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Technology Workshops

Introduction of Arundo Fabric and Arundo Composer
Presented by: Tailai Wen, Data Scientist, Roy Keyes, Senior Data Scientist & Kristofer Maanum, Project Specialist

Saturday, October 21, 2017
In this session, we will introduce and demonstrate Arundo Fabric and Arundo Composer, two enterprise products of machine learning and IIOT that are customized for asset-heavy industries. 

Arundo Fabric is a big data infrastructure that streamlines organizational data ingestion and structuring, data-driven modeling and model management, and IIOT security protection. It enables the creation of a single source of truth for industrial, digital assets that can be easily managed and enriched to maximize operational value. 

Arundo Composer is a tool closing the gap between data science teams and operation units within asset-heavy enterprises. Enabling data scientists to quickly build, test, and publish models, Arundo Composer minimizes typical development overhead related to operationalizing industrial analytics. It helps data scientists to deliver business impact by publishing custom apps in enterprise environments. 

DiDi Chuxing
Didi Chuxing Pre-conference Workshop

Saturday, October 21, 2017
(Didi Chuxing is the world’s leading mobile transportation platform.) You are warmly invited to chat with the DiDi INFORMS team, to learn about our business and research topics related to platform economics, operations management, transportation science and engineering. We look forward to exchanging ideas and building connections. We will share some examples of research projects that we have collaborated with academia, and you will learn about the opportunities to work together with our internal research teams. If you are on the market, we are also here hiring!

Become an OR Hero: Learn how to build, model, solve, and deploy analytics and optimization with FICO Xpress Optimization

Saturday, October 21, 2017
A hands-on workshop where you will learn how to advance beyond developing complex models, towards single-handedly creating complete applications that support decision makers. You will spend less time running scenarios for others, and more time on building better models. You will spend more time creating value, and less time entwined in IT processes.

The FICO Xpress Optimization Suite enables users to rapidly build, deploy and use complete business optimization solutions. Xpress includes scalable high-performance solvers and algorithms, flexible modeling environments, rapid application development, comparative scenario analysis and reporting capabilities, and role-based collaboration features for on-premises and cloud deployments.

We will cover the end-to-end application creation and maintenance process, for any analytic or optimization model, from its early steps all the way to rapidly implementing feedback from business users for deployed applications. We will be using Xpress-Workbench and Xpress-Insight. All attendees will also get access to the Free Community Edition to get started.

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

Saturday, October 21, 2017
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 300,000 users are already using our cloud analytics apps.

GAMS – An introduction and selected advanced topics

Presented by: Lutz Westermann and Fred Fiand (GAMS Software GmbH)

Saturday, October 21, 2017
This workshop is split into two parts.

We start with the basics of GAMS to develop algebraic models, solve them using state-of-the art algorithms, and introduce the key concepts of GAMS and the fundamentals of the language (e.g. sets, data, variables, equations). The largest part of the workshop will consist of a demonstration, where we are going to build a simple optimization based decision support application from scratch. We show how GAMS supports an easy growth path to larger and more sophisticated models, promotes speed and reliability during the development phase of optimization models, and provides access to the most powerful large-scale solver packages. Along the way we will look at some of the data management tools included in the GAMS system and show how to analyze and debug large problems using the various tools available within GAMS.

This introduction assumes no familiarity with GAMS.

After a short break we will continue with the second part, which is catered to the requirements of advanced GAMS users and application builders. It provides a great opportunity to learn about selected topics and recently added features like:

– The use of the GAMS Object-Oriented API’s to integrate GAMS models into different environments, like C#, Python, and Java.
– Code embedding in GAMS
– Stochastic programming in GAMS

Gurobi Optimization
What’s New in the Gurobi Optimizer?  
Presented By: 
Dr. Robert Bixby, Chief Strategy Officer and Co-founder, Gurobi Optimization, Dr. Edward Rothberg, Chief Executive Officer and Co-founder, Gurobi Optimization, Dr. Renan Garcia, Sr. Optimization Support Engineer, Gurobi Optimization

Saturday, October 21, 2017
Learn about the latest improvements in the Gurobi Optimizer.  We’ll give an overview of our recent 7.5 release, which includes improvements to our Python and multi-objective interfaces, new JavaDoc documentation, detailed communication statistics in our Compute Server product, and significant performance improvements.  We’ll talk about some of the technology that underlies these performance improvements, as well as discussing historical performance trends.  Finally, we’ll talk about upcoming improvements to our Compute Server and Instant Cloud products.

