What is agentic AI, and how does it differ from traditional AI or automation?

Agentic AI refers to AI systems that can autonomously set goals, make decisions, and take actions to achieve objectives with minimal human intervention. Unlike traditional AI, which provides insights or recommendations for human decision-making, agentic AI systems can execute decisions and interact with external systems independently.

For example, agentic AI can control automated processes, initiate customer service interactions, or update systems autonomously. It differs from traditional AI by having dynamic, action-oriented capabilities rather than just analytical ones.

Using Snowplow's event pipeline and trackers, you can implement this capability with granular, first‑party data and real‑time processing. In addition, Snowplow Signals provides real-time customer intelligence specifically designed for AI-powered applications, delivering the contextual data agentic AI systems needed to make informed decisions.

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