Briefing
|
- Cloud AutoML – Google introduced Cloud AutoML, new toolset that enables businesses with limited expertise to create custom machine learning models using advanced techniques
- Cloud AutoML Vision – Released Cloud AutoML Vision, machine learning service specifically for building image recognition models
- Easy-to-Use – Designed with drag-and-drop interface that lets users easily upload images, and train, manage, and deploy models directly on Google Cloud
- Accurate – Found to be more accurate than generic machine learning APIs at classifying public datasets, like ImageNet and CIFAR
- Initial Customers – Include Disney, Urban Outfitters, and Zoological Society of London
- Next Steps – Plans to introduce machine learning tools for speech, translation, and natural language processing in 2018
|
Accelerator
|
|
Business Model and Practices
Business Model and Practices
|
|
Sector
|
Information Technology
|
Organization
|
Google Inc.
|
Source
|
-
Li, F. and Li, J., "Cloud AutoML: Making AI accessible to every business",
-
Novet, J., "Google hopes to draw more cloud customers by making A.I. easier to use",
-
Redrup, Y., "Google to make AI accessible to all businesses with Cloud AutoML",
-
AcceleratingBiz analysis
|
Original Publication Date
|
January 17, 2018
|