5G technology is already having a transformative impact on the economy, spurring economic growth by: Creating new industries, products and business models. As 4G unlocked the app economy, 5G is poised to unlock higher bandwidth, near real-time responses, the industrial Internet of Things (IIoT)...
Imagine a world where your devices do more than perform tasks—they make smart decisions instantly. This is the reality of Edge AI, enabled by the convergence of IoT devices, the advancement of edge computing, and recent leaps in AI technology. This blog will introduce you to the concept of...
Vice President of Edge Computing & Channel Strategy for the Secure Power Division of Schneider Electric Jamie is responsible for enabling the Secure Power Division commercial strategy and ensuring that Schneider Electric aligns to the market evolutions related to Edge Compute, IoT, and other disruptions...
ROI is something that the IoT space lacks, causing proof of concepts to fail. One early use case for IoT -- smart meters -- is an instance where it's simpleto work out the ROIas organizations don't have to send meter readers to sites and there is an immediate cost benefit. But, wi...
Why is edge computing important? The amount of data that we produce and use each year is growing exponentially. Technologies like the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) are generating massive amounts of data. And as billions of devices connect to...
Edge computing provides a cost-effective and secure way of running an IoT solution. It combats data latency and is especially useful in situations where instant reaction of the solution is required. With the Squid.link gateways, solution providers can la
Connecting edge devices toIoT platformscan be hard. And the process is prone to security risks, ecosystem lock-in, burdensome development costs, and issues related to rapid scaling. As a result, business leaders are empowering product developers to implement thin edge deployments in order to: spe...
Advances in compute infrastructure: Powerful distributed computational power is required to run AI at the edge. Recent advances in highly parallel GPUs have been adapted to execute neural networks. Adoption of IoT devices:The widespread adoption of the Internet of Things has fueled the explosion of ...
Key steps to implement edge computing Here are the main steps that must be taken to get edge computing right. 1. Decide how much intelligence there will be in your IoT devices. The more intelligence per device, the less intelligence is needed in the edge servers themselves. This is due to...
Managing the Data Tsunami: How AI and Edge Computing Will Enhance IoT AnalyticsMark Hung