- Webinar

Market Insights - From AIOps to AgentOps

With Fabrix's Agentic Data Federation

April 8th, 2026, 8.30a.m PST

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Join Speakers

Whit Walters
Field CTO & Category Lead
Shailesh Manjrekar
Chief Marketing Officer

Webinar Abstract

Enterprise IT operations are at an inflection point. Organizations rely on an average of 15–30 siloed monitoring and observability tools across IT, networking, and security - yet alert fatigue persists, CMDBs remain inaccurate, and mean time to resolution still exceeds four hours for many teams. The "last mile problem" of traditional AIOps - the inability to correlate events across domains and automate resolution without manual intervention - has created a widening gap between data volume and operational insight.

This webinar explores the architectural and strategic shift from fragmented, domain-specific observability to a unified agentic operations model. We'll examine how an Agentic Data Federation 1st approach - consolidating telemetry from 1,900+ sources into a semantic enrichment layer - gives AI agents the curated, contextualized data they need to reason, decide, and act autonomously. We'll walk through how enterprises are moving beyond reactive monitoring toward proactive and even preventive operations (Mean Time to Prevention), powered by multi-agent orchestration with enterprise-grade guardrails, governance, and explainability.

What you will learn:

  • Gigaom Radar reports for Cloud Observability and AIOps - the criteria why Fabrix.ai was selected as an Outperformer for Gigaom AIOps Radar and Challenger for Gigaom Cloud Observability
  • Why is there a need for a new data architecture for Agentic ?
  • What is Agentic Data Federation?
    • How is it different than Data Federation ( manual)
    • Why is the Ontology layer mandatory to build Reliable Agents
    • How you can bring AI agents to data, rather than data to AI agents
  • How Fabrix context engine eliminates the "agent in a vacuum" problem and reduces hallucination risk
    • How does Fabrix solve the “First Mile” and “Last Mile” problem for Agentic AIOps
    • The governance imperative: least privilege, least agency, and human-in-the-loop controls for production-grade agentic AI
  • Real-world examples of reducing MTTR by up to 85% and shifting IT spend from firefighting to innovation

GigaOm Recognitions

- Whitepaper

Agentic Data Federation: From ETL to ECL (Ontology)

How Ontology-Driven Context Engineering Powers Autonomous Enterprise Operations

Download Whitepaper