Data & Data Culture
Is China Taking the Lead in AI?
Assessments about China’s strengths in AI may be overblown.
Assessments about China’s strengths in AI may be overblown.
Amazon’s recent decision to invest heavily in upskilling may have benefits beyond attracting talent.
Christensen’s Theory of Disruptive Innovation offers insights in an age of big data and tech growth.
Large companies have found that applying the principles of lean is more complicated than expected.
Emotions provide insight into what motivates people and how to improve performance.
Giving customers what they want quickly is a worthy goal. Businesses can’t always afford to do it.
While hierarchy can impede innovation, handled well it can provide important benefits.
Developing-world entrepreneurs need to build networks that compensate for weak public institutions.
A new leadership model advocates organizations built on close relationships, openness, and trust.
The authors of The Business of Platforms outline the myths and pitfalls of platform strategy.
Artificial intelligence may look poised to tackle tricky business decisions — but it only works for certain sorts of problems.
Adobe has transformed itself by embracing the technological forces that could have meant its demise.
Smart contracts using blockchain enable faster, more secure digital agreements.
Unlikely collaborators are teaming up to provide higher-quality, lower-cost services.
The future of AI looks much like the present, with machines helping humans to do their jobs better, not replacing them.
MIT professor Munther Dahleh proposes a marketplace for data that bases the cost of data on the financial value it generates
VR is being used for job training, but it also has the potential to reduce our need to commute.
Today’s best leaders embrace technology as a management tool but retain a human touch, too.
Robots that use body language can have a positive effect on their human colleagues.
Leading teams with complicated hierarchies of power demands both curiosity and humility.