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Juniper Networks further expands Mist AI portfolio - Techzine Europe

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Juniper Networks has further expanded several AI solutions within its Mist portfolio. The improvements, such as the Mist WAN Assurance tool and an update to the Marvis AI engine, will make it easier for businesses to automatically detect network problems and resolve connectivity issues. Juniper Networks is strongly committing to AI for detecting problems within corporate networks and the underlying connections. The portfolio of Mist, which was acquired last year, has played a key role. With the tools of Mist, companies are able to automatically detect and solve network problems in (wireless) networks.


Juniper Networks Brings AI to SD-WANs - DevOps.com

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Juniper Networks today announced it can now apply the same artificial intelligence (AI) engine it uses to automate the management of wireless local area networks (LANs) to software-defined wide area networks (SD-WANs). Based on an AI engine that Juniper Networks gained when it acquired Mist Systems, the Juniper Mist WAN Assurance cloud service streams telemetry data gathered from Juniper SRX devices to an AI engine that advises IT teams on how to best set WAN service levels as part of a larger transition to intent-based networking. As part of that initiative, Juniper Networks is also providing access to a Marvis conversational interface originally developed by Mist to enable IT teams to verbally issue commands, replacing the traditional command-line interface (CLI). Christian Gilby, director of product marketing for Juniper Networks, said as the number of remote branch offices that IT organizations need to manage increases at a time when travel is limited, the need to apply AI to SD-WANs has never been more apparent. Rather than return to central offices in the wake of the COVID-19 pandemic, Gilby noted, many organizations are shifting staff to smaller remote offices to enable collaboration while continuing to minimize potential exposure to anyone who might be infected.


IBM and Verizon Business team up on 5G and AI solutions at the Enterprise Edge

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A new partnership between Verizon Business and IBM will see the companies work together on 5G and edge computing innovation to help enable the future of Industry 4.0. The companies plan to combine the high speed and low latency of Verizon's 5G and Multi-access Edge Compute (MEC) capabilities, IoT devices and sensors at the edge, and IBM's expertise in AI, hybrid multicloud, edge computing, asset management and connected operations. "Many industrial enterprises are today seeking ways to use edge computing to accelerate access to near real-time, actionable insights into operations to improve productivity and reduce costs. To address this need, the first solutions planned from this collaboration are to be mobile asset tracking and management solutions to help enterprises improve operations, optimise production quality, and help clients enhance worker safety," the duo says in a statement. For these initial solutions, the two companies plan to leverage Verizon's wireless networks, including Verizon's 5G Ultra Wideband (UWB) network, and Multi-access Edge Computing (MEC) capabilities, alongside Verizon's ThingSpace IoT Platform and Critical Asset Sensor solution (CAS).


Traditional vs Deep Learning Algorithms in the Telecom Industry

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The unprecedented growth of mobile devices, applications and services have placed the utmost demand on mobile and wireless networking infrastructure. Rapid research and development of 5G systems have found ways to support mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience. Moreover, inference from heterogeneous mobile data from distributed devices experiences challenges due to computational and battery power limitations. As a result, models employed in the edge-based scenario are constrained to light-weight to achieve a trade-off between model complexity and accuracy. Also, model compression, pruning, and quantization are largely in place.


IBM, Verizon Partner to Bring 5G, Edge Computing to Industrial Sector - My TechDecisions

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IBM and Verizon have announced a joint venture in which the companies will work together on 5G and edge computing technology to help enable the future of industry 4.0. The partnership will combine the high speed and low latency of Verizon's 5G and Multi-access Edge Compute capabilities, IoT devices and sensors with IBM's expertise in artificial intelligence, hybrid multiload, edge computing, asset management and connected operations. In a press release, the companies said the partnership will help industrial enterprises find ways to use edge computing to accelerate access to near real-time, actionable insights into operations to improve efficiencies. The first solutions planned from the collaboration are to mobile asset tracking and management solutions to hep enterprises improve operations, optimize production quality and enhance worker safety. For those first solutions, the companies plan to leverage Verizon's 5G Ultra Wideband network, Multi-access Edge Computing (MEC), ThingSpace IoT Platform and Critical Asset Sensor solution, which will be jointly offered with IBM's Maximo Monitor with IBM Watson and advanced analytics.


