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Get connected: it’s as easy as IoT

Welcome to a new edition of our Get Connected series. We started the series with the goal of exploring how you can successfully transform and digitize your business, regardless of the industry you’re in. And we also said that we would focus on all steps of the journey, It doesn’t matter if you’re just considering the transformation, have already made the first steps or are already experiencing some of the benefits that IoT can bring to your business. We’ve talked a lot about what you can do with the data that that your equipment, operations and your buildings produce. And we’ve talked about how to maximize your results with new insights powered by AI. But today I want to focus on the steps prior to all the other topics and discuss how you can actually get started with IoT. It means connecting your devices, getting your data and making sense of it.

Spotlight

CitiusTech

CitiusTech is a specialist provider of healthcare technology services and solutions to healthcare technology companies, providers, payers and life sciences organizations. With over 2,900 professionals worldwide, CitiusTech enables healthcare organizations to drive clinical value chain - excellence, across integration & interoperability, data management (EDW, Big Data), performance management (BI / analytics), predictive analytics & data science and digital engagement (mobile, IoT).

OTHER ARTICLES
Industrial IoT, IoT Security

IoT Aids the Growing Wearable Technology

Article | July 12, 2023

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.

Read More
Enterprise Iot

Driving Rapid and Continuous Value for IoT Through an Ecosystem Approach

Article | May 11, 2023

In the wake of the COVID-19 pandemic, manufacturing is roaring back to life, and with it comes a renewed focus on Digital Transformation initiatives. The industry stands on the doorstep of its much-anticipated renaissance, and it’s clear that manufacturing leaders need to not only embrace but accelerate innovation while managing critical processes like increasing capacity while maintaining product quality. Effective collaboration will be key to doing both well, but it’s even more critical as workforces have gone and are still largely remote. As the virus swept the globe, it became apparent quickly that there would be winners and losers. Many manufacturers were caught off-guard, so to speak. Before manufacturing’s aforementioned reckoning, the industry had already been notorious for its slow adoption of the digital, data-centric mindset that has transformed other industries.

