Risk Management

The data science management process, job moves for pay equity, and political concerns in M&As.

When managing a merger, pay attention to political disparities.

Anticipating and withstanding cyberattacks — cyber resilience — must become a companywide concern.

In our new spring issue: platform-based ecosystems, blockchain, data failures, and misbehaving leaders.

Understanding the subconscious drivers of strategy, responding to regulatory risks, and making sense of conflicting advice.

Platform companies should act quickly to temper regulation that erodes network effects.

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

Organizations need to develop more-robust processes to ensure responsible use of AI.

Boards will need increased technology fluency to provide adequate oversight of AI risk management.

Data-driven culture, ethics and compliance standards for pandemic aid, and effective global operations.

Companies offering aid in a crisis must clarify the ethical and legal ramifications of their actions.

Leaders’ implicit biases toward new technology can cause them to make poor investment decisions.

Risk mitigation is an important new priority for business operations during the pandemic.

The ease with which consumers have adapted to rapid change signals a future of more disruption.

Companies put themselves at risk by making four key mistakes with corporate social responsibility.

Employers could use surveillance tools — with constraints — to keep workers safe and healthy.

The disruption triggered by the pandemic is rich with opportunities to fundamentally improve how we live.

Innovators need to develop their innovation capital so they can turn their ideas into reality.

Shareholders and stakeholders, data science’s pandemic shift, and combating workplace discrimination.

Identify which stakeholders will create long-term value for shareholders.