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Enterprise systems to monetize and bill for new IoT services

Enterprises adopt IoT solutions for two primary reasons. First, they want to lower their companies’ operating and capital costs. These types of IoT solutions including factory automation, remote asset monitoring, fleet management, and smart metering help enterprises improve their bottom lines by focusing on all sorts of cost reduction. Second, enterprises want to add IoT to the products they sell to their customers. This allows enterprises to bundle new connectivity-based services with their core products, thereby increasing revenue and differentiating their offerings. Examples of these types of IoT solutions include in-vehicle infotainment, connected welding equipment, connected commercial-grade power tools, and many more. But in order for enterprises to make money from new connectivity-based services, they need a way to capture data from and bill their customers for these new services. It doesn’t sound difficult; however, the devil is in the IoT details.

Spotlight

CISCO

Cisco Systems, Inc. is an American multinational technology company headquartered in San Jose, California, that designs, manufactures and sells networking equipment. The stock was added to the Dow Jones Industrial Average on June 8, 2009, and is also included in the S&P 500 Index, the Russell 1000 Index, NASDAQ-100 Index and the Russell 1000 Growth Stock Index.

OTHER ARTICLES
Enterprise Iot

5 Things to Know About the IoT Platforms Market

Article | May 11, 2023

5 years ago, when we forecasted that the IoT platforms market would have a 5-year compound annual growth rate (CAGR) of 35%, we wondered if our growth projection was unrealistically high. 5 years later, it has become apparent that the forecast was actually too low. The IoT Platforms market between 2015 and 2020 grew to be $800 million larger than we forecasted back in early 2016, resulting in a staggering 48% CAGR. Comparing what we “knew” back in 2016 to what we know today provides some clues as to why the market exceeded expectations so much. 5 years ago, no one really knew what an IoT platform was, let alone how big the market would be, which business models would work, how architectures would evolve, and which companies/industries would adopt them. The only thing that was “known” was that the IoT platforms market was a billion dollar “blue ocean” opportunity ready to be captured by innovative companies.

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IoT Security

AIoT: The Technology and Its Limitless Possibilities

Article | July 5, 2023

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. As IoT generates a lot of data continuously, AI is a powerful and complementary technology that helps IoT." } },{ "@type": "Question", "name": "Is IoT related to Artificial Intelligence?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }] }

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Industrial IoT, IoT Security

Unlocking the IoT Potential with AI

Article | July 12, 2023

Artificial intelligence is becoming increasingly crucial in IoT applications and deployments. Over the past two years, investments and acquisitions in firms that combine AI and IoT have increased. IoT platform software from top suppliers now includes integrated AI features, including machine learning-based analytics. When artificial intelligence is linked with the internet of things, we get Artificial Intelligence of Things (AIoT). The prime motive for combining AI and IoT is that, while IoT devices are used to gather data and send it to a cloud or other location where it can be stored using the internet, AI, which is regarded as the brain of AIoT, is what actually aids in decision-making and simulates how machines would act or react. Other artificial intelligence (AI) tools, such as speech recognition and computer vision, can assist reveal patterns in data that previously needed human evaluation. AI applications for IoT-enabled companies help them avoid several issues: Preventing expensive unplanned downtime Predictive maintenance can lessen the adverse economic effects of unplanned downtime by employing analytics to anticipate equipment failure and arrange orderly maintenance processes. In order to predict equipment failure, machine learning enables the discovery of patterns in the continuous streams of data produced by today's technology. Operational efficiency advancement IoT with AI capabilities can also increase operational effectiveness. By processing continuous data streams to find patterns invisible to the human eye and not visible on simple gauges, machine learning can predict operating conditions and identify parameters that need to be adjusted immediately to maintain ideal results, just as it can predict equipment failure. Improved risk management IoT and AI-powered applications enable businesses to automate for quick reaction, better analyze and predict a range of hazards, and control worker safety, financial loss, and cyber threats. Finding an IoT system that does not incorporate AI could soon be uncommon. With the help of AI, organizations can truly enhance the potential IoT and effectively put it into use for improving the overall functioning.

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Enterprise Iot

IoT Aids the Growing Wearable Technology

Article | June 28, 2022

Nothing is more innovative or sophisticated than the products being made by the wearables industry in the "smart" era. Individuals track, analyze, monitor, and transmit personal data using these tangible wearable gadgets. Moreover, the adaptable wearable technology is opening up new horizons with business-focused smartphone apps. However, it is still in its early stages, and according to recent developments in this field, the major players in wearable technology are concentrating on developing products with a focus on business applications. These intelligent Internet of Things (IoT) devices are now widely employed in a variety of businesses and help detect biometric data such as heart rate and sleep habits, among others. In the coming ten years, wearable IoT technology or devices ought to become an integral part of every individual’s daily life. Businesses around the world are incorporating the newest technologies into their functioning and are looking at digitally altering their impact in the market. With the majority of people already accustomed to using smartphones, they are now also getting familiar with utilizing wearable technology, such as smartwatches, jewelry, and fitness bands. Therefore, the demand for applications is increasing along with technology as we become more technologically adept. Rising Wearable Industries Health and Fitness Wearables The health, fitness, and fashion industries are closely related to any wearable technology or device. People are now frequently using smartwatches to monitor their heart rate and the number of steps they take when walking or running, which has boosted the industries with this technology. IoT devices include medical sensors to track progress in terms of health. It is possible to determine how healthy a person's lifestyle is by gathering accurate health statistics from these devices. Additionally, it monitors sleeping patterns, enhancing your overall quest for wellness. Gaming Wearables Gaming is a significant new market for wearable technology and one which is booming. The most prevalent category of wearables in the market is virtual reality (VR) headsets. With VR devices like the Oculus Rift or Playstation VR, players are immediately immersed in otherworldly experiences. Several kinds of breathtaking experiences are now accessible to players everywhere, thanks to VR wearables. Connected Cars Automobiles are steadily gaining traction among IoT devices, but they are still a small market (just 0.05 percent of all connected devices are cars), and Ford and Tesla are vying for the top spot. Ford has dominated the connected car market, with Subaru being the only other manufacturer to see any appreciable growth in new connections since July 2020. In contrast, other producers are fighting for a sizable market share as the potential to grow this segment is highly exponential. Conclusion Today, wearable technology is planned, developed, distributed, and used in a variety of consumer and corporate markets. The ways in which these markets overlap and influence one another are constantly changing. IoT will significantly change how businesses engage with customers, streamline their operations, and contribute to the creation of a system that relies on such data.

