Creating expense reports, Email management, formatting documents: Your time is caught in the quicksand of formatting, tracking, analysis or other mundane tasks. These are just some of the time-sinks that can affect your—and your employees’—productivity at work. At Google Cloud, this is referred to as “overhead”—time spent working on tasks that do not directly relate to creative output—and it happens a lot.
According to a Google Cloud study, the average worker spends only about 5 percent of his or her time actually coming up with the next big idea.
That’s where machine learning can help.
Machine learning algorithms observe examples and make predictions based on data. In G Suite—Google Cloud’s collaboration and productivity platform—machine learning models make your workday more efficient by taking over menial tasks, like scheduling meetings, or by predicting information you might need and surfacing it for you.
“Smart Reply, (in Gmail) for example, uses machine learning to generate three natural language responses to an email. So if you find yourself on the road or pressed for time and in need of a quick way to clear your inbox, let Smart Reply do it for you,” says Sunil Tewari, Head of Technology and Business Services, Dalmia Bharat.