Using Generative AI on Structured and Semi-structured Data

Generative AI, traditionally used for processing unstructured text, is rapidly advancing to handle structured data like relational databases, spreadsheets, and CSV files. New tools now enable AI to extract meaningful insights, identify patterns, and generate predictions from structured datasets. This presentation will explore how AI transforms our interaction with structured data, providing practical applications for enhanced automation, decision-making, and efficiency in data analysis. I will discuss ChatGPT, Copilot, and Microsoft Fabric AI Skill and provide a level-set on GenAI definitions, RAG, fine-tuning, and cover industry use cases for using both unstructured and structured data to make better business decisions

Understand how Generative AI analyzes structured data to improve automation and decision-making. Learn practical techniques using ChatGPT, Copilot, and Microsoft Fabric AI Skill. Gain real-world examples and use cases for applying GenAI, RAG, and fine-tuning to business data.