Artificial Intelligence is transforming the software testing landscape, enhancing efficiency, accuracy, and scalability. This keynote explores how AI-driven techniques, such as autonomous testing, predictive analytics, and intelligent test case generation, are revolutionizing the field. Discover how AI is shaping the future of QA and what it means for testers and organizations.

This paper explores the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on modern automation across various industries. By delving into the efficiencies, scalability, and cost savings achieved through AI-driven automation, the paper highlights the broad applications from business process optimization to predictive maintenance in manufacturing, healthcare advancements, and financial innovations. It provides an in-depth analysis of real-world case studies, illustrating successful implementations and the challenges faced. Additionally, the paper addresses the critical aspects of data quality, ethical considerations, and the future trends shaping the automation landscape, offering insights into the profound changes AI and ML bring to the industrial and societal domains.

• Enhanced Efficiency and Accuracy: AI and ML significantly boost the efficiency and accuracy of automated processes, reducing human error and enabling faster and more reliable operations across various industries.
• Broad Applicability Across Industries: The application of AI and ML in automation is versatile, impacting numerous sectors including business, healthcare, finance, and manufacturing. This wide applicability demonstrates the potential for transformative changes and improvements in diverse fields.
• Overcoming Challenges: Implementing AI and ML in automation requires addressing key challenges such as data quality management, ethical considerations, and security concerns. Understanding and overcoming these challenges is crucial for successful adoption and integration.
• Future Trends and Impact: Emerging trends in AI and ML, such as autonomous systems and advanced robotics, are poised to further revolutionize automation. These advancements will not only drive industrial innovation but also have significant implications for the workforce and society, necessitating proactive preparation and adaptation.

In today’s digital landscape, users interact with brands across multiple touchpoints, from mobile apps and web platforms to voice assistants and wearables. Multi-experience testing is the process of ensuring that these diverse interactions offer a consistent, smooth, and engaging user experience. This session will explore the best practices, tools, and strategies for testing across multiple channels and devices. Attendees will learn how to identify user expectations, detect inconsistencies, and ensure high-quality experiences across various platforms, enabling a cohesive brand experience

• Understanding Multi-Experience: Gain a clear understanding of what multi-experience is and why it is critical in today’s interconnected digital ecosystem.
• Importance of Consistency: Learn the importance of delivering a seamless, consistent experience across various channels, platforms, and devices.
• Testing Strategies: Discover effective strategies and tools for testing multi-experience applications, ensuring high performance and user satisfaction.
• Identifying User Expectations: Understand how to identify and meet user expectations in a multi-channel environment, enhancing overall engagement.
• Cross-Platform Challenges: Explore common challenges in multi-experience testing and learn how to overcome them with actionable insights.
• Future Trends: Get a glimpse into the future of multi-experience development and testing, preparing for the evolving needs of digital users.

Mobile automation testing presents unique challenges that set it apart from traditional web testing. This talk delves into real-world experiences of implementing automation frameworks for both native and hybrid mobile applications.

We’ll explore key differences between mobile and web automation, addressing common concerns like device fragmentation, platform-specific behaviors, test reliability and much more. Through practical examples and lessons learned, attendees will discover effective strategies for building and maintaining robust mobile automation frameworks. Whether you’re new to mobile testing or looking to enhance your existing automation approach, this session will provide valuable insights into transforming mobile testing challenges into structured, scalable solutions.
Many testers think, “Oh, it’s just like testing websites, but on a smaller screen” – but there’s so much more to it!

• Walk away with clear insights into what makes mobile testing distinct from web testing. Learn to tackle real device challenges like handling interruptions, gestures, and permissions that are unique to mobile environments.
• Master practical strategies for efficient device coverage and discover whether cloud or local device farms better suit your needs. Gain knowledge about building reliable test frameworks that scale well and integrate smoothly with your development pipeline.
• Leave equipped with proven solutions to overcome common mobile testing hurdles, optimize test execution, and maintain robust automation suites that stand the test of time.

