Data, AI, & Machine Learning

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.

Developments in enabling technology are opening up more use cases for virtual models of real-world objects.

New research highlights nine key factors impeding organizations’ ability to advance their data science progress.

To monetize data, companies must first transform it so it can be reused and recombined to create new value.

Monolithic, highly interdependent organizations can become modular ones by embracing microservices.

Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.

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