Agentic AI refers to a type of AI designed to act on its own behalf, with a level of independence and decision-making power.

This kind of AI doesn’t just process data or respond to commands; instead, it can set goals and make decisions in pursuit of those goals,

often in a way that mimics human agency.

It’s like giving AI a sense of purpose and the ability to pursue that purpose with minimal human intervention.

This sets it apart from traditional AI, which typically requires human input or predefined rules for its operation.
Agentic AI is self-directing, meaning it can make decisions in real-time based on the environment and its objectives.

How agentic AI works

Agentic AI works through a combination of advanced machine-learning techniques, decision-making algorithms and continuous feedback loops.

Think of it like a robot that learns from experience and then uses that knowledge to influence its future actions.

It often works in the following way:

– Goal-setting: Agentic AI identifies objectives based on initial programming or ongoing environmental inputs.
It might be set to achieve a specific task, like optimizing a supply chain or improving user engagement.

– Decision-making: It then analyzes data and uses algorithms to decide the best course of action to reach its goal.

– Learning and adapting: Like all AI systems, agentic AI learns from its successes and failures.
It’s constantly adjusting its strategies and optimizing its decision-making processes.

KEEP READING…