Michael Chui, James Manyika, and Mehdi Miremadi
It can be difficult to discern how a mathematical model trained by deep learning arrives at a particular prediction, recommendation, or decision. A black box, even one that does what it’s supposed to, may have limited utility, especially where the predictions or decisions impact society and hold ramifications that can affect individual well-being. In such cases, users sometimes need to know the “whys” behind the … [ Read more ]
Content: Quotation | Authors: James Manyika, Mehdi Miremadi, Michael Chui | Source: McKinsey Quarterly | Subject: IT / Technology / E-Business
What AI Can and Can’t Do (Yet) for Your Business
As recent McKinsey Global Institute research indicates, there’s a yawning divide between leaders and laggards in the application of AI both across and within sectors. Executives hoping to narrow the gap must be able to address AI in an informed way. In other words, they need to understand not just where AI can boost innovation, insight, and decision making; lead to revenue growth; and capture … [ Read more ]
Content: Article | Authors: James Manyika, Mehdi Miremadi, Michael Chui | Source: McKinsey Quarterly | Subject: IT / Technology / E-Business
Four Fundamentals of Workplace Automation
As the automation of physical and knowledge work advances, many jobs will be redefined rather than eliminated—at least in the short term.
Content: Article | Authors: James Manyika, Mehdi Miremadi, Michael Chui | Source: McKinsey Quarterly | Subject: Economics