Artificial Intelligence and Metaverse through Data Engineering

$195.00

Jagdish Chandra Patni – Professor, School of Engineering and Technology Jain (Deemed to be University), Bengaluru, India
Tanupriya Choudhury – Professor, School of Computer Science University of Petroleum and Energy Studies, Dehradun, India

Series: Computer Science, Technology and Applications
BISAC: COM004000; COM021030; COM093000
DOI: https://doi.org/10.52305/TIAS1433

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.

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