Choosing the image using real time images in medical procedures interpreting machine output training machines. On new Hong Kong Email Address technologies and employing judgment that may lead to overriding the prediction machine’s recommendation. In short prediction machines will replace humans in some tasks but they are unlikely to replace them in entire jobs. As interesting as all this is the question of what the typical business leader should do about AI remains. Happily in the latter half of Prediction Machines the authors offer some answers. First the authors address AI’s ramifications for operations. If you around during the heyday of reengineering. This advice sound very familiar to you.
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Just as computers enabled companies to gulf email list undertake the clean-slate redesign of processes and jobs, so too will AI drive a new round of reengineering. “AI tools can change work flows in two ways,” say the authors. First they can render tasks obsolete and therefore remove. Them from work flows. Second, they can add new tasks.” To see this process in action, the authors point to Goldman Sachs’s CFO, R. Martin Chavez. Who started his career in computing science and outspoken about the future of investment banking. Many of the 146 distinct tasks in the initial public offering process begging to automated Chavez said. Second, the authors offer guidelines for executives who are considering the strategic ramifications of AI.
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They name three ingredients that cause AI to rise to the level of strategic consideration. A strategic dilemma or trade-off exists. The dilemma can resolved by reducing uncertainty and an AI tool can used to reduce. The uncertainty enough to change the balance in the dilemma. To see this in action, the authors take us back to the hypothetical Amazon example. The strategic dilemma lies in the fact that a shipping-then-shopping business model may generate more returns than sales. The dilemma resolved by further reducing. The uncertainties of customer demand. And a prediction machine could enable Amazon to eliminate enough of that uncertainty to make that new model viable. Voilà, AI becomes a strategic enabler.
