Experience the difference. Meet your peers, talk with analysts, build your network and turn insights into action.
Georgia O'Callaghan
Director Analyst
Gartner
Speaker Topics
- Agentic Analytics and AI
- Trends and Futures
- Data Quality and Governance
- Overall Data and Analytics Strategy
Speaker Bio
I am a Director Analyst with the Analytics & AI team, lead by Mark Cortner, specializing in analytics and business intelligence (ABI). I cover ABI tool selection, tool rationalization and migration, analytics architectures, semantic layers, data literacy, self-service enablement and governance, etc.
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Sessions
Tuesday, 16 June, 2026 09:00 AM - 09:45 AM AEST
Gartner Opening Keynote: Navigate AI on Your Data & Analytics Journey to Value
Jorg Heizenberg,
VP Analyst, Gartner
Georgia O'Callaghan,
Director Analyst, Gartner
AI is accelerating new possibilities for data and analytics everywhere. Success isn’t always about being the fastest, but about finding your own path to value, while managing risk and cost. Join our Gartner’s Opening Keynote to discover how a thoughtful approach to speed and direction helps you prepare for what’s next, no matter where you are today.
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Wednesday, 17 June, 2026 01:45 PM - 02:30 PM AEST
Ask the Analyst: Should We Move to Microsoft Fabric for Analytics?
Georgia O'Callaghan,
Director Analyst, Gartner
Over 70% of organizations have Microsoft Power BI in their analytics landscape. As Microsoft Fabric redefines analytics within Azure’s offerings, data and analytics leaders face a pivotal decision: continue with Power BI or embrace Fabric’s unified, AI-driven platform. This session cuts through the hype and addresses the critical questions organizations must ask when considering a migration to Microsoft Fabric.
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Wednesday, 17 June, 2026 03:30 PM - 04:00 PM AEST
How to Govern Self-Service Analytics
Georgia O'Callaghan,
Director Analyst, Gartner
CDAOs implement SSA to enable data-driven decision making across their organizations. However, SSA initiatives often fail to deliver on their full potential due to governance, trust, scalability and adoption challenges. This presentation provides a framework for CDAOs to balance control and agility within SSA to drive meaningful business value from data.
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