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Enterprise Iot

Understanding IoT Data Protocols: Why Do They Matter for IoT Data?

Article | May 11, 2023

5 years ago, when we forecasted that the IoT platforms market would have a 5-year compound annual growth rate (CAGR) of 35%, we wondered if our growth projection was unrealistically high. 5 years later, it has become apparent that the forecast was actually too low. The IoT Platforms market between 2015 and 2020 grew to be $800 million larger than we forecasted back in early 2016, resulting in a staggering 48% CAGR. Comparing what we “knew” back in 2016 to what we know today provides some clues as to why the market exceeded expectations so much. 5 years ago, no one really knew what an IoT platform was, let alone how big the market would be, which business models would work, how architectures would evolve, and which companies/industries would adopt them. The only thing that was “known” was that the IoT platforms market was a billion dollar “blue ocean” opportunity ready to be captured by innovative companies.

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IoT Security

Overcoming IoT Security Challenges for Safe Implementation

Article | July 5, 2023

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. As IoT generates a lot of data continuously, AI is a powerful and complementary technology that helps IoT." } },{ "@type": "Question", "name": "Is IoT related to Artificial Intelligence?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }] }

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Industrial IoT, IoT Security

Key IoT Security Certifications to Boost Your Career in IoT Industry

Article | July 12, 2023

Artificial intelligence is becoming increasingly crucial in IoT applications and deployments. Over the past two years, investments and acquisitions in firms that combine AI and IoT have increased. IoT platform software from top suppliers now includes integrated AI features, including machine learning-based analytics. When artificial intelligence is linked with the internet of things, we get Artificial Intelligence of Things (AIoT). The prime motive for combining AI and IoT is that, while IoT devices are used to gather data and send it to a cloud or other location where it can be stored using the internet, AI, which is regarded as the brain of AIoT, is what actually aids in decision-making and simulates how machines would act or react. Other artificial intelligence (AI) tools, such as speech recognition and computer vision, can assist reveal patterns in data that previously needed human evaluation. AI applications for IoT-enabled companies help them avoid several issues: Preventing expensive unplanned downtime Predictive maintenance can lessen the adverse economic effects of unplanned downtime by employing analytics to anticipate equipment failure and arrange orderly maintenance processes. In order to predict equipment failure, machine learning enables the discovery of patterns in the continuous streams of data produced by today's technology. Operational efficiency advancement IoT with AI capabilities can also increase operational effectiveness. By processing continuous data streams to find patterns invisible to the human eye and not visible on simple gauges, machine learning can predict operating conditions and identify parameters that need to be adjusted immediately to maintain ideal results, just as it can predict equipment failure. Improved risk management IoT and AI-powered applications enable businesses to automate for quick reaction, better analyze and predict a range of hazards, and control worker safety, financial loss, and cyber threats. Finding an IoT system that does not incorporate AI could soon be uncommon. With the help of AI, organizations can truly enhance the potential IoT and effectively put it into use for improving the overall functioning.

Read More
Enterprise Iot

IoT Aids the Growing Wearable Technology

Article | June 28, 2022

Nothing is more innovative or sophisticated than the products being made by the wearables industry in the "smart" era. Individuals track, analyze, monitor, and transmit personal data using these tangible wearable gadgets. Moreover, the adaptable wearable technology is opening up new horizons with business-focused smartphone apps. However, it is still in its early stages, and according to recent developments in this field, the major players in wearable technology are concentrating on developing products with a focus on business applications. These intelligent Internet of Things (IoT) devices are now widely employed in a variety of businesses and help detect biometric data such as heart rate and sleep habits, among others. In the coming ten years, wearable IoT technology or devices ought to become an integral part of every individual’s daily life. Businesses around the world are incorporating the newest technologies into their functioning and are looking at digitally altering their impact in the market. With the majority of people already accustomed to using smartphones, they are now also getting familiar with utilizing wearable technology, such as smartwatches, jewelry, and fitness bands. Therefore, the demand for applications is increasing along with technology as we become more technologically adept. Rising Wearable Industries Health and Fitness Wearables The health, fitness, and fashion industries are closely related to any wearable technology or device. People are now frequently using smartwatches to monitor their heart rate and the number of steps they take when walking or running, which has boosted the industries with this technology. IoT devices include medical sensors to track progress in terms of health. It is possible to determine how healthy a person's lifestyle is by gathering accurate health statistics from these devices. Additionally, it monitors sleeping patterns, enhancing your overall quest for wellness. Gaming Wearables Gaming is a significant new market for wearable technology and one which is booming. The most prevalent category of wearables in the market is virtual reality (VR) headsets. With VR devices like the Oculus Rift or Playstation VR, players are immediately immersed in otherworldly experiences. Several kinds of breathtaking experiences are now accessible to players everywhere, thanks to VR wearables. Connected Cars Automobiles are steadily gaining traction among IoT devices, but they are still a small market (just 0.05 percent of all connected devices are cars), and Ford and Tesla are vying for the top spot. Ford has dominated the connected car market, with Subaru being the only other manufacturer to see any appreciable growth in new connections since July 2020. In contrast, other producers are fighting for a sizable market share as the potential to grow this segment is highly exponential. Conclusion Today, wearable technology is planned, developed, distributed, and used in a variety of consumer and corporate markets. The ways in which these markets overlap and influence one another are constantly changing. IoT will significantly change how businesses engage with customers, streamline their operations, and contribute to the creation of a system that relies on such data.

