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8 docs tagged with "AI-Golden Path"

The AI Golden Path represents the recommended approach or best practices for implementing AI solutions within SAP's technology landscape. It provides guidance on how to achieve the AI-Native North Star Architecture, ensuring consistency, efficiency, and alignment with strategic objectives.

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Build AI Agents on SAP BTP

Build, integrate and orchestrate AI agents on SAP BTP using Joule Studio, SAP Cloud SDK for AI, A2A and MCP protocols.

Classic ML Scenarios

Build, deploy and run machine learning use cases on SAP BTP using RPT-1, HANA Cloud PAL/APL and SAP AI Core.

Document AI

Build, deploy and run document processing solutions using SAP Document AI on SAP BTP.

GenAI Applications

Build, deploy and run LLM and GenAI applications on SAP BTP using SAP AI Core, Generative AI Hub and CAP.

Joule Skills

Build, deploy and run custom Joule Skills using Joule Studio on SAP BTP for extending SAP Joule capabilities.

Predictive & Tabular AI

Build, deploy and run tabular prediction use cases with SAP-RPT-1, SAP's foundation model for relational business data.

SAP AI Golden Path

The SAP AI Golden Path is the starting point for developing AI applications across the SAP ecosystem. It contains recommendations, best practices, and tutorials to help you understand the AI technology stack, identify suitable tools and services, and design, deliver, and extend enterprise-grade AI solutions on SAP technology.

Technology Decision Tree for AI

A structured decision framework for selecting the right AI approach on SAP BTP, covering relational foundation models, classic ML, LLMs and AI agents.