A challenge lies in that fact that every single smart device connected to the IoT generates huge amounts of data. All of this information must be processed and analyzed to successfully take advantage of the opportunities presented by Industry 4.0.
As an industrial manufacturing engineer writing and speaking about the supply chain for many years, as well as being in the field helping companies for most all of my career, I wanted to pass on some thoughts and information for those of you that are considering this type of deployment option - especially if your mission-critical business depends upon a working cloud.
UrsaLeo is an IoT platform company that aims to make it easy for companies to collect their sensor data in the cloud, store it, visualize it and integrate it with other IT systems. This is done in a highly secure and scalable fashion.
The consolidated view of the data dramatically simplifies comparisons across factories. With that it is much easier to identify inefficiencies (e.g. product not passing QA, volume of left over scrap) and differences in output.
By embracing the cloud, manufacturers no longer simply collect data but instead, gain actionable insights from it. Whether its for quality improvement, sales forecasts or preventative maintenance, predictive analytics or machine learning can give manufacturers an edge over their competitors and possibly, a complete new service to sell.
These success stories seek to highlight the industry-level challenges faced, the resulting automation and motion control requirements that need to be addressed, the results that can be achieved and the key platform strategy that allows customers to distinguish themselves in the worldwide market. Download the WhitePaper.