Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16545
Title: Artificial Intelligence and Metaverse Through Data Engineering
Authors: Patni, Jagdish Chandra
Choudhury, Tanupriya
Keywords: Artificial Intelligence
Metaverse
Data Engineering
Issue Date: 2024
Publisher: Nova Science Publishers, Inc.
Citation: pp. 1-248
Abstract: Two cutting-edge technologies that are completely changing the way humans interact with digital surroundings are artificial intelligence (AI) and the metaverse. Data engineering-driven AI is a major factor in determining how the metaverse experience is structured. To train AI models, data engineering entails gathering, processing, and evaluating enormous volumes of data. By providing a variety of datasets to AI algorithms, data engineering contributes to the creation of realistic virtual environments within the metaverse. This makes it possible for AI to create realistic settings, people, and interactions in the metaverse. Artificial intelligence (AI) can create individualized and immersive experiences in the metaverse by using data engineering to comprehend human behavior, preferences, and interactions. AI improves the realism and interactivity of the metaverse by continuously learning from data, giving the impression that it is a more organic extension of the real world. In conclusion, this book will highlight the intersection of data engineering, AI, and the metaverse fostering innovation in virtual experiences by obfuscating the distinctions between the real world and the virtual. The potential for developing dynamic, captivating, and customized virtual worlds that meet users' various requirements and interests is enormous with this partnership. © 2024 by Nova Science Publishers, Inc. All rights reserved.
URI: https://doi.org/10.52305/TIAS1433
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16545
ISBN: 9798891138933
9798891138407
Appears in Collections:Book/ Book Chapters

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.