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There is a broad consensus that AI and Data projects are highly prone to failure. Across the board, management consultancies, AI entrepreneurs, academics and industry executives agree that the vast majority of AI/Data projects fail.

This white paper explores some of the most important pitfalls leading to the failure of AI/Data projects in general, particularly those related to predictive maintenance, and describes a framework developed to avoid those pitfalls.
 
Download our whitepaper to learn more.

DOWNLOAD HERE: