Artificial Intelligence Growth explores the broad landscape of AI, from its technological foundations like machine learning and neural networks to its expanding applications across business, healthcare, and governance. It highlights that AI is not a distant concept but a present reality reshaping how we live and work. Understanding AI's mechanics and impacts is crucial, especially as it automates processes, improves decision-making, and drives innovation across industries.

The book traces AI's evolution, providing historical context and foundational concepts to understand advanced topics. It delves into AI's major components and their applications, emphasizing the responsible development needed to mitigate risks and ensure equitable benefits. For instance, AI's ability to analyze vast datasets can revolutionize healthcare diagnostics, but also raises concerns about algorithmic bias and data privacy.

The book progresses logically, introducing core concepts, exploring AI's components, examining industry applications, and addressing societal impacts. It offers practical insights for implementing AI solutions, navigating ethical considerations, and evaluating AI strategies, making it a valuable resource for technology enthusiasts, business professionals, and policymakers alike.

Information Theory