How IoT Developers Can Use AI at the Edge to Improve Insights, Security & Manageability

| February 4, 2020

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Hear Robyn Dunn, Principal Product Management Lead at Microsoft, delve into how AI is used to generate insights from data. By automating data and removing ROI out of solutions, the Microsoft AI@Edge community is helping partners reduce cost and complexity when bringing solutions to market. She also shares insights on how AI at the edge helps address security and manageability issues that can be major concerns for IoT developers.

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TransOrg Analytics

TransOrg is a niche player in ‘Analytics and Advisory’ space. TransOrg Analytics has created a scalable and cost effective integration of ‘Big Data’ and ‘Predictive Analytics. We provide fast, flexible, need-based and affordable solutions to help clients realize both short-term tactical and long-term strategic value. Our expertise lies in assimilating structured, unstructured, social media and text data to create real time 360-degree customer’s view.

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AIoT: The Technology and Its Limitless Possibilities

Article | January 29, 2021

We live in the age of technological advancement and progress is happening at an unprecedented speed. With newer technologies emerging every day, it is unreasonable to not be intrigued by their implications on business. Artificial Intelligence and the Internet of Things are two independent technologies that are changing the face of several industries, one advancement at a time. While Artificial Intelligence promises to automate and simplify everyday tasks for humans, the Internet of Things is rapidly bridging the gap between physical and digital. The convergence of these two technologies promises to simplify lives through connected devices. This convergence has already been witnessed in several industries and is being hailed as the Artificial Intelligence of Things or AIoT. Experts across industries claim that Artificial Intelligence of Things is set to redefine the future of the industry and mold intelligent and connected systems. Applications The Artificial Intelligence of Things is a congruence of AI and IoT infrastructures being used to achieve several applications across industries more accurately and efficiently. We already know that IoT generates scores of data, but this data is pretty useless in its raw form, it the organization, analysis, and interpretation of the data that makes it invaluable. Manually parsing through all of that data can take months given the sheer volume of it. This is where AI comes in. Modern AIs are programmed to efficiently handle large amounts of data to turn them into coherent pieces of information. Together, IoT and AI make for a great technological tool for business. Take a look at some other applications of AIoT in business. Marketing Good marketing comes from a series of well informed and well-researched decisions. For example, deciding on where the budget is allotted, what market strategy is put into action, or which campaign is prioritized. While human decisions can be fallible, most businesses today cannot afford to make big mistakes. This is where AIoT turns into a big help. Through the Artificial Internet of Things, marketers can get reports about market trends, probabilities, customer behavior, and more, most of these in real-time. These reports help marketers make informed decisions that are much likely to result in success. Drones Drones are one of the biggest advancements of IoT technology. In fact, drones are so popular with such varied applications, that drones can be talked of as a separate technology in themselves. These flying machines were originally invented for military purposes such as surveillance or weapon deployment but markets have rapidly found utility in drones for many other purposes. Today, they are being used as delivery bots, nature conservation, surveillance mechanisms, research tools, safety equipment, field substitutes, agriculture, geo-mapping, and a lot more. With AIoT, drones have become smarter, more adaptable, and way more useful. As Artificial intelligence allows drones to make minor decisions, their applications have gotten wider and more sophisticated. In a brilliant use case of AIoT, a drone enthusiast named Peter Kohler has started the Plastic Tide Project which uses drones to locate plastic on the ocean surfaces. The drones are powered by AI which allows them to locate plastic and not other elements like marine life or corals. These drones then hover over the plastic waste and speed up the ocean cleaning process. Drones can be used to map farmlands, determine the optimum farming processes and schedules, count the cattle, monitor their health, and even undergo certain physical tasks in agriculture, all thanks to the Artificial Intelligence of Things. AR/VR Augmented Reality and Virtual Reality are both heavily data-dependent technologies. There cannot be a convincing virtual reality unless there is data available for creating the said simulation. AR and VR have both found applications in several industries like healthcare, gaming, training, education, design, and manufacturing. Most of these applications fall in the critically important category and therefore, the AR or VR must be accurate to the minutest detail. This can only be achieved with mounds of data from the actual reality. With the help of IoT, this data is not accessible, and AI