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 April 30, 2017 - May 6, 2017

NPR: The Digital Industrial Revolution

Whether you consider the changes that are occurring the Fourth Industrial Revolution, or the Digital Industrial Revolution, the rise of artificial intelligence, or refer to these changes as something else; call them what you want be the change is real.

Sometimes it is hard to separate the science-fiction from the science-fact. But not differentiating fiction from fact can lead you down the wrong path. There is also a risk of using the strategy of ignoring change.

The NPR program TED Radio Hour has an episode, The Digital Industrial Revolution, that helps you understand your future which is rapidly arriving.

There is one very, very important point that this radio program is getting right that most people get wrong.  Technical people tend to overstate the capabilities of technology, business professionals tend to under estimate the impact of technology.

Who is the world chess champion today; a computer or a human?  In 1997, IBM's Deep Blue took the title.

Today, a computer is no longer the world chess champion.  Neither is a human. Today, a team of computers and humans working together can beat any computer or any human working alone.

That is how the power of computers will be harnessed; by human and computer teamwork.  Human are good at some tasks; not as good at other tasks.  Computers are good at some tasks; not as good at other tasks.  Teaming humans and computers together and leveraging the strengths of each is how work will get done in the future.

The revolution will likely impact you sooner than you might believe.

A report created by the DATA Foundation and Deloitte, DATA Act 2022: Changing Technology, Changing Culture, predicts the following:

By 2022, if all goes well, spending information will also be automated: reported, exchanged, and audited without manual interference. Systems will deliver reports instantly; grantee and contractor software will communicate automatically with agency and government-wide systems.

2022 is only five years away. Federal government spending information "reported, exchanged, and audited without manual interference" in five years.  We will see.

What might XBRL-based financial reporting by public companies to the SEC look like in five years?  Financial reports are sets of complex logical information. Knowledge based systems are helpful tools for creating those financial reports and using the complex logical information contained in the reports.

Learning how to work effectively with you new teammates is important. Leveraging available tools properly can help you change old processes into new, improved processes.

Posted on Thursday, May 4, 2017 at 07:16AM by Registered CommenterCharlie in | CommentsPost a Comment | EmailEmail | PrintPrint

Understanding Knowledge Based Systems

I am collecting my thoughts which I will use to explain what a knowledge based system is.

Simply put,

knowledge based system is a system that draws upon the knowledge of human experts that has been represented in machine-readable form and stored in a fact database and knowledge base. The system applies problem solving logic using a problem solving method to solve problems that normally would require human effort and thought to solve. The knowledge based system supplies an explanation and justification mechanism to support conclusions reached by the knowledge base system and presents that information to the user of the system.

What I am trying to do is convey this information such that the information is understandable by the average business professional.  The challenge is that the average business professional does not have an adequate background in computer science to understand how such a system works.  I am trying to explain how knowledge based systems work.  Not sure if that is necessary, but if I were trying to understand this stuff; I would want to understand how it all worked so that I could get a good understanding of the true capabilities.

Any feedback, suggestions, corrections, or other comments are welcomed.

More to come...stay tuned.

Posted on Wednesday, May 3, 2017 at 05:06PM by Registered CommenterCharlie in | CommentsPost a Comment | EmailEmail | PrintPrint