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Cognitive Content Engines

Valisher SapayevR. N. RavikumarJain (Deemed to be) University, Bangalore, IndiaAzamat AbdurakhmanovTermez University of Economics and Service, Termez, UzbekistanS. AarthiMarwadi University, Rajkot, IndiaMirzayev BoburAlfraganus University, Tashkent, UzbekistanKurbanova LolakhonAndijan State University, Andijan, Uzbekistan
2026

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ABI

Annotatsiya

The social media management has become a multi-media, multi-platform, high-speed ecosystem that needs intelligent automation and decision-making. This chapter establishes the Cognitive Content Engines construct the concept of integrated AI-powered systems, that is, engaging generative models, predictive analytics, automated workflows, and governance controls to operate the entire content lifecycle. The chapter illustrates how closed-loop learning can be used to increase scalability, engagement, and predict performance and remain brand-safe and ethically responsible through conceptual modeling and recent case insights. The strategic change towards individual AI tools to responsive, coordinated AI systems towards sustainable digital communication is brought to the fore of the discussion.

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