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Spotlight

CISCO

Cisco Systems, Inc. is an American multinational technology company headquartered in San Jose, California, that designs, manufactures and sells networking equipment. The stock was added to the Dow Jones Industrial Average on June 8, 2009, and is also included in the S&P 500 Index, the Russell 1000 Index, NASDAQ-100 Index and the Russell 1000 Growth Stock Index.

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Software and Tools

Knorr-Bremse is Nexxiot's new client and strategic investor

Nexxiot | June 01, 2022

Nexxiot, the global TradeTech pioneer, welcomed Knorr-Bremse as a new customer and strategic investor. Knorr-Bremse is the global market leader for brake systems and other rail and commercial vehicle systems. Knorr-Bremse and its North American subsidiaries New York Air Brake and Knorr Brake Company will integrate Nexxiot's IoT hardware and software into future rail products and systems, proactively driving digital connectivity into its vast railroad customer base, in a major deal that will shape the future of rail transportation. Knorr-customers Bremse's will benefit from higher vehicle availability, optimized lifetime costs, and greater operational efficiency by linking their rail brakes, doors, HVAC, sanitary, and other systems to Nexxiot's digital environment. The company will also solidify its position as one of the most innovative rail providers, providing clients with appealing new insights and digital services. Knorr-Bremse joins Nexxiot as a strategic minority investor. Existing shareholders and the leading investment management firm QVIDTVM, directed by Burak Alici, have increased their holdings. "As a core element in our strategy, we're using digitalization to leverage our already strong position in safety- and mission-critical rail vehicle systems, and to generate further growth and strong profitability. Together with Nexxiot's dedicated team, we're now pressing ahead with our ambition to add further value for our customers. By combining our systems technology with Nexxiot's digital ecosystem, we're creating a win-win scenario that will boost vehicle availability and lower the total cost of fleet ownership by leveraging a new generation of data-based services," explains Dr. Jürgen Wilder, Member of the Executive Board of Knorr-Bremse AG and responsible for the Rail Vehicle Systems division. "This partnership with Knorr-Bremse, a leading supplier of rail vehicle systems, will help us build the best products and services for the industry. Together, we aim to accelerate the digitalization of key areas like rail freight and automation services. At the same time, we'll also be able to speed up our own expansion in the rail industry and continue our strong growth, Specifically, our sensors and scalable cloud-based platform help turn rolling stock assets into connected, data-generating industrial objects. Leveraging rail data in real-time will be a key success factor in helping make rail and rail services fit for the future." Stefan Kalmund, CEO of Nexxiot The Nexxiot Globehopper LINK gadget, which checks the status of some of the most critical sections of a railcar, such as doors and brakes, and sends the data to the cloud, will be deployed by Knorr-Bremse. Nexxiot uses unique algorithms and Big Data analytics to transform this data into new business information and data-driven services for all stakeholders in the value chain. This Internet of Things technology will enable operators to automate important business processes and get a wealth of new insights, resulting in a significant increase in efficiency, sustainability, customer service, and profitability. Train parts that haven't been monitored in real time are now visible and accessible digitally.

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AWS Announces Snowcone Edge Computing Box for IoT

