Google Revamps AI Services to Empower Developers
AI technology is evolving fast. The cutting edge tech is becoming more advanced every year and more ingrained in our daily lives.
It’s a field filled with endless possibility, from advanced chatbots to image recognition and digital assistants, and businesses and marketers everywhere are transforming the tech into something usable and revolutionary.#Google is unveiling new #AI tools and improving on some of its existing ones this week. Read on for more details... #marketingtools Click To Tweet
Google has long been a leader in providing accessible AI tools to countless industries and the company has just announced that it is offering new products and enhancing others. These new products and improvements will undoubtedly make AI more mainstream and help the people who use it flourish.
Cloud AutoML and Dialogflow Improvements
Cloud AutoML Vision, Natural Language, and Translation are available now in beta and new improvements to Dialogflow Enterprise Edition are also ready to go in beta. More notably, Google has released a new solution, Contact Center AI, that is now available in alpha.
Cloud AutoML was initially announced back in January and it was created to make AI more accessible. Specifically, it was designed for businesses with minimal AI or coding experience to create ML models for their specific domain needs.
Cloud AutoML vision, a powerful tool that can identify new image categories, arrived first and has been available for alpha users since January. AutoML vision has several uses for marketers.
For example, a hotel chain can train the model to recognize exterior and interior features so prospective guests can simply search by saying ‘outside pools’ and the chain will pop up with images of the pool.
AutoML vision is now in public beta and new tools Google AutoML translation and natural language will be in beta as well.
AutoML translation enables users to upload translated language pairs to create their own custom translation model. AutoML natural language will give Google customers the ability to automatically predict custom text categories specific to their domains.
This can help a marketing strategy by giving consumers the ability to filter out specific words or topics in blog posts, guides, and press releases, to name a few.
Google has also made significant improvements to its Dialogflow Enterprise Edition product, introduced last November and currently in wide use. Specifically, Google is improving the products Cloud Speech-to-Text capability by bolstering it with new Text to Speech Features via DeepMind’s WaveNet and the Dialogflow Phone Gateway for telephony integration.
Google Launches Contact Center AI
While Google has created extensive improvements to the above products, the company is eagerly promoting its new, human-centered, Contact Center AI.
“When a call is placed, the caller is immediately greeted by a Virtual Agent that answers questions and fulfills tasks all on its own. When a caller’s needs surpass the Virtual Agent, it transitions to a human representative.
From there, the system shifts to a supporting role whereby Contact Center AI’s Agent Assist system supports the conversation and provides the agent with relevant information.”
The solution utilizes Dialogflow’s Knowledge Connectors, an assistive tech, to ensure contact center agents are given the most relevant and useful solutions for customers.
By combining AI virtual assistants and human representatives, the new contact center is more adaptable for consumers.
The company has also stated that the solution complies with current data privacy regulations, an affirmation that has become incredibly vital these days. Google has also said that people talking to the virtual agent will be made aware that they are talking to a bot.
More information about the Contact Center and the other AI improvements will roll out within the upcoming weeks. We’ll keep you informed as to whether or not these products will have a measurable impact on marketing efforts.
How do you think marketers can utilize these new AI solutions? Share your ideas in the comments and we’ll feature our favorites on Twitter and LinkedIn.