Digital Financial Reporting

The AI Ladder, by Rob Thomas and published by O'Reilly Media, is by far the best resource that I have run across related to getting your head around artificial intelligence.  Here is a summary of why AI projects fail:

• Lack of understanding. 81% of business leaders to not understand AI.
• Bad data. Not having a handle on your data is completely paralyzing.  Your AI is only going to be as good as your data.
• Lack of the right skills. The lack of the right skills on part of both business professionals and information technology professionals is problematic.
• Trust. Trusting the recommendations made by your artificial intelligence software is a must.  AI should not be a black box, business professionals need justification mechanisms that support conclusions.
• Culture. The Technology Fallacy points out that digital transformation involves changes to organizational dynamics and how work gets done.  AI will enable entirely new business models which were impossible in the past.

AI is hard work. Getting AI right involves the right tools, the right skills, and the right mindset.  Artificial Intelligence and Knowlege Engineering in a Nutshell can help you navigate AI and help you avoid the snake oil salesment.  If you understand AI, then you will likely understand the connection between AI and global standards like XBRL.