Last Updated 06 Jul 2020

Artificial Intelligence Critical Analysis

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Technology keeps on getting better and better time to time. According to the Kondratieff Cycle, the technology changes states in around 50 years and in the early years of this 50 year cycle it builds upon only losses and only in the last ten years it brigs true returns which are actually the costs of adapting the technology being nullified.

Artificial Intelligence is the premium technology being practiced today as it has the ability to mimic human behavior. The fact that AI systems can learn make them more viable for race to gain edge over your rivals, therefore firms are readily adapting such systems as they tend to boost performance of the firms.

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AI, not only helps the firms, but also helps individuals (employees) in understanding the cases and directing strategies efficiently. It also reduces the work load for many employees but at a tactical or top level.

AI is more like a nightmare for operational level employees as it tends to destroy the chain to speed up operations. For instance, an efficient AI planted into a manufacturing firm can eliminate the need for manpower in assembling departments.

At present, the commercial world is hungry for technology that would ease operations and decision making to the maximum level as the long run costs of maintaining these systems are extremely low as compared to employee management programs.

This means that professional jobs are at stake. Further, such systems do not have an aging problem so knowledge can be contained easily. The point still argued is can we rely on machines that work on binary codes i.e. Yes or No options only?

Computers can think but can not think rationally as humans may do, computers may be able to comprehend faster but still they can not act intuitively as humans do.

References

1.      Jan Goldberg, Mark Rowh, (2003), “Great Jobs for Computer Science Majors”

Edition: 2, McGraw-Hill Professional

2.      Alan Kernoff, Tom Schwartz Associates, (1986), “Who's who in Artificial Intelligence: The AI Guide to People, Products, Companies, Resources, Schools and Jobs”, WWAI,

3.      Samir Dasgupta, Ray Kiely, (2006), “Globalization and After”,

Sage Publications,

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Artificial Intelligence Critical Analysis. (2016, Jun 28). Retrieved from https://phdessay.com/artificial-intelligence-2/

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