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Precision Analytics: AI-Driven Solutions for Big Data Challenges

EasyChair Preprint no. 11895

8 pagesDate: January 29, 2024


This paper delves into the transformative realm of artificial intelligence (AI) and its pivotal role in addressing the multifaceted challenges posed by big data. This abstract explores the intersection of precision analytics and AI, highlighting how advanced algorithms and machine learning techniques can unravel the complexities inherent in vast datasets. The paper investigates how AI-driven solutions bring unparalleled accuracy, efficiency, and insight to data analytics, empowering organizations to extract meaningful patterns, make informed decisions, and derive strategic value from their data assets. Through an in-depth exploration of real-world applications and case studies, the abstract elucidates the potential of precision analytics as a cornerstone for overcoming the hurdles associated with the ever-expanding landscape of big data. The synthesis of cutting-edge technologies with sophisticated analytical methodologies promises to redefine the way businesses leverage their data resources for enhanced operational performance and strategic innovation.

Keyphrases: Artificial Intelligence (AI), Big Data Challenges, Precision Analytics

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ahmed Zaid and Smith Milson},
  title = {Precision Analytics: AI-Driven Solutions for Big Data Challenges},
  howpublished = {EasyChair Preprint no. 11895},

  year = {EasyChair, 2024}}
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