Overview: Information Management

This lecture covers the levels of abstraction in data classification, from knowledge graphs to unstructured data like text, images, and video. It explains how structured data captures relationships, and the tasks of model building, usage, and representation. The instructor discusses information management tasks, model usage for various tasks, and building new functions to interpret data. The lecture also delves into representing models as data, conceptual modeling, and the utility of information systems for decision-making.