Big Data is Kind of a Big Deal: Analyze it to Make Better Business Decisions

ALEKSEI ANTONOV | November 27, 2018

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Big data is disrupting every industry it integrates with, altering the corporate landscape by determining market trends, behavioral analysis, and other insights that only improve business decisions. Detecting and understanding large, verified data sets of hidden patterns, as well as unknown correlations, it’s helping startups make better decisions as they seek financial growth and recognition, build effective business strategies, and maintain customer satisfaction.

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SCALABLE Network Technologies

SCALABLE Network Technologies is the leading provider of live/virtual/constructive communications/networking modeling and simulation tools across all domains (undersea-to-space). We deliver virtualization technology for development, analysis, evaluation, and training to military, governmental, commercial, and academic institutions. Our high fidelity, real-time simulation platform incorporates physics-based models of military and commercial satellite, tactical, acoustic and optical networks along with emulation interfaces for live/virtual/constructive integration.

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Predictions on Software Development Trends of 2022

Article | July 14, 2021

The world has started stepping into the “new normal” era. With the boost in vaccine inventions and countries rapidly vaccinating their citizens, we will be back to living a ‘new normal’ life. We keep mentioning normal as the ‘new normal’ because things will never be the same as before the pandemic. A majority of changes have happened for the best. Nevertheless, challenges emerged in the pandemic, and these were answered by innovations. Let us precisely talk about the innovations in software development trends. Digitalization played a vital role in transforming society and overcoming the hurdles created by the pandemic. Hybrid working style, chatbots, IoT, AI, and development in applications to improve performance and customer experience are the key software development trends that are on the rise. Growth Predictions Post Pandemic ● 63.3% of companies consider accelerated digital transformation. ● IaaS market solutions will be worth $64 billion. ● Online sales will account for 22% of global retail (currently it is 14%) ● The utilization of low code products will reach 50%. ● The outsourcing services industry is estimated to reach more than $66 billion. Software development trends have led to a boom in the software industry. As a result, all the sectors have turned towards software for solutions. Observing this change of scenario, here are some of the predictions on software development trends that will rule the industry by 2022. Software Development Trends IoT The combination of AI and Big Data with IoT has led to significant changes in the IoT industry. IoT has profoundly incorporated its way into daily human life. It eases everyday chores by connecting all the devices with sensors and syncs them automatically. The machines understand our timely needs and act subsequently. IoT has come a long way from just connecting the phone and the laptop. Instead, the day starts with Alexa, Siri, or Google. From telling them to turn on your coffee maker to adjusting your AC temperature, every little thing is manageable by the internet of things! As a result, more and more devices are built with sensors to simplify everyday processes. Thus, IoT is one of the software development trends to be utilized in various sectors by 2022. IoT has groundbreaking potential and has been adapted in smart cities. The smart cities project is a possibility only because of IoT. Progressive Web Apps (PWA) Progressive Web Apps are a trend in software development that is gaining popularity in these challenging times. PWA are apps that combine the functions of native apps and website accessibility. They provide the same user experience as native apps without having the hassle of upgrading and installing for web or mobile devices. Easy maintenance, one codebase, easily searchable, lightweight, and operating offline are some of the advantages of progressive web apps. PWA is here to stay and is the latest in software development. It is progressive, responsive, connectivity-independent, secure, easily installable, and linkable. As a result, many companies are switching their websites and apps to PWA for hassle-free code development and a great user experience. Low-Code Development Be it software developers, web developers, or users, low-code development is a hit amongst all. This new technology in software development saves time, is fast and intuitive. The long hours spent in coding every line are held by low code development. Herein the code is sketched like a flowchart and fed into the machine. As a result, a lot of manual effort is saved. Low-code development is one of the latest technologies in software and the future of the software industry. Traditional developers thought that this process did not have much potential, but the pandemic changed this thought. Low-code development will allow people with little digital skills to digitalize their ideas. Building apps quickly is the need of the hour, and low code development helps achieve that. This trend will also help in bridging the gap between the supply and demand of software engineers. AR (Augmented Reality) Augmented reality has appallingly changed the marketplace. Customers can virtually try new makeup or beauty products without even touching the product. The beauty industry has seen incredible conversion while using AR for its marketing. Similarly gone are