Latest news about IBM Decision Optimization
Presented by: Vincent Beraudier, Xavier Nodet, Andrea Tramontani

Saturday, October 21, 2017
We will present and demo the latest advances of IBM Advanced Analytics team in Mathematical Programming and Constraint Programming engines, as well as in leveraging DSX (datascience experience), a social environment built by data scientists for data scientists.

First, we will present the latest features and performance improvements in CPLEX Optimization Studio. We keep improving the CPLEX and CP Optimizer engines to allow solving a breadth of optimization problems, faster than ever.

Then we will explain how, with Decision Optimization in DSX Local, you can:

* Solve Python based mathematical problems by calling optimization engines
* Investigate and compare scenarii to find the best solution to a problem, either manually or programatically.
* Create models using a natural language assistant (currently available only for scheduling problems)
* Create configurable dashboards for Business Users.
* Smoothly mix Machine Learning algorithms with Optimization models.
The talk will consist in demos of all these capabilities and highlight of all the online available resources to discover and learn these capabilities.

LINDO Systems
Speeding Development and Boosting Performance of Optimization Planning Models with What’sBest and LINGO

Presented by: Linus Schrage

Saturday, October 21, 2017
Workshop participants will gain insight into quickly building and solving optimization planning models using the latest new capabilities in LINGO and What’sBest!. We examine a variety of applications, and discuss the unique challenges associated with each, find out what works and what does not, and discuss examples of the solution experience. Applications areas include: a) Resource extraction, e.g., Mining and Petroleum where a complicating factor is that the production rate and the cost per unit extracted changes depending upon the stage.  b) Crop/Forest Planning, where the interesting features are the long planning horizon and the decision of when to harvest, given an age related growth rate, and perhaps interactions between species, c) Electricity Generation unit commitment, where interesting features are start-up and shut-down costs, and output rate related efficiencies as with hydro;  d) Workforce staffing, especially in the health industry.  e) Scheduling& Sequencing, e.g., machine scheduling, tank scheduling, pipeline scheduling, where the interesting complications are precedence constraints among tasks, duedates, ready times, and more. The workshop’s primary focus is on integer programming, but will also illustrate nonlinear models such as arise in simultaneous price/volume decisions. We illustrate latest features in LINGO such as matrix commands, and extensive graphics such as space-time charts for routing and Gantt charts for scheduling.

What’s New in MATLAB for Data Analytics

Saturday, October 21, 2017
Are you using MATLAB to its fullest potential for Data Analytics?

MATLAB has changed significantly over the last 3 years to address the growing needs of our users, but we’ve noticed that even experienced MATLAB users aren’t taking advantage of our latest and greatest features for descriptive, predictive and prescriptive analytics.

This seminar will cover the newest MATLAB features, illustrated with demos, and show you how to utilize these features to simplify your work, save time, and increase your productivity.

Highlights include:

  • MATLAB Foundation Updates
    • Faster execution engine
    • Live Editor
    • App building and sharing
  • Data handling and language enhancements
    • Simpler data importing
    • Improved datatypes
    • Big Data capabilities
    • Preprocessing
  • Deployment
    • Embedded Systems
    • Enterprise Systems
  • Machine Learning
    • Apps for classification and regression
    • Hyperparameter tuning
    • Deep Learning
  • Optimization
    • Solver enhancements
    • Modeling techniques

Optimization Direct
DSx and CPLEX: Overview of Datascience Experience for advanced modeling and optimization and latest developments/results in CPLEX and  ODh+CPLEX
Presented by: Alkis Vazacopoulos

Saturday, October 21, 2017
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.

Quantitative Risk Analysis and Analytics with the DecisionTools Suite
Presented by: Rafael Hartke

Saturday, October 21, 2017
Uncertainty can be a source of great pain or great value for management. This workshop will present tools for analyzing and quantifying risks, and how to make better business decision with them – all within the familiar MS Excel environment.

