--- title: "Enterprise edge computing and AI in the 5G era" url: "https://cradlepoint.ericsson.com/glossary/edge-ai/" description: "5G-enabled Edge AI brings AI compute to enterprise locations, deploying and running AI models at the edge with hybrid edge and cloud processing over 5G." content_type: "page" breadcrumb: "[Home](https://cradlepoint.ericsson.com/) › [Glossary](https://cradlepoint.ericsson.com/glossary/) › Edge AI" gated: false --- # Enterprise edge computing and AI in the 5G era Leveraging AI has become a strategic priority for enterprises worldwide, as the broader adoption of AI is driving the need for Edge AI processing and compute capabilities. Ericsson, a leader in wireless WAN edge technologies, is at the forefront of this evolution, collaborating with leading Computing and AI industry partners to develop Edge AI solutions that meet the demands of this changing edge landscape. ## Edge AI combines computing and artificial intelligence, enabling AI to be processed at the enterprise edge 5G enabled Edge AI provides 5G connected AI compute capability at enterprise on-premises locations, enabling deployment and inference of AI models at the edge. The 5G connectivity supports the hybrid processing of data across edige and cloud environments. Edge AI ensures rapid response times by offering: - Low latency for real-time insights and decision-making - Enhanced privacy by keeping data localized - Greater robustness in unpredictable WAN environments - Optimized network bandwidth usage for efficiency by eliminating costly backhaul costs Edge AI is used for critical applications across industries like retail, automotive, manufacturing, healthcare, energy, and IT. ## Why 5G for Edge AI ![Essential connectivity for Edge AI](https://images.contentstack.io/v3/assets/blt2588e757607604a2/blt027cef9155cc5344/69e549a3b93865295a3ee32a/cloud-RAN.svg) ### Essential connectivity for Edge AI In many areas where edge devices are located, traditional connectivity options may be limited or unavailable. For mission-critical AI-enabled applications, a cellular primary or backup connection can be vital to ensure continuous operation. ![Optimized for OT environments](https://images.contentstack.io/v3/assets/blt2588e757607604a2/blt6af1e33d20efc6bd/69e54aad69cf902e90a4893e/manufacturing-iot.svg) ### Optimized for OT environments Edge AI applications often reside in operational technology (OT) environments, such as factories, where network setups are optimized for low latency and high reliability. These configurations are preferred to meet the stringent demands of industrial processes ![5G's role in Edge AI advancement](https://images.contentstack.io/v3/assets/blt2588e757607604a2/bltb7ee4617fae4c58f/6ae10124f59c3f1c85ce60b3/5G-antenna.svg) ### 5G's role in Edge AI advancement The integration of 5G connectivity with Edge AI solutions enhances their performance and reliability, making them suitable for dynamic and challenging environments. ## What is computer vision Computer vision is a technology that enables machines to interpret and analyze visual data by performing tasks such as image recognition, object detection, and scene analysis locally. When integrated with 5G-connected Edge AI computing, it facilitates real-time decision-making and responsiveness in applications like surveillance, quality control, and safety monitoring. This local processing reduces latency and bandwidth usage while enhancing privacy and security by minimizing the need to transmit sensitive visual data over networks. ## AI use cases ![Smart manufacturing and industrial automation](https://images.contentstack.io/v3/assets/blt2588e757607604a2/blt6324d84e9246c2fd/6a55aded636a7d3a812cd2a1/edge-ai-manufactoring.jpg) ### Smart manufacturing and industrial automation In a smart factory, computer vision applications can be used to monitor and control industrial machinery in real-time. Edge AI systems can process data from sensors and cameras locally to detect anomalies, optimize production lines, and predict equipment failures before they occur. The 5G connectivity ensures low latency and reliable communication between devices, enabling rapid response and continuous operation without the need for cloud dependency. ![Traffic safety](https://images.contentstack.io/v3/assets/blt2588e757607604a2/blt269bb8604f28cdcd/6a55adf0131518491163bd77/edge-ai-traffic.jpg) ### Traffic safety Computer vision and Edge AI can significantly enhance traffic safety by enabling real-time data processing of traffic cameras or sensors, for rapid detection of anomalies, such as accidents or traffic congestion. This allows for timely responses and alerts to drivers and emergency services. Additionally, these solutions can facilitate adaptive traffic management systems that optimize signal timings and traffic flow based on current conditions, reducing the likelihood of accidents and improving overall road safety. ![Healthcare](https://images.contentstack.io/v3/assets/blt2588e757607604a2/blt07d88d108511f0cf/6a55adeb342a691e21852ec8/edge-ai-healthcare.jpg) ### Healthcare Computer vision and edge AI can greatly enhance healthcare operations by enabling real-time analysis of patient data at the point of care. For example, edge AI-powered cameras and sensors can continuously monitor vital signs or detect patient falls, providing instant alerts to caregivers for timely intervention. With localized data processing, these systems ensure that sensitive health information remains secure and private, minimizing exposure to cyber threats. Additionally, leveraging 5G connectivity allows for rapid, reliable communication between devices and healthcare teams, even in remote settings. This approach not only improves patient safety and care quality but also streamlines clinical workflows and supports efficient, responsive healthcare delivery. ![Retail](https://images.contentstack.io/v3/assets/blt2588e757607604a2/blt87c9ab26c0040799/6a55adef1edcf8b187a92c98/edge-ai-retail.jpg) ### Retail AI applications can transform retail experiences by providing personalized recommendations and promotions directly at the point of sale, based on real-time analysis of customer behavior and preferences. Localized processing allows for swift adjustments to inventory and pricing strategies in response to immediate demand patterns, enhancing operational efficiency. Furthermore, Edge AI can improve security and loss prevention by quickly identifying suspicious activities or potential theft through computer vision analysis, without needing to send data to the cloud. Ericsson’s commitment to Edge AI extends beyond innovation to include strategic partnerships and practical solutions. As a leader in wireless WAN edge technologies, Ericsson collaborates with industry pioneers to advance the capabilities of Edge AI. Our tailored solutions are designed to meet the evolving needs of enterprises seeking AI processing at the edge by augmenting compute power with seamless connectivity.