Ethernet Market Peaks, Despite 'Software-Defined' Movement

Virtualization Review | December 10, 2018

Despite the advent of open, game-changing movements like software-defined networking (SDN) and network functions virtualization (NFV), the Ethernet switch and router markets reached an all-time high, new research indicates. Synergy Research Group published new Q3 data that illustrated the surprising strength of the Ethernet hardware market. Noting the peak in vendor revenues, Synergy said, "While the markets have only been growing by an average 1 percent annually, this was enough to nudge quarterly revenues to well over $11 billion, surpassing all previous quarters." Not only that, but Cisco Systems, the kingpin of the proprietary, hardware-based legacy establishment, is doing just fine in the new software-defined era. "Cisco's share of the total worldwide switch and router market was 53 percent, the highest it has been since early 2016," Synergy said. "Its market shares in the individual segments ranged from 63 percent for enterprise routers to 40 percent for service provider routers." Although some industry observers indicated early on that Cisco might be most at risk in the new SDN/NFV era and it seemed late to the software-defined party, it eventually entered the fray with its own software-defined offerings and is still dominating in hardware.

Spotlight

The use of VR and AR involves real-time rendering of the CAD data, which consumes a lot of memory and reduces the performance of the application. Data preparation plays a vital role to boost the performance while retaining the topology and mesh quality, and that’s why we use specific software to reduce time and effort.

Download the report to learn:

  • Why Unity’s PiXYZ solution is the top performer for CAD data import and optimization
  • How we outperformed Unreal Datasmith with 66% faster workflow step completions and produced a model only 28% of Datasmith's size
  • How PiXYZ leads in 7 of the 9 areas measured, resulting in a performance advantage of over 70%

Spotlight

The use of VR and AR involves real-time rendering of the CAD data, which consumes a lot of memory and reduces the performance of the application. Data preparation plays a vital role to boost the performance while retaining the topology and mesh quality, and that’s why we use specific software to reduce time and effort.

Download the report to learn:

  • Why Unity’s PiXYZ solution is the top performer for CAD data import and optimization
  • How we outperformed Unreal Datasmith with 66% faster workflow step completions and produced a model only 28% of Datasmith's size
  • How PiXYZ leads in 7 of the 9 areas measured, resulting in a performance advantage of over 70%

