Final answer:
The key difference between building traditional applications and AI applications is their data requirements; AI relies on large volumes of high-quality data to train its models.
Step-by-step explanation:
When comparing the development of traditional applications to AI applications, one of the key differences lies in their Data requiremge volume of high-quality data, which can be a challenge in obtaining and processing. Additionally, AI models coents. Traditional applications often follow a clear set of rules and logic that are programmed by developers. In contrast, AI applications rely heavily on data to train machine learning models, which enable them to learn and make decisions. This process requires a larntinue to learn and improve over time as they are exposed to more data, which differs significantly from the static nature of traditional applications.