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.

Decontextualize data and prepare data assets that can be reused for many purposes. A new book from MIT CISR researchers explains how.

Sharing data within a company is vital to creating value. Curated content, designated channels, and repeatable controls are the ways to achieve "data sharing 2.0."

Companies like Fidelity Investments are creating data assets that are integrated, easily consumable, and ready to be monetized.

Five steps toward a critical mass of directors who understand.

Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.