interprets it in a way that it can be turned into several different formats. Infrastructure One of the most useful applications of AIoT has been infrastructure. Artificial Intelligence of Things has fuelled innovation and planning for smart cities across the world. With the open data available for urban planning, cities are now becoming safer and more convenient to live in. AIoT has also made it possible to optimize energy consumption and ensure safer roadways through traffic surveillance. With smart energy grids, smart streetlights, and smart public transport, energy consumption and carbon emissions are both controlled. Moreover, AIoT has given a whole new life to urban design, and now comfort and aesthetics do not have to be sacrificed for convenience. Energy As we discussed above, Artificial Intelligence of Things is instrumental in optimizing energy consumption in urban areas. However, the applications of AIoT in the energy sector are not limited to smart cities. Many utilities providers across the globe are already gearing up to incorporate AIoT in their process. The expected benefits from the Artificial Intelligence of Things range from improved grid management, power quality, reliability, and restoration resilience to enhanced cybersecurity and better integration of distributed energy. Most utilities providers have still not adopted the new technology but with the increasing complexity of grid management and higher customer experience demands, there is no denying that they will have to deploy AIoT solutions to tackle these. Robotics In layman’s experience robots are either extremely sophisticated machines from sci-fi that undertake every task humans can and more, or they are these clunky things that can pass you the butter. In practice, however, robotics is a lot more practical than these ideas. Today, robotics is at the forefront of AIoT applications. The Artificial Intelligence of Things is being used in robotics for several applications such as surgical procedures, manufacturing, and even first aid. In healthcare specifically, AIoT powered robots are taking huge leaps. Robotic surgery eliminates the chance of human error and offers a much more precise surgical experience with minimum invasion. This enhances the success rate of surgery and aids faster recovery in patients. Logistics The convergence of AI and IoT has made a huge impact on logistics as it is now possible to automate the entire process, track the goods, as well as monitor the entire trajectory from deployment to delivery. With the addition of drones and robotics, even the last mile delivery can be automated with zero human intervention. This makes for faster delivery, better customer experience, as well as a well-designed supply chain management system. Industrial As the concept of adding smart sensors to physical objects emerged in the 1980s, a new term was coined a decade later—Industrial Internet of Things. IIoT is now a huge phenomenon of automating and optimizing industrial operation technologies across the globe. As IIoT is deployed in several factions of the industry including manufacturing, supply chain management, human resources, and energy management, these devices and sensors generate a massive amount of data daily. The data generated from even a single process can be dizzying, and this is where AI makes a difference. AI can not only manage this data but also find the relevant points of data and analyze it for business purposes. Edge Computing Artificial Intelligence has given way for another technology i.e. Edge computing. Edge computing allows a device to process data itself rather than rely on remote data servers to do so. It may seem like a small feat but think of the possibilities it offers—drones don’t have to be connected to find their way, smart appliances can interact with each other without a shared network, and thermostats can change the temperature based on your past preferences automatically. Edge computing is by no way a new technology but, in the future, it offers huge possibilities like smart automobiles and aircraft, or even robots in every home. Frequently Asked Questions What are the examples of Artificial Intelligence? Some of the most common examples of Artificial Intelligence are Google Maps and Uber. The AI allows you to find routes to any destination and even hail rides there. How does AI help IoT? Artificial Intelligence can comb through millions of data points in seconds to come up with patterns and analyze them. As IoT generates a lot of data continuously, AI is a powerful and complementary technology that helps IoT. Is IoT related to Artificial Intelligence? Internet of Things and Artificial Intelligence are two separate technologies that interact with each other well as their functions aid each other progress. AI helps with the data generated by IoT, and IoT provides relevant data for AI to analyze. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the examples of Artificial Intelligence?", "acceptedAnswer": { "@type": "Answer", "text": "Some of the most common examples of Artificial Intelligence are GoogleMaps and Uber. The AI allows you to find routes to any destination and even hail rides there." } },{ "@type": "Question", "name": "How does AI help IoT?", "acceptedAnswer": { "@type": "Answer", "text": "Artificial Intelligence can comb through millions of data points in seconds to come up with patterns and analyze them. 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Internet of Things (IoT): The Need for Vendors to Address Security

