Reinventing the Art of Software Testing with Google Cloud AI Platform

This session explores the innovative ways to approach and revolutionize the art software testing by harnessing the full power of Google Cloud AI Platform. Utilizing AI-powered regression testing and natural language processing (NLP) capabilities, developers can automate mundane and repetitive tests while also analyzing software functionality and usability. Predictive analytics and custom machine learning models can be used to anticipate and identify potential issues, improve testing efficiency, and provide actionable insights. Applying reinforcement learning algorithms for GUI testing, data validation testing, and exploratory testing, and neural network-based anomaly detection systems improve testing accuracy and efficacy, while reducing human errors. By leveraging Google Cloud AI Platform, software development teams can create a more robust and efficient software testing process, delivering high-quality software applications faster and more cost-effectively with greater accuracy, ensuring the software products meet the required industry quality standards.