Verizon And IBM Will Partner On 5G And AI

International Business Times

Verizon (NYSE:VZ) and IBM (NYSE:IBM) announced on Wednesday an extensive new partnership that would focus on a host of forward-looking technology, including 5G, edge computing, and artificial intelligence (AI). The companies plan to use Verizon's high-speed, low-latency wireless 5G network, multi-access edge computing (MEC) capabilities, and Internet of Things (IoT) devices and sensors, and combine them with IBM's expertise in AI, hybrid multicloud, edge computing, asset management, and connected operations. By joining forces and leveraging each business's unique expertise, Verizon and IBM will initially offer mobile asset tracking and management solutions designed to help enterprises "improve operations, optimize production quality, and help clients enhance worker safety." IBM and Verizon will also work to develop combined solutions for 5G and edge computing such as near-real-time cognitive automation for industrial applications. The combined solutions could help clients "detect, locate, diagnose and respond to system anomalies, monitor asset health and help predict failures in near real-time."


Google's AI starts answering Verizon support calls

Mashable

If you call Verizon looking for support, don't be surprised when Google answers the phone. This week, Verizon announced that it has started piloting Google's Cloud Contact Center Artificial Intelligence in a bid to deliver, "a more natural and streamlined digital experience." Verizon believes using Google's tech will lead to shorter call times and more satisfied customers, with the added bonus of the company being able to deal with more customers calling each day. Shankar Arumugavelu, global CIO & SVP, Verizon, commented, "Verizon's commitment to innovation extends to all aspects of the customer experience ... These customer service enhancements, powered by the Verizon collaboration with Google Cloud, offer a faster and more personalized digital experience for our customers while empowering our customer support agents to provide a higher level of service." Google's Contact Center AI is built around an end-to-end development suite called Dialogflow.


Verizon and IBM Will Partner on 5G and AI

#artificialintelligence

Verizon (NYSE:VZ) and IBM (NYSE:IBM) announced on Wednesday an extensive new partnership that would focus on a host of forward-looking technology, including 5G, edge computing, and artificial intelligence (AI). The companies plan to use Verizon's high-speed, low-latency wireless 5G network, multi-access edge computing (MEC) capabilities, and Internet of Things (IoT) devices and sensors, and combine them with IBM's expertise in AI, hybrid multicloud, edge computing, asset management, and connected operations. By joining forces and leveraging each business's unique expertise, Verizon and IBM will initially offer mobile asset tracking and management solutions designed to help enterprises "improve operations, optimize production quality, and help clients enhance worker safety." IBM and Verizon will also work to develop combined solutions for 5G and edge computing such as near-real-time cognitive automation for industrial applications. The combined solutions could help clients "detect, locate, diagnose and respond to system anomalies, monitor asset health and help predict failures in near real-time."


IBM and Verizon Business to collaborate on 5G and AI solutions at the Enterprise Edge

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IBM and Verizon are also working on potential combined solutions for 5G and MEC-enabled use cases such as near real-time cognitive automation for the industrial environment. Edge computing's decentralized architecture brings technology resources closer to where data is generated - i.e., where devices are located in an industrial site – this can help decrease lags in response time and increase processing speeds and reliability. This could mean that innovative new applications such as remote control robotics, near real-time cognitive video analysis and plant automation may now be possible.


IBM and Verizon Business to Collaborate on 5G and AI Solutions at the Enterprise Edge

#artificialintelligence

Verizon Business (NYSE: VZ) and IBM (NYSE: IBM) today announced they are entering into a collaboration to work together on 5G and edge computing innovation to help enable the future of Industry 4.0. The companies plan to collaborate on solutions combining the high speed and low latency of Verizon's 5G and Multi-access Edge Compute (MEC) capabilities, IoT devices and sensors at the edge, and IBM's expertise in AI, hybrid multicloud, edge computing, asset management and connected operations. Many industrial enterprises are today seeking ways to use edge computing to accelerate access to near real-time, actionable insights into operations to improve productivity and reduce costs. To address this need, the first solutions planned from this collaboration are to be mobile asset tracking and management solutions to help enterprises improve operations, optimize production quality, and help clients enhance worker safety. For these initial solutions, the two companies plan to leverage Verizon's wireless networks, including Verizon's 5G Ultra Wideband (UWB) network, and Multi-access Edge Computing (MEC) capabilities, alongside Verizon's ThingSpace IoT Platform and Critical Asset Sensor solution (CAS).