Software Testing

  Test automation is evolving at a rapid pace given the increasing complexity of software applications and the crying need to meet user expectations at all costs. Although automation testing has transformed the software testing environment, it comes with a different set of challenges. These include the need to have skilled resources, select the right tool, achieve effective team collaboration, meet the upfront cost of testing, and select a proper testing approach. Consequently, many companies are lagging in matching the level of customer experience of this digital transformation era. This is where scriptless test automation comes to the rescue of businesses by reducing or eliminating the need for scripting required for making test suites. Today, most developers use low- code automation platforms to meet test expectations of agility, scale, speed, and intelligence. Scriptless test automation or a no-code/low-code testing approach is gaining popularity with time because it boosts pro...

  Artificial Intelligence, or AI, has slowly but steadily made inroads into our lives in the form of personal assistants to self-driving cars. Today, a plethora of software applications incorporate AI, machine learning, and deep learning to undertake various activities in disparate domains. These may include bioinformatics, document classification and processing, and understanding natural language, among others. AI-led digital assurance may include speech processing and image classification being applied to computer vision and robotics. AI has allowed the automation of repetitive tasks with minimal or zero human intervention. Although the potential of artificial intelligence is not lost on many, businesses often balk at implementing the same given the slim return on investment. Technology, even if thought of as enabling for businesses, does not yield suitable outcomes. For most organizations, leveraging AI ML solutions is largely focused on the delivery of analytical models. In fac...

  Data is the new oil or gold of the digital age that helps business enterprises, entities, and governments derive rich insights and make informed decisions. Managing data, especially in real-time, has become critical in an increasingly remote, diversified, and complex digital environment. It helps drive operational excellence and requires a holistic approach to reduce costs, risks, and errors. Given the rising complexity of data, experts dealing with data and analytics should look beyond traditional solutions and opt for data modernization using AI-powered integration. The shift towards achieving better data management has led to the concept of data fabric. According to industry analysts, data fabric can be said to be the key to achieving data transformation. It integrates the organization’s data across processes, environments, and locations to generate better business outcomes. Leveraging data fabric can be a data modernization strategy that can address data management issues. ...

  The customer experience (CX) has become the lynchpin for driving success for businesses across domains. However, it is difficult to achieve given the plethora of touchpoints for customer interaction with a brand. It is a challenge to deliver a superior end-to-end customer experience that improves customer retention and drives customer loyalty. It has been observed that businesses with a higher Net Promoter Score grow faster and meet their objectives. No wonder they are focusing on improving the digital customer experience by utilizing a digital customer experience assurance platform. It allows them to collect information related to customer interactions with the brand, followed by analyzing them and drawing suitable business insights. Remember, the bottom line of a company can improve significantly with a commensurate improvement in CX, thereby positively impacting customer retention and increasing up-selling and cross-selling. Any customer experience assurance platform helps bus...