Amazon | June 20, 2020

Amazon Web Services an Amazon.com company announced AWS Snowcone, a new small, ultra-portable, rugged, and secure edge computing and data transfer device. Millions of customers have applications that rely on AWS for data processing, analytics, storage, IoT, and machine learning capabilities. With support for AWS IoT Greengrass, the ability to run Amazon Elastic Compute Cloud instances, and ample local storage, AWS Snowcone can be used as an IoT hub, data aggregation point, application monitor, or lightweight analytics engine. Today, Amazon Web Services, Inc. an Amazon.com company, announced AWS Snowcone, a new small, ultra-portable, rugged, and secure edge computing and data transfer device. At under 5 lbs and able to fit in a standard mailbox or a small backpack, AWS Snowcone is the smallest member of the AWS Snow Family of devices, enabling customers to collect data, process it locally, and move it to AWS either offline (by shipping the device to AWS) or online (by using AWS DataSync to send the data to AWS over the network). AWS Snowcone is built to withstand harsh conditions and is designed for a variety of use cases in environments outside of the traditional data center that lack consistent network connectivity and/or require portability, including healthcare, industrial IoT, drones, tactical edge computing, content distribution, data migration, video content creation, and transportation. Millions of customers have applications that rely on AWS for data processing, analytics, storage, IoT, and machine learning capabilities. Increasingly, edge computing use cases (like machine learning inference, industrial IoT, and autonomous machines) drive customers' need to move data capture, processing, and analysis closer to end users and devices. Running applications in disconnected environments or connected edge locations can be challenging because often these locations lack the space, power, and cooling common in data centers. Today, customers use the AWS Snow Family (a collection of physical devices designed to run outside the data center and ranging in size from the suitcase-sized AWS Snowball to the 45-foot long ruggedized shipping container AWS Snowmobile) to collect and process data, run local computing applications, and move large volumes of data from log files, digital media, genomic data, and sensor data from connected devices to AWS. As customers seek to extend the reach of their cloud infrastructure into more edge locations, new use cases are emerging for edge computing in more situations like vehicles (land, sea, and air), industrial operations, and remote and austere sites that require a rugged and secure device with even greater portability and a smaller form factor than the AWS Snow Family of devices has traditionally provided. Read More: ReFirm Labs Announces Spring 2020 Release of its IoT Firmware Security Platform – Centrifuge AWS Snowcone provides maximum flexibility for edge computing environments, offering a small, ultra-portable, rugged, and military grade secure device to run applications and migrate data to AWS. AWS Snowcone measures 9 inches x 6 inches x 3 inches (23 cm x 15 cm x 8 cm) and weighs 4.5 lbs (2.1 kg). The device can easily fit in a backpack or messenger bag, standard mailbox, or any type of vehicle, and is light enough to be carried by drone. AWS Snowcone can move data to AWS offline by shipping the device (using its E Ink shipping label) and online using Ethernet or Wi-Fi with AWS DataSync, which are integrated into the device. AWS Snowcone features 2 CPUs, 4 GB of memory, 8 TB of storage, and USB-C power (or optional battery). AWS Snowcone is designed to operate in extreme environments or disconnected remote sites (including oil rigs, first responder vehicles, military operations, factory floors, remote offices, hospitals, or movie theaters) for long periods of time without traditional data center conditions. With support for AWS IoT Greengrass, the ability to run Amazon Elastic Compute Cloud (Amazon EC2) instances, and ample local storage, AWS Snowcone can be used as an IoT hub, data aggregation point, application monitor, or lightweight analytics engine. Thousands of our customers have found AWS Snowball devices to be ideal for collecting data and running applications in remote and harsh environments. Since 2015, customer use of Snowball devices has greatly increased, as has their need for an even smaller device with even greater portability. With more applications running at the edge for an expanding range of use cases, like analyzing IoT sensor data and machine learning inference, AWS Snowcone makes it easier to collect, store, pre-process, and transfer data from harsh environments with limited space to AWS for more intensive processing, Bill Vass, VP of Storage, Automation and Management Services, AWS. Like other AWS Snow Family devices, all data on AWS Snowcone is encrypted using military grade 256-bit keys that customers can manage using the AWS Key Management Service (KMS). Additionally, AWS Snowcone contains anti-tamper and tamper-evident features to help ensure data on the device stays secure during transit. AWS Snowcone meets stringent ruggedization standards (it meets ISTA-3A, ASTM D4169, and MIL-STD-810G standards) for free-fall shock and operational vibration. The device is dust-tight and water resistant (it meets the IP65 International Protection Marking IEC standard). AWS Snowcone has a wide operating temperature range from freezing (0 degrees C/32 degrees F) to desert-like conditions (38 degrees C/100 degrees F), and withstands even harsher temperatures when in storage or being shipped (-32 degrees C/-25.6 degrees F to 63 degrees C/145.4 degrees F). Setting up an AWS Snowcone takes only 3 clicks, and once set-up, the device is easily used and managed through a simple-to-use graphical interface. AWS Snowcone is available in the US East (Northern Virginia) and US West (Oregon) AWS Regions, with availability planned in additional AWS Regions in the coming months. Deluxe Entertainment Services (Deluxe) is the world's leading video creation-to-distribution company offering global, end-to-end services and technology. "Our work with AWS is a fundamental part of Deluxe's strategy. One VZN, our new cloud-based IP delivery solution, is a leap in innovation for digital cinema distribution which has been stagnant over the past decade, fundamentally changing not only the economics of film distribution for exhibitors and studios around the globe, but enabling new theatrical experiences for viewers as well," said Andy Shenkler, Chief Product and Technology Officer, Deluxe. "The combination of AWS Snowcone, AWS DataSync, and Amazon S3 are essential to One VZN – the collective services distinguish themselves from any other cloud offerings today. The secure, compact AWS Snowcone device, in conjunction with Deluxe's powerful cloud-based solutions create a truly differentiated solution of the industry." SmugMug+Flickr is the world's largest and most influential photographer-centric platform. "For over a decade SmugMug has been storing billions of photos and videos for our millions of users in an accessible, available, and secure way using Amazon S3. With the introduction of AWS Snowcone, our customers now have a small, ultra-portable device with 8 terabytes of storage that allows them to capture more content during a photography or videography shoot, process the data locally, and then upload it to the cloud faster than ever," Don MacAskill, CEO & Chief Geek, SmugMug and Flickr. "AWS Snowcone's small form factor and rugged, secure design allows us to simply ship these devices to customers so they can seamlessly copy and preserve their precious and valuable media whether in the comfort of their own home or out on a shoot off the grid in jungles, deserts, forests, mountains, in the middle of the ocean, and even in drone use cases. Customers can then ship the device back to AWS or retain the device for multiple shoots all while transferring their data online with AWS DataSync. AWS Snowcone helps our users and photographers effortlessly and flexibly share their passion, work, and inspiration with each other leveraging the SmugMug platform." Federated Wireless leads the industry in development of shared spectrum Citizens Broadband Radio Service (CBRS) capabilities. The company's partner ecosystem includes more than 40 device manufacturers along with cloud edge partners, dedicated to collaborate for the advancement of CBRS services. "The combination of AWS Snowcone and the Federated Wireless Connectivity-as-a-Service private wireless solution enables an expansive variety of new business models and indoor and outdoor scenarios at the edge of the cloud, and even beyond the edge of the network," said Iyad Tarazi, President and CEO of Federated Wireless. "The small form factor and robust capabilities of Snowcone provides us more flexibility in our technology architecture. The simplified, innovative delivery and proven cloud capabilities of the combined solution give organizations of all types and sizes the security, compute power, portability, and mobility they need to meet their most pressing business and operational objectives." Novetta is an advanced analytics solutions company focused on mission success for its customers in the public sector, defense, intelligence, and federal law enforcement communities. AWS is leading in the development of practical, mission-ready edge computing technology that we use to build solutions to help our public sector clients save lives. AWS Snowcone is a great example of AWS innovation for the edge. Snowcone gives us a rugged, secure, and portable edge computing platform that we can use in disaster zones and austere edge locations. In our recent field exercises, Snowcone performed admirably as a sensor hub at the edge to track people and assets in a disaster zone, Rob Sheen, Senior Vice President, Client Operations at Novetta. CommScope pushes the boundaries of technology to create the world's most advanced wired and wireless networks. "Companies looking to deploy private LTE networks and need simple, easy install solutions will find AWS Snowcone, coupled with the CommScope CBRS portfolio, function as an optimal pairing in solving business challenges. Snowcone is a perfect fit for powering up 100s of edge network devices with private LTE mobility," said Upendra Pingle, Vice President, Distributed Coverage and Capacity Solutions, CommScope. "As an AWS technology partner, CommScope's CBRS solutions, including our Spectrum Access System and Radio Access Network offerings, will easily integrate for quick, frictionless deployments that give users total control of their data. The Snowcone device enables us to continue driving further innovations in our CBRS solutions all while transforming the barrier to entry for private LTE networks." Read More: SDSol Technologies Provides an Overview of How IoT Can Transform Your Business About Amazon Web Services Launched in 2006, Amazon Web Services began exposing key infrastructure services to businesses in the form of web services now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

