We chose to work with UbiOps because of its simplicity and speed, and because it can be integrated with the existing analytics platform. With UbiOps, they can deploy data science code immediately. APIs of the models are automatically created so they can make requests to it and bring the model live without having to worry about the IT. Furthermore, good and quick support.
- Easy packaging of scripts / libraries
- Trims down on development time by creating a common interface / platform for all models to be running in.
- Networking and data routing between models is managed by the pipelines. This means that the units of code deployed can be significantly simpler, which cuts down on both development and testing.
- Data exchanged across models can be a mix of structured, unstructured or binary blob data. It's quite flexible.
- Very granular permissions for model and credential usage.
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