To fully realize its potential, IIoT must overcome two major challenges.

The Internet of Things (IoT) wave is sweeping the global industry, whether it's augmented reality (AR), data sharing, cloud computing or big data, all changing the way manufacturers manage products and assets.

According to reports, the Internet of Things (IoT) will continue to grow at a compound annual growth rate (CAGR) of 20% from now to 2021 in the product lifecycle management (PLM) and asset management markets, but the Industrial Internet of Things (IIoT) will fully realize its potential. Before, there are still two major obstacles.

IIoT needs to fully realize its potential. It must overcome two major challenges.

In the case of PLM, IIoT has to process and collect large amounts of data. In order to simplify the process management of product design, in the mid-1990s manufacturers began to adopt product data management (PDM) technology. Over time, PDM gradually catered to the trend of "customized" era. Later, PDM was dominated by collaborative product commerce (CPC), which facilitated manufacturers to use the network and technology to cooperate with global suppliers and customers.

However, when CPC is unable to meet the needs of new processes, PLM has emerged to help manufacturers improve the efficiency of each stage of the product cycle. The key is to integrate product information and business analysis, optimize product cycle, and software solutions rely on a unified data sharing system. And optimize communication facilities.

Today's Industrial IoT data helps to make informed and strategic business decisions to increase productivity and integrate data from all connected devices, but to truly realize these visions, the challenges of PLM must be overcome.

The first challenge is to obtain information. Only when the data is used effectively can the real value be realized. Otherwise, the longer the data is stuck in the PLM infrastructure, the more time it will take to maximize the value of the data. For example, if the manufacturer knows the turbine usage and maintenance records, it can predict when it will fail and how to increase the efficiency of the equipment.

The information shared and integrated by IIoT has a positive impact on all phases of the product lifecycle, but manufacturers must seek to freely distribute data in existing systems.

The second challenge is to share information. After obtaining the information, we must try to circulate throughout the value chain. Moreover, not only manufacturers can share information, but the information owned by the end customers can also help PLM planning, and can also improve operational efficiency.

Companies must also think about how to effectively address data ownership and security. The first step in data sharing is to ensure that individual systems are interoperable while maintaining a smooth communication channel for all machines and sensors. IIoT opens up a whole new world for manufacturers, and in order to seize the opportunity, manufacturers must take the initiative to overcome these challenges.

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