CSP Best Practices for Delivering Secure SD-WAN

February 24, 2019 | 44 views

Software-defined wide area networking (SD-WAN) is growing in popularity, as small to midsize businesses (SMBs) and enterprises realize the cost and performance benefits of using it for branch and cloud connectivity. Communication services providers (CSPs) are investing in solutions to deliver SD-WAN to their clients, but as they do, they need to address the security issues associated with SD-WAN implementations.

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RTL Networks

Founded in 2002, RTL Networks, Inc. is an energetic company, which successfully brings together experienced engineers, proven products, methodologies and a wide array of Professional Service offerings to assist its customers in finding and implementing the correct choices for their business needs. The success of RTL Networks, Inc. can be measured, not only by it's long list of satisfied customers, but also by the numerous awards and recognition received from customers, the community, the SBA as well as leading publications such as Inc Magazine and others.

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AI TECH

AI's Impact on Improving Customer Experience

Article | July 11, 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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AI TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 20, 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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SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | July 8, 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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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.

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Spotlight

RTL Networks

Founded in 2002, RTL Networks, Inc. is an energetic company, which successfully brings together experienced engineers, proven products, methodologies and a wide array of Professional Service offerings to assist its customers in finding and implementing the correct choices for their business needs. The success of RTL Networks, Inc. can be measured, not only by it's long list of satisfied customers, but also by the numerous awards and recognition received from customers, the community, the SBA as well as leading publications such as Inc Magazine and others.

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flexiWAN Launches With Open Source SD-WAN Architecture

SDxCentral | April 09, 2019

A new startup is joining the SD-WAN space with an open architecture. The Israel-based company, flexiWAN, is seeking to solve some of the problems created by the crowded SD-WAN market today. flexiWAN CEO and co-founder Amir Zmora first saw the need for an open SD-WAN architecture when he was working as a consultant for enterprises and service providers in the SD-WAN and Voice-over-IP (VoIP) space.In conversations, he realized that SD-WAN had a few problems that openness could solve: IT managers have limited control of their networks and the elements and technologies that comprise them; and networking (especially SD-WAN) requires expertise in a number of domains. So no single vendor can provide in-depth expertise across all domains. And while service providers have some opportunity in these two areas as they can prioritize and optimize different parts of an enterprise’s network, this requires a multi-vendor approach and they are forced to sell closed, vendor-specific services that don’t interconnect, Zmora said. This is not a valid long-term solution, as future enterprise requirements are unknown and will evolve and current services will be rendered useless. So flexiWAN is breaking the vendor lock-in and “monopoly” that exists today with a “decomposed” SD-WAN architecture. “Enterprises and service providers were locked to use all networking applications from a single vendor. With flexiWAN, they will be able to pick and choose [the] best of breed,” said Zmora. flexiWAN officially launched today, though it is still in the development phase. Its software is available now to only enterprises and service providers for private proof of concept (PoC), which it has already been conducting. It plans to launch an open source, production-ready version toward the end of this year.

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AT&T Works With VMware to Combine SD-WAN, 5G Capabilities

SDxCentral | February 24, 2019

AT&T and VMware are partnering to implement 5G capabilities into the carrier’s SD-WANoffering. AT&T called this a “transformative combination,” claiming that it will bring better control to both the SD-WAN software and the cellular network. AT&T has two SD-WAN offerings: its network-based SD-WAN, which it initially launched in the U.S. in 2017 and expanded to over 150 countries in 2018, and its over-the-top SD-WAN offering, which is based on VMware’s VeloCloud SD-WAN. Both offerings will use VMware technology. The carrier launched its mobile 5G service in 12 markets at the end of last year. AT&T later said that alongside mobile 5G, fixed wireless and edge computing will comprise its three service pillars of its 5G strategy. This extension of AT&T’s partnership with VMware is part of its fixed wireless pillar in that it will add the SD-WAN services as part of its nationwide Wireless Broadband offering. Starting now, businesses will be able to leverage SD-WAN alongside its cellular network, and will be able to upgrade that to 5G connection — when it’s available — by changing the modem. The 5G capabilities will extend its current SD-WAN offerings where it’s deployed. AT&T says that combining SD-WAN and 5G will work on two levels to provide flexibility to manage applications at the network edge. One, it will be able to tell applications which transport to use, and two, it will control the policies for traffic moving over 5G. One use case that the carrier identified was in the manufacturing industry. It said that the 5G network would be able to isolate a slice of the network to handle certain floor robotics that rely on ultra-low latency, and run the less time-sensitive edge compute services across a parallel path.

