Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
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A. B. C. D.BC
B: A bot is an automated software program designed to perform a particular task. Think of it as a robot without a body.
C: Automated customer interaction is essential to a business of any size. In fact, 61% of consumers prefer to communicate via speech, and most of them prefer self-service. Because customer satisfaction is a priority for all businesses, self-service is a critical facet of any customer-facing communications strategy.
Incorrect Answers:
D: Early bots were comparatively simple, handling repetitive and voluminous tasks with relatively straightforward algorithmic logic. An example would be web crawlers used by search engines to automatically explore and catalog web content.
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/ai-overview https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/interactive-voice-response-botConversational AI workload is a type of artificial intelligence workload that involves the use of natural language processing (NLP) and machine learning to enable machines to understand, interpret and respond to human language. The following are the two scenarios that are examples of a conversational AI workload:
B. A chatbot that provides users with the ability to find answers on a website by themselves: This scenario is an example of a conversational AI workload because it involves the use of a chatbot that uses NLP and machine learning to understand the user's queries, interpret them, and provide appropriate responses. The chatbot can be programmed to respond to a wide range of user queries and can be used to provide customer support, answer frequently asked questions, and perform other tasks.
C. Telephone voice menus to reduce the load on human resources: This scenario is also an example of a conversational AI workload because it involves the use of an automated voice menu system that uses NLP and machine learning to understand the caller's queries, interpret them, and provide appropriate responses. The system can be programmed to respond to a wide range of user queries and can be used to provide customer support, route calls to the appropriate department, and perform other tasks.
A. A telephone answering service that has a pre-recorder message: This scenario is not an example of a conversational AI workload because it does not involve the use of NLP and machine learning. The pre-recorded message is played to the caller, and the caller is asked to select an option from a predefined list using the keypad. The system does not have the ability to understand natural language queries or respond to them appropriately.
D. A service that creates frequently asked questions (FAQ) documents by crawling public websites: This scenario is also not an example of a conversational AI workload because it does not involve the use of NLP and machine learning to understand and respond to natural language queries. The system crawls public websites and generates an FAQ document based on the content found on those websites. The generated document can then be used to provide answers to user queries, but the system does not have the ability to understand and respond to natural language queries in real-time.