AI vs machine learning are closely related but fundamentally different. Artificial intelligence refers to the broader concept of machines mimicking human intelligence, enabling systems to reason, plan, and solve problems. Machine learning, a subset of AI, involves training algorithms on data so they can learn and make predictions without explicit programming. While AI covers a wide range of technologies, including robotics, NLP, and vision, machine learning focuses on creating systems that improve over time through experience. Understanding the difference is crucial for choosing the right approach in applications such as automation, data analysis, and smart systems. Both are key drivers of digital transformation across industries.