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Data preparation as it is applied to deep learning is a topic under discussion these days, as data engineers and scientists try out new machine methods for prediction. In comparison to garden-variety BI, deep learning applications can require significant pre-processing. This became clear as the Talking Data crew ventured out to cover the Re.Work Deep Learning Summit 2017 in Boston. Catch the latest, and subscribe to our iTunes feed, for free home delivery of potent podcasts. Let us know: What obstacles do you foresee for deep learning data handling in your organization?