Abstract: In a data-driven world where information is growing exponentially, the ability to effectively search and make sense of unstructured data is crucial.
Vector Search is a method of information retrieval in which unstructured data is represented as vectors, and Machine Learning models allow a meaningful vector representation of the data.
In this talk, we delve into the world of AI-powered search, covering topics including Natural Language Processing (NLP), Large Language Models (LLM), Semantic Search and Image Similarity Search.
By the end of this talk, you will not only recognize the importance of working with unstructured data but also learn how to effectively utilize Machine Learning models and retrieval methods to take advantage of it.
Bio: Priscilla's interest in Information Technology began during her childhood when she received her first certificate in the field. Since then, she has never stopped learning and has worked in a variety of user-facing roles, including project management, solutions architecture, and developer relations. Throughout her career, Priscilla has collaborated closely with diverse organizations across various industries and regions, has co-authored a book and presented at both technical and business conferences. Today, she represents Elastic in the Americas, engaging with developers, understanding their needs, and planning and managing content and programs to enhance their experience.