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Data Foundations for an Autonomous Enterprise: From Fragmented Systems to Trusted Context

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Data Foundations for an Autonomous Enterprise: From Fragmented Systems to Trusted Context

Overview

The difference between isolated AI pilots and sustainable AI at scale lies in the foundational data architecture that supports data quality, governance, platforms, and operating models. Without trusted, connected, contextual data agents hallucinate, predictions fail, and governance becomes impossible.

This session covers how SAP brings data and AI together to drive decision-making across enterprises. We discuss what data-driven organisations actually look like in an AI-native world with a deep dive into everything new with SAP Business Data Cloud including zero-copy data extraction, delta share protocol, BW modernisation, and the evolving role of the Data Architect in an autonomous landscape.

Learning objectives

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

  • Understand why Data Context is the foundational layer of the Context System and what "trusted data" means in an agentic world where agents act on what they find
  • Learn the architecture of SAP Business Data Cloud, BDC Connect, including zero-copy patterns that avoid unnecessary data movement
  • Understand the evolving role of the Data Architect: from ETL designer to context curator for AI agents

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Roles

Data Analyst, Consultant, Architect
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