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ReFirm Labs Announces Spring 2020 Release of its IoT Firmware Security Platform – Centrifuge

ReFirm Labs | June 19, 2020

ReFirm Labs, a provider of the industry’s first proactive IoT and firmware security solutions. IoT device manufacturers and users can automate compliance checks against new IoT security standards and regulations while protecting against emerging cyber and supply chain threats. Centrifuge continues to enhance the capabilities of its platform and introduces automated compliance reporting to address the rapidly increasing number of IoT industry standards and regulatory requirements. ReFirm Labs, a provider of the industry’s first proactive IoT and firmware security solutions, today announced the Spring 2020 release of its flagship Centrifuge Platform®. Centrifuge vets, validates and continuously monitors the security of firmware - the software that runs IoT devices - to protect against emerging cyber threats. With this new release, Centrifuge continues to enhance the capabilities of its platform and introduces automated compliance reporting to address the rapidly increasing number of IoT industry standards and regulatory requirements. Widely recognized as a pressing cybersecurity issue, firmware is a major unprotected attack surface that hackers use to get a foothold and move laterally into corporate or critical infrastructure networks. A host of emerging standards and regulations are being developed to address this threat by enforcing proper cyber hygiene by IoT device manufacturers. Recently both the US Cyberspace Solarium Commission and the NIST Cybersecurity for IoT Program released reports recommending stronger regulatory enforcement and clearer baseline standards and guidance for IoT device manufacturers and their supply chains in order to defend the country against cyberattacks. The Solarium report recommended Congress pass laws making device manufacturers liable for delivering products with known vulnerabilities. Read More: SDSol Technologies Provides an Overview of How IoT Can Transform Your Business IoT firmware is the next big attack vector. Yet IoT device manufacturers and users alike struggle to demonstrate compliance with these emerging standards and regulations due to the complicated, time intensive and expensive cybersecurity assessment process for these products. Device manufacturers also need visibility into the security of third-party components from their supply chain. Automation of these assessments and validation early in the development process is the key to trust and managing risk throughout the IoT ecosystem, Derick Naef, CEO of ReFirm Labs. He adds, “Just as organizations require a show of security and compliance due diligence for their enterprise applications, so should they be doing for their IoT devices.” The Spring ’20 release of ReFirm Labs’ Centrifuge Platform introduces major new capabilities that expand the firmware security analysis platform to help automate and address the compliance and certification needs of embedded systems. Updates include: • Security Policy and Standards Compliance Validation: To help IoT device manufacturers integrate security policies into their quality checks and development process, these security policies can be defined and automatically checked against the Centrifuge analysis results. The new Centrifuge Policy Engine quickly determines if a product release is compliant, which saves time and money before starting an expensive and time consuming certification process. In addition, manufacturers can now enforce security compliance when receiving code from third parties before they accept new releases. And product security teams can quickly evaluate compliance before that equipment is placed on the network. Security policies can be customized and mapped to any one of the emerging security standards to verify standards compliance. • Firmware Comparison for Supply Chain Visibility: To address Cyber Supply Chain Risks, Centrifuge now supports firmware differencing. Product security teams can get a detailed view of what has changed between releases or within equipment in the field. This reduces the time required to conduct product security assessments. Now security analysts can focus on just those components that changed or identify changes they were not expecting. Automated firmware differencing provides a key capability to organizations standing up Cyber Supply Chain Risk Management programs as required by emerging industry regulations. Other key improvements to Centrifuge’s core security analysis capabilities include: • Speed: Dramatically improved firmware extraction & analysis speed in some cases 10x faster • Expanded vulnerability coverage: 10 new analyzers for detecting known vulnerabilities in open source components, including Bluetooth, UPnP, and a variety of SSL security libraries • Expanded exploit coverage: 4 new detectors to identify exploits, including CABLEHAUNT and HiSilicon backdoors • PowerPC support: Binary analysis of firmware built for the PowerPC CPU architecture • Enhanced security: Support for two-factor authentication Highly scalable, automated and cloud-based, the Centrifuge Platform is a simple and reliable way for monitoring security across an entire system of deployed IoT devices without the need for agents or access to the network itself. Centrifuge has been proven to increase productivity for security teams while reducing the number of breaches on internet-connected devices. Read More: Canuc Signs MoU with M3SH Technologies for IoT Equipment Distribution About ReFirm Labs ReFirm Labs provides the industry's first IoT and firmware security solutions that proactively vet, validate and continuously monitor IoT devices from hidden threats. Its flagship product, Centrifuge Platform®, detects and reports potential zero-day vulnerabilities, hidden crypto keys, backdoor passwords and known vulnerabilities in IoT devices without needing access to source code. ReFirm Labs' technology has been proven to provide the insight and intelligence needed for users to proactively defend connected devices and maintain compliance and the integrity of supply chain security. Founded by a team of former NSA offensive cyber operators, ReFirm Labs is trusted by government agencies and Fortune 500 companies that operate in a wide variety of industries, including: telecommunications, cloud infrastructure and data centers, automotive, health care, utilities, and manufacturing.

