Gartner ThinkCast From Hype to Reality – What AI Agents Can (and Can’t) Do
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Feb 25, 2025 Discover the fascinating world of agentic AI and its growing role in decision-making. Learn how these AI agents interact empathetically, even helping users tackle tough personal challenges. The potential for autonomy in dynamic environments is explored, along with the collaboration of AI agents in achieving regulatory compliance. Misconceptions about AI capabilities are addressed, clarifying the distinction between agentic AI and traditional chatbots. This insightful discussion prepares listeners for the future of multi-agent systems.
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AI Agents Defined
- AI agents possess agency, enabling autonomous decisions within defined boundaries.
- They sense the environment, find solutions, and optimize problem-solving in digital or physical realms.
AI Agent for Smoking Cessation
- An AI agent designed to help people quit smoking guides users through conversations, offering encouragement and asking questions.
- This mimics a therapist's approach, building trust and gathering information for better support.
AI Agents Optimize Solutions
- AI agents can optimize solutions by assembling workflows based on available resources like APIs.
- This optimization process utilizes knowledge graphs and large action models to determine the best approach.