Data Symphony: Harmonizing the Elements of Big Data and Artificial Intelligence for Enhanced Decision-Making and Problem Solving

EasyChair Preprint 11788

Abstract

The research orchestrates a symphonic exploration of the seamless integration between big data and artificial intelligence (AI). This study aims to elucidate how the collaborative synergy of these elements creates a harmonious symphony, enhancing decision-making processes and problem-solving capabilities. The abstract commences by acknowledging the metaphorical highlighting of the need for a synchronized and orchestrated approach to the integration of big data and AI. The paper emphasizes the goal of harmonizing these elements to create a cohesive and powerful ensemble that transcends individual capabilities.

Keyphrases: AI, Intelligent, systems

@booklet{EasyChair:11788,
  author    = {Jane Smith and Chen Li},
  title     = {Data Symphony: Harmonizing the Elements of Big Data and Artificial Intelligence for Enhanced Decision-Making and Problem Solving},
  howpublished = {EasyChair Preprint 11788},
  year      = {EasyChair, 2024}}