OEM. Three letters, many interpretations. In this article, we define Original Equipment Manufacturer (OEMs) as a company that designs, builds, integrates, and delivers a complete machine or production system under…
As data volumes continue to grow at the device edge, sending all data to the cloud is no longer feasible. Increasingly large amounts of data are generated at edge locations,…
Kubernetes changed how software is built and operated in the cloud. It excels in data centers with stable networks, elastic resources, and teams that can respond quickly when something goes…
Forward-looking retailers are increasingly relying on an in-store combination of data collection through IoT devices with various types of sensors, AI for decisions and transactions on live data, and digital…
Industrial automation has long relied on hardware PLCs that are reliable but rigid. Control logic is tightly bound to specific devices, updates are slow and manual, and scaling across multiple…
An Edge Operations Platform enables organizations to deploy, operate, and secure software across large numbers of distributed edge locations. EdgeOps brings automation and orchestration to edge computing, making it possible…
Five years sit somewhere between that feeling of long and full days, but short years. As a company, we have undertaken many projects, but there’s still a sense that time…
As vehicles transition into software-defined platforms, the need for a robust development and deployment environment becomes increasingly clear. The shift from distributed ECUs to centralized, Linux-based computers fundamentally changes how…
When you first start to deploy edge workloads, everything will look simple enough: a few sites, some containers, and a stable network. But eventually, it’s time to scale. The number…
I have noticed a significant increase in pressure among our users to implement AI at the edge over the past couple of months. Applied AI is becoming mainstream, and some…