AI has been rapidly changing the way we approach software testing. Traditional test automation is time-consuming to create and breaks down easily in the presence of change. Thankfully, AI is helping testing teams create less procedural, more resilient tests that are able to self-heal in the presence of modern, rapidly changing, highly dynamic production systems. This sounds great, but you may be asking yourself: How do I get started? What additional skills do I need to learn? What tools are available for me to start using, right now? Join Dionny Santiago as he breaks down different AI...
Dionny Santiago
Engineering Manager
Indeed
Dionny Santiago is an Engineering Manager at Indeed and has 12+ years of industry experience working as an SW/QA/ML engineer, software/test architect, and engineering manager. Dionny completed his master's thesis on exploring the intersection between AI and test automation and is currently pursuing a Ph.D. in this problem space. One of Dionny's goals is to advance the current state of the art in software testing through Artificial Intelligence and Machine Learning. He has published and contributed to the design of test specification languages and AI-driven test generation approaches. Dionny also enjoys attending software testing conferences to both learn and share. Dionny is a member of the IEEE Computer Society and the ACM.