Verizon’s 5G Future Tied to Spectrum, Technology Advances

SDxCentral | April 23, 2019

Verizon today said the foundation for 5G is being built now, but many of the most transformational aspects of the technology such as mobile edge computing, dynamic spectrum sharing, devices, and refarmed low-band spectrum to support 5G won’t arrive until 2020 or later. “5G has been a huge focus for us,” Verizon CEO Hans Vestberg said on the company’s latest earnings call. With its standards-based mobile 5G network now available in select neighborhoods of Chicago and Minneapolis, and plans to reach 30 cities by the end of the year, the operator will “continue to deploy infrastructure in more cities, prioritizing cities that have made it easy to build there,” he said. “Our initial launches are performing as expected,” and more features and enhancements will become available through software, Vestberg said. “We’re now two years into the implementation of our next-generation intelligent edge network, which we expect to be largely completed by 2021. We’re realizing significant efficiencies and cost savings from our network transformation initiatives.” Capital spending during the first quarter of 2019 was down 6.5% year-over-year to $4.3 billion, and the company is maintaining a full-year capex guidance range of between $17 billion and $18 billion. “Our capital expenditures continue to support the growth in data and video traffic on our industry leading 4G LTE network, the launch and continued buildout of our 5G ultra wideband network, the upgrade to our intelligent edge network, and significant fiber deployment,” CFO Matthew Ellis said during the earnings call. “We have maintained our disciplined approach to capital allocation, focused on investing in our networks,” and “we’re well positioned to deliver on all of our capital allocation goals in the years ahead,” Vestberg said.

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PowerScale is the foundation for building an integrated and optimized IT infrastructure for AI initiatives, from POC to production. The integration and optimization showcased includes PowerScale, PowerEdge, PowerSwitch and Dell Precision Data Science Workstations.

Spotlight

PowerScale is the foundation for building an integrated and optimized IT infrastructure for AI initiatives, from POC to production. The integration and optimization showcased includes PowerScale, PowerEdge, PowerSwitch and Dell Precision Data Science Workstations.

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INNOVATION,SOFTWARE,FUTURE TECH

Resolve Systems Help Measure Business Value from Your Workflow Automation

Resolve Systems | December 26, 2022

Contents 1. Resolve Systems’ ROI Dashboard for Business Value from Workflow Automation 2. Business Growth with Workflow Automation Measuring the time and cost savings from workflow automation investments with analytics for businesses will help them understand opportunities for savings and take strategic decisions. Quantifying the impact of IT automation by drilling into the specifics of your business operations is now possible with an ROI Dashboard from an intelligent IT automation platform, Resolve Systems. Creating the most business value possible through the use of business automation and better workflows will allow businesses to focus on their most important resources and replicate the success of one workflow for another. Businesses can optimize their processes and functions in the long run by tracking their workflow performance and comparing it with past results after upgrades. Comparing one workflow with another helps make strategic decisions when it comes to workflow automation. 1. Resolve Systems’ ROI Dashboard for Business Value from Workflow Automation Automation helps companies eliminate bottlenecks that lead to lost time and revenue in business operations. However, configuring and measuring your savings in the long run after implementing an automated workflow will help generate greater business value. Resolve Systems’ SaaS version’s ROI Dashboard lets businesses configure the operational cost and time involved in processes and measure the cost savings, rise in productivity, visibility, accountability, and efficiency. Its product, Resolve Actions, has this SaaS feature for companies to allow scalability of their business operations. 2. Business Growth with Workflow Automation "According to Signavio, 62% of the organizations have modeled up to 25% of their businesses, but a meager 2% have modeled all their processes." There is a huge demand-supply gap when it comes to modeling the workflows of all the business processes in an organization. This calls for accurate analysis of the results from the existing workflows from an ROI perspective, and Resolve has made a great start to help companies make the most of their automation budgets using its ROI Dashboard. About Resolve Systems Resolve Systems' intelligent IT automation platform helps enterprise technology teams become agile and autonomous. With over a decade of automation expertise, Resolve's solutions address IT complexity challenges. Organizations use Resolve to automate IT operations, service management, network operations, cloud operations, discovery and dependency mapping, and event management and remediation. Resolve maximizes operational efficiency, overcomes labor shortages, reduces costs, quickly troubleshoots and fixes problems, and speeds up service delivery. Resolve is majority-owned by Insight Partners, a global VC and private equity firm.

