Planning Analytics with Watson

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  • 1.  Decision Optimization

    InnerCircle
    Posted Sun September 19, 2021 08:58 PM

    Hello IBM Community,

    With IBM PAW 2.0.68 there is a new capability to use Decision Optimization on Cloud Pak for Data.

    Beyond the documentation (Use Decision Optimization), are there any examples or case studies that are in the works to help us learn the best way to integrate this into TM1 models? I would love the opportunity to use so looking forward to learning more about this new function.

    Thanks!



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    Adam
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  • 2.  RE: Decision Optimization

    Posted Mon September 20, 2021 05:11 AM
    There are few videos on youtube related to decision optimization - Optimize your plans with IBM Planning Analytics and IBM ILOG CPLEX Optimization Studio
    YouTube remove preview
    Optimize your plans with IBM Planning Analytics and IBM ILOG CPLEX Optimization Studio
    Want to see demand forecasting and optimized planning in action? Try the guided demo: https://www.ibm.com/account/reg/us-en/signup?formid=urx-34182Learn how ...
    View this on YouTube >


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    paul YOUNG
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  • 3.  RE: Decision Optimization

    Posted Thu September 23, 2021 10:05 AM
    Hi Adam,

    I apologize for the delay (vacation), we plan to have additional videos and information available on the Accelerator site soon.
    https://community.ibm.com/accelerators/?context=analytics&product=Planning%20Analytics
    Let me know if you have questions in the interim.
    Thanks

    Martin

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    STUART (MARTIN) PHILLIPS
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  • 4.  RE: Decision Optimization

    Posted Sun June 12, 2022 07:37 AM

    I am curious to understand how business partners are building out decision optimization solutions for their clients. IBM has both Maximo and Cplex as part of building asset and decision optimization solutions.

    https://ibm.box.com/s/jsoh4j5trldzhjv3aytrso6buhn921b7 or https://community.ibm.com/community/user/businessanalytics/blogs/alain-chabrier1/2021/09/30/decision-optimization-integration-in-planning-anal

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    paul YOUNG
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  • 5.  RE: Decision Optimization

    Posted Tue June 14, 2022 05:37 AM
    Hi,

    I am not sure I get precisely your questions. Let me say a few thigs and feel free to ask more on what is the core of the question.

    CPLEX is a Mathematical and Constraint Programming engine. It is the core of all IBM Decision Optimization capabilities.
    Some customers and partners use CPLEX directly to create a completely custom business solution that requires decision  making.
    In that case, they need to
     1. create optimization model formulations ,
     2. integrate it technically into their custom solution, and
     3. provide the required UI interactions to cover the decisioning needs.

    We also have quite a few IBM products which includes CPLEX one way or another in their stack.

    Maximo is indeed one of these. Not only it includes the engine, but it also includes some predefined models for some typical asset management problems. It also includes some OOTB integration and UI.

    Planning Analytics offers 2. and 3. Without any code you can plug some decision optimization behind a PAW action button. The integration to Decision Optimization is done through the Watson Studio part of Cloud Pak for Data. Hence it is robust and scalable.
    Still one need to formulate the optimization model. This can be done in Watson Studio by a data scientist with some optimization knowledge. This can be done by a partner, or by IBM (e.g. data Science Elite Team).

    Hope this helps,
    Alain


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    Alain Chabrier
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  • 6.  RE: Decision Optimization

    Posted Tue June 14, 2022 08:08 AM

    Hi Alain,

     

    Last week there was tech academy training which included a delivery of decision optimization with Planning Analytics. Several issues came out:

    1. Licensing costs
    2. Working with Maximo. Sales in the room are not compensated on any Maximo deals.
    3. PA and CA are looking at ways to work with Watson Asset as part of strengthening the predictability options with both PA and CA
    4. There is concerns that decision optimization is too pricy for mid-market clients.
    5. Many BP are building out their own decision optimization solutions as they have invested heavily in the hiring of data scientist.
    6. Envisi was being integrated with Maximo. There is big appetite for ESG reporting including private and public sector organizations. Public companies have been slowly building out their ESG reporting as part of their governance models

     

    Conclusion

    There is needs to better positioning on the decision optimization options for clients including partnering with BP strong in decision optimization space.

     



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    paul YOUNG
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