Managing the Risks and Opportunities of Agentic AI
Business leaders need the right approach and a highly innovative mindset to succeed with AI implementations.
Now that GenAI has revolutionized the way we create content, Agentic AI will take GenAI a stage further – to automate even more complex processing tasks.
Starting from a more advanced perspective, Agentic AI powerfully draws on multiple agents to autonomously learn and adapt to give rapid automated decisions.
Unlike traditional reinforcement learning, which starts from scratch without prior knowledge or reasoning, Agentic AI can bypass much of the extensive learning phase due to its inherent reasoning capabilities.
Agentic AI leverages Large Language Models (LLMs) as powerful reasoning engines that can send commands to existing tools via APIs, which enables it to perform actions and learn through trial and error.
It can act within an environment and receive feedback to strengthen its decisions and effectiveness.
Business leaders need the right approach and a highly innovative mindset to succeed with AI implementations
Author summary: Agentic AI automates complex tasks.