Read More
IoT Security

Unlocking the IoT Potential with AI

Article | July 17, 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

How the Internet of Things (IoT) is used in modern AI applications

Article | June 7, 2022

Artificial intelligence (AI) has already made headway into becoming a general-purpose technology vastly impacting economies. Yet, the interpretation and estimated trajectory for something remotely close to what we call AI now was first explored in the 1950s. Until this very day, AI keeps on evolving further. Though let’s face it, AI would have been useless without data. With around 2.5 quintillion bytes of data being generated every day, the numbers will shoot up as the Internet of Things (IoT) enters the game. Let’s see what this is all about and where and how exactly IoT crosses paths with AI applications. IoT fundamentals: Where does IoT meet AI The benefits of IoT in AI Challenges of IoT in AI Why implement machine learning in IoT IoT applications for AI Key takeaways IoT fundamentals: Where does IoT meet AI? What is meant by the term internet of things (IoT) is essentially a system of correlated digital and mechanical appliances, computing devices, and sensors embedded often into everyday objects that transfer data over a network. IoT connects the internet to any and every physical thing or place in the world. Modern IoT has advanced from the mere merging of microelectromechanical systems to wireless technologies, and faster data transfer through the internet. This resulted in a confluence of information technology and artificial intelligence, allowing unstructured machine-generated data to be evaluated for insights that could lead to new developments. More and more industries are now referring to IoT to function more proficiently, provide better customer service, escalate the significance of their business, and implement robust decision-making. Machine learning for IoT can be used to identify anomalies, predict emerging trends, and expand intelligence through the consumption of audio, videos, and images. The implication of machine learning in IoT can substitute manual processes and offer automated systems using statistically backed up actions in critical processes. The benefits of IoT in AI and real life IoT offers the following benefits to AI applications: IoT data for business purposes Cost and time savings Task automation and reduction of human intervention Higher quality of life IoT data for business purposes IoT can also be viewed as a data pool. That means by aggregating IoT data, one can extract useful data-driven feedback, which in turn (used properly) may foster effective decision-making. Businesses can also identify new market opportunities, not because of IoT itself but by using the data IoT provides. And since IoT offers companies access to more data, and hence advanced analytics of that data, its usage can eventually result in improved customer outcomes and enhanced service delivery. Cost and time savings When devices get connected, cost reductions come along with it. The gathering of different data allows for advances in efficiency, and it leads to money surplus and low-cost materials. Task automation and reduction of human intervention Nowadays, devices that are internet-connected can be found in every aspect of our lives, and it is safe to say that they make tasks easier. These automation features range from real-time AI-powered chatbots to home automation control systems, and all of it usually takes a click of a button. For businesses offering AI-enabled solutions, similar advancements can be achieved with pipeline automation too. That includes significant cuts in annotation and QA time. By leveraging SuperAnnotate’s platform, hundreds of companies recorded faster task completion and more accuracy in prediction results. Higher quality of life IoT is not only beneficial in the business aspects but it also creates better living circumstances for us. Smart cities and agriculture, intelligent homes, and food waste solutions are some of the most common ways of IoT providing better, more sustainable living conditions for people. Challenges of IoT in AI Despite the numerous benefits and advancements that IoT brings to the table, there have been a few limitations with it. Some of them are listed below: Privacy issues Data overflow Bug issues Compatibility issues Privacy issues With the increased connection between multiple devices or their coexistence for model development purposes, more information is shared between them, which poses vulnerability to your data and makes room for caution. Added layers of protection are needed to prevent risks of data leaks and other threats. Data overflow Eventually, organizations will have to find a way to deal with the large numbers of IoT devices, and that will include the collection and systematic management of all the data from those IoT devices. The proper use of data lakes and warehouses, close governance, and intuitive arrangement of datasets will become an utmost priority. Join hundreds of leading companies who build super high-quality training data up to 5x faster using SuperAnnotate’s intuitive data curation and robust project management features. Bug issues If one IoT device has a bug in its system, there is a large chance that every other connected device will also have it. Compatibility issues Because there are no international standards of compatibility for IoT, it's harder for different devices to communicate with one another. Why implement machine learning in IoT More and more companies are combining IoT with machine learning projects so they can achieve analytical skills on a large variety of use cases which allows their businesses to have access to fresh insights and adopt innovative automation. By implementing machine learning for IoT, they can leverage the following: Convert data into a coherent format Arrange the machine learning model on device, edge, and cloud Enable use of data on edge devices directly for complex decision making IoT applications for AI Although we have covered the basics of IoT, its implications for AI are not as simple. Many corporations are adopting IoT which allows them to have an advanced approach to growing and advancing their business. Novel IoT applications are offering organizations the ability to plan and implement more vigorous risk management strategies. Some of the more common uses of IoT in AI encompass the following: Transport logistics Not only does IoT expand the material flow systems in transport logistics, but it also improves the automatic identification and global positioning of freight. It also increases energy efficiency and consequently declines the consumption of energy. Smart cities Although the term smart city is still incomplete, it mainly refers to an urban area that endorses sustainable enlargement and high quality of life. Giffinger et al.’s model explains the features of a smart city, including the people, the government, the economy, and lifestyle. E-health control The two main objectives of future health care are e-health control and prevention. People nowadays can choose to be monitored by physicians even if they do not live in the same country or place. Tracing and monitoring peoples’ health history makes IoT-assisted e-health extremely useful. IoT healthcare solutions could also benefit the specialists, as they can collect information to advance their medical calculations. Key takeaways Ever since its development, IoT, especially AI-enabled IoT, as discussed, has been enhancing our daily lives and directing us to work smarter while having complete control over the process. Besides having smart appliances to elevate homes, IoT devices can also be essential for providing insights and an actual look for businesses into their systems. Heading forward, IoT will continue to develop as more organizations get to understand its potential usage and tangible benefits.

Read More
Industrial IoT, IoT Security

Key IoT Security Certifications to Boost Your Career in IoT Industry

Article | July 12, 2023

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.

Read More
Enterprise Iot

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

Article | May 11, 2023

In the wake of the COVID-19 pandemic, manufacturing is roaring back to life, and with it comes a renewed focus on Digital Transformation initiatives. The industry stands on the doorstep of its much-anticipated renaissance, and it’s clear that manufacturing leaders need to not only embrace but accelerate innovation while managing critical processes like increasing capacity while maintaining product quality. Effective collaboration will be key to doing both well, but it’s even more critical as workforces have gone and are still largely remote. As the virus swept the globe, it became apparent quickly that there would be winners and losers. Many manufacturers were caught off-guard, so to speak. Before manufacturing’s aforementioned reckoning, the industry had already been notorious for its slow adoption of the digital, data-centric mindset that has transformed other industries.

