Talent Acquisition and Management

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.

Companies that overlook their employees as sources of strategic insight may find themselves losing talent — and key ideas.

Companies need to be aware of — and take action to mitigate — pay inequity in the hiring process.

There’s no single formula for making work meaningful — but poor management is a universal obstacle.

Operational excellence requires cultivating an expectation for continuous improvement in all employees.

The problem of the domineering corporate headquarters resonates with executives of multinationals.

Most employees want to work for digitally savvy companies — and many are unhappy with their company’s digital maturity.

An animated infographic illustrates the key stats from MIT SMR’s 2015 data and analytics report.

With the explosion of new technologies comes a new universe of data — and Epsilon is helping businesses navigate it.