Big data is going nowhere. Its vast amounts of usage, especially in the music industry, continue to bring new ways of utilizing this information. Google, being a little late to the game it seems, is finally rolling out software updates in order to take full advantage of the predictive listening analysis movement.
“To provide even richer music recommendations based on Google’s understanding of your world, we’ve plugged into the contextual tools that power Google products,” wrote Elias Roman, Google Play Music’s lead product manager, in a blog post. “Your workout music is front and center as you walk into the gym, a sunset soundtrack appears just as the sky goes pink, and tunes for focusing turn up at the library.”
This move will hopefully help to distinguish Google Play Music from its competitors in the streaming revolution. By using its vast amount of services including YouTube, their search engine, what music you’ve listened to, whether that’s what you keep going back to or an album that you just checked out as well as machine learning from data sets such as time of day and activities being partook in, their goal is to provide an overall better experience for their listeners.
Also, Google announced that they are updating the look for their Play Music home screen as well as adding a new feature to offline listening by automatically having tunes you’ve recently been listening synced to an offline playlist.
“As long as you remember to charge your phone, you’ll have your favorite tunes, even if you forgot to download them ahead of time,” wrote Roman.
Via: IT World