Read More
IoT Security

Revealing IoT Security Realities in Device Interlinking Era

Article | July 17, 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

How the Internet of Things (IoT) is used in modern AI applications

Article | June 7, 2022

Artificial intelligence (AI) has already made headway into becoming a general-purpose technology vastly impacting economies. Yet, the interpretation and estimated trajectory for something remotely close to what we call AI now was first explored in the 1950s. Until this very day, AI keeps on evolving further. Though let’s face it, AI would have been useless without data. With around 2.5 quintillion bytes of data being generated every day, the numbers will shoot up as the Internet of Things (IoT) enters the game. Let’s see what this is all about and where and how exactly IoT crosses paths with AI applications. IoT fundamentals: Where does IoT meet AI The benefits of IoT in AI Challenges of IoT in AI Why implement machine learning in IoT IoT applications for AI Key takeaways IoT fundamentals: Where does IoT meet AI? What is meant by the term internet of things (IoT) is essentially a system of correlated digital and mechanical appliances, computing devices, and sensors embedded often into everyday objects that transfer data over a network. IoT connects the internet to any and every physical thing or place in the world. Modern IoT has advanced from the mere merging of microelectromechanical systems to wireless technologies, and faster data transfer through the internet. This resulted in a confluence of information technology and artificial intelligence, allowing unstructured machine-generated data to be evaluated for insights that could lead to new developments. More and more industries are now referring to IoT to function more proficiently, provide better customer service, escalate the significance of their business, and implement robust decision-making. Machine learning for IoT can be used to identify anomalies, predict emerging trends, and expand intelligence through the consumption of audio, videos, and images. The implication of machine learning in IoT can substitute manual processes and offer automated systems using statistically backed up actions in critical processes. The benefits of IoT in AI and real life IoT offers the following benefits to AI applications: IoT data for business purposes Cost and time savings Task automation and reduction of human intervention Higher quality of life IoT data for business purposes IoT can also be viewed as a data pool. That means by aggregating IoT data, one can extract useful data-driven feedback, which in turn (used properly) may foster effective decision-making. Businesses can also identify new market opportunities, not because of IoT itself but by using the data IoT provides. And since IoT offers companies access to more data, and hence advanced analytics of that data, its usage can eventually result in improved customer outcomes and enhanced service delivery. Cost and time savings When devices get connected, cost reductions come along with it. The gathering of different data allows for advances in efficiency, and it leads to money surplus and low-cost materials. Task automation and reduction of human intervention Nowadays, devices that are internet-connected can be found in every aspect of our lives, and it is safe to say that they make tasks easier. These automation features range from real-time AI-powered chatbots to home automation control systems, and all of it usually takes a click of a button. For businesses offering AI-enabled solutions, similar advancements can be achieved with pipeline automation too. That includes significant cuts in annotation and QA time. By leveraging SuperAnnotate’s platform, hundreds of companies recorded faster task completion and more accuracy in prediction results. Higher quality of life IoT is not only beneficial in the business aspects but it also creates better living circumstances for us. Smart cities and agriculture, intelligent homes, and food waste solutions are some of the most common ways of IoT providing better, more sustainable living conditions for people. Challenges of IoT in AI Despite the numerous benefits and advancements that IoT brings to the table, there have been a few limitations with it. Some of them are listed below: Privacy issues Data overflow Bug issues Compatibility issues Privacy issues With the increased connection between multiple devices or their coexistence for model development purposes, more information is shared between them, which poses vulnerability to your data and makes room for caution. Added layers of protection are needed to prevent risks of data leaks and other threats. Data overflow Eventually, organizations will have to find a way to deal with the large numbers of IoT devices, and that will include the collection and systematic management of all the data from those IoT devices. The proper use of data lakes and warehouses, close governance, and intuitive arrangement of datasets will become an utmost priority. Join hundreds of leading companies who build super high-quality training data up to 5x faster using SuperAnnotate’s intuitive data curation and robust project management features. Bug issues If one IoT device has a bug in its system, there is a large chance that every other connected device will also have it. Compatibility issues Because there are no international standards of compatibility for IoT, it's harder for different devices to communicate with one another. Why implement machine learning in IoT More and more companies are combining IoT with machine learning projects so they can achieve analytical skills on a large variety of use cases which allows their businesses to have access to fresh insights and adopt innovative automation. By implementing machine learning for IoT, they can leverage the following: Convert data into a coherent format Arrange the machine learning model on device, edge, and cloud Enable use of data on edge devices directly for complex decision making IoT applications for AI Although we have covered the basics of IoT, its implications for AI are not as simple. Many corporations are adopting IoT which allows them to have an advanced approach to growing and advancing their business. Novel IoT applications are offering organizations the ability to plan and implement more vigorous risk management strategies. Some of the more common uses of IoT in AI encompass the following: Transport logistics Not only does IoT expand the material flow systems in transport logistics, but it also improves the automatic identification and global positioning of freight. It also increases energy efficiency and consequently declines the consumption of energy. Smart cities Although the term smart city is still incomplete, it mainly refers to an urban area that endorses sustainable enlargement and high quality of life. Giffinger et al.’s model explains the features of a smart city, including the people, the government, the economy, and lifestyle. E-health control The two main objectives of future health care are e-health control and prevention. People nowadays can choose to be monitored by physicians even if they do not live in the same country or place. Tracing and monitoring peoples’ health history makes IoT-assisted e-health extremely useful. IoT healthcare solutions could also benefit the specialists, as they can collect information to advance their medical calculations. Key takeaways Ever since its development, IoT, especially AI-enabled IoT, as discussed, has been enhancing our daily lives and directing us to work smarter while having complete control over the process. Besides having smart appliances to elevate homes, IoT devices can also be essential for providing insights and an actual look for businesses into their systems. Heading forward, IoT will continue to develop as more organizations get to understand its potential usage and tangible benefits.

