Google brings the Smart Response feature to the Hangouts Chat for G Suite, its workplace notification platform. The feature is similar to smart answers in Gmail, and uses machine learning to suggest three different responses to conversations that occur in Chat. The function now rolls out to jobs that are now running extremely efficiently or stopped silent.
Google is committed to putting its intelligent tools for use in its products. It's Smart Compose in Gmail, which automatically suggests phrases in your body as you type, and Smart Gmail Answers, which provide short sentences that you can click to respond automatically to email. These tools should begin to appear everywhere, and it is a sign that Google drives AI as an important part of the business.
Particularly smart answers have been especially examined to suggest unsuitable or incomplete answers to the tone and context of an email and it would be interesting to see the tool to be used on a chat platform where it there are even fewer characters to convey a message. The way the text says a lot about our personality and everything from capitalization to adding a period to the end of your sentences is a choice that is important for some people. "Sure." Sounds a lot different than the more busy "for sure" and it can mean the difference between someone who thinks you're angry and someone who thinks you're very chill and fun.
Today's news is only applicable to Hangouts Chat for G Package, so you probably will not see this in Gmail anytime soon. However, Hangouts Chat for Consumers has been in transition since it was rumored that the service should end in 2020 when Google tries to figure out what to do with its many messaging apps. The company has clarified that Hangouts Chat will be available to consumers, but it may be another product from Hangouts as it exists today.
We've come to Google to clarify whether the feature will trigger responses from the user's own voice, or from the entire team's language usage. Feel good at humor in this extreme thought experiment, but I think if the tool collects enough data on a whole workplace of communication habits, eventually it might be knowledgeable where people could just click on buttons on each other and make a platform completely out of bots just talking to crush. Again, it would either make for a very efficient business or a completely incompetent.