How Agentic AI Enables Adaptive Learning in Big Data Models
Introduction In the era of big data, the ability to process and learn from vast datasets is critical for organizations seeking to derive actionable insights. Traditional machine learning models, while powerful, often struggle to adapt dynamically to evolving data patterns and user needs. Enter agentic AI—a paradigm where autonomous agents, equipped with decision-making capabilities, enhance the adaptability and efficiency of big data models. This chapter explores how agentic AI enables adaptive learning in big data environments, offering a transformative approach to handling complex, dynamic datasets. Understanding Agentic AI Agentic AI refers to systems or agents that operate autonomously, making decisions based on their environment, goals, and learned experiences. Unlike traditional AI models that follow predefined rules or static training protocols, agentic AI systems possess agency— the ability to act independently, reason, and adapt in real-time. These agents leverage adv...