The company introduced a new tool – Cloud AutoML – on Wednesday meant to make it easier to deploy AI in business applications. Disney and Urban Outfitters have already put this into practice to make search and shopping on their websites more rewarding.
Cloud AutoML starts with image recognition, allowing customers to drag in images and subsequently task their operating systems to recognize the pics on Google's cloud. The idea behind it is to put together AI and the machine learning technology that Google has been working on for the past two decades and bring the top-notch development to the masses.
Great to see that Google is now offering their #DeepLearning architecture search as a cloud service now: https://t.co/TSX6fHiRt5
— Randy Olson (@randal_olson) 17 января 2018 г.
However, I still think they're doing the #AutoML field a major disservice by calling their service "AutoML." Confuses many people. #MachineLearning pic.twitter.com/Gk3RIXAgPL
This is basically a service provided for a fee that makes it faster and easier to create custom machine-learning models for image recognition, be it for a nature preservation website or online shopping and services portal.
"We believe Cloud AutoML will make AI experts even more productive, advance new fields in AI and help less-skilled engineers build powerful AI systems they previously only dreamed of," Jia Li, head of research and development for Google's cloud AI unit, and Fei-Fei Li, the group's chief scientist, wrote in a blog post.
To me, it looks like @googleresearch either:
— Randy Olson (@randal_olson) 17 января 2018 г.
a) is ignorant of what #AutoML really is and doesn't know better, or
b) is choosing to exploit a trending research field by naming one of their cloud products after it.
Disappointing either way.https://t.co/D5VDopRISC
Cloud AutoML is a big big deal. https://t.co/KnxhEmiVIr
— Clay Bavor (@claybavor) 17 января 2018 г.
Google is the third cloud company to introduce such an AI-related tool. Last May, Microsoft introduced a service for customizing hands-on image recognition models, closely followed by Amazon’s SageMaker, designed to build individual AI models.
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