Smart manufacturing and digital transformation, coupled with edge intelligence, are enabling manufacturers to increase productivity, reduce downtime, and increase product quality. A key factor in the success of this transformation is the deployment of intelligent edge-computing solutions that can bridge the gap between the operation technology (OT) and the information technology (IT) worlds by providing a number of benefits.
The world today is witnessing a new age of digital transformation that will also require manufacturers to rethink their existing business models and corresponding industrial automation infrastructures. To remain relevant and competitive in the age of “Industry 4.0”, manufacturers need to do more than simply adopt digital technologies and deploy pre-defined processes in isolated islands of automation as they have done in the past.
It is inevitable that the adoption of the Industrial IoT (IIoT) is going to continue to grow, facilitating more and more devices to be connected to networks. The momentum driving this trend is a strong desire from asset owners to enhance operational efficiency. However, achieving enhanced operational efficiency is not without problems.
Data mining is transforming the face of factory automation. As factory automation is all about faster, smarter, and more efficient production, unlocking the vast, untapped potential of data on shop floors has been the driving force behind factory automation’s transformation for some time now.