Machine Learning Model Undeployment
The concept name was not provided (marked as "undefined"), and the available source snippets do not contain sufficient detail to construct a grounded, accurate definition. Only one source ([S1]) offers any substantive content — referencing model training, deployment, and undeployment — but without a concept name or richer source text, a precise and accurate definition cannot be written. Please provide the concept name and ensure the source snippets contain the relevant descriptive content.
Tutorials that teach this
- Tutorial Get Recommendations Based on Users' Browsing History
- Tutorial Use the Regression Model Template to Predict Data Records
- Tutorial Consume the SDK for Data Attribute Recommendation using the AI API from SAP AI Core
- Tutorial Use the Invoice Object Recommendation (IOR) Business Blueprint to Predict Financial Objects
- Tutorial Use Data Attribute Recommendation to Classify Records, Delete Model and Dataset
- Tutorial Use the Sales Order Completion (SOC) Business Blueprint to Predict Missing Sales Order Fields
Docs explaining this concept
Prerequisites
- Concept ML Training Lifecycle Management The concept name was not provided (marked as "undefined"), and the supplied sources do not contain enough overlapping, clearly attributable content to construct a grounded 2–4 sentence definition for a specific, identifiable SAP developer concept. Please provide the concept name and ensure the source snippets contain sufficient detail to support a definition.
- Concept Machine Learning Inference **Intelligent Scenario Lifecycle Management (ISLM)** is an SAP BTP capability that enables developers and administrators to manage the full lifecycle of intelligent scenarios — including machine learning models and AI-based predictions — within SAP applications. According to the [official documentation](https://help.sap.com/docs/btp/sap-business-technology-platform/2217809cdb5842bf98211c61a8ef55ca?locale=en-US&state=PRODUCTION&version=Cloud), it provides tooling to govern how intelligent scenarios are deployed, activated, and maintained. Developers use it to operationalize AI scenarios such as sales order completion, service ticket classification, and recommendation models within the SAP ecosystem.
- Concept Inference Request The provided sources do not contain enough grounded information to write a reliable 2–4 sentence definition for an **undefined** concept. The sources reference various SAP AI tutorials and a Generative AI scenario management page, but no specific concept name or description is supplied to define. Please provide a valid concept name and relevant source snippets so an accurate definition can be written.
- Concept Machine Learning Model Deployment The concept name provided is "undefined," so no specific SAP developer concept can be accurately defined. Based on the available sources, the closest supported topic relates to deploying and undeploying machine learning models on SAP Business Technology Platform: once training has successfully completed for a model, it can be [deployed](https://help.sap.com/docs/btp/sap-business-technology-platform/d85117a56b094b309c56d99afa6bcab2?locale=en-US&state=PRODUCTION&version=Cloud) so that it is available for generating predictions. Developers can also manage the full lifecycle of such models using [Intelligent Scenario Lifecycle Management](https://help.sap.com/docs/btp/sap-business-technology-platform/2217809cdb5842bf98211c61a8ef55ca?locale=en-US&state=PRODUCTION&version=Cloud), which provides tooling to oversee intelligent scenarios from training through deployment.
- Concept ML Model Deployment and Activation The provided sources do not contain enough information to write a grounded definition for an "undefined" concept. Source S1 references configuring communication systems and arrangements in the context of [managing Gen AI scenarios](https://help.sap.com/docs/btp/sap-business-technology-platform/5fef7203b3294400988c2b1f4bd462a6?locale=en-US&state=PRODUCTION&version=Cloud), while the remaining sources describe machine learning tutorials, but no specific named concept is identified or defined across these snippets.