Inexperienced

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Why are so many AI projects destined for failure? Inexperienced staff, poor planning, and a shoehorned approach to agile development are all stifling innovation

AI projects fail because of technical challenges, people misunderstanding what’s possible, and agile development, according to research from the RAND institute. Research cited by RAND suggests as many as 80% of AI projects fail — that’s twice the rate of other technology projects and a serious problem for the industry given the costs involved with AI. RAND notes that the…