Technology Workshops – Sunday


Tangible Ways to use our Prescriptive Analytics Technology to Quickly Solve Complex Business Problems and Bring Competitive Advantage to Your Business

Chris Gordon, Deanne Zhang, Haraldur Haraldsson, AIMMS

Successful companies are using our technology to drive change and innovation in strategy and execution. Our clients have increased revenue and saved/avoided billions of dollars in costs. This workshop offers a practical approach for individuals who have been trying to solve tough problems and would like them solved far quicker. You may be trying to improve planning, reduce costs, optimize your supply chain or increase innovation. You might also be looking for a new way to update your organization, methods and tools. We will share:
• How AIMMS can help you and your staff make better decisions
• How to create cool custom Apps that provide your users with recommended actions
• A proven methodology that outlines how to take your ideas and drive them to results
• Real world examples and demos as inspiration


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Newest Features and How they Apply in Solving Multiple Business Challenges


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ArtelysCrystal: A Software for Power Supply-demand Adequacy Analysis

Guillaume Jean Tarel, Artelys

This presentation focuses on the use of Artelys Crystal Super Grid, a power systems modeling software developed by Artelys. Our users are investors, regulation authorities and independent system operators (ISO), ministries, consultants or transmission system operators (TSO/RTO). Their objective is to evaluate in detail the interest of specific projects(generation/transmission/storage) in terms of revenue, social welfare, pollutant emissions, and security of supply in a region. To this purpose, Artelys Crystal Super Grid uses built-in libraries of power assets and indicators, along with a powerful optimization engine, to simulate systems with tens of interconnected regions on an hourly basis. Its intuitive interface allows for efficient analysis, comparison and evaluation of large number of scenarios.


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BIAS Intelligence Presents Logistics Optimizer

Ilya P. Buzytsky, BIAS Intelligence Inc

Bias Optimizer is the distributed cloud based system providing logistics and transportation optimization solutions. It enables the most effective balancing of supply/demand requests based on one or many pre-defined cost functions, tailorable to individual business vertical’s requirements. With Bias Optimizer your business will be able to:

1. Model and optimize your supply-demand routes and costs using a number of advanced algorithms

2. Leverage the metadata-driven optimization rules engine, flexible to support even the most complex business constraints, via a multi-stage and dynamic database driven entities

3. Support any business vertical in need of solving a resource distribution or transportation problem

4. Become Cloud and distributed processing ready, while maintaining on premise IT systems compatibility, if desired


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Getting Started with R Statistical Language

Elea McDonnell Feit, Assistant Professor of Marketing, Drexel University

R is rapidly becoming a standard tool for statistical analysis, yet many analysts are reluctant to try it due to the steep learning curve. This tutorial will give attendees the foundation needed to navigate R successfully, focusing on two core tasks in R: manipulating data and estimating statistical models. In addition to developing these foundational skills, participants will take away an appreciation for the R language and the rapidly-growing R community.

Attendees are encouraged to bring a laptop with R installed. R is available to download

Elea McDonnell Feit is the author or R for Marketing Research and Analtyics, along with Chris Chapman. She teaches courses in digital marketing and marketing experiments at Drexel University and The Wharton School and regularly uses R in her research on consumer choice and advertising response. 

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Supercharge your Excel Applications with Advanced Analytics, What-if Analysis, and Auditability

Libin Varghese, FICO

Since the advent of VisiCalc nearly 40 years ago, organizations have increasingly relied on spreadsheets for analysis, reporting, and other uses. As the need for decision speed and precision have escalated, however, business and analytic personnel alike have discovered that the lack of version control, large data sets, and cumbersome analytic tool integration now limit the usefulness of their spreadsheets. Many are looking for a way to supercharge their Excel capabilities. The question is how? Attend this session to see FICO’s solution to support businesses that need to evolve beyond what spreadsheets alone can achieve. FICO Optimization Modeler is an advanced analytic platform that helps business experts solve their most challenging, mission-critical problems with powerful, fast and easy-to-use optimization tools. Its rich simulation, visualization and reporting capabilities immediately help transform business scenarios into compelling solutions, while allowing for easy import and export between third party analytic modeling tools and even your complex spreadsheets.


