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AI-Integrated Data Governance Frameworks for Real-Time, Scalable, and Ethical Data Architectures

AI-Integrated Data Governance Frameworks for Real-Time, Scalable, and Ethical Data Architectures
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Author(s): Rituraj Jain (Marwadi University, India)and Adalbert Musengamana (Marwadi University, 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.ch006

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Abstract

In the context of modern big data environments, this chapter explores how data governance reshapes the portrayal and management of data—an essential factor in maintaining data quality, security, and compliance. This underlines the fact that data has not only become a record-keeping asset, but also a strategic driver of insights and decisions. Against the volume, velocity, variety, and veracity challenges that characterize big data, this chapter surveys flexible, integrated, adaptive governance frameworks based on a core reflection of elements of compliance, real-time access, data stewardship, and security. It analyzes practical issues, such as no architecture, no visibility of the data, and no sponsorship, and develops solutions for automation, balancing accessibility with security, and promoting data literacy. Firms, such as Airbnb, Uber, and GE Aviation, provide tangible examples of good governance. Finally, the chapter discusses future trends, such as AI, NLP, and hybrid cloud innovations, that would create sustainable data-driven ecosystems.

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