Analytics

Employees should know how generative artificial intelligence works, how companies are using it, and how it compares to other advanced analytics tools.

Chief data officers are preparing for generative AI while continuing to work on other data initiatives, according to a new survey.

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

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

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

Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting.

Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.

No. 1: Taking responsibility for analytics and artificial intelligence.

Chief data officers are focused on data governance and creating a data-driven culture, according to a new survey report written by Tom Davenport.

From MIT Sloan, how to apply the tools of modern data science, optimization, and machine learning to solve real-world business problems.