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 ]

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 ]

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.

An Executive’s Guide to the Internet of Things

The rate of adoption is accelerating. Here are six things you need to know.

Are You Ready for the Era of ‘Big Data’?

Radical customization, constant experimentation, and novel business models will be new hallmarks of competition as companies capture and analyze huge volumes of data. Here’s what you should know.

The Next Step in Open Innovation

The creation of knowledge, products, and services by online communities of companies and consumers is still in its earliest stages. Who knows where it will lead?