Model steps enable integrating and executing machine learning (ML) or AI-based models or model-related operations in a Business Process (BP). You can find available Model steps in Workflow Designer of a Business Process: in the Reusable components panel, navigate to the Bot tab and find the Models category.
The chapter describes the end-to-end delivery flow of a machine learning (ML) project.
ML Ops Platform is an optional Work.AI add-on allowing you to work with more complex model types. The guide describes how to install the ML Ops Platform in your environment.
AutoML is a proprietory WorkFusion technology that supports machine learning (ML) tasks within the Work.AI platform. The article describes how to work with the AutoML technology and gives an overview of typical uses cases.
For monitoring process metrics, Work.AI offers Superset-based analytics installed together with the Product. To start working with the analytics, you only need to configure access. It does not require any additional third-party licenses and provides the following capabilities:
The article highlights models you can access in Work.AI.
To access a list of available Machine Learning (ML) models, select AutoML > Models. Control Tower updates the list every time a new model is deployed to your environment or you complete a training run.
ML Ops Platform, built on top of Kubernetes, is an optional add-in to our core Product. For instructions on installing the add-in and modifying the cluster configuration, read the guide.