Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype
Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype
The field of artificial intelligence, data science and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions: data driven.
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The field of artificial intelligence, data science and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions: data driven.
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