MWC 2019 SCHEDULE

Listen to our partners and experts at MWC Los Angeles 2019.

TUESDAY 10/22

  • 11:30 - 12:00

    Use Cases on the 5G Network Platform


    Jan Soderstrom, Vice President and Head of Technology Office Silicon Valley, Ericsson
    WATCH NOW
    Booth #1745, South Hall
    Big Data, 5G, IoT
       
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      The 5G the network becomes something more than just sending bits from Point A to Point B. With capabilities such as edge computing, AI support, workload orchestration and network exposure, the networks will become a platform for innovation of use cases across many industries and verticals. While the consumer mobile broadband will be the early driver for the roll out, the IoT and industrial use cases are already being developed. In this talk, we will share insights from some of the early deployments and the use case co-creation work happening in our labs.
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  • 12:00 - 12:30
    Why Use a GPU in a 5G BBU?
    Joseph Boccuzzi, Principal 5G Systems, NVIDIA
    WATCH NOW
    Booth #1745, South Hall
    5G
       
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      5G Infrastructure is a massive sensor network that is also used for transport. When combined with NVIDIA CUDA GPUs and AI, it will fundamentally transform the wireless ecosystem. The flexibility of GPU plus AI algorithms will create an Intelligent wireless infrastructure, while simultaneously driving extreme system capacity – this combination will enrich the user experience. We will address early results and the challenges we need to overcome.
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  • 12:30 - 13:00
    WATCH NOW
    Booth #1745, South Hall
    Big Data, Edge Computing
       
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      Learn how you can use Data Box Edge to deliver accelerated intelligence at the edge using Azure IoT Edge and Azure ML. Azure Data Box Edge is an AI-enabled edge computing appliance which processes and analyzes data at the edge and transfers data to cloud when connected.
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  • 13:00 - 13:30

    Sharpening the Edge: How edge compute is transforming Telecom Services


    Arjuna Sastry Pandit, Account General Manager – AT&T Account, Hewlett Packard Enterprise
    WATCH NOW
    Booth #1745, South Hall
    5G, Edge Computing
       
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      In this discussion, we will look at the evolution of telecom network services, and how edge compute capabilities are transforming services by bringing the enterprise and consumers closer to where the content and workloads are occurring. We will discuss HPE”s work with Tier1 operators in launching Multi Access Edge Computing Services and the new use cases that are driving this explosive rate of digital transformation.
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  • 13:30 - 14:00

    Deploying AI Software at the Edge with Kubernetes


    Adel El-Hallak, Director of Product Management for NGC, NVIDIA
    Phil Rogers, Vice President of System Software, NVIDIA
    WATCH NOW
    Booth #1745, South Hall
    AI, Edge Computing
       
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      Today, billions of sensors gathering zettabytes of data are offering organizations a treasure trove of information that can help them better serve their customer needs. With the advances of 5G infrastructure, companies now have the ability to bring AI models to the edge, where the data is generated and real-time decisions need to be made.
      Kubernetes eliminates many of the manual processes involved in deploying, managing and scaling applications, and is becoming a standard for deployment from the data center to the edge.
      NVIDIA NGC product and engineering experts will walk through the latest enhancements to its GPU-accelerated software hub, and demonstrate how NVIDIA is facilitating the deployment and management of AI applications at the edge.
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  • 14:00 - 14:30
    WATCH NOW
    Booth #1745, South Hall
    Smart Retail
       
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      In this talk, you will learn how NVIDIA GPUs allow AiFi's auto-checkout system to achieve accuracy and efficiency for in-store customer tracking, shelf inventory management, and automated store monitoring.
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  • 14:30 - 15:00

    Deploying AI to the Edge with 5G


    Jared Conway, Senior Product Manager, Enterprise, Edge, and Cloud, NVIDIA
    WATCH NOW
    Booth #1745, South Hall
    5G, Edge Computing
       
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      5G will enable Telco operators and customers to deploy AI to the edge enabling new business opportunities and business models. NVIDIA will be present on deploying modern AI applications with a focus on 5G and IoT edge deployments. Learn about cloud-native container deployment of NVIDIA’s NGC containers which enables moving your customer AI workloads closer to their business. Several edge customer deployments in retail, manufacturing, and healthcare will be covered.
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  • 15:00 - 15:30

    Advanced AI and IoT Data Analytics on the Edge


    Damien Faure, Solution Manager on IoT Edge and Enterprise AI, Atos
    WATCH NOW
    Booth #1745, South Hall
    AI, Big Data
       
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      Edge computing and artificial intelligence are transforming data processing and IoT management. Discover how Atos is leveraging AI on the Edge to propose advanced video and data analytics services. Check how Atos advanced video-surveillance AI models have helped cities to increase their level of security. Discover how Edge data analytics have enabled predictive maintenance in top-tier entertainment parks and quality inspection in manufacturing.
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  • 15:30 -16:00
    WATCH NOW
    Booth #1745, South Hall
    5G
       
