So check this out, my man – artificial intelligence is taking over the game in quality engineering. According to this report by Capgemini SE, Sogeti, and OpenText Corp, 77% of global businesses are investing in AI to make it a major part of their QE infrastructure. It’s all about enhancing sustainability in business operations and delivering value to the customers, you know?
And with high customer expectations, evolving guidelines, and cybersecurity risks, testing is getting more rigorous and agile. It’s evolving from pure testing to broader QE, focusing on delivering value over volume for the customers. And let me tell you, AI is playing a crucial role in this. It’s all about generating test cases, automating quality procedures and improving productivity.
But, you know, there are concerns about security, privacy, and biased outcomes related to AI in QA. 31% of respondents are skeptical about its value, so it’s important to take a gradual and incremental approach. And on top of that, sustainable IT is becoming a rising interest for quality teams, with 97% of respondents seeing QE as an active driver in their organization’s sustainability agenda.
It’s also clear that organizations are moving to Agile quality management, valuing a central testing center of excellence and prioritizing development skills for quality engineers. But, hey, there are still challenges, with 27% of organizations grappling with legacy systems and the fast-changing application landscape. It’s a wild ride, my man, but the future of quality engineering is looking exciting and full of potential.