5G Apps: How Developers Can Offer More Safety

March 28, 2019 | 50 views

5G is coming. The initial stages of the 5G rollout are already underway here in the United States, with full 5G network capability projected by the end of 2020. Which means native 5G apps are right behind. 3G changed the world. Then 4G and LTE changed it again. And consumer app developers can expect 5G apps to once again change everything about how mobile users engage with their devices.

Spotlight

Cerebri AI

Headquartered in Austin with offices in Toronto and Washington DC, Cerebri AI is a venture-backed pioneer in artificial intelligence and machine learning. Over the last five years, Cerebri AI has developed the CVX platform (now in its 3rd generation). CVX enables Continuous Intelligence (CI), the ability to integrate raw data, calculate engineered data into datasets in real-time, score KPIs, generate insights seamlessly at scale. In addition, Cerebri AI is the creator of Cerebri Values™, the industry’s first universal measure of customer success. Cerebri Values quantifies each customer’s commitment to a brand or product and dynamically predicts Best Actions at scale, enabling enterprises to focus on accelerating profitable growth.

OTHER ARTICLES
FUTURE TECH

The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 26, 2022

Fifth-generation (5G) mobile phone networks that can carry data up to 50 times faster than major carriers' current phone networks are now rolling out. But 5G promises to do more than just speed up our phone service and download times. The mobile industry's fifth-generation (5G) networks are being developed and are prepared for deployment. The expansion of IoT and other intelligent automation applications is being significantly fueled by the advancing 5G networks, which are becoming more widely accessible. For advancements in intelligent automation—the Internet of Things (IoT), Artificial Intelligence (AI), driverless cars, virtual reality, blockchain, and future innovations we haven't even considered yet—5 G's lightning-fast connectivity and low-latency are essential. The arrival of 5G represents more than simply a generational shift for the tech sector as a whole. Contributions by 5G Networks For a number of reasons, the manufacturing sector is moving toward digitalization: to increase revenue by better servicing their customers; to increase demand; to outperform the competition; to reduce costs by boosting productivity and efficiency; and to minimize risk by promoting safety and security. The main requirements and obstacles in the digitization industry were recently recognized by a study. Millions of devices with ultra-reliable, robust, immediate connectivity. Gadgets, which are expensive with a long battery life. Asset tracking along the constantly shifting supply chains. Carrying out remote medical operations. Enhancing the purchasing experience with AR/VR. Implementing AI to improve operations across the board or in various departments. The mobile telecommunications requirements of the Internet of Things cannot be met by the current 4G and 4G LTE networks. Compared to current 4G LTE networking technologies, 5G can also offer a solution to the problem and the quickest network data rate with a relatively low cost and greater communication coverage. The 5G network's quick speeds will lead to new technical developments. The upcoming 5G technology will support hundreds of billions of connections, offer transmission speeds of 10 Gbps, and have an extremely low latency of 1 ms. Additionally, it makes rural areas' services more dependable, minimizing service disparities between rural and urban areas. Even though the 5G network is a development of the 4G and 4G LTE networks, it has a whole new network design and features like virtualization that provide more than impressively fast data speeds.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | July 13, 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.

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SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | July 8, 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.

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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 7, 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.

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Spotlight

Cerebri AI

Headquartered in Austin with offices in Toronto and Washington DC, Cerebri AI is a venture-backed pioneer in artificial intelligence and machine learning. Over the last five years, Cerebri AI has developed the CVX platform (now in its 3rd generation). CVX enables Continuous Intelligence (CI), the ability to integrate raw data, calculate engineered data into datasets in real-time, score KPIs, generate insights seamlessly at scale. In addition, Cerebri AI is the creator of Cerebri Values™, the industry’s first universal measure of customer success. Cerebri Values quantifies each customer’s commitment to a brand or product and dynamically predicts Best Actions at scale, enabling enterprises to focus on accelerating profitable growth.

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

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