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    • Machine Learning (ML)

    The educational content of this category relates to Machine Learning (ML) evolution for Telecom/Communications Service Providers' (CSPs) mobile and fixed networks. Best practices and guidance are targeted to telecom providers, contractors and others aligned with the ICT industry.

    Industry Trends

    ID 269222574 © Nuttapong Punna | Dreamstime.com
    SASE Market Expected to Reach USD 44.68 Billion by 2030
    Tero Vesalainen, Dreamstime
    dreamstime_s_151770935
    ID 292072267 © Phokin Whansad | Dreamstime.com
    Business using technology for digital chatbot, GPT chats, Ai robot application, conversation assistants, artificial intelligence concept, artificial intelligence, AI digital chatbot on virtual screen
    ID 169142780 © Dmytro Zinkevych | Dreamstime.com
    Students holding colorful smartphones while having break from study. Colorful smartphones.
    ID 132114666 © Funtap P | Dreamstime.com
    dreamstime_s_132114666
    ID 283040849 © Thanapol Mongta | Dreamstime.com
    dreamstime_s_283040849

    Recent

    ID 346327294 | Ai © Denisismagilov | Dreamstime.com
    Futuristic 2025 forecast with AI concept hovering over a palm on dark background.
    Jan. 14, 2025
    A forecast of the trends that will have the greatest impact on the global computer engineering industry in 2025.
    ID 364422285 © Andrei Dzemidzenka | Dreamstime.com
    Man utilizes a website or software for chatbots, AI chats, image generation, coding, and data analysis with a smart robotic AI. AI generated.
    March 14, 2025
    Info-Tech Research Group highlights the top providers of the year based on comprehensive user reviews, feature performance, vendor capabilities, and more.
    Photo1460256936 | StudioM1 | www.istockphoto.com
    I Stock 1460256936 Tight
    Merilee Kern
    June 20, 2023
    Expert offers roadmap for having civil discourse on artificial intelligence.