In this technical presentation, we delve into the cutting-edge integration of Large Language Models (LLMs) like GPT with innovative "Diagram as Code" tools to change the creation process of software and cloud architecture diagrams. This approach empowers data and AI architecture practitioners to articulate complex structures and relationships in natural language, enabling a seamless transition from textual specifications to visually comprehensive representations.

The session highlights the potential to expedite the architectural design phase, minimize misinterpretations, and streamline communication, ultimately accelerating the development of robust and scalable data and AI solutions. Join us on a journey to redefine the boundaries of architecture documentation and visualization, as we unveil a transformative approach to building and communicating complex systems in the era of intelligent diagramming.

Presented By: Warner Chaves Warner is a Microsoft MVP and Solutions Architect at Pythian. With over 18 years of experience in the industry, maintaining, designing and building data systems across clouds and industry verticals.