Telecommunications
Use Cases
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Newsfor Telecommunications
Showing 13 use cases in Telecommunications
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NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI Network Optimisation and Anomaly Detection for Telecoms Operators
Fixed line and integrated telecommunications servicesOperations
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build Real-Time AI for Telecoms Fraud and Revenue Assurance
Mobile telecommunications servicesRisk
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI Telecoms Customer Service at T-Mobile and Vodafone Scale
Mobile telecommunications servicesCustomer Service
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI for 5G Network Planning and Spectrum Optimisation
Mobile telecommunications servicesStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Generate AI-Personalised Telecoms Plan Recommendations to Reduce Churn
Mobile telecommunications servicesMarketing
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Optimise Telecoms Field Technician Scheduling with AI Dispatch
Fixed line and integrated telecommunications servicesOperations
Optimise engineer field force labour allocation
Optimise field force labour allocation - engineers and support staff. This is especially important at moments of network crisis (e.g. in the event of natural disaster) - although this may also be when humans are most likely to override any algorithmic decisions.
Fixed line and integrated telecommunications servicesOperations
Optimise network resource allocation based on real time and predictive load analysis
Optimise resource allocation in network vs. current and future loads. Resources would typically include compute capacity.
Fixed line and integrated telecommunications services
Predict problems and recommend proactive maintenance for fixed equipment such as substations or electricity pylons
Predict failure and recommend proactive maintenance for fixed (substations, poles) and moving equipment
Electricity
Predict regional demand trends for telecoms traffic
Predict regional demand trends for voice, data, other telecoms traffic. This will enable marketing, pricing, capacity and network support decisions to be made - as well as preparing telecoms firms for potential customer service activity should issues emerge.
Fixed line and integrated telecommunications services
Prioritise capex investment recommendations across network
Prioritise capex investment recommendations across network through assessment of network needs and potential capacity challenges
Fixed line and integrated telecommunications services
Secure communications through deployment of crypto technology
Protect communications like emails or phone conversations with advanced multilayered cryptograhy to sustain defences against hacking attacks and / or raise the alarm to ensure relevant intervention
Fixed line and integrated telecommunications servicesInformation Technology
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Use AI to Reduce Telecoms Voluntary Churn by 15–25%
Mobile telecommunications servicesCustomer Service
All Telecommunications AI Use Cases
Telecommunications Case Studies
AT&T monitors its network constantly offering seamless service and plans maintenance and upgrades optimally using machine learningAT&T pulls sales leads from multiple systems to automate data entry into legacy systems using Robotic Process AutomationBharti Airtel reduces time to hire from weeks to days and offer-drop rate from 80% to 26% through predictive hiringBritish Telecom improves network security by using machine learning to detect real-time cyber threatsBritish Telecom saves an estimated £100M a year using the automated contract analysis platform RAVNEquinix predicts customer churn with 90% accuracy using a machine learning neural network modelFrance Telecom''s Telekomunikacja Polksa realised that certain customers have a greater or lesser influences on networks of mobile phones users. If highly connected networkers churn then this is likely to cause a large ripple effect. To improve customer churn prediction and identification of who to retain they developed social graphs and analysis based on the transaction history and network connections of customers. This allowed them to improve prediction by 47%.Infinera will optimise its supply chain management to make better predictions about delivery dates using machine learningMTN sped up their patent application rate with 50% fewer rejections using TurboPatent''s patent drafting automation platformNeopost identifies customers at risk of churn with machine learning using PredicSisNokia aims to boost 5G network performance and cut costs with the use of machine learningOrange Silicon Valley speeds up project completion using TARA machine learning hiring and project management platformQuickplay safeguards its data and interconnected systems with Darktrace’s AI-enabled cyber security productSK Telecom to prevent voice phishing cyber attacks using AIT-mobile reduces churn by up to 50% by identifying and retaining highly-influential ''tribe leader'' customers with advanced predictive modellingTelefonica O2 automates processing of more than 35% of outsourced business processes using robotic process automationTigoUne reduces management system failure by 80% through a machine learning workforce management solutionUS cellular increases customer lifetime value by 61% by analysing website visitor behavior against online and offline sales, subscriptions and renewals using machine learningVerizon monitors and optimises network performance in real-tim using machine learning to analyse network interface data