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Cloud computing has been researched around the world initially to envisaged to imagine combining silo entities through integration such that synergy is established hardware and software application utilization, with security protection concern initially. Recently, however, it has been studied to have hyper organizational performances based on machine learning, Big data, and artificial intelligence amongst specialized academic entities to improve the organization's strategic performance and staff job satisfaction. Challenges and problems are emerging from complexities within all phases of convergence as expected within Information Technology as a result of different structural designs and developmental hybrid formations (Sabahi, F., 2012).
The objective of this paper is to try to unfold all processes and the conceptual hypothesis that relates to human (end-user), process (design), and technology (productive/engineering outcomes). The body of knowledge can be used as an underlying foundation for converging technologies through bundling and unbundling constraints. This will assist the organization and management to explore and ensure continuity of internally and externally (outsourced) systems. The existence of converged systems in myriad forms based on software, hardware, and its mixes espouses to different degrees of performances and executions. Research indicates that Information Technology convergence systems that are scalable and agile are economical and sustainable (Furht, B., & Escalante, A., 2010). This means more to users and companies in terms of dynamic collaborative services and scalability of merged modules due to modularity’s in addressing socio-economic needs and demands not forgetting associated dilemmas and problems globally if not geo-location. dependencies. Literature has established that due to the myriads of web browsers, programming languages, plug-ins, operating systems, just-in-time fixes, it is becoming challengingly impossible to have a finite conclusion on cloud-based system status to its evolutionary nature and emancipatory characteristics. This creates difficulty to amalgamate silo systems and processes converged through interfaces and integration, not mentioning the labor, time, energy, monitoring, and management needed to forage through such mammoth converging projects and tasks. Further challenges and problems are emerging from complexities within all phases of Information Communication and Technology, some due to adaptability, others structural weakness in the model used, coupled with that are results of different structural designs (Hu, F et al. 2011) and developmental hybrid formations.
The objectives of this paper are two unfold. Firstly examine and unearthing the challenges in cloud technologies and secondly possible amelioration techniques or approach in mitigating the unearthed problems.
There is a consistent challenge involved whenever two or more silo systems are combined or integrated. The challenges espouse integration systems (module) overlays between hardware and software application modules and its related designs. Improvements are done to accommodate new and old web browsers, plugins, programming language, edge computing, artificial intelligence, Big ‘Hadoop’ data, and other seamless methodologies. The inter-connectivity amongst myriads of cloud computing designs (Fehling, C. et al., 2014), places convergence bundling and unbundling into high uncertainties. This indisputably places systems into standard adaptations and interoperability challenges which still have to be subjected to a different body of knowledge and standards, that may end up with different ratings, yet common content. This narrative then brings into sharp focus for further research into mainstream contention and for which some remain unanswered amongst academic institutions/forums. Thus advancing improved synergistic integration of systems aligned with the organizational business process and its objectives entailing challenging processes.