Using Generative AI on Structured Data

NOTE THAT THIS IS AN ONLINE MS TEAMS EVENT

Delivery: Online
Level: Beginner/Intermediate
Food: Pizza and drinks will NOT be provided

Agenda:
18:30-19:00 Organizer time (news, sponsor marketing)
19:00-20:15 Main presentation
20:15-20:30 Q&A

Overview: 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 Data Agents 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.

Speaker: James works at Microsoft as a data solution engineer where he has been for most of the last twelve years. He is a thought leader in the use and application of Big Data and advanced analytics, including data architectures such as the modern data warehouse, data lakehouse, data fabric, and data mesh. He has over 40 years of IT experience. He is a popular blogger ([JamesSerra.com](https://www.jamesserra.com/)) and speaker, having presented at dozens of major events. He is the author of the book “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh”.