Business Process Optimization

AI is a powerful tool for innovation when leaders communicate its benefits.

Bridge-building for business and data teams, responsible AI practices, and smart time management.

To better align data teams with business operations, a new organizational structure is needed.

The 2020 Culture Champions, adept crisis response, and how social media reveals our mental health.

Three strategies lead to technology transformations that create value and enable ongoing innovation.

Executed well, good data governance can fuel digital innovation without compromising security.

Returning “boomerang” CEOs, job crafting, and working with robots.

Despite advances in automation, good people and good techniques remain essential to manual work.

No amount of tech investment can outweigh closing the human performance gap — the best defense against cyberattacks.

AI strategy will only get big results if companies focus on what AI can do at scale.

Using systematic processes to prototype, test, and launch ideas can help you scale agile benefits.

Major makeovers should benefit — and be noticed by — those who buy a company’s products and services.

Companies should focus organizational energy on hypothesis testing rather than on goal setting.

Travel marketers need to recognize and embrace analytical sophistication.

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.

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

Executives in the automotive sector believe that machine learning can help them achieve their marketing goals, but that doesn’t necessarily mean they invest in that ambition.

Organizations need to focus on how blockchain can be used to support their unique strategies.

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

While executives agree that cognitive technologies are a disruptive force, few companies have a strategy to address them.