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Danielle Casey
Sr Director Analyst
Gartner
Speaker Topics
- AI Investments That Create Value
- Agentic AI Innovation
- Economics of AI
- Innovating Products and Services with New Tech
Speaker Bio
Danielle Casey is a Director Analyst in Gartner's Technology and Service Provider research practice. In this role, Ms. Casey conducts case-based research on emerging technologies, such as agentic AI, generative AI, conversational AI, virtual assistants and AI Avatars, for Gartner's Emerging Technologies and Trends, Innovation and Futures team. Through this research, Ms. Casey identifies emerging capabilities, use cases, new market issues and provides insights on emerging trends to technology provider product leaders.
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Sessions
Monday, March 08, 2027 10:30 AM - 11:00 AM CST
Cross-Modal Domain Models (DxMs), not LLMs, Will Dominate the Future of Enterprise AI
Danielle Casey,
Sr Director Analyst, Gartner
Billions of dollars are being poured into the AI model market, promising massive breakthroughs in world understanding, agent expertise and wicked intelligence. Every product leader must understand the game changing innovations predicted for the next 5 years, how these capabilities will impact AI products, and what to do about it.
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Tuesday, March 09, 2027 11:45 AM - 12:30 PM CST
Roundtable: Navigating the Future of Agentic Orchestration
Danielle Casey,
Sr Director Analyst, Gartner
Radu Miclaus,
VP Analyst, Gartner
This roundtable brings together chief product officers (CPOs) and technology product leaders to explore the security transformation required in the era of agentic AI. As enterprises move from human-orchestrated tools to fleets of autonomous AI agents, traditional security approaches face unprecedented challenges.
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Tuesday, March 09, 2027 01:45 PM - 03:15 PM CST
Workshop: Prioritize the Right Investment in the Agentic Stack and Use-Cases for Agentic AI Market Growth
Danielle Casey,
Sr Director Analyst, Gartner
Radu Miclaus,
VP Analyst, Gartner
AI market leaders developed technology capabilities that aligned to key use cases to unlock transformational value. Most vendors have failed to do this exercise, undercutting their ability to deliver business outcomes. To lead in the AI race, every product leader must perform this exercise to ensure their technology investments are differentiating their use case priorities.
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