AI-900: How to Create Software that Interprets Commands and Actions

Learn how to create software that has the capability to interpret commands and determine appropriate actions using conversational AI, an AI workload that enables natural and intuitive communication between humans and machines.

Question

Creating software that has the capability to interpret commands and determine appropriate actions is a consideration of which Al area?

A. Natural Language Processing
B. Computer Vision
C. Conversational Al

Answer

C. Conversational Al

Explanation

The correct answer is C. Conversational AI. Creating software that has the capability to interpret commands and determine appropriate actions is a consideration of the AI area of conversational AI. Conversational AI is an AI workload that enables natural and intuitive communication between humans and machines using voice or text. Conversational AI can use techniques, such as natural language processing, natural language understanding, natural language generation, speech recognition, and speech synthesis, to understand the user’s intent, context, and emotions, and to generate appropriate and personalized responses. Conversational AI can also use techniques, such as dialogue management, sentiment analysis, and personality detection, to maintain a coherent and engaging conversation, and to adapt to the user’s preferences and feedback. For example, conversational AI can be used to create chatbots, voice assistants, and virtual agents that can interact with users through various channels and platforms, such as websites, mobile apps, social media, and smart devices.

Let me explain why the other options are not correct:

• A. Natural Language Processing: This is an AI workload that involves processing, analyzing, and generating natural language, such as written or spoken text. Natural language processing can use techniques, such as tokenization, lemmatization, stemming, part-of-speech tagging, named entity recognition, dependency parsing, and semantic analysis, to extract and structure the information and meaning from natural language. Natural language processing can also use techniques, such as machine translation, text summarization, text classification, question answering, and text generation, to perform various tasks and applications using natural language. However, natural language processing alone cannot create software that has the capability to interpret commands and determine appropriate actions, as it does not involve speech recognition, speech synthesis, dialogue management, or other aspects of conversational AI.
• B. Computer Vision: This is an AI workload that involves processing, analyzing, and understanding visual data, such as images or videos. Computer vision can use techniques, such as image processing, feature extraction, object detection, face recognition, facial expression analysis, optical character recognition, scene understanding, and image generation, to perform various tasks and applications using visual data. However, computer vision alone cannot create software that has the capability to interpret commands and determine appropriate actions, as it does not involve natural language processing, natural language understanding, natural language generation, or other aspects of conversational AI.

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