Talent Acquisition and Management

Sports analytics shows that the best performance enhancer is sleep.

A Twitter chat featuring Ben Alamar examines how sports analytics can inform companies’ use of data.

What if, instead of perpetuating harmful biases, AI helped us overcome them?

Digital tools are making the hiring process easier and more precise — despite their limitations.

Why do losing teams often out-perform winners at the box office?

Would NBA teams make fewer draft mistakes if they measured basketball IQ?

Leaders at the forefront of making organizations AI-driven have seven key attributes.

One university president doesn’t feel colleges adequately prepare students to join the workforce in today’s digital era but cites one way his institution is helping its student body.

HR’s move away from traditional performance reviews is a mistake that will backfire.

Today’s best leaders embrace technology as a management tool but retain a human touch, too.

Video: Two of the biggest barriers to corporate adoption of AI are access to talent and usable data.

Companies focusing on technology are missing a key driver of digital transformation: talent.

With digital skills in short supply, companies must rethink the ways they engage with key talent.

It pays to ask yourself whether your job is common and repetitive enough to be done by a machine.

The value of enterprise-level AI depends on what an organization’s people do with it.

An infographic provides highlights of the MIT SMR/Deloitte Digital 2017 digital business report.

Some companies are using assessment tools to help identify employees with leadership potential.

Western multinationals looking for East Asian leaders may need to explore their cultural biases.

Talent management processes need a digital update, too.

As demand for big data technologies grows, so does the problem of finding sufficient skills.