Discover why leaving an AI model to run independently without ongoing monitoring is not a recommended step in building a successful AI project. Learn about the importance of continuous monitoring and adjustments in AI implementation.
Table of Contents
Question
Building a successful AI project requires a strategic approach. Which of these is NOT a crucial step in the process?
A. Defining clear business goals for AI implementation.
B. Gathering and preparing high-quality data for AI training.
C. Developing and deploying the AI model within your business systems.
D. Leaving the AI model to run independently without ongoing monitoring.
Answer
D. Leaving the AI model to run independently without ongoing monitoring.
Explanation
The correct answer is D. Leaving the AI model to run independently without ongoing monitoring. This is not a crucial step in building a successful AI project. In fact, it’s quite the opposite. Once an AI model is deployed, it’s essential to continuously monitor its performance and make necessary adjustments.
This is because the real-world data that the model encounters may differ from the training data, leading to changes in the model’s performance. Additionally, the model may need to be retrained as new data becomes available or as the business goals evolve. Therefore, ongoing monitoring and maintenance are crucial for the success of an AI project.
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