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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

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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

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