Point of View

Artificial intelligence thrives on structured data.

AI shines when given access to richly contextualized, standardized, structured data and identifiers.

While Large Language Models (LLMs) can source any kind of data, structured or unstructured, for financial analysis and research that demands a high degree of accuracy, structure and standardization are crucial.

California: Digital First Climate Data

To meet the goals of climate initiatives worldwide requires governments to understand the impact of industry on the environment. This can only be accomplished through standardized, digital data that is concretely understood, timely, and consistently prepared to foster a shared understanding of the current state of climate risk and to monitor changes going forward.

Academic Resources

Looking for resources to help students and colleagues understand the most significant development in accounting since double entry?

The XBRL US Academic Subcommittee is sharing materials designed to provide an overview of standardized data, generate discussion about its benefits as a research tool and get deep in the data with case studies, tools and scripts for analyzing data submitted to US and European regulators.

Engage

Public company accountants, financial service professionals, data providers, technologists, federal regulators and a growing number of industry groups view XBRL as an important component of transparency in the markets. These organizations support the business reporting standard by collaborating on XBRL US initiatives with other like-minded organizations and individuals. Learn about membership options for individuals and organizations and get started today.