Big Data Concept

  Introduction The rise of big data has challenged organizations to manage, process, and analyze massive datasets in real time. While cloud computing revolutionized data storage and accessibility, it is Agentic AI—autonomous, decision-making artificial intelligence—that brings intelligence, adaptability, and automation to the cloud. Together, these technologies mark the beginning of a new era where big data is not only stored but actively understood, optimized, and acted upon. The Symbiosis of Agentic AI and Cloud Computing Cloud computing provides the scalable infrastructure necessary to handle big data, while Agentic AI layers on the intelligence required to interpret and respond to that data. Agentic AI operates as autonomous agents capable of making decisions, learning from new inputs, and adapting strategies. The cloud enables these agents to run efficiently by offering elastic resources, distributed storage, and networked computing power. This synergy allows businesse...

  Chapter 1: Introduction to Agentic AI in the Marketing Landscape In the ever-evolving world of digital marketing, the convergence of artificial intelligence (AI) and big data has ushered in a new era of precision and efficiency. At the forefront of this transformation is agentic AI —a sophisticated form of AI that operates autonomously, making decisions and taking actions on behalf of users or organizations. Unlike traditional AI systems that require constant human oversight, agentic AI agents are proactive, goal-oriented entities capable of reasoning, planning, and executing tasks in dynamic environments. This chapter delves into the application of agentic AI for personalized marketing, powered by insights derived from big data. Personalized marketing, which tailors content, offers, and experiences to individual consumers, has proven to increase customer engagement, loyalty, and conversion rates. However, achieving true personalization at scale demands the analysis of vast ...

  Introduction In the rapidly evolving landscape of artificial intelligence (AI), the emergence of agentic AI represents a paradigm shift from passive tools to proactive entities capable of independent action. Agentic AI systems, often referred to as AI agents, are designed to perceive their environment, reason about goals, plan sequences of actions, and execute them autonomously. This chapter delves into the integration of agentic AI within data-driven enterprises—organizations that leverage vast amounts of data to inform strategy, operations, and innovation. As businesses increasingly rely on data analytics, machine learning, and real-time insights, agentic AI offers a pathway to autonomous decision-making, enabling enterprises to operate with unprecedented efficiency, agility, and intelligence. The chapter explores the foundational concepts of agentic AI, its synergy with data-driven frameworks, practical applications, benefits, challenges, and future implications. By exami...