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      As the demand for 5G continues network operators are faced with decisions on how to effectively deploy their services. The benefits of COTs based solutions benefit Operators, Equipment Manufacturers as well as End Users by offering new and innovative services. The GPU addresses unsolved problems with increased Channel Bandwidth, High Order MIMO, User Throughput and Cell requirements. We will present the architecture of NVIDIA cuBB solution which addresses Network Operator and Equipment Manufacturers performance bottle necks and removes hurdles to support efficient deployments of 5G services.
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  • 16:00 - 16:30

    Socially Aware Robots On Delivery


    MJ Chun, Director of Product, Postmates
    WATCH NOW
    Booth #1745, South Hall
    Smart Retail
       
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      In our connected world, how we find, select, and purchase goods has evolved rapidly including how goods are delivered. And now it’s possible with advances in edge computing, AI, and ML to deploy autonomous robots to deliver what customers crave on demand. This talk shares our journey in developing our autonomous delivery robot Serve and why it is critical for Serve to be socially aware.

WEDNESDAY 10/23

  • 10:30 - 11:00
    WATCH NOW
    Booth #1745, South Hall
    Smart Retail
       
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      A revolutionary deep data analytics platform for retailers, learn how AnyVision Insights can help you gain an end-to-end, accurate view of your store’s daily operation, customers’ journey, shopping patterns and sales funnel. A live demo will illustrate Insights’ vast capabilities through its cutting-edge recognition platform specially designed for real-world retailers, including unique people counting, heat and path mapping, focus of attention, duration in store, bounce rate, rush hours, demographics classification, VIP recognition, zone breakdown, and more.
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  • 11:00 - 11:30

    5G and the Edge


    Raheel Khalid, Chief Engineer XR Edge, Verizon Envrnmnt
    WATCH NOW
    Booth #1745, South Hall
    5G
       
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      Verizon will discuss how it created a real time edge platform to enable next generation experiences on mobile today using RTX graphics cards and the key ingredients for low latency compute and architecture for Edge Native Applications.
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  • 11:30 - 12:00
    WATCH NOW
    Booth #1745, South Hall
    5G
       
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      As the demand for 5G continues network operators are faced with decisions on how to effectively deploy their services. The benefits of COTs based solutions benefit Operators, Equipment Manufacturers as well as End Users by offering new and innovative services. The GPU addresses unsolved problems with increased Channel Bandwidth, High Order MIMO, User Throughput and Cell requirements. We will present the architecture of NVIDIA cuBB solution which addresses Network Operator and Equipment Manufacturers performance bottle necks and removes hurdles to support efficient deployments of 5G services.
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  • 12:00 - 12:30
    WATCH NOW
    Booth #1745, South Hall
    AI, Edge Computing
       
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      Join us to learn how Data Box Edge can be used for running intelligent applications at edge for delivering accelerated ML.
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  • 12:30-13:00

    Virtual Network Function Acceleration with GPUs


    Dan Teichman, Senior Manager Solutions Marketing, Ribbon Communications
    WATCH NOW
    Booth #1745, South Hall
    Big Data
       
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      Learn how GPUs revolutionize the ability to scale real-time communications (RTC) in the cloud. Hear about Ribbon's innovation leveraging the power of the Nvidia GPU to provide disruptive scale for media processing as a virtual network function. With GPUs, Ribbon’s cloud-native session border controller (SBC) is able to concurrently transcode multiple different codecs, with the high fidelity that its customers demand, with substantial cost savings.

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  • 13:00 - 13:30
    WATCH NOW
    Booth #1745, South Hall
    AI, Edge Computing
       
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      The cloud is the dominant platform for development, testing and building machine learning models, many applications still require data and ML processing at the edge to tackle cloud latency, bandwidth and intermittent connectivity constraints. Yaron Ekshtein from Iguazio will describe how to build powerful Edge clusters with a cloud-native architecture using GPUs, Kubernetes, Serverless, leading data and ML frameworks. They will demonstrate how GPUs and NVIDIA RAPIDS can process massive amounts of data cost effectively and use smaller footprint. They will demonstrate various AI driven applications and explain how to mobilize workloads, data, and microservices efficiently and manage federated edge clusters.

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  • 13:30 - 14:00

    Giving 5G Networks the Edge in Smart Cities


    Saurabh Jain, Director of Products and Strategic Partnerships, NVIDIA
    WATCH NOW
    Booth #1745, South Hall
    Smart Cities
       
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      A major benefit of edge computing is the ability to bring compute and storage with adequate connectivity closer to the point of action, critical for use cases like smart cities.

