Risk Management

Code reuse is common, but leaders must be aware of potential vulnerabilities to mitigate exposure to risk.

Lessons and insights from past cyberattacks can help companies prepare and respond more successfully to future threats.

Stanley Black & Decker’s CTO discusses responsible and sustainable AI and how the company uses AI to innovate.

To reduce ethical lapses, organizations need systems for anticipation and systems for resilience.

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.

JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.

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.