The insurance industry has always been one of the most data-intensive industries. With a large amount of customer data, claims data, and other information, insurers have been adopting artificial intelligence (AI) to streamline their processes and provide better customer experiences. AI-powered technologies have enabled insurers to automate claims processing, fraud detection, and underwriting, among other things. Here are six top use cases of AI for insurance.

In Part 1 of this series about Test Case Design, you learned that by using the Test Case Designer tool in Xray Enterprise, you take a model-first approach to designing more thorough and efficient tests. But how does the tool generate optimized scenarios once we define those models? And what do we mean by “optimized”?

In today’s digital age, security has become a top priority for businesses of all sizes. With the increasing number of cyber-attacks and data breaches, ensuring that your website and applications are secure is essential. Usually, access to websites that are actively being developed or are intended for private/internal usage within an organization is restricted. A common way to do this is with custom SSL certificates. This ensures that the website won’t be publicly available.

A crucial part of Kubernetes monitoring is about choosing the right tool and methodology. This post introduces 5 popular options.

Performance testing uses workflows in parallel to test a system’s infrastructure to ensure a product works successfully for many users at the same time.

When automating a web application, we occasionally run across the NoSuchElementException exception, which is thrown when the element being interacted with cannot be located. The main reason for this error is that the element that has to be interacted with is present on the page but takes some time to load and show up for the user. You can see how this could become a significant problem during automation and cause our scripts to fail.

End to end testing (E2E testing) is a software testing technique that evaluates the functionality and performance of an application by testing it from start to finish, under real-world conditions. By simulating the live settings, E2E testing validates the behavior of not only the overall application but also its sub-systems from the end user's perspective.

Modern applications are built on a microservices architecture that leverages cloud-native technologies. This architecture has many benefits regarding scalability and fault-tolerance of individual components, but it also increases the complexity of the applications, mostly due to the interdependencies between services. This complexity makes it difficult for engineers to fully understand how their applications will react to abnormal conditions, such as a dependency failure or performance degradation.

With the rise of fintech companies, SaaS, and new digital channels to sell goods and services, creating superb payment experiences has quickly become critical to any business that collects payments and pays out funds. Whether you offer a B2C or B2B product or service, ensuring seamless payments has never been more crucial. Ensuring these great payment experiences can only come through extensive payment testing strategies covering many device, user, and O/S combinations.