Stuart Maclean | Published November 8, 2018
In this installment of AI Myth Buster for Developers, I bust the myth that it takes ages to create a machine learning model.
Using Watson Studio and the integrated Watson Knowledge Catalog, I search for and find an input data asset and add it to my collaborative project environment. I use that data asset in Watson Studio’s auto model builder GUI, to build, train and deploy a machine learning model (without code) in under 10 minutes.
How can you use IBM Watson Studio to infuse AI into your business and drive innovation? Give it a try here: http://www.ibm.com/cloud/watson-studio
Take a look at how the Model Asset eXchange works.
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