AI-900 Question 5
Select 2A retail company wants to implement an AI solution to automatically categorize products based on their images and descriptions. Which of the following AI workloads are most appropriate for this scenario?
- A
Natural Language Processing (NLP)
- B
Computer Vision
- C
Anomaly Detection
- D
Machine Learning
- E
Speech Recognition
Show answer and explanation
Correct answers: B, D
Explanation
The scenario requires analyzing images and utilizing descriptions to categorize products, which aligns with the capabilities of Computer Vision and Machine Learning workloads. Computer Vision handles image analysis, while Machine Learning enables the development of classification models by leveraging both images and descriptions.
- A. Incorrect.
Natural Language Processing (NLP) focuses on understanding and processing text or spoken language, which is not the primary requirement in this scenario. While descriptions may involve text, the task is more about classifying products holistically.
- B. Correct.
Computer Vision is relevant because the task involves analyzing and categorizing products based on their images, which falls under image processing and recognition capabilities.
- C. Incorrect.
Anomaly Detection is used to identify unusual patterns or outliers in data, which does not align with the goal of categorizing products based on images and descriptions.
- D. Correct.
Machine Learning is a broader AI workload that can be applied to train models for product categorization tasks using both images and descriptions. It forms the foundation of many AI solutions, including this one.
- E. Incorrect.
Speech Recognition involves converting spoken language into text, which is not applicable to the scenario of categorizing products based on images and descriptions.