SAP AI Core & AI Launchpad

SAP AI Core integrates seamlessly with other SAP solutions, offering powerful features for both custom integration and through a unified platform on SAP BTP.

• Integration with SAP systems for custom model training
  SAP AI Core smoothly integrates with SAP solutions, allowing you to easily use AI functions alongside open-source frameworks. Python logic triggers machine learning processes in SAP HANA Cloud or SAP Datasphere, and the Python-based SDK enables access to SAP AI Core using Python methods and data structures. It provides tools to manage your scenarios and workflows, simplifying the integration of SAP AI Core with both SAP and non-SAP systems. SAP HANA Cloud or SAP Datasphere can be used to train machine learning models, with SAP Datasphere aggregating data from structured and unstructured sources and applying pipelines to prepare datasets for ML training.
• Integration with non-SAP data
  SAP AI Core allows the use of non-SAP datasets in the machine learning training process, expanding its flexibility.
• AI model deployment and integration
  Serving templates in SAP AI Core are used to deploy one or more trained models on a model server, which processes incoming inference requests and returns results from the machine learning model. In SAP AI Core, serving templates are mapped as executables, which can be instantiated for purposes like training or deployment. Once deployed, a generative AI model can be accessed via a URL, allowing integration with both SAP and non-SAP systems across your organization to retrieve model results.

LeverX provides the expertise to ensure that your SAP AI Core is fully integrated into your existing SAP environment, enhancing the overall effectiveness of your AI initiatives.

SAP AI Core is built with enterprise-grade security features to ensure the protection of sensitive data and models:

• Data is encrypted both at rest and in transit, safeguarding it from unauthorized access.
• Role-based access control (RBAC) is implemented to limit access to only authorized users, ensuring that sensitive AI processes and data are secure.
• SAP AI Core complies with international security standards such as GDPR, HIPAA, and ISO/IEC 27001, ensuring that your data is handled in accordance with the highest regulatory requirements.
• Regular security audits and real-time monitoring help detect and respond to potential threats swiftly.
• Backup and restore capabilities are implemented and tested regularly.
• SAP AI Core supports tenant-specific Docker registries. Docker images cannot be accessed by other tenants and will not be accessed by SAP.
• Workloads can access network resources other than object stores by using credentials at runtime. For sensitive information SAP AI Core allows you to include secrets in the form of generic secrets.

LeverX can help you configure and maintain these security measures, ensuring that your enterprise applications built on SAP AI Core are secure and compliant.

Deploying machine learning models and integrating third-party AI tools with SAP AI Core involves the following steps:

1. Model development and integration: Use Python logic to trigger machine learning model development in SAP AI Core. Build your models using popular frameworks like TensorFlow, PyTorch, or scikit-learn, and seamlessly upload and manage them within SAP AI Core for streamlined integration and deployment.
2. Model deployment: Use SAP AI Core’s deployment tools to deploy models as RESTful APIs, which can then be integrated into business processes across your SAP landscape.
3. Third-party tool integration: SAP AI Core supports integration with third-party AI tools through open APIs, allowing you to leverage additional AI capabilities alongside SAP’s native tools.
4. Monitoring and scaling: After deployment, SAP AI Core provides tools for monitoring model performance and scaling resources as needed to ensure optimal operation.

Our team offers end-to-end support in deploying and integrating AI models, including assistance with third-party tool integration, ensuring that your AI solutions are robust and scalable.

The pricing for SAP AI Core is based on several factors:

• Subscription fees
• Compute costs
• Storage costs
• API usage
• The use of models in the generative AI hub is metered using GenAI tokens and capacity units.

LeverX specialists can help you understand and optimize these costs, ensuring that you choose the most cost-effective plan for your organization’s needs.