Microsoft Fabric, Azure Data Factory and Azure Synapse are leading data platforms for data science and AI use cases. As privacy concerns about AI mount, data scientists increasingly need access to production-quality data that is free of sensitive details. In this session, join Brian Muskoff and a special guest from a large public healthcare company to learn how to safeguard sensitive information using data masking in your pipelines, protecting data privacy while maintaining data utility. Explore how data masking can be seamlessly integrated into your pipelines to keep data engineers and training models working, without costly delays or the fear of privacy violations or data compromises.