Unraveling the Tapestry of Knowledge: a Comprehensive Exploration of the Interplay Between Big Data and Artificial Intelligence in the Modern Information Landscape

EasyChair Preprint 11795

Abstract

As artificial intelligence (AI) continues to evolve, its symbiotic relationship with big data emerges as a critical determinant of success. This research paper delves into the intricacies of the intersection between AI and big data, exploring the challenges faced, the myriad opportunities presented, and the future directions that hold promise for further advancements in these intertwined domains. The first section examines the challenges encountered in harnessing big data for AI applications. Issues such as data quality, privacy concerns, and the sheer volume of information pose formidable obstacles. Strategies for addressing these challenges are explored, emphasizing the need for innovative solutions to ensure the effective utilization of big data in AI systems. The paper then navigates through the opportunities that arise from the synergy between AI and big data. From enhanced predictive analytics to improved machine learning algorithms, the fusion of these technologies opens doors to unprecedented possibilities. Real-world case studies and success stories underscore the transformative impact that harnessing big data can have on the capabilities of AI.

Keyphrases: Technologies, data, processing

@booklet{EasyChair:11795,
  author    = {Kurez Oroy and Jhon Jack},
  title     = {Unraveling the Tapestry of Knowledge: a Comprehensive Exploration of the Interplay Between Big Data and Artificial Intelligence in the Modern Information Landscape},
  howpublished = {EasyChair Preprint 11795},
  year      = {EasyChair, 2024}}