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The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for Digital transformation within industrial segments. Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications. For example, automated guided vehicle and autonomous mobile robots (AGV/AMRs), wireless cameras, augmented reality for connected workers, and smart sensors across many verticals ranging from healthcare and immersive media, to factory automation. Using this data, manufacturers are looking to maximize operational efficiency and process optimization by leveraging AI and machine learning. To do that, they need to understand and effectively manage the sources and trustworthiness of timely data. This presentation will take a deep dive into how: • Edge can be defined and current state of the industry • Industrial Edge is being transformed • 5G and Time-Sensitive Networking (TSN) play a foundational role in Industry 4.0 • The convergence of high-performance wireless connectivity and AI creates new data-intensive use cases • The right data pipeline layer provides persistent, trustworthy storage from edge to cloud

The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for Digital transformation within industrial segments. Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications. For example, automated guided vehicle and autonomous mobile robots (AGV/AMRs), wireless cameras, augmented reality for connected workers, and smart sensors across many verticals ranging from healthcare and immersive media, to factory automation. Using this data, manufacturers are looking to maximize operational efficiency and process optimization by leveraging AI and machine learning. To do that, they need to understand and effectively manage the sources and trustworthiness of timely data. This presentation will take a deep dive into how: • Edge can be defined and current state of the industry • Industrial Edge is being transformed • 5G and Time-Sensitive Networking (TSN) play a foundational role in Industry 4.0 • The convergence of high-performance wireless connectivity and AI creates new data-intensive use cases • The right data pipeline layer provides persistent, trustworthy storage from edge to cloud

The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for Digital transformation within industrial segments. Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications. For example, automated guided vehicle and autonomous mobile robots (AGV/AMRs), wireless cameras, augmented reality for connected workers, and smart sensors across many verticals ranging from healthcare and immersive media, to factory automation. Using this data, manufacturers are looking to maximize operational efficiency and process optimization by leveraging AI and machine learning. To do that, they need to understand and effectively manage the sources and trustworthiness of timely data. This presentation will take a deep dive into how: • Edge can be defined and current state of the industry • Industrial Edge is being transformed • 5G and Time-Sensitive Networking (TSN) play a foundational role in Industry 4.0 • The convergence of high-performance wireless connectivity and AI creates new data-intensive use cases • The right data pipeline layer provides persistent, trustworthy storage from edge to cloud

The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for Digital transformation within industrial segments. Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications. For example, automated guided vehicle and autonomous mobile robots (AGV/AMRs), wireless cameras, augmented reality for connected workers, and smart sensors across many verticals ranging from healthcare and immersive media, to factory automation. Using this data, manufacturers are looking to maximize operational efficiency and process optimization by leveraging AI and machine learning. To do that, they need to understand and effectively manage the sources and trustworthiness of timely data. This presentation will take a deep dive into how: • Edge can be defined and current state of the industry • Industrial Edge is being transformed • 5G and Time-Sensitive Networking (TSN) play a foundational role in Industry 4.0 • The convergence of high-performance wireless connectivity and AI creates new data-intensive use cases • The right data pipeline layer provides persistent, trustworthy storage from edge to cloud

The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for Digital transformation within industrial segments. Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications. For example, automated guided vehicle and autonomous mobile robots (AGV/AMRs), wireless cameras, augmented reality for connected workers, and smart sensors across many verticals ranging from healthcare and immersive media, to factory automation. Using this data, manufacturers are looking to maximize operational efficiency and process optimization by leveraging AI and machine learning. To do that, they need to understand and effectively manage the sources and trustworthiness of timely data. This presentation will take a deep dive into how: • Edge can be defined and current state of the industry • Industrial Edge is being transformed • 5G and Time-Sensitive Networking (TSN) play a foundational role in Industry 4.0 • The convergence of high-performance wireless connectivity and AI creates new data-intensive use cases • The right data pipeline layer provides persistent, trustworthy storage from edge to cloud

SDRs provide wireless communication components whose trans¬mit and receive characteristics are realized through specialized software running on programmable platforms. The benefit of allowing a single communications platform to be rapidly reconfigured for multiple, highly-diverse communication is to multiplex receive and transmission signals of different encodings on many frequencies (each combination is called a “waveform”). SDRs handle waveforms programmatically are used in fundamentally new ways for multiple domains (e.g. C4ISR, Internet of Things, Robotics, Space, etc.). Sup¬porting several waveforms inside the same device eases bug fixing, enables field re-configurability, allows mul¬tiple data transmission standards to be supported simultaneously, and helps improve the security and integrity of communications. Any communication task can be realized instanta¬neously by uploading/downloading appropriate software that defines the necessary waveforms allowing rapid reconfiguration and upgrades of Over-The-Air Reprogrammable deployed equipment and use of Smart Antennas. This webinar’s purpose is to provide background and solicit interest for a revised version of the OMG Software-Based Communications Domain Task Force (SBC/DTF), called the Secure Network Communications (SNC) for Software Defined Radios (SDR) Working Group (WG). For information on OMG SBC visit http://www.omg.org/intro/SCAV.pdf.

Join C-level executives representing the towerco industry from across the globe. Watch the webinar to find out how they are handling the pandemic, seek advice and share their views. On the panel: Helios Towers, Vertical Bridge, SBA Communications, Phoenix Tower International, TAWAL, Cellnex, European Wireless Infrastructure Association and Uirtus.

A major new upgrade to the operating system for SonicWall on-premises and virtual firewalls, SonicOSX 7 enables you to configure and maintain a unified policy, and provision Layer 3 through Layer 7 controls on every firewall, using a single rule-base

Learn about the key features delivered in AppSync 4.3. This version of AppSync provides PowerFlex support to enable PowerFlex adoption in the DB market with copy management solution. Provides differentiated feature of with SAP HANA scale-out configuration support. Enhanced coverage for PowerMax with NDM and NVMe-oFC support. Enables integration with ServiceNow and other ticketing systems with SNMP trap notifications. All these new features and many other exciting features of AppSync 4.3 will be discussed in this session.

In this webinar, we will re-introduce HA as an intertwined concept as well as some best practices - what if you can redesign HA with a modern load balancing platform?