Chang She
Chang is the CEO/Co-founder of LanceDB and has been making data tooling for ML/AI for almost two decades.
One of the original co-authors of the pandas project, Chang started LanceDB to make it easy for AI teams to work with all of the data that doesn't fit neatly into all of those dataframes - from embeddings to images, from audio to video, at petabyte scale.
Session
This hands-on workshop focuses on what AI engineers do most often: making data AI-ready and turning it into production-useful applications. Together with dltHub and LanceDB, you’ll walk through an end-to-end workflow: collecting and preparing real-world data with best practices, managing it in LanceDB, and powering AI applications with search, filters, hybrid retrieval, and lightweight agents. By the end, you’ll know how to move from raw data to functional, production-ready AI setups without the usual friction. We will touch upon multi-modal data and going to production with this end-to-end use case.