Cognitive Computing is an advanced field within artificial intelligence that aims to design computer systems capable of simulating human thought processes such as learning, reasoning, understanding, and decision-making. Unlike traditional rule-based systems, cognitive computing relies on analyzing large volumes of data and extracting patterns dynamically, allowing systems to continuously adapt to new information. Cognitive computing integrates multiple technologies, including machine learning, natural language processing, data analytics, and artificial neural networks. These systems focus on understanding context and meaning rather than simply processing raw data, making them highly effective in handling unstructured information such as text, images, and audio. One of the most notable examples is IBM Watson, developed by IBM, which has been applied in healthcare and advanced data analysis. Applications of cognitive computing span various sectors. In healthcare, it supports physicians by analyzing medical records and scientific literature to assist in diagnosis and treatment planning. In education, it enables adaptive learning systems tailored to individual student needs. It is also widely used in customer service through intelligent virtual assistants that understand and respond to user inquiries naturally.