IIoT combines machine learning and big data, which have been in use for many years in industrial environments to use sensor data, machine to machine (M2 M) communication, and automation systems. In particular, IIoT proves a large potential for quality control, sustainable and green practice, traceability of the supply chain, and overall efficiency of the supply chain. Although there are many common technologies in the internet of things and the industrial internet of things, including cloud platforms, sensors, connectivity, machine-to-machine communications, and data analysis, they are used in many different ways.
The IIoT poses security challenges on an unprecedented scale. With fundamental IIoT knowledge, these challenges become more evident. The IIoT leverages the power to connect industrial control systems (ICS) and supervisory control and data acquisition (SCADA) with corporate business logistics by using internet protocol (IP) networking.
The connected industrial environment today allows for highly independent assembly lines. Production can redefine and improve itself automatically and produce customized products on a large scale in custom batches, with full sale and order system tracing and connectivity, Enterprise Resource Planning (ERP) systems, supply chain systems, Work-in-Process WIP inventory, and delivery and order tracking systems. Robot vision and artificial intelligence machines can perform complex processes through collaborative robots or “cobots,” which work with people.
In order to secure IIoT, IT and OT professionals need to know the standards of IIoT along with machine protocols. It is highly imperative for them to manage existing control systems that originally did not connect to company networks but are now in the connection factory.
The IIoT is a huge change and a great opportunity. Many companies, however, do not know how to identify the qualifications that their employees need or the certifications they need. Nearly one-third of the world’s largest companies reported that they face a gap in IIoT capabilities. More than 50 percent say that they also need new technical skills. 41 percent indicate the need for better integration and analytics capacity, and 33 percent show the ability to replenish business modeling.
It is imperative that organizations create a talent development and purchase scheme that keeps employees' skills updated while technology and processes continue to change to compensate for IIoT security talent gaps and capitalize on the benefits of IIoT. By offering employees the training and certifications they need, companies are best able to remove security obstacles and achieve the desired business results in their related industrial environment.
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