the days of 2D mapping. AR has managed to bring 3D mapping into our lives. Be it gaming or navigation; augmented reality has strongly made things attractive. AR is a hit in advertisements. Companies are luring customers by adding filters or creating environments in apps. This has shown great conversion numbers to the businesses. This is because AR is software that is more than visually appealing. It improves functionality, enhances effectiveness, and creates brand value. As a result, we are going to see more from this technology in 2022. Big Data Using Big Data is building credibility. Security has a whole new meaning post-Covid-19. The public has become aware of the information that it will allow access to. This has led to a boost in the use of Big Data. By 2022 Big Data can be used as DaaS (Data as a Service). This will allow companies to access the required data, and thus redundancy is avoided. The use of Big Data has proven to provide data-driven solutions. It is giving the customers exactly what they are looking for. And this can be achieved only when you have proper segregation and security of a large amount of data. Netflix has proven its popularity by utilizing Big Data and giving the viewers the exact content they are looking for. Thus, Big Data is a software trend that will be a compulsion for companies to adapt in the future. AI (Artificial Intelligence) This list would be incomplete without mentioning the hottest software trend in the market these days. In the last five years, AI is one industry that has gained tremendous momentum. This is because machines are trained to think and perform tasks that were possible only for humans. The combination of machine learning, deep learning, neural networks, and machine control has already enhanced customer experience in various sectors. The improved user experience, better efficiency, less prone to errors, reduced costs, and increase in ROI have made AI a dominant trend in the technology world. By 2022 there will hardly be a sector that has not implemented AI. From the demand and supply chain industry to predicting stock markets, we will see a lot of AI everywhere. Conclusion: Be Ready for 2022! These are some of the predictions of software development trends 2022. There will be enormous changes in the lifestyle, working style, and adaptive measures taken by humans. And in this changing era, technology trends will guarantee maximum productivity along with comfort. As the pandemic unfolds and most of the population gets vaccinated, there will be turning points in the latest software trends and the IT industry. There will be minor glitches and fluctuations, but these newest software development trends will help overcome them all. They assure an increase in revenues and adding value to the brand of the company. Software development is not just a trend in software engineering but a process of continuous innovation. Of course, the predictions of technological processes are pretty unpredictable as inventions surge. But one predictable thing is that game-changing technology trends will keep emerging, and there are no stopping innovations in these fields. Frequently Asked Questions What are the top 3 emerging technologies in software? AI (Artificial Intelligence) dominates the emerging technology industry, followed by IoT (Internet of Things) and then AR (Augmented Reality), VR (Virtual Reality), and MR (Mixed Reality). These play a predominant role in changing the face of technology. What is trending in software development nowadays? The current trends in software development are AI chatbots, powerful programming languages, and active incorporation of IaaS, PaaS, SaaS, DaaS to provide flexibility and improve productivity. These effective solutions are implemented to build apps, websites, manage hybrid working culture, and ease communication processes between teams. Why should you track trends in software development? It is the need of the hour to digitalize the business. If you keep up with the rapidly changing software trends, you can be distinguished from your competitors, and it will help you stay ahead of the race. Your products/services will be productive, efficient, and trusted by the customers. If you do not digitalize your businesses and incorporate the required technology, your business will cease to exist. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the top 3 emerging technologies in software?", "acceptedAnswer": { "@type": "Answer", "text": "AI (Artificial Intelligence) dominates the emerging technology industry, followed by IoT (Internet of Things) and then AR (Augmented Reality), VR (Virtual Reality), and MR (Mixed Reality). These play a predominant role in changing the face of technology." } },{ "@type": "Question", "name": "What is trending in software development nowadays?", "acceptedAnswer": { "@type": "Answer", "text": "The current trends in software development are AI chatbots, powerful programming languages, and active incorporation of IaaS, PaaS, SaaS, DaaS to provide flexibility and improve productivity. These effective solutions are implemented to build apps, websites, manage hybrid working culture, and ease communication processes between teams." } },{ "@type": "Question", "name": "Why should you track trends in software development?", "acceptedAnswer": { "@type": "Answer", "text": "It is the need of the hour to digitalize the business. If you keep up with the rapidly changing software trends, you can be distinguished from your competitors, and it will help you stay ahead of the race. Your products/services will be productive, efficient, and trusted by the customers. If you do not digitalize your businesses and incorporate the required technology, your business will cease to exist." } }] }

