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Navigating the world of AI can be tricky, especially with the rise of terms like 'Agentic AI' and 'AI Agents.' While many people often use these terms interchangeably, they represent distinct technologies that serve different purposes. AI Agents are tools designed to perform specific tasks within IT systems, aimed at producing predictable outcomes. In contrast, Agentic AI is an emerging concept that leverages multiple agents to autonomously set goals, learn, and draw inferences—essentially creating a self-sufficient system. As experts like Numa Damani from iVerify point out, while some companies are experimenting with prototypes of Agentic AI, achieving true autonomy will require advanced capabilities and long-term memory that are still in development. Understanding these differences is key for businesses looking to harness AI effectively! #AI #TechTrends #Innovation #MachineLearning #FutureOfWork
Navigating the world of AI can be tricky, especially with the rise of terms like 'Agentic AI' and 'AI Agents.' While many people often use these terms interchangeably, they represent distinct technologies that serve different purposes. AI Agents are tools designed to perform specific tasks within IT systems, aimed at producing predictable outcomes. In contrast, Agentic AI is an emerging concept that leverages multiple agents to autonomously set goals, learn, and draw inferences—essentially creating a self-sufficient system. As experts like Numa Damani from iVerify point out, while some companies are experimenting with prototypes of Agentic AI, achieving true autonomy will require advanced capabilities and long-term memory that are still in development. Understanding these differences is key for businesses looking to harness AI effectively! #AI #TechTrends #Innovation #MachineLearning #FutureOfWork
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에이전틱 AI와 AI 에이전트, 무엇이 다른가
에이전틱 AI는 아직 초기 단계이지만, 많은 기업이 AI 에이전트를 빠르게 도입하고 있다. 여기에는 두 기술의 차이에 대한 혼란이 발생하고 있다. 많은 사람이 ‘에이전틱 AI’와 ‘AI 에이전트’라는 용어를 같은 의미로 사용해왔지만, 이 둘이 별개의 기술이자 상호 연관된 도구라는 인식이 점차 확산되고 있다. 전문가들은 CIO가 적합한 기술을 올바른 목적에 맞게 사용하기 위해서는 이 둘의 차이를 이해
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