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IoT for Beginners (The Internet of latecomers)

Not everyone gets on the technological bandwagon at the same time. Early adopters happen to be the exception, not the rule. In fact, the most frequent scenario for many organizations (especially SMEs) is to test the waters of digital transformation with utmost caution: these companies only make sure to not miss the boat when clear signs of a mature market emerge, when successful business cases related to their same business area surface, and the required initial investment and the  periods for the ROI are clearly defined.

Spotlight

Atmosic Technologies

Atmosic™ Technologies is an innovative fabless semiconductor company, designing ultra-low power wireless solutions to dramatically reduce and disrupt device dependency on batteries, aiming to deliver forever battery life and the battery free connected Internet of Things. The company’s products enable the IoT device ecosystem—designers and manufacturers, as well as end users and those responsible for deployments—to dramatically lower costs and efforts associated with maintaining the growing Internet of Things in Personal, Home, Auto, Healthcare, Industrial, Enterprise and Smart Cities segments. In addition to these tangible business advantages, Atmosic aims to reduce ecological impacts with its vision of dramatically reduced battery consumption in the Internet of Things.

OTHER ARTICLES
Industrial IoT, IoT Security

5 Things to Know About the IoT Platforms Market

Article | July 12, 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

Top Challenges in IoT Data Governance in 2023

Article | July 17, 2023

Explore the emerging complexities of IoT data governance with 7 key challenges to tackle. Address data privacy, security, and ethical concerns, empowering your business for success in 2023 and beyond. Contents 1 The Case for Maintaining IoT Data Governance 2 Challenges of IoT Data Governance 2.1 Lack of Organizational Commitment 2.2 Data Privacy Concerns 2.3 Lack of Endpoint Security for IoT Devices 2.4 Issues with IoT Device Authentication 2.5 Increasing Volume of Unstructured Data 2.6 Unethical Use of IoT Data 2.7 Inadequate Data Governance Protocols 3 Addressing IoT Data Governance Challenges 3.1 Security by Design 3.2 Awareness Initiatives 3.3 Standardized Data Governance Policies 4 Conclusion 1 The Case for Maintaining IoT Data Governance The growing use of IoT devices across various industries has caused a surge in data volume. Most of these devices store sensitive company data, which plays a crucial role in business operations but can have dire consequences if it falls into the wrong hands. Thus, companies need to understand what is IoT governance and its implementation to safeguard sensitive data from unauthorized access and malicious exploitation. 2 Top Challenges in IoT Data Governance for Businesses 2.1 Lack of Organizational Commitment Organizational commitment is essential for effective IoT data governance. There needs to be a clear purpose and goals regarding data governance that are communicated to all stakeholders. Not focusing on organizational commitment can result in a lack of alignment between the organization's goals and the IoT data governance strategy, as well as uncertainty about ownership and accountability for data governance across the organization. 2.2 Data Privacy Concerns Ensuring data privacy is a significant concern when implementing IoT data management to maintain IoT data governance security. With the vast amount of data generated by IoT devices, there is an increased risk of personal and sensitive data being compromised. Therefore, it is crucial to identify potential vulnerabilities, mitigate the risk of data privacy breaches in IoT environments, and anonymize user data for consumer devices. 2.3 Lack of Endpoint Security for IoT Devices IoT devices are often designed with limited processing power and memory, and as such, many connected devices do not have built-in security features. This makes them attractive targets for hackers seeking to access confidential data or disrupt operations. Without proper endpoint security measures, IoT devices can be compromised, leading to data breaches, network downtime, and other security incidents that can compromise the entire system's integrity. 2.4 Issues with IoT Device Authentication When IoT devices are designed without proper authentication mechanisms, it can be challenging to verify their identities. This results in possible unauthorized access, data breaches, and other security incidents. To supplement IoT data management practices, companies must implement secure authentication protocols specifically designed for IoT environments, such as device certificates, digital signatures, and multi-factor authentication, to maintain IoT data governance. 