Zapier, the most connected AI orchestration platform, today announced major upgrades to let every company drive impact with AI. Zapier has launched Copilot, made multiple core tools free, enhanced ...
Artificial intelligence is now built directly into many SaaS platforms, and that shift has created a new testing challenge. These systems don’t just run code, they generate predictions, adapt to fresh ...
At its Unscripted event in London, DevOps company Harness presented its latest AI-driven modules, including an AI pipeline ...
AWS' Nova Act extension allows developers to build browser automation agents in their IDE, reducing the need to switch ...
Infrastructure as Code (IaC) has become essential in modern DevOps, enabling teams to define and manage infrastructure with ...
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Suprit Kumar Pattanayak: Shaping the Future of Artificial Intelligence with Innovation and Ethical Leadership
Suprit Kumar Pattanayak. Artificial Intelligence (AI) development is undergoing a transformation because of visionaries who combine their technical expertise with ethical respo ...
Discover how AI and natural language automation are transforming software testing with improved accuracy, speed, and collaboration, highlighting innovative tools shaping the future of QA. The Future ...
Certifications from Red Hat, Oracle and SUSE are tailored to environments where those Linux distributions are prevalent.
Where AI Automation Meets Career Advantage On October 3 at the Seattle Art Museum, ZAPTEST is flipping the script on QA and DevOps careers. Get in the room, see "Record & Playback Reinvented" in ...
NEW YORK and BUTTRIO, Italy, Sept. 10, 2025 – Copia Automation, the leading Industrial DevOps platform for manufacturing and distribution, has announced a strategic partnership with Danieli Automation ...
LogiGear, a global leader in software testing solutions, today announced the official launch of TestArchitect Cloud, a next-generation, cloud-native test automation platform. Designed for speed, ...
ABSTRACT: Introduction: DevOps maturity models help organizations benchmark their engineering capabilities, yet the empirical grounding of most models remains fragmented in scholarly literature.
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