Read More
MORE ARTICLES

Spotlight

CitiusTech

CitiusTech is a specialist provider of healthcare technology services and solutions to healthcare technology companies, providers, payers and life sciences organizations. With over 2,900 professionals worldwide, CitiusTech enables healthcare organizations to drive clinical value chain - excellence, across integration & interoperability, data management (EDW, Big Data), performance management (BI / analytics), predictive analytics & data science and digital engagement (mobile, IoT).

Related News

Industrial IoT

Tuya Smart Delivers IoT Best Practice Using Amazon Aurora, Leads the Direction of Cloud Database Innovation Use Cases with Amazon Web Services

Tuya Smart | January 24, 2024

Tuya Smart, the global IoT developer service provider, has delivered its Best Practices in using Amazon Aurora at IoT industry. Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Tuya and Amazon Web Services (AWS) built a solid basis of collaboration in database use cases exploration while also delivering smooth operation of billions of devices requiring high concurrency and low latency. Tuya and AWS: Building a benchmark for database implementation practice Tuya is a leading technology company focused on making our lives smarter. Tuya does this by offering a cloud platform that connects a range of devices via the IoT. By building interconnectivity standards, Tuya bridges the intelligent needs of brands, OEMs, developers, and retail chains across a broad range of smart devices and industries. Tuya's solutions enable partners and customers by improving the value of their products while making consumers' lives more convenient through the application of technology. As of September 30, 2023, the Tuya IoT Developer Platform has accumulated over 909,000 registered developers from over 200 countries and regions, covering industries including real estate, hospitality, residential, industry, agriculture, etc. The greater the breadth of business coverage, the more advanced technological support required. Tuya faces high-frequency reads and writes as well as enormous data storage challenges from billion-level online devices. Meanwhile, due to the commercial scenarios involving smart homes and smart industries, Tuya's operating response demands low latency in order to deliver a smoother user experience. Furthermore, Tuya's quick expansion and regular business changes have posed significant challenges to its operation and maintenance management. Tuya selected Amazon Aurora as core database engine for its unparalleled performance and availability at global scale. How does Tuya specifically leverage the Amazon Aurora database? Tuya currently manages billions of real-time online devices and can keep cloud message processing response times under 10 milliseconds. However, billions online devices provide a challenge. During holidays, there will be peak traffic volume, with tens of millions of devices going online and offline virtually simultaneously. Tuya used Amazon Aurora to construct a data storage solution to solve the main problem of rapid increase in short-term traffic, and to fully utilize resources. Aurora's design, which separates compute and storage and low-latency replication functionality, improves system throughput by enhancing the effect of read-write separation. Aurora provides up to 15 read replicas, setting the groundwork for Tuya's read flexibility development. At the same time, Tuya has integrated Aurora Serverless, which includes seconds-level elastic expansion and contraction, allowing Tuya to handle extremely heavy business traffic smoothly. Tuya's customers are located throughout more than 200 nations and regions, and they deal with widespread access to IoT data. Different countries and regions have different regulations on data compliance, such as GDPR and local PII. Tuya needs to adhere to each region's data security compliance regulations. As Tuya's primary business data storage provider, Amazon Aurora was among the first in the public cloud sector to enable physical encryption for database products, which significantly decreased the cost of Tuya's security compliance transformation and gave Tuya excellent basic security guarantees. In addition, Tuya is continuously testing out additional new innovation unique to Aurora, such as Enhanced Binlog, zero-ETL, and Limitless Database. Aurora's ongoing investment in innovative technologies provides more opportunities for Tuya to expand its business. Additionally, based on Tuya's comprehensive IoT developer platform architecture, both parties have collaborated to enhance Tuya IoT applications performance indicators like stability, low latency, scalability, and security in the real-world application of databases, revealing more potential and possibilities and enabling the IoT. Tuya and AWS: Continuously promoting the evolution of cloud experience Data-driven approaches will usher in a new era of innovation in tandem with the swift advancement of data applications. At this year's re:Invent conference, Peter DeSantis, Senior Vice President of AWS, reviewed the relational database's development history in great detail. In 2014, AWS created Aurora based on log architecture. In 2018, the release of Aurora Serverless allowed for seamless scaling of database resources through virtualization technology. This year, AWS announced the launch of the Amazon Aurora Limitless Database, which automatically scales to millions of write transactions per second well beyond current limits of a single PostgreSQL instance. It is apparent from Amazon Aurora's development history that AWS has always been dedicated to innovation. Customers and partners from a range of industries actively utilizes AWS to enable rapid innovation in a variety of ways, while also working together to enhance the cloud experience. Similar to how Tuya and AWS work together, Tuya's effective and user-friendly IoT developer platform and rich and varied IoT solutions have built a significant lighthouse, embracing the Amazon Aurora's innovation and accelerated the process of building a more secure and reliable IoT database use case. Amazon Aurora VP Yan Leshinsky said, "Amazon Aurora is the fastest growing service in the history of AWS and is trusted by hundreds of thousands of customers. We innovate by working backwards from customers' needs, and we appreciate the feedback that Tuya has shared. We remain committed in developing new Aurora features and capabilities so all customers can accelerate their applications' capabilities and business growth by using Aurora." "Tuya has always committed to strengthening advanced and valuable innovations, while offering open and neutral ecosystem assistance for global partners. We provide our developers with enhanced operational and maintenance control, adaptable data storage options, superior product experience, and a global business layout by utilizing the Amazon Aurora database. We will continue to work with AWS to benefit the world in the future in areas including technology, ecosystems, and cloud computing, helping customers achieve commercial success." said Eva Na, Vice President of Marketing and Strategic Cooperation, and CMO of Tuya Smart. Enhancing the partnership with AWS, Tuya delivered IoT best practice using Amazon Aurora database, giving the industry's growth additional impetus. Tuya will maintain its open and neutral stance going forward, collaborating with cloud service providers like AWS to offer global developers a more secure, reliable, and productive cloud environment, thereby advancing the innovation and development of the entire industry.

