Design and Implementation of Enterprise IoT Solutions

Abstract

Design and implementation of any engineering project would require plenty of careful planning and estimation. Especially Enterprise IoT projects have more challenges due to the involvement of multi-disciplinary challenges. This chapter tries to address the important concerns in initiating the implementation activity of an Enterprise IoT project. This chapter does not address the technicalities of implementation or the design procedure, but the higher level requirements for commencing the implementation. The use case development and technology choices for hardware and software are discussed in detail. There are several vendors who are manufacturing hardware devices for the Enterprise IoT solutions. They support various protocols and behave differently when it comes to data collection and management. Similarly, the software stack also very fragmented in nature. From the edge computing to cloud computing there are several options which are to be analyzed and chosen carefully. The implementation scope goes beyond simple data collection and basic processing. The technology landscape is dominated by few emerging trends which are changing the Enterprise works. The last part of this chapter discusses three major technology breakthroughs which needs to be considered while implementation is done. Big data analytics and Artificial Intelligence are gaining momentum in the development world nowadays. The algorithms and other basic concepts of Artificial Intelligence or machine learning were developed long ago. However only now we are able to get the large amount of data due to Enterprise IoT to experience the benefits of those algorithms. The Block chain technology is another game changer in the data management space. It has huge promises for security, immutability and other characteristics of data which have been desired for long. These latest advancements have been discussed in the last part of the chapter.