Data, AI, & Machine Learning

Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.

Streamlined metrics can get people moving in the same direction and improve business performance.

The internet giants control vast stores of data — and that may limit innovation at other companies.

When we rely on machines to make decisions, we substitute data-driven calculations for human judgment.

To address algorithms’ potential harm, companies must be willing to focus on users and rethink their business models.

The benefits of artificial intelligence go well beyond improved efficiency and decision-making. AI can also improve organizational effectiveness and strengthen teams and enterprise cultures.

AI techniques can generate training data that retains the predictive power of real-world data.

New research shows that an individual’s decision-making style informs the choices they make when using AI-based inputs.

Retailers should analyze customers’ preferences before deciding how to optimize their delivery networks.

In-store technology promises a better customer experience — and fuel for improved retail analytics.