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Enterprise Iot

Nozomi Networks Delivers Industry's First Multi-Spectrum Wireless Security Sensor for Global OT and IoT Environments

Nozomi Networks | January 25, 2024

Nozomi Networks Inc., the leader in OT and IoT security, today introduced Guardian Air™, the industry's only wireless spectrum sensor purpose-built for OT and IoT environments worldwide. With 80 percent of new IoT deployments wirelessly connected, wireless is quickly becoming a preferred network. The explosion of wirelessly connected devices increases potential access points and exploitation of networks. This puts critical infrastructure at risk of cyberattacks and disruptions to operations. Guardian Air provides much-needed visibility into wirelessly enabled devices which until now were only detected once connected to the wired network. Guardian Air monitors several prominent wireless frequencies, not just Bluetooth and Wi-Fi, to provide security teams with immediate visibility of connected sensors, devices, laptops and cell phones. With the addition of Guardian Air, customers have a comprehensive network solution all in one integrated platform. "Nozomi Networks has once again innovated to address an unmet need for wireless-level monitoring in OT and IoT environments," said Danielle VanZandt, an industry manager for commercial and public security research at Frost & Sullivan. "From smart manufacturing to digital medicine, to building automation, to modern oil field production and more, today industrial organizations are relying on billions of wireless devices to speed production and time to market. Guardian Air gives IT security professionals and OT operators the visibility they need to get a firm handle on wireless risk management and response." With Guardian Air, IT security professionals and OT operators can: Continuously monitor prominent wireless frequency technologies used in OT and IoT environments including Bluetooth, Wi-Fi, cellular, LoRaWAN, Zigbee, GPS, drone RF protocols, WirelessHART and more, Immediately detect wirelessly connected assets and gain asset information to quickly address unauthorized installations, Detect wireless-specific threats, including brute force attacks, spoofing, and bluejacking – with the added ability to determine the location of the devices performing the attacks, Seamlessly integrate wireless data into a single OT & IoT security platform that unifies asset visibility from the endpoint and across wired and wireless networks. "Wireless is fundamentally changing the way industrial organizations operate. Unfortunately, it also massively expands the potential attack surface," said Nozomi Networks Co-founder and Chief Product Officer Andrea Carcano. "Guardian Air solves this problem by giving customers the accurate visibility they need at the wireless level to minimize risk while maximizing resiliency. Because Guardian Air integrates easily into the Nozomi Networks Vantage platform, customers can combine network, endpoint and wireless for the greatest visibility, threat detection and AI-powered analysis for real-time security management and remediation across the entire attack surface." The Nozomi Guardian Air wireless sensor will be available this spring from Nozomi Networks and its extensive global network of channel partners. About Nozomi Networks Nozomi Networks accelerates digital transformation by protecting the world's critical infrastructure, industrial and government organizations from cyber threats. Our solution delivers exceptional network and asset visibility, threat detection, and insights for OT and IoT environments. Customers rely on us to minimize risk and complexity while maximizing operational resilience. www.nozominetworks.com

