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Artificial Intelligence and the Metaverse: Present and Future Aspects

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The Future of Metaverse in the Virtual Era and Physical World

Abstract

Artificial Intelligence (AI) and the metaverse are some of the most prominent technologies of the twenty-first century. Each can enhance people’s lives in many ways, improve many industries, and increase the efficiency of many working processes. The metaverse is a compilation of virtual, augmented, and physical realities. Although “metaverse” terminology has been around for some time, it remains an emerging technology even as it becomes more of an everyday topic. Very soon, the metaverse will be a place where one can work, learn, shop, be entertained, and interact with others in ways that were never before possible. Without machine learning most metaverse experiences will not be possible which allows software applications to become more accurate at predicting outcomes without being explicitly programmed. AI and data science will be at the forefront of converging this combination of technology and will help revolutionize how people interact across the globe. It will lead to innovations, revenue streams, and deeper connections. AI and the metaverse can be applied in industries such as healthcare, gaming, management, marketing, education, and more. Generally, these technologies are looked at separately without considering their influence on each other and their potential for collaboration. In this paper, we talk about how artificial intelligence and the metaverse work together, how they are applied in various industries, and their potential. Before explaining the role of AI in the metaverse, its need to be explained the concept of the metaverse, where and how it is applied, and its potential.

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Correspondence to Soma Bandyopadhyay .

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Thakur, S.S., Bandyopadhyay, S., Datta, D. (2023). Artificial Intelligence and the Metaverse: Present and Future Aspects. In: Hassanien, A.E., Darwish, A., Torky, M. (eds) The Future of Metaverse in the Virtual Era and Physical World. Studies in Big Data, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-031-29132-6_10

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