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Introduction to Building an AI-Ready Enterprise: Data, Governance, and Strategy

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Introduction to Building an AI-Ready Enterprise: Data, Governance, and Strategy

Overview

This beginner-friendly live session introduces the foundational concepts required to build an AI-ready enterprise. Designed for SAP newcomers and students, the session explains why successful AI transformation depends on trusted data, strong governance, clear ownership, and alignment with measurable business outcomes. Participants will learn how data quality, governance frameworks, enterprise strategy, and responsible execution help organizations move from AI experimentation to scalable value creation. The session combines high-level concepts with practical enterprise examples relevant to real business environments, including analytics, automation, decision support, customer experience, supply chain, finance, and operational improvement

Learning objectives

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

  • Understand why data quality, consistency, and trust are essential foundations for successful AI initiatives
  • Explain the purpose of AI governance frameworks, including accountability, ownership, transparency, risk management, compliance, and responsible use
  • Discover how to align AI initiatives with business objectives, measurable outcomes, and enterprise value creation
  • Explore practical strategies for building an AI-ready enterprise across people, processes, data, technology, and governance
  • Recognize common challenges that prevent AI programs from scaling, including poor data readiness, unclear business ownership, fragmented tools, and weak change management

Your current experience in this topic

Beginner

Intermediate

Advanced

Roles

SAP Rookie, Customer Success Manager, Consultant

Prerequisites

  • No prior AI, data governance, or SAP experience is required
  • Basic awareness of business processes, enterprise applications, or digital transformation is helpful but not mandatory
  • Recommended for learners who want to understand how organizations prepare their data, governance, and strategy before scaling AI initiatives
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