Augmenting Intelligence: the AI Frontier in Big Data Exploration

EasyChair Preprint 11893

Abstract

As the volume of data generated continues to grow exponentially, the need for advanced tools and methodologies to explore, analyze, and derive insights from big data becomes paramount. Augmenting intelligence through Artificial Intelligence (AI) stands at the forefront of the big data exploration frontier. This paper delves into the evolving landscape of AI in the context of big data, highlighting its transformative impact on data exploration. The paper begins by providing an overview of the challenges posed by the sheer magnitude and complexity of big data. Traditional methods of data analysis and exploration are often inadequate in the face of vast datasets, necessitating the integration of AI techniques. We explore how AI, with its ability to comprehend patterns, make predictions, and continuously learn, becomes a powerful ally in the quest for meaningful insights within the vast sea of data. Moreover, the paper discusses the synergy between AI and big data technologies, such as distributed computing frameworks and scalable storage solutions. The integration of AI algorithms into these technologies enhances their capabilities, enabling real-time processing and analysis of massive datasets. Ethical considerations and challenges associated with the use of AI in big data exploration are also addressed. As AI becomes an indispensable tool in decision-making processes, issues related to bias, transparency, and privacy demand careful consideration and ethical frameworks.

Keyphrases: AI (Artificial Intelligence), Augmenting Intelligence, big data exploration

@booklet{EasyChair:11893,
  author    = {Zamir Ayaan and Lee Kasowaki},
  title     = {Augmenting Intelligence: the AI Frontier in Big Data Exploration},
  howpublished = {EasyChair Preprint 11893},
  year      = {EasyChair, 2024}}