Updates

Optimization Direct at INFORMS, Baltimore 15-17 April, 2018

Conference workshop at INFORMS on 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. Workshop: DSx and CPLEX: Overview of Datascience Experience for advanced modeling and optimization and latest developments/results in CPLEX and ODH|CPLEX

Program

An introduction to Datascience Experience

Alkis Vazacopoulos, Optimization Direct
Introduction and recent case studies Slides [pdf]

Decision Optimization (CPLEX) in DSX using Python Notebooks - An introductory example

Sumeet Parashar, IBM
Manufacturing Industry Best Practices for Better, Faster, Smarter Decisions with IBM Analytics Slides [pdf]

Leveraging python packages to improve model-building performance

Joshua Woodruff, Optimized Financial Systems
Modeling Performance Slides [pdf]
A quick introduction to IBM CPLEX CPO Slides [pdf]

Recent benchmarking results with ODH|CPLEX

Robert Ashford, Optimization Direct
Using ODH|CPLEX Python interface Slides [pdf]
An introduction to ODH|CPLEX Slides [pdf]


Details on the INFORMS website.