IIoT

Smart manufacturing encapsulates the use of sensors and entire systems that have become more intelligent, with increased networking and vast amounts of available data. Industrial Internet of Things (IIoT), Industry 4.0, and digital transformation are a few of the principal trends describing the ubiquity of devices and the increased connectivity to those data sources in the manufacturing environment. Add in advanced analytics and manufacturers can capture crucial insights that inform users on how to improve operational efficiency and reliability.

While automation is accelerating business intelligence across industries, many industrial operators lack the staff and experience to pilot new automation projects, relying instead on system integrators. By developing core competencies in emerging technologies like edge computing, system integrators can position themselves as trusted partners and drivers of innovation.

There is so much happening today with the Industrial Internet of Things (IIoT), from the continued recovery of manufacturing organizations amid the…

Edge computing is moving away from the “edges” to become a mainstream approach and an important consideration in industries where real-time data is needed to drive better business decisions. We look at four key factors driving the success of edge computing.

The connection between big data and AI has greatly expanded the possibilities and is expected to play an active role in various fields. How will big data and AI create new value? Introducing the fields of utilization of AI and big data, and the relationship with edge computing.

Local 5G is a network that is expected to be used in the industrial field. What is the difference between a typical 5G or an existing network and a local 5G? In this article, we will introduce the characteristics of local 5G, the areas in which it is expected to be utilized, and the benefits that can be brought about.

With the spread of IoT and the evolution of devices, “data that can be collected” is rapidly expanding and becoming huge. At the same time, big data has attracted attention. We will introduce what big data is and what problems there are in operation.

The use of big data analysis is progressing little by little. Here, we explained the purpose and use cases of big data analysis, described examples of use in the industrial field and IoT field in particular, and finally briefly touched on the advantages of big data analysis and edge computing in the industrial field.

Preventive maintenance is said to be especially important in maintenance work. In fact, it is directly linked to the profit of the business. What is preventive maintenance and what does it mean? We will introduce the difference between preventive maintenance and post-maintenance, and predictive maintenance can be said to have further evolved from preventive maintenance.

IoT platforms have become an important keyword in IoT operations. In this article, we will explain what ioT platforms do, what roles, functions, and types they have, and introduce three important points when choosing an IoT platform.