Chapter 1: An Introduction to Generative AI Machine learning, deep learning, and artificial intelligence. While these concepts are sometimes used interchangeably, there are distinct differences between them. Generative AI, on the other hand, refers specifically to AI systems that can generate new data based on patterns and examples from existing data. This distinction is important to understand when exploring the capabilities of AI and how they can be applied to various fields. To begin with, let's talk about what is meant by intelligence and learning. Intelligence generally refers to an ability to deal with novel situations, and learning is the process by which that ability is acquired. Learning and intelligence are opposed to a preset, predetermined set of actions and behaviors that are in some sense “hard coded”. For instance, a simple worm can learn how to find food in its environment, while even the most sophisticated calculator only does computations in a predetermined manner. Until very recently, the only form of intelligence that we were aware of was biological intelligence. However, with the advent of various sophisticated computational mechanisms - first mechanical, then electrical, and finally the electronic - it became conceivable to think and talk about non-biological intelligence. Although the term "artificial intelligence" only appeared in the 1950s, the concept behind it was already at least a century or two old. In many respects, the lines between the terms discussed in this section, are rather artificial and fuzzy at best; they often reveal more about the background and professional history of those who use them rather than the content of the terms. Statistics Statistics has been around ever since humans started keeping track of various numerical quantities of major interest to them, especially those involved in work, society, and Gen AI: Revolutionizing the Way Enterprises Work 7