"To recap the basics, agentic AI goes a significant step further than generative AI, designed to autonomously handle complex decision-making and problem solving on behalf of a user. It has the capacity to understand high-level goals, make decisions under uncertain conditions, then plan actions and execute these to achieve specific goals, without the need for continuous human intervention. Agentic AI systems can also learn over time, based on feedback and new information, in order to self-correct."
"It's designed to be able to do whatever it needs to in order to complete a task and reach a goal, including jumping between different platforms and interacting with other systems, unlike conversational generative AI, such as ChatGPT. They can work unprompted once set up, making the tech ideal to automate processes and tasks which have no end, such as website optimisation or tracking social media to uncover trends in real time, for example."
Agentic AI is designed to autonomously handle complex decision-making and problem solving on behalf of a user. It understands high-level goals, makes decisions under uncertain conditions, plans actions, and executes them without continuous human intervention. Agentic systems can learn from feedback and new information to self-correct. These systems can jump between platforms and interact with other systems, operating unprompted once configured. Agentic AI is suited to automate ongoing processes such as website optimisation and real-time social media trend tracking. The advertising industry is actively adopting agentic AI as a step beyond conversational generative models.
Read at Exchangewire
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