Topic – AI-Powered Data-Driven Testing: Insights to Action

In today’s fast-paced software development environment, delivering high-quality products at speed is more critical than ever. With the increasing complexity of applications, traditional quality assurance (QA) practices often struggle to keep up with the growing volume of test data and the need for quick, actionable insights. As software systems become more intricate, manual testing methods and rule-based test automation struggle to handle the scale and precision required for effective testing. In response to these challenges, AI has emerged as a transformative force in data-driven testing, providing solutions that optimize testing workflows and deliver more reliable results with greater efficiency.

This session will explore the power of AI in revolutionizing data-driven testing and how it can be leveraged to streamline test data preparation and predict potential defects before they occur. Attendees will gain insight into how cutting-edge AI technologies—such as TensorFlow, Tricentis Tosca, and Selenium—are integrated into testing pipelines to enable smarter, faster decision-making. By combining AI with data management tools like SQL and visualization platforms such as Power BI or Tableau, testers can now uncover patterns, make informed decisions, and drive actionable insights that were previously difficult or impossible to achieve.