Search – talk-data.com

Title & Speakers	Event
Using Generative AI on Structured Data (to query or modify data) 2025-01-15 · 23:00 Please join us on January 15th, 2025 to listen to the topic: Using Generative AI on Structured Data (to query or modify data) with James Serra What \~ Toronto Data Professionals Community (Virtual) When \~ Wednesday, January 15th, 2025 Agenda: 6:00 PM Networking and Introduction 6:15 PM Topic: Using Generative AI on Structured Data (to query or modify data) with James Serra 7:30 PM End Where: Online via Microsoft team Session Details: 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. Speaker Bio: James works at Microsoft as a big data and data warehousing solution architect, where James has been for most of the last ten years. James 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. Previously, James was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. James is a prior SQL Server MVP with nearly 40 years of IT experience. James started a career as a software developer, then was a DBA for 12 years, and for the last twelve years, James has been working extensively with business intelligence and data warehousing using numerous Microsoft technologies and tools. James has been at times a permanent employee, consultant, contractor, and owner of a business. All these experiences, along with continuous learning, have helped James to develop many successful data warehouse and BI projects. James is a popular blogger and speaker, having presented at dozens of major events, including PASS Summit, SQLBits, Data Summit, SQLDay, Enterprise Data World Conference, Big Data Conference Europe, SQL Saturdays, and Informatica World. James is the author of the book “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh.” James has numerous Microsoft certifications and holds a Bachelor of Science degree in Computer Engineering from the University of Nevada-Las Vegas. More info can be found at James's LinkedIn.	Using Generative AI on Structured Data (to query or modify data)

Please join us on January 15th, 2025 to listen to the topic: Using Generative AI on Structured Data (to query or modify data) with James Serra

What \~ Toronto Data Professionals Community (Virtual) When \~ Wednesday, January 15th, 2025

Agenda:

6:00 PM Networking and Introduction
6:15 PM Topic: Using Generative AI on Structured Data (to query or modify data) with James Serra
7:30 PM End

Where: Online via Microsoft team

Session Details: 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.

Speaker Bio: James works at Microsoft as a big data and data warehousing solution architect, where James has been for most of the last ten years. James 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. Previously, James was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. James is a prior SQL Server MVP with nearly 40 years of IT experience. James started a career as a software developer, then was a DBA for 12 years, and for the last twelve years, James has been working extensively with business intelligence and data warehousing using numerous Microsoft technologies and tools. James has been at times a permanent employee, consultant, contractor, and owner of a business. All these experiences, along with continuous learning, have helped James to develop many successful data warehouse and BI projects. James is a popular blogger and speaker, having presented at dozens of major events, including PASS Summit, SQLBits, Data Summit, SQLDay, Enterprise Data World Conference, Big Data Conference Europe, SQL Saturdays, and Informatica World. James is the author of the book “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh.” James has numerous Microsoft certifications and holds a Bachelor of Science degree in Computer Engineering from the University of Nevada-Las Vegas. More info can be found at James's LinkedIn.

Activities & events