In a world driven by machine learning, ensuring accuracy and reliability has never been more critical. This talk will explore how traditional test automation principles adapt to the complexities of machine learning systems. We’ll dive into unique challenges like testing dynamic models, validating predictions, and maintaining continuous quality as data evolves. Attendees will learn strategies for creating robust testing frameworks that incorporate data integrity checks, model drift detection, and automation pipelines for scalable testing in ML environments.

• Checklist for ML Test Automation – A quick-reference guide to critical testing considerations specific to ML systems.
• Sample ML Test Framework Template – Code snippets and a framework template for setting up automated tests in ML projects.
• Guide on Handling Model Drift with Automation – Best practices and tools for automating model drift detection and response.
• Resource List – Curated links to articles, tools, and libraries for ML test automation and continuous testing.

In modern software development fast delivery plays a crucial role. Over the years, significant improvements have been made to accelerate development cycles, but yet many organizations are still facing delays due to slow and inefficient testing processes. It is not only creating bottlenecks but also it forces teams to sacrifice quality for the sake of speed.

TestOps emerges as the solution to this challenge, bridging the gap between rapid delivery and acceptable quality assurance. It redefines the operational aspects of testing by integrating it into workflows, leveraging automation, collaboration, and continuous rapid feedback.

The goal of this talk is to challenge you to rethink the approach to testing through the lens of delivery speed. Fast, reliable, scalable and trustable automated test scripts can partially or even completely replace long and inefficient manual test cases and check lists. By embracing the TestOps discipline, you can unlock a better way of working that harmonizes speed and quality, ensuring that testing becomes a seamless and integral part of the software delivery process and will not create the bottlenecks now and in the future while the application is growing.

• Understanding TestOps role: Explore why TestOps is gradually emerging as an independent discipline, distinct from DevOps, focusing on organizing its own test pipelines with test automation scripts along with the scripts closely integrated in delivery pipelines managed by DevOps teams.
• Faster delivery without sacrificing quality: Learn how TestOps enables organizations to accelerate software delivery while ensuring high-quality outcomes through continuous testing, automation and frequent feedback.
• Rethinking the QA Engineer Role: Discover how the role of QA Engineers evolves in a TestOps-driven environment, shifting from isolated test engineers to active collaborators in the development process and encouraging developers to help in speeding up testing.
• Test Automation and CI/CD Pipelines as Key Elements: See how TestOps relies heavily on test automation and seamless integration into CI/CD pipelines to ensure fast, reliable, and continuous delivery by providing faster feedback.
• AI and TestOps collaboration: Explore how artificial intelligence (AI) can enhance TestOps by advising in pipelines and test scripts creation, helping in debugging occurred issues, in generating test data and in analyzing test reports

Toyer Mamoojee is a seasoned QA professional with expertise in test strategy, automation, agile leadership, and digital transformation across finance, telecom, e-commerce, and more. Proficient in tools like Selenium, Appium, and Cypress.io, he excels in test management, CI/CD, and mentoring, backed by certifications like ISTQB and Scrum Master.

Experienced Executive & Hospitality Technology Consultant

With a Computer Science background and expertise in Hospitality Technology, I drive growth and efficiency by integrating cutting-edge solutions. Specializing in property management and tech-driven optimization, I enhance guest experiences, streamline operations, and reduce costs, delivering sustainable value to hospitality businesses.

Manish Agarwal is a seasoned IT executive with 20+ years of expertise in digital transformation, enterprise architecture, and ERP implementations. He excels in IT strategy, governance, and emerging technologies like AI and cloud computing. A certified professional (CISA, PMP, CEH), he drives innovation, cost optimization, and business excellence.

Linoy Kidd is an award-winning technologist with 18+ years at HSBC across five countries. As MSS CIO of MENAT, she excels in leadership and innovation. A dedicated philanthropist, she has built nine schools globally. Linoy has received multiple accolades for her impact in technology and finance, inspiring change worldwide.