This will re-position the testing and quality organizations to not be the last part of what happens, but to providing valuable insights and actionable data for your C-Suite to drive business decisions.
The value of machine learning is rooted in its ability to create models that guide future actions and to discover patterns missed by the naked eye. Machine learning methods are vastly superior in analyzing potential customer churn across data from multiple sources such as transactional, social media, and CRM sources.
Developers continue inventing new technologies to build Web applications. They automatically generate code and markup, and asynchronously load data. And this creates new technical challenges for Web UI test automation.