The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

In 2025, enterprises are dealing with increasingly complex digital ecosystems, spanning cloud-native applications, AI models, IoT devices, and microservices that must work together seamlessly. As ...

RPA vs. test automation: What are the differences? Your email has been sent Automation tools have since adopted 4.0 technologies in their evolution. Part of this adoption uses RPA, artificial ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

TNO helps organisations initiate effective secure-by-design principles into their software or system development, to improve ...

How the combination of AI and flexible, software-defined instrumentation is poised to revolutionize the test and measurement industry. How AI tools can significantly enhance the efficiency of data ...