The tools that will be presented are part of Palisade’s DecisionTools Suite, and cover a wide range of business necessities involving risk and decision making, such as:

  • Measuring the cost/value of risk in projects and investments decisions
  • Determining risk sensitivity and ranking most relevant risks
  • Valuation of mitigation strategies
  • Strategic planning and optimization under risk
  • Analyzing historical data and making forecasts with risk
  • Fitting distributions with historical data and with expert opinion
  • Analyzing historical trends and patterns for classification and quantification

Responsive Learning Technologies
Play the Sourcing Game: A new online game to teach negotiation, contracting and inventory management in supply chains
Presented by: Sam Wood, President

Saturday, October 21, 2017
From the creators of Littlefield Technologies and the Supply Chain Game comes a new online game to teach sourcing and purchasing in supply chains.  In the Sourcing Game, teams of students produce inventory, negotiate purchasing contracts with other teams, and sell inventory in a retail market.  After introducing the game, participants will play an actual game.  Although not required, participants are encouraged to bring a laptop or tablet computer.

SAS, JMP Division
JMP Pro, and the Predictive Modeling Workflow
Presented by: Mia Stephens, JMP Academic Ambassador

Saturday, October 21, 2017
JMP Statistical Discovery Software from SAS brings interactive data visualization, analysis and modeling to the desktop (Mac or Windows). JMP Pro, the Professional version of JMP, has many tools to facilitate fitting, validation, comparison, selection and deployment of predictive models. In this workshop, we use a real estate case study to illustrate the predictive modeling workflow. We’ll compile data, prepare the data for modeling, explore the data, and generate geographic maps and other rich visualizations. Then, we’ll create a number of predictive models, including multiple linear regression, regression tree, bootstrap (random) forest and boosted tree, neural net, LASSO, and Elastic Net. We’ll “publish” models to the Formula Depot, and explore and select the best model(s) using the Prediction Profiler and Model Comparison. Then, we’ll use the Formula Depot to generate scoring code to support the creation of a web application that can calculate housing prices “on the spot.”

Solving Business Problems with SAS Analytics and OPTMODEL
Presented by: Rob Pratt, Pelin Cay, Ed Hughes

Saturday, October 21, 2017
SAS provides a diverse array of analytics, including data integration, statistical analysis, data/text mining, forecasting, and reporting, all integrated with operations research capabilities in optimization, discrete-event simulation, and scheduling.  The most prominent element of optimization with SAS is the OPTMODEL procedure. OPTMODEL incorporates an algebraic optimization modeling language that provides unified support for LP, MILP, QP, NLP, CLP, and network-oriented models and methods, including an expanding suite of standard solvers and support for customized algorithms.

We’ll demonstrate OPTMODEL’s power and versatility in building and solving optimization models, noting the significant improvements resulting from recently added features.  We’ll emphasize integration with SAS data, analytic, and reporting capabilities, largely focusing on case studies drawn from our successful work with customers across a broad range of industries.

The Coexistence of a Simulation Model and a Real-Time Planning & Scheduling Tool, on the Desktop and in the Cloud
Presented by: Renee Thiesing, Senior Applications Engineer, 412-259-5871

Saturday, October 21, 2017

Come learn how a simulation model that can be used for facility design or business process optimization can also be used for real-time planning and scheduling. We will discuss how one Simio tool is a dual purpose solution that can be used to address future planning decisions as well as daily, operational decisions. Simio now leverages the cloud computing power of Microsoft Azure to support your most demanding applications. We will show how our Simio Portal Edition can be used for rapid experimentation or to simply share results across your enterprise. Come explore an overview of the new Simio experience and see why we are always “Forward Thinking.”

Experience Visual Analytics with Tableau
Presented By: Ali Kherani

Saturday, October 21, 2017

Get ready to learn how to inform and inspire others when presenting data with Tableau’s business intelligence platform. Join us for this hands-on session to discover how to turn data into actionable insights and find out why Forbes recently ranked Tableau as the technical skill with the third biggest rise in demand. We’ll provide an overview of Tableau and walk you through the key features and functionality of our visual analytics platform. This hands-on workshop will excite you to explore your data in a different way!