Optimization Direct at INFORMS Annual Meeting, Houston, October 2017
Technology Workshop: DSx and CPLEX: Overview of Datascience Experience for advanced modeling and optimization and latest developments/results in CPLEX and ODh+CPLEX
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..
/ Alkis Vazacopoulos: An introduction to Datascience Experience [Slides]
/ Sumeet Parashar, IBM: Decision Optimization (CPLEX) in DSX using Python Notebooks - An introductory example [Slides]
/ Ed Klotz, IBM: Automatic Benders Decomposition in CPLEX [Slides]
/ Robert Ashford: Recent benchmarking results with ODh+CPLEX [Slides]