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A fix for a critical flaw in a tool allowing organizations to run GPU-accelerated containers released last year did not fully mitigate the issue.

Not all cloud-based apps are cloud-native and vice versa. This guide unpacks the architectural, operational, and strategic distinctions to help IT teams make the right deployment choices.

The 2023 collapse of major banks underscores how weak risk management can trigger economic turmoil -- and why a data-driven, tech-enabled risk strategy is essential for stability and growth.

By moving testing, security, and code reviews earlier in the development cycle, Agile shift-left strategies -- powered by automation and AI -- reduce risks, cut costs, and boost software quality.

This first installment of a three-part series introduces essential SQL commands for creating, modifying, and deleting tables within SQL Server Management Studio.

Conventional wisdom is that AI developers are close to exhausting all the data available for model training. Here's why that isn't necessarily the case.

Linux communities are at the heart of AI innovation, contributing to open source frameworks, optimizing hardware acceleration, and fostering global collaboration.

A new era of U.S. federal AI policy is shifting public service delivery from human-led agencies to commercially developed AI systems, raising urgent questions.

Some IT talents march to the beat of a different drummer. Here's how CIOs and other leaders can keep these unique individuals from disrupting team rhythm.

In this advice column, an IT pro seeks recommendations for free tools, particularly for automation and monitoring.