What is Agentic AI?
Agentic AI refers to artificial intelligence systems designed to autonomously pursue complex goals and workflows with minimal human intervention, resulting in a more autonomous and adaptable experience than traditional AI. Agentic AI refers to artificial intelligence systems capable of independent decision-making and goal-oriented actions. Unlike traditional AI models that follow predefined rules, agentic AI exhibits autonomy, adaptability, and the ability to learn from experiences. This glossary provides definitions and explanations of key terms related to agentic AI, including its core components, potential applications, and ethical implications. Understanding agentic AI is crucial for businesses and individuals navigating the evolving landscape of artificial intelligence.
- Autonomy: Agentic AI goes beyond automation, taking initiative to achieve goals without constant human direction. It proactively identifies and executes necessary actions.
- Strategic Reasoning: Agentic AI makes intelligent decisions in complex situations, analyzing context, weighing options, and formulating effective strategies to achieve objectives.
- Dynamic Adaptability: Agentic AI thrives in changing environments, adjusting plans and goals on the fly to respond to unforeseen circumstances.
- Natural Language Expertise: Agentic AI understands and interprets complex instructions in natural language, allowing it to tackle sophisticated tasks and collaborate seamlessly with humans.
- Workflow Automation: Agentic AI orchestrates workflows flawlessly, navigating between subtasks and applications with ease, optimizing processes for maximum efficiency and achieving the desired results.
