Annual Reviews, MIT Golub Center for Finance and Policy (GCFP) and NYU Stern will convene to present new review articles focused on the 2008 financial crisis.

Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.

Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.

Employee analytics are being used by organizations in new ways. A focus on dignity improves data management and reinforces leaders’ respect for workers.

Launching artificial intelligence initiatives can be a daunting task. Start with these five data monetization capabilities.

Many AI programs do not generate business gains. New research finds the key to success is scientific, application, and stakeholder consistency.

Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.

Here’s how executives and senior managers can become effective and savvy champions of the data produced by their organizations.

Most companies comprehend the impact data has on business strategy. Fewer understand how to convert data efforts into monetary value.

Organizations need to create a culture in which all employees see data as their business.