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From Data to Action: Leveraging AI in Big Data for Informed Decision-Making

EasyChair Preprint no. 11686

8 pagesDate: January 4, 2024


The exponential growth of data in today's digital landscape has paved the way for the integration of Artificial Intelligence (AI) to derive meaningful insights and facilitate informed decision-making. This paper aims to explore the synergies between AI and Big Data, elucidating how AI techniques are instrumental in extracting actionable intelligence from vast and complex datasets. The foundation of this paper lies in understanding the convergence of AI and Big Data analytics, showcasing how AI algorithms such as machine learning, natural language processing, and predictive analytics are revolutionizing the handling and interpretation of colossal data sets. We delve into the various applications of AI in different industries, elucidating how it transforms raw data into actionable insights, thereby enabling organizations to make informed and strategic decisions swiftly. Furthermore, this paper addresses the challenges and ethical considerations associated with leveraging AI in Big Data analytics. It examines the significance of data privacy, bias mitigation, and transparency in AI-driven decision-making processes. Through case studies and real-world examples, this paper illustrates how the amalgamation of AI and Big Data empowers enterprises to optimize operations, personalize customer experiences, and foresee future trends. It highlights the transformative impact of AI-powered analytics on enhancing efficiency, fostering innovation, and gaining a competitive edge in a data-centric era.

Keyphrases: Artificial Intelligence, Big Data Analytics, informed decision making

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Lee Kasowaki and Orhan Yildiz},
  title = {From Data to Action: Leveraging AI in Big Data for Informed Decision-Making},
  howpublished = {EasyChair Preprint no. 11686},

  year = {EasyChair, 2024}}
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