2.5 Increasing Volume of Unstructured Data IoT devices generate vast amounts of data in various formats and structures, including text, images, audio, and video, which can be difficult to process, manage, and analyze. This data is often stored in different locations and formats, making it challenging to ensure quality and consistency. Moreover, this flood of unstructured data can contain sensitive information that must be protected to comply with regulations and standards. For effective IoT data governance, it is necessary to implement data classification, metadata management, and data quality management to make sense of unstructured data. 2.6 Unethical Use of IoT Data IoT devices collect data that can be sensitive and personal, and misuse can lead to various negative consequences. Data from IoT devices can be used to develop insights, but it must be handled carefully to avoid privacy violations, discrimination, or other negative consequences. Ensuring data ethics requires organizations to consider the potential impacts of their data collection and use practices on various stakeholders. This involves addressing issues such as data privacy, data ownership, transparency, and bias in IoT data analytics. 2.7 Inadequate Data Governance Protocols Without proper data governance protocols, IoT data may be inaccurate, incomplete, or difficult to access or analyze, reducing the effectiveness of IoT systems and limiting the potential benefits they can provide. Additionally, inadequate data governance protocols can lead to security and privacy vulnerabilities, potentially exposing sensitive data to unauthorized access or theft. This can result in legal and regulatory penalties, reputational damage, and a loss of customer trust. 3 Addressing IoT Data Governance Challenges 3.1 Security by Design This approach involves integrating security and governance considerations into the design and development of IoT systems from the outset. This helps minimize vulnerabilities, prevent breaches that may compromise the confidentiality, integrity, and availability of IoT data, and help maintain IoT data governance. In addition, by prioritizing security in the design phase, organizations can implement security controls and features tailored to their IoT systems' specific needs, which can help prevent unauthorized access, manipulation, or theft of IoT data. 3.2 Awareness Initiatives IoT data governance challenges can arise due to an improperly trained workforce that may not recognize the purpose and benefits of data governance practices. Awareness initiatives can help organizations develop a culture of security and privacy. These initiatives can educate employees and stakeholders about the risks and best practices associated with IoT data governance, including the importance of data security, privacy, and ethical considerations. By raising awareness of these issues, organizations can promote a culture of responsible data management, encourage stakeholders to adhere to data governance policies and procedures, and reduce the risk of human error or intentional misconduct that could compromise IoT data. 3.3 Standardized Data Governance Policies Collaboration between local, regional, and federal governments and businesses is essential to establishing frameworks for implementing IoT and related technologies within their jurisdictions. Cooperation between governments and enterprises is crucial for implementing a standardized IoT data governance policy. This will protect end-users by mandating basic standards in procurement processes and creating regulations and guidelines that promote responsible data governance. 4 IoT Data Governance: Future Outlook Data is one of the most valuable resources for organizations today, and addressing the problem of IoT data governance will ensure that the IoT of enterprises is used effectively and responsibly. Straits Research reported that the worldwide data governance market had a worth of USD 2.1 billion in 2021 and is projected to reach an estimated USD 11.68 billion by 2030. IoT devices are a key driving factor behind the growth of the data governance market, and as the amount of data generated and the number of devices grows, so will the complexity of data governance. By maintaining strong data governance policies and tracking changes in policies and best practices, businesses can ensure compliance and maintain trust in the long run.

