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Question 93 - Certified AI Associate discussion

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How does poor data quality affect predictive and generative AI models?

A.

Creates inaccurate results

Answers
A.

Creates inaccurate results

B.

Increases raw data volume

Answers
B.

Increases raw data volume

C.

Decreases storage efficiency

Answers
C.

Decreases storage efficiency

Suggested answer: A

Explanation:

Poor data quality significantly impacts the performance of predictive and generative AI models by leading to inaccurate and unreliable results. Factors such as incomplete data, incorrect data, or poorly formatted data can mislead AI models during the learning phase, causing them to make incorrect assumptions, learn inappropriate patterns, or generalize poorly to new data. This inaccuracy can be detrimental in applications where precision is critical, such as in predictive analytics for sales forecasting or customer behavior analysis. Salesforce emphasizes the importance of data quality for AI model effectiveness in their AI best practices guide, which can be reviewed on Salesforce AI Best Practices.

asked 13/11/2024
Mourad Tannous
24 questions
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