AI & Machine Learning
An Executive Guide to the Summer 2019 Issue
MIT SMR‘s Summer 2019 issue takes a closer look at the cultural changes adopting AI may require.
Read about talent in the digital age in this issue.
MIT SMR‘s Summer 2019 issue takes a closer look at the cultural changes adopting AI may require.
To adopt intelligent technologies, companies need to develop both the right tools and human capital.
Cognitive speed bumps in AI design can prompt users to engage in reflective thought.
AI can help you choose, measure, and prioritize the KPIs informing your strategy.
Five capabilities and four practices help companies generate business value from AI applications.
A new leadership model advocates organizations built on close relationships, openness, and trust.
As managers get older, they are more likely to work through others and focus on the big picture.
Smart machines can help pick crops and reduce traffic — but what’s their impact on privacy?
Here’s a pragmatic framework for blending the best of the past with your ambitions for the future.
In the race for jobs, the capacity for leisure can give humans a surprising edge.
You can create significant value by buying troubled businesses and fixing them up. Here’s how.
Organizations need algorithmic smarts to excel in the future of work.
Tech CEOs claim few job losses when hiring from the H-1B visa pool. That’s not the whole story.
A conversation with Accenture researchers on recent advances in artificial intelligence and what’s to come.
Leaders who establish broad ties to their communities have deeper resources in times of hardship.
Three impediments in particular work against agile adoption in most organizations.