Paper Key : IRJ************284
Author: Mrinal
Date Published: 11 Jul 2024
Abstract
Today, organizations stand in front of the immense difficulty of getting information from big data streams and integrating it into their decision-making processes. This paper aims to provide a study on how cloud computing, AI, and ML are reinventing data analytics applications. In the present work we investigate these technologies as complementary, describing the unique features of each and analyzing the possibilities of their interaction on the level of transforming the business intelligence and decision-making processes. This paper explores the advantages of integration in more ways than one, such as scalability and amplification of the forecast, and optimisation of the business processes. We also discuss the potential obstacles that organizations might face, including problem of data quality, technical implementation of bias, and focusing on scarcity of talent. From the analysis of the best practices, industry applications, and important ethical issues, you will find the guideline for effective integration. In addition, we analyze innovative trends considering key factors in the development of data analytics, such as edge computing, federated learning, and the significance of ethical AI. In this respect, this paper seeks to contribute to organisations understanding of these developments, and how to utilise these potent tools appropriately and wisely in their business intelligence quests.
DOI Requested