Solutions AI at the edge Deploying artificial intelligence directly on edge devices allows for immediate data processing, essential for applications like autonomous vehicles and smart surveillance. This approach reduces latency and enhances decision-making capabilities in mission-critical operations. Read More Storage at the edge Storing data near its point of origin minimizes latency and alleviates network congestion. Edge storage solutions are designed to be robust and secure, ensuring reliable data access even in challenging environments. Read More Containerized desktop infrastructure at the edge Utilizing containerization technologies, such as Kubernetes, enables efficient deployment and management of desktop environments at the edge. This setup offers scalability, portability, and streamlined operations, meeting the demands of distributed edge systems. Read More 5G at the edge The integration of 5G networks with edge computing enhances connectivity by providing high-speed, low-latency communication. This combination supports real-time applications and the seamless orchestration of autonomous systems, transforming industries like manufacturing and healthcare. Read More Service now at the edge Implementing ServiceNow's platform at the edge enables real-time monitoring and management of IoT devices and applications. This approach facilitates prompt responses to incidents and optimizes workflows, enhancing operational efficiency in edge environments. Read More
