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Computer Making Decisions Discussion Essay
Computers Making Decisions
Imagine that you are a shirt sales person and you just heard from your boss that a computer program is going to start telling you how many red, green and yellow (or whatever colors) shirts you are supposed to sell each week.
What are your thoughts?
Now that you know how computers are used to make decisions, how do you think a program could make these decisions for you?
Please provide original work. No plagiarizing.
Instructions
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Remember, the goal of academic discussions is to foster a collaborative learning environment. By following these steps, you’ll be able to contribute meaningfully and engage in a productive exchange of ideas
Computer Making Decisions Discussion Essay: Solution
As a shirt salesperson, hearing that a computer program will determine the number of shirts I need to sell in different colors each week might bring up a mix of feelings and thoughts. Here’s how I might react and how I think the program could make these decisions:(Computer Making Decisions Discussion Essay)
Initial Thoughts
- Concerns about Accuracy: I might worry about the program’s accuracy in predicting the right quantities for each color. What if it miscalculates and we end up with excess or insufficient stock?(Computer Making Decisions Discussion Essay)
- Human Judgment vs. Data-Driven Decisions: I could wonder whether the program will consider factors beyond just historical sales data, such as current fashion trends or seasonal variations, which might not be captured in the data.
- Adaptability: I might question the program’s ability to adapt quickly to unexpected changes or new market trends. Human intuition and flexibility could be hard to replicate.(Computer Making Decisions Discussion Essay)
- Interaction: I could wonder how much input or override capability I have in this process. Will I be able to adjust quantities if I notice something the program might miss?
Program’s Decision-Making Process
- Data Analysis: The program would likely analyze historical sales data, considering factors like seasonality, color popularity, and trends over time. It could use statistical methods to identify patterns and correlations.
- Market Trends: It might gather data from external sources like fashion magazines, social media, and industry reports to detect emerging trends or color preferences.(Computer Making Decisions Discussion Essay)
- Demand Forecasting: By using predictive modeling, the program could forecast demand for each color based on factors like upcoming events, holidays, and past buying patterns.
- Inventory Management: The program might be linked to the inventory system to monitor stock levels in real-time. It would adjust the sales targets based on the current inventory status to prevent overstock or shortages.(Computer Making Decisions Discussion Essay)
- Feedback Loop: Regular feedback from salespeople could be incorporated to refine the program’s predictions. If the program consistently underestimates red shirt sales, for instance, this feedback could lead to adjustments.
- Machine Learning: Over time, the program might use machine learning algorithms to improve its accuracy by learning from its own predictions and actual outcomes.(Computer Making Decisions Discussion Essay)
- Human Override: There could be a mechanism for salespeople to intervene in exceptional cases. For example, if a sudden event causes a spike in demand for a particular color, the program could allow manual adjustments.(Computer Making Decisions Discussion Essay)
While the program could offer many benefits, such as reducing overstock and ensuring popular colors are available, there are challenges. It might struggle to capture the nuanced decisions a human salesperson could make based on personal interactions and gut feeling. Striking the right balance between data-driven decisions and human intuition would likely be key to success.(Computer Making Decisions Discussion Essay)
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