Steigerung der Effizienz von Glasfasertechnikern mit KI vor dem Hintergrund des Arbeitskräftemangels.

Ein Außendiensttechniker betrachtet sein Arbeitstablett, das in die Computer-Vision-Plattform von Deepomatic integriert ist.

As leading telecom communications operators and their subcontractors have entered the race to roll out fiber optic networks, many of them have encountered difficulties in meeting their deadlines. This is due in no small part to the limited pools of field workers available to build the network. The subsequent question is: how can they maintain a high level of quality of service despite these labor issues?

In this webinar, discover how image recognition applied to routine field photos enables telecom companies to perform quality control and work acceptance in real time and automatically, and contributes to alleviating labor tensions.

Come learn how AI is being used in fiber roll-out to increase technicians’ efficiency and allows telecom companies to scale their operations while reducing operating costs, without compromising on quality.

Sprecher
Aloïs Brunel
Aloïs BrunelCPO
Ralf Gugelmann
Ralf GugelmannHead of Rollout, Maintenance & Single Project - Swisscom AG
Roland Montagne
Roland MontagnePrincipal Analyst FTTH, Broadband Markets - IDATE DigiWorld

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