Do you have access to lots and lots of test, development, app, and service data—really big data—from client and cloud service log files, test execution results, and more? Then, you have a great opportunity to begin using data analytics and machine learning (ML) to gain new product quality insights. Bring your laptops and your sense of discovery as Eun Chang introduce analysis techniques and ML tools to help you develop new and potentially groundbreaking insights. First, she will present a fast-paced statistics primer for those with no prior data exploration experience and others looking...
Ken Johnston
Microsoft
Ken Johnston is a frequent keynote presenter, trainer, blogger, and author on software testing and data science. Currently he is the principal data science manager for the Microsoft 360 Business Intelligence Group (M360 BIG). Since joining Microsoft in 1998 Johnston has shipped many products, including Commerce Server, Office 365, Bing Local and Segments, and Windows. For two and a half years he served as the Microsoft director of test excellence. He earned his MBA from the University of Washington, is a coauthor of How We Test Software at Microsoft, and is a contributing author to Experiences of Test Automation: Case Studies of Software Test Automation. You can contact him through Twitter @rkjohnston or read his blogs on data science management on LinkedIn.