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Artificial Intelligence: The Insights You Need from Harvard Business Review (HBR Insights) Artificial Intelligence: The Insights You Need from Harvard Business Review by Harvard Business Review
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“value, I can do three things,” he says. “I can improve the algorithm itself, make it more sophisticated. I can throw more and better data at the algorithm so that the existing code produces better results. And I can change the speed of experimentation to get more results faster. “We focused on data and speed, not on a better algorithm.” Candela describes this decision as “dramatic” and “hard.” Computer scientists, especially academic-minded ones, are rewarded for inventing new algorithms or improving existing ones. A better statistical model is the goal. Getting cited in a journal is validation. Wowing your peers gives you cred. It requires a shift in thinking to get those engineers to focus on business impact before optimal statistical model. He thinks many companies are making the mistake of structuring their efforts around building the best algorithms, or hiring developers who claim to have the best algorithms, because that’s how many AI developers think.”
Harvard Business Review, Artificial Intelligence: The Insights You Need from Harvard Business Review
“Over the next decade, AI won’t replace managers, but managers who use AI will replace those who don’t.”
Harvard Business Review, Artificial Intelligence: The Insights You Need from Harvard Business Review