Article | January 29, 2021

By the end of this year there will be 5.8 billion Internet of Things (IoT) endpoints, according to Gartner. And depending on how IoT devices are counted the number is even higher. Statista, for example, estimates the device count for 2020 to be more than 30 billion. Security remains a big challenge for IoT as a strategy to be successful. IoT devices are still not being designed with security as a top priority.Mary O’Neill, VP of security at Nokia, noted in a press conference at MWC Los Angeles 2019 and reported by SDXCentral, that “if an IoT device today is plugged into the network and it doesn’t have protection on it, it’s infected in three minutes or less.”Jake Williams, founder of the security firm Rendition Infosec, said that “IoT vendors emphasize, often rightly, that their products improve quality of life, but they often neglect to disclose the risk of these devices to consumers. The onus of understanding how an IoT device might impact security should not be purely on the consumer. The vendor shares this responsibility.

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Nokia adds 5G to worldwide IoT network, lets carriers test new sensors

Article | January 29, 2021

Nokia may be best known for cellular phones, but in recent years the Finnish company has focused on networking hardware — the radios and infrastructure that connect cellular devices to the internet. Today, Nokia announced that it’s augmenting its Worldwide Internet of Things Network Grid (WING) with new 5G capabilities, enabling cellular carriers to offer global-scale 5G IoT services to customers without building out their own networks. While that’s a lot of jargon to absorb at once, the gist is that carriers like AT&T and Verizon want to offer business customers the ability to connect small IoT sensors to the internet but don’t necessarily want to spend the money to build the cellular infrastructure the sensors need to communicate. So Nokia offers WING as a global IoT infrastructure, partnering with carriers to sell access on a pay-as-you-go basis.

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5 IoT Trends for Marketers to Watch in 2021

