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Automation

Examine the different steps of the process; mention the nine steps of where AI can be used

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Examine the different steps of the process; mention the nine steps of where AI can be used

Decision making in any undertaking is an important part to take, and to ensure you succeed in the process. The decision-makers ought to be well informed to make informed decisions. Today with the invention of advanced technology such as AI, some of the tasks, including the decision-making process steps that are made by humans, can be automated, leaving the task of making a decision primarily to the machines (Shrestha, Ben-Menahem & Von, 2019). The various steps where machine equipped with the intelligence base are involved in the decision-making process include:

  1. It is used in the identification of the problem that decision is to be made about.
  2. Is used in the selection of the participants
  3. Evaluation of the problem
  4. It is used in the organization of the ideas
  5. Submission of the potential ideas.
  6. In the generation of content from various sources that can be used in the decision making
  7. Shortlisting of the ideas that are most likely to meet the success of the decision being made
  8. From the shortlisted ideas selecting the best solution
  9. Finally, it is used in solution implementation.

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Selecting participant

The selection of participants can be a tricky task for humans, given that humans are judgmental and hence prone to biasness. However, with AI, the machine will consider the qualification of each participant based on their potentials, thus picking the best experts (Garg, 2016).

Organization of the ideas

When the Ideas are generated, the AI can sort the ideas from the most effective to the least effective in a matter of seconds based on the parameters given. For human, it would take a long time and resources to complete the sorting process.

Evaluation of the problem

Assessment of the problem is critical in the decision making process as it determines what expertise is needed and the success in solving the problem (Garg, 2016). A mistake done in the evaluation of the problem translates to the through the processes of decision making and may end up leading to misinformed decisions. With the AI in place, there is no room for error. Various performance metrics are used in the evaluation process to determine the best way to solve the problem.

Shortlisting of the ideas

Shortlisting of the ideas generated may be a long and tedious job for human to do, hence the automation. AI can shortlist the ideas generated, considering over 100 factors in a short time, which is not possible with humans.

References

Garg, H. (2016). A novel correlation coefficients between Pythagorean fuzzy sets and its applications to decision‐making processes. International Journal of Intelligent Systems, 31(12), 1234-1252.

Shrestha, Y. R., Ben-Menahem, S. M., & Von Krogh, G. (2019). Organizational Decision-Making Structures in the Age of Artificial Intelligence. California Management Review, 61(4), 66-83.

 

 

 

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