Summary
One breakthrough of AI is deep learning: a branch of machine learning that can uncannily identify objects in images, recognize voices, and create other predictive models by analyzing enterprise data. Deep learning can use regular CPUs, but for serious enterprise projects, data science teams must use AI chips such as GPUs that can handle massively parallel workloads to train and retrain models on large data sets more quickly. This report helps I&O professionals understand their AI infrastructure options — chips, systems, and cloud — to execute on deep learning.
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