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Enterprise Iot

IOT MARKET & TRENDS

Article | May 11, 2023

2022 looks bright for power optimization! The vibrant research and development in Internet of Things (IoT) is fueling the expansion of wireless monitoring solutions and enabling giant leaps in terms of low-power design. A longer lifetime for your batteries, and thus for your device, is a dream about to come true. We have gathered some of the most notable power optimization trends that are getting us all excited for 2022… 5G, the next era of broadband cellular networks will offer improved power saving capabilities The next wave of wider 5G cellular technology is designed to support various new highly challenging industrial use cases. These usually require increased hardware complexity and more processing, together with higher processing power. These requirements can raise power consumption quite significantly. Smart power consumption and energy efficiency are thus becoming keys for the success of these applications and 5G technology.To that extent, 5G New Radio (NR) has progressed swiftly. The new 3GPP™ release is designed to significantly improve the performance, flexibility, scalability, and efficiency of current mobile networks. Improved power saving features now allow IoT developers to get the most out of the available battery capacity. This could make all the difference for new IoT use cases and efficiencies. A new generation of sensors are optimized for low power technologies New families of ‘breakthrough’ sensors, based on anultra-low power architectureare optimized for use in compact wireless devices. These sensors offer a richer set of functionalities and can be combined to create new insights (sensor fusion). One of the greatest challenges facing developers of these small form-devices is power consumption. Aware of these limitations, hardware manufacturers have been working hard to address them. Integrated circuit designs and techniques are now using less power while smart processing capabilities are enabling the sensors to intelligently manage sensing functionalities,delivering ultra-low power performance for best-in-class power consumption. The use of advanced Low Energy Bluetooth and wireless protocols (e.g. Bluetooth Low Energy (BLE) or ZigBee Green Power) also allows the transmission of data to the gateway more efficiently compared to prior solutions, opening new possibilities for developers. Big Data, Analytics, Machine Learning and Edge computing are picking up the pace The explosion in data volume and diversity is forcing organizations to rethink the way they process the information. Indeed, capturing, sending and processing the information in the cloud can be taxing for the network, the storage and the computing infrastructures which demands more processing power, hence the need to keep the transmission window as short as possible. This has led to the development of advanced devices capable of collecting, processing and storing data autonomously before the data is sent to the servers. This concept is calledEdge computing. By reducing the need for data to be streamed through the networks, diminishing computing and processing costs,Edge computing contributes to optimizing power performance, whilst delivering quality data in a more sustainable way. The rise of DevOps and new IoT Device Management platforms are contributing to better efficiency and better devices The rise ofDevOpshas been swift. Derived from Development and Operations, ‘DevOps’ teams are responsible for making sure that the infrastructure is being maintained properly.With the help of IoT Device Management platforms—which are a central part of today’s IoT ecosystems— DevOps teams can better manage, scale and operate their fleet of devices remotely and reduce long-term operational costs.One of the areas that benefits from the rise of DevOps implementation is power supply optimization, as more efficient protocols such as Lightweight Machine to Machine (LwM2M) allow for device and battery monitoring, remote device actions and faster communication. Harvesting technologies are becoming more effective Power harvesting technologies include processes where energy from ambient sources such as the sun, temperature, movement or wind, is captured and stored to power wireless autonomous devices. Now gaining experience,harvesting technologies can exploit natural resources better than ever before. As a result,the gap between the power requirements of embedded systems and the energy generated by energy harvesting systems is finally closing. Industrial applications for these technologies are still very limited, but coupled to efficient rechargeable batteries, they can present new opportunities for devices deployed in wild remote areas. Power optimization tools are becoming increasingly exhaustive and reliable Battery optimization is everyone's business and needs to be considered throughout the overall system performance analysis, from prototyping to deployment and on toward maintenance cycles. Several innovating tools haveappeared on the market over the past few years and developers have now access toa rich ecosystem of tools to analyze their overall system performance. Wisebatt for Saft for example can help creating a virtual prototype and simulate its consumption.Deutsche Telekom’s IoT Solution Optimizergoes even further. You can model the complete system to identify potential energy consumption issues or leaks. The system can not only recommend the right combination of power saving features based on your use case, but also can help you visualize how communication payload size, protocol use and communication frequency impact your battery life. When at the prototype stage,Qoitec Otii solution measures in real time the consumption of your device at various temperatures, up to the measurement of the firmware and hardware operations without the need for expensive testing. These tools are constantly enhanced and improved to deliver better analysis and more accurate data. With an increased awareness from IoT developers of the stakes of power consumption and the growing rate of low-power innovations, batteries are now able to outlive the devices they’re in. This opens the doors tomany new markets and applications and above all to more sustainable consumption patterns. When we told you the future looks bright, we weren’t joking!