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Software and Tools

Knorr-Bremse is Nexxiot's new client and strategic investor

Nexxiot | June 01, 2022

Nexxiot, the global TradeTech pioneer, welcomed Knorr-Bremse as a new customer and strategic investor. Knorr-Bremse is the global market leader for brake systems and other rail and commercial vehicle systems. Knorr-Bremse and its North American subsidiaries New York Air Brake and Knorr Brake Company will integrate Nexxiot's IoT hardware and software into future rail products and systems, proactively driving digital connectivity into its vast railroad customer base, in a major deal that will shape the future of rail transportation. Knorr-customers Bremse's will benefit from higher vehicle availability, optimized lifetime costs, and greater operational efficiency by linking their rail brakes, doors, HVAC, sanitary, and other systems to Nexxiot's digital environment. The company will also solidify its position as one of the most innovative rail providers, providing clients with appealing new insights and digital services. Knorr-Bremse joins Nexxiot as a strategic minority investor. Existing shareholders and the leading investment management firm QVIDTVM, directed by Burak Alici, have increased their holdings. "As a core element in our strategy, we're using digitalization to leverage our already strong position in safety- and mission-critical rail vehicle systems, and to generate further growth and strong profitability. Together with Nexxiot's dedicated team, we're now pressing ahead with our ambition to add further value for our customers. By combining our systems technology with Nexxiot's digital ecosystem, we're creating a win-win scenario that will boost vehicle availability and lower the total cost of fleet ownership by leveraging a new generation of data-based services," explains Dr. Jürgen Wilder, Member of the Executive Board of Knorr-Bremse AG and responsible for the Rail Vehicle Systems division. "This partnership with Knorr-Bremse, a leading supplier of rail vehicle systems, will help us build the best products and services for the industry. Together, we aim to accelerate the digitalization of key areas like rail freight and automation services. At the same time, we'll also be able to speed up our own expansion in the rail industry and continue our strong growth, Specifically, our sensors and scalable cloud-based platform help turn rolling stock assets into connected, data-generating industrial objects. Leveraging rail data in real-time will be a key success factor in helping make rail and rail services fit for the future." Stefan Kalmund, CEO of Nexxiot The Nexxiot Globehopper LINK gadget, which checks the status of some of the most critical sections of a railcar, such as doors and brakes, and sends the data to the cloud, will be deployed by Knorr-Bremse. Nexxiot uses unique algorithms and Big Data analytics to transform this data into new business information and data-driven services for all stakeholders in the value chain. This Internet of Things technology will enable operators to automate important business processes and get a wealth of new insights, resulting in a significant increase in efficiency, sustainability, customer service, and profitability. Train parts that haven't been monitored in real time are now visible and accessible digitally.

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AWS Announces Snowcone Edge Computing Box for IoT

