Called Cloud AutoML, the set of services gives businesses automated AI building tools. They can then create machine learning-infused services without a detailed understanding of the underlying tech. Cloud AutoML consumes data supplied by the business to automatically generate a machine learning model. This is then optimised to suit the dataset and begin producing further results. The initial release of the platform will include one service, Cloud AutoML Vision.

Google today announced a new cloud service that's designed to make it easier for companies to create custom machine learning algorithms for processing images. Called Cloud AutoML Vision, the system allows developers to upload a bunch of images to Google's cloud and receive a custom model in return.

Google is boosting its AI-as-a-service offerings this week, most notably with the alpha release of a new Contact Center AI solution. Contact Center AI is built around its Dialogflow development suite for conversational agents, which was launched last fall and already in wide use. Dialogflow Enterprise Edition now has the ability to build AI-powered virtual agents for contact centers, a Phone Gateway for taking calls without infrastructure, Knowledge Connectors for understanding unstructured data like FAQs and Sentiment Analysis. In Contact Center AI, a Virtual Agent first answers the call and handles it if possible. If not, it passes the call to a human representative, who is helped by an Agent Assist system that continues to monitor the call and provide supporting info as needed.

Google yesterday announced the the launch of their Cloud AutoML platform. It's primary aim is to help businesses with limited resources and expertise, streamline and build high-quality machine learning models.

When we both joined Google Cloud just over a year ago, we embarked on a mission to democratize AI. Our goal was to lower the barrier of entry and make AI available to the largest possible community of developers, researchers and businesses.