Google brings its Smart Reply feature to Hangouts Chat for G Suite, the workplace messaging workstation platform. This feature is similar to Gmail's Smart Response and uses Machine Learning to suggest three different answers to chat conversations. The feature is now being introduced to workstations that either run extremely efficiently or come to a standstill.
Google is committed to using its smart helper tools in its products. There's Smart Compose in Gmail, which automatically suggests phrases in the text of your e-mail as you type, and Smart Reply in Gmail, which has short phrases that you can click to automatically reply to e-mails. These tools will be everywhere, and it's a sign that Google is driving AI as an integral part of doing business.
In particular, Smart Reply has been extensively reviewed to find answers that are inappropriate or unclear about the tone and context of an email, and it would be interesting to see how the tool is used on a chat platform, where there are even fewer characters to convey a message. The way we write lyrics says a lot about our personality, and everything from capitalizing to adding a period to the end of your sentences is a decision that matters to some people. "Sure." Sounds very different from the more reserved "safe" and could mean the difference between someone who thinks you're crazy and someone who thinks you're very cool and cool.
Today's news only applies to the Hangouts Chat for G-Suite, so you probably will not see it in Gmail soon. However, Hangouts chat for consumers is in a transitional state since it rumored that the service would end in 2020, as Google is trying to figure out what to do with its many messaging apps. The company has made it clear that Hangouts chat will be available to consumers, but it could be a product other than Hangouts as it exists today.
We've contacted Google to clarify if the feature provides answers to the user's own voice or the overall language of the team. Please, make me happy with this extreme thought experiment, but I can imagine that if the tool gathers enough data about the conversation habits of a whole job, it might eventually be enough that people simply click on buttons and form a platform that only bots consists of bots. Again, this would either lead to a highly efficient or totally incompetent company.