AI-900 Question 258
Select 3A company wants to improve customer engagement by automatically generating personalized email responses to customer inquiries. Which of the following are common scenarios where generative AI could be applied in this context?
- A
Creating draft email responses tailored to customer inquiries
- B
Generating real-time analytics reports for customer data
- C
Producing creative marketing slogans for email campaigns
- D
Summarizing long customer emails into concise action points
- E
Automatically categorizing emails into predefined folders
Show answer and explanation
Correct answers: A, C, D
Explanation
Generative AI is well-suited for tasks that involve creating or transforming text, such as drafting personalized email responses, generating creative content like marketing slogans, and summarizing long pieces of text. However, tasks like data analytics and email categorization are better handled by other AI techniques or traditional tools.
- A. Correct.
Generative AI can be used to create draft email responses by analyzing customer inquiries and producing personalized replies.
- B. Incorrect.
While real-time analytics reports are important, they are typically handled by traditional data analytics tools, not generative AI.
- C. Correct.
Generative AI excels at producing creative content like slogans, making it suitable for generating marketing slogans for email campaigns.
- D. Correct.
Generative AI can summarize long emails into concise action points, improving efficiency in customer service.
- E. Incorrect.
Categorizing emails into folders is more aligned with classification tasks, which are better suited for traditional machine learning models rather than generative AI.