Business AI

AI has the ability to revolutionize the medical landscape, but to enable this, Quality Engineering is critically important.

Despite some myths and fears, AI is a powerful partner, not a replacement for true Quality Engineering. Here's how Quality Engineering can not only stay relevant, but thrive in this evolving landscape through the use of AI.

The use of business AI in the retail and consumer goods industry is intrinsically linked with quality engineering assurance. Quality engineering assurance, with its roots in traditional software testing, has evolved into a multifaceted discipline. In this blog, we look at how business AI is transforming the retail industry.

In the rapidly evolving field of artificial intelligence (AI), self-healing data models represent a groundbreaking advancement that promises to enhance the robustness, efficiency, and adaptability of AI applications.

With speech data being a form of Ground Truth Data, this is a field in which we at Qualitest have deep expertise. In this article, we take a look at how important speech data collection is for natural language.

With more organizations looking at additional investing in NLP, the market for this is projected to reach $35.1 billion by 2026. In this article, we look at what this rapid growth means for the many enterprises that recognize the power and potential of using AI to understand human language. 

As the world around us becomes more digitally focused, the way we interact with machines, data and each other is becoming more prominently through touchscreens, gestures, facial recognition, voice commands, and beyond. This revolution is driven by artificial intelligence (AI) and machine learning (ML) algorithms that rely on accurate ground truth data to produce effective recognition of the real world. 

In our new report, we explore how the rise of AI and ChatGPT has contributed to the world of software testing.

With the recent rise in AI tools such as ChatGPT, there has been much debate over the use of these to automate or even replace key tasks in software development. There has even been talk of AI replacing software development jobs altogether. Will the use of AI be a boon or a bane to software developers?