Cloud AutoML: Making AI accessible to every business

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. Our Google Cloud AI team has been making good progress towards this goal. In 2017, we introduced Google Cloud Machine Learning Engine, to help developers with machine learning expertise easily build ML models that work on any type of data, of any size. We showed how modern machine learning services, i.e., APIs--including Vision, Speech, NLP, Translation and Dialogflow--could be built upon pre-trained models to bring unmatched scale and speed to business applications.