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NEUROMORPHIC CHIPS: THE THIRD WAVE OF ARTIFICIAL INTELLIGENCE

Article | July 14, 2021

The age of traditional computers is reaching its limit. Without innovations taking place, it is difficult to move past the technology threshold. Hence it is necessary to bring major design transformation with improved performance that can change the way we view computers. The Moore’s law (named after Gordon Moore, in 1965) states that the number of transistors in a dense integrated circuit doubles about every two years while their price halves. But now the law is losing its validity. Hence hardware and software experts have come up with two solutions: Quantum Computing and Neuromorphic Computing. While quantum computing has made major strides, neuromorphic is still in its lab stage, until recently when Intel announced its neuromorphic chip, Loihi. This may indicate the third wave of Artificial Intelligence.

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The Future of Digital Advertising: AI & Advertising

Article | July 14, 2021

The world of digital advertising is witnessing a great change, all thanks to Artificial Intelligence (AI). As AI keeps on advancing, we will see more and more improvements in digital advertising strategies for the companies to get profitable customer insights. The automobile giant, Lexus, is the first company to release an AI-scripted advertisement. According to the report from Variety, IBM Watson was used by Lexus to analyse car and luxury brand campaigns that have received the Cannes Lions award in the category of creativity. However, it was not the only motive of IBM Watson. A wide range of other external information was also analysed with the help of it. This turned out to be a great move as Watson was successful in identifying dataset elements that would relate to customers on emotional levels. What was behind this achievement? Of course, AI. But there was even a bigger message — AI is the future of advertising. Today, there are multiple commercially available platforms that can generate advertisements without the involvement of humans. But, AI is not just about creating ads. It has the power to transform every single possible thing in the advertising industry in 2021 and beyond, be it ad buying or even audience targeting. Don't be surprised to read every content throughout your day that is written by AI in the coming years. Luckily for writers like me, our industry is not there yet. As we have just stepped into a whole new decade, it’s a good moment to think about the future of advertising where AI will play a vital role. So without further ado, let’s get into it! The Future Of Advertising Has Already Begun Just like any other marketers or businesses, we always try to predict or guess what the future of advertising holds for us. Yes, there certainly are some known things and some unknown ones. However, we still can discuss how it can be considering all the potential changes and variables. The major reason behind this is, the future of advertising has already begun a few years back. How? Well, most of the futuristic trends of the advertising world have already kicked off. Especially those trends that are going to be the hot buzz in the coming decade. But here lies one important question, which of these trends will impact the future of advertising the most? And, what does AI have to do with this? Well…if you closely look at the current advertising trends, AI-powered sophisticated delivery systems are behind most online ads. Such systems are capable of placing ads in front of millions of internet users at the same time. The best thing — the coordination between the ads and the internet users occurs in real-time. And, it is ridiculously automatic. The theoretical term for this kind of advertising is programmatic advertising. With this tech, artificial intelligence is used to profile visitors to apps or websites. Using this information, the targets are fixed and then ads are delivered. This becomes possible because of a modern ad supply chain that involves a complex network of services and platforms that have a different role to play at each stage. Nowadays, the ad industry is being dominated by this type of AI-powered programmatic advertising. If we look at the predictions forwarded by eMarketer, more than 86 per cent of the display ads in the United States will be in front of the people because of automated channels. In fact, programmatic advertising is used in every 8 out of 10 mobile display ads. Furthermore, we all see recommended products on Google and Facebook, don't we? How are these ads powered? Yes, you guessed it right, that’s AI. The stats are even more surprising — these firms captured around 90% of the advertising business back in 2017. AI has made it extremely simple for brands to advertise online at scale. And, this is just the beginning. AI goes much further than just scaling when it comes to the future of advertising. The current cut-throat competition has made it difficult for brands to create and deliver more relevant, more personalised, and more contextual ads to specific customer preferences. As a result, AI is the only way to fulfil this need. And ultimately, this fact holds a lot of implications for the future of advertising. How AI Can Improve The Digital Advertising Trends It is human psychology to personalize messages in face-to-face or one-on-one contexts. This happens with the people we already know. For example, we communicate with a family member, a friend, or a coworker keeping their possible response in mind. We know them and eventually have an idea about their preferences, desires, and behaviours. But when it is about tailoring and personalizing