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AI-Powered Data Revolution: Navigating the Big Data Landscape

EasyChair Preprint no. 11898

7 pagesDate: January 29, 2024


In the era of unprecedented data growth, businesses and organizations are grappling with the challenges and opportunities presented by the deluge of information. The convergence of Artificial Intelligence (AI) and Big Data has sparked a transformative revolution, reshaping the way data is collected, processed, and utilized. This paper explores the symbiotic relationship between AI and Big Data, shedding light on the pivotal role they play in the digital landscape. The abstract begins by addressing the context of the data revolution and the sheer volume, velocity, and variety of data generated daily. It emphasizes the need for innovative solutions to extract meaningful insights from this vast pool of information. The paper then navigates through the applications of AI in Big Data analytics, illustrating real-world examples of how machine learning algorithms are transforming industries. From predictive analytics to natural language processing, the abstract showcases the versatility of AI in unlocking actionable insights and driving innovation. The abstract concludes by offering insights into the future of the AI-powered data revolution, exploring emerging trends, and envisioning the next frontier of possibilities. It emphasizes the need for continued research and collaboration to harness the full potential of AI and Big Data in addressing complex challenges and fostering sustainable development.

Keyphrases: AI-Powered Data Revolution, Artificial Intelligence (AI), Big data landscape

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Baris Altan and Smith Milson},
  title = {AI-Powered Data Revolution: Navigating the Big Data Landscape},
  howpublished = {EasyChair Preprint no. 11898},

  year = {EasyChair, 2024}}
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