This unit examines the technical and organizational foundations of agent-powered marketing, including the autonomous agent ecosystem, enterprise platform maturation, Sense-Reason-Act architecture, and multi-agent orchestration. Students will explore unified data foundations, market intelligence approaches, human transformation requirements, and apply these concepts to tier selection with a focus on customer service.
Learning Objectives
- Analyze the autonomous agent ecosystem and evaluate indicators of enterprise platform maturation, using case examples to justify platform selection decisions
- Demonstrate the Sense-Reason-Act architecture and map multi-agent orchestration to concrete marketing workflows, identifying roles, data flows, and failure points
- Apply principles for building a unified data foundation and compare two paths to market intelligence to propose a data strategy for an agent-powered marketing solution
- Evaluate human transformation requirements and perform tier selection beginning with customer service, producing an implementation plan that balances technical, operational, and governance factors
Curriculum
- 1 Section
- 12 Lessons
- 30 hours
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- Unit 2 — Agent Architecture and Data Foundations12
- 1.1The Autonomous Agent Ecosystem Landscape20 mins
- 1.2Why Enterprise Platforms Represent Agent Maturation20 mins
- 1.3The Sense-Reason-Act Architecture: How Autonomous Agents Work20 mins
- 1.4Multi-Agent Orchestration20 mins
- 1.5The Reltio Results: Proof of Concept at Scale20 mins
- 1.6Notes20 mins
- 1.7The Two Paths to Market Intelligence20 mins
- 1.8The Evolution from Einstein GPT to Agentforce20 mins
- 1.9Building the Unified Data Foundation20 mins
- 1.10Human Transformation Requirements20 mins
- 1.11Notes20 mins
- 1.12Tier Selection: Starting with Customer Service20 mins
Instructor
Free
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