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Dave Aron
Distinguished VP Analyst
Gartner
Speaker Topics
- AI Operationalization and Governance
- Culture and Change Management
- Cybersecurity and Enterprise Resilience
- Operating Models
- Innovation
Speaker Bio
Dave Aron is a Vice President Distinguished Analyst and Gartner Fellow. He is a thought leader on digital business strategy and helping Boards and CxOs understand and engage with advanced business and technology topics such as the future of AI, opportunities and risks of generative AI, the rise of disinformation and the World Without Truth, antifragility and simplification.
He has received Gartner's Analyst of the Year award, was voted one of the 50 most influential people in U.K. He has taught business and IT topics at a number of business schools, including London Business School, Oxford University's Said Business School and Henley Business School, and has written two books, including "The Essence of Strategy."
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He has received Gartner's Analyst of the Year award, was voted one of the 50 most influential people in U.K. He has taught business and IT topics at a number of business schools, including London Business School, Oxford University's Said Business School and Henley Business School, and has written two books, including "The Essence of Strategy."
Sessions
Tuesday, 17 November, 2026 11:00 AM - 11:30 AM IST
The New CIOs Opportunity: Becoming Disinformation Leader in Their Enterprise
Dave Aron,
Distinguished VP Analyst, Gartner
The deluge of disinformation is already here and getting more challenging and common every day. Most enterprises are aware, but almost none are ready for it. They don't have clear, strong leadership of disinformation security. The CIO has a great opportunity to take the lead.
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Wednesday, 18 November, 2026 12:00 PM - 12:30 PM IST
Agentic AI Governance: Stop, Start, Continue
Dave Aron,
Distinguished VP Analyst, Gartner
Examine the agentic-AI-specific governance and risk mitigation strategies. Stop lengthy processes and long-term thinking. Start establishing clear definitions for both AI agents and human roles, setting measurable goals, implementing real-time monitoring and creating codes of conduct for agents. Create guidance on delivering deterministic outcomes from probabilistic systems. Continue extending and evolving agentic AI governance to meet dynamic and autonomous nature of multiagent systems.
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