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Synergizing AI and Big Data: Innovations in Smart Decision Making

EasyChair Preprint 11688

8 pagesDate: January 4, 2024

Abstract

In the digital age, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized numerous industries, paving the way for smarter decision-making processes. The amalgamation of these two powerful technologies has unleashed unparalleled opportunities for organizations to extract valuable insights, predict trends, and optimize operations like never before. AI, encompassing machine learning, natural language processing, and robotics among other subsets, has rapidly evolved to mimic human cognitive functions. Big Data, characterized by the vast volume, velocity, and variety of data generated, has become the lifeblood of modern enterprises. Together, they form a symbiotic relationship that drives innovation and transforms raw data into actionable intelligence. This synergy between AI and Big Data is instrumental in addressing complex challenges across diverse sectors. From healthcare and finance to manufacturing and retail, the marriage of AI algorithms with the immense scale of Big Data has empowered businesses to gain deeper insights, enhance customer experiences, streamline processes, and drive competitive advantage. In this exploration, we will delve into the profound impact of AI and Big Data convergence on smart decision-making. We will uncover how these technologies complement each other, the challenges they mitigate, the ethical considerations they raise, and the unprecedented opportunities they unlock for organizations striving to navigate an increasingly data-driven world.

Keyphrases: Big Data Analytics, Data Mining, Predictive Analytics

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:11688,
  author    = {Smith Milson and Doruk Altan},
  title     = {Synergizing AI and Big Data: Innovations in Smart Decision Making},
  howpublished = {EasyChair Preprint 11688},
  year      = {EasyChair, 2024}}
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