From the course: Agentic AI Fundamentals: Architectures, Frameworks, and Applications

What is agentic AI?

From the course: Agentic AI Fundamentals: Architectures, Frameworks, and Applications

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What is agentic AI?

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- Agentic AI has the potential to change the way we work and the way that we live. But when talking about ag Agentic AI, we want to start by talking about what exactly is an Agent. An Agent is a program designed to perform specific tasks autonomously. Agents make decisions based on predefined rules or learned patterns, interacting with other users or their environment to achieve their goals. To grasp its potential, imagine if you had a personal assistant to do your bidding all day long. They file your taxes, monitor weekly production numbers at work, order lunch, and even make reservations for that movie you want to see with your husband. The field of Agentic AI is predicated on several key areas that make this technology nothing short of revolutionary. For one thing, Agents operate independently when making decisions. They operate automatically allowing the system to divide and conquer complex workflows with the minimal human oversight. For example, if you have a security camera with Agentic AI features, it carries out functions on its own, like reaching out to its manufacturer to let them know that its storage is producing errors and it needs a firmware update. Or calling police if it determines a crime is occurring. all without human attention. Second, they're goal oriented. They are programmed to set their own goals and achieve them. Building on our camera example, the camera that is leveraging Agentic AI may have the ability to set the goal of fighting crime, and as a result, determine if a crime is occurring and report it. Then there is learning and evolution. We learn as humans and AI Agents learn and adapt the same way. Agentic AI can learn from interactions, adapt to new data, and continuously improve performance. It does this by way of machine learning, and we will talk more about machine learning in a separate video. But for now, what you should know is that Agentic AI identifies patterns such as trends. Then it learns from those patterns to adapt workflows and refine strategies. For example, an Agentic AI system can see whether a change in weather affects sales of a specific product or service, or an Agentic AI system can order more hardeners for a manufacturing process if the humidity is going to be high over the next week. Fourth, contextual understanding. These systems understand nuanced context. Agents can make informed decisions based on the context of a given scenario, enabling Agents to mimic human reasoning for execution. For example, an Agent might consider things like the weather, time of year market, or whatever considerations are relevant to a customer problem. Finally, what makes Agentic AI exceptional is multi-domain utility. AI Agents find and use applications and data across various domains and platforms. For example, these include customer service, healthcare, retail, manufacturing, and cybersecurity. And Agentic AI system adds value by creating personalized and proactive solutions that deal with each of these domains differently, and so more effectively. There you have it. These are the five main characteristics of Agentic AI. Collectively, these enable Agentic AI systems to transform your business.

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