Motorola developed a new product and used machine learning to automatically analyze logs from users and customers to identify software bugs and suspicious behaviors. The system was trained over multiple weeks to improve its ability to accurately predict bugs and filter out false positives and negatives. Keywords were identified that helped determine whether issues were actual bugs or non-bugs, with some keywords like "tethering" being 92% accurate predictors of bugs.