When you spend more than eight hours a day staring at a computer screen, it can be easy to lose focus on important tasks. While you can access some of the most useful applications through your computer, an ever-growing number of distractions are vying for your attention.

Office 365 has dozens of productivity-boosting tools that it can sometimes be difficult to keep up with all of them. One you may have overlooked is MyAnalytics, a machine learning-based tool to help you get more out of your employees' work day.
What is MyAnalytics?
MyAnalytics apply machine learning technology to your employees’ Office 365 data.

You are probably already aware of Cortana, the Windows 10 AI personal assistant. Did you know that you can use it to improve the efficiency and productivity of your business? With a better understanding of its basic functions, you'll be on your way to becoming an AI-powered organization.

There are only so many hours in the workday, so making the most of your time is vital. If distracting websites, unorganized files, and cluttered inboxes prevent you from getting work done, consider using these tips to better manage your time and stay productive at work.

Success is not just about putting in the hours, but also being adaptive and investing in the right tools to improve outputs. Keeping work confined to the office might have been adequate years ago, but not anymore. Today’s workforce is now more mobile than ever, which is why businesses are turning to remote access solutions.

Machine learning is all the rage nowadays, and few vendors are providing as many solutions powered by this new technology as is Microsoft. In its latest release, Office 365 includes “intelligent” functionality for analyzing your employee’s time and coaching them on how to use it more efficiently.

Recently, Amazon Web Services (AWS) announced the creation of a new data analytics tool to lighten the burden on businesses when analyzing data in the cloud. This tool, referred to as “Glue,” is meant to clean up and organize data that comes into the cloud from various sources so that it can be analyzed by business intelligence software and data analytics experts.