There is a great deal of overlap between artificial intelligence (AI) and data science. Both disciplines are concerned with extracting meaningful insights from data. However, there are some key differences between the two fields.
Data science is primarily focused on extracting insights from data using statistical and mathematical methods. In contrast, AI is concerned with building algorithms that can learn and make predictions on their own.
AI involves a lot of trial and error as algorithms are tweaked and refined. Data science, on the other hand, follows a more rigorous and systematic approach.
AI is often used to build predictive models. Data science, on the other hand, can be used for other purposes such as marketing or social science research.
Data science is a relatively new field, while AI has a long history dating back to the 1950s.