Abstract
New intelligent technology solutions are an enabling opportunity for innovation in the Internet of Things (IoT). These challenges call for more intelligent computing models (Digital Agent, Deep Learning, Semantic Networks, …) that enable rapid innovation for applications and service delivery. Big Data is a consequence of IoT applications as they are a major source of data. The Internet of Things delivers fast-moving data from sensors and devices around the world. The challenge for many organizations is making sense of all that data. Digital Agents can be used as a framework for modeling, understanding, and reasoning about them. In order to improve the efficiency of processing it is important to understand how these applications and the corresponding big data processing systems are performed in cloud computing environments. Therefore, we have implemented a set of measures to improve the architecture. A real case study is described.
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Rago, F. (2019). A Multi-tiers AI and IoT Architecture. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_19
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