Data & Analytics P. 1

Organizations that struggle to gain payback from data science efforts can recognize and overcome five common obstacles.

Data accessibility must be managed from the start of AI projects in order to be implemented in production.

Collecting and analyzing the right employee data can help leaders build more equitable workplaces.

Recommendation engines promise to revolutionize how customers buy and employees work.      

Companies that change processes to facilitate organizational learning with AI realize the biggest business value.

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

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.