Edge computing - the next frontier in digital transformation and innovation
Edge computing is the next frontier in digital transformation and innovation for organizations leveraging high-volume data faster in real-time. Find out where it’s headed and how verticals are embracing it.
The world is on the cusp of a paradigm shift. Technological developments such as autonomous robots, self-driving cars, and automated retail experiences await breakthroughs in edge computing, which are gradually getting there. The tremendous real-time data is about to be leveraged for cutting-edge innovation.
Gartner defines edge computing as “part of a distributed computing topology where information processing is close to the edge, where things and people produce or consume that information.”
Edge computing reduces latency and bandwidth use and minimizes processes in the cloud, moving them to a node, an edge server, or an Internet of Things (IoT) device.
Around 2025, organizations will accelerate digital transformation by building autonomous vehicles, using IoT devices in homes, offices, and cities, creating high-res content for 360-degree videos and leveraging augmented reality and 5G communications.
Sending data generated at such volume and speed to a centralized data center or cloud can lead to bandwidth, latency, and energy issues. The edge enables real-time processing and allows devices to make data-based decisions instantaneously, forming the bedrock of any innovation.
Edge computing, combined with technologies such as AI, can help find patterns in data, support ML and drive decision-making in real-time.
Data processing at velocity with cost savings and improved security
Here are the benefits of edge computing Gartner cites in the Planning Guide for Cloud and Edge Computing:
Cost savings - Edge data systems warrant lesser investment in hardware and maintenance and enable steady scaling to account for any growth in the demand cost-effectively. As it becomes increasingly costly to support legacy applications, making a case for traditional data centers will be harder.
Emerging technologies - Edge allows data processing at velocity, enabling sensors and robots to make hyper-quick decisions and supports the evolution of the IoT and newer application types, revolutionizing everything from autonomous vehicles to assembly-line quality checks.
Improved latency - In cases like self-driving cars and remote telesurgery, there is a little window for latency. Edge fulfills requirements for extremely rapid turnarounds in real-time.
Better security - Processing sensitive data at the edge improves reliability and safeguards privacy. In cases such as wearable health devices, regulated data can be processed locally, meaning securely.
Edge computing will drive innovative solutions across industries
The low-latency and blazing speed available through 5G networks and real-time insights from edge computing will drive innovative solutions across industries:
Manufacturing - Industry 4.0 relies on intelligent automation to achieve the next levels of interconnection in plant floors and communication in ecosystems.
Supply chains - Suppliers get empowered to respond quickly to volatility in demand through real-time, insights-led, just-in-time supply chains.
Healthcare - Real-time processing and automated AI apps bridge the gap between care providers and remote patients in real-time.
Field workforce - Edge-enabled devices allow field workers to access secure corporate data even in disconnected locations.
Logistics - Edge-powered fleet management allows optimizing load, mode, and routes to balance workloads and manage last-mile logistics.
Autonomous vehicles - AI processing localizes quick data digestion and autonomous decision-making in automobiles, extending use cases to mining, oil and gas exploration, and other industrial product applications.