In the realm of data-driven innovation, the agility to swiftly transform relational database information into actionable insights is pivotal. Tired of all the convoluted transformations and insecure methods of taking critical data from relational databases if you only need to use it temporarily in private LLM models for Generative AI projects? This presentation delves into a cutting-edge methodology that facilitates the extraction of data from relational databases in real-time, subsequently channeling this data to power Generative AI models within the Azure Fabric ecosystem. We will embark on a comprehensive exploration of the processes involved in extracting data instantaneously, underscoring the significance of data freshness and reliability in training robust AI models without leaving data vulnerable in this day of rampant data breaches.

Our discussion will extend to capabilities and limitations to cover the latest security challenges so you know what are the correct features and products to use to build your architecture right, not twice.

The presentation will highlight case studies and real-world applications, illustrating the transformative potential of this integration in various industry scenarios. By the end of this session, participants will be equipped with the knowledge and tools necessary to leverage instant data extracts from relational databases, driving forward the capabilities of Generative AI within their organizations.