Azure Content Understanding leverages cutting‑edge models to analyze documents, images, audio and video, transforming raw, unstructured content into clean structured data. The rapid evolution of multimodal models, combined with the power and productivity of Azure Content Understanding, enables developers to build solutions that previously required teams of data scientists, months of experimentation, and highly specialized pipelines. Challenges that once felt impossible can now be solved in minutes.

In this demo‑intensive session, Alan will show how Azure Content Understanding can extract structured information from real‑world multi-media content. Photos of plates of food can be analyzed to itemize the ingredients, estimate calories, generate menu descriptions, and create recipes. Audio data from songs can be processed to create deep analysis of the lyrics, and videos of rooms can be used to generate itemized itineraries with estimated values. For each demo, Alan will start with raw files and finish with a fully functioning API that extracts insights that can be leveraged in real-world applications.

If you want to learn how to turn real‑world media into structured data using Azure’s newest AI capabilities, this session is for you.