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  • Well, technically… Telcos need their own GenAI models: Swisscom’s Laure Willemin (Ep. 110)

    by Catherine Sbeglia Nin October 31, 2023
    by Catherine Sbeglia Nin October 31, 2023

    The final episode of Well, technically… features Swisscom’s Executive Vice President of Data, Analytics & AI Laure Willemin, who discusses the need for harmonized and centralized data and reveals that …

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  • Eight best practices for managing metadata in IoT deployments (Reader Forum)

    by Eleanor Hecks, Managing Editor, Designerl October 20, 2023
    by Eleanor Hecks, Managing Editor, Designerl October 20, 2023

    Internet of Things (IoT) devices collect mountains of data. A smart thermostat gathers temperature and energy expenditure analytics, while manufacturers use sensors to monitor production line productivity. Metadata IoT promises …

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  • Kagan: Emergency Services transition from voice to data

    by Jeff Kagan August 25, 2023
    by Jeff Kagan August 25, 2023

    Just like everything else in our world, 9-1-1 Emergency Services are rapidly moving from voice to data. Yesterday, it was a big job simply connecting every landline to the emergency …

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  • Expanded IBM, Lumen enterprise offering extends the cloud to ‘anywhere’

    by Catherine Sbeglia Nin March 2, 2021
    by Catherine Sbeglia Nin March 2, 2021

    Lumen Technologies and IBM have integrated IMB’s Cloud Satellite with Lumen’s edge platform across 180,000 global Lumen enterprise locations, in an effort to address a growing need for deployment flexibility, …

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  • Dell tackles the edge with ruggedized hyper-converged infrastructure solution

    by Catherine Sbeglia Nin June 23, 2020
    by Catherine Sbeglia Nin June 23, 2020

    With its new hyper-converged infrastructure systems, ‘location, conditions of the edge don’t matter,’ says Dell Dell Technologies has added two additions to its hyper-converged infrastructure (HCI) VxRail portfolio – the …

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  • AI in telecoms: practical advice and next-steps for carriers deploying AI

    by James Blackman March 19, 2018
    by James Blackman March 19, 2018

    The hype surrounding the potentially transformative impact of artificial intelligence (AI) and machine learning (ML) on the telecoms industry is impossible to ignore. AI was the talk of the town …

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White Papers

  • Norton eBook: The 2026 Telco Playbook

  • Enea White Paper: Why Intelligent AAA is the Swiss Army Knife of Telecom

  • CSG White Paper: Telco AI Enabler: Mediation’s Defining Role

  • Enea White Paper: Scalable Database Design for 5G and Beyond

  • Supermicro and NVIDIA Whitepaper: Powering sovereign AI at scale

Editorial Reports

  • Report: Building 6G — Aligning technology, policy and purpose

  • Report: Rethinking the RAN

  • Report: Building AI-Era Network Fabrics

Webinars

  • Appledore Webinar: Closing the Agent-Ready Data Gap for Autonomous Networks

  • Mimosa Webinar – Build the Right Network

  • Webinar: Building 6G — aligning technology, policy and purpose

  • SIMCom Webinar: Scaling your next deployment – from plastic to provisioning

  • Webinar: Rethinking the RAN as AI, cloud and openness converge

Since 1982, RCR Wireless News has been providing wireless and mobile industry news, insights, and analysis to mobile and wireless industry professionals, decision makers, policy makers, analysts and investors.

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Edtior's Picks

Day one justification – why scaling network APIs requires smaller, faster commercial wins...
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Latest Articles

Day one justification – why scaling network APIs requires smaller, faster commercial wins (Reader Forum)
Telcos, remember your roots! (Telco Diary)
Nokia campus strategy – from private 5G to private AI? (Telco Diary)
Telecoms – it’s just not cricket (telco diary)

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