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Artificial Intelligence (AI) offers intellectual, customized and better decision-making capabilities for humans in diverse areas of applications and use-cases. All of these applications have far reaching effects on the human life and the living pattern. AI algorithms however are based on a centralized architecture, methodology and learning patterns. Although there is an advent of resource-unbounded, parallel environments in computing, the inherent centralized strategies bound the learning as well as performance of these algorithms. Decentralized AI applications are the need of time. Block chain enabled solutions for decentralization address these issues as well as important concerns of security, trust and efficiency. Although the research as well as commercial groups have put up a step forward in bringing these two technologies together, there are research challenges to its realization. The presented work puts forth the need of bringing these technologies together with discussions to various challenges. It also addresses the strategies for addressing the challenges in amalgamation of these trends with reference to numerous applications where this blend can create a greater value