CLOUD & 5G
“Privacy , security , data stewardship , processing and transparency are on people ’ s minds ” MICHAEL BECKER PERSONAL DATA & IDENTITY WORKING GROUP CHAIR , MOBILE ECOSYSTEM FORUM
trust principles and processing data locally at the edge , telecom providers significantly bolster data privacy and security , which , in turn , offers robust protection for users .”
Telecom operators have also been prioritising sustainability and reduced energy costs ( well , what sector hasn ’ t ?). Fortunately , AI plays a vital role in network energy efficiency – particularly at the edge in usually unstaffed locations .
“ Using AI to gain insights into equipment usage patterns , operators can automate energy management processes and improve energy consumption at edge locations ,” he shares .
Finally , telecom operators can leverage AI-ready infrastructure at the edge to launch cutting-edge services tailored to individual customer needs and preferences .
“ By offering inferencing services at the edge , operators can provide customers with fast , personalised and context-aware solutions ,” he says . “ This approach not only elevates user experiences but also unlocks new revenue streams , fostering growth and competitiveness within the telecommunications market .”
The rapid adoption of edge computing and its growing role in data processing and AI is being driven by the marked increase in data-generating technologies , like the IoT and sensors , from over the last two decades .
“ However , the speed of data creation has started to outpace the speed of data processing , which is becoming a big problem for businesses in our new age of AI ,” shares Manish . “ Edge computing enables bringing AI to the data , closer to where the data is generated .”
mobile-magazine . com 131