Enterprise adoption of AI is on the rise globally, yet its effect on profitability varies widely. According to a recent survey, only 8 percent of organizations attribute 20 percent or more of their earnings before interest and taxes (EBIT) to AI. Despite this potential, many AI projects face challenges that hinder their success. These obstacles include delays in getting started, inadequate AI infrastructure and tools, low data scientist productivity, and difficulties in managing costs.

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