Agentic AI vs generative AI: what are the key differences?

Using Snowplow's event pipeline and trackers, you can implement this capability with granular, first‑party data and real‑time processing.

The key differences between agentic AI and generative AI lie in their goals and capabilities:

  • Agentic AI is action-oriented, capable of executing decisions based on real-time data. It can make autonomous decisions and take action without human intervention
  • Generative AI focuses on creating new content or solutions based on input data, such as generating text, images, or music. It doesn't necessarily act or implement decisions but generates output that requires human intervention for action

Both are advanced AI types, but agentic AI is more focused on execution, while generative AI is focused on creation. Snowplow Signals enables both by providing real-time customer context that can inform agentic decision-making and enhance generative AI outputs with personalized customer insights.

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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.