A roundup of innovative enterprise deployments and announcements

Summary

Twimbit AI Radar is a monthly series that recaps innovative AI deployments and announcements in telecommunications, financial services, and customer experience fields of practice. It also offers insights into companies deploying AI, aimed at assisting business executives and technology leaders develop their own AI projects and long-term strategies.

In our previous Twimbit AI Radar on the telecommunications industries, we covered how industry leaders like Deutsche Telekom maximised AI to optimise its fibre optic planning to how Airtel developed IQ SpamShield, an AI / ML-based detection system.

This month’s roundup ventures into a new side of the telecommunication puzzle piece, exploring telcos such as Reliance Jio, BT Group, AT&T, SK Telecom and Korea Telecom.

Today, AI and its capability to improve predictive maintenance and customer behaviour pave the way for tailored services and reduced network disruptions. According to Veritis, AI automation aims to cut operational costs for telecommunications companies by 30%. Similarly, AI-driven chatbots contribute to a 25% increase in customer satisfaction with instant and personalised support.

AI advancement has encouraged companies to embrace intelligent network automation and personalised, data-driven strategies. As a result, telcos have quickly transformed their traditional service models, positioning themselves as frontrunners in the competitive digital landscape.

This month, we explore the latest AI innovations, offering a roadmap for telecoms that aim to leverage technology and shape the future of connectivity.

Reliance Jio Expands JioBrain for Enhanced Network Management

Launched in January 2024, JioBrain is a GenAI platform using Jio’s high 5G speeds for anomaly detection, predictive forecasting, and automation. This empowers CSPs (communication service providers) to apply machine learning at the network edge and in the cloud for applications across healthcare, education, gaming, and entertainment.

By monitoring millions of data points at instant speeds, JioBrain can identify anomalies such as service disruptions and maintain high service quality for Jio’s 450 million users.

Future plans for expanded AI offerings include developing green power in data centres and AI inference facilities with global partners. With affordability at heart, Jio aims to enhance its capabilities in agriculture, healthcare, education, and small businesses. This deployment reinforces Reliance Jio’s leadership in telecom and cloud services in a rapidly evolving digital landscape.

BT Group Deploys GenAI Gateway with AWS for Enhanced AI Management

High efficiency is the tagline for the Gen AI Gateway, enabling staff secure access to advanced NLP (natural language processing) systems and large language models (LLMs).

This centralized gateway streamlines API management, security and infrastructure to reduce resource duplication and error risks. BT teams are also encouraged to use different AI models flexibly and responsibly with features like central privacy controls, usage-based billing and access to various corporate data sources.

Currently, live and in trial within BT’s Openreach division, the GenAI Gateway summarises engineering notes related to broadband projects. Other departments such as business, legal, and procurement, are also testing its capabilities.

This deployment strengthens BT Group’s commitment to AI-driven operational efficiency and support across its functions.

AT&T Enhances Supply Chain Operations with AI Innovations

Powering up its supply chain operations, the standout innovation to date has been AT&T’s use of predictive maintenance. Managing a fleet of ~7000 trucks that service its network infrastructure, AT&T has developed models to predict potential failures in vehicle components such as batteries.

For instance, the company identified how technicians’ driving habits influenced battery lifespan. By synchronising battery replacements with brake replacements, AT&T has minimised truck breakdowns, resulting in USD 7 million annual savings.

AT&T has also maximised its AI knowledge to resolve more human challenges, specifically effective job assignments. By employing H20.ai to create optimisation models, AT&T has effectively matched over 100,000 technicians with suitable jobs. The result is two-fold – enhanced service delivery and reduced fuel consumption, yielding savings of more than USD 10 million each year.

Overall, AT&T’s integration of AI technologies significantly boosts operational efficiency and strengthens its capacity to provide superior service in a competitive landscape.

SK Telecom Deploys AI Orchestrator to Revolutionize Network Management

Streamlining tasks that previously took days to complete, AI Orchestrator reduces them to mere hours by automating software-defined networking (SDN) processes. It allows network engineers to input scripts in familiar programming languages, which the system instantly translates into device-specific commands, providing SK Telecom with a strategic advantage in terms of both speed and accuracy in managing its network infrastructure.

This AI-driven platform also bolsters risk management by detecting harmful commands, tracking software updates, and automatically adjusting code to prevent errors. AI Orchestrator’s ability to predict network issues and traffic patterns allows SK Telecom to respond proactively to potential disruptions, ensuring smoother and more reliable network performance.

