Decision Optimization in IBM Cloud Private for Data

Decision Optimization in IBM Cloud Private for Data

Alain Chabrier Alain Chabrier

Alain Chabrier

Ex-Business Analytics AI Senior Technical Staff Member at IBM

发布日期: 2019年1月18日
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You might have seen some announcements about "IBM Cloud Private for Data" being ranked #1 by #forrester in their latest wave on Enterprise Insight Platform. Decision Optimization is available as an add-on to this platform with all similar experiences as in Watson Studio Local. See some screenshots.

Use Decision Optimization with the docplex Pyhon API in notebooks:

Use Decision Optimization with the model builder:

In the Decision Optimization model builder, you can use multiple scenarios and dashboards.

If you are not an expert in formulating mathematical model, you can use the modeling assistant:

And, obviously, you can deploy your models to be integrated using simple REST APIs and tokens:

All this Decision Optimization functionality works in a similar way than it Watson Studio Local. Refer to previous posts for more details.


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