In this session, we will discuss how to identify high stakes data, and share different ways of refining high-stakes unstructured data into meaningful, actionable data, and leverage the AI, LLMs to detect churn, high quality leads, and map a user's message to a user's journey and fill in the blanks.

In this session, I will discuss the unstructured data and the world of vector databases, we will see how they different from traditional databases. In which cases you need one and in which you probably don’t. I will also go over Similarity Search, where do you get vectors from and an example of a Vector Database Architecture. Wrapping up with an overview of Milvus.