Simio experience and see why we are always “Forward Thinking.”

Sunday April 15, 1-2:45pm

Building an Analytics Center of Excellence  – People, Process, Technology, Governance and ROI
Presented by: Todd Jones – SVP, Analytics

Many organizations are starting to establish an Analytics Center of Excellence (ACoE) to serve as the primary hub of analytic activity.  Creating an ACoE on an organization chart is a start, populating an ACoE with core processes, technologies, frameworks, and skills is the critical next step.  This workshop will educate participants on how to merge strategies with tactics to create an ACoE producing repeatable, measurable ROI.  This is a three-part workshop covering the three major pillars required for a successful ACoE, including:

Part I: Agile Analytics Development Lifecycle Processes & Skills
Part II: Big Data Technologies & Analytics Governance
Part III: Analytics Activation & ROI

Join us in discussing the keys to success for any Analytics Center of Excellence.