In today’s generative world of intelligence, we need to be cognizant of the fact that the tools and techniques related to software testing have undergone a major transformation. In this proposed session, I talk about the power of GEN AI tools in context of testing and how these can be leveraged to enhance the Value of Testing. During the proposed session, I will use the power of RISE model (developed by Emily Wray) and use this to help it reimagine and reconstruct our Testing Value Equation.
RISE is a famous model which has 4 critical elements of RISE (R- Reflect | I-Inquire, S-Suggest, E-Elevate) to it, and in the proposed topic we will leverage them to enhance value of our Testing.

• Participants will get a clear understanding of the neo Testing based approach needed for a successful Digital Transformation initiative
• Participants will realize the importance of Faster Time to Market and its impact on Business using the Power of GEN AI for testing
• Get an understanding of Testing Strategy to be deployed for Digital Transformation initiatives

Despite making significant investments in test automation, many organizations find it difficult to reap the true rewards. Instead of facilitating agility, tests become flaky, slow, and a bottleneck. Addressing these issues requires leadership, not only from a technical standpoint but also by influencing strategy, culture, and mindset.
The main topics of this presentation will be the reasons why test automation initiatives frequently fall short in Agile settings and the actions that leaders (such as test managers, agile coaches, and quality champions) can do to improve the situation.

• For Leaders: Test automation facilitates agility rather than acting as a stand-alone function.
• For testers: Pay attention to test approach rather than scripting alone.
• For Agile teams should transition from an emphasis with automated coverage to a constant quality focus.
• For Everyone: Don’t simply measure automation statistics; measure quality outcomes.

Most teams believe automated testing makes DevOps faster, but in reality, poorly planned automation can slow everything down. In this presentation, we will explore the biggest mistakes QA teams make and how to avoid them. I will tell how to choose the right tests, use AI to speed up testing, and build a reliable test strategy that works with CI/CD. I will share real-world examples and practical steps to make automated testing a true DevOps enabler. The presentation will enable you to rethink test automation and make it a driver of speed and quality in software development.

• Automating everything is a mistake—test automation should be strategic. Prioritize unit and API tests over slow, flaky UI tests and integrate automation smartly into CI/CD pipelines.
• AI-powered testing and smart test selection can reduce execution time. Instead of running all tests, leverage AI to predict which tests need to run, cutting regression cycles by up to significant percentage.
• DevOps testing isn’t just about execution—it’s about stability and confidence. Use techniques like contract testing, chaos testing, and parallel execution to ensure faster, reliable releases without bottlenecks.

Neeta Sonawane is a seasoned IT leader with 19+ years of expertise in engineering, project/program management, AWS/GCP cloud, and team leadership. She excels in automation, testing, stakeholder collaboration, Agile/SAFe methodologies, and business transformation. A skilled speaker, she has successfully led technical and managerial initiatives, ensuring seamless project execution.

As a Director at Fidelity Investments, I bring 19+ years of expertise in product management, leadership, and client relations. Passionate about innovation, I excel in software development, testing, and automation. With ISTQB, NCFM, and ScrumMaster® certifications, I drive efficiency and reliability while adapting to evolving industry needs.