How machine learning boosts productivity

May 15th, 2017
How machine learning boosts productivity

If you’ve been using G Suite applications and noticing your apps anticipating your next action, there’s nothing to worry about. It’s not spyware in action, but G Suite’s machine learning algorithm predicting your next steps based on your usage patterns. Machine learning capabilities are designed to protect Gmail users against spam, while also improving workflow. Read on to find out how it does both.

What ‘machine learning’ does

Like a trustworthy assistant, machine learning anticipates logical next steps to your tasks. For instance, it might suggest Docs or other apps, launch apps, schedule meetings, or manage your email based on your habits.

For example, if you're using Google Sheets to track employee performance, the "+Explore" button in the bottom right of the screen can help reveal subtle trends. The machine learning that powers this function doesn't just analyze written data, it can also help you find the best image layout and settings. Aside from providing you with useful insights, this function also helps format and design your file.

Increased productivity

Working on an office productivity platform that is capable of suggesting apps may not seem like much. But since the average worker allots plenty of time doing routine tasks -- such as launching apps, searching and downloading files, and sorting email -- having a smart tool that makes sensible suggestions never hurts.

The machine learning-enabled Quick Access function predicts the file you want to open based on your recent activities and interactions within the Google environment. Google Drive’s search function is a good way to locate a file you need to work on, but as many users know, searching unsorted files and messy folder structures can cause an inconvenient amount of delay.

Greatly reduced spam

Managing email is a tedious task that demands a couple hours of your day, every day. There are many email management apps you can use, and although they’re worth your money and effort, sometimes all you need is a highly efficient spam detector.

Because of its machine learning capabilities, Gmail spam detection currently has an accuracy rate of 99%. This means virtually no spam in your inbox and a reduced exposure to malware-laden email. Another way Gmail users can save time is through Smart Reply, a feature that suggests possible responses to emails you receive. Google is currently working to improve Smart Reply’s responses so that they’re more accurate and less generic.

Google applications are handy office tools perfect for businesses that require anywhere, anytime access to their files and apps, as well as constant collaboration with colleagues. There’s more to learn about G Suite and similar platforms that might just be what your business needs. Call us today for recommendations.

Published with permission from TechAdvisory.org. Source.