AI Innovation with FedML-Amazon and Sagemaker - General SAP Guides
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AI Innovation with FedML-Amazon and Sagemaker

In today’s data-driven enterprises, machine learning models are only as powerful as the data they can access. However, business-critical data often resides within SAP systems like SAP BDC, while advanced model development typically takes place in cloud-native platforms like Amazon Sagemaker.

FedML-Amazon for Amazon Sagemaker bridges this gap by providing a secure, efficient, and unified framework for federated model training and deployment across SAP and Amazon ecosystems. By eliminating data duplication and enabling real-time access to SAP data, FedML-Amazon helps accelerate AI initiatives, ensure data governance, and reduce operational complexity, all while leveraging the scalability and performance of Amazon and the business context of SAP. With minimal setup, FedML-Amazon enables data discovery, model training, and deployment across both SAP and Amazon environments to extract value from data.

FedML and Amazon Sagemaker

FedML, a Python library, is directly imported into Amazon Sagemaker notebook instances. When most training data resides in Amazon, but critical SAP data with business semantics is also needed for training, it securely connects to SAP Datasphere (part of BDC) via Python/SQLDBC connectivity, enabling federated access to SAP business data required for model training in Sagemaker.

For more technical details on methods that enable the training data to be read from SAP Datasphere (part of BDC) and trained using Machine Learning model on Amazon Sagemaker, visit FedML-Amazon. You can find out more from SAP Architecture Center under Integration with FedML-Amazon for Amazon Sagemaker.

By combining the strengths of SAP Business Data Cloud (BDC) and Amazon services, organizations can unlock the full potential of their enterprise data. From operational systems to advanced AI and analytics, whether harmonizing datasets across Amazon S3, Redshift, and Athena or enabling federated model training with FedML-Amazon and Amazon Sagemaker, these architectures provide a scalable and secure foundation for innovation. Together, SAP and Amazon empower businesses to move from data silos to data-driven intelligence, accelerating time to insight, optimizing decision-making, and driving measurable business value across the enterprise.