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IoT Security

AppViewX Digital Trust Platform Named IoT Security Product of the Year

AppViewX | January 12, 2024

AppViewX, the leader in automated machine identity management (MIM) and application infrastructure security, today announced the AppViewX Digital Trust Platform has been named IoT Security Product of the Year in the 8th annual IoT Breakthrough awards program, which showcases technologies and companies that drive innovation and exemplify the best in IoT technology solutions across the globe. IoT Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global IoT market. The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year's program attracted nominations from companies all over the world. “Unmanaged machine identities for IoT devices can create critical security vulnerabilities, but for most organizations discovering, maintaining visibility into and controlling them has become manually unfeasible,” said Gregory Webb, CEO of AppViewX. “The AppViewX Digital Trust Platform automates IoT identity management at scale across the largest, most complex and distributed customer environments, allowing customers to achieve significantly stronger security posture and meet compliance requirements.” All IoT Breakthrough Award nominations were evaluated by an independent panel of experts within the IoT industry, with the winning products and companies selected based on a variety of criteria, including most innovative and technologically advanced products and services. About AppViewX Digital Trust Platform Out of the box, AppViewX provides instant value to customers by discovering all certificates across complex enterprise environments, building and maintaining inventories, provisioning both private and public trust certificates from any CA, alerting to expiring certificates and fully automating renewals and revocation to eliminate outages and security weaknesses across machines, applications, services, and security infrastructure. About AppViewX AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated machine identity management and application infrastructure security and orchestration. The AppViewX platform provides complete certificate lifecycle management and PKI-as-a-Service using streamlined workflows to prevent outages, reduce security incidents and enable crypto-agility. Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers rely on AppViewX to automate NetOps, SecOps, and DevOps. AppViewX is headquartered in New York with offices in the U.K., Australia and three development centers of excellence in India. For more information, visit https://www.appviewx.com and follow us on LinkedIn and Twitter.

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Industrial IoT

Tuya Smart Delivers IoT Best Practice Using Amazon Aurora, Leads the Direction of Cloud Database Innovation Use Cases with Amazon Web Services

