To understand the difference, first know what AI is. AI is short for artificial intelligence. It’s basically the simulation of human intelligence performed by computers or machines.
Predictive AI is a type of artificial intelligence that analyzes data to make predictions about what is likely to happen in the future. It works by looking at patterns in data and using these patterns to make educated guesses about what might happen next. For example, a predictive AI might analyze sales data to predict which products are likely to sell well in the future. Common examples of the use of predictive AI are in recommendation systems such as those used in Netflix to predict which movies a user is likely to be interested in based on their past behaviour, their search queries and other variables.
Generative AI, on the other hand, creates new content based on existing data. It works by using algorithms to generate new text, images, or other types of content that resemble existing examples. For example, a generative AI might be trained on a set of images of flowers and then create new images of flowers that look similar to the original set. The current trending use of generative AI around the world is ChatGPT.
In summary, predictive AI tries to predict what will happen next, while generative AI creates new content based on existing data.