Articles

Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.

Checking assumptions and mapping out work processes can help ensure that ML solutions fit the job to be done.

The natural language capabilities of LLMs can augment the predictive powers of advanced analytics.

Gaining value from data assets that include customers’ personal information requires advanced data protection tactics.

Leaders’ direct involvement and presence in all stages of a workforce reduction helps maintain trust and mitigate harm.

No one can predict the future, but modularizing core capabilities can prepare companies to be ready for the unexpected.

An employee’s health crisis can deeply impact their colleagues. Managers must be prepared to offer appropriate supports.

Taking a whole-life cycle perspective on products enables companies to get more value from materials and resources and do better on sustainability measures.

Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.

Selling value requires more than quantifying benefits. It demands a deep commitment to collaborating with customers.