This research paper explores the pivotal role of Big Data in advancing the field of Artificial Intelligence (AI) and delves into the opportunities, challenges, and wider implications associated with this intersection. As AI continues to evolve, the demand for massive datasets and sophisticated algorithms has grown exponentially. Big Data, characterized by its volume, velocity, variety, and veracity, provides a rich source of information to enhance AI capabilities. The paper begins by elucidating the fundamental connection between Big Data and AI, highlighting how large-scale datasets are essential for training, validating, and improving AI models. It underscores the significance of structured and unstructured data from diverse sources, including social media, IoT devices, and healthcare records, in shaping AI’s learning and decision-making processes. The paper also explores the potential for AI to revolutionize data analysis, enabling the discovery of hidden insights, patterns, and correlations that were previously unattainable.
Keywords: Artificial Intelligence, Big Data, General Data Protection Regulation, Gradient Boosting Algorithms, machine learning
