France 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%.

US cellular increases customer lifetime value by 61% by analysing website visitor behavior against online and offline sales, subscriptions and renewals using machine learning

Nokia aims to boost 5G network performance and cut costs with the use of machine learning

Telefonica O2 automates processing of more than 35% of outsourced business processes using robotic process automation

T-mobile reduces churn by up to 50% by identifying and retaining highly-influential 'tribe leader' customers with advanced predictive modelling

MTN sped up their patent application rate with 50% fewer rejections using TurboPatent's patent drafting automation platform

Quickplay safeguards its data and interconnected systems with Darktrace’s AI-enabled cyber security product

SK Telecom to prevent voice phishing cyber attacks using AI

Orange Silicon Valley speeds up project completion using TARA machine learning hiring and project management platform

Infinera will optimise its supply chain management to make better predictions about delivery dates using machine learning

TigoUne reduces management system failure by 80% through a machine learning workforce management solution

AT&T monitors its network constantly offering seamless service and plans maintenance and upgrades optimally using machine learning

British Telecom improves network security by using machine learning to detect real-time cyber threats

Verizon monitors and optimises network performance in real-tim using machine learning to analyse network interface data

Bharti Airtel reduces time to hire from weeks to days and offer-drop rate from 80% to 26% through predictive hiring

British Telecom saves an estimated £100M a year using the automated contract analysis platform RAVN

AT&T pulls sales leads from multiple systems to automate data entry into legacy systems using Robotic Process Automation