AI Use Cases for Telcos: Networks & Operations, Products & Services, and Customer Interactions
ページ情報: 英文 26 Pages
AI is driving telecom operators' digital transformation. It's set of available technologies including machine learning (ML), deep learning, computer vision, context-aware computing, robotics, predictive modelling, and conversational platforms have the potential to shift the economic paradigms for telcos at an unprecedented pace. Agility, cost efficiency, and accuracy are now transforming telco business models towards the digital data-driven platform model, in a race to achieve market responsiveness, drive innovation, and new revenue streams. Artificial intelligence (AI) along with its set of available technologies will be the cornerstone powering internal and external digital transformation for telcos.
Telcos need to augment their products and services with AI for more personalization and on-demand flexibility. AI is key to helping telcos optimize their networks and automate their network operations. The report "AI Use Cases for Telcos: Networks & Operations, Products & Services, and Customer Interactions" deep dives into the possible use cases that AI makes available for telcom operators to turn into smart digital service providers & produce value.
Furthermore, the report outlines a multitude of AI use cases in several consumer and corporate areas possible for telcos. The four key areas identified in the report which AI can help telcos transform to more agile, intelligence-driven and customer-focused digital players: (1) networks optimization & operations automation - e.g., predictive maintenance and network operations automation; (2) AI-powered products and services - e.g., cyberdefense and SD-WAN; (3) smart customer interactions and knowledge - e.g., AI personal assistants; and (4) potential new revenue streams - e.g., chatbots as a service.
The report "AI Use Cases for Telcos: Networks & Operations, Products & Services, and Customer Interactions", helps inform global industry executives' decision-making process on the possible use cases of AI in their telecom businesses, as well as of the possible service and commercial positioning strategies.
Companies mentioned: Alibaba, Google, Qtnet, Amazon, Huawei, Servicefriend, AT&T, IBM, Softbank, China Telecom, Korea Telecom, South Korea Telecom, Ciena, Kyivstar Ukraine, Swisscom, ELM Leblanc, Magic Leap, Telefonica, Ericsson, Microsoft, T-Mobile, Etisalat, MTN, T-Systems, Facebook, Nanosemantika, Verizon, Flyxt, NBN, Vodafone, Globe Philippines, Nokia, Google, Ooredoo, Huawei, Orange Business Services, IBM, P.I. Works.