By integrating AI Orchestrator, SK Telecom not only enhances the operational efficiency of its network but also strengthens its ability to maintain top-tier service quality, setting itself apart in the highly competitive telecom landscape.

KT Unveils Advanced AI-Powered Voice Phishing Detection and Prevention Technologies

Safeguarding customers, KT’s advanced AI-powered voice phishing detection system features two key technologies: the ‘Voice Phishing Detection AI Agent’ and the ‘AI Voice Phishing Suspected Number Notification Service.’ This innovation is designed to identify and prevent financial fraud in real-time, enhancing customer protection.

The Voice Phishing Detection AI Agent leverages a small language model (SLMs) to convert voice conversations into text and rapidly detect fraud-related content. When a suspicious activity is identified, the system immediately alerts the customer. Unlike traditional keyword-based detection, this solution offers a more comprehensive approach by analyzing various risk factors such as personal information requests and financial transactions, improving accuracy while safeguarding user privacy through on-device data processing.

KT’s AI Voice Phishing Suspected Number Notification Service also uses an AI classification model to pre-emptively flag phone numbers linked to phishing activities, notifying customers in real-time. If a suspicious call is detected, the customer is warned via a video message before answering, with follow-up notifications sent for incoming and outgoing calls.

Transforming Telecom with AI: Essential Strategies for Innovation

Leading telecommunications providers such as Reliance Jio, BT Group, and SK Telecom showcase how strategic AI adoption can transform operational efficiency, service delivery, and competitive positioning. By learning from these industry front-runners, other telecommunications companies can leverage AI to maximize operational performance and drive future-ready innovation. Focusing on these essential strategies can help telecom companies harness the full potential of AI for long-term success:

1. Unified Platform Development: The JioBrain platform by Reliance Jio is a powerful example of a unified, AI-powered system capable of processing vast amounts of data across various functions. These functions can range from customer insights to network management.
   • Such comprehensive platforms enable organizations to generate actionable intelligence across departments, support consistent decision-making and create a cohesive approach to data strategy.
   • Centralizing AI capabilities can also enable telecom companies to drive wide-scale impact, simplify data workflows, and enhance overall performance.
   • Developing a similar unified platform fosters an environment where AI insights are leveraged across functions, creating a foundation for smarter, data-driven operations that evolve in real time with customer needs.
2. Infrastructure Modernization: The infrastructure backbone of a telecom company plays a crucial role in supporting AI integration. SK Telecom’s AI Orchestrator illustrates the potential of modern AI-driven systems to automate complex network operations and streamline maintenance tasks through predictive analytics.
   • Automation by AI Orchestrator achieves a two-fold result – reduces the workload on human operators and can pre-emptively solve issues, leading to reduced downtime and optimised resource allocation.
   • AI-powered network management systems, as demonstrated by SK Telecom, can drastically improve reliability, reduce operational costs, and enhance customer satisfaction.
   • For other telecom providers, investing in infrastructure modernisation through AI can ensure that network performance remains resilient, adaptive, and responsive to emerging demands and technological advancements.
3. Strategic Ecosystem Partnerships: Collaborations with established cloud providers and AI specialists can be a fast track for telecom companies to access advanced AI tools without overextending internal resources. BT Group’s partnership with AWS exemplifies how strategic alliances can accelerate AI adoption while providing access to cutting-edge technologies.
   • Companies can leverage cloud-based AI solutions that allow for rapid scalability, flexibility, and deployment of AI-driven applications.
   • Forming strategic ecosystem partnerships can enable telecoms to gain a competitive edge with minimal initial investment
   • Ecosystem partnerships are also a great way for telecom companies to improve both speed and efficiency in deploying AI solutions that meet current and future operational needs.

By implementing these strategies, telecom providers can harness AI to streamline operations, enrich customer experiences, and unlock new revenue streams. Not only does this approach optimize existing processes, but it also positions telecom companies as innovation leaders in a highly competitive digital landscape. Forward-thinking providers that successfully integrate AI into their core operations will set new industry benchmarks, leading the charge in redefining telecommunications services for the digital age. Through a comprehensive, AI-driven transformation, these providers will not only meet the demands of today but will also be well-positioned to shape the future of connectivity, offering customers unparalleled service and value.