It’s been over 70 years since Alan Turing defined what many still consider to be the ultimate test for a computer system — Can a machine exhibit intelligent behavior that is indistinguishable from that of a human? Originally coined the imitation game, the Turing test involves having someone evaluate text conversations between a human and a machine designed to respond like a human. The machine passes the test if the evaluator cannot reliably tell the difference between the human versus machine-generated text. Although the Turing test generally serves as a starting point for discussing AI advances, some question its validity as a test of intelligence. After all, the results do not require the machine to be correct, only for its answers to resemble those of a human.

Whether it’s due to artificial “intelligence” or imitation, we live in an age where machines are capable of generating convincingly realistic content. Generative AI does more than answer questions, it writes articles and poetry, synthesizes human faces and voices, creates music and artwork, and even develops and tests software. But what are the implications of these machine-based imitation games? Are they a glimpse into a future where AI reaches general or super intelligence? Or is it simply a matter of revisiting or redefining the Turing test? Join Tariq King as he leverages a live audience of software testing professionals to probe everything from generative adversarial networks (GANs) to generative pre-trained transformers (GPT). Let’s critically examine the Turing test and more because it’s judgment day — and this time, we are the judges!

Conventional test automation approaches are time-consuming and can produce scripts that are fragile and overly sensitive to change. The rise of AI-driven test automation tools is promising more robust and resilient test scripts that are able to self-heal as the application evolves. But what exactly is this technology all about and how do you get started? Does it require learning new skills and technologies? What tools are immediately available for beginners? Join Tariq King as he introduces you to the world of AI-driven test automation. Learn the fundamentals of AI and ML and how you can apply it to software testing problems. Discover where you can find freely available, open-source tools to support AI-driven test automation. Using a step-by-step approach, Tariq guides you through the basics of what is needed to help you get started with AI-driven testing. No prior programming or AI/ML experience needed!

This session will discuss automation, test data management, test scripting, exploratory testing enhance testing with Large Language Model (LLM) Identify opportunities to improve test quality with AI Construct test automation with AI tools Ideas during exploratory testing using AI tools Leverage AI tools to aid the design process of new features Improve testability with AI tools Maximize output with prompt engineering

Leverage AI and LLMs and GenAI to improve your software and data testing efficiency Learn new tools and tricks for Testing

As digital transformation accelerates, Quality Assurance is evolving into a critical driver of innovation and business success. This session delves into the transformation of QA into quality engineering, where automation, agile practices, and data-driven strategies converge to meet the demands of speed, scale, and superior customer experience. Discover the tools, techniques, and future trends redefining quality in the digital age—and learn how to position QA as a catalyst for continuous improvement and competitive advantage.

The audience would get an understanding of the following:

• The role of QA in Digital Transformation
• How QA has evolved (from traditional QA to QE)
• The role of automation in QA
• Current trends and how they integrate with QA
• QA in new and emerging technologies
• Challenges and how to overcome
• Overlay the above with my examples of my experience in embedding QA across organisations

This presentation explores how to build and implement a scalable test automation solution with observability to enable high-speed continuous delivery. I will share our journey, key insights, challenges, and lessons learned along the way. Additionally, we will showcase how this approach has helped us accelerate feature delivery to production.

• Shared approach to quality
• An agreement on risks
• Early steps for scalable test automation
• Testability
• Observability
• Derive insights
• Sharing of insights and feedback loop
• Maintenance & Improvements

Testing has been transformed by automation, but has software quality increased as a result? Assuming that these metrics accurately represent quality, many teams take pride in passing test suites, strong test coverage, and quick execution times. However, serious flaws continue to make their way into production. Why?

This talk explores the Quality Illusion—the false belief that automation guarantees better software. We’ll break down the biggest misconceptions about automation, the erroneous use of metrics that create false confidence, and the cognitive biases that influence what we choose to automate (and what we ignore).

We’ll also go over why it’s a mistake for automation to frequently replace human-driven testing methods like risk assessment, exploratory testing, and user-focused validation. Automation should be a tool for insight, not a replacement for thinking.

• A deeper understanding of automation biases, why we automate certain things and overlook others.
• Why metrics like test coverage and pass rates can be misleading and what better indicators of quality look like.
• How over-reliance on automation reduces space for human-driven testing and why that weakens overall quality.
• A practical framework to align automation with real-world risks and business impact.

Vaibhav Mittal is a dynamic technology executive with expertise in driving business growth through strategic leadership. He is skilled in digital transformation, data strategy, cloud solutions, and cybersecurity. Vaibhav excels in managing cross-functional teams and delivering impactful projects. His proficiency spans diverse domains, including energy, finance, healthcare, and advanced analytics, ensuring operational excellence.

A highly experienced senior QA program director with a proven track record in SAP test strategy creation, governance and delivery.
Has also led QA transformations, QA governance, global workforce management, implementing developer led testing, technical automation and large project delivery.
Delivering substantial, measurable cost and headcount savings, while improving overall application quality through strategic planning and delivery, most recently at Transport for NSW, JP Morgan and Macquarie Bank.

Stephen Wykes is a passionate technology leader who builds high-performing, innovative teams. An early Agile adopter, he has led technology change by developing quality engineering platforms. He thrives on aligning business strategies with technology, ensuring teams understand their role in driving company and customer success.

Anne-Marie is the lead advocate for quality engineering, navigating change, and keeping quality in everyone’s minds. Her years of experience as director of engineering at Culture Amp, head of engineering at Tyro Payment, quality engineering consultant, and test automation engineer stand her in good stead.

Anne-Marie’s technical background as an Electronic Engineer has enabled her to speak to technical and product expertise. Anne-Marie is an international keynote speaker who has spoken at multiple international conferences.

A senior digital and technology executive with 20+ years of IT and digital management experience. Expertise in leading complex projects, authoring books on SOA, and holding digital innovation patents. Specializes in enterprise software security with a Doctorate in IT and a strong track record in startups and large enterprises.