Semantic Layers: The Missing Foundation for Agentic AI in Enterprise
Agentic AI can be technically correct and business-wrong. Agents need business meaning, not just access to more tools and data. In "Semantic Layers: The Missing Foundation for Agentic AI in Enterprise", Sajitha Sritharan shows why semantic layers, knowledge graphs, and governance are the foundation agents need before they can answer business questions reliably.
Session details
Your company is deploying agentic AI. Exciting. Then your AI agents make technically correct but business-wrong decisions. Why? Because raw data isn't enough. AI agents need semantic understanding—structured knowledge about entities, relationships, and business rules. A semantic layer is the bridge. It transforms your data platform from a static repository into an AI-ready knowledge base where agents can reason, understand context, and explain decisions. In this case study, we'll share real implementation patterns using knowledge graphs, ontologies, and metadata standards to enable agentic AI across your organization. You'll learn architecture patterns, governance practices that scale without blocking teams, and ROI metrics that justify the investment. Leave with a diagnostic framework to assess your organization's AI readiness, a 3-month roadmap to build semantic architecture, and confidence that your AI agents will make smart decisions grounded in business context.
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Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Artificial Intelligence and Machine Learning
- Level
- Intermediate
- Time
- Oct 30, 2026, 10:00 AM
- Room
- Room B
- Duration
- 60 min
Speakers
Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.
Sajitha Sritharan
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LinkedIn
Session LinkedIn Post
Agentic AI can be technically correct and business-wrong. Agents need business meaning, not just access to more tools and data. In "Semantic Layers: The Missing Foundation for Agentic AI in Enterprise", Sajitha Sritharan shows why semantic layers, knowledge graphs, and governance are the foundation agents need before they can answer business questions reliably. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/semantic-layers-the-missing-foundation-for-agentic-ai-in-enterprise/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-semantic-layers-the-missing-foundation-for-agentic-ai-in-enterprise #MITechCon #SemanticLayer #AIAgents #DataGovernance
Short social
Short Session Post
Agentic AI can be technically correct and business-wrong. Learn how semantic layers, knowledge graphs, and governance give agents real business context. https://www.mitechcon.net/sessions/semantic-layers-the-missing-foundation-for-agentic-ai-in-enterprise/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-semantic-layers-the-missing-foundation-for-agentic-ai-in-enterprise #MITechCon #SemanticLayer
Newsletter / email
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "Semantic Layers: The Missing Foundation for Agentic AI in Enterprise". Agentic AI can be technically correct and business-wrong. Agents need business meaning, not just access to more tools and data. In "Semantic Layers: The Missing Foundation for Agentic AI in Enterprise", Sajitha Sritharan shows why semantic layers, knowledge graphs, and governance are the foundation agents need before they can answer business questions reliably. Format: Conference Session. Topic: Artificial Intelligence and Machine Learning. Level: Intermediate. Scheduled for Oct 30, 2026, 10:00 AM in Room B. Learn more and share the session: https://www.mitechcon.net/sessions/semantic-layers-the-missing-foundation-for-agentic-ai-in-enterprise/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-semantic-layers-the-missing-foundation-for-agentic-ai-in-enterprise