Amazon | June 20, 2020

Amazon Web Services an Amazon.com company announced AWS Snowcone, a new small, ultra-portable, rugged, and secure edge computing and data transfer device. Millions of customers have applications that rely on AWS for data processing, analytics, storage, IoT, and machine learning capabilities. With support for AWS IoT Greengrass, the ability to run Amazon Elastic Compute Cloud instances, and ample local storage, AWS Snowcone can be used as an IoT hub, data aggregation point, application monitor, or lightweight analytics engine. Today, Amazon Web Services, Inc. an Amazon.com company, announced AWS Snowcone, a new small, ultra-portable, rugged, and secure edge computing and data transfer device. At under 5 lbs and able to fit in a standard mailbox or a small backpack, AWS Snowcone is the smallest member of the AWS Snow Family of devices, enabling customers to collect data, process it locally, and move it to AWS either offline (by shipping the device to AWS) or online (by using AWS DataSync to send the data to AWS over the network). AWS Snowcone is built to withstand harsh conditions and is designed for a variety of use cases in environments outside of the traditional data center that lack consistent network connectivity and/or require portability, including healthcare, industrial IoT, drones, tactical edge computing, content distribution, data migration, video content creation, and transportation. Millions of customers have applications that rely on AWS for data processing, analytics, storage, IoT, and machine learning capabilities. Increasingly, edge computing use cases (like machine learning inference, industrial IoT, and autonomous machines) drive customers' need to move data capture, processing, and analysis closer to end users and devices. Running applications in disconnected environments or connected edge locations can be challenging because often these locations lack the space, power, and cooling common in data centers. Today, customers use the AWS Snow Family (a collection of physical devices designed to run outside the data center and ranging in size from the suitcase-sized AWS Snowball to the 45-foot long ruggedized shipping container AWS Snowmobile) to collect and process data, run local computing applications, and move large volumes of data from log files, digital media, genomic data, and sensor data from connected devices to AWS. As customers seek to extend the reach of their cloud infrastructure into more edge locations, new use cases are emerging for edge computing in more situations like vehicles (land, sea, and air), industrial operations, and remote and austere sites that require a rugged and secure device with even greater portability and a smaller form factor than the AWS Snow Family of devices has traditionally provided. Read More: ReFirm Labs Announces Spring 2020 Release of its IoT Firmware Security Platform – Centrifuge AWS Snowcone provides maximum flexibility for edge computing environments, offering a small, ultra-portable, rugged, and military grade secure device to run applications and migrate data to AWS. AWS Snowcone measures 9 inches x 6 inches x 3 inches (23 cm x 15 cm x 8 cm) and weighs 4.5 lbs (2.1 kg). The device can easily fit in a backpack or messenger bag, standard mailbox, or any type of vehicle, and is light enough to be carried by drone. AWS Snowcone can move data to AWS offline by shipping the device (using its E Ink shipping label) and online using Ethernet or Wi-Fi with AWS DataSync, which are integrated into the device. AWS Snowcone features 2 CPUs, 4 GB of memory, 8 TB of storage, and USB-C power (or optional battery). AWS Snowcone is designed to operate in extreme environments or disconnected remote sites (including oil rigs, first responder vehicles, military operations, factory floors, remote offices, hospitals, or movie theaters) for long periods of time without traditional data center conditions. With support for AWS IoT Greengrass, the ability to run Amazon Elastic Compute Cloud (Amazon EC2) instances, and ample local storage, AWS Snowcone can be used as an IoT hub, data aggregation point, application monitor, or lightweight analytics engine. Thousands of our customers have found AWS Snowball devices to be ideal for collecting data and running applications in remote and harsh environments. Since 2015, customer use of Snowball devices has greatly increased, as has their need for an even smaller device with even greater portability. With more applications running at the edge for an expanding range of use cases, like analyzing IoT sensor data and machine learning inference, AWS Snowcone makes it easier to collect, store, pre-process, and transfer data from harsh environments with limited space to AWS for more intensive processing, Bill Vass, VP of Storage, Automation and Management Services, AWS. Like other AWS Snow Family devices, all data on AWS Snowcone is encrypted using military grade 256-bit keys that customers can manage using the AWS Key Management Service (KMS). Additionally, AWS Snowcone contains anti-tamper and tamper-evident features to help ensure data on the device stays secure during transit. AWS Snowcone meets stringent ruggedization standards (it meets ISTA-3A, ASTM D4169, and MIL-STD-810G standards) for free-fall shock and operational vibration. The device is dust-tight and water resistant (it meets the IP65 International Protection Marking IEC standard). AWS Snowcone has a wide operating temperature range from freezing (0 degrees C/32 degrees F) to desert-like conditions (38 degrees C/100 degrees F), and withstands even harsher temperatures when in storage or being shipped (-32 degrees C/-25.6 degrees F to 63 degrees C/145.4 degrees F). Setting up an AWS Snowcone takes only 3 clicks, and once set-up, the device is easily used and managed through a simple-to-use graphical interface. AWS Snowcone is available in the US East (Northern Virginia) and US West (Oregon) AWS Regions, with availability planned in additional AWS Regions in the coming months. Deluxe Entertainment Services (Deluxe) is the world's leading video creation-to-distribution company offering global, end-to-end services and technology. "Our work with AWS is a fundamental part of Deluxe's strategy. One VZN, our new cloud-based IP delivery solution, is a leap in innovation for digital cinema distribution which has been stagnant over the past decade, fundamentally changing not only the economics of film distribution for exhibitors and studios around the globe, but enabling new theatrical experiences for viewers as well," said Andy Shenkler, Chief Product and Technology Officer, Deluxe. "The combination of AWS Snowcone, AWS DataSync, and Amazon S3 are essential to One VZN – the collective services distinguish themselves from any other cloud offerings today. The secure, compact AWS Snowcone device, in conjunction with Deluxe's powerful cloud-based solutions create a truly differentiated solution of the industry." SmugMug+Flickr is the world's largest and most influential photographer-centric platform. "For over a decade SmugMug has been storing billions of photos and videos for our millions of users in an accessible, available, and secure way using Amazon S3. With the introduction of AWS Snowcone, our customers now have a small, ultra-portable device with 8 terabytes of storage that allows them to capture more content during a photography or videography shoot, process the data locally, and then upload it to the cloud faster than ever," Don MacAskill, CEO & Chief Geek, SmugMug and Flickr. "AWS Snowcone's small form factor and rugged, secure design allows us to simply ship these devices to customers so they can seamlessly copy and preserve their precious and valuable media whether in the comfort of their own home or out on a shoot off the grid in jungles, deserts, forests, mountains, in the middle of the ocean, and even in drone use cases. Customers can then ship the device back to AWS or retain the device for multiple shoots all while transferring their data online with AWS DataSync. AWS Snowcone helps our users and photographers effortlessly and flexibly share their passion, work, and inspiration with each other leveraging the SmugMug platform." Federated Wireless leads the industry in development of shared spectrum Citizens Broadband Radio Service (CBRS) capabilities. The company's partner ecosystem includes more than 40 device manufacturers along with cloud edge partners, dedicated to collaborate for the advancement of CBRS services. "The combination of AWS Snowcone and the Federated Wireless Connectivity-as-a-Service private wireless solution enables an expansive variety of new business models and indoor and outdoor scenarios at the edge of the cloud, and even beyond the edge of the network," said Iyad Tarazi, President and CEO of Federated Wireless. "The small form factor and robust capabilities of Snowcone provides us more flexibility in our technology architecture. The simplified, innovative delivery and proven cloud capabilities of the combined solution give organizations of all types and sizes the security, compute power, portability, and mobility they need to meet their most pressing business and operational objectives." Novetta is an advanced analytics solutions company focused on mission success for its customers in the public sector, defense, intelligence, and federal law enforcement communities. AWS is leading in the development of practical, mission-ready edge computing technology that we use to build solutions to help our public sector clients save lives. AWS Snowcone is a great example of AWS innovation for the edge. Snowcone gives us a rugged, secure, and portable edge computing platform that we can use in disaster zones and austere edge locations. In our recent field exercises, Snowcone performed admirably as a sensor hub at the edge to track people and assets in a disaster zone, Rob Sheen, Senior Vice President, Client Operations at Novetta. CommScope pushes the boundaries of technology to create the world's most advanced wired and wireless networks. "Companies looking to deploy private LTE networks and need simple, easy install solutions will find AWS Snowcone, coupled with the CommScope CBRS portfolio, function as an optimal pairing in solving business challenges. Snowcone is a perfect fit for powering up 100s of edge network devices with private LTE mobility," said Upendra Pingle, Vice President, Distributed Coverage and Capacity Solutions, CommScope. "As an AWS technology partner, CommScope's CBRS solutions, including our Spectrum Access System and Radio Access Network offerings, will easily integrate for quick, frictionless deployments that give users total control of their data. The Snowcone device enables us to continue driving further innovations in our CBRS solutions all while transforming the barrier to entry for private LTE networks." Read More: SDSol Technologies Provides an Overview of How IoT Can Transform Your Business About Amazon Web Services Launched in 2006, Amazon Web Services began exposing key infrastructure services to businesses in the form of web services now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Read More

