Edge Computing
Unite and integrate multiple computing systems & devices located anywhere across your physical environments with your data & applications to produce deep insights in a timely manner.
An edge weather monitoring device in a cornfield
What is Edge Computing?
Much of the critical data collected by modern applications is performed through devices and sensors that are physically located away from where data is typically processed. This presents a challenge to organizations that seek to deliver responsive, zero-latency application experiences at the speed and accuracy necessary to support user expectations.
Edge computing brings the processing capabilities out to where the data is being generated, thereby eliminating latencies and increasing the responsiveness of associated apps and services. In concert with cloud-based machine learning models, organizations can leverage edge computing to improve their processes and offerings over time while consistently maintaining usability and customer satisfaction.
Our Edge Computing Solution Areas
IoT Gateway Appliance
We offer an “out of the box” IoT Gateway Appliance that interconnects devices, aggregates your data, and inferences AI models at the Edge to minimize latencies.
Unified Data Estate
We blur lines between data storage types and locations, eliminating data siloes and offering real-time contextual insights across your entire data estate.
Advanced Simulation at the Edge
Our HPC+AI capabilities handle highly complex simulations to enhance performance of digital twins and transform how data is processed and utilized in real-time environments, ensuring higher precision, faster decision-making, and greater scalability.
Fabric of Intelligence
We execute parallel machine learning with containers on the Edge and in the Cloud to optimize insight extraction for both immediate and long term organizational value.
Digital Twins
Our edge accelerators enable the creation of digital twins that process critical data locally through edge inferencing to provide real-time insights and continual monitoring, reducing the risk of complications and disruptions.
Our Differentiated Value for the Edge
Organizational Agility
Our Gateway Appliance enables you to integrate new IoT devices at the edge with ease, aggregating data and processes while maintaining workflow integrity as you scale.
Intelligence at the Edge
Our Edge Solutions help extend cloud out to the edge, enabling machine learning and containerized AI at the edge to deliver the most comprehensive insights and intel possible.
One Lens for All Your Data
The Edge is an opportunity to centralize your data assets. Our Unified Data Estate blurs the lines between file types and locations, giving you a single point of search, access, and control for all your data.
Edge Computing in Industries
- Manufacturing
- Healthcare
- Retail
- Public Sector
- Transportation
- Energy
- Telecommunication
- Agriculture
- Finance
- Semiconductor
Manufacturing
Edge computing can optimize production floor processes by providing real-time data analytics for equipment monitoring, predictive maintenance, quality control, and supply chain management.
Healthcare
In healthcare, edge computing can support remote patient monitoring, wearable devices, and real-time data analysis for diagnosis and treatment. It can also facilitate the operation of medical devices and equipment in hospitals and clinics.
Retail
Retailers can utilize edge computing for inventory management, personalized marketing, in-store customer analytics, and cashierless checkout systems. It enables faster processing of transactions and enhances the overall shopping experience.
Public Sector
Edge computing enables various public sector applications such as traffic management, public safety, environmental monitoring, and utility management. It allows for the integration of IoT devices and sensors to improve city services and infrastructure.
Transportation
Edge computing enhances fleet management systems, optimizing routes, monitoring vehicle performance, and ensuring timely delivery. It also supports autonomous vehicles by processing data from sensors and cameras in real-time.
Energy
In the energy sector, edge computing can optimize power generation and distribution, monitor equipment health, and enable predictive maintenance for renewable energy sources such as wind and solar farms.
Telecommunication
Edge computing helps telecom operators deliver low-latency services such as video streaming, online gaming, and virtual reality applications. It also supports the deployment of 5G networks by distributing computing resources closer to users.
Agriculture
Edge computing assists farmers in monitoring crops, managing irrigation systems, and optimizing resource usage based on real-time data collected from sensors and drones. It enables precision agriculture techniques to improve crop yields and reduce environmental impact.
Finance
In the finance industry, edge computing enhances security systems, fraud detection, and high-frequency trading by processing transactions and analyzing data closer to the source. It also supports personalized banking services and customer interactions.
Semiconductor
Edge computing dramatically augments the semiconductor sector by enabling real-time data processing and analysis at the source, thereby enhancing production efficiency, reducing latency, and improving the accuracy of design and quality control processes.