Articles

Researchers are exploring how to create intelligent machines that work with us better as opposed to taking our place. Robots that can express human body language can have a positive effect on their human colleagues, enabling them to be more effective at their jobs, take on higher-level tasks, and realize psychological benefits. The overall result is a more productive human-robot team.

The patent system and the standards system, which have together kindled a generation of unparalleled technological advancement, are being wrongly targeted as impediments to future progress. Public policies aimed at weakening the patent and standards systems risk stalling the pace of technological advancement.

New emotion-sensing technologies can help employees make better decisions, improve concentration, alleviate stress, and adopt healthier and more productive work styles. But companies must address important privacy issues.

Considering the increasing pace of technological change and volatility in many industries, the need for corporate transformation is rising. Unfortunately, the chance of successfully achieving it is falling.

Research indicates that the reason women aren’t making more rapid inroads on corporate boards is that few have reached the most influential board leadership positions. Although more women are on boards now than 10 years ago, very few have been promoted to a post that would give them influence beyond their seat at the table.

It’s common practice to develop a handful of strategic priorities to focus strategy — but formulated correctly, they’re also useful communication tools for both internal and external stakeholders. Clear, credible priorities linked to explicit metrics offer a framework for assessing progress toward the company’s goals, in a way that abstractions like vision or mission cannot.

Today’s retailers need to adopt a data-driven view — with the goal of understanding how website features and advances in AI will affect consumer behavior.

Technology has made business more globally connected than ever before. This is especially true for innovation projects, where diverse experts bring their specialized knowledge to play. But there’s a hitch: Many of today’s team projects have built-in hurdles because of differing communication styles, cultures, and professional norms. Leading this kind of “extreme teaming,” which often involves complicated hierarchies of power, demands both curiosity and humility.

Many executives are enthusiastic about the business potential of machine learning applications. But business leaders often overlook a key issue: To fully unlock the benefits of artificial intelligence, you’ll need to upgrade your people’s skills — and build an empowered, AI-savvy workforce.