Data science is a field that combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights from data. AI, on the other hand, is a sub-discipline of computer science focused on building computers with flexible intelligence capable of solving complex problems using data, learning from those solutions, and making replicable decisions at scale. While data science and AI are closely related and often used together, they are not the same. Data science is a broader field that involves extracting insights from data using various techniques, including AI. In contrast, AI involves creating intelligent systems that can carry out tasks autonomously, learn from their experiences, and enhance their performance as they gain more knowledge over time. In summary, data science is a field that uses AI and machine learning to extract insights from data, while AI is a field that focuses on building intelligent systems that can perform tasks autonomously.