IBM's Institute for Business Value (IBV) debunked five of the most prevalent AI myths by highlighting relevant insights and practical examples from interviews with individuals involved in deep-learning projects from over 35 real-life artificial intelligence (AI) implementations around the globe. They allow a peek behind the curtain—a virtual check-in with peers—as organizations seek to increase AI’s impact and value.

• Myth 1: AI is a one-size-fits-all proposition
• Myth 2: If it isn’t deep learning, it isn’t real AI
• Myth 3: Cost reduction is AI’s sweet spot
• Myth 4: Shortcuts don’t work in AI
• Myth 5: AI only delivers value for the problem at hand

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