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AI TECH

Intel Releases Open Source AI Reference Kits

Intel | July 13, 2022

Intel has released the first set of open source AI reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments. First introduced at Intel Vision, the reference kits include AI model code, end-to-end machine learning pipeline instructions, libraries and Intel oneAPI components for cross-architecture performance. These kits enable data scientists and developers to learn how to deploy AI faster and more easily across healthcare, manufacturing, retail and other industries with higher accuracy, better performance and lower total cost of implementation. “Innovation thrives in an open, democratized environment. The Intel accelerated open AI software ecosystem including optimized popular frameworks and Intel’s AI tools are built on the foundation of an open, standards-based, unified oneAPI programming model. These reference kits, built with components of Intel’s end-to-end AI software portfolio, will enable millions of developers and data scientists to introduce AI quickly and easily into their applications or boost their existing intelligent solutions.” –Wei Li, Ph.D., Intel vice president and general manager of AI and Analytics About AI Reference Kits: AI workloads continue to grow and diversify with use cases in vision, speech, recommender systems and more. Intel’s AI reference kits, built in collaboration with Accenture, are designed to accelerate the adoption of AI across industries. They are open source, pre-built AI with meaningful enterprise contexts for both greenfield AI introduction and strategic changes to existing AI solutions. Four kits are available for download today: Utility asset health: As energy consumption continues to grow worldwide, power distribution assets in the field are expected to grow. This predictive analytics model was trained to help utilities deliver higher service reliability. It uses Intel-optimized XGBoost through the Intel® oneAPI Data Analytics Library to model the health of utility poles with 34 attributes and more than 10 million data points1. Data includes asset age, mechanical properties, geospatial data, inspections, manufacturer, prior repair and maintenance history, and outage records. The predictive asset maintenance model continuously learns as new data, like new pole manufacturer, outages and other changes in condition, are provided. Visual quality control: Quality control (QC) is essential in any manufacturing operation. The challenge with computer vision techniques is that they often require heavy graphics compute power during training and frequent retraining as new products are introduced. The AI Visual QC model was trained using Intel® AI Analytics Toolkit, including Intel® Optimization for PyTorch and Intel® Distribution of OpenVINO™ toolkit, both powered by oneAPI to optimize training and inferencing to be 20% and 55% faster, respectively, compared to stock implementation of Accenture visual quality control kit without Intel optimizations2 for computer vision workloads across CPU, GPU and other accelerator-based architectures. Using computer vision and SqueezeNet classification, the AI Visual QC model used hyperparameter tuning and optimization to detect pharmaceutical pill defects with 95% accuracy. Customer chatbot: Conversational chatbots have become a critical service to support initiatives across the enterprise. AI models that support conversational chatbot interactions are massive and highly complex. This reference kit includes deep learning natural language processing models for intent classification and named-entity recognition using BERT and PyTorch. Intel® Extension for PyTorch and Intel Distribution of OpenVINO toolkit optimize the model for better performance – 45% faster inferencing compared to stock implementation of Accenture customer chatbot kit without Intel optimizations3 – across heterogeneous architectures, and allow developers to reuse model development code with minimal code changes for training and inferencing. Intelligent document indexing: Enterprises process and analyze millions of documents every year, and many of the semi-structured and unstructured documents are routed manually. AI can automate the processing and categorizing of these documents for faster routing and lower manual labor costs. Using a support vector classification (SVC) model, this kit was optimized with Intel® Distribution of Modin and Intel® Extension for Scikit-learn powered by oneAPI. These tools improve data pre-processing, training and inferencing times to be 46%, 96% and 60% faster, respectively, compared to stock implementation of Accenture Intelligent document indexing kit without Intel optimizations4 for reviewing and sorting the documents at 65% accuracy. Why It Matters: Developers are looking to infuse AI into their solutions and the reference kits contribute to that goal. These kits build on and complement Intel’s AI software portfolio of end-to-end tools and framework optimizations. Built on the foundation of the oneAPI open, standards-based, heterogeneous programming model, which delivers performance across multiple types of architectures, these tools help data scientists train models faster and at lower cost by overcoming the limitations of proprietary environments. What's Next: Over the next year, Intel will release a series of additional open source AI reference kits with trained machine learning and deep learning models to help organizations of all sizes in their digital transformation journey. About Intel Intel is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better.

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AI APPLICATIONS

CoreView Launches Business Operations in Australia, Helping Customers Get Microsoft 365 Under Control Worldwide

CoreView | July 11, 2022

CoreView, the global leader in Microsoft 365 Management, today announced the expansion of its business operations in Australia, aimed at strengthening the company’s partnerships with clients in the Asia-Pacific market and responding to increasing demand in the region. This announcement comes in conjunction with the hiring of Chris Lawley as Regional Manager — an expert in SaaS platforms and technology, currently based in Sydney. This expansion comes on the heels of a period of rapid growth for the company, as CoreView has grown by nearly 229 percent in the last 3 years — taking its mission to manage the chaos of Microsoft 365 to a variety of new partners and regions. In tandem with this growth, CoreView has continued to help customers better manage Microsoft 365 — including adding advanced capabilities for managing Microsoft Teams, Teams Voice, and hybrid environments. “I am beyond excited to help introduce and expand CoreView’s presence in Australia and the wider APAC region,” said Lawley. “There is such a clear need for a data- and insights-driven management solution like CoreView, particularly given how heavily regulated security and compliance are in this market. As such, I have no doubt that CoreView will provide a number of benefits to our current and future partners here, helping uplevel IT management in the Microsoft 365 space.” Already working with resellers in North America, Europe and the Middle East, CoreView also recently signed strategic deals with Data3 and rhipe — a Crayon Company — leaders in cloud solutions and technology in Asia-Pacific — with a healthy pipeline of additional relationships and deals lined up. As the premier Microsoft 365 management solution, CoreView’s goal is to empower partners with the data, insights, and actionable processes necessary to support operational improvements and enable real transformation for customers. About CoreView CoreView stops the chaos and gets Microsoft 365 under control. The CoreView Microsoft 365 Management Platform helps IT teams get the full value from Microsoft 365, gain full oversight of their environment, and move at full speed. More than 10 million users and the world’s largest organizations rely on CoreView to craft perfect privileges, eliminate wasted licenses, drive adoption, and automate repetitive tasks. A Microsoft Gold Partner, CoreView is Co-Sell Prioritized and available on the Azure Marketplace.