How to Solve, and Deploy Optimization Across Industries with Fico Xpress

Oliver Bastert, FICO

At the core of FICO Xpress Optimization Suite are its solver libraries. In this session, hear about the latest enhancements to our linear, mixed-integer and nonlinear solvers. We’ll also share details about the new parallel MIP implementation, which is based on a new task manager that optimizes deterministically independent of platform and number of CPU cores. Optimization models are more and more frequently deployed as distributed, multi-user solutions within company networks or in cloud-based environments. We’ll discuss the impact of these trends on modeling tools, including aspects such as data handling, support of concurrent and distributed computing, and internationalization as well as requirements on solver technology and integration with analytic tools like R. We’ll also demonstrate example implementations based on the Xpress solvers, modeling and rapid application development stack.

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Creating And Publishing Interactive Online Analytics Applications

Michael Bean, Forio

Forio’s web platform makes your analytic model available to hundreds of people within your organization through the browser. We will start with an introduction to the platform and example analytics applications. Then we’ll divide the workshop into two parts. In the first part we will teach you how to get your analysis on a server so it can be shared. The second part will focus on creating a user interface for your model.


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Analytics In Your Browser, Your Spreadsheet, And Your Own Application

Daniel H. Fylstra, Frontline Systems, Inc.

Find your fastest path to real analytics results at this workshop. We’ll show how you can build Big Data predictive analytic models with “just” a web browser and XLMiner®; solve the largest conventional and stochastic optimization models with “just” a spreadsheet and Analytic Solver® Platform; and create a powerful simulation model in a single-page web or mobile app with “just” two mouse clicks and RASON®, our analytics API. Learn why 100,000 users adopted our cloud analytics apps in the past year. There’s a whole world of down-to-earth advanced analytics happening – possibly in your company — that you may have missed. To find out, don’t miss this workshop!


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The Role of Algebraic Modeling Languages in Industrial Optimization

Steven P. Dirkse, GAMS Development Corporation

Algebraic Modeling Languages (AML) are one of the success stories in Operations Research. GAMS is one of the prominent AMLs and during this workshop we will showcase fundamental principles, recent and ongoing developments, and our view of the future of AMLs. We will review some application examples done by our clients in academia and industry, in which optimization is an important element. These projects give insight into the complexity of tasks as well as the variety of environments in developing and deploying optimization applications.


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Recent Improvements In The Gurobi Optimizer

Edward Rothberg, Gurobi Optimization, Inc.,

This workshop will focus on two topics: the latest developments in the Gurobi Optimizer, and how to build optimization models in Python using Gurobi and Anaconda. In the first part, we’ll talk about our recent Gurobi 6.5 release, which includes significant performance enhancements, several new features, and the new Gurobi Instant Cloud. In the second part, we’ll talk about our new Anaconda Python connector, and we’ll walk through a few examples of how Gurobi and Anaconda can be used together to build rich optimization applications.


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Discover How to get the Most out of Predictive Analytics with IBM SPSS Modeler Gold

Ted Fischer, IBM SPSS Modeler Gold

In this workshop, you’ll get an overview of how to use SPSS Modeler Gold for forecasting and clustering, including use cases such as fraud detection and customer analysis. You’ll also see a number of use cases where IBM Decision Optimization (including CPLEX) is accessible inside SPSS Modeler Gold to achieve maximum benefit from combined Predictive and Prescriptive Analytics.


Discover How to Get the Most out of Prescriptive Analytics with IBM Decision Optimization

Susara van den Heever, Katai Ferenc, Hans Schlenker and Paul Shaw, IBM

In this workshop, you will:

  • Get an overview of the IBM Decision Optimization portfolio, including what’s new in CPLEX Optimization Studio (COS), Decision Optimization Center (DOC), and Decision Optimization on Cloud (including how to create an app on Bluemix using CPLEX on cloud).
  • Learn about the difference between CPLEX and CP Optimizer, and how CP Optimizer can help you with your scheduling problems.  Discover constraint-based scheduling, modeling for scheduling and the techniques used under the hood inside CP Optimizer.
  • Learn how to use the DOC Rest API to create a custom user interface (local or on cloud) for your decision-making applications.


