Data, AI, & Machine Learning

It may make sense to start AI efforts with isolated experiments, but new structures are needed to reap broader benefits.

Hackers can use generative AI to plan more effective attacks, but companies can use it to strengthen their cyberdefenses.

The delegation of managerial functions to algorithms transforms management practices.

Understanding how AI algorithms are trained and validated can help decision makers pick the right tools and avoid risk.

Based on their research, the authors share four key ways companies can advance their strategic data-sharing initiatives.

It’s impossible to abolish AI bias in the data behind artificial intelligence models, but companies can remediate it.

Artificial intelligence is quietly improving the management of data, including its quality and security.

New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.

Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.