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Beyond the Buzzwords: Key Differences — Generative AI, AI Agents, and Agentic AI

  • The article discusses the key differences between Generative AI, AI Agents, and Agentic AI in the context of the hospitality industry.
  • Generative AI focuses on creating new content based on prompts but lacks action implementation.
  • AI Agents bridge the gap between Generative AI and real-world tasks by completing specific missions efficiently.
  • Agentic AI takes it a step further by being a strategic thinker, understanding broader objectives, and proactively planning and adapting.
  • Examples are provided of how each level of AI would handle a guest's request for assistance during a trip.
  • The article suggests starting with Generative AI, then progressing to AI Agents, and finally piloting Agentic AI for innovation.
  • It emphasizes building AI systems with intention and focusing on long-term goals rather than just task completion.
  • Generative AI offers speed, AI Agents provide efficiency, and Agentic AI offers true intelligence and partnership in product experiences.
  • The article encourages product teams to move beyond task completion AI systems towards goal-oriented AI for a competitive edge.
  • Ultimately, to enhance product experiences significantly, aiming for Agentic AI is recommended.

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