What can be done once the training of a machine learning model has been completed...

[Reference:SAP AI Core facilitates the deployment of machine learning models, allowing them to be exposed via deployment URLs for consumption., , 2. Registering the Model in the Hyperscaler Object Store:, Model Storage:Trained models can be stored in a hyperscaler object store, which provides scalable and durable storage solutions. This ensures that models are securely saved and can be accessed or versioned as needed., Reference:SAP AI Core integrates with various storage solutions, enabling the registration and management of machine learning models in object stores., , 3. Additional Considerations:, Model Optimization:While direct optimization of the model's accuracy within SAP HANA is not a standard post-training step, performance tuning can be performed during the training phase or by retraining with adjusted parameters., Deployment in SAP HANA:Deploying the model directly in SAP HANA is not typically facilitated through SAP AI Core; instead, models are deployed within the AI Core environment or other compatible serving infrastructures., Conclusion:, After completing the training of a machine learning model in SAP AI Core, deploying the model for inferencing and registering it in a hyperscaler object store are standard practices to operationalize and manage the model effectively., ]