Agentic AI and Embeddings: A Marketing Primer

This podcast explains agentic AI, which are intelligent systems that autonomously pursue goals, highlighting embeddings as a crucial enabling technology. Embeddings translate words and content into numerical vectors, allowing AI to grasp semantic relationships and understand meaning. These semantic vectors are stored in specialized databases to power various marketing applications like chatbots and personalized content. The document outlines how embeddings are created by different providers and considerations for choosing the right model. Ultimately, it emphasizes the significance of embeddings in bridging human language and AI understanding for smarter marketing strategies and agentic AI capabilities.