Learn what conversational AI workloads are and how they can improve customer experience and satisfaction. Find out how Azure AI can help you build, connect, and manage conversational AI applications.
Table of Contents
Question
Which two scenarios can be used as examples of conversational Al workloads?
Select all options that apply.
A. Assembly line machinery that autonomously inserts keyboards into laptops
B. A smart device in your home that responds to questions such as “What will the weather be like next week?”
C. A website that uses a knowledge base to interactively respond to users questions
Answer
B. A smart device in your home that responds to questions such as “What will the weather be like next week?”
C. A website that uses a knowledge base to interactively respond to users questions
Explanation
Conversational Al is the set of technologies behind automated messaging and speech-enabled applications that offer human-like interactions between computers and humans, such as chatbots or virtual assistant devices.
The correct answer is B and C. These two scenarios can be used as examples of conversational AI workloads, which are applications that use natural language processing (NLP) and machine learning (ML) to simulate human conversation and provide natural and intuitive interactions with users.
A conversational AI workload is a type of artificial intelligence (AI) that can understand and generate natural language, such as text or speech. It can also use context, knowledge, and personality to provide relevant and engaging responses. Conversational AI workloads can be used for various purposes, such as customer service, virtual assistants, chatbots, and voice applications.
Scenario B is an example of a conversational AI workload because it involves a smart device in your home that responds to questions using speech recognition and synthesis. The device can also use NLP and ML to understand the user’s intent, access information from the internet or other sources, and generate natural and appropriate responses. For example, Google Cloud offers conversational AI as part of Vertex AI platform offerings like Vertex AI Conversation.
Scenario C is another example of a conversational AI workload because it involves a website that uses a knowledge base to interactively respond to users questions. The website can use NLP and ML to analyze the user’s query, match it with the relevant information from the knowledge base, and generate a concise and accurate answer. For example, Microsoft Azure offers QnA Maker, a cloud-based service that creates a conversational layer over your data.
Scenario A is not an example of a conversational AI workload because it does not involve any natural language interaction. It is an example of a robotic process automation (RPA) workload, which is a type of AI that automates repetitive and rule-based tasks using software robots or digital workers. For example, Microsoft Azure offers Power Automate, a cloud-based service that helps you create automated workflows.
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