According to research studies, the warehouse automation market is forecast to reach $ 27 billion by 2025. 5G and edge computing is driving down the cost for autonomous mobile robots (AMRs) because compute is more available closer to the source of the data being generated by the AMRs.
Enterprises are increasingly complementing their cloud-based IoT solutions with edge computing to accelerate the pace of data analysis and make better decisions, faster.
Edge computing installations have become increasingly business critical. Deploying and operating IT at the edge of the network comes with unique challenges. Solving them requires a departure from the traditional means of selecting, configuring, assembling, operating, and maintaining these systems.
This paper describes a new emerging model that involves an integrated ecosystem of cooperative partners, vendors, and end users. This ecosystem and the integrated micro data center solution it produces, help mitigate the unique challenges of edge applications. Download this white paper to help mitigate edge challenges.
Edge Computing: The growth of IoT and the empowerment of real-time analysis in edge devices are helping to create a new era of technological efficiency, cost control, and security. That’s a great value proposition for businesses that want to stay competitive and lead their markets.
When planning an Edge Data Center (EDC) deployment, the need to address availability of planned workloads to ensure resiliency is a top priority. The key characteristics of an EDC can be significantly different than those that top the list for larger enterprise or multi-tenant data centers. To help balance the costs and operational aspects of any EDC strategy, this paper outlines a number of critical questions that should be addressed to ensure resiliency at the edge.
As building owners and manufacturers look to the future, the option to reuse infrastructure to evolve existing analog, serial, and legacy communications applications to a unified Ethernet network is exciting and shows promising results
Sports and fitness technology—once a matter of wearable trackers and mobile apps—provides intelligence to and about athletes, trainers and sports fans. Over the past decade, systems have been installed to identify athletes’ location, movement and performance while predicting health hazards.
Edge computing isn’t the future – it’s here. 5 ways edge computing is already transforming the cloud native experience today including: improving retail and inventory management in retail; manage the lifecycle of embedded devices; Edge is playing a critical role in the evolution of retail; leveraging knowledge of Kubernetes; securing remote locations and devices; and using predictive analytics in manufacturing
Agriculture (23%) has emerged as the leading industry for IIoT and edge computing technology, followed by industrial automation (22%), automotive (20%), and energy & smart cities (17%).
Autonomous vehicles, security, workplace safety, energy facility remote monitoring and machine automation, are five examples of edge computing in action.
