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Deciphering the Data Cosmos: a Strategic Framework for Harnessing the Potential of Big Data in Shaping the Future of Artificial Intelligence

EasyChair Preprint 11789

7 pagesDate: January 17, 2024

Abstract

The research paper embarks on a strategic exploration of the expansive and intricate realm where big data converges with the future trajectory of artificial intelligence (AI). This study aims to provide a comprehensive and systematic framework for understanding, navigating, and leveraging the vast potential that big data holds in shaping the evolution of AI. The abstract begins by acknowledging the increasingly pivotal role of big data in contemporary technological landscapes, recognizing it as the cosmic fabric that envelops diverse and voluminous datasets. The paper then articulates the need for a strategic framework to decipher and harness the inherent potential of big data in molding the future of AI.

Keyphrases: Big, Intelligent, insights

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:11789,
  author    = {Jane Smith and Robert Thomas},
  title     = {Deciphering the Data Cosmos: a Strategic Framework for Harnessing the Potential of Big Data in Shaping the Future of Artificial Intelligence},
  howpublished = {EasyChair Preprint 11789},
  year      = {EasyChair, 2024}}
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