Artificial Intelligence (AI) works by mimicking human intelligence through data processing, learning, and decision-making. It begins with collecting large amounts of data, which are then processed using algorithms—sets of rules or instructions that guide the machine on how to analyze and interpret the data. Through a method called machine learning, AI systems identify patterns and relationships within the data. These patterns allow the AI to make predictions, classify information, and improve its performance over time without being explicitly programmed for every task. There are different types of AI, including narrow AI, which focuses on specific tasks like facial recognition or language translation, and general AI, which aims to replicate human reasoning across a wide range of activities. Deep learning, a subset of machine learning, uses artificial neural networks that function like a simplified version of the human brain to solve more complex problems. AI systems continuously learn from new data, becoming smarter and more accurate. This learning process enables AI to adapt to new scenarios, detect anomalies, and offer real-time insights. Today, AI is used in various industries such as healthcare, finance, transportation, and customer service, making operations more efficient, intelligent, and personalized.