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AI TECH,AI APPLICATIONS

UJET Launches AI-Modeled Interaction Design to Identify and Value Optimal Virtual Agent Deployments

UJET | August 19, 2022

UJET, Inc., the world’s most advanced cloud contact center provider, today announces advanced AI-guided customer service operations that leverage hundreds of thousands of customer insights to drive enhanced customer experience (CX) capabilities and automated virtual agent responses. “Contact center demand is rising as labor shortages continue. As a result, wait times are longer than ever, service is suffering and customers are rightfully irritable. AI can and should take on a more prominent role to keep businesses running smoothly and customers happy. “Our latest AI technology holds immense potential to transform organizations and when designed correctly, can dramatically improve experiences, enhance efficiency, raise productivity, and drive growth.” Vasili Triant, Chief Operating Officer at UJET UJET’s AI-modeled Interaction Design for Virtual Agents helps companies identify the most common customer needs, informed by large-scale AI insights directly from customers, and then automates their resolution without consuming countless staff hours. Leveraging conversational AI and machine learning powered by Google’s CCAI Insights, UJET architects a contact center’s optimization roadmap to unlock the human and machine capabilities. With topic and conversation analysis, companies can get a prioritized list of the virtual agents they need to make the biggest difference for CX. This improves key customer care metrics such as wait time, self-service rate, first-call resolution and much more. The data gathered has dozens, if not hundreds of actionable insights and capabilities, including: Resolving recurring points of customer concerns, such as issues with payment methods, passwords, website/app rendering on different platforms and much more. Proactively address rising trends in complaints or returns before they become a bigger problem. Harnessing customer insights based on repeated requests for new product lines or enhancements to existing products/services. Gathering competitive intelligence directly from end-users. Hear directly from customers on what they liked or didn’t like with a previously tried competitor. "There's tremendous value in contact center data, and most current use cases leverage call data to automate answers to common questions. While a good start, UJET is using Google AI to go even further. This solution is using contact center data to optimize the entire CX flow by first identifying the best opportunities for automation,” says Dave Michels, principal analyst and founder of TalkingPointz Research. “With UJET, companies get massive-scale analysis of actual customer data, prioritized ideal use cases for virtual agents, and a detailed ROI and value analysis on those use cases. This use of conversational AI focuses more on overall CX rather than just automation.” UJET offers a fundamentally different way of thinking so companies can make automation their competitive advantage and help customer experience shift from cost center to value creator. About UJET UJET is reimagining the contact center for modern consumers and brands. Our one-of-a-kind architecture delivers an entirely new foundation for security, reliability, and scale across customer service operations. A full voice and digital engagement suite is complemented by powerful AI and advanced analytics capabilities, and easy-to-use, intuitive design to make life easier for everyone involved - from customers and agents to supervisors and executives - all while driving meaningful operational efficiencies. Smart device capabilities like channel blending, photo and video sharing, and biometric authentication are available to deploy for full CX transformation when you’re ready. Innovative brands like Instacart, Turo, Wag!, and Atom Tickets trust UJET to deliver exceptional CX, no matter their size or location. So can you.

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