"T-Mobile has extended its Advanced Network Solutions (ANS) portfolio with Edge Control and T-Platform, offering capabilities that are "purpose-built for mission-critical operations" where data is sensitive, work happens in real time, and uptime and network control are non-negotiable. T-Mobile said that its 5G Advanced network launched in April 2025 has already set a new standard for business phone connectivity and that it was now time to help enterprises "seamlessly embrace the new era of real-time data, AI and innovation"."
"The operator said that from hospitals and factories to supply chain operations and smart cities, businesses need connectivity built for high-performance, data-driven use cases. In healthcare, for example, it said AI was reshaping how doctors and nurses deliver care, powering real-time patient monitoring, predictive analytics, faster diagnostics and more informed clinical decisions. T-Mobile cited research showing that in 2024, 71% of hospitals reported using predictive AI integrated with electronic health records, up from 66% in 2023."
"It observed that as this type of technology adoption accelerates, traditional connectivity solutions such as Wi-Fi can struggle to keep pace, often leading to reliability issues, patchy coverage and growing concerns around data sovereignty, adding: "The stakes are high. Imagine the reputational damage or costly remediation a healthcare provider could face if delayed real-time monitoring data jeopardises a critical care patient, or if sensitive health records were exposed.""
T-Mobile extended its Advanced Network Solutions (ANS) portfolio with Edge Control and T-Platform to serve mission-critical operations where data sensitivity, real-time processing, uptime, and network control are essential. The carrier’s 5G Advanced network launched in April 2025 and is positioned to support enterprises embracing real-time data, AI, and innovation for business use cases. Target sectors include hospitals, factories, supply chains, and smart cities where high-performance, data-driven connectivity is required. Healthcare examples include real-time patient monitoring, predictive analytics, faster diagnostics, and more informed clinical decisions, with 71% of hospitals reporting predictive AI integrated with EHRs in 2024. Wi-Fi limitations, data sovereignty concerns, and private network costs and complexity present deployment challenges.
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