Existing industrial automation and manufacturing systems have produced expansive amounts of data. But many organizations struggle to make sense of this available data. Root-cause analysis, process improvements, and operational decision-making become time-consuming if not nearly impossible.
Predictive maintenance and performance optimization can reduce machine downtime by 50%, thereby increasing factory capacity. Automation and connected systems also free engineers from having to manually collect and process data. This can increase employee productivity by 50%.
Using IIoT and artificial intelligence, you can drastically reduce the number of PDCA cycles required to bring a new product to market. This means you can introduce products much faster. In an economic climate of rapidly changing demand, this increased agility can become invaluable.
Willem Sundblad is the co-founder and CEO of Oden Technologies, a company empowering manufacturers to make more, waste less, and innovate faster through machine learning and applied analytics. He is a leading voice in Industrial IoT and is pioneering the use of real-time and predictive analytic tools that uncover untapped value.