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




