Fawaz Ghali is a technologist specializing in AI, Data Engineering, Open Source, and Developer Relations. Passionate about community-driven innovation, he creates technical content, delivers talks, and engages with developer communities to drive the adoption of modern technologies in a rapidly evolving landscape.
With over two decades of experience and a PhD in Computer Science, Fawaz has published 45+ peer-reviewed papers and delivered 200+ talks worldwide. He is also the author of several books and reports and actively shares insights, empowering developers and data engineers through knowledge-sharing and collaboration.
This session explores how AI and data engineers can build end-to-end AI-driven applications using Large Language Models (LLMs), Streamlit, and Snowflake Cortex. Learn how to seamlessly integrate AI into data pipelines—automating workflows, generating real-time insights, and creating interactive tools that bring data to life.
We’ll walk through the entire process, from data ingestion and processing to model deployment and visualization, demonstrating best practices for building scalable, production-ready AI solutions. By the end, attendees will gain the skills to leverage Streamlit for intuitive AI interfaces and Snowflake Cortex for efficient model execution, enabling them to transform raw data into intelligent applications that drive real impact.
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