群众
计算机科学
管理科学
集合(抽象数据类型)
数据科学
人工智能
工程类
政治学
法学
程序设计语言
作者
Francisco Javier Campos Zabala
出处
期刊:Apress eBooks
[Apress]
日期:2023-01-01
卷期号:: 25-50
标识
DOI:10.1007/978-1-4842-9669-1_2
摘要
In the rapidly evolving world of technology and artificial intelligence, businesses are faced with a multitude of methodologies to implement AI solutions within their enterprise. Each approach offers its own set of advantages and challenges, but the First Principles methodology stands out as the most effective and adaptable for addressing complex issues in AI adoption. Rooted in a deep understanding of the underlying principles that govern AI, this method offers organizations a clear and logical framework to build custom solutions tailored to their unique needs, and more importantly, it allows enterprises to be constantly updated in the fast-changing AI landscape. By embracing the First Principles approach, businesses can harness the full potential of AI while avoiding the pitfalls of blindly applying pre-built models or relying on superficial assumptions. In this chapter, we will delve into the intricacies of the First Principles methodology and reveal how it can revolutionize the way AI is incorporated into the modern enterprise, resulting in increased efficiency, enhanced decision-making, and unprecedented business growth. First Principles methodology is a design approach that can be applied to create successful AI systems by starting with fundamental, underlying principles.
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