Artificial Intelligence with Microsoft Power BI

Chapter 13. The AI Feedback Loop

AI is poised to have a transformational impact on the scale of earlier general purpose technologies such as blockchain, the cloud, and the internet. Although it is already used in thousands of companies worldwide, most of its big opportunities have yet to be tapped. The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, healthcare, law, advertising, insurance, entertainment, education, and virtually every other industry transforms core processes and business models to take advantage of machine learning. The bottlenecks now are in management, implementation, and business imagination. This chapter will look at your next steps once you begin your AI journey.

How Do You Start the Next Project?

The AI feedback loop refers to a continuous process in which an artificial intelligence system receives feedback, learns from it, and then improves its performance based on that feedback. The AI feedback loop is an essential part of the training and development of AI models, allowing them to improve their capabilities iteratively over time.

By analyzing feedback over an extended period, developers can follow a model’s progress and understand how competently it learns and improves over time. This longitudinal study provides insights into an AI model’s overall stability and liabilities in continuous learning.

How Does Feedback Affect the Training and Development of AI Models?

Feedback is crucial for improving ...