Ready-to-Connect solutions from Sierra Wireless get your IoT project to ROI faster

| January 30, 2018

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The Sierra Wireless Ready-to-Connect bundle offer includes cellular modules and routers pre-connected to global mobile networks with IoT services for operating a fleet of widely distributed connected products. By integrating hardware, IoT and connectivity services in one offering, a service that has been traditionally delivered by multiple vendors, customers can simplify IoT solution development and get to market faster with enhanced security.

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AhnLab, Inc

Founded in 1995, AhnLab, Inc., the global cybersecurity company, delivers comprehensive protection for endpoints, networks, transactions, and essential services. AhnLab delivers best-of-breed threat prevention that scales easily for high-speed networks by combining cloud analysis with endpoint and server resources. AhnLab's multidimensional approach combines with exceptional service to create truly global protection against attacks that evade traditional security defenses.

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MACHINE LEARNING

Machine Learning is Bringing Us the Future…NOW

Article | December 21, 2020

Machine learning — a branch of artificial intelligence that gives computer systems the ability to automatically improve and learn from experience — has been making serious waves for the last few years. More recently, though, the applications for smartphones and other small screen experiences have started to take shape, driving the way millions interact with their mobile devices. Yes, Your Mobile Devices are Becoming Smarter So what do these innovations means for your business? Machine learning can, essentially, make your smartphone “smarter” by improving a host of functions and processes instantly. In fact, most smartphones are already using some type of machine learning or intelligent automation application that aids mobile devices in becoming more efficient and effective. Predictive text messaging, for example, is one such application that’s already become part of the mobile vernacular — chances are, you use it daily without thinking twice. As a whole, businesses are ramping up their machine learning investment, meaning we’ll be seeing more of this technology — and more accessible versions of this technology — in the coming months and years. For each generation, there’s an added level of intuitiveness when it comes to mobile technology — your current smartphone is smarter than the computers that helped bring man to the moon, in many ways. From that end, how advanced will our mobile devices be in another 10 or 20 years? Smartphones could be paving the way for Robotic Process Automation (RPA) and evolving the very way many industries work. What’s Next for Mobile Machine Learning Historically, machine learning requires a tremendous amount of power — power mobile devices simply didn’t have. However, businesses can now install special chips in drones, automobiles and smartphones enabling them to consume 90 percent less power. As a result, mobile devices — even without an internet connection — can perform a variety of once-complex tasks, including: Voice Recognition Language Translation Virtual / Augmented Reality Smarter Camera Functionalities Improved Device Security Going forward, envelope-pushers are driving towards even bigger, better, more sophisticated applications — think motion control and navigation, diagnosing and analyzing sensory data and more. Interactivity or perceptual interfaces are also capabilities that the new applications are expected to be equipped with, giving mobile devices seemingly endless capabilities. Due to these unique benefits, machine learning on small devices is clearly becoming a priority for businesses.

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The Future of Digital Advertising: AI & Advertising

Article | December 21, 2020

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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MAKING ARTIFICIAL INTELLIGENCE SMARTER LIKE HUMAN BRAIN

Article | December 21, 2020

The latest advancements in Artificial Intelligence have been much tremendous and inspiring. It has become a part of everyday life for almost all consumers. In a large range of domains, the technology has transformed the way humans work and live. From smart home devices like Alexa, Siri, among others to large scale data security and fraud detection, all are inspired by and relied on AI. Despite this, there is still a large gap between current AI systems and human-like intelligence. Over time, the human brain has developed and advanced in order to respond to survival instincts, harness intellectual curiosity, and achieve demands of nature. While the human brain finds innovative ways to exceed its physical capabilities, human scientific pursuit amplified by the amalgamation of mathematics, algorithms, computational methods, and statistical models.

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AI TECH

Is investing in AI the highest ROI opportunity?

