What Is A Semantic Layer in AI?

Ask an AI "How are we doing against competitors?" and watch it fail.

The semantic layer is how your business actually works and without it, AI gives you plausible but wrong answers that sound great but miss the mark.
In this clarifying discussion, our panel demystifies the semantic layer and explains why it's more than just data, it's business knowledge, context rules, escalation thresholds, and departmental differences all codified for machines. You'll discover why building it reveals gaps in your business processes, how it prevents "plausible but wrong" LLM outputs, and why good old-fashioned consulting to define processes delivers value even before agents get deployed.

In this video, you'll learn:
✅ What the semantic layer actually is: Business knowledge, not just data
✅ The competitor example: Knowing context from conversation flow
✅ Why "revenue" means different things across departments
✅ Escalation rules: When issues go to Ben vs. Nicole based on thresholds
✅ The onboarding analogy: Training AI like you'd train a new hire
✅ Why defining the semantic layer reveals business process gaps
✅ The danger: Not garbage in/garbage out, but plausible and wrong out

Speakers:
Andy Sweet, VP Enterprise AI Solutions, AnswerRocket - https://www.linkedin.com/in/andrewdsweet/
Jim Johnson, President, AnswerRocket - https://www.linkedin.com/in/jim-johnson-bb82451/
Nicole Kosky, Senior Director of Services, AnswerRocket - https://www.linkedin.com/in/nicole-kosky-5b9a3b6/
Ben Titmus, Senior Director, Practice Leader - AI Data, Platforms and Infrastructure - https://www.linkedin.com/in/Ben-titmus-a2817626/

Chapters:
00:00 Defining the Semantic Layer: Business Knowledge for Machines
01:51 The New Hire Analogy: Onboarding AI With Context
02:31 Is It One-Time or Forever? How to Get Started
03:15 The Real Risk: Plausible But Wrong Answers That Sound Great

Does your organization have a semantic layer defined? Or is AI guessing what you mean?

#SemanticLayer #BusinessContext #AIKnowledge #ContextEngineering #AIArchitecture #DataGovernance #aiimplementation
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AI, Actually

Tired of the AI hype? So are we. Welcome to AI, Actually: the podcast that cuts through the noise and gets real about how artificial intelligence can work for your business. In each episode, our resident AI and business transformation experts–along with occasional industry guests–hold a candid, jargon-free conversation on what it takes to get actual value from AI.

Join us as we tackle topics like: the real difference between the latest LLM models, why generic AI can't make sense of your messy company data, how to get your GenAI use case off the ground, and what the rise of AI agents means for your business. This is your practical playbook for putting AI to work. No PhD required.

AI, Actually is produced by AnswerRocket. Since 2013, our enterprise AI solutions have helped Fortune 500 companies achieve measurable results through their AI transformations. This podcast is where we share what we’ve learned.
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Видео What Is A Semantic Layer in AI? канала AnswerRocket