Email management, formatting documents, creating expense reports. These are just some of the time-sinks that can affect your productivity at work. At Google, 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 study in 2015, the average worker spends only about 5% of his or her time actually coming up with the next big idea. The rest of our time is caught in the quicksand of formatting, tracking, analysis or other mundane tasks. That’s where machine learning can help.
Machine learning algorithms observe …Read More
Latest posts by Michael Cropper (see all)
- Understanding the Difference Between BIOS Boot Modes Legacy VS UEFI - August 31, 2021
- Election Day Ballot Box Results Using Agile Delivery Methodology - May 6, 2021
- How to Setup Let’s Encrypt on AWS EC2 Using Amazon Linux 2 - May 2, 2021