In a recent article for Bloomberg, legal analyst Kate Azevedo provides some keen insights into the US Securities and Exchange’s (SEC) expanded use of XBRL tagging to enhance enforcement.
In the era of artificial intelligence (AI), there is a growing interest in the use of AI models like ChatGPT to enhance financial reporting processes. However, it is crucial to recognise the importance of structured, machine-readable data in training AI models effectively.
The recently passed Financial Disclosure Transparency Act (FDTA) requires the US Securities and Exchange Commission (SEC) and other regulators to adopt data standards for — inter alia — municipal data collection and reporting. Although the act passed in December 2022, the details of implementation are still a work in progress.
The US Financial Accounting Standards Board (FASB) and Governmental Accounting Standards Board (GASB) are looking into the ways in which investors are using artificial intelligence (AI) to consume and analyse financial data.
XBRL US has this week announced the publication of corporate sustainability data in Inline XBRL format by two companies: Moody’s Corporation and Etsy, Inc.
It has been a busy week in responses to the Securities and Exchange Commission (SEC) for XBRL US.
Did you catch November’s excellent keynote speech from Commissioner Caroline Crenshaw of the US Securities and Exchange Commission (SEC) at the XBRL US Investor Forum 2021: Data that Delivers?
This year’s XBRL US Investor Forum has been and gone – and if you missed it live you can now catch up via video, even if not registered for the event.
“The bottom line is that XBRL makes data more useful,” says SEC Commissioner Caroline Crenshaw
On 10 November, XBRL US held its online Investor Forum 2021: Data that Delivers, held in partnership with Baruch College’s Zicklin School of Business, CFA Institute and CFA Society New York.