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Agentic artificial intelligence (AI) represents a critical inflection point in the evolution of intelligent systems—shifting from passive tools to autonomous, adaptive entities capable of pursuing goals with minimal human oversight. Unlike traditional AI, which operates within predefined rules or static data inputs, Agentic AI systems are designed to reason, learn, and act independently, adjusting to their environment and refining their strategies over time.

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Case Studies: Agentic AI in Real-World Applications

  • 章节

  • 发表日期：

    2025年

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  • Sumit Ranjan,
  • Divya Chembachere,
  • Lanwin Lobo

摘要

Agentic artificial intelligence (AI) represents a critical inflection point in the evolution of intelligent systems—shifting from passive tools to autonomous, adaptive entities capable of pursuing goals with minimal human oversight. Unlike traditional AI, which operates within predefined rules or static data inputs, Agentic AI systems are designed to reason, learn, and act independently, adjusting to their environment and refining their strategies over time.