The Future of Testing Roles: Adapting to AI-Driven Quality Engineering
About Topic
As AI continues to reshape software development, the role of testing is evolving rapidly. AI is transforming testing processes, from automating repetitive tasks to enhancing predictive analytics for defect detection. But does this mean traditional testing roles will disappear? Not quite.
We’ll discuss how QA professionals can adapt by shifting towards quality engineering, leveraging AI-driven tools while focusing on strategy, critical thinking, and risk-based testing.
Key Takeaways
1. Innovation creates noise, making obvious truths harder to see.
2. Question if a problem really needs GenAI or if existing tools suffice.
3. Understand GenAI’s true value beyond the hype.
4. Old and new solutions should complement, not replace, each other.
5. A real-world case study shows how GenAI can be used effectively.
6. Clarity comes from cutting through illusions and embracing simplicity.
About Speaker
I am Ariadna Trueba, a seasoned QA Technical Director. With 15+ years of experience I have honed my skills in QA engineering, software testing, and data strategy. Specializing in AI-driven automation, data quality, and governance, I have led initiatives to improve data integrity, testing frameworks, and enterprise-level reporting. My expertise spans software quality, audits, and AI applications in testing and automation. My experience has been enriched by working with diverse environments and methodologies, including Agile and SCRUM, large-scale global environments and implementing strategic improvements in data transactions and API integrations. Passionate about driving innovation in QA and data, I continuously advocate for best practices and industry excellence
Topic details coming soon..
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