Exploring Non-ChatGPT Ways to Use AI in Testing
Artificial intelligence and machine learning tools like ChatGPT are bringing AI to the public. The goal and purpose of code generation and refactoring tools like GitHub’s Co-Pilot are evident. However, it may not be as obvious to tell which tools are specifically tailored for testing and quality engineering. Join Carlos Kidman as he compares multiple AI/ML tools and practical applications that testers and quality engineers can use right now. You’ll discover AI for functional testing solutions and tools for test data management. While not all of these tools are free, this session will give you an opportunity to see them in action and learn about their practical utility. Walk away with a list of multiple AI/ML for testing tools and how to apply them so that you can understand the different problems they solve and how efficiency, productivity, and overall testing can be improved by applying AI right now! Carlos believes that AI won't replace testers, but that you should equip yourself with how to leverage AI to make testing and quality better.
Carlos Kidman is a Director of Engineering at Qualiti but was formerly an Engineering Manager at Adobe. He is also an instructor at Test Automation University with courses around architecture, design, containerization, and Machine Learning. He is the founder of QA at the Point, which is the Testing and Quality Community in Utah, and does consulting, workshops, and speaking events all over the world. He streams programming and other tech topics on Twitch, has a YouTube channel, builds open-source software like Pylenium and PyClinic, and is an ML/AI practitioner. He loves fútbol, anime, gaming, and spending time with his wife and kids.