Quality assurance has become the lynchpin for business enterprises to improve the overall quality of software products and services. This helps reduce development costs, time and effort, minimizes rework, and improves the reliability and usability of the software. The State of Software Quality Report 2023 – with the exclusive partnership of Cigniti and Deloitte and based on insights from over 3000 QA teams, provides a comprehensive view of the software quality landscape.

While using any non-payment app or website, sometimes we have a smooth, frictionless, seamless payment experience. Payment processes are so integrated or embedded within the non-payment apps or websites that there are no hiccups or interference while paying. Some applications have integrated payments, while others have embedded payment processes. There is some difference between the two – integrated payments and embedded payments.

The insurance industry plays a vital role in protecting businesses and individuals against potential losses. However, with technological advancements, customers expect faster and more personalized services, leading to increased complexity and challenges for traditional insurance systems.

Traditional forms of enterprise project management are constantly evolving as the field matures and expands. Although these ways of thinking have been successful in the past, changes to the ways we work, lightning-fast globalization, and the increased use of Agile across industries require a new way of working. As a result, structuring an Agile Project Management Office (PMO) is the next logical step. But what is an Agile PMO? Agile PMO is a modern take on Project Management techniques.

ChatGPT has taken the world by storm. Apps powered by large language models (LLMs) have suddenly taken center stage, with OpenAI, Google, Baidu, and Microsoft getting into the act. A spurt of startups and use cases has emerged on the scene. Suddenly, Generative AI, a branch to which these LLMs belong, seems to dominate every conversation, not just in the technology industry but among professionals the world over.

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.

A hardware security module (HSM) is a tamper-resistant physical computing device that safeguards and manages digital keys, performs encryption and decryption functions for digital signatures, and provides strong authentication and other cryptographic functions. HSM has mature technology, with high availability, scalability, and usability. These modules traditionally come in the form of a plug-in card or an external device that attaches directly to a computer or a network server.

ChatGPT has taken the world by storm. A simple interface is now being used by everyone and for everything. If you are in IT, I am sure not just your colleagues, but folks from your family that do not belong to the IT world are also talking about it. ChatGPT registered 13 million users per day in January. In comparison, it took Instagram and TikTok 2.5 years and 9 months, respectively, to reach 100 million users on their respective platforms.

The Internet of Things (IoT) is expanding at an unprecedented pace. As IoT solutions become more complex, the need for comprehensive and efficient IoT testing increases.

In today’s dynamic business environment, enterprises realize the importance of a quality-first approach to test automation. Prioritizing quality at speed over a faster release pipeline is essential for ensuring the success of an organization. However, implementing a successful quality-first approach requires an end-to-end collaboration, where quality becomes the responsibility of all the different personas involved in the software development life cycle (SDLC).