ReFirm Labs Announces Spring 2020 Release of its IoT Firmware Security Platform – Centrifuge

ReFirm Labs | June 19, 2020

ReFirm Labs, a provider of the industry’s first proactive IoT and firmware security solutions. IoT device manufacturers and users can automate compliance checks against new IoT security standards and regulations while protecting against emerging cyber and supply chain threats. Centrifuge continues to enhance the capabilities of its platform and introduces automated compliance reporting to address the rapidly increasing number of IoT industry standards and regulatory requirements. ReFirm Labs, a provider of the industry’s first proactive IoT and firmware security solutions, today announced the Spring 2020 release of its flagship Centrifuge Platform®. Centrifuge vets, validates and continuously monitors the security of firmware - the software that runs IoT devices - to protect against emerging cyber threats. With this new release, Centrifuge continues to enhance the capabilities of its platform and introduces automated compliance reporting to address the rapidly increasing number of IoT industry standards and regulatory requirements. Widely recognized as a pressing cybersecurity issue, firmware is a major unprotected attack surface that hackers use to get a foothold and move laterally into corporate or critical infrastructure networks. A host of emerging standards and regulations are being developed to address this threat by enforcing proper cyber hygiene by IoT device manufacturers. Recently both the US Cyberspace Solarium Commission and the NIST Cybersecurity for IoT Program released reports recommending stronger regulatory enforcement and clearer baseline standards and guidance for IoT device manufacturers and their supply chains in order to defend the country against cyberattacks. The Solarium report recommended Congress pass laws making device manufacturers liable for delivering products with known vulnerabilities. Read More: SDSol Technologies Provides an Overview of How IoT Can Transform Your Business IoT firmware is the next big attack vector. Yet IoT device manufacturers and users alike struggle to demonstrate compliance with these emerging standards and regulations due to the complicated, time intensive and expensive cybersecurity assessment process for these products. Device manufacturers also need visibility into the security of third-party components from their supply chain. Automation of these assessments and validation early in the development process is the key to trust and managing risk throughout the IoT ecosystem, Derick Naef, CEO of ReFirm Labs. He adds, “Just as organizations require a show of security and compliance due diligence for their enterprise applications, so should they be doing for their IoT devices.” The Spring ’20 release of ReFirm Labs’ Centrifuge Platform introduces major new capabilities that expand the firmware security analysis platform to help automate and address the compliance and certification needs of embedded systems. Updates include: • Security Policy and Standards Compliance Validation: To help IoT device manufacturers integrate security policies into their quality checks and development process, these security policies can be defined and automatically checked against the Centrifuge analysis results. The new Centrifuge Policy Engine quickly determines if a product release is compliant, which saves time and money before starting an expensive and time consuming certification process. In addition, manufacturers can now enforce security compliance when receiving code from third parties before they accept new releases. And product security teams can quickly evaluate compliance before that equipment is placed on the network. Security policies can be customized and mapped to any one of the emerging security standards to verify standards compliance. • Firmware Comparison for Supply Chain Visibility: To address Cyber Supply Chain Risks, Centrifuge now supports firmware differencing. Product security teams can get a detailed view of what has changed between releases or within equipment in the field. This reduces the time required to conduct product security assessments. Now security analysts can focus on just those components that changed or identify changes they were not expecting. Automated firmware differencing provides a key capability to organizations standing up Cyber Supply Chain Risk Management programs as required by emerging industry regulations. Other key improvements to Centrifuge’s core security analysis capabilities include: • Speed: Dramatically improved firmware extraction & analysis speed in some cases 10x faster • Expanded vulnerability coverage: 10 new analyzers for detecting known vulnerabilities in open source components, including Bluetooth, UPnP, and a variety of SSL security libraries • Expanded exploit coverage: 4 new detectors to identify exploits, including CABLEHAUNT and HiSilicon backdoors • PowerPC support: Binary analysis of firmware built for the PowerPC CPU architecture • Enhanced security: Support for two-factor authentication Highly scalable, automated and cloud-based, the Centrifuge Platform is a simple and reliable way for monitoring security across an entire system of deployed IoT devices without the need for agents or access to the network itself. Centrifuge has been proven to increase productivity for security teams while reducing the number of breaches on internet-connected devices. Read More: Canuc Signs MoU with M3SH Technologies for IoT Equipment Distribution About ReFirm Labs ReFirm Labs provides the industry's first IoT and firmware security solutions that proactively vet, validate and continuously monitor IoT devices from hidden threats. Its flagship product, Centrifuge Platform®, detects and reports potential zero-day vulnerabilities, hidden crypto keys, backdoor passwords and known vulnerabilities in IoT devices without needing access to source code. ReFirm Labs' technology has been proven to provide the insight and intelligence needed for users to proactively defend connected devices and maintain compliance and the integrity of supply chain security. Founded by a team of former NSA offensive cyber operators, ReFirm Labs is trusted by government agencies and Fortune 500 companies that operate in a wide variety of industries, including: telecommunications, cloud infrastructure and data centers, automotive, health care, utilities, and manufacturing.

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