18 min
Duration
12
Lessons
Yes
Audio Narrated
What You'll Learn
AI agents powered by large language models are transforming enterprise operations — from autonomous procurement to intelligent supply chain planning to AI-driven customer service. But LLMs alone don't know your products, customers, or suppliers. This tutorial shows you how master data management provides the critical context layer that grounds AI agents in your enterprise reality, enabling accurate, governed, and auditable autonomous decisions.
Course Curriculum
12 lessons across 4 modules
The Context Problem
3 lessons
- 1 Why AI Agents Need Enterprise Context
- 2 The Hallucination Problem Without Master Data
- 3 Master Data as the Grounding Layer
Scenario: Agentic Commerce
3 lessons
- 4 Product Discovery with Semantic Master Data
- 5 Pricing, Availability & Compatibility Context
- 6 Autonomous Transaction Execution
Scenario: Supply Chain Planning
3 lessons
- 7 Location & Material Master for AI Planning
- 8 Supplier Context for Sourcing Agents
- 9 Demand Signals & Inventory Optimization
Scenario: Customer Service
3 lessons
- 10 Customer 360 as Agent Context
- 11 Product Knowledge & Warranty Data
- 12 Key Takeaways — Building the Context Layer
Prerequisites
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Basic understanding of AI/LLM concepts
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Familiarity with master data management fundamentals
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Interest in enterprise AI applications
Ready to Build the AI Context Layer?
Start this audio-narrated tutorial and learn how master data powers enterprise AI agents
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