Data, AI, & Machine Learning

People are complex. We need a more nuanced approach to predicting job performance.

Organizations can use analytics to help employees chart a path for growth and advancement.

Confirming what people already believe can sometimes help organizations overcome barriers to change.

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.

To achieve greater returns on their machine-learning investments, aspirational travel marketers need to recognize and embrace even more analytical sophistication.

Digital Strategy Guide Companies are looking to artificial intelligence to create business value. This collection of articles from MIT Sloan Management Review examines how early implementers are positioning themselves to reap the benefits of AI at scale — while managing the human side of using the technology.

Digital Strategy Guide Big data can support smarter operations, but only when companies embrace the basics of understanding what it is they want to measure, how they want to measure, and how they can keep the data secure. This collection of articles from MIT Sloan Management Review examines how companies are forging new business processes with the use of data and analytics.

Are the benefits of data sharing with platforms worth the long-term price?

Australian social service agencies are taking the lead in using bots to improve services.

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