Top-performing companies invest in CEO-level data leadership, data value realization, and data resource life-cycle measurement.
MIT Institute Professor Daron Acemoglu predicts that artificial intelligence will have a “nontrivial, but modest” effect on GDP in the next decade.
Launching a venture? Here’s advice from MIT entrepreneurs in residence on navigating artificial intelligence, the economy, and uncertainty.
Universities can seed regional economic growth by attracting and training top talent who go on to file patents and found local companies, a new study shows.
And why. Plus, an inclusive innovation scorecard.
Automation replaces experts in some occupations while augmenting expertise in others, according to a new MIT study.
A new study finds that working with artificial intelligence boosted efficiency and reporting quality. But human expertise still matters.
The new arrivals are experts in data privacy, global economics, management, and consumer attention.
Stalled projects and workarounds cause chaos in too many organizations. Dynamic work design offers a way to address this through continuous, hands-on problem-solving.
The biggest obstacle to organization-wide AI innovation is not the technology itself, but whether organizations support the hidden work employees perform to develop AI solutions at scale.
