Why Canonical Knowledge Is the Foundation for Enterprise AI ft Joe DosSantos, VP at Workday
Invisible Machines podcast by UX MagazineShow Notes
Before enterprises can deploy AI agents that actually work, they need something most organizations don't have: a single, authoritative source of truth. Joe DosSantos, Workday’s VP of Enterprise Data and Analytics, joins Robb and Josh for a wide-ranging conversation about canonical knowledge, the semantic layer, and why data governance, a concept from the 1990s, has suddenly become essential for AI deployment.
Large language models are predictive engines modeled to anticipate what users probably likely mean. For B2C applications where multiple interpretations are acceptable, this works fine. But enterprises need deterministic truth, not probabilistic guesses. The trio outline a solution in three layers: establishing canonical knowledge, building a semantic layer to translate between human definitions and machine-readable formats like YAML, and using LLMs as an interface to deterministic back-end systems.
For leaders evaluating AI investments, this episode clarifies what actually needs to be built before agents can deliver value: not flashy use cases, but the unglamorous, essential work of data governance and semantic translation.
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Chapters - 0:00 – Welcome to Invisible Machines 1:28 – Why AI Agents Fail Without a Source of Truth 2:34 – Canonical Knowledge Is More Than Feeding Data to an LLM 3:16 – LLMs Are Good at Language, Not Truth 4:16 – The Convergence of Governance and Generative AI 5:48 – Implicit vs Explicit Knowledge Explained 7:31 – Why Accuracy Breaks Down in AI 8:37 – The Real Launchpad for AI: Get the Facts Right 9:42 – Alignment, Not Intelligence, Is the Hard Problem 10:53 – Semantic Layers: Teaching Machines Meaning 12:38 – LLMs Are Interfaces, Not Systems 14:26 – Routing Questions: Inference vs Deterministic Answers 16:21 – Canonical Knowledge Requires Human Ownership 18:16 – There Is No ROI for Data (It’s the Foundation) 23:59 – From Use Cases to Systems Thinking
Episode Credits: Robb Wilson - Host Josh Tyson - Host Elias Parker - Executive Producer Vishal Menon - Producer Maksym Zlydar - Audio/Video Editor Mykhailo Lytvynov - Audio/Video Editor Eugen Petruk - Graphic Design Alla Slesarenko - Copy Vira Prykhodko - Web Development
#InvisibleMachines #Podcast #TechPodcast #AIPodcast #AI #AgenticAI #AIAgents #DigitalTransformation #AIReadiness #AIDeployment #AISoftware #AITransformation #AIAdoption #AIProjects #EnterpriseAI #CanonicalKnowledge #DataGovernance #SourceOfTruth #AIArchitecture #DeterministicAI
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