With the edge set to transform every aspect of life and business, businesses must embrace collaboration and leverage ecosystems that allow them to capitalize on all their opportunities. Edge computing is already bringing digital services to the next frontier, working in synergy with critical technologies like AI and 5G. Among Intel customers alone, there are now over 24,000 edge deployments generating real business value, helping companies grow and innovate in this new era of distributed intelligence.
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About the Key Insights:
Retail:
Data analyzed at the edge corrects massive amounts of inventory distortion, while making supply chains and product development incredibly efficient. The edge is providing retailers with real-time consumer behavior analysis, empowering them to deliver more personalized experiences. Intel customer WonderStore’s shop window conversion rate improved by nearly 17% since deploying edge technologies.
Industrial:
AI-based robotics are being used to perform repetitive and potentially hazardous tasks with greater speed and accuracy than humans. Machine vision is also being used to validate features and check for defects, helping to deliver the highest-quality product possible. These edge deployments helped Intel customer Audi boost weld inspection speed by 100 times with just 18ms of latency.
Healthcare:
Edge computing is helping to deliver a higher quality of care and clinical efficiency by enabling frequent patient monitoring and data collection, integration with electronic health records, and AI-powered patient data analysis. The deep-learning inference is used in image-based diagnostics to speed the detection of health issues and save lives.
Telecommunications:
Driving network and operational efficiency, machine learning can help telecom operators increase network and operational efficiency to meet rising service level expectations while simultaneously reducing costs. With AI and analytics-based engines, operators gain the ability to intelligently manage 5G networks to achieve key network KPIs, network automation, energy savings, and operational flexibility to serve a wide variety of 5G and edge use cases.
