Many companies meet with difficulties at the time of implementing Artificial Intelligence processes. The first step in the implementation of such processes is the choice of the correct Deep Learning method which is followed by the choice of an adequate software. This is not the most challenging part of the task, although these two components can degenerate in a poorly implemented process; the biggest challenge still lies in the preparation of data.
According to the International Data Corporation (IDC), the data preparation process is a bottleneck for businesses. The loss of time starts from the very beginning when data have to be prepared and continues through the training process and the optimization of training-related infrastructure, leading to months of preparation and resulting in the inefficiency of businesses and organizations.
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