In the last few years, manufacturers and industrial organizations around the world have been investing more heavily in digital programs and initiatives to help accelerate the era of IT-optimized smart manufacturing.
In fact, in the United States, the number of industrial device-to-device connections is expected to rise to nearly 180 million in 2020 from approximately 50 million in 2014. In China, the rise in machine digitalization is projected to be double that of the U.S. in 2020.
As digitization provides a path to frame, define and create Industrial Internet of Things (IIoT) strategies, many organizations have started to look at what is possible in the age of Industry 4. 0 by embracing smart manufacturing.
However, despite global businesses' rapidly increasing ability to unlock value from information, most companies are still nowhere near capable of dealing with the flow of information across the extended enterprise. Manufacturers, for example, face intense pressure to improve the way they manage product and engineering information.
Manufacturers' first-generation processes and systems, built on 20-year-old technologies for 20-year-old computing environments, can't meet new demands. They're being left behind as new needs emerge for content management, process management and information collaboration.
Ad-hoc workarounds often leave content insecure, out of compliance, or out of date.