Google has introduced a new cloud toolkit called Cloud AutoML, to make machine learning (ML) and artificial intelligence (AI) accessible to every business across the globe.
Although Google Cloud AI has been making progress with over 10K businesses using it, including Rolls Royce Marine, Box and Ocado, but still, there’s a lot more that’s being done at Google for AI advancements. Only a limited number of enterprises across the globe have access to budget and talent required to benefit from the ML and AI advancements. Still, those who have ML/AI resources find the process of building custom ML model complicated and time consuming.
Google’s Cloud AutoML will address this problem by providing modern techniques like learning2learn and transfer learning, which will enable developers to be more productive and build AI systems with minimal expertise.
“Currently, only a handful of businesses in the world have access to the talent and budgets needed to fully appreciate the advancements of ML and AI. There’s a very limited number of people that can create advanced machine learning models. And if you’re one of the companies that has access to ML/AI engineers, you still have to manage the time-intensive and complicated process of building your own custom ML model. While Google has offered pre-trained machine learning models via APIs that perform specific tasks, there’s still a long road ahead if we want to bring AI to everyone,” wrote Fei-Fei Li, Chief Scientist, Google Cloud Platform in a blog post.
A collaboration between Google Brain and Google AI teams resulted in AutoML Vision, the first product under development in AutoML toolkit. With its simple, secure, and flexible ML services, AutoML Vision will enable training of custom ML models.
Since AutoML offers simple graphical user interface (GUI), the developers can train, evaluate and deploy models based on their own content and data.
Google has used its image recognition technology (transfer learning and neural architecture search) in Cloud AutoML, so that enterprises can achieve high performance on public datasets like CIFAR and ImageNet. The images can be uploaded, trained and managed easily using drag and drop interface. Further they can be deployed directly on Google Cloud.
Google said that Cloud AutoML is completely integrated with Google Cloud Services, so that users can constantly access all the services including Google Cloud Storage, Vision VPI, and online prediction service of Cloud ML Engine.
Disney Consumer Products and Interactive Media, Zoological Society of London and Urban Outfitters have already started using Cloud AutoML.