{"id":16605,"date":"2021-12-07T12:50:42","date_gmt":"2021-12-07T07:20:42","guid":{"rendered":"https:\/\/cigniti.com\/blog\/?p=16605"},"modified":"2021-12-08T11:15:05","modified_gmt":"2021-12-08T05:45:05","slug":"digital-businesses-quality-assurance","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/digital-businesses-quality-assurance\/","title":{"rendered":"Pioneer Digital Businesses with Digital Quality Assurance"},"content":{"rendered":"

According to recent Gartner research, most organizations have advanced digital businesses as a response to COVID-19. CEOs are also aiming to emphasize digital investments as they plan for post-pandemic development and recovery.<\/p>\n

To keep up, IT leaders must be aggressive in prioritizing time, attention, and resources to accomplish digital business acceleration.<\/p>\n

Digital technologies are gradually advancing, allowing not only industries to grow, but also society to participate in this wave of digital transformation and acceptance. To satisfy the demands of digitally empowered clients, all businesses, particularly IT, rely heavily on Digital Quality Assurance and testing to assure product quality and a positive user experience.<\/p>\n

QA and testing used to be complicated and time-consuming processes, but we now have a simple solution that involves using an agile project management and product development methodology, as well as deploying software in a DevOps environment where testing is integrated into the software development process.<\/p>\n

Quality assurance can be transformed in a variety of ways. One of the numerous options is to use Digital QA, which is a testing solution that is not only faster and more reliable, but also intelligent. For example, every test automation system must retain its relevance in terms of application test coverage, maintain itself (self-healing), and so on in order to be effective.<\/p>\n

Digital QA will increasingly include Artificial Intelligence (AI) based components in test automation solutions, in addition to sophisticated test automation. AI can help with digital quality assurance in a variety of ways. The following are some examples:<\/p>\n