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AI solutions with Microsoft
The efficient AI platform in your familiar environment
The useful extension for modern AI solutions
Experience the power of machine learning directly in your SQL Server. Microsoft SQL Server Machine Learning Services allow you to run R and Python scripts directly on your database servers. This offers you the following benefits:
- Seamless integration: run machine learning models directly in SQL Server without having to move data.
- Security and performance: Your data remains safe and secure within SQL Server, optimizing performance.
- Automation: Use stored procedures to automate your machine learning processes.
Integrated development environment (Python 3.10) (1)
A familiar development environment offers decisive advantages for the efficient implementation of your machine learning projects. Immerse yourself in the world of machine learning with a familiar development environment. Use the power of Python 3.10 directly in your SQL Server.
User interface
Use Azure Data Studio and Visual Studio Code for a seamless development experience. These powerful tools allow you to efficiently create and manage scripts.
Deploy as a stored procedure for automated execution
Automate your machine learning workflows by deploying your scripts as stored procedures. This enables continuous and automated execution of your models.
Data processing within the Microsoft SQL Server
Your data remains secure and protected, as all data processing takes place within the Microsoft SQL Server. No data is moved from the SQL Server or over the network.
Important: The scripts are executed in the database without moving data from SQL Server or over the network.
Extension of Visual Studio Code for Generative AI
Expand your capabilities with Visual Studio Code with additional features for Generative AI.
Microsoft Azure Machine Learning Service & OpenAI (2)
Expand your machine learning capabilities with Microsoft Azure Machine Learning Service and OpenAI. Azure offers a comprehensive suite of AI services and tools that enable you to develop, train and deploy advanced machine learning models.
Machine Learning Studio:
- Integrated development environment for Python 3.10: Use the Machine Learning Studio, a modern environment specifically for Python 3.10.
- Automation of ML processes: This environment enables seamless development and optimization of ML models with automated processes that save time and resources.
- Graphical interface for modeling ML processes and flows: The Machine Learning Studio provides an intuitive graphical user interface that simplifies the creation and customization of ML models.
- Improved efficiency: This visual modeling facilitates development and increases efficiency when working on complex projects.
OpenAI Studio:
- Graphical interface for playground and fine-tuning: OpenAI Studio provides an interactive environment that allows you to test and fine-tune models.
- Maximum model performance: Interactive customization allows you to ensure that your models achieve the best possible performance.
- Flexible and scalable cloud resources: Use the scalability of Azure to process large amounts of data and train complex models. Azure provides the necessary infrastructure to handle even the most demanding machine learning tasks.
- Provision of language models: Deploy powerful language models and integrate them seamlessly into your existing Azure services and workflows. This feature enables easy integration of language processing into your business processes.
With Microsoft Azure Machine Learning Service and OpenAI, organizations of all sizes and industries can expand their AI capabilities and take full advantage of their data.