Managing the Risks and Opportunities of Agentic AI
Business leaders need the right approach and a highly innovative mindset to succeed with AI implementations.
Agentic AI will take GenAI a stage further, automating even more complex processing tasks by drawing on multiple agents to autonomously learn and adapt, giving rapid automated decisions.
Unlike traditional reinforcement learning, Agentic AI can bypass much of the extensive learning phase due to its inherent reasoning capabilities, leveraging Large Language Models (LLMs) as powerful reasoning engines.
It can act within an environment, receive feedback, and strengthen its decisions and effectiveness through trial and error, sending commands to existing tools via APIs.
Agentic AI will now take GenAI a stage further – to automate even more complex processing tasks.
Author's summary: Agentic AI automates complex tasks.