Navigating the Data-Driven Future of Virtual and Hybrid Events

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Author(s): Rajeev Semwal (Amity University Uttar Pradesh, Greater Noida Campus, India), Pankaj Kumar Tyagi (Chandigarh University, India), Nandita Tripathi (Amity University Uttar Pradesh, Greater Noida Campus, India)and Udit Kumar Pandey (Graphic Era Hill University, Haldwani, India)
Copyright: 2024
Pages: 24
Source title: New Technologies in Virtual and Hybrid Events
Source Author(s)/Editor(s): Sharad Kumar Kulshreshtha (North-Eastern Hill University, India)and Craig Webster (Ball State University, USA)
DOI: 10.4018/979-8-3693-2272-7.ch019

Keywords: Business Science Reference / Management Science / Media & Communications / Virtual Communities & Virtual Reality

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Abstract

Data analytics is transforming virtual and hybrid event planning with quantifiable goals, real-time analytics, and many data sources. Modern technologies like emotional analytics, AI-driven predictive analytics, quantum computing, and others boost customization, engagement, and event immersion. Extended reality (XR) analytics, edge AI, and hyper-personalization provide unmatched participant experiences. An analytical attitude, coordinated leadership, and extensive team training are necessary. Participants' privacy is protected by data security and ethics. Data analytics affects decision-making, customization, innovation, and technology adoption, making virtual and hybrid events more engaging. It signals a shift toward a flexible, life-changing event experience in the data-driven future.

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Navigating the Data-Driven Future of Virtual and Hybrid Events

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