Big Data Concept

  Introduction In the era of digital transformation, big data has become the lifeblood of organizations across industries. With the exponential growth of data from sources like social media, IoT devices, sensors, and transactional systems, traditional analytical methods often fall short in extracting meaningful insights efficiently. Predictive analytics, which involves using historical data, statistical algorithms, and machine learning techniques to forecast future outcomes, has emerged as a critical tool for decision-making. However, the sheer volume, velocity, variety, and veracity of big data pose significant challenges. Enter agentic AI—autonomous intelligent systems capable of perceiving their environment, making decisions, and taking actions to achieve specific goals without constant human intervention. Unlike traditional AI, which is often reactive or rule-based, agentic AI embodies agency, allowing it to adapt, learn, and optimize in dynamic settings. This chapter delv...