How should organizations organize for and implement artificial intelligence?

Working all the time is not a badge of honor — it’s dysfunctional and a sign that something isn’t going right in your job or organization. This article looks at three simple strategies to combat martyrdom and burnout in the modern workplace.

This month’s MIT SMR Strategy Forum poll looks at the space economy, which some estimate could reach $1 trillion in 20 years. We asked our panel of strategy experts to evaluate whether commercial activity in space will see a boon in the next decade, or if this bet on the final frontier is off the mark.

Companies can turn AI hype into operational hay by developing their capacity for enterprise cognitive computing. This capacity entails five capabilities: data science competence, business domain proficiency, enterprise architecture expertise, an operational IT backbone, and digital inquisitiveness. The capabilities shape and are shaped by four practices: identifying use cases, managing application learning, cocreating applications, and thinking “cognitive.”

Mastering technology is not the only criteria for success in the modern marketing era — the right people and processes must also be put in place to properly develop, manage, and nurture the benefits of emerging tools. To be successful in the digital era, marketers should adopt the best new modern practices as well as rethink and refine classic approaches.

Recent efforts and concerns to protect the privacy of users’ data, while admirable, do not go far enough. Innovators and leaders must consider how new technology will be monitored to protect against potential harmful and irreversible effects.

At the 2019 gathering of the World Economic Forum, much of the conversation was about the need for re-skilling and inclusive education, and the ongoing gender gap in the world of technology. Lynda Gratton, a professor of management practice at London Business School, attended the Davos conference as a steward of the World Economic Forum Council on Work, Education and Gender, and shares her insights from the meeting.

AI has considerable potential as a crystal ball to predict, but prediction is inherently more difficult than detection — and may have a much lower ROI for businesses.

The Netflix-ification of KPI dashboards is dramatically changing how organizations can engage with and align performance metrics to drive better business outcomes.

Platform companies continue to surprise and challenge conventional approaches to creating value. The 2018 MIT Platform Strategy Summit brought together innovative leaders who are playing a major role in the changing digital economy. Learn from their experience with five major principles for creating new value with platforms.

With a new scrutiny around technology user data and privacy, we must not forget about the potential dangers of the technology itself.

Technology companies, such as Facebook, often fail to make crisis management a central feature of their operations, thanks to five blind spots to which they are especially susceptible. Recognizing these shortcomings is the first imperative; the next is developing a well-designed crisis-management program that includes several key features. All tech companies should take heed, because failing to reflect — and then act — can worsen the consequences of crises that come down the pike.

In 2016, MIT Sloan Management Review website visitors gravitated toward new articles about the management implications of technology-driven trends such as the internet of things, analytics, and artificial intelligence. They also showed significant interest in articles related to setting strategy in times of rapid change. But the most popular new article by far was about a timeless topic: meaning in their work.

An inquiry into the design ethics of apps; making the business case for predictive analytics; 3D printing enters the business mainstream.