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Speaker

Lawrence Teixeira

Lawrence Teixeira

Chief Transformation Officer @ Licks Attorneys | MBA in AI, Data-Driven Strategy

Rio de Janeiro, Brazil

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With a career spanning over 30 years in the Technology sector and 18 years of experience as a CTO/CIO, I excel in leading the development and implementation of strategic technological projects, focusing on system projects, advanced data analysis, Business Intelligence, and Artificial Intelligence. My MBA, specializing in Strategic Management and Artificial Intelligence, and a degree in Information Systems demonstrate my ability to align cutting-edge technologies with efficient business strategies, fostering innovation and enhancing organizational and operational efficiency. My passion is exploring the intersection between data, technology, and business to unleash innovation and create substantial value. Combining advanced data analysis, BI, and artificial intelligence with a strategic business vision is critical to success and efficiency in any organization.

Area of Expertise

  • Business & Management
  • Information & Communications Technology
  • Real Estate & Architecture
  • Region & Country

Topics

  • Business Strategy • Business Intelligence • Databases • Data Analysis
  • Power BI / Fabric
  • Azure SQL
  • Azure OpenAi
  • LLMs
  • Vector Databases
  • embeddings

Navigating Vector Operations in Azure SQL for Better Data Insights: A Guide How to Use Generative AI

Integrating Azure SQL and OpenAI represents a significant leap in data analytics, particularly with the incorporation of vector databases. These databases are pivotal in identifying similarities across diverse data types, making them essential for semantic search and recommendation systems applications. The private preview of Vector Support in Azure SQL underscores Microsoft's commitment to innovation, providing a seamless experience for developers to leverage these capabilities.

In this session, you will learn:

1. Embedding Data with Python: How to embed your data into vectors using Python and store these vectors in your Azure SQL database.

2. Connecting to Azure OpenAI from SQL: This section explains how to connect Azure OpenAI with SQL within Azure SQL, enabling advanced data processing and insights.

3. Vector Similarity Search Application: Demonstrate an application that performs vector similarity searches within an Azure SQL database, showcasing real-world use cases and efficiency.

We will share all resources, including the application and source code. This session will equip you with the knowledge and tools to enhance your data analytics projects using the powerful combination of Azure SQL and Azure OpenAI.

Attendees should have a basic knowledge of SQL and Python and an active Azure subscription, with access to Azure SQL Database and Azure OpenAI services. This session is ideal for data analysts, data scientists, AI developers, database administrators, and technology enthusiasts.

Lawrence Teixeira

Chief Transformation Officer @ Licks Attorneys | MBA in AI, Data-Driven Strategy

Rio de Janeiro, Brazil

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