AI -DRIVEN BIG DATA ANALYTICS CONCEPTS AND APPLICATIONS

Overview Synopsis

AI-Driven Big Data Analytics is an advanced approach that combines Artificial Intelligence (AI) techniques with Big Data analytics to process, analyze, and extract valuable insights from extremely large and complex datasets. It focuses on using intelligent algorithms, machine learning models, deep learning techniques, and automated analytical methods to discover hidden patterns, predict future trends, and support data-driven decision-making. The key concepts of AI-driven Big Data Analytics include data collection, data preprocessing, feature extraction, machine learning, predictive modeling, real-time analytics, natural language processing (NLP), computer vision, anomaly detection, and automated decision systems. AI algorithms can analyze structured, semi-structured, and unstructured data generated from various sources such as IoT devices, social media platforms, sensors, cloud applications, business transactions, and digital services