on (May 18, 2025) in the presence of the head of departments and lecturer a symposium entitled (The Role of Big Data in AI and Machine Learning), was presented by (Assistant Lecturer  Khalid Ibrahim Khalaf) from the computer Science department , Where it has been explained about, In the era of digital transformation, the fusion of Big Data with Artificial Intelligence (AI) and Machine Learning (ML) is revolutionizing how systems learn, adapt, and make decisions. This seminar explores the critical role that Big Data plays in the development and success of AI and ML applications. It highlights how vast and complex datasets serve as the foundation for training accurate and intelligent models across various industries. By examining real-world applications in healthcare, finance, retail, and security, this seminar demonstrates how Big Data enhances predictive accuracy, enables real-time learning, and supports intelligent automation. It also addresses the challenges associated with data quality, privacy, and computational demands. The seminar concludes with insights into emerging trends and future directions that will shape the continued integration of Big Data with AI technologies.. At the end of the Symposium a set of questions and answers were raised on this subject Big Data has become an indispensable component in the evolution of Artificial Intelligence and Machine Learning. Its ability to provide vast, diverse, and timely information allows AI systems to reach higher levels of performance, adaptability, and intelligence. From personalized recommendations to autonomous vehicles, the impact of data-driven AI is evident across numerous fields. However, with great potential comes significant responsibility—issues such as data privacy, ethical use, and system biases must be carefully managed. Looking ahead, the continued advancement of AI will rely heavily on how effectively we can collect, process, and utilize Big Data. As technology evolves, fostering a responsible and efficient relationship between Big Data and AI will be essential for innovation and societal benefit.