A spectrum of challenges, a spectrum of opportunities

April 17, 2019 | 101 views

Licensed spectrum can be a considerable expense for mobile network operators. Although market conditions have changed since the UK 3G spectrum auction3 in 2000, the acquisition cost of a spectrum band license should not be ignored. And while unlicensed spectrum may be used too, the benefits of “exclusivity” make licensed spectrum the preferred option.

Spotlight

XS Infosol Inc.

XS Infosol offers you professional software solutions that allow you to harness the power of the computer and Internet. Our products are engineered from the ground up to give you maximum performance, extreme speed and unflinching reliability !

OTHER ARTICLES
SOFTWARE

AI's Impact on Improving Customer Experience

Article | July 8, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

Read More
SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | July 14, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

Read More
FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 26, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

Read More
SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

Read More

Spotlight

XS Infosol Inc.

XS Infosol offers you professional software solutions that allow you to harness the power of the computer and Internet. Our products are engineered from the ground up to give you maximum performance, extreme speed and unflinching reliability !

Related News

NetElastic Combines SD-WAN, Application Visibility on New Enterprise Router

SDxCentral | April 23, 2019

NFV startup NetElastic Systems launched an enterprise branch router that integrates both application visibility and SD-WAN. The EBR 1000A router is based on the company’s existing routing technology, but includes an integrated deep packet inspection engine that provides in-depth application visibility. It also relies on cloud or local-based management for service providers and enterprise end-users to prioritize application traffic across two WAN connections. NetElastic is a three-year old Santa Clara, California-based startup that offers a line of NFV and routing software built specifically for carrier networks and enterprises. This includes a virtual Broadband Network Gateway (vBNG), a virtual router, SD-WAN, virtual Provider Edge (vPE) router, and now its new enterprise router. According to Rich Sabin, director of marketing at NetElastic, the company began its foray into SD-WAN in 2018, “developing a carrier-centric solution suitable for smaller enterprise customers who are more cost conscious.” The company found that the first-generation of SD-WAN was sold directly to customers, but that service providers and carriers can help increase the scalability and profitability of the SD-WAN market. NetElastic also saw the need for an SD-WAN service that could deliver higher internet speeds as enterprises increasingly adopted high-speed broadband. NetElastic says that its SD-WAN can deliver 1 Gb/s running on low-cost white box appliances, and that its branch router can deliver up to 2 Gb/s, or a full gigabit per WAN link. The new router addresses application awareness at the enterprise branch. It monitors all available WAN connections for path performance, capacity, loss, jitter, and latency to route applications to the best path. It can also detect more than 1,000 predefined applications and other customer-defined applications.

Read More

China Unicom Signals Intent to Be Among First With 5G

SDxCentral | April 23, 2019

China Unicom is gearing up to become the first Chinese carrier to launch commercial 5G services for consumers next month and firmly position China as one of the frontrunners that will drive the next generation of mobile technology. China seemed to have lost momentum compared to rival regions, after carriers in South Korea, Switzerland, and the United States moved ahead with their respective commercial 5G launches. China Unicom is now clearly putting its foot on the gas, placing 5G front and center at the carrier’s partner conference in Shanghai this week with a raft of announcements ranging from the launch of smartphone devices through to availability of its 5G network. For example, the Chinese carrier launched a “5G pioneer program” to enable “friendly” 5G users to sign up to trial consumer 5G services; unveiled the “5Gn” logo for future networks and services; confirmed full 5G coverage for trials in seven cities (Beijing, Shanghai, Guangzhou, Shenzhen, Nanjing, Hangzhou and Xiongan) and partial coverage in 33 cities; and signaled the readiness of 5G smartphones from Huawei, ZTE, Oppo, Vivo, Xiaomi, and Nubia. Qualcomm Technologies also confirmed it is supporting China Unicom’s 5G rollout in collaboration with the smartphone vendors, although the U.S. chipset company additionally mentioned OnePlus in its release but excluded Huawei. China Unicom also made reference to two 5G alliances: one it referred to as the China Unicom 5G Application Innovation Alliance, which it said was launched at the conference with 32 partners in the fields of new media, industrial Internet, connected cars, healthcare, education, and tourism; and a second it called the 5G International Cooperation Alliance with the aim of exploring international 5G roaming. BT, NTT, Orange, and Telefonica were name checked here, although few other details were provided. Furthermore, China Unicom flagged the signing of a memorandum of strategic cooperation with Intel for the Winter Olympics in Beijing in 2022 with a focus on smart applications for the venue. China Unicom and Nokia have also partnered on a cooperative 4G and 5G network running on a cloud-based radio access network (cRAN) in the Xiongan. The network, which the vendors have dubbed the “world’s largest field trial,” will target use cases for 5G and demonstrate how networks can separate software and hardware to more rapidly deploy 5G.

