Although we’re still a few decades out from seeing most businesses and industries use artificial intelligence (AI) in their operations, there is certainly greater adoption than there has been in years past.

The Great Resignation continues to have a major effect on the talent and skills shortage in the job market. People are still leaving their jobs at an unprecedented rate.

The pandemic forced leaders to reconcile with the need for effective hybrid and remote team management strategies, including in performance evaluations.

Business is changing at a faster rate than ever before, forcing companies to find ways to adapt and pivot. Keeping the entire organization aligned with current goals can be a daunting task, but surviving and thriving depends on it.

A record number of employees have or plan to quit. Already hobbled by the pandemic, businesses are now looking for new ways to balance investment in talent attraction, professional development, and finding tools to increase productivity.

According to the CDC, approximately one out of six Americans are diagnosed with foodborne diseases each year.

The pandemic promises ongoing challenges for healthcare providers in 2022 as they cope with nursing shortages and cybersecurity threats amid shifts previously underway for the industry.

All too often the topic of fixing dirty data is neglected in the plethora of online media covering artificial intelligence (AI), data science, and analytics. This is wrong for many reasons.

Machine learning has the potential to drastically improve efficiency and the quality of care in hospitals by tackling hard-to-predict problems like ICU occupancy or which patients are likely to be readmitted.

About 3.5 million people have at least temporarily left the U.S. workforce since March 2020.