suite make people
How machine learning in G Suite makes people more productive
One of the earliest machine learning use cases for G Suite was within Gmail. Historically, Gmail used a rule-based system, which meant our anti-spam team would create new rules to match individual spam patterns. Over a decade of using this process, we improved spam detection accuracy to 99%. Starting in 2014, our team augmented this rule-based system to generate rules using machine learning algorithms instead, taking spam detection one step further. Now, we use Tensor Flow and other machine learning to continually regenerate the "spam filter," so the system has learned to predict which emails are most likely junk.