In the software industry, quality is no longer just a final step — it’s a shared responsibility from the very start. The integration of DevOps into Quality Assurance (QA) marks a profound shift that goes beyond simply automating processes.
Generative AI is transforming software development through automation and speed—but at what cost? Without solid quality assurance (QA) practices in place, there’s a risk of introducing bugs, vulnerabilities, and technical debt.
Adopting technology without developing talent is like installing advanced systems on a foundation that doesn’t exist. Companies are investing more and more in digital modernization, but they face a tough reality: without a skilled team, digital transformation can quickly stall.
The business landscape in Latin America is undergoing a transformation, where CFOs (Chief Financial Officers) have evolved from traditionally finance-focused roles to positions with greater strategic and transformational influence. New technologies are redefining their capabilities, demanding continuous adaptation to maintain organizational competitiveness.
Artificial intelligence (AI) has emerged as a disruptive force across various industries, and software testing is no exception. As applications become more complex and the demand for quality increases, traditional testing methods face significant challenges.
To achieve agile and high-quality software development, it is essential to adopt approaches that optimize processes and enhance delivery. The integration of Test Automation with DevOps improves efficiency, reduces errors, and accelerates time-to-market.