QASource Blog

AI and ML are transforming the way that retailers do business, and their use in retail app testing can help organizations improve their accuracy, efficiency, and customer experience. In this blog post, we will explore the benefits of AI and ML in retail testing, the different types of AI and ML used in this context, the challenges of implementing these technologies, and best practices for successful implementation. We will also discuss the role of QASource, a software testing and quality assurance provider, in using advanced technologies to ensure that retail apps are functioning optimally.

A few years ago, intelligent security tools were just a marketing gimmick. Today, artificial intelligence and machine learning are necessary parts of IT security operations. AI is changing the security testing industry and is making software development safer, more efficient, and more reliable.

In order to test ML-based systems, metamorphic testing is used to describe the system functionality in terms of generic relations between inputs, the generic transformations of those inputs, and their outputs.

In recent years, conventional SaaS models have evolved into sophisticated service-oriented platforms geared toward enhancing business efficiencies and capabilities between the company and its suppliers, clients, and business partners. Artificial intelligence has become an integral part of SaaS 2.0, as AI-based SaaS integrations allow businesses to cater to their customers’ needs in DTC, B2C, and B2B markets.

Every company wants the future of technology implemented today. That’s why the AI industry rapidly grows year after year and continues to be one of the biggest automation testing technologies trends in software testing. Adding machine learning and AI to your QA testing strategy can be both exciting and scary. It’s always fun to engage with new technology and discover all the key benefits of AI in QA test automation. But what impact does AI and ML bring to software QA? And should that change be embraced or rejected?

Evolution in technology continues to make life easier. During the past decade, many surprising accomplishments have been done in the technical world.

In this expert series, we bring you the concepts that help us to gain insight into Data Science and its trends, Data Science types, and Machine Learning Life cycle so that you can have a good understanding of it.