Tuya Smart | January 24, 2024

Tuya Smart, the global IoT developer service provider, has delivered its Best Practices in using Amazon Aurora at IoT industry. Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Tuya and Amazon Web Services (AWS) built a solid basis of collaboration in database use cases exploration while also delivering smooth operation of billions of devices requiring high concurrency and low latency. Tuya and AWS: Building a benchmark for database implementation practice Tuya is a leading technology company focused on making our lives smarter. Tuya does this by offering a cloud platform that connects a range of devices via the IoT. By building interconnectivity standards, Tuya bridges the intelligent needs of brands, OEMs, developers, and retail chains across a broad range of smart devices and industries. Tuya's solutions enable partners and customers by improving the value of their products while making consumers' lives more convenient through the application of technology. As of September 30, 2023, the Tuya IoT Developer Platform has accumulated over 909,000 registered developers from over 200 countries and regions, covering industries including real estate, hospitality, residential, industry, agriculture, etc. The greater the breadth of business coverage, the more advanced technological support required. Tuya faces high-frequency reads and writes as well as enormous data storage challenges from billion-level online devices. Meanwhile, due to the commercial scenarios involving smart homes and smart industries, Tuya's operating response demands low latency in order to deliver a smoother user experience. Furthermore, Tuya's quick expansion and regular business changes have posed significant challenges to its operation and maintenance management. Tuya selected Amazon Aurora as core database engine for its unparalleled performance and availability at global scale. How does Tuya specifically leverage the Amazon Aurora database? Tuya currently manages billions of real-time online devices and can keep cloud message processing response times under 10 milliseconds. However, billions online devices provide a challenge. During holidays, there will be peak traffic volume, with tens of millions of devices going online and offline virtually simultaneously. Tuya used Amazon Aurora to construct a data storage solution to solve the main problem of rapid increase in short-term traffic, and to fully utilize resources. Aurora's design, which separates compute and storage and low-latency replication functionality, improves system throughput by enhancing the effect of read-write separation. Aurora provides up to 15 read replicas, setting the groundwork for Tuya's read flexibility development. At the same time, Tuya has integrated Aurora Serverless, which includes seconds-level elastic expansion and contraction, allowing Tuya to handle extremely heavy business traffic smoothly. Tuya's customers are located throughout more than 200 nations and regions, and they deal with widespread access to IoT data. Different countries and regions have different regulations on data compliance, such as GDPR and local PII. Tuya needs to adhere to each region's data security compliance regulations. As Tuya's primary business data storage provider, Amazon Aurora was among the first in the public cloud sector to enable physical encryption for database products, which significantly decreased the cost of Tuya's security compliance transformation and gave Tuya excellent basic security guarantees. In addition, Tuya is continuously testing out additional new innovation unique to Aurora, such as Enhanced Binlog, zero-ETL, and Limitless Database. Aurora's ongoing investment in innovative technologies provides more opportunities for Tuya to expand its business. Additionally, based on Tuya's comprehensive IoT developer platform architecture, both parties have collaborated to enhance Tuya IoT applications performance indicators like stability, low latency, scalability, and security in the real-world application of databases, revealing more potential and possibilities and enabling the IoT. Tuya and AWS: Continuously promoting the evolution of cloud experience Data-driven approaches will usher in a new era of innovation in tandem with the swift advancement of data applications. At this year's re:Invent conference, Peter DeSantis, Senior Vice President of AWS, reviewed the relational database's development history in great detail. In 2014, AWS created Aurora based on log architecture. In 2018, the release of Aurora Serverless allowed for seamless scaling of database resources through virtualization technology. This year, AWS announced the launch of the Amazon Aurora Limitless Database, which automatically scales to millions of write transactions per second well beyond current limits of a single PostgreSQL instance. It is apparent from Amazon Aurora's development history that AWS has always been dedicated to innovation. Customers and partners from a range of industries actively utilizes AWS to enable rapid innovation in a variety of ways, while also working together to enhance the cloud experience. Similar to how Tuya and AWS work together, Tuya's effective and user-friendly IoT developer platform and rich and varied IoT solutions have built a significant lighthouse, embracing the Amazon Aurora's innovation and accelerated the process of building a more secure and reliable IoT database use case. Amazon Aurora VP Yan Leshinsky said, "Amazon Aurora is the fastest growing service in the history of AWS and is trusted by hundreds of thousands of customers. We innovate by working backwards from customers' needs, and we appreciate the feedback that Tuya has shared. We remain committed in developing new Aurora features and capabilities so all customers can accelerate their applications' capabilities and business growth by using Aurora." "Tuya has always committed to strengthening advanced and valuable innovations, while offering open and neutral ecosystem assistance for global partners. We provide our developers with enhanced operational and maintenance control, adaptable data storage options, superior product experience, and a global business layout by utilizing the Amazon Aurora database. We will continue to work with AWS to benefit the world in the future in areas including technology, ecosystems, and cloud computing, helping customers achieve commercial success." said Eva Na, Vice President of Marketing and Strategic Cooperation, and CMO of Tuya Smart. Enhancing the partnership with AWS, Tuya delivered IoT best practice using Amazon Aurora database, giving the industry's growth additional impetus. Tuya will maintain its open and neutral stance going forward, collaborating with cloud service providers like AWS to offer global developers a more secure, reliable, and productive cloud environment, thereby advancing the innovation and development of the entire industry.

