The pace of AI innovation has been rapidly increasing in recent years, resulting in the development of remarkable new tools and technologies. However, understanding how professionals, entrepreneurs, and business operators can effectively utilize these innovations to drive business value is not entirely clear. In this article, I aim to provide a non-technical introduction to AI and Machine Learning, explaining how they can be integrated into our business practices. My objective is to assist those who come from non-AI/ML backgrounds in comprehending these technologies by simplifying their definitions and offering practical tips on implementation. When discussing AI, associations with ChatGPT, AI-generated art, or even the Terminator may come to mind. Yet, it is important to step back and contemplate the fundamental question, "What is AI?" AI is an abbreviation for artificial intelligence, though the word "intelligence" itself poses challenges when attempting to define it (even within the AI research community [1]).

Nonetheless, a definition that I find useful, especially within a business context, is intelligence = the ability to solve problems and make decisions. Therefore, with this operational definition, AI can be seen as a computer's capacity to solve problems and make decisions. To gain a better understanding of intelligence, let's observe it in action. Imagine you are deciding whether to spend your Saturday by the pool or indoors binge-watching a new Netflix series. If you glance out the window and see the scene depicted in the image below, you might decide to stay indoors. This is because the dark, cloudy sky serves as an indicator that the weather is likely to be unfavorable today.