messages at scale, there is a need for contextual data on thousands of consumers. In such a case, we need to have the customer information so that we can analyse it and then develop the right communication of each of them. Humans do not have the required intellectual bandwidth, resources, and time for this enormous task. But thankfully, AI has that all. No wonder that more and more businesses are counting on AI for ad creation at scale. Even though this is just the beginning of the AI era, it has already started impacting many advertisers out there. For instance, AI can overrule all the advertising decisions made by your corporate team even if they have spent a significant amount of time and money to create them. To know this better, suppose you have created an ad on Facebook. The algorithm powered by AI analyses your ad and determines its relevance score. The delivery of your ad depends on the relevance score and it decides how effectively your ad is displayed in front of more and more customers. if your ad is less relevant to user needs or they don't just like your ad, the relevance score will be less. A machine is responsible for deciding the relevance score of your ad and it has nothing to do with any creative and strategic decisions your team has made. What does this mean? Your business may not have to depend solely on humans to develop creative and strategic advertising decisions. You can imagine how AI can reduce the time and costs of advertising by effectively advertising on social media. In essence, it reduces your advertising budget to nearly half with effective email advertising and mobile advertising strategies. To summarise this all, AI is going to change the entire advertising industry including all the elements in advertising processes. It is about to bring infinite opportunities for businesses in terms of precise analytics, content creation, semantic targeting, user experience improvement, and much much more. Conclusion As advertisers want to optimize huge amounts of data to create better ad campaigns and drive more impact, the popularity of Artificial Intelligence continues to increase. Before AI, businesses struggled to measure the effectiveness of their ad campaigns and determine where to allocate the budget. AI-powered advertising affects not only the media spend but also creativity, analytics, and planning. Therefore, the future of advertising with AI is inevitable to target the right audience, offer more personalised experiences, make better decisions faster, and ultimately improve the returns of your investment. The future of advertising will show us how the automation mechanism can dominate the marketing and sales domains, and help companies to save more resources while driving more value to their consumers in the long run. FAQs How Is AI Used in Advertising? Currently, there are a few main use cases of AI in advertising. Marketers and businesses are deploying AI-powered systems across channels and platforms. They include the following: ● Budget optimization and targeting ● Ad creation ● Ad management ● Ad platforms Programmatic advertisements use AI and Machine Learning (ML) to regulate both sales and purchase using real-time factors. It includes almost all the ad exchange, party networks, and even platforms such as Instagram, Facebook, and Snapchat. What Role Will Artificial Intelligence Play in The Advertising World? AI is all about developing intelligent machines that can solve questions. As businesses continue to add newer customer touchpoints, the amount of data they are collecting from their consumers is going to be unimaginably huge in the future. Managing this amount of data is not humanly possible. And that’s where AI comes into play. How Does AI Affect Marketing? AI is certainly reshaping customer-facing services for businesses, advertisers, and marketers. It does so by improving efficiency and optimizing user experience. By reducing the resources, AI is eventually causing improved ROI and affecting businesses in terms of every aspect such as ad creations, ad management, advertising budgets, planning, implementations, and whatnot. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How Is AI Used in Advertising?", "acceptedAnswer": { "@type": "Answer", "text": "Currently, there are a few main use cases of AI in advertising. Marketers and businesses are deploying AI-powered systems across channels and platforms. They include the following: Budget optimization and targeting Ad creation Ad management Ad platforms Programmatic advertisements use AI and Machine Learning (ML) to regulate both sales and purchase using real-time factors. It includes almost all the ad exchange, party networks, and even platforms such as Instagram, Facebook, and Snapchat." } },{ "@type": "Question", "name": "What Role Will Artificial Intelligence Play in The Advertising World?", "acceptedAnswer": { "@type": "Answer", "text": "AI is all about developing intelligent machines that can solve questions. As businesses continue to add newer customer touchpoints, the amount of data they are collecting from their consumers is going to be unimaginably huge in the future. Managing this amount of data is not humanly possible. And that’s where AI comes into play." } },{ "@type": "Question", "name": "How Does AI Affect Marketing?", "acceptedAnswer": { "@type": "Answer", "text": "AI is certainly reshaping customer-facing services for businesses, advertisers, and marketers. It does so by improving efficiency and optimizing user experience. By reducing the resources, AI is eventually causing improved ROI and affecting businesses in terms of every aspect such as ad creations, ad management, advertising budgets, planning, implementations, and what not." } }] }

