Amazon SageMaker vs IBM Maximo

• Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
• Customization and easy to alter and change.
• If you already are an Amazon user, you do not need to transition over to another software.

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• We like Maximo because it is highly configurable. We have faced challenges in the past where a lot of customizations have been done. This has resulted in a lot of pain when going for upgrades.
• The recent development in the Asset Performance management area and having the capability to analyze the data has got us really excited and we are looking forward to more advanced capabilities in Maximo 7.6.
• We have also enjoyed the capabilities it has provided in the operator log and managing our asset master data.

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• It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
• Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.

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• Hard to implement. A high number of resources and manpower is necessary to implement and upgrade IBM Maximo due to its robustness and number of functionalities.
• Version fragmentation. Due to the challenge imposed by a version upgrade, it is common to find systems relying on legacy versions of Maximo which might become a challenge for the support team.
• Unfriendly UI. The excess of functionalities and services available might become a challenge for a starting user. Although it is possible to customize the UI to fit the exact needs of each user, it is important to map exactly what each user needs.

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• We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
• We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
• For our use-cases, serving models is less expensive with SageMaker than bespoke servers.

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• Maximo has been a bit of challenge to deploy but we know that in the long term integrated asset management will be key to our success.
• We do have a good return on investment when it comes to managing inventory in Maximo.
• We feel that IBM has not done a good job of providing big picture thinking on how we can take strategy across the asset life cycle and execute that in a single system, i.e. Maximo.

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