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How are MNOs and MVNOs harnessing AI for their IoT operations?

KEY TOPIC INSIGHT | JUN 18, 2024 | Matt Hatton
 
Number of Pages: 8
Organisations covered:1NCE | AT&T | BICS | Deutsche Telekom IoT | Deutsche Telekom | Emnify | Eseye | floLIVE | KORE | KPN | NTT | NTT DATA | Ooredoo | Orange | Pelion | Semtech | Sierra Wireless | Singtel | Soracom | T-Mobile US | Tele2 | Telefonica | Telenor | Telia Company | Telit Cinterion | Velos IoT | Verizon Communications | Vodafone | Wireless Logic
Keywords: Artificial Intelligence | AI | Internet of Things | IoT | Communications Service Providers | CSPs | Mobile Network Operators | MNO | Mobile Virtual Network Operators | MVNO | Machine Learning | ML | chatbots | LLM | generative AI
region: ALL Information & Communication Internet of Things Hyperconnectivity Artificial Intelligence

In June 2024, Transforma Insights will publish its annual Communications Service Provider IoT Peer Benchmarking Report, examining all the facets of the strategies and capabilities of over 25 Mobile Network Operators and MVNOs in addressing IoT, both connectivity and more broadly. As part of the research this year we have asked companies about their experience of using Artificial Intelligence/Machine Learning to support their IoT operations.

In this report we aggregate the findings of the research to show the main approaches that are dominating and which are gaining traction. The report identifies nine main ways in which Communications Service Providers are using AI, ranging from administration to networks to commercial.