数字化转型
电信
计算机科学
范围(计算机科学)
订单(交换)
商业智能
数据中心
大数据
数据科学
面子(社会学概念)
知识管理
工程管理
业务
万维网
工程类
数据挖掘
社会学
操作系统
程序设计语言
社会科学
财务
作者
Christos A. Gizelis,Konstantinos Nestorakis,Antonios Misargopoulos,Filippos Nikolopoulos-Gkamatsis,Michalis Kefalogiannis,Polyxeni Palaiogeorgou,Antonis M. Christonasis,K. Boletis,T. Giamalis,C. Charisis
标识
DOI:10.1080/12460125.2022.2078554
摘要
AI is a technological advancement used nowadays extensively by telecoms to take decisions based on the vast amounts of data they own and to optimise their daily operations. Hence, a question being raised amongst experts in this industry is how AI can be applicable in the various functions of telecoms. This paper showcases how the telecommunication industry could adopt Artificial Intelligence mechanisms into daily tasks and operations, in order to better utilise available data and accelerate digital transformation. The scope of this paper is to analyse and explore the opportunities and the challenges that have risen in telecommunications organisations, but more precisely, describes experiences from the IT Innovation Center of OTE Group that investigates and validates AI-related technologies in real business scenarios, aiming to boost and even further the organisation's digital transformation and engagement in future markets. However, as depicted in this paper, although the numerous opportunities, telecoms face many obstacles which they try to overcome in this AI journey.
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