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6 Stumbling Blocks for Successful AI Projects
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Even at the start of AI projects, a lot can go wrong, which throws the projects back significantly later or even condemns them to failure. HTEC, a global developer of customer-specific hardware and software solutions, mentions typical errors. The success of AI projects depends crucially on companies already clarifying in advance which problems they want to solve with data and AI, and defining specific project goals. This is necessary to ensure t…
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