Wolfram Alpha Pros and Cons

Posted on June 21, 2025 by Dr. David Edward Marcinko MBA MEd CMP™

About the Wolfram Alpha Computational Knowledge Engine

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LINK

https://brantleymotes.wordpress.com/2014/08/25/wolfram-alpha-pros-and-cons/

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It is going to be very difficult to show students the beauty of Wolfram Alpha and still find ways to prevent them from turning to the dark side of its power. This website is great for showing multiple representations of certain data, and it is lightning quick in producing answers compared to your hand on a tedious problem. While these two pros are at the forefront and really all that one needs to hear to become interested in exploring the site, the tide can easily and quickly turn from being a task servant to a task I’ll-do-it-all-for-you-every-time-and-you-do-nothing. One student in our 5040 class suggested that we might show this to our students at the end of the year when we are reviewing for final exams. The only problem with this is that they will not forget about this website the following year. With these things in mind, the best policy…

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What is the “S” Logistics Chart Curve?

Posted on October 2, 2024 by Dr. David Edward Marcinko MBA MEd CMP™

SIGMOID CURVE

By Staff Reporters

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DEFINITION

The S curve refers to a chart that is used to describe, visualize, and predict the performance of a project or business overtime. More specifically, it is a logistic curve that plots the progress of a variable by relating it to another variable over time. 

CITE: https://www.r2library.com/Resource/Title/0826102549

The term S curve was developed as a result of the shape that the data takes. Projects on the S curve often experience a slow growth at the beginning, rapid growth in the middle, and slow growth and at the end. The maximum point of acceleration is called the point of inflexion. It is at this point that the project or business returns to the initial slow growth it started from. 

MATH PROOF: https://mathworld.wolfram.com/SigmoidFunction.html

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ORDER: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

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COMMENTS APPRECIATED

Thank You

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PODCAST: About the Mathematical WOLFRAM ALPHA Computational Knowledge Engine

Posted on July 31, 2024 by Dr. David Edward Marcinko MBA MEd CMP™

What it is – How it works

SMART CONTRACTS

[By Staff Reporters]

Wolfram Alpha is an online mathematical search engine launched in March 2009 and developed by Stephen Wolfram. It seeks to answer factual queries directly by computing the answer from structured data, rather than providing a list of web pages that might contain the answer.

In this way, WA differs from traditional semantic search engines, which index a large number of answers and then try to match the question to one. Wolfram Alpha has many parallels with Cyc, a project aimed since the 1980s at developing a common-sense inference engine. Wolfram Alpha is built on Wolfram’s earlier flagship product, Mathematica, which encompasses computer algebra, symbolic and numerical computation, visualization, and statistics capabilities.

With Mathematica running in the background, WA is suited to answer mathematical questions. The answer usually presents a human-readable solution.

Link: http://www.wolframalpha.com/

Technology

Wolfram Alpha is written in about 5 million lines of Mathematica (using webMathematica and gridMathematica) code and runs on 10,000 CPUs. As well as being a web site, Wolfram Alpha provides an API (for a fee) that delivers computational answers to other applications. One such application is the Bing search engine.

Capabilities

As an example, one can input the name of a website, and it will return relevant information about the site, including its location, site rank, number of visitors and more. The database currently includes hundreds of datasets, including current and historical weather, drug data, star charts, currency conversion, and many others. The datasets have been accumulated over approximately two years, and are expected to continue to grow. The range of questions that can be answered is also expected to grow with the expansion of the datasets.

Audio: http://www.wolframalpha.com/screencast/introducingwolframalpha.html

Utility and Usefulness

Wolfram Alpha is ideal for use by all readers and subscribers of the ME-P. It may be used by doctors, nurses, financial advisors and insurance agents, economists, mathematicians, editors, and publishers, teachers and students of all academic levels. The graphical nature of output is particularly helpful.

Assessment

Wolfram Alpha has received mixed reviews, to date. Advocates point to its potential, some even stating that how it determines output result is more important than current usefulness.

Note: Info courtesy wikipedia.org

PODCAST: https://www.bing.com/videos/search?q=stephen+wolfram&docid=608027542444182789&mid=7432EA16AEF1CDF4FCDD7432EA16AEF1CDF4FCDD&view=detail&FORM=VIRE

Conclusion

And so, your thoughts and comments on this ME-P are appreciated. Give Wolfram Alpha a click, listen to the audio-cast, and tell us what you think. Your thoughts and comments on this ME-P are appreciated. Feel free to review our top-left column, and top-right sidebar materials, links, URLs and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.

Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements. Contact: MarcinkoAdvisors@msn.com

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