Integration of Mechanical and Manufacturing Engineering with IoT

6Opportunities: Machine Learning for Industrial IoT Applications

Poongodi C.¹*, Sayeekumar M.¹, Meenakshi C.² and Hari Prasath K.¹

¹Department of Information Technology, Vivekanandha College of Engineering for Women, Trichengode, Tamil Nadu, India

²Department of Computer Applications, VELS University, Chennai, Tamil Nadu, India

Abstract

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 ...