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.
September 28, 2022In 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.
March 8, 2022Modern consumers have everything they need right at their fingertips to interact with organizations. They can research, and purchase software products online, and also share their opinions of the product and overall consumer experience in minutes.
October 27, 2021Application programming interface (API) integration testing is necessary when building any software or mobile application. If your software does not match and supersede the efficiency and quality of other products in the market, it will fail. Let’s understand the basics of API integration.
September 8, 2021Artificial intelligence or AI is one of the trends that is highly in-demand in the quality assurance industry. By implementing AI in the test automation framework, QA engineers can expect faster release cycles and businesses can provide good customer experience.
June 22, 2021The use of artificial intelligence in test automation is one of the latest trends dominating the quality assurance industry. In fact, in Capgemini’s survey titled World Quality Report 2020-2021, 21% of IT leaders said that they are implementing AI in some form or another in their testing methodologies, while only 2% said that AI has no part in their future planning.
June 8, 2021The use of AI in software testing is geared towards making the software development lifecycle easier. Through the application of reasoning, problem solving and machine learning, artificial intelligence can be used to reduce the tedious and manual aspects of software development and testing, and automate the whole process. What Is Automation Testing? Automation testing is the software testing process of running test cases by using automated testing tools. With this type of testing, QA teams can perform tests faster, receive more accurate results and address code defects sooner.
March 5, 2020Thanks to artificial intelligence, impossible ideas of the past have become the reality of today. With AI, we have discovered more about the greatness of outer space as well as the micro-complexity of diseases and the possibilities for more value remain endless. In everyday life, we interact with AI when talking to our smartphones, shopping online and streaming our favorite TV shows and songs. So, it should be no surprise that software QA is quickly shifting towards integrating AI in QA testing. In fact, the AI industry is rapidly growing year after year and predicted to be one of the biggest software testing trends of this year.
October 23, 2019Based upon our extensive research on RPA and expertise in Automation testing, we have come up with this newsletter to explain the functionality and scope wise difference between these two verticals.