Real-World Applications of Agentic AI in Big Data Workflows
Introduction The explosion of big data has transformed industries, enabling organizations to harness vast amounts of information for strategic decision-making. However, the complexity and scale of big data workflows—encompassing data collection, processing, analysis, and visualization—pose significant challenges. Agentic AI, characterized by its autonomy, adaptability, and goal-oriented behavior, is emerging as a transformative force in managing these workflows. Unlike traditional AI, which relies on predefined rules or supervised learning, Agentic AI systems can independently reason, learn, and make decisions, making them ideal for dynamic and large-scale data environments. This chapter explores the real-world applications of Agentic AI in big data workflows, highlighting its impact across industries such as healthcare, finance, retail, and more. Understanding Agentic AI in Big Data Contexts Agentic AI refers to systems that exhibit agency—autonomous decision-making, environm...