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  • At Mobile World Congress (MWC), we explored how AI, machine learning, edge computing, and other cutting-edge technologies are transforming the telecommunications (telco) industry.

    Enjoy some of NVIDIA Recorded Sessions by following the links below.

    Use cases on the 5G Network platformJan Soderstrom, Ericsson
    Beyond Communications GPU & AI Defined 5GJoseph Boccuzzi, NVIDIA
    Run AI powered apps on the edge with Azure Data Box EdgeKundana Palagiri, Microsoft Azure
    Sharpening the Edge: How edge compute is transforming Telecom ServicesArjuna Sastry Pandit, Hewlett Packard Enterprise
    Deploying AI Software at the Edge with KubernetesAdel El-Hallak, NVIDIA; Phil Rogers, NVIDIA
    Auto Checkout Technologies for EveryoneSteve Gu, AiFi
    Deploying AI to the edge with 5GJared Conway, NVIDIA
    Advanced AI and IoT data analytics on the EdgeDamien Faure, ATOS
    Socially Aware Robots On DeliveryMJ Chun, Postmates
    Optimizing AI and Machine Learning to help retailers get game-changing advance in-store analyticsBoris Gokhman, AnyVision
    5G and the EdgeRaheel Khalid, Verizon Envrnmnt
    NVIDIA cuBB GPU Accelerated 5G vRANJoseph Boccuzzi, NVIDIA
    Accelerating Azure ML at the edge using Azure Data Box EdgeSteven Goddard, Microsoft Azure
    Virtual Network Function Acceleration with GPUsDan Teichman, Ribbon Communications
    Enabling Intelligent Edge Micro-CloudsYaron Ekshtein, Iguazio
    Giving 5G Networks the Edge in Smart CitiesSaurabh Jain, NVIDIA
    Comparison of different hardware configurations for Edge InferenceYaming Wang, Supermicro
    5G and Beyond: Extending Containerized Infrastructure to the Edge with GPUsJered Floyd, Red Hat
    Enabling Telcos to Modernize and Monetize in the 5G, IoT and AI eraAmit Jain, Nutanix; Mahesh Patil, Nutanix
    Deploying AI Software at the Edge with KubernetesAdel El-Hallak, NVIDIA
    The SmartNIC Revolution for Efficient Cloud InfrastructuresAsh Bhalgat, Mellanox
    Accelerated Retail Analytics on T4 GPUs in PowerEdge ServersMatt Scott, Malong Technologies
    How to ensure a successful ML deployment in enterprisesUsman Sadiq, Cisco