Beyond Boundaries: Machine Learning and Artificial Intelligence in the Age of Big Data

EasyChair Preprint no. 11859

Abstract

This paper delves into the synergistic relationship between Machine Learning (ML) and Artificial Intelligence (AI) in the context of the pervasive Big Data landscape. The study explores the evolution of these technologies, their integration in data-driven decision-making, and the challenges and treatments that arise. By reviewing current methodologies and discussing emerging trends, this paper provides insights into the transformative potential of ML and AI in handling the complexities of Big Data.

Keyphrases: Artificial Intelligence, Big Data, Challenges, data-driven decision making, deep learning, machine learning, neural networks, Predictive Analytics, Treatments

@Booklet{EasyChair:11859,
  author = {William Jack and Mikal Jason},
  title = {Beyond Boundaries: Machine Learning and Artificial Intelligence in the Age of Big Data},
  howpublished = {EasyChair Preprint no. 11859},

  year = {EasyChair, 2024}}