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AI Technology Advancements in MS SQL Server 2024

Artificial Intelligence (AI) has been making significant strides in various fields, and database management is no exception. The intersection of AI and database management continues to evolve, with SQL AI tools emerging as powerful solutions for enhancing data querying, analysis, and management⁵. Here are some of the key advancements in AI technology in MS SQL Server 2024.

SQLFlow: Bridging SQL and Machine Learning

SQLFlow is a tool that bridges the gap between SQL and Machine Learning¹. It allows data scientists to use SQL to preprocess and transform data before feeding it into machine learning models⁶. SQL's familiarity and flexibility make it a preferred choice for data wrangling tasks, helping streamline the feature engineering process for machine learning applications⁶.

Predictive Query Engines

Predictive Query Engines are another significant advancement. These engines can predict future trends based on historical data, providing businesses with valuable insights that can inform decision-making processes¹.

Automated Model Training Platforms

Automated Model Training Platforms are tools that automate the process of training machine learning models¹. These platforms can significantly reduce the time and effort required to train models, making machine learning more accessible to businesses of all sizes.

Data Quality Assessment Tools

Data Quality Assessment Tools are designed to assess the quality of data in a database¹. These tools can identify issues such as missing data, inconsistencies, and anomalies, ensuring that the data used for analysis is accurate and reliable.

Real-time Anomaly Detection Systems

Real-time Anomaly Detection Systems can identify unusual patterns in data as they occur¹. These systems can alert businesses to potential issues in real-time, allowing them to take immediate action.

Integration with Azure OpenAI Services

SQL Server 2024 also integrates with Microsoft Azure OpenAI Services³. This integration allows businesses to leverage advanced systems for natural language, code, and image generation and understanding³. For example, businesses can use SQL Server Machine Learning Services with Microsoft Azure OpenAI Service to automatically generate high-quality starter ad copy based on product descriptions and other relevant data³.


The advancements in AI technology in MS SQL Server 2024 are revolutionizing the way businesses interact with their data. From bridging SQL and Machine Learning with SQLFlow to real-time anomaly detection, these tools are enhancing data querying, analysis, and management. As we move forward, we can expect to see even more innovative solutions that leverage the power of AI to transform database management.


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