AIQ Workbench automates the training and retraining of models whenever there is data drift or a model drift. The trained models can then be stored in any cloud repository, in this case, it is stored in Amazon S3. AIQ Workflow enables Data Scientists to automate deployment pipelines to deploy trained
Successful Machine Learning projects is not only about ML code but also mandates for a standardized process where models are automatically logged and trained with proper versioning. Typically ML projects kickstart with business team setting the goal. Once the goal is set, data engineers develop the data pipeline by collecting