A greedy algorithm is an approach to solving optimization problems by making a sequence of choices, each of which looks best at the moment, with the hope that these local optima will lead to a global optimum. While greedy algorithms are efficient and easy to implement, they do not always yield the optimal solution for every problem, making it crucial to analyze their applicability for specific cases.