Managing Technology

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

Burdened by an overabundance of KPIs, the health care sector can look to machine learning to force a focus on the metrics that matter most.

Getting business value from AI means separating myths from facts.

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

Retailers can avoid displacement and connect with customers by focusing on digital experience.

Done right, automation can be a win for everyone — even workers.

Banks need a clear AI strategy to get digital transformation right.

Businesses that make and sell products that replicate human connection are serving a deep need, but they may also be changing social norms in ways that can’t be reversed.

Leaders seeking to initiate digital change must model the behaviors they want to see.

Makers of AI applications should stop overpromising, be transparent, and consider certification.

One key strategy for AI success: retraining employees to have the skills your company will need.

Retail companies that neglect machine learning do so at their peril.

Digital customer service platforms offer better service when they use customer-centric language.

Properly orchestrated, cybersecurity can reduce costs and increase revenue.

Research has exploded the myth that Twitter is an “echo chamber” — with implications for marketing.

As KPI dashboards evolve, they’re transforming how executives manage themselves.

Anonymous digital dialogues with employees can help managers build trust and increase engagement.

“Flight simulators” to prepare managers for cyberattacks lead to better cybersecurity decisions.

The intersection between what’s possible and what’s desired is where a business will succeed.

Balancing discovery with execution is the key to successful digital innovation.