GENALYTICS: A Deep Dive Into Real-Time Insights via Generative AI

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Author(s): Monika Dandotiya (Poornima University, Jaipur, India), Nikhil Kumar Goyal (Noida International University, Greater Noida, India), Priyanka Yadav (Swami Keshvanand Institute of Technology, Management, and Gramothan, Jaipur, India), Kriti Sankhla (Poornima University, Jaipur, India)and Monika Kumari (Poornima University, Jaipur, India)
Copyright: 2026
Pages: 30
Source title: Generative AI-Powered Data Architectures: From Governance to Autonomous Analytics
Source Author(s)/Editor(s): Bahaa Eddine Elbaghazaoui (Sultan Moulay Slimane University, Morocco), Mohamed Amnai (Ibn Tofail University, Morocco)and Noreddine Gherabi (Sultan Moulay Slimane University, Morocco)
DOI: 10.4018/979-8-3373-5616-7.ch005

Keywords: Artificial Intelligence / Data Analysis & Statistics / Engineering Science Reference / Library & Information Science

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Abstract

With today being an age of hyper-connected systems and real time decision-making, it is no wonder that real time analytics have emerged as the key to organizations looking to draw actionable intelligence out of constantly changing data streams. Lastly, the chapter talks about the issues of implementation, ethical concerns, and legal issues involved with real-time generative systems. Future directions are explained, such as the changes towards federated learning, autonomous analytics, and quantum-assisted generative AI. The chapter will also be a conceptual guide and practical road map to the researcher, practitioners and industry professionals, whether the landscape of intelligent real-time analytics is playing out according to the initial expectations or not.

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GENALYTICS: A Deep Dive Into Real-Time Insights via Generative AI

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