AI-enriched KPIs, known as smart KPIs, can better guide organizations toward key business goals.

Data leaders are focusing on customer experience analytics, external data, and using data to meet equity and inclusion goals.

An AI productivity boom is coming. Here’s what managers need to know to roll out intelligent technology that’s ethical and worker-centric.

On February 20, some of the world’s greatest minds will gather at MIT’s world renowned Media Lab for the 2016 MIT Tech Conference: The Rise of Artificial Intelligence.

Nobel laureate Simon Johnson says that AI can be an equalizing force, but warns that new technology does not automatically benefit everyone.

Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.

Artificial intelligence has the ability to transform finance, but caution is needed, says the SEC chair. Here are four of Gensler’s takeaways.

The use of artificial intelligence to create art raises questions about how credit and responsibility should be allocated.

‘We should probably relax about this,’ MIT professor says.

Machine learning pioneer Andrew Ng argues that focusing on the quality of data fueling AI systems will help unlock its full power.