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.

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Industrial IoT, IoT Security

Key IoT Security Certifications to Boost Your Career in IoT Industry

Article | July 12, 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.

Read More
IoT Security

Revealing IoT Security Realities in Device Interlinking Era

Article | July 17, 2023

Explore the emerging complexities of IoT data governance with 7 key challenges to tackle. Address data privacy, security, and ethical concerns, empowering your business for success in 2023 and beyond. Contents 1 The Case for Maintaining IoT Data Governance 2 Challenges of IoT Data Governance 2.1 Lack of Organizational Commitment 2.2 Data Privacy Concerns 2.3 Lack of Endpoint Security for IoT Devices 2.4 Issues with IoT Device Authentication 2.5 Increasing Volume of Unstructured Data 2.6 Unethical Use of IoT Data 2.7 Inadequate Data Governance Protocols 3 Addressing IoT Data Governance Challenges 3.1 Security by Design 3.2 Awareness Initiatives 3.3 Standardized Data Governance Policies 4 Conclusion 1 The Case for Maintaining IoT Data Governance The growing use of IoT devices across various industries has caused a surge in data volume. Most of these devices store sensitive company data, which plays a crucial role in business operations but can have dire consequences if it falls into the wrong hands. Thus, companies need to understand what is IoT governance and its implementation to safeguard sensitive data from unauthorized access and malicious exploitation. 2 Top Challenges in IoT Data Governance for Businesses 2.1 Lack of Organizational Commitment Organizational commitment is essential for effective IoT data governance. There needs to be a clear purpose and goals regarding data governance that are communicated to all stakeholders. Not focusing on organizational commitment can result in a lack of alignment between the organization's goals and the IoT data governance strategy, as well as uncertainty about ownership and accountability for data governance across the organization. 2.2 Data Privacy Concerns Ensuring data privacy is a significant concern when implementing IoT data management to maintain IoT data governance security. With the vast amount of data generated by IoT devices, there is an increased risk of personal and sensitive data being compromised. Therefore, it is crucial to identify potential vulnerabilities, mitigate the risk of data privacy breaches in IoT environments, and anonymize user data for consumer devices. 2.3 Lack of Endpoint Security for IoT Devices IoT devices are often designed with limited processing power and memory, and as such, many connected devices do not have built-in security features. This makes them attractive targets for hackers seeking to access confidential data or disrupt operations. Without proper endpoint security measures, IoT devices can be compromised, leading to data breaches, network downtime, and other security incidents that can compromise the entire system's integrity. 2.4 Issues with IoT Device Authentication When IoT devices are designed without proper authentication mechanisms, it can be challenging to verify their identities. This results in possible unauthorized access, data breaches, and other security incidents. To supplement IoT data management practices, companies must implement secure authentication protocols specifically designed for IoT environments, such as device certificates, digital signatures, and multi-factor authentication, to maintain IoT data governance. 