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The Confluence of Big Data and Artificial Intelligence: Unraveling Complex Patterns and Unveiling Novel Paradigms for Transformative Knowledge Discovery

EasyChair Preprint no. 11794

7 pagesDate: January 17, 2024

Abstract

The research paper embarks on an exploratory journey into the intricate intersection of big data and artificial intelligence (AI). This study aims to unravel complex patterns within massive datasets and illuminate novel paradigms, fostering transformative knowledge discovery in an era defined by unprecedented data volume and advanced AI capabilities. The abstract commences by acknowledging the synergy between big data and AI, positioning them as intertwined forces shaping the landscape of knowledge discovery. The paper underscores the need to unravel intricate patterns within vast datasets, emphasizing the transformative potential of this confluence.

Keyphrases: data, decision, driven

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:11794,
  author = {Kurez Oroy and Julia Anderson},
  title = {The Confluence of Big Data and Artificial Intelligence: Unraveling Complex Patterns and Unveiling Novel Paradigms for Transformative Knowledge Discovery},
  howpublished = {EasyChair Preprint no. 11794},

  year = {EasyChair, 2024}}
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