SAP Business Data Cloud, realized through SAP Datasphere and the SAP Business Technology Platform, is designed as a business data fabric. Its primary scenarios include:

1. Advanced data modeling and data warehousing (D): At its core, SAP Datasphere is a cloud data warehouse service for modeling and managing business data.

2. Machine learning and artificial intelligence (C): It provides a unified, business-ready data foundation with semantic context, which is essential for developing and running reliable AI and ML applications.

3. Out-of-the-box reporting (E): It integrates seamlessly with SAP Analytics Cloud and provides pre-packaged SAP Business Content, which includes data models and stories to accelerate the delivery of reporting and analytics.

A. Training large language models: SAP Business Data Cloud provides the curated, high-quality data for training models, but it is not the compute platform used to perform the resource-intensive training itself.

B. Risk management reporting: This is a specific example of a reporting use case, not a broad, foundational scenario. The platform's capability is general-purpose reporting and analytics, of which risk management is just one possible application.

1. Official SAP Documentation (SAP Datasphere): The SAP Help Portal for SAP Datasphere describes its core function as a service for data integration

data modeling

and data warehousing. The "Business Builder" and "Data Builder" are key components for advanced data modeling.

Source: SAP Help Portal

"What Is SAP Datasphere?"

Section: Key Areas and Personas.

2. Official SAP Documentation (Business Content): SAP documentation details the availability of pre-packaged "SAP Business Content" for SAP Datasphere and SAP Analytics Cloud

which provides ready-to-use data models

reports

and dashboards

directly supporting the "out-of-the-box reporting" scenario.

Source: SAP Help Portal

"Importing SAP Business Content"

SAP Datasphere Documentation.

3. Official SAP Strategy Publication (AI/ML): SAP's strategy for Business AI is explicitly built upon providing business context to data. SAP Datasphere is positioned as the foundation that delivers this context-rich data

making it a critical enabler for AI and ML scenarios.

Source: SAP Whitepaper

"SAP's Strategy for Business AI"

Section: The Importance of Business Context. (Reference to the concept of using BTP and Datasphere as the data foundation for AI).