Generative AI represents a significant technological advancement, allowing machines to understand human language, produce original content, and engage in creative tasks such as writing poetry, coding, or composing music. While the technology may seem magical, it is underpinned by decades of mathematical and scientific developments. The concept of machines thinking has been discussed since the late 1800s, gaining traction with Alan Turing's influential 1950 paper, which theorized that machines could excel in tasks like chess and natural language processing. The Dartmouth Workshop in 1956 further established AI as a research field, addressing challenges like neural networks and self-directed learning. This foundational work, coupled with advancements in hardware, such as the integration of billions of transistors and interconnected GPUs, has enabled the practical application of generative AI today. The development of AI will inevitably impact all aspects of life, and its future transformation depends on collective human decisions and actions. The aim of the series is to demystify AI, explaining its journey, how it works, and its potential societal and business implications.