As Google pushes further and further into enterprise services, it’s looking to leverage what it’s known for — a strong expertise in machine learning — to power some of the most common enterprise functions, including contact centers.
Now Google is applying a lot of those learnings in a bunch of new updates for its contact center tools. That’s basically leaning on a key focus Google has, which is using machine learning for natural language recognition and image recognition. Those tools have natural applications in enterprises, especially those looking to spin up the kinds of tools that larger companies have with complex customer service requests and niche tools. Today’s updates, announced at the Google Cloud Next conference, include a suite of AI tools for its Google Cloud Contact Center.
Today the company said it is releasing a couple of updates to its Dialogflow tools, including a new one called phone gateway, which helps companies automatically assign a working phone number to a virtual agent. The company says you can begin taking those calls in “less than a minute” without infrastructure, with the rest of the machine learning-powered functions like speech recognition and natural language understanding managed by Google.
Google is adding AI-powered tools to the contact center with agent assistant tools, which can quickly pull in with relevant information, like suggested articles. It also has an update to its analytics tools, which lets companies sift through historical audio data to pull in trends — like common calls and complaints. One application here would be to be able to spot some confusing update or a broken tool based on a high volume of complaints, and that helps companies get a handle on what’s happening without a ton of overhead.
Other new tools include sentiment analysis, correcting spelling mistakes, tools to understand unstructured documents within a company like knowledge base articles — streaming that into Dialogflow. Dialogflow is also getting native audio response.