Article | January 29, 2021

The COVID-19 pandemic turned the tides towards remote work and virtual connectivity. And even though growth seemed to have slowed down in 2020, experts see double-digit growth in the next few years. The tides may be turning but virtual connectivity and the tools required for remote growth are not slowing down in demand. As the tech world adapts to new shifts, IoT is among one of the most anticipated technologies to prosper in 2021. Digital transformation has rapidly accelerated in the past year and if the experts are to be believed, 2021 shows promise for an even better year for technological advancement. According to IDC’s 2020-2024 forecast, spending will reach an annual growth rate of 11.3 percent. And with this, the number of connected devices is likely to grow up. Take a look at what will be the focus of IoT industry trends in 2021. Privacy & Security As smart homes are becoming the norm and you cannot throw a stone without hitting a smart device, one thing is clear—IoT devices are everywhere. People almost always forget smartphones when talking about IoT devices, but the fact is that smartphones are very much a part of the IoT ecosystem. And with the infusion of IoT in our everyday lives, questions about privacy and security are cropping up. Just recently, as WhatsApp announced its new privacy policy, millions of users planned to migrate to other alternatives. This led to WhatsApp pushing back its privacy update and tech businesses taking note of changing winds. In 2021, privacy and security will be at the forefront of IoT industry trends, as devices infuse further into the everyday lives of people. According to recent research, 90 percent of consumers lack confidence in IoT device security. And the onus of bolstering consumer confidence will be up to IoT businesses. Workforce Management According to Gartner’s “Top Strategic Technology Trends For 2021” report, IoT will be a large part of the office experience in 2021. As businesses are trying to avoid the losses that occurred in early 2020, workplaces are being geared up with RFID tags, sensors, and monitors to ensure social distancing measures, whether employees are wearing masks and overall health monitoring. Additionally, many organizations have decided to move permanently to a remote mode and will rely more on IoT devices for connectivity. So we can expect better automated scheduling and calendar tools, more interactive video conferencing, and virtual meeting technology. In the case of fieldwork, IoT will offer an added factor of monitoring behavior. Greener IoT Experts predict that energy will be a crucial factor in the IoT industry trends in 2021. With smart grids, metering, and restoration resilience being powered by IoT, 2021 will move towards optimized energy consumption and devices that are designed to encourage energy-friendly practices. What’s more? Smart engines and automobiles can be optimized to reduce their carbon footprint and become energy-friendly. As evidenced by the Paris summit and the wildfires in 2020, the world is becoming ecologically conscious. IoT devices in 2021 will focus heavily on reduced emissions, lowering air and ocean pollution, and minimizing power expenditure. Location Data As COVID-19 limited human interaction, location-based services soared during the pandemic. Businesses started leveraging location data to offer curbside pickup, virtual queues, and check-ins for reservations to enhance the customer experience during the pandemic. According to experts, the use of location data will continue to be crucial for customer service and convenience in 2021. As people prefer being safe even as the vaccines are being delivered, location data will allow businesses to cater to their customers without compromising on customer or employee safety. Digital twins IoT is being helmed as the perfect technology partner for creating digital twins in many industries. As IoT collects a large amount of data through physical devices, this data can be reinterpreted to create the perfect digital twins. Also, IoT can offer visibility into the full product life cycle and unfold deeper operational intelligence. Companies like Siemens are already leveraging technologies like AIoT to design and create digital twins for product design and production. Coupled with AI, IoT will be used more commonly for creating digital twins in 2021. A technology as dynamic as IoT can be leveraged for almost any application. Therefore, it may surprise us all in the way it progresses in 2021. However, experts believe that the above 5 IoT industry trends will rule 2021 for sure. Frequently Asked Questions What are the latest IoT industry trends? The use of IoT in Healthcare, Artificial Intelligence, workforce management, and ecological conservation can be deemed as some of the latest trends in IoT. What is the future scope of IoT? As experts believe there will be over 85 billion connected devices by the end of 2021, and the numbers are promising for upcoming years, we can safely say that the future of IoT is indeed bright. What industries are most likely to use the Internet of things technology? IoT is a dynamic technology with applications in almost every industry. However, industries like healthcare, construction, manufacturing, tech, and resource management are most like to use IoT right now. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the latest IoT industry trends?", "acceptedAnswer": { "@type": "Answer", "text": "The use of IoT in Healthcare, Artificial Intelligence, workforce management, and ecological conservation can be deemed as some of the latest trends in IoT." } },{ "@type": "Question", "name": "What is the future scope of IoT?", "acceptedAnswer": { "@type": "Answer", "text": "As experts believe there will be over 85 billion connected devices by the end of 2021, and the numbers are promising for upcoming years, we can safely say that the future of IoT is indeed bright." } },{ "@type": "Question", "name": "What industries are most likely to use the Internet of things technology?", "acceptedAnswer": { "@type": "Answer", "text": "IoT is a dynamic technology with applications in almost every industry. However, industries like healthcare, construction, manufacturing, tech, and resource management are most like to use IoT right now." } }] }

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Spotlight

TransOrg Analytics

TransOrg is a niche player in ‘Analytics and Advisory’ space. TransOrg Analytics has created a scalable and cost effective integration of ‘Big Data’ and ‘Predictive Analytics. We provide fast, flexible, need-based and affordable solutions to help clients realize both short-term tactical and long-term strategic value. Our expertise lies in assimilating structured, unstructured, social media and text data to create real time 360-degree customer’s view.

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