Analytics Hardware Retail Tuning 
O'Reilly
OCTOBER 11, 2022
Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. The data available to our retail business is much more limited.
All Things Distributed
NOVEMBER 30, 2016
Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.
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