Archive for the ‘Data Science’ Category

The merging of computer security and crypto-mining

January 7, 2022

I think it’s a great idea to merge cryptocurrency mining with other more consumer friendly software applications.  It just makes sense.  Its slightly incongruous to merge crypto-mining with computer security software, but the main idea is the same.  Some circumstances come to mind.  First it is a way to get your software application to “pay for itself”.  In theory, you could use any money (crypto or conventional) that you make to offset the cost of the software package/platform.  The more successful you become at mining, the closer to zero the net cost of the extended package will become.  It could even produce a positive income stream in your favor so that your software package becomes a profit (instead of cost) center for you.  Secondly it is an avenue to make crypto currency mining more democratized and within reach of less and less sophisticated users, which after all has been the trajectory of personal computing for the past 50 years anyway.  And, thirdly it is a strategy for third party software companies to stay in the game and not be relegated to the backwaters of the computing world by making themselves more relevant to modern computing trends.

Full Stack Data Science. Next wave in incorporating AI into the corporation.

October 22, 2019

I like the concept of “Full Stack Data Science”, especially the way the author depicts it in the included graphic.

One thing I would like to point out is the recognition that the process is really a circle (as depicted) and not a spiral, or line.  What I mean by that, is the path does not close between what can be perceived as the beginning “Business goal” and the end “Use, monitor and optimize”.

The results of applying Data Science to business problems not only helps solve these problems, but actually changes the motivators that drive the seeking of solutions in the first place.  Business goals are usually held up as the ends with the lowest dependency gradient of any component of any complex enterprise architecture.  While this may be true at any point in time, the dependency is not zero.  Business goals themselves change over time and not just in response to changing economic, societal or environmental factors.  The technology used to meet these goals does itself drive changes to the business goals.

A party, whether person or organization, tends to do what it is capable of doing.  Technology gives it more activities to undertake and things to produce and consume, which then feedback to the goals that motivate it.

I think this article is one of the best I’ve seen in making that point.