Abstract

The rapid evolution of data-driven decision-making has necessitated the development of architectures that can support real-time decision intelligence. This paper explores the convergence of two transformative paradigms—Data Mesh and Generative AI—to create self-service data products with embedded intelligence. By integrating the decentralized, domain-oriented architecture of Data Mesh with the generative capabilities of AI, organizations can achieve a new level of agility and intelligence in their decision-making processes. This paper delves into the architectural principles, challenges, and opportunities presented by this convergence, offering a thought-provoking perspective on the future of real-time decision intelligence.