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AI TECH,SOFTWARE,MACHINE LEARNING

Edge Impulse to Lower Barrier to Machine Learning Application Development Through Software Integration Collaboration with Renesas

Edge Impulse | November 29, 2022

Edge Impulse, the foremost development platform for ML on edge devices, today announced a joint initiative to advance professional machine learning implementation by bringing Renesas' DRP-AI Translator software directly into Edge Impulse Studio. Edge Impulse Studio allows developers to quickly and easily create and optimize solutions with real-world data. The company's platform streamlines the entire process of collecting and structuring datasets, designing ML algorithms with ready-made building blocks, validating the models with real-time data, and deploying the fully optimized production-ready result to an edge target. The DRP-AI is Renesas' low-power, proprietary AI accelerator. The integration of DRP-AI Translator software into Edge Impulse Studio will now allow users to access its features inside the Studio environment, rather than needing to run it externally. Out-of-the-box hardware support for the integration is currently available for Renesas' new RZ/V2L Evaluation Board Kit, which offers high-precision AI inference capabilities combined with top-class power efficiency. Powered by DRP-AI and dual 1.2GHz Arm® Cortex®-A55, RZ/V2L is ideal for exploring industrial monitoring and visibility solutions. "A sound technology strategy involves coupling reliable hardware with intelligent software. "I am thrilled to connect with Renesas in making our machine learning software tools even more capable by allowing users to directly access the features that make Renesas' hardware world-class." Zach Shelby, CEO and co-founder of Edge Impulse "Edge Impulse offers our customers a state-of-the-art cloud environment that works seamlessly with Renesas' RZ/V2L MPUs," said Shigeki Kato, Vice President of Renesas' Enterprise Infrastructure Business Division. "Using the integrated development environment, engineers can easily build full-scale AI Machine Learning solutions for a wide range of applications including industrial monitoring systems, smart buildings, smart cities and other vision-based inspection systems." About Edge Impulse Edge Impulse is the leading machine learning platform, enabling all enterprises to build smarter edge products. Their technology empowers developers to bring more ML products to market faster and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. The Edge Impulse platform provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced ML with streaming data. With over 40,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem.

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AI TECH,AI APPLICATIONS,MACHINE LEARNING

Hayden AI Completes Expansion of Program for Bus Safety and Speeds

Hayden AI | January 02, 2023

Hayden AI has completed the first phase of expansion for the Metropolitan Transportation Authority's automated bus lane enforcement (ABLE) program in New York City, with 300 mobile perception systems installed on nine additional Select Bus Service routes in Queens, the Bronx, and Staten Island. A perception system for autonomous driving helps with object detection, lane analysis, and self-positioning. The AI technology employed in the ABLE program can detect when a vehicle is driving outside of a designated bus lane, enabling traffic enforcement officials to take action more quickly. The systems, which use cameras and AI to detect vehicles illegally driving or parking in bus lanes, are the first of their kind to be deployed in New York City. The ABLE system helps get rid of traffic jams and makes sure that buses move quickly and effectively, giving customers more reliable service. Chris Carson, said, "It’s an honor to partner with the MTA to improve bus service with our mobile perception platform. Increasing transit ridership requires increasing bus speeds and improving schedule reliability. Our ABLE platform was built by transit riders for transit riders to do exactly that. We’re excited to continue our work with the MTA to keep bus lanes clear for buses." CEO and co-founder of Hayden AI The expansion is expected to increase bus speeds in all five boroughs of the city. The MTA previously announced plans to install ABLE systems on 500 buses by June 2023 and at least 600 more buses in 2023. With the deployment of the ABLE system, New York City is taking an important step to improve public transportation for its citizens and visitors alike. The ABLE system has already been shown to increase bus speeds, ridership, and decrease crashes on the M14 route in Manhattan and has been effective at changing driver behavior to keep bus lanes clear. About Hayden AI With its mobile platform, Hayden AI is pioneering smart traffic enforcement to improve the safety, efficiency, and sustainability of municipal fleet vehicles. Our platform enables government agencies to enforce traffic laws while also leveraging AIoT data to gain actionable insights that improve the quality of life in their communities. Our flagship product, Automated Bus Lane Enforcement, was developed by a team of experts in machine learning, data science, transportation, and government technology. It enforces dedicated bus lanes, delivery zones, and intersections to reduce traffic congestion, improve bus speeds, and increase transit ridership.

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