2.5 Increasing Volume of Unstructured Data IoT devices generate vast amounts of data in various formats and structures, including text, images, audio, and video, which can be difficult to process, manage, and analyze. This data is often stored in different locations and formats, making it challenging to ensure quality and consistency. Moreover, this flood of unstructured data can contain sensitive information that must be protected to comply with regulations and standards. For effective IoT data governance, it is necessary to implement data classification, metadata management, and data quality management to make sense of unstructured data. 2.6 Unethical Use of IoT Data IoT devices collect data that can be sensitive and personal, and misuse can lead to various negative consequences. Data from IoT devices can be used to develop insights, but it must be handled carefully to avoid privacy violations, discrimination, or other negative consequences. Ensuring data ethics requires organizations to consider the potential impacts of their data collection and use practices on various stakeholders. This involves addressing issues such as data privacy, data ownership, transparency, and bias in IoT data analytics. 2.7 Inadequate Data Governance Protocols Without proper data governance protocols, IoT data may be inaccurate, incomplete, or difficult to access or analyze, reducing the effectiveness of IoT systems and limiting the potential benefits they can provide. Additionally, inadequate data governance protocols can lead to security and privacy vulnerabilities, potentially exposing sensitive data to unauthorized access or theft. This can result in legal and regulatory penalties, reputational damage, and a loss of customer trust. 3 Addressing IoT Data Governance Challenges 3.1 Security by Design This approach involves integrating security and governance considerations into the design and development of IoT systems from the outset. This helps minimize vulnerabilities, prevent breaches that may compromise the confidentiality, integrity, and availability of IoT data, and help maintain IoT data governance. In addition, by prioritizing security in the design phase, organizations can implement security controls and features tailored to their IoT systems' specific needs, which can help prevent unauthorized access, manipulation, or theft of IoT data. 3.2 Awareness Initiatives IoT data governance challenges can arise due to an improperly trained workforce that may not recognize the purpose and benefits of data governance practices. Awareness initiatives can help organizations develop a culture of security and privacy. These initiatives can educate employees and stakeholders about the risks and best practices associated with IoT data governance, including the importance of data security, privacy, and ethical considerations. By raising awareness of these issues, organizations can promote a culture of responsible data management, encourage stakeholders to adhere to data governance policies and procedures, and reduce the risk of human error or intentional misconduct that could compromise IoT data. 3.3 Standardized Data Governance Policies Collaboration between local, regional, and federal governments and businesses is essential to establishing frameworks for implementing IoT and related technologies within their jurisdictions. Cooperation between governments and enterprises is crucial for implementing a standardized IoT data governance policy. This will protect end-users by mandating basic standards in procurement processes and creating regulations and guidelines that promote responsible data governance. 4 IoT Data Governance: Future Outlook Data is one of the most valuable resources for organizations today, and addressing the problem of IoT data governance will ensure that the IoT of enterprises is used effectively and responsibly. Straits Research reported that the worldwide data governance market had a worth of USD 2.1 billion in 2021 and is projected to reach an estimated USD 11.68 billion by 2030. IoT devices are a key driving factor behind the growth of the data governance market, and as the amount of data generated and the number of devices grows, so will the complexity of data governance. By maintaining strong data governance policies and tracking changes in policies and best practices, businesses can ensure compliance and maintain trust in the long run.

