February 27th, 2026
As more vendors push customers toward cloud-first deployment models, organizations in regulated, scrutinized, or legally complex sectors are asking a tougher question than simple feature comparison: who controls the platform that governs our software delivery lifecycle? For companies operating in areas such as cryptocurrency, gaming and gambling, adult-content-adjacent services, fintech, and other high-risk markets, that question goes well beyond convenience. It touches legal exposure, operational resilience, compliance readiness, and business continuity.
Read MoreFebruary 27th, 2026
Is it time you stopped outsourcing risks or blindspots and take back command?
Turn the Speed of AI into Your Innovation Advantage with Regulatory Ready Software Development
Read MoreFebruary 6th, 2026
Software Testing has a long history of automation and process improvement that has not always moved in one direction. Frequently the adage “One step forward, two steps back” could be applied to the history of test automation. Past methodologies have not always been successful and sometimes adoption of new methodologies has made the problems worse. Overall progress has often been achieved by taking the best parts of each methodology and incorporating them into the existing process.
The introduction of AI into software development and testing is disruptive and faster than any other automation experienced. The impact on Test Leads and Managers will be bigger and force many changes in how they operate. Written by Neil Price-Jones of NVP Solutions, this article addresses the challenges faced by Test Leads and Managers and provides some immediate steps that they need to take.
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