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How to Mitigate Robotic Process Automation Implementation with Low-code Development

Article | July 14, 2021

Ease in doing business.” That is what every C-level execs strive to achieve in their business process and it is no secret that they’ve increasingly turned to Robotic Process Automation (RPA) to streamline enterprise operations. The first digital computers were invented mostly to calculate tasks but as the technology progressed, we learnt to program hand-code automation through bespoke applications. What brought the RPA into existence was the slow and laborious hand-code automation. But, as we no longer need to keep our fingers glued to systems to enter data fields and value, there exists some brittleness to the robotic process automation. Table of Contents: - What is Robotic Process Automation? - What ails Robotic Process Automation? - What is Low-Code Development? - Why to program in a Low-Code Development environment? - How does Low-code development help in mitigating RPA implementation? - Concluding Thoughts What is Robotic Process Automation? Deloitte defines RPA as software that “automates repetitive, rules-based processes usually performed by people sitting in front of computers.” Picture your mouse automatically scanning your email for 70 new unread invoices, adding the data to a spreadsheet, and inputting information into your CRM, while sending two outliers to an employee for manual review – all within a fraction of the time it would take a person to do the same tasks and with far fewer errors. RPA workflows are established on logic-based inputs and tasks across applications for the bot to efficiently carry out manual, repetitive tasks with greater accuracy. Additionally, by separating the uniquely human skills like critical thinking, empathy, and decision making from the manual, repetitive tasks, corporations can provide a more fulfilling and rewarding career for their employees. Sounds great, right? Of course, it does. That’s why it’s the fastest-growing market in enterprise software, with 48% of companies saying they are planning to invest in RPA and is projected to be worth nearly USD 4B by 2025. Corporations across industries are buying in to streamline a wide variety of operational tasks, connect legacy systems, and drastically remove errors introduced by humans. Operations that can benefit from RPA technology include: Generic office tasks – gathering quarterly cross-department data into an excel sheet, automating CRM inputs, and inventory management. Back office processes – instead of five people checking for new orders and applying discounts, the tasks are reorganized so the employee is providing a human-level of validation to the order. Manufacturing – order fulfillment, purchase order processing, and transportation and inventory management. Retail – product categorization, automated checkout, and delivery tracking. Customer service – credit checks, account number assignment, and activation tasks can be allocated to bots and employees can speak to a customer and apply empathy and discernment to the situation at hand. What ails Robotic Process Automation? The raised fostering of RPA highlights the advantages of the modern technology, however the trip of automation is not without some bumps in advance. Presently, a bulk of RPA options deal with a typical weak point– a small adjustment to information layouts, service procedures, or application user interface can lead the whole software program to damage down. By style, RPA is durable software program however that likewise shows its frailty in adjustments. If anything changes, that can break the automation. - Jason Bloomberg, Leading IT market expert For instance, Bloomberg discussed, if an interface component like a switch relocates or transforms dimension, the automation may damage. Or probably the information style adjustments due to the fact that a person included a brand new area. “In other cases, the business requirement for the process logic changes, requiring a rework of the bot.” RPA functions best with older and also tradition applications powered by regular procedures that go through little adjustment and also secure information layouts. For companies looking to take advantage of the modern technology, the brittleness of RPA might lead to tightening alternatives and also applications in companies. Financial establishments, as an example, are typically wed to tradition systems and also applications, for which RPA is well matched to aid take care of. However, in a vibrant electronic age– which calls for service dexterity– RPA’s absence of versatility when incorporated can be restricting. What is Low-Code Development? Low-code software development could be compared to a car manufacturing assembly line. Both processes automate difficult and time-consuming tasks, in order to increase delivery speed and free up people to focus on high-level tasks. In technical terms, low-code is a set of tools that developers can use to build applications inside a drag-and-drop visual interface – including complete UI, integrations, data management, and logic. READ MORE: DISPELLING FIVE MYTHS OF LOW-CODE APP DEVELOPMENT Why to program in a Low-Code Development environment? In a quote to address