Virtualization, Cloud, Analytics
Users need to be able to capture more precise insights at the edge and make real-time intelligent decisions in the cloud to make the Internet of Things (IoT) valuable.
Webinar participants outline evolving nature of Industrial Internet of Things (IIoT) elements and how users are applying the edge, fog and cloud in their manufacturing operations.
A framework is being developed at the Department of Energy’s (DOE) Argonne National Laboratory that cloaks sensitive data, which allows grid operators to securely perform complex calculations in the cloud.
Embedded vision systems are being used to track human eye movements and determining, which is improving virtual reality (VR) applications.
Improving data visualization and implementing cloud-based remote access is also the first step to implementing the Industrial Internet of Things (IIoT) and Industrie 4.0 applications for said data visualization.
Simulation, modeling, and virtual commissioning are becoming easier to apply on different levels in automation. Interfaces to third-party simulation tools may be built into your software development suite already.
Using the cloud for data logging and remote access can improve operations, cut costs and simplify interactions.
Many companies are turning to cloud computing to handle the large data flows coming from their machine vision systems.
Articles about the 2019 System Integrator Giants, Engineers' Choice finalists, marshaling virtual resources, clean water benefits, and automating a manual valve were Control Engineering’s five most clicked articles from December 24-30, 2018. Miss something? You can catch up here.
In a tight job market, finding outside partners is a global process