Read More

128 Technology Is Starting a Revolution for Secure SD-WAN, Networking

SDxCentral | February 21, 2019

As SD-WAN matures, the more critical its security is becoming for enterprise customers. And while vendors are working on various strategies to secure the technology, 128 Technology believes that the best way for enterprises to protect themselves against threats is by eliminating tunnel-based approaches to SD-WAN. 128 Technology is a 4-year-old networking startup that developed a pure-software service to simplify routing and offer a different approach to the SD-WAN use case. Instead of using tunnels to connect different areas of a network, it uses something it calls multi-path secure vector routing. The software routes traffic across public and private networks, and then metadata communicates how to route packets from one private network to another. In addition, it doesn’t require overlay networks nor restrict the WAN to just one vendor. And while 128 is a pure software company, it has partnerships with a number white box companies to create universal CPE (uCPE) hardware to deploy. This includes Lanner, which it partnered with in October 2017, as well as Silicom, Advantech, and Kontron. When it first launched, it didn’t want to be referred to as an SD-WAN company. Patrick MeLampy, 128’s chief operating officer, has now backtracked a bit on that sentiment.

Read More

flexiWAN Launches With Open Source SD-WAN Architecture

SDxCentral | April 09, 2019

A new startup is joining the SD-WAN space with an open architecture. The Israel-based company, flexiWAN, is seeking to solve some of the problems created by the crowded SD-WAN market today. flexiWAN CEO and co-founder Amir Zmora first saw the need for an open SD-WAN architecture when he was working as a consultant for enterprises and service providers in the SD-WAN and Voice-over-IP (VoIP) space.In conversations, he realized that SD-WAN had a few problems that openness could solve: IT managers have limited control of their networks and the elements and technologies that comprise them; and networking (especially SD-WAN) requires expertise in a number of domains. So no single vendor can provide in-depth expertise across all domains. And while service providers have some opportunity in these two areas as they can prioritize and optimize different parts of an enterprise’s network, this requires a multi-vendor approach and they are forced to sell closed, vendor-specific services that don’t interconnect, Zmora said. This is not a valid long-term solution, as future enterprise requirements are unknown and will evolve and current services will be rendered useless. So flexiWAN is breaking the vendor lock-in and “monopoly” that exists today with a “decomposed” SD-WAN architecture. “Enterprises and service providers were locked to use all networking applications from a single vendor. With flexiWAN, they will be able to pick and choose [the] best of breed,” said Zmora. flexiWAN officially launched today, though it is still in the development phase. Its software is available now to only enterprises and service providers for private proof of concept (PoC), which it has already been conducting. It plans to launch an open source, production-ready version toward the end of this year.

Read More

AT&T Works With VMware to Combine SD-WAN, 5G Capabilities

SDxCentral | February 24, 2019

AT&T and VMware are partnering to implement 5G capabilities into the carrier’s SD-WANoffering. AT&T called this a “transformative combination,” claiming that it will bring better control to both the SD-WAN software and the cellular network. AT&T has two SD-WAN offerings: its network-based SD-WAN, which it initially launched in the U.S. in 2017 and expanded to over 150 countries in 2018, and its over-the-top SD-WAN offering, which is based on VMware’s VeloCloud SD-WAN. Both offerings will use VMware technology. The carrier launched its mobile 5G service in 12 markets at the end of last year. AT&T later said that alongside mobile 5G, fixed wireless and edge computing will comprise its three service pillars of its 5G strategy. This extension of AT&T’s partnership with VMware is part of its fixed wireless pillar in that it will add the SD-WAN services as part of its nationwide Wireless Broadband offering. Starting now, businesses will be able to leverage SD-WAN alongside its cellular network, and will be able to upgrade that to 5G connection — when it’s available — by changing the modem. The 5G capabilities will extend its current SD-WAN offerings where it’s deployed. AT&T says that combining SD-WAN and 5G will work on two levels to provide flexibility to manage applications at the network edge. One, it will be able to tell applications which transport to use, and two, it will control the policies for traffic moving over 5G. One use case that the carrier identified was in the manufacturing industry. It said that the 5G network would be able to isolate a slice of the network to handle certain floor robotics that rely on ultra-low latency, and run the less time-sensitive edge compute services across a parallel path.

Read More

128 Technology Is Starting a Revolution for Secure SD-WAN, Networking

SDxCentral | February 21, 2019

As SD-WAN matures, the more critical its security is becoming for enterprise customers. And while vendors are working on various strategies to secure the technology, 128 Technology believes that the best way for enterprises to protect themselves against threats is by eliminating tunnel-based approaches to SD-WAN. 128 Technology is a 4-year-old networking startup that developed a pure-software service to simplify routing and offer a different approach to the SD-WAN use case. Instead of using tunnels to connect different areas of a network, it uses something it calls multi-path secure vector routing. The software routes traffic across public and private networks, and then metadata communicates how to route packets from one private network to another. In addition, it doesn’t require overlay networks nor restrict the WAN to just one vendor. And while 128 is a pure software company, it has partnerships with a number white box companies to create universal CPE (uCPE) hardware to deploy. This includes Lanner, which it partnered with in October 2017, as well as Silicom, Advantech, and Kontron. When it first launched, it didn’t want to be referred to as an SD-WAN company. Patrick MeLampy, 128’s chief operating officer, has now backtracked a bit on that sentiment.

Read More

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