What are the differences between generative and predictive AI?
Generative and predictive AI are two types of artificial intelligence that are used for different purposes. Here are some key differences between the two:
Generative AI: Generative AI is a type of AI that is designed to create new content or data. This can include creating text, images, or other types of data. Generative AI uses machine learning algorithms to learn from existing data and then generate new, original content based on that data.
Predictive AI: Predictive AI is a type of AI that is designed to predict outcomes or make recommendations based on data. This can include predicting future events, suggesting products or services to customers, or making recommendations for other types of actions. Predictive AI uses machine learning algorithms to analyze data and make predictions or recommendations based on patterns and trends in the data.
In summary, generative AI is focused on creating new content, while predictive AI is focused on making predictions or recommendations based on existing data. Both types of AI can be useful in a variety of applications, depending on the specific needs and goals of an organization.