Data, AI, & Machine Learning

Boards will need increased technology fluency to provide adequate oversight of AI risk management. 

Organizational leaders can begin to address racial discrimination in the workplace by taking strategic actions.

The U.S. needs a robust program, with professional management of the data supply chain, to develop trustworthy data about pandemics and other public health crises.

By better integrating human and device intelligence, we can foster collective intelligence.

Employers could use surveillance tools — with constraints — to keep workers safe and healthy.

Opportunity marketplaces sustain employment, reveal untapped worker capabilities, and motivate workers in new ways.

Big data mining is no longer enough. Data exchanges will shape new economic ecosystems.

It’s early in the age of experimentation — and the right time to start building expertise.

To launch successful products that delight customers, companies need a new approach to data analytics.

Assessments about China’s strengths in AI may be overblown.