In the Era of Big Data: a Holistic Examination of the Transformative Power and Ethical Implications of Artificial Intelligence Integration

EasyChair Preprint 11791

Abstract

The integration of big data and artificial intelligence (AI) heralds a paradigm shift in the landscape of information processing and decision-making. This research paper conducts a comprehensive exploration, delving into the profound influence of big data on the capabilities and evolution of AI systems. The research begins by delineating the pivotal role big data plays in enhancing the learning algorithms that underpin AI systems. By providing vast and diverse datasets, big data becomes the lifeblood that fuels the development and refinement of intelligent models. The paper navigates through the challenges and opportunities associated with harnessing massive datasets, emphasizing the need for effective strategies to ensure data quality, privacy, and relevance. The study also delves into the technological advancements required to facilitate a deeper integration of big data and AI. It examines data processing techniques, scalability considerations, and the evolving landscape of edge computing, providing a roadmap for future developments.

Keyphrases: data, decision, driven

@booklet{EasyChair:11791,
  author    = {Jane Smith and Kurez Oroy},
  title     = {In the Era of Big Data: a Holistic Examination of the Transformative Power and Ethical Implications of Artificial Intelligence Integration},
  howpublished = {EasyChair Preprint 11791},
  year      = {EasyChair, 2024}}