Systems | Development | Analytics | API | Testing

Artificial Intelligence (AI) is reshaping Quality Assurance (QA) by accelerating testing, improving accuracy, and uncovering insights that once required hours of manual analysis. Yet, with great capability comes great responsibility. As AI begins to influence how tests are designed, executed, and interpreted, ensuring that it’s used ethically has never been more important. Responsible AI in QA isn’t only about compliance — it’s about trust.

Tricentis SeaLights now supports SAP ABAP — expanding our SAP Change Impact Analysis solution by bringing SAP testing to the cloud. This new capability enables SAP teams to improve testing efficiency, reduce quality risks, and accelerate releases in modern cloud and hybrid environments. By delivering precise, actionable insights into what needs to be tested and where coverage gaps remain, SeaLights empowers teams to focus their efforts where it matters most.

In a world where digital velocity defines competitiveness, quality can no longer be a bottleneck: it must be a catalyst. To help enterprises scale with confidence, Katalon and QualityKiosk Technologies (QK) have partnered to launch a transformative QA Assessment Initiative. This initiative is designed to benchmark, elevate, and future-proof quality assurance practices across industries.

Code stability and reliability can be a concern when building front-end applications. As web applications become more complex, web developers require a test framework that is simple yet incredibly powerful. This is where Jest testing comes in handy. Jest is a testing type designed and maintained by Facebook, which is already the ideal tool for most front-end programmers needing precise, fast, and robust test coverage.

‍ Every year, billions of dollars crisscross the globe, not through exotic trades but everyday remittances. In 2024, global remittance flows reached around USD 905 billion, growing at a CAGR of 4.6% over 2023. These flows now exceed foreign direct investment in many developing countries, underlining how critical remittances are for economies and families. ‍

The stakes for AI and data privacy are high. Risks in non-production environments are increasing. Regulatory bodies enact new privacy regulations each year. And concerns are rising as the AI/ML boom continues. Businesses like yours must be aware of key AI data privacy challenges. Read on to learn what these challenges are and how to address them.

As 2026 planning kicks into high gear, your CFO may be putting every technology investment under the microscope, but the focus and pressure to deliver on AI Innovation has never been higher. For IT Leaders, the challenge is clear and straightforward. How do you strike a balance continuing to move your AI initiatives forward and maintaining a balanced budget in 2026?

Atlassian Rovo is the latest evolution of AI-powered knowledge discovery and workflow assistance, built by Atlassian to help teams turn scattered information into meaningful actions. Rovo works on three core dimensions: Rovo is available in all Atlassian products by default. Users have multiple methods to engage with the AI, each offering different levels of complexity and interaction.