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The AI North Star Architecture and AI Golden Path: From Reference to Reality

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The AI North Star Architecture and AI Golden Path: From Reference to Reality

Overview

#AutonomousEnterpriseArchitect

Every architect navigating the Autonomous Enterprise asks the same question: what does the target architecture actually look like, and how do I get there from where I am today? This session answers both.
The AI-Native North Star Architecture defines how SAP envisions the convergence of AI, data, and applications across the full stack, the SAP Business AI Platform, Business Data Cloud, Joule as the unified engagement layer, autonomous domains, and Industry AI working together as a coherent system. It is not a theoretical diagram. It is the reference architecture that guides every decision from data layer design to agent orchestration patterns.

The AI Golden Path complements this with a guided journey from idea to production-ready application including detailed decision trees for when to use agents vs. deterministic applications vs. Knowledge Graph queries vs. HANA Vector Engine vs. agentic workflows vs. code-based agents. This session brings both to life with live demonstrations and worked examples, showing how these reference assets translate into real architectural decisions.

Learning objectives

After participating in this live session, you will be able to:

  • Understand the AI-Native North Star Architecture as the target state and how each layer (data, context, reasoning, engagement, governance) connects
  • Use the AI Golden Path decision framework to make consistent build-vs-buy and pattern-selection decisions across your organisation
  • See live demonstrations of how reference patterns translate into working implementations
  • Identify where your current landscape aligns with (and diverges from) the North Star - and prioritise your roadmap accordingly
  • Learn how to use these published assets from the SAP Architecture Center as alignment tools with your stakeholders and development teams

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Consultant, Architect
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