Opportunities: Machine Learning for Industrial IoT Applications

Machine learning (ML) plays a vibrant role in Industrial Internet of Things (I-IoT) applications and deployments. The bridge between investments and acquisitions in startups is the Machine Learning and I-IoT for the past 2 years. ML-based analytics grabs the attention of major vendors of I-IoT platform software. As the I-IoT and ML grow, there is a change in the end user responding to the market in the way industries do business. The industries and customer-oriented companies may design and define the future and will create a trend of success with these technologies. For example, majority of computer technology companies have focused toward investing in I-IoT hardware components, such as sensor nodes, actuators, to provide connectivity, and real-time data analytics. In turn, it increases the access to substantial amounts of data engendered by their customers, and also, they can use it toward improving their services and products. Previously, there was a situation in handling of data was considered as the most difficult task, but now, the scenario has changed by making availability of the data as the treasure that every company has. By the power AI, I-IoT data can be transmuted, investigated, envisioned, and implanted across the entire ecosystem, edge devices, gateways and data centers, either in the fog or in the cloud. This chapter elaborates on ML and how it could be integrated with different industrial I-IoT applications for automation and to improve businesses.