Triaging test failures remains a key activity in quality assurance (QA). This labor-intensive work requires a lot of experience specific to the project. Emerging availability of data and AI technologies present an opportunity to simplify this familiar work in a brand-new way. In this talk, designed for QA/developer productivity leaders and practitioners, we'll discuss what is being done (and what is being considered) when leveraging data and AI technologies to lessen the burden of QA and make the process more efficient.