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Generative AI Fundamentals: Customer Service Chatbot As Potential Use of Generative AI

Learn how a customer service chatbot can use generative AI to create natural and engaging responses, and provide personalized and helpful solutions to customers. Understand the benefits and challenges of using generative AI for customer service.

Table of Contents

Question

Which of the following is a potential use of generative AI?

A. Predicting future sales
B. A robot that performs mechanical tasks
C. A customer service chatbot
D. Automatic reading of X-rays

Answer

C. A customer service chatbot

Explanation

The potential use of generative AI is C. A customer service chatbot. A customer service chatbot is a software program that can interact with customers using natural language, and provide information, assistance, or solutions to their queries or problems. A customer service chatbot can use generative AI to create natural and engaging responses, based on the customer’s input and the chatbot’s knowledge base. A customer service chatbot can also use generative AI to generate personalized recommendations, offers, or feedback, based on the customer’s preferences and behavior.

The other options are not examples of generative AI, but examples of other types of AI, such as:

  • A. Predicting future sales is an example of predictive analytics, which is a type of AI that uses data mining, machine learning, and statistical modeling to analyze historical and current data, and make forecasts or estimates about future outcomes or trends.
  • B. A robot that performs mechanical tasks is an example of robotics, which is a branch of AI that deals with the design, construction, operation, and control of machines that can perform physical actions, such as moving, grasping, manipulating, or sensing objects.
  • D. Automatic reading of X-rays is an example of computer vision, which is a field of AI that enables computers to process, analyze, and understand visual information, such as images, videos, or scans.

Generative AI Fundamentals Exam Question and Answer

The latest Generative AI Fundamentals actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Generative AI Fundamentals certificate exam and earn Generative AI Fundamentals certification.

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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