The rise of machine learning (ML) has transformed how enterprises extract value from their data by enabling predictive analytics, intelligent automation, and deeper business insights. Within the SAP ecosystem, SAP Datasphere serves as a modern, cloud-native data management platform designed to unify data from diverse sources and prepare it for advanced analytics—including machine learning.
This article explores how organizations can integrate machine learning models with SAP Datasphere to unlock new intelligence and drive data-driven innovation.
SAP Datasphere consolidates and harmonizes enterprise data across cloud and on-premises systems, creating a reliable foundation for machine learning workflows. Integrating ML models directly with SAP Datasphere allows organizations to:
SAP AI Core is a scalable runtime environment for deploying and managing ML models, while SAP AI Launchpad provides a user-friendly interface for model lifecycle management. SAP Datasphere can connect to these tools to seamlessly invoke ML models during data transformation or consumption stages.
With SAP Datasphere’s dataflows and transformation pipelines, users can embed calls to ML models—whether deployed on SAP AI Core, SAP Analytics Cloud Predictive Services, or third-party platforms—allowing predictions to be integrated into processed datasets.
Organizations can expose ML models as RESTful APIs hosted on SAP BTP or other environments. SAP Datasphere can consume these APIs within dataflows or during runtime, facilitating integration without complex code.
SAP Data Intelligence complements SAP Datasphere by offering advanced ML orchestration and operationalization capabilities. Together, these tools create end-to-end pipelines from data ingestion to model deployment and monitoring.
Prepare Data in SAP Datasphere
Cleanse, enrich, and model data to create high-quality datasets suitable for training and inference.
Develop and Train ML Models
Use SAP AI Core, SAP Analytics Cloud, or other ML platforms to build predictive models based on datasets exported from SAP Datasphere.
Deploy Models for Inference
Host models on SAP AI Core, expose them via APIs, or use SAP Data Intelligence for deployment.
Invoke Models within SAP Datasphere
Embed model calls in dataflows or business semantic layers to apply predictions to live or batch data.
Monitor and Manage Models
Track model performance and update models regularly to maintain accuracy and relevance.
Integrating machine learning models with SAP Datasphere empowers organizations to harness the full potential of their data assets, combining robust data management with cutting-edge AI technologies. By leveraging SAP’s integrated ecosystem—including SAP AI Core, Data Intelligence, and Analytics Cloud—businesses can streamline the ML lifecycle, operationalize insights, and unlock new avenues of value.
For enterprises looking to drive innovation and competitive advantage, SAP Datasphere offers a scalable, secure, and flexible foundation for embedding machine learning into everyday data workflows.