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There exists substantial efforts to actualize a so-called ‘smart city- throughout the world. The journey towards realizing it leads back to one path in which many learned people argue that it is, “what is the best solution for a smart city”. The solution is to embrace Internet of Things (IoT) in every aspects of the city as much as possible by making all devices connected to at least a network that communicates with one another with minimal human interference. The debates and forums on IoT as a solution has been ongoing and not many has come up with an answer that differs from the mainstream. It has been proven through research and applications that IoT is the enabler to solve many problems faced by a city such as parking woes, traffic congestion, pollution and so on. However, with IoT as a solution, does it really make a city to be considered as smart? This research intends to find out whether IoT is a viable solution for a smart cities or there exists other potential options that is better. This study was based on a qualitative approach that began with 1) a survey of literature of white papers as well as technical forums, 2) preliminary results highlighting that IoT is not a viable solution and 3) with IoT alone cities are deemed to be partially smart. Lastly, our findings indicate that we require proper algorithms and analytics that would be inclusive of these two crucial components i.e. being autonomous and self-learning in the Business architecture layer in order to realize a truly Smart City status.