Intelligent manufacturing transformation can bring great changes, such as connecting the sales organization with field services. Moving to the cloud also provides benefits such as an intelligent supply chain and innovations enabled by connected products.
After first emerging as the basis for the Bitcoin protocol, blockchain has since gained momentum as a way to digitize business processes that extend beyond the boundaries of a single organization.
There is a lot more data in the world than can possibly be captured with even the most robust, cutting-edge technology. Edge computing and the Internet of Things (IoT) are just two examples of technologies increasing the volume of useful data.
Extracting insights from multiple data sources is a new goal for manufacturers. Industrial IoT (IIoT) data is the starting point for new solutions, with the potential for giving manufacturers a competitive edge.
In the world of manufacturing, the Industrial Internet of Things (IIoT) has come, and that means data. A loT of data. Smart machines, equipped with sensors, add to the large quantity of data already generated from quality systems, MES, ERP and other production systems.
Quality assurance matters to manufacturers. The reputation and bottom line of a company can be adversely affected if defective products are released.
Technology allows manufacturers to generate more data than traditional systems and users can digest. Predictive analytics, enabled by big data and cloud technologies, can take advantage of this data and provide new and unique insights into the health of manufacturing equipment and processes.
If you are a manufacturer who wants to take its first steps towards IoT, and you’re overwhelmed by the plethora of vendors and IoT platforms in the IoT space, you are not alone. IoT is still a new space, with many moving parts and products.
In this article I discuss the biggest market opportunities for developers of IoT solutions. This is a topic of greatest interest to developers from independent software vendors (ISVs), and system integrators (SIs) who develop custom solutions for individual customers.
In a previous blog article Extracting actionable insights from IoT data I discuss the value of collecting IoT data from machines, assets and products. The whole point of collecting IoT data is to extract actionable insights.