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New Features to Speed Up Development of Your Planning Models

Linus Schrage, LINDO Systems

For the INFORMS Analytics meeting, LINDO Systems is introducing a wide variety of new features in its optimization based planning tools. There is improved speed for all model types. There are extensive new functionalities, such as for the handling of multiple scenarios, debugging models, finding the K best solutions, matrix capabilities, etc. Through real world based examples, we will show you which tool is best for each situation.


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How to Configure a Multi-Echelon Model for Inventory Optimization

Jeff Pittman, Logility

In this workshop we will show how to set up a multi-echelon inventory optimization model that supports analytics of a variety of critical business decisions. We will discuss the key inputs and outputs to the model. We will review the modeling considerations and the pros and cons of modeling approaches. We will also explain the intuition behind the optimization results.


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CPLEX Optimization Studio Modeling, Theory, Best Practices and Case Studies

Recent advancements in Linear and Mixed Programing give us the capability to solve larger Optimization Problems. CPLEX Optimization Studio solves large-scale optimization problems and enables better business decisions and resulting financial benefits in areas such as supply chain management, operations, healthcare, retail, transportation, logistics and asset management. In this workshop using CPLEX Optimization Studio we will discuss modeling practices, case studies and demonstrate good practices for solving Hard Optimization Problems. We will also discuss recent CPLEX performance improvements and recently added features.


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An Introduction to Programming and Data Analysis using SAS University Edition

James Harroun, Global Academic Program

SAS University Edition is a powerful tool for getting up and running with SAS: the SAS University Edition interface is intuitive yet powerful and provides the user with a supportive programming interface along with convenient point and click tools. A variety of data will be acquired and loaded, initial data quality assessments will be performed, data will be analyzed, and final reports will be generated in .pdf and .rtf formats. Attendees will experience how SAS University Edition is a powerful application for SAS programmers at all experience levels.


Solving Business Problems With SAS Analytics and OPTMODEL

Edward P. Hughes, SAS Institute, Inc.

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. We’ll explore analytical and optimization case studies drawn directly from our work with SAS users in government, pharmaceuticals, consumer packaged goods, and transportation. 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.


An Interactive Approach to Predictive Modeling with JMP Pro

Mia Stephens, SAS Institute, Inc.

Statistical Discovery Software is dynamic and interactive desktop software for data preparation, visualization, analysis, and modeling. In this workshop we’ll demonstrate the very latest in visualization and predictive modeling tools in JMP Pro using compelling case studies. We’ll see built-in tools for data exploration and preparation, and will fit a variety of predictive models, including linear and logistic regression, classification and regression trees, neural networks, and penalized regression techniques. We’ll demonstrate JMP tools such as the Prediction Profiler, Effect Summary and Solution Path to interactively explore parameters and select potential models. Finally, we’ll compare a variety of competing models using Model Comparison.


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Building An End-to End Churn Model

This workshop will allow users to get hands-on experience building advanced analytic models using some of the leading Big Data and Data Science technologies. During this workshop, we will tackle the problem of churn. For many businesses, customer churn represents a significant loss of revenue every year. With customer data captured in many systems (POS, Loyalty, CRM, EDW), data scientists need technologies and processes that allow them to quickly pull the data together, build the customer 360 view, and begin their modeling process. This workshop will have users build a data pipeline that processes raw data from many sources into a form suitable for analysis, and then build and deploy a machine learning model on the data. Additionally, the users will build dashboards to tell the data story and convey the results. Each user will have their own sandbox analytic environment, so join us in exploring the power of Big Data and Data Science. Attendees will learn:

• The core components of an analytic environment and how they relate – data storage in Hadoop, data transformation and data science in Dataiku, and data visualization in Qlik

• How to manage and build an automated data pipeline

• The basics of building and deploying a predictive model in R

• How to build a visualization to tell the data story