Q16. What is the main goal of integrating generative AI into CRM systems for sales and marketing?
A. To confuse customers with incomprehensible responses
B. To improve customer engagement and increase sales
C. To replace the sales team with AI-generated sales pitches
Answer
B
Q17. In the context of generative AI in CRM, what does “data cleansing” refer to?
A. The process of deleting all customer data for privacy reasons
B. The practice of enhancing data quality by removing errors and inconsistencies
C. The AI’s ability to create entirely new customer profiles
Answer
B
Q18. What is the potential consequence of using low-quality or biased training data in generative AI for CRM?
A. Improved customer satisfaction
B. Unfair or biased customer interactions
C. Reduced AI model complexity
Answer
B
Q19. How can high-quality training data benefit generative AI in CRM?
A. It can make the AI model less accurate
B. It enables the AI model to provide more relevant and context-aware responses to customer inquiries
C. It increases the likelihood of data hallucination
Answer
B
Q20. What is one approach to mitigating bias in generative AI CRM models?
A. Implementing stricter data privacy policies
B. Ensuring diverse and representative training data
C. Reducing customer engagement to minimize potential bias
Answer
B
Thank you, Dinesh Yadav, for the questions.
Thank you Dinesh Yadav for helping me preparing AI associate certification. I really appreciate your effort helping the society.