Read More
Enterprise Iot

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

Article | May 11, 2023

2022 looks bright for power optimization! The vibrant research and development in Internet of Things (IoT) is fueling the expansion of wireless monitoring solutions and enabling giant leaps in terms of low-power design. A longer lifetime for your batteries, and thus for your device, is a dream about to come true. We have gathered some of the most notable power optimization trends that are getting us all excited for 2022… 5G, the next era of broadband cellular networks will offer improved power saving capabilities The next wave of wider 5G cellular technology is designed to support various new highly challenging industrial use cases. These usually require increased hardware complexity and more processing, together with higher processing power. These requirements can raise power consumption quite significantly. Smart power consumption and energy efficiency are thus becoming keys for the success of these applications and 5G technology.To that extent, 5G New Radio (NR) has progressed swiftly. The new 3GPP™ release is designed to significantly improve the performance, flexibility, scalability, and efficiency of current mobile networks. Improved power saving features now allow IoT developers to get the most out of the available battery capacity. This could make all the difference for new IoT use cases and efficiencies. A new generation of sensors are optimized for low power technologies New families of ‘breakthrough’ sensors, based on anultra-low power architectureare optimized for use in compact wireless devices. These sensors offer a richer set of functionalities and can be combined to create new insights (sensor fusion). One of the greatest challenges facing developers of these small form-devices is power consumption. Aware of these limitations, hardware manufacturers have been working hard to address them. Integrated circuit designs and techniques are now using less power while smart processing capabilities are enabling the sensors to intelligently manage sensing functionalities,delivering ultra-low power performance for best-in-class power consumption. The use of advanced Low Energy Bluetooth and wireless protocols (e.g. Bluetooth Low Energy (BLE) or ZigBee Green Power) also allows the transmission of data to the gateway more efficiently compared to prior solutions, opening new possibilities for developers. Big Data, Analytics, Machine Learning and Edge computing are picking up the pace The explosion in data volume and diversity is forcing organizations to rethink the way they process the information. Indeed, capturing, sending and processing the information in the cloud can be taxing for the network, the storage and the computing infrastructures which demands more processing power, hence the need to keep the transmission window as short as possible. This has led to the development of advanced devices capable of collecting, processing and storing data autonomously before the data is sent to the servers. This concept is calledEdge computing. By reducing the need for data to be streamed through the networks, diminishing computing and processing costs,Edge computing contributes to optimizing power performance, whilst delivering quality data in a more sustainable way. The rise of DevOps and new IoT Device Management platforms are contributing to better efficiency and better devices The rise ofDevOpshas been swift. Derived from Development and Operations, ‘DevOps’ teams are responsible for making sure that the infrastructure is being maintained properly.With the help of IoT Device Management platforms—which are a central part of today’s IoT ecosystems— DevOps teams can better manage, scale and operate their fleet of devices remotely and reduce long-term operational costs.One of the areas that benefits from the rise of DevOps implementation is power supply optimization, as more efficient protocols such as Lightweight Machine to Machine (LwM2M) allow for device and battery monitoring, remote device actions and faster communication. Harvesting technologies are becoming more effective Power harvesting technologies include processes where energy from ambient sources such as the sun, temperature, movement or wind, is captured and stored to power wireless autonomous devices. Now gaining experience,harvesting technologies can exploit natural resources better than ever before. As a result,the gap between the power requirements of embedded systems and the energy generated by energy harvesting systems is finally closing. Industrial applications for these technologies are still very limited, but coupled to efficient rechargeable batteries, they can present new opportunities for devices deployed in wild remote areas. Power optimization tools are becoming increasingly exhaustive and reliable Battery optimization is everyone's business and needs to be considered throughout the overall system performance analysis, from prototyping to deployment and on toward maintenance cycles. Several innovating tools haveappeared on the market over the past few years and developers have now access toa rich ecosystem of tools to analyze their overall system performance. Wisebatt for Saft for example can help creating a virtual prototype and simulate its consumption.Deutsche Telekom’s IoT Solution Optimizergoes even further. You can model the complete system to identify potential energy consumption issues or leaks. The system can not only recommend the right combination of power saving features based on your use case, but also can help you visualize how communication payload size, protocol use and communication frequency impact your battery life. When at the prototype stage,Qoitec Otii solution measures in real time the consumption of your device at various temperatures, up to the measurement of the firmware and hardware operations without the need for expensive testing. These tools are constantly enhanced and improved to deliver better analysis and more accurate data. With an increased awareness from IoT developers of the stakes of power consumption and the growing rate of low-power innovations, batteries are now able to outlive the devices they’re in. This opens the doors tomany new markets and applications and above all to more sustainable consumption patterns. When we told you the future looks bright, we weren’t joking!

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.

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Spotlight

Atmosic Technologies

Atmosic™ Technologies is an innovative fabless semiconductor company, designing ultra-low power wireless solutions to dramatically reduce and disrupt device dependency on batteries, aiming to deliver forever battery life and the battery free connected Internet of Things. The company’s products enable the IoT device ecosystem—designers and manufacturers, as well as end users and those responsible for deployments—to dramatically lower costs and efforts associated with maintaining the growing Internet of Things in Personal, Home, Auto, Healthcare, Industrial, Enterprise and Smart Cities segments. In addition to these tangible business advantages, Atmosic aims to reduce ecological impacts with its vision of dramatically reduced battery consumption in the Internet of Things.

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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.

Read More

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.

Read More

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

Read More

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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