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Big Data: the Fuel for Machine Learning and AI Advancement

EasyChair Preprint no. 10951

7 pagesDate: September 22, 2023


In an era of exponential expansion in digital information, the notion of Big Data has emerged as a game-changer in a variety of disciplines. This abstract provides a concise overview of the multifaceted landscape of Big Data, encompassing its definition, significance, opportunities, and challenges. Big Data refers to the vast and complex datasets generated by diverse sources, including social media, sensors, transactions, and more. These datasets pose unique challenges due to their volume, velocity, variety, and veracity. However, they also present unprecedented opportunities for organizations and researchers alike.

One of the most notable advantages of Big Data is its potential to extract valuable insights. Through advanced analytics and machine learning techniques, organizations can gain a deeper understanding, make data-driven decisions, and uncover hidden patterns within these massive datasets. Such insights have revolutionized industries like healthcare, finance, and marketing, leading to improved operational efficiency and innovation.

Keyphrases: Big Data, Cloud Computing, database

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Fatima Tahir and Muskan Khan},
  title = {Big Data: the Fuel for Machine Learning and AI Advancement},
  howpublished = {EasyChair Preprint no. 10951},

  year = {EasyChair, 2023}}
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