Download PDFOpen PDF in browser

Revolutionizing Intelligence: a Comprehensive Survey of Big Data-Driven Approaches to Advancing Artificial Intelligence Research and Development

EasyChair Preprint 11793

8 pagesDate: January 17, 2024

Abstract

In the ever-evolving landscape of artificial intelligence (AI), this research paper embarks on an exploration of the transformative synergy between AI and big data. This study delves into the pivotal role played by big data as a catalyst, unleashing a revolutionary evolution in the capabilities of intelligent systems. As the world witnesses an unprecedented surge in data generation, the paper aims to unravel how this deluge of information becomes the driving force behind the AI revolution. The research begins by dissecting the intricate relationship between big data and AI, highlighting how the vast, diverse, and dynamic nature of  big data serves as the fuel propelling the evolution of intelligent systems. As AI algorithms become increasingly sophisticated, the demand for substantial and varied datasets intensifies, turning big data into a cornerstone for training, refining, and enhancing the capabilities of AI models.

Keyphrases: AI, Intelligent, systems

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:11793,
  author    = {Kurez Oroy and Danny Jhon},
  title     = {Revolutionizing Intelligence: a Comprehensive Survey of Big Data-Driven Approaches to Advancing Artificial Intelligence Research and Development},
  howpublished = {EasyChair Preprint 11793},
  year      = {EasyChair, 2024}}
Download PDFOpen PDF in browser