      Today’s neighborhoods and city blocks have a few thousand sensors and cameras connected to wireless networks. By 2025, it’s predicted this number will increase by 100 fold. Bringing efficiency and safety to today’s cities depends on the ability to deliver real-time situational awareness and control across these high-bandwidth sensors while maintaining high availability. NVIDIA Metropolis delivers a compete framework to build and deploy these applications on edge infrastructure.

      In this talk, attendees will learn how NVIDIA’s core technologies open up new business and service revenue opportunities for the telecom industry.

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  • 14:00 - 14:30
    WATCH NOW
    Booth #1745, South Hall
    IoT, Edge Computing
       
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      In this talk, we will go through several edge server and NVIDIA GPU card configurations, running GoogleNet and ResNet-50 with different batch sizes to compare the results for best edge server inference setup.

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  • 14:30 - 15:00
    WATCH NOW
    Booth #1745, South Hall
    5G, Edge Computing
       
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      Integration of GPUs into containerized application platforms can improve platform agility and reduce costs while accelerating development and deployment of edge applications. Software defined infrastructure of vRAN assumes network slicing capabilities that in turn enables a range of services, including AI/ML, AR/VR and autonomous driving at the edge. Learn about Red Hat’s vision for distributed edge computing for telco networks, manufacturing, smart cities, and beyond.

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  • 15:00 - 15:30

    Deploying AI Software at the Edge with Kubernetes


    Adel El-Hallak, Director of Product Management for NGC, NVIDIA
    WATCH NOW
    Booth #1745, South Hall
    AI, Edge Computing
       
    •  
       

      Today, billions of sensors gathering zettabytes of data are offering organizations a treasure trove of information that can help them better serve their customer needs. With the advances of 5G infrastructure, companies now have the ability to bring AI models to the edge, where the data is generated and real-time decisions need to be made. Kubernetes eliminates many of the manual processes involved in deploying, managing and scaling applications, and is becoming a standard for deployment from the data center to the edge.
      NVIDIA NGC product and engineering experts will walk through the latest enhancements to its GPU-accelerated software hub, and demonstrate how NVIDIA is facilitating the deployment and management of AI applications at the edge.

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  • 15:30 - 16:00
    WATCH NOW
    Booth #1745, South Hall
    5G, Big Data
       
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      Unlike typical network adapters, Mellanox SmartNICs maximize the performance and agility of modern data centers without sacrificing efficiency. Mellanox ConnectX and BlueField SmartNICs offer state-of-the-art intelligent hardware offloads that accelerate a variety of Cloud workloads including AI/ML, HPC, Big Data, 5G core and edge services, and Cloud computing.

      In this session, learn how Mellanox SmartNICs together with NVIDIA GPUs push the envelope of Cloud Datacenter innovation to achieve ultimate performance, agility and efficiency.

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THURSDAY 10/24

  • 10:30 - 11:00
    WATCH NOW
    Booth #1745, South Hall
    5G
       
    •  
       
      As the demand for 5G continues network operators are faced with decisions on how to effectively deploy their services. The benefits of COTs based solutions benefit Operators, Equipment Manufacturers as well as End Users by offering new and innovative services. The GPU addresses unsolved problems with increased Channel Bandwidth, High Order MIMO, User Throughput and Cell requirements. We will present the architecture of NVIDIA cuBB solution which addresses Network Operator and Equipment Manufacturers performance bottle necks and removes hurdles to support efficient deployments of 5G services.
  •  
  • 11:00 - 11:30
    WATCH NOW
    Booth #1745, South Hall
    Smart Retail
       
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      This session will give an overview on the performance and efficiency of running the Malong RetailAI® software stack on Dell EMC PowerEdge R7425 server for retail analytics. The objective is to show how the stack can deliver high throughput & low latency inferencing performance on Nvidia T4 GPU. We will look into some of the use cases that can be solved by running the algorithms developed by Malong in the area of product recognition. We will talk about Curriculum Net which is based on weakly supervised learning and how these algorithms are being run on NVIDIA T4 GPU by taking advantage of TensorRT.

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  • 11:30 - 12:00

    How to Ensure a Successful ML Deployment in Enterprises


    Usman Sadiq, AI/ML Deep Learning Product Manager, Cisco
    WATCH NOW
    Booth #1745, South Hall
    AI, Big Data
       
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      Artificial intelligence and machine learning are gaining adoption beyond the lab into real business initiatives. It is critical to have an architectural approach ensuring that AI/ML deployments can scale from proof-of-concept to production with data pipeline extending from data sources in IoT sensors, remote offices, and data center.

      In this session we will discuss how Cisco infrastructure can support data pipelines from the end of the earth, to the data center, and even to the cloud. You will find out how infrastructure performance, scale and flexibility can help you to accelerate and operationalize your data pipeline for successful enterprise-grade AI/ML projects.

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