Скачать или смотреть China Telecom AI platforms at AI For Good voice-based LLM navigation, cloud fraud detection SaaS/IoT

At AI for Good 2025 #aiforgood China Telecom showcased a suite of AI-powered platforms and services tightly integrated into its State Cloud ecosystem, reflecting the company's strategic orientation toward AI-as-a-Service across multiple layers. Their booth emphasized the cloud's capacity to provide Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Data as a Service (DaaS), with various implementations on display that spanned smart city IoT, user-oriented AI tools, and accessibility solutions. These services aim to function not merely as infrastructure, but as context-aware, cloud-native intelligent systems that address social and digital inclusivity across demographics. https://www.chinatelecomglobal.com

A notable highlight was the "Tel Navi" voice-based navigation system, developed in response to aging global populations—particularly the fact that over 20% of the world’s population is now over 60, with many seniors experiencing difficulties using smartphones. Instead of relying on traditional screen-based navigation apps, Tel Navi integrates a large language model (LLM) interface with audio input and output, allowing elderly users to receive spoken directions, positioning cues, and real-time guidance entirely through voice. The system can also hand off to a human operator if necessary, bridging the gap between accessibility and autonomy for older users.

The underlying AI technology enables multimodal interaction without assuming visual or touchscreen capability, demonstrating how natural language processing (NLP) and spatial AI can be used in real-world wayfinding applications. Tel Navi’s design is consistent with principles of universal design and digital equity, suggesting broader applicability in urban transport systems and for people with visual impairments. This system is cloud-backed, enabling updates and machine learning model tuning based on user interactions and context-specific data.

Another core capability on display was China Telecom’s AI-driven fraud prevention engine. Leveraging pattern recognition and behavioral analysis across data streams, this system identifies and neutralizes online fraud attempts in real time. Such models likely incorporate anomaly detection, user behavior analytics (UBA), and possibly even federated learning, allowing decentralized data to be used without compromising user privacy. This AI model is integrated into the cloud edge, offering real-time interventions at scale.

These platforms form part of China Telecom’s broader push toward intelligent infrastructure, positioning its State Cloud not just as a telecom asset, but as a national digital backbone with embedded AI across all service layers. The company is deploying massive IoT (MIoT) capabilities, machine vision, and digital twin frameworks to enable predictive maintenance, autonomous systems, and user behavior forecasting. This multi-tiered architecture enables adaptive responses in both consumer-facing applications and backend systems.

Their booth also hinted at deployments in smart home, environmental monitoring, and industrial AI contexts, though these were less prominently featured. The consistent theme across the exhibit was the integration of AI models into China Telecom’s existing telecom-grade cloud, showcasing both horizontal and vertical scaling capabilities in real-world implementations.

By integrating edge computing with centralized cloud AI, China Telecom's services offer low-latency responses suitable for applications like real-time guidance, fraud detection, and public safety systems. These are tightly coupled with 5G infrastructure, giving the AI systems both bandwidth and responsiveness to operate reliably across vast geographies and heterogeneous device networks.

China Telecom's participation in AI for Good emphasized not only technical prowess but also alignment with UN Sustainable Development Goals, particularly those focusing on reducing inequality, enabling sustainable cities, and fostering innovation in digital accessibility. Their approach illustrates how national-level telecoms can act as AI enablers by leveraging their existing infrastructure to host scalable, inclusive intelligent systems.

My full AI For Good 2025 video coverage is here:    • AI For Good 2025 video coverage  

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here    • Filmed with DJI Pocket 3  

Join https://www.youtube.com/charbax/join for Early Access to my videos and to support my work, or you can Click the "Super Thanks" button below

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning:    • Daylight Computer CEO interview: Healthy C...