Implications for Organizational Structure - How Smart, Connected Products Are Transforming Companies

September 28, 2015 | 76 views

PTC President and CEO and co-author of How Smart, Connected Products Are Transforming Companies, introduces the impact of IoT on the organizational structure of companies: new forms of cross-functional collaboration and entirely new functions are emerging.

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Semiconductor Research Corporation

For the past three decades SRC has consistently been a semiconductor industry leader, providing collaborative pre-competitive research that benefits the semiconductor industry, the nation and the world.

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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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ENTERPRISE IOT

Evolution of Industry: IIoT a Vital Component

Article | June 2, 2022

Introduction Automation, interconnectivity, machine-learning, and real-time data are part of Industry 4.0, a new phase in the Industrial Revolution. Industry 4.0, which includes IIoT and smart manufacturing, combines physical production and operations with smart digital technologies. It creates a more holistic and linked environment for manufacturing and supply chain management organizations. In today's production environment, "automation" has a new, more advanced meaning than it has in the past. Industry 4.0 refers to the necessity of lean, efficient operations and the function of sustaining and improving production. In contrast, IIoT distinguishes manufacturing gadgets from consumer products that can connect wirelessly to internal networks and the internet. IIoT Powering the Fourth Industrial Revolution Manufacturing, logistics, oil and gas, transportation, mining, aviation, energy, and other industries use the IIoT. Its main goal is to improve operations, mainly through process automation and maintenance. IIoT capabilities improve asset performance and allow for improved maintenance management. The introduction of Industry 4.0 technologies marked a significant milestone in the human-machine relationship's history. I4.0 was first talked about in 2011. Since then, it has proliferated because of new technologies such as cyber-physical systems, IT/OT convergence, AI/ML, Blockchain, and AR/VR. Data is at the heart of the Fourth Industrial Revolution. The growth of the Internet of Things (IoT) is one of the main reasons behind this. The IoT is making a significant contribution in making businesses smarter and improving their workflows. Moreover, more data is being made and used by connected devices than ever before, from the home to the factory. In order to thrive in the fourth industrial revolution, businesses must embrace new technologies. The general structure of IIoT applications is defined by standards-based industrial system architectures such as the Industrial Internet Consortium's Reference Architecture. Sensors and IoT devices, IoT middleware platforms, IoT gateways, edge/cloud infrastructures, and analytics applications are all part of the stack. The Future of the IIoT The Industrial Internet of Things (IIoT) is primarily regarded as one of the most significant current and future trends influencing industrial companies. To comply with new rules, industries are rushing to upgrade their systems, machinery, and equipment. This is necessary to keep up with market volatility and deal with disruptive technologies. Safety, efficiency, and profitability have all improved dramatically in industries that have adopted IIoT. As IIoT technologies become more widely adopted, this tendency is projected to continue. Conclusion The fourth industrial revolution has drastically altered our perceptions of things in the workplace. At a rapid rate, capitalists are becoming more interested in sophisticated ideas. The way forward is to embrace existing and emerging technology throughout fundamental operations to unleash more enticing possibilities. It emphasizes the importance of comprehending the impact collaborative ecosystems can have as well as how they will become a major differentiator for generating value with a better-trained workforce.

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What are IoT devices and how are they used across various industries?

Article | May 26, 2022

Introduction We live in a world where technology is becoming more and more intertwined with our daily lives. It’s no longer just our laptops, smartphones, and tablets connected to the internet – now, our homes, cars, and even our clothes can be too. This interconnectedness is made possible by the internet of things (IoT), a network of physical objects equipped with sensors and software that allow them to collect and exchange data. IoT devices have the potential to transform the way we live and work. They can make our lives more convenient and help us be more efficient. IoT devices can also help us to save money and to improve the quality of our lives. IoT devices are devices that are connected to the internet and can collect, send, and receive data. They can be anything from fitness trackers to industrial machines. IoT devices are used across a variety of industries, and they are becoming more and more commonplace. At [x]cube LABS, we have helped global enterprises deliver great value to their consumers with IoT devices, and in this blog post, we will talk about how IoT devices are used in different industries. Additionally, we will give some examples of IoT devices that are being used in each industry. Healthcare IoT devices are being used in healthcare to provide better patient care and to improve the efficiency of healthcare organizations. IoT devices can be used to monitor patients’ vital signs, track their medication adherence, and collect data about their health. IoT devices can also be used to provide remote patient monitoring, track medical equipment, and support clinical research. There are many different types of IoT devices that are being used in healthcare. Some of the most common types of IoT devices that are being used in healthcare include wearable devices, such as fitness trackers and smartwatches; medical devices, such as pacemakers and insulin pumps; and hospital equipment, such as IV pumps and ventilators. All these devices collect data that can be used to improve patient care and make healthcare organizations more efficient. Manufacturing IoT devices are being used in manufacturing to improve the efficiency of production lines and to reduce the amount of waste. IoT devices can be used to track the production of products, monitor the condition of machinery, and control the flow of materials. IoT devices can also be used to provide data about the quality of products and to improve the safety of workers. One of the most common types of IoT devices that are being used in manufacturing is the industrial sensor. Industrial sensors are used to monitor the production of products, the condition of machinery, and the flow of materials. Industrial sensors can also be used to provide data about the quality of products and to improve the safety of workers. The availability of data from industrial sensors is helping manufacturers to improve the efficiency of production lines and to reduce the amount of waste. Retail IoT devices are being used in retail to improve the customer experience and increase sales. IoT devices can be used to track inventory, provide customer loyalty programs, and collect data about customer behavior. IoT devices can also be used to provide personalized recommendations, targeted promