BLOG: Digital Financial Reporting
This is a blog for information relating to digital financial reporting. This blog is basically my "lab notebook" for experimenting and learning about XBRL-based digital financial reporting. This is my brain storming platform. This is where I think out loud (i.e. publicly) about digital financial reporting. This information is for innovators and early adopters who are ushering in a new era of accounting, reporting, auditing, and analysis in a digital environment.
Much of the information contained in this blog is synthasized, summarized, condensed, better organized and articulated in my book XBRL for Dummies and in the chapters of Intelligent XBRL-based Digital Financial Reporting. If you have any questions, feel free to contact me.
Entries from July 21, 2019 - July 27, 2019
Updated US GAAP Financial Report Ontology Prototype
I have made a bunch of updates to the US GAAP Financial Report Ontology. Have a look at Topics, Disclosures, Templates, Examples, References, Networks, Classes, Reporting Styles, Fundamental Accounting Concepts, and Consistency.
I am not quite sure what to do with Properties yet. Still thinking about that. Aiso, I do need to show a list of Elements; but that is straight forward other than the fact that one needs to deal with the fact that there are 14,000 or so elements in total.
More to come so stay tuned!
Not quite sure why all this is important? You might want to check out Artificial Intelligence and Knowledge Engineering Basics in a Nutshell.




Artificial Intelligence and Knowledge Engineering Basics in a Nutshell
Artificial Intelligence and Knowledge Engineering Basics in a Nutshell summarizes into one place all the things what I wish I would have known 20 years ago when I started working with XBRL.
If you want to become a master craftsmen, you need this understanding.
I have not been able to find a resource that explains artificial intelligence adequately. I have not been able to find a resource that explains knowledge engineering basics in a manner that is approachable by a business professional. I have not been able to find a resource that explains the connection between artificial intelligence and knowledge engineering. This 45 page resource provides all three of those things.
With 50% failure rate of artificial intelligence related projects implemented within the enterprise; you might want to consider investing in understanding this new, important capability.



