Machine Learning

Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.

Travel marketers need to recognize and embrace analytical sophistication.

An industry executive and a scholar discuss how AI-based tools can transform the retail business.

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

Northwestern Mutual has found that KPIs are necessary for the future of marketing.

Data-driven decision-making comes with challenges and opportunities, says GoDaddy’s chief revenue officer.

Executives in the automotive sector believe that machine learning can help them achieve their marketing goals, but that doesn’t necessarily mean they invest in that ambition.

Consulting is vulnerable to technology and market forces that are disrupting services everywhere.

Businesses are redefining how they create value, says MIT SMR’s 2018 Strategic Measurement study.

Using AI to create humanlike computers is a shortsighted goal.

The fundamental disruption introduced by AlphaZero’s hyperlearning in the chess world can teach business executives about AI.

Machine learning is susceptible to unintended biases that require careful planning to avoid.

Video: Two of the biggest barriers to corporate adoption of AI are access to talent and usable data.

AI systems can now make accurate, independent decisions — but they still need human inputs.

A global survey finds that AI is delivering value to companies that use it across operations.

Identifying the optimal prices for products was once a time-consuming process. That’s changing.

The best path to AI is to establish a foundation in capturing, preparing, and analyzing data.

The 2017 Artificial Intelligence and Business Strategy Report offers companies a starting point for developing an AI strategy.

AI offers a potential solution to the problem of training employees how to find and use data.

A featured excerpt from The Mathematical Corporation by Josh Sullivan and Angela Zutavern.