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Managing Edge AI Projects on a Large Scale
In this technological era, billions of IoT devices are being connected to the internet, with data expected to be processed at breakneck speed. Edge AI has afforded us with low latency, high privacy, and the effective use of network bandwidth for smarter and more effective ways to manage across systems and solve business problems. But how exactly does edge AI work? And what are some of the concerns System Integrators (SI) and Managed Service Providers (MSP) have when it comes to managing large-scale edge AI?
Offset COVID-19 Quarantine Fears and Prepare for Contingency Plans
Allxon Provides Just-in-time Remote Device Management Services for Tax-free Stores in a Japanese Airport
Passenger Information Display Systems Stay Optimized with Smart City Application
Allxon Edge Architecture Granting Passengers the Smooth Journey They Deserve
Upgrading Onsite Technical Support with Efficient Remote Device Management
Power ON and Think Smart: Allxon Out-Of-Band Power Cycling Service Keeping All Business ON
Accelerating AI Model & Software Updates on Edge AI Devices
Allxon’s Over-The-Air Services Help Build Public Trust
Top 5 Challenges in Managing Edge Devices Faced by SI/MSP
In a fast-growing tech-dependent world, travellers demand the most up-to-date, real-time transport information.
How Japan’s Healthcare is Improving Elderly Patient Monitoring Through Remote Management Service
COVID-19 quarantine has opened our eyes to the usefulness of remote healthcare monitoring