Trend
Agentic AI represents a transformative shift from reactive to proactive artificial intelligence. These advanced systems possess autonomy, proactivity, and the capacity to operate independently. Unlike traditional AI, which primarily reacts to user inputs and follows set programming, agentic AI is designed to understand its environment, set goals, and take actions to achieve those objectives without direct human oversight.
The implications for various industries are significant. In environmental monitoring, for instance, an AI agent can be trained to collect data, analyze patterns, and initiate preventive measures in response to potential hazards, such as early indicators of a forest fire. In finance, an AI agent can actively manage investment portfolios by employing adaptive strategies that respond in real time to shifting market conditions.