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Generative AI
Cloud
Testing
Artificial intelligence
Security
Between the worlds we know and those still emerging, lies a horizon of possibility. Generative AI (Gen AI) and agentic technologies have brought us to this threshold—no longer distant concepts but forces actively reshaping how solutions are built, tested, and trusted.
Last year we explored the promise of Gen AI, automation, and human-in-the-loop systems; tools that became partners in testing and pushed the boundaries of Quality Engineering (QE). Since then, those possibilities have accelerated into reality, transforming how software is designed, developed, and delivered. Among all enterprise functions, QE stands out for its transformative potential.
This year’s theme, Adapting to Emerging Worlds, reflects the urgency of this shift. In a world where change is constant, adaptability has become the ultimate measure of resilience and leadership. For QE, this means rethinking roles, reimagining processes, and reshaping how quality itself is defined. The organizations that adapt fastest are the ones leading the next generation of smart, autonomous, and reliable engineering.
The 17th edition of the World Quality Report is your guide through this evolving terrain, equipping you with insights and tools to stay agile, anticipating the unexpected, and turning ambiguity into advantage. It goes beyond the headlines to answer some of the questions QE experts are asking:
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Global Leader Quality Engineering & Testing, Sogeti
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Vice President, Head of Quality Engineering & Testing, Sogeti and Capgemini, North America