AI-Powered QA: Real Results, Smarter Tools, Practical Plans
In today's fast-moving digital landscape, traditional test automation is no longer enough. Software teams face increasing pressure to support daily releases, complex integrations, and multi-platform experiences - all while ensuring quality at speed. This session explores how artificial intelligence is redefining QA, making testing not just faster but smarter and more strategic.
Attendees will gain a deep understanding of the AI technologies transforming software testing, including machine learning, natural language processing, predictive analytics, and computer vision. You'll see real-world examples of AI in action - reducing defects, accelerating test cycles, and enabling continuous delivery on platforms like Google Cloud. We'll also demystify AI Ops for QA and show how these tools cut through noise, auto-resolve issues, and streamline operations.
Finally, we'll look ahead to autonomous testing, where AI handles the repetitive work and human testers focus on creativity, strategy, and innovation. Whether you're just starting your AI journey or looking to scale, you'll leave with a clear, practical roadmap to bring AI into your QA practice.
Long Trinh
Dr. Long Trinh is the Director of Test Center of Excellence (TCoE) at LogiGear, an AGEST Group company. He spearheads strategies and plans to accomplish Proofs of Concept (PoCs) on time, researches cutting-edge technologies like AI-driven testing, Blockchain testing, IoT testing, etc. and supports DevOps and AIOps initiatives. He also consults on testing solutions for incoming clients and drives training programs across the organization. With over 16 years in the software industry, Dr. Long has pioneered automation frameworks and enhanced product quality for global clients in past roles. His expertise fuels innovative testing solutions and effective team mentorship. Passionate about transforming testing practices through technology, he brings a forward-thinking approach to AGEST's mission.