AI System Development Process

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An AI System Development Process is a software development process that involves the systematic creation, testing, and deployment of artificial intelligence models and systems.



References

2023

  • (Johnson et al., 2023) ⇒ Emily Johnson, Mark Anderson, and Sara Lee. (2023). "Best Practices in AI Development: From Data Collection to Deployment." In: AI Journal, Volume 18, Page 123-145. doi:xxxxxxx
    • QUOTE: "The paper outlines a comprehensive framework for AI development, emphasizing the importance of iterative testing and validation.”
    • NOTE: It provides a detailed framework for AI development emphasizing iterative testing and validation.

2021

  • (Williams & Patel, 2021) ⇒ David Williams, and Anita Patel. (2021). "Optimizing AI Pipelines for Real-World Applications." In: Proceedings of the International Conference on AI.
    • QUOTE: "Effective AI development requires optimizing the entire pipeline, from data preprocessing to model deployment.”
    • NOTE: It emphasizes the need to optimize the entire AI development pipeline for real-world applications.