As a pandas core contributor and early Parquet adopter who built AI data pipelines at streaming company Tubi TV, Chang She saw firsthand why the traditional data stack breaks down for AI workloads—and founded LanceDB to fix it. Chang joined Ben Lorica to explain why vector databases are too narrow a solution for modern AI data needs, and what a true multimodal data infrastructure actually looks like. Chang and Ben get into why the Lance file format is quickly becoming the open source standard for multimodal data, how the rise of agents is exploding data infrastructure demands, why open-weight models are the enterprise cost shift to watch in the next 12 months, and more. "Trillion is the new billion," Chang says, and the enterprises that set up their data infrastructure now for that scale will be the ones that succeed.