IBM Watson Data Platform - Structured Ideas

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Ease call, edit, debug, and monitor OPL / CPLEX models within DSX

OPL is a much simpler way than Python for optimization modeling and today we provide only


If we had a simpler way OPL / CPLEX customers could move their models to DSX and DSX data scientists could move to optimization faster. This would help DSX compete against companies like Dataiku


NB: Some figures at


  • Alex Fleischer
  • Dec 20 2017
  • Needs review
  • Attach files
  • stephen Hall commented
    December 20, 2017 10:27

    Agreed, building an optimization model in Python required medium knowledge in optimization and programming. The barriere to entry is much lower with OPL. It would be great to be able to call and use an OPL model in a notebook.

  • Ferenc Katai commented
    December 20, 2017 12:11

    in addition, there are large assets in term of model development out there - especially in production -, so any new platform should target those customer-base AND if the client finds the python modeling more rewarding than anything else then they can still decide to move their assets to python (or any other language) and stay with the platform. Otherwise, either the platform excludes those clients or force them to move, which may not be a good start considering customer experience...