To make AI accessible to every business, businesses with limited ML expertise can leverage Cloud AutoML to start building their own high-quality custom models by leveraging advanced techniques like learning2learn and transfer learning from Google.
Both Lis explained how Cloud AutoML will help more organisations reap the benefits of AI: "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".
"Cloud AutoML's technology is helping us build vision models to annotate our products with Disney characters, product categories, and colors".
Several companies have been testing AutoML for the past few months.
Cloud AutoML does this by offering users a simple graphical interface for training their own machine learning model. For example, a clothes manufacturer may want to feed Google's cloud pictures of t-shirts, sweaters, skirts, and so on, to create a system that can identify different types of clothing in stock.
Sophie Maxwell, the conservation charity's technology lead, said Cloud AutoML is assisting with the society's research into the geographical spread of wildlife populations around the world, and how these are being affected by external factors, such as human-related impacts.
Next, the user presses the big blue "TRAIN" button on the screen.
The new set of services is called Cloud AutoML, and later on Wednesday Google is expected to announce that it's ready to open the service up to a select number of users. Instead, Google is opting for a system where it handles all of the hard work and trains and tunes your model for you.
Google didn't disclose what additional Google AutoML services it will introduce in the future. AI building blocks for text, speech, video, vision can be provided by our machine learning APIs.
The team's first tool will be dubbed Cloud AutoML Vision. It's unclear how Google plans to monetize AutoML at this point. Specifically, it's looking to "automate the product attribution process by recognizing nuanced product characteristics like patterns and neckline styles", says Urban Outfitters Data Scientist Alan Rosenwinkel. A Vision model built into Disney's search engine on its website aims to improve the ability to search and discover products in the Disney store. "The millions of images captured by these devices are then manually analysed and annotated with the relevant species, such as elephants, lions and giraffes, which is a labour-intensive and expensive process", she said.
While the company has made some progress on this front, Li said the skills that businesses need to really take advantage of AI and machine learning are still in short supply.