the brittleness of RPA, the arising idea of low-code reveals appealing possibility. Its ability to faster way and also separate software program parts streamlines the design procedure. For RPA software program that calls for an upgrade, low-code offers the all set-to- code design to convenience the restructuring of systems. Low-code simplifies the work of developers, whether they be building applications or constructing bots. But even more importantly, low-code empowers developers and business stakeholders to work together more effectively to manage change in the behavior of the software. - Jason Bloomberg, Leading IT market expert In significance, low-code opens brand-new opportunities for designers to focus on establishing special software program systems that are matched for particular companies. READ MORE: BENEFITS OF LOW CODE DEVELOPMENT WITH REUSABLE COMPONENTS How does Low-code development help in mitigating RPA implementation? Here’s where low-code development can save the day. Low-code platforms enable cross-functional teams of professional developers, citizen developers, and functional staff to easily collaborate and connect multiple applications for end-to-end solutions. Because the platforms are built on open standards and are cloud-native, they can easily connect internal legacy and third-party applications in a bot-friendly interface and quickly establish bot workflows that model the real business processes. Enterprise RPA initiatives can get off the ground in a fraction of the time without bringing on additional staff and infrastructure. What does low-code and RPA implementation success look like in real life? Just ask Avertra and 2 Sisters Food Group. Avertra provides technology and consulting solutions for telecom and utility companies, including a modular digital customer experience framework built with the Mendix ecosystem and integrated via API with enterprise solutions like ERP systems, work management applications, and external data sources. Alongside their clients, Avertra establishes which processes to automate, builds user stories, and deploys bots which then follow workflows, transfer data between systems, select appropriate resolution paths, and follow through with documentation and compliance – all within a fraction of the time it takes an individual agent. Meanwhile, UK poultry supplier 2 Sisters used low-code to implement RPA across 11 accounting transactional processes, moving from 100% manual work to 97% automated within six weeks. They used Mendix to build a data-structuring application that extracts, parses and cleans the data. 2 Sisters was able to reduce their customer invoice verification process from 65% of invoices needing manual data verification to only 8%. Manual data entry was nearly eliminated, save for a few outliers identified by the bots, and employees have more time to analyze the data and costs. Low-code enables both technical and non-technical users to play an active role in implementing and maintaining RPA initiatives, taking the burden off of the IT team, operating securely within their infrastructure and parameters, and reducing the need for additional developers. Avertra empowered their client’s citizen developers to make workflow iterations in the Mendix platform based on data results and their internal business knowledge. With the assistance of Mendix partner AuraQ, 2 Sisters built 300 unique customer remittance templates in 3 months and over 3,000 have been created to date (and they’re still going). The beauty of low-code platforms is that applications can be easily adjusted as the business evolves, RPA technology improves, and new automation opportunities are identified, enabling companies to be more agile and competitive. Avertra’s clients have used data insights to produce new and revised resolution paths addressing outlying issues not caught by the RPA framework and 2 Sisters is now analyzing their data to identify their next digital transformation target. Their investments in RPA implementation and low-code development have quickly paid off and will continue to return dividends in the months and years to come. Concluding Thoughts: Low-Code Development is the simpler way to adjust and improve RPA as per the business demands. With the entry of IoT powered by high-speed 5G, low-code programing is touted to be the tool to speedy up RPA innovations. AI has become the most important trend in the low-code RPA market thus making implementation of RPA with low-code quick and agile. READ MORE: THREE SMART WAYS TO USE LOW-CODE DEVELOPMENT PLATFORMS

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Spotlight

SCALABLE Network Technologies

SCALABLE Network Technologies is the leading provider of live/virtual/constructive communications/networking modeling and simulation tools across all domains (undersea-to-space). We deliver virtualization technology for development, analysis, evaluation, and training to military, governmental, commercial, and academic institutions. Our high fidelity, real-time simulation platform incorporates physics-based models of military and commercial satellite, tactical, acoustic and optical networks along with emulation interfaces for live/virtual/constructive integration.

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