By taking advantage of tools like Amazon QuickSight, Aurora and Athena in combination with SQL queries, developers can have much more direct access to machine learning models and underlying data ...

But it was SQL Server’s new machine learning tools that grabbed my attention. Machine learning remains one of Microsoft’s big themes for 2017, and it’s an important segment of SQL Server 2017.

Over a month after SQL Server 2019 became generally available, Microsoft has now shined light on some more aspects of the improved machine learning capabilities offered with this release.

If you're into data and databases and you have not heard the term 'machine learning,' may I suggest that you're not reading enough? This technology is hot and hyped, largely because it is the secret ...

Adversarial attacks are different from other threats programmers face, so they need to understand the weak spots in machine learning.

To that end, Google has announced a beta release of BigQuery ML, a SQL-based extension to its enterprise data warehouse service, for building and deploying machine learning models.

The latest trends in software development from the Computer Weekly Application Developer Network. Professor Clough argues that the adoption of Machine Learning (ML) and Artificial Intelligence (AI ...

Microsoft, apparently trying to enhance every product it has with an AI-powered Copilot, announced a new one for the latest release of SQL Server Developer Tools (SSDT) in Visual Studio.

This contribution comes from Monte Zweben, CEO of Splice Machine — the company is known for its scale-out database built with Machine Learning (ML) capabilities.

While perhaps not offering new conclusions about the hottest technologies in the software development arena, a new Developer Economics survey from SlashData provides more hard evidence that data ...