In today's data-driven world, the need for advanced data analysis is more critical than ever, especially when working with relational databases like SQL Server or PostgreSQL. Traditional SQL queries often fall short in performing complex tasks such as sentiment analysis and named entity recognition. However, with Azure's SQL platform, you can seamlessly integrate any supported large language models (LLMs) to leverage natural language processing (NLP) capabilities and overcome these limitations.

Join this session to discover how Azure Database for PostgreSQL empowers you to build AI-powered applications that can perform sophisticated NLP tasks directly within your database. We'll delve into the powerful features of Azure Database for PostgreSQL, including generative AI for sentiment analysis, language detection, and named entity recognition, enhancing your data analysis capabilities and providing deeper insights. Additionally, we will demonstrate how to augment your database with Azure AI Search to further enhance your application's search capabilities and user experience.

Experience real-world examples and a live demonstration of building an AI application with Azure Database for PostgreSQL. Whether you're a developer, data scientist, or IT professional, this session will equip you with the knowledge and tools to transform your data analysis processes with AI on Azure. Don't miss this opportunity to elevate your applications and stay ahead in the AI-driven era.

You will learn:

• How to integrate large language models (LLMs) with Azure Database for PostgreSQL to perform advanced NLP tasks such as sentiment analysis and named entity recognition
• About the powerful features of Azure Database for PostgreSQL, including generative AI capabilities for enhanced data analysis and insights
• How to augment your database with Azure AI Search to improve search capabilities and user experience in AI-powered applications