Agentic AI Frameworks in 2025 | Plivo Guide Agentic AI frameworks rely on interconnected components to enable autonomous decision-making, action, and learning These modules work together to process inputs, analyze data, execute tasks, and adapt without constant oversight Here’s a closer look
Agentic AI: A Self-Study Roadmap - KDnuggets Part 1: Understanding Agentic AI What Makes AI "Agentic" Traditional AI systems excel at pattern recognition and response generation—they analyze inputs and produce outputs based on learned patterns Agentic AI systems add goal-oriented behavior, autonomous decision-making, and the ability to take actions in pursuit of objectives
Seizing the agentic AI advantage - McKinsey Company A new AI architecture paradigm—the agentic AI mesh—is required to orchestrate value in the agentic era To scale agents, companies will need to overcome a threefold challenge: handling the newfound risks that AI agents bring, blending custom and off-the-shelf agentic systems, and staying agile amid fast-evolving tech (while avoiding lock-ins)
What Is Agentic AI, and How Will It Change Work? Recent advances in agentic AI bring that autonomous future a step closer to reality With their supercharged reasoning and execution capabilities, agentic AI systems promise to transform many
Agentic AI - Wikipedia The core concept of agentic AI is the use of AI agents to perform automated tasks but without human intervention [1] While robotic process automation (RPA) and AI agents can be programmed to automate specific tasks or support rule-based decisions, the rules are usually fixed [ 2 ]
What Is Agentic AI? - NVIDIA Blog Agentic AI uses sophisticated reasoning and iterative planning to solve complex, multi-step problems How Does Agentic AI Work? Agentic AI uses a four-step process for problem-solving: Perceive: AI agents gather and process data from various sources, such as sensors, databases and digital interfaces This involves extracting meaningful features
What Is Agentic AI? - IBM Agentic AI is an artificial intelligence system that can accomplish a specific goal with limited supervision It consists of ai agents—machine learning models that mimic human decision-making to solve problems in real time