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  1. Home
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  3. Events
  4. Why Your AI Agents Arent Accurate June
11:00 AM - 11:45 AM UTC
23 June 2026
Virtual Event

Why Your AI Agents Aren’t Accurate — And How Ontology Fixes It

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Speaker(s):

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Kumar Kadam

Technical Architect at iLink Digital

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Sneha Rajashekhar

Senior Software Engineer at iLink Digital

Event Overview

Enterprise AI agents are only as effective as the knowledge they are grounded in. While vector search and Retrieval-Augmented Generation (RAG) can improve information access, they often fall short without a semantic layer that reflects how your business actually operates. The result? AI agents that hallucinate, miss business context, and struggle to scale beyond pilot initiatives.

Join iLink Digital for a practical, demo-driven session on building an Enterprise Knowledge Layer using iWeave, our ontology platform, alongside Microsoft Fabric IQ.

In this session, we’ll demonstrate how to design a domain ontology, operationalize it within Microsoft Fabric, and connect it to Foundry IQ and Work IQ experiences — enabling AI agents to reason over your enterprise knowledge, not just your documents.

You’ll see how ontology-driven architectures help enterprises move from disconnected data ecosystems to grounded, explainable, and context-aware AI agents that deliver measurable business outcomes.

Whether you’re evaluating your first AI agent initiative or looking to scale beyond proof-of-concept deployments, this session will provide a practical reference architecture and actionable next steps for enterprise adoption.

Description

See how iWeave and Microsoft Fabric IQ create a semantic knowledge foundation that enables enterprise AI agents to reason with business context. Includes live demos, reference architecture, and Q&A with iLink’s Data & AI team.

Key Takeaways

  • Why ontologies are the missing layer between enterprise data and AI agents
  • How iWeave operationalizes domain knowledge on Microsoft Fabric
  • The reference architecture connecting Fabric IQ, Foundry IQ, and Work IQ
  • A live demo: from raw Fabric data to a grounded, ontology-aware AI agent
  • How to approach your first 90 days: what to model first and what to defer
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