AI-Driven Testing: Boosting Software Quality and Speed
In today's fast-paced tech environment, traditional testing struggles to keep up with the complexity and speed of modern applications. This presentation explores how AI-driven testing transforms quality assurance with intelligent automation and analytics. We'll cover AI technologies like Computer Vision and GenAI, and their application in test case generation, defect root cause analysis, and automation optimization. Real-world examples will show how AI enhances test coverage, reduces time-to-market, and improves software reliability. Attendees will learn how to integrate AI into testing processes to accelerate innovation and improve quality.
Mason Henry
Mason Henry is a Solutions Consultant and the Functional Testing Practice Leader at Open Text. With over 12 years of experience in AI/ML, Cloud, DevOps, and large-scale software testing solutions across industries like Financial Services, Banking, and Pharmaceuticals, Mason specializes in enabling teams to Plan, Build, Test, Deliver, and Run complex applications and has a strong focus on quality assurance and continuous testing processes. He excels in working with QA teams to design and implement robust test architectures, integrate CI/CD pipelines, and automate testing workflows to ensure high software quality.