Cloud-based data platforms, applied AI services, and open-source NLP models can be used together to extract information from business documents such as leases in file formats such as PDF and TIF. We highlight two Microsoft open-source projects, the Azure Feature Store (Feathr) and the SynapseML Spark library, and we employ a state-of-the-art Natural Language Processing model to perform Extractive Question Answering, allowing us to extract information simply by supplying a question such as “Who is the Landlord?” Via this illustrative example, attendees will gain an understanding of a powerful and broadly applicable set of tools for high-scale processing of unstructured data and online serving of ML-powered data products.