Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Virtual tools that can help manufacturers simulate processes on the shop floor are only a valuable if the information being ...

Complex grids depend on equipment such as transformers, protection relays, switchgear, and cables—each of which can develop faults not immediately visible during normal operation. As a result, ...

Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

SmarterTools says the Warlock ransomware group hacked it through a VM running an unpatched SmarterMail server.

CHRISTCHURCH, New Zealand - Seequent, the Bentley Subsurface company, has streamlined laboratory testing in OpenGround, the leading cloud-connected geotechnical data management solution. The new ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

Modern industry is moving beyond simple monitoring. By integrating Predictive AI with a digital twin service, businesses are ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

The profession now has a clear path toward achieving long-standing goals, including improved accuracy and more meaningful work for new entrants, writes Trullion CEO Artie Minson.