​Use Azure OpenAI and GPT prompts to convert natural language to SQL
Azure OpenAI
Nov 20, 2023 6:00 PM

​Use Azure OpenAI and GPT prompts to convert natural language to SQL

by HubSite 365 about Microsoft

Software Development Redmond, Washington

Pro UserAzure OpenAILearning Selection

Unlock AIs potential with Azure OpenAI to convert natural language into SQL for superior app functionalities.

Discover the power of AI in transforming natural language into SQL with this informative 16-minute video by Dan Wahlin. He showcases the use of Azure OpenAI to improve application features through the innovative integration of AI and database query language. This transformation in technology streamlines the ability for applications to understand and use natural language more effectively.

Originating from a Microsoft 365 & Power Platform Call featuring Microsoft Speakers, this particular demonstration from September 26th, 2023, is vital for developers interested in application enhancement. Dan Wahlin from Microsoft takes center stage in this presentation, aiming to educate viewers on the possibilities with emerging tech in app development.

The video tutorial provides guidance on integrating Azure OpenAI, Azure Communication Services, and Microsoft Graph to augment Line of Business applications. It explores how these integrations can boost productivity, elevate user experience, and advance application capabilities.

Azure OpenAI serves a pivotal role in enabling a range of AI features such as converting user questions into SQL queries, defining automation rules for messaging, and extracting data with natural language. Communication services facilitate in-app customer calls and messaging. Access to organizational data through Microsoft Graph reduces the need for users to switch between apps, enhancing efficiency and the user experience.

A case study of a simple customer management application is explored. This app, built using TypeScript, showcases backend APIs that work in conjunction with front-end processes to utilize AI, send messages, and access organizational data seamlessly.

The video tutorial promotes an educational journey through setting up Azure and Microsoft 365 resources. It delves into code functionality and encourages interactive learning through exercises that do not require direct coding but instead adjustment and experimentation with existing code.

Dive into different areas of the tutorial at your leisure. Whether completing the tutorial in full or focusing on sections like AI, Communication, or Organizational Data, there's flexibility to customize your learning experience.

To get started, you'll need to meet some prerequisites, including Node 16+, npm 7+, git, and Visual Studio Code, alongside an Azure subscription, a Microsoft 365 developer tenant, and a compliant container runtime for Docker.

Microsoft Cloud Technologies are a key component of this tutorial, encompassing tools such as Azure Communication Services, Azure OpenAI Service, Microsoft Graph, and the Microsoft Graph Toolkit, among others.


Further Insights on Azure OpenAI Applications

In the realm of cloud computing and AI, Azure OpenAI and similar platforms are reshaping how we interact with data and conduct business. Utilizing the capability to translate natural language into complex SQL queries, these technologies offer unparalleled efficiencies in data management and application development. They empower users with little to no programming expertise to harness the power of sophisticated database interactions with ease.

The role of Azure OpenAI in enhancing user experience and productivity in various business applications cannot be overstated. By providing more intuitive interfaces and reducing the complexity of technical operations, these AI services are democratizing access to advanced technology. This ultimately streamlines workflows and improves decision-making processes, leading to more agile and responsive business environments.

The marriage of Azure OpenAI with other Microsoft technologies, such as Microsoft Graph and Azure Communication Services, exemplifies the integrative approach that Microsoft embodies – one where diverse services coalesce to provide comprehensive solutions. As we continue to witness the expansion of AI's capabilities within business applications, the potential for growth and innovation appears to be limitless.

Azure OpenAI - Converting Natural Language to SQL with Azure OpenAI GPT

The Power of Azure OpenAI: A General Overview

In a 16-minute video delivered by the prominent tech expert Dan Wahlin, he exhibits the prowess of Microsoft's Azure OpenAI infrastructure and how it can be used to translate human language queries into SQL. This unveils a new horizon where artificial intelligence (AI) and database query languages synergize, thereby enhancing the efficiency of applications.

The presentation was brought to the tech industry during the Microsoft 365 & Power Platform Call. Now, imagine being able to transform natural language inquiries into structured SQL, this elevates application productivity and usability, opening doors to technological advancements.

To put this into a practical function, the demo integrates Microsoft's core services: Azure OpenAI, Azure Communication Services, Microsoft Graph and Microsoft Graph Toolkit, highlighting their functionality in Line of Business applications.

The AI feature of Azure allows users to input questions in their common spoken language and translates these into SQL, making it possible to pull requested data from a database. This functionality is mapped onto a prototype customer management application, aimed at streamlining work processes and boosting user productivity.

The application provides in-app phone call functionality and Email/SMS services using Azure Communication Services, reducing the need to switch between different platforms or applications. This revolutionizes customer management, ensuring the necessary data and functionalities are availed instantly.

To make processes more seamless, an interconnection between AI functions, communication, and organizational data is seen. Data interaction and AI functionality are the core parts of this application, and the integration of Azure's cloud-based services makes these interactions even more potent.

The tutorial gives a comprehensive guide through the set-up processes of the required Azure and Microsoft 365 resources. It also guides through the modification of implemented codes to suit different scenarios. To ensure a wide reach, basic prerequisites are needed, such as Node 16+, npm 7+, git, Visual Studio Code, Azure subscription, Microsoft 365 developer tenant, and Docker Desktop.

The tutorial offers diverse topic areas: Clone the Project Exercise, AI Exercises, Communication Exercises, and Organizational Data Exercises. These exercises can either be taken as a whole or based on an individual's interest.

Lastly, there are several Microsoft Cloud Technologies employed in this Tutorial, including Microsoft Entra ID, Azure Communication Services, Azure OpenAI Service, Microsoft Graph, and Microsoft Graph Toolkit. These technologies play a crucial role in making such integrations possible and hence transforming the field of application development.


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