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Enterprise Iot

Nozomi Networks Delivers Industry's First Multi-Spectrum Wireless Security Sensor for Global OT and IoT Environments

Nozomi Networks | January 25, 2024

Nozomi Networks Inc., the leader in OT and IoT security, today introduced Guardian Air™, the industry's only wireless spectrum sensor purpose-built for OT and IoT environments worldwide. With 80 percent of new IoT deployments wirelessly connected, wireless is quickly becoming a preferred network. The explosion of wirelessly connected devices increases potential access points and exploitation of networks. This puts critical infrastructure at risk of cyberattacks and disruptions to operations. Guardian Air provides much-needed visibility into wirelessly enabled devices which until now were only detected once connected to the wired network. Guardian Air monitors several prominent wireless frequencies, not just Bluetooth and Wi-Fi, to provide security teams with immediate visibility of connected sensors, devices, laptops and cell phones. With the addition of Guardian Air, customers have a comprehensive network solution all in one integrated platform. "Nozomi Networks has once again innovated to address an unmet need for wireless-level monitoring in OT and IoT environments," said Danielle VanZandt, an industry manager for commercial and public security research at Frost & Sullivan. "From smart manufacturing to digital medicine, to building automation, to modern oil field production and more, today industrial organizations are relying on billions of wireless devices to speed production and time to market. Guardian Air gives IT security professionals and OT operators the visibility they need to get a firm handle on wireless risk management and response." With Guardian Air, IT security professionals and OT operators can: Continuously monitor prominent wireless frequency technologies used in OT and IoT environments including Bluetooth, Wi-Fi, cellular, LoRaWAN, Zigbee, GPS, drone RF protocols, WirelessHART and more, Immediately detect wirelessly connected assets and gain asset information to quickly address unauthorized installations, Detect wireless-specific threats, including brute force attacks, spoofing, and bluejacking – with the added ability to determine the location of the devices performing the attacks, Seamlessly integrate wireless data into a single OT & IoT security platform that unifies asset visibility from the endpoint and across wired and wireless networks. "Wireless is fundamentally changing the way industrial organizations operate. Unfortunately, it also massively expands the potential attack surface," said Nozomi Networks Co-founder and Chief Product Officer Andrea Carcano. "Guardian Air solves this problem by giving customers the accurate visibility they need at the wireless level to minimize risk while maximizing resiliency. Because Guardian Air integrates easily into the Nozomi Networks Vantage platform, customers can combine network, endpoint and wireless for the greatest visibility, threat detection and AI-powered analysis for real-time security management and remediation across the entire attack surface." The Nozomi Guardian Air wireless sensor will be available this spring from Nozomi Networks and its extensive global network of channel partners. About Nozomi Networks Nozomi Networks accelerates digital transformation by protecting the world's critical infrastructure, industrial and government organizations from cyber threats. Our solution delivers exceptional network and asset visibility, threat detection, and insights for OT and IoT environments. Customers rely on us to minimize risk and complexity while maximizing operational resilience. www.nozominetworks.com

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IoT Security

AppViewX Digital Trust Platform Named IoT Security Product of the Year

AppViewX | January 12, 2024

AppViewX, the leader in automated machine identity management (MIM) and application infrastructure security, today announced the AppViewX Digital Trust Platform has been named IoT Security Product of the Year in the 8th annual IoT Breakthrough awards program, which showcases technologies and companies that drive innovation and exemplify the best in IoT technology solutions across the globe. IoT Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global IoT market. The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year's program attracted nominations from companies all over the world. “Unmanaged machine identities for IoT devices can create critical security vulnerabilities, but for most organizations discovering, maintaining visibility into and controlling them has become manually unfeasible,” said Gregory Webb, CEO of AppViewX. “The AppViewX Digital Trust Platform automates IoT identity management at scale across the largest, most complex and distributed customer environments, allowing customers to achieve significantly stronger security posture and meet compliance requirements.” All IoT Breakthrough Award nominations were evaluated by an independent panel of experts within the IoT industry, with the winning products and companies selected based on a variety of criteria, including most innovative and technologically advanced products and services. About AppViewX Digital Trust Platform Out of the box, AppViewX provides instant value to customers by discovering all certificates across complex enterprise environments, building and maintaining inventories, provisioning both private and public trust certificates from any CA, alerting to expiring certificates and fully automating renewals and revocation to eliminate outages and security weaknesses across machines, applications, services, and security infrastructure. About AppViewX AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated machine identity management and application infrastructure security and orchestration. The AppViewX platform provides complete certificate lifecycle management and PKI-as-a-Service using streamlined workflows to prevent outages, reduce security incidents and enable crypto-agility. Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers rely on AppViewX to automate NetOps, SecOps, and DevOps. AppViewX is headquartered in New York with offices in the U.K., Australia and three development centers of excellence in India. For more information, visit https://www.appviewx.com and follow us on LinkedIn and Twitter.

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