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DevOps + AI: Unlock Better Software Delivery With AI
DevOps +AI can be a winning combination. Implementing the DevOps model, using AI for testing, and utilizing observability projects can help companies release software without bottlenecks, improve performance, and handle high demand effectively.
Copilot for Tricentis Testim
Copilot for Tricentis Testim can significantly improve the efficiency and effectiveness of software testing, ultimately leading to higher quality software and faster release processes.
AI-Driven Testing
AI-driven development needs AI-driven testing. AI is revolutionizing software testing, saving time and automating processes to generate test cases and defects.
The AI Software Revolution is Here
AI Software is bring integrated everywhere, and that can easily be seen at the Atlassian Team 24 conference. AI is revolutionizing the QA area in the DevOps process, but there is a question of whether it can be trusted without human guidance.
AI in Software Testing: One Awesome Future
The future of AI in software testing is here! AI is revolutionizing software development by assisting with day-to-day tasks, generating test cases, writing custom JavaScript, and improving productivity, ultimately saving time and addressing challenges in the industry.
Scaling Up Continuous Testing in DevOps
Continuous testing at massive scale is possible, and essential for ensuring software and applications work for customers and frontline employees in a DevOps environment.
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DevOps Driving
In this online video series DevOps Driving, host Scott Moore interviews thought leaders in the DevOps space to discuss the latest trends and best practices. The series is targeted at a wide range of audiences, including software developers, testers, automation engineers, SDET’s, SREs, IT operations staff, DevOps practitioners, and business leaders.
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