What does effective testing look like when software architectures span distributed systems, delivery cycles continue to accelerate, and AI is changing both the way applications are built and the systems they contain?
For experienced testing professionals, these are not theoretical questions. They influence engineering decisions, automation investments, risk management, team structures, and the ability to maintain confidence in increasingly complex products.
The AI and Testing Conference Amsterdam 2027 creates space for a more substantive conversation about these challenges. Across software testing and quality engineering, the focus extends to the effectiveness of established practices, the limits of automation, the economics of quality, and the engineering decisions that determine whether testing delivers meaningful value.
AI adds another dimension to the discussion. Beyond its potential to change testing workflows, it raises broader questions about system behaviour, reliability, evaluation, and accountability. Understanding these developments requires more than familiarity with new tools; it demands sound engineering judgement and a clear understanding of quality.
Bringing these perspectives together, the conference is designed for professionals who have spent years building, testing, delivering, and governing software systems. It offers an opportunity to exchange hard-won experience, examine approaches beyond one's own organisation, and engage with the questions that will influence testing practice in the years ahead.
Why Attend?
For Professionals Who Shape Software Quality
Challenge Established Thinking - Revisit familiar testing approaches in the context of modern architectures, accelerated delivery, and changing expectations around quality. Examine what remains effective, what needs rethinking, and why.
Evaluate the Next Generation of Testing Practices -Engage with developments in automation, continuous testing, performance engineering, security, and quality strategy, with an emphasis on engineering effectiveness rather than tools alone.
Make Sense of AI Beyond the Hype - Examine where AI offers genuine value, where its limitations matter, and how to make informed decisions about its use across software development and testing.
Address Quality at Scale - Consider the challenges of maintaining meaningful coverage, managing technical risk, and establishing confidence across complex systems, large engineering teams, and frequent releases.
Exchange Experience with Seasoned Practitioners - Compare approaches, lessons, and implementation realities with professionals who understand the constraints of delivering and maintaining software in demanding environments.
Connect Engineering Practice with Business Outcomes - Explore how testing strategy, automation investment, and quality engineering influence delivery performance, operational risk, and the cost of maintaining software.
Prepare for the Next Set of Engineering Decisions - Build a broader perspective on the developments likely to influence testing architectures, team capabilities, and quality strategies over the coming years.
Broaden Your Professional Network - Connect with peers across testing, architecture, development, and engineering leadership to exchange perspectives that extend beyond individual tools, teams, and organisations.
The AI and Testing Conference Amsterdam 2027 is an opportunity to step back from day-to-day delivery, engage with the wider testing and AI landscape, and return to the questions that matter most: how we engineer quality, how we assess new technologies, and how we maintain confidence in the software on which businesses depend.
