Talent Acquisition and Management

There has been a huge demand for data scientists in the past decade. Is that about to change?

Data-wrapping techniques, building diverse AI teams, and communicating with empathy and authority.

Computer scientists typically lead AI development, but teams with diverse expertise can build better systems.

Automation anxiety is a distraction. The bigger issue is blue-collar job growth amid labor scarcity.

Research examined how innovation and technology are changing how we strategize, lead, and create.

The most effective use of AI: Symbiotic systems enabling humans and AI to work to their strengths.

To solve the issue of advanced analytics talent concentration, companies need to think creatively.

The skills, processes, and frameworks that can help managers lead through times of uncertainty and disruption.

To make gender equality a reality, organizations need to look at values, not priorities.

Elite soccer academies are using analytics to help identify future star talent in the schoolyard.

Organizations need algorithmic smarts to excel in the future of work.

A conversation with Accenture researchers on recent advances in artificial intelligence and what’s to come.

A webinar examines recent innovations in digital talent identification.

A look at 1990s hockey defender Larry Murphy holds lessons for team building.

Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.

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?