Google's AutoML And BigQuery ML: The Rise Of One-Click Hyperscale Machine Learning

Two of the greatest obstacles to getting started with today's deep learning systems have been the lack of truly "point and click" interfaces to creating new models and the immense complexities in scaling machine learning workflows to the production scales businesses work with. While there are tools that make creating new models more straightforward than writing reams of code, few permit the creation of truly production-grade systems built upon transfer learning from some of the world's largest training datasets and bleeding edge algorithms and automated tuning workflows. Similarly, building massive scalable robust machine learning pipelines can be done with many different tools today, but the process is far from a point-and-click experience or a few lines of code. Google's announcements over the last few years offer a glimpse into how the cloud is transforming the AI workflow experience. Google's approach to enabling one-click creation of state-of-the-art deep learning models can be seen through in its AutoML series of products.