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!

As the software development landscape evolves, quality engineering (QE) and test automation face increasing demands for speed, accuracy, and efficiency. Traditional testing methods struggle to keep pace with the complexity and rapid release cycles of modern software applications. Enter AI-driven test automation: a transformative approach that leverages artificial intelligence to revolutionize how testing is performed.

“Leading the Future of Quality Engineering with AI-Driven Test Automation” topic will provide test leaders and quality engineers with insights and strategies to harness the power of AI in their testing processes. This session will explore the intersection of AI and test automation, focusing on how AI can enhance test case generation, predictive analytics, defect detection, and test maintenance.

This session will conclude with a forward-looking perspective on the future of AI in quality engineering and test automation. Attendees will gain valuable insights into emerging trends, preparing them to lead their teams and organizations into a future where AI-driven test automation is the norm.

Over the past 20 years, we’ve witnessed a remarkable evolution in application hosting, transitioning from physical servers to virtual machines, then to cloud-based infrastructure, and finally to containerized applications running on the cloud.
In this session will explore how each of these advancements reshapes our approach to performance testing and shifts our mindset.

Grasp the Essentials: Explore the distinctions between hosting on physical servers, virtual machines, cloud infrastructure, and containers in the cloud.- Metric Implications: Understand how these hosting options impact the traditional performance metrics.- Scaling Dynamics: Discover the transformations that occurs when scaling enters the equation.- Unseen Costs: Uncover the hidden expenses lurking in cloud deployments.- Performance Insights: Gain a nuanced perspective on the pros and cons of each hosting strategy from a performance standpoint.

Using QE frameworks to integrate using Appium and Perfecto to automate Mobile apps including Miniapps for automated tests inclusive for functional, performance and ally tests

Using Perfecto and appium for effective test automation

Over the years, cloud technologies have become increasingly integral to the software testing industry. Cloud technologies provide the infrastructure and services needed for testing, offering scalable resources essential for running high-load performance tests and enabling teams to execute large-scale test suites efficiently. This evolution in cloud technology is revolutionising software testing by enhancing efficiency and facilitating innovation.
This talk will explore how to build and leverage these essential skills to enhance testing practices and boost productivity.
We will start with an introduction to cloud computing, laying the groundwork for understanding their pivotal roles in modern testing environments. Attendees will learn a structured approach to developing knowledge in these areas, focusing on practical skills and knowledge that can be applied directly to their testing processes.
The session will then delve into specific applications of cloud technologies in testing through real-world examples drawn from my own experience.

• Understanding cloud fundamentals: Overview of cloud technologies and their significance in the context of software testing.
• Skill development strategies: Learn effective strategies for building and enhancing skills in the cloud, tailored to the needs of software testing professionals.
• Practical application in Quality Engineering: Discover how to integrate cloud solutions into quality engineering activities to streamline processes and achieve better outcomes.