- On April 2025, TRAI released recommendations on identifying critical services in the M2M sector and enabling transfer of M2M SIM ownership. It proposed a framework for classifying “critical IoT services” based on reliability and latency needs, helping stakeholders form SLAs with telecom providers to ensure high-performance connectivity for essential sectors like healthcare, safety, and smart cities.
- On June 2024, Hitachi Industrial Equipment Systems launched a machine learning-based "Predictive Diagnosis Service" for air compressors. Combining sensor data with technician expertise, the service predicts faults and recommends efficient operations. Initially available for NEXT3 series compressors, it aims to reduce downtime, cut energy use, and address technician shortages through remote maintenance and environmental efficiency.
- On November 25, 2024, the Pentagon announced the deployment of AI-enabled cameras to enhance airspace monitoring in the Washington, D.C. area. The new Enhanced Regional Situational Awareness (ERSA) system offers advanced visual recognition to validate radar data and detect threats. Operated by the National Guard and Army, it strengthens regional air defense through rapid threat assessment and response.
- On June 21, 2024, researchers introduced Dyna-5G, a dynamic, self-organizing 5G New Radio network designed for massive Machine-to-Machine (M2M) applications. Unlike traditional centralized 5G networks, Dyna-5G ensures reliability and adaptability in critical autonomous scenarios, such as autonomous vehicles and drone swarms. It supports rapid failure recovery and decentralized communication, demonstrating its resilience in real-world simulations.