Article | December 21, 2020

This article explores why AI is the highest ROI opportunity. How revolutionary the technology is as Artificial Intelligence (AI) progresses with each passing day, its implementations are massive and almost every magazine and report has covered it. However, explaining its particular facets and how AI and its subsets of Machine Learning and Deep Learning can transform the way we view life has become imperative. Both businesses are or will be implementing AI in one way or another, the future of the corporate world. Investing in the right AI will deliver a really high ROI if you know what you’re doing. Entrepreneurs have nothing to do without their senses and the need for testing. Fortunately, the early stage of AI presents financial investors with a more advanced and profitable strategy and provides valuable strategic perspectives when building a new company. And small companies now generate reliable data from basic market fluctuations in stock to corporate announcements, and this is just the beginning. It is very difficult to select the important one when transmitting data. What do you intend to invest as a long-term investor? Any finance analysts have worked out how to deal with crucial data over time. At that point, they have stable tools that complement their portfolio of investments. AI can assess how early-stage start-ups perform for investors and capture the start-up opportunity for success by forecasting sales growth, market size, business expertise over all variables. It will evaluate the details in order to see if the statistics will actually make improvements. This means that investment-worthy startups can afford to start raising funds. Most investors use AI to make important investment choices. By integrating algorithms, data mining, and language processing, AI can create relationships and models to render proposals based on investor bends. As AI continuously absorbs new data, it will grow as it analyses new information and eventually becomes reliable and far-reaching. MotherBrain, the Machine Learning system developed by EQT Ventures to classify potential start-ups, applies its algorithm to historical data so as to potentially distinguish investment applicants. The platform uses details such as financial statistics, site rankings, device placement, and social media features that most businesses can physically test and evaluate. Surprisingly, if the invention of Motherbrain has already been accessed as it comes to seed and angel finance for businesses. Small investors, including angel investors, can also leverage the expertise and services accessible exclusively to historically significant firms. Another real downside for venture capitalists and angel investors is seeking pleasant investment targets before. This is a consistently strong and travel-intensive challenge. However, Machine Learning and Predictive Analytics are starting to shift the strategy. For other users, there are goods, such as Allegro, an intellectual algorithmic investment focused on AI that is absolutely free from human prejudice. This is a great investing product, but when the market is low on the promise, turn to an equity fund and a debt fund when the market is strong, meaning that the investments are safe. Indeed, finance managers who are compliant with the implications of the industry are often in a tough position where erroneous data exist or where market flaws occur. These defects may be rumors, financial theft, or innocent relationship slip-ups. Owing to the fact that financial markets are in touch with a constant flow of data, the vulnerability or interruption in the flow appears to be worse than the bad news. So, what is restricting the implementation of AI in conventional businesses following the pattern of hedge funds? The most important problems arise from massive financial and human capital investment. Probably the most commonly known inhibitor is the scarcity of available talent pools. As another field, there is a pool of detainees with expertise and experience in the field. The same happens to data scientists and AI practitioners, who usually expect a summary of observations into critical company behavior and goals. Pesa reports that more than 10,000 AI vacancies are available in the United States alone. Apart from a lack of expertise, investment companies need to respond to the priorities and desires of this unique pool of potential that binds the world of academics, academics, and Ph.D. students. Many of these people do not partake in conventional investing jobs and are motivated by capital and financial security. This talent pool is very common and involves their preference. Instead, investment firms need to build a situation where talent demands are fulfilled, placing a high premium on having a positive impression, taking a shot, and seeking game-changing growth. When it comes to worrying about money, investors are still trusting in the person behind the idea. This leaves a lot of space for personal inclination and emotional misconduct. Emotional investment is at stake. AI is balancing this out. AI helps investors to rely more easily on research and statistics. We can not empty our current senses, however, we can use AI to circumvent our existence. Conclusion The growth estimated for AI is huge and shows that it will rise by billions in the coming years. AI may be much larger, analysts say that this sector would rise 30 percent annually. AI has tremendous potential because it can go from engineering to tech in any field and can affect everything in between. Applications of AI are massive and it would not be possible to show only a few facets of it. But if you are an entrepreneur and you have a particular interest in getting to know the industry, then you can look at and evaluate it properly. Opportunities are massive, and technology is just going to grow because the world economies have been struck by a pandemic, one area that has exploded is technology.

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Spotlight

AhnLab, Inc

Founded in 1995, AhnLab, Inc., the global cybersecurity company, delivers comprehensive protection for endpoints, networks, transactions, and essential services. AhnLab delivers best-of-breed threat prevention that scales easily for high-speed networks by combining cloud analysis with endpoint and server resources. AhnLab's multidimensional approach combines with exceptional service to create truly global protection against attacks that evade traditional security defenses.

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