Read More

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.

Read More

NetElastic Combines SD-WAN, Application Visibility on New Enterprise Router

SDxCentral | April 23, 2019

NFV startup NetElastic Systems launched an enterprise branch router that integrates both application visibility and SD-WAN. The EBR 1000A router is based on the company’s existing routing technology, but includes an integrated deep packet inspection engine that provides in-depth application visibility. It also relies on cloud or local-based management for service providers and enterprise end-users to prioritize application traffic across two WAN connections. NetElastic is a three-year old Santa Clara, California-based startup that offers a line of NFV and routing software built specifically for carrier networks and enterprises. This includes a virtual Broadband Network Gateway (vBNG), a virtual router, SD-WAN, virtual Provider Edge (vPE) router, and now its new enterprise router. According to Rich Sabin, director of marketing at NetElastic, the company began its foray into SD-WAN in 2018, “developing a carrier-centric solution suitable for smaller enterprise customers who are more cost conscious.” The company found that the first-generation of SD-WAN was sold directly to customers, but that service providers and carriers can help increase the scalability and profitability of the SD-WAN market. NetElastic also saw the need for an SD-WAN service that could deliver higher internet speeds as enterprises increasingly adopted high-speed broadband. NetElastic says that its SD-WAN can deliver 1 Gb/s running on low-cost white box appliances, and that its branch router can deliver up to 2 Gb/s, or a full gigabit per WAN link. The new router addresses application awareness at the enterprise branch. It monitors all available WAN connections for path performance, capacity, loss, jitter, and latency to route applications to the best path. It can also detect more than 1,000 predefined applications and other customer-defined applications.

Read More

China Unicom Signals Intent to Be Among First With 5G

SDxCentral | April 23, 2019

China Unicom is gearing up to become the first Chinese carrier to launch commercial 5G services for consumers next month and firmly position China as one of the frontrunners that will drive the next generation of mobile technology. China seemed to have lost momentum compared to rival regions, after carriers in South Korea, Switzerland, and the United States moved ahead with their respective commercial 5G launches. China Unicom is now clearly putting its foot on the gas, placing 5G front and center at the carrier’s partner conference in Shanghai this week with a raft of announcements ranging from the launch of smartphone devices through to availability of its 5G network. For example, the Chinese carrier launched a “5G pioneer program” to enable “friendly” 5G users to sign up to trial consumer 5G services; unveiled the “5Gn” logo for future networks and services; confirmed full 5G coverage for trials in seven cities (Beijing, Shanghai, Guangzhou, Shenzhen, Nanjing, Hangzhou and Xiongan) and partial coverage in 33 cities; and signaled the readiness of 5G smartphones from Huawei, ZTE, Oppo, Vivo, Xiaomi, and Nubia. Qualcomm Technologies also confirmed it is supporting China Unicom’s 5G rollout in collaboration with the smartphone vendors, although the U.S. chipset company additionally mentioned OnePlus in its release but excluded Huawei. China Unicom also made reference to two 5G alliances: one it referred to as the China Unicom 5G Application Innovation Alliance, which it said was launched at the conference with 32 partners in the fields of new media, industrial Internet, connected cars, healthcare, education, and tourism; and a second it called the 5G International Cooperation Alliance with the aim of exploring international 5G roaming. BT, NTT, Orange, and Telefonica were name checked here, although few other details were provided. Furthermore, China Unicom flagged the signing of a memorandum of strategic cooperation with Intel for the Winter Olympics in Beijing in 2022 with a focus on smart applications for the venue. China Unicom and Nokia have also partnered on a cooperative 4G and 5G network running on a cloud-based radio access network (cRAN) in the Xiongan. The network, which the vendors have dubbed the “world’s largest field trial,” will target use cases for 5G and demonstrate how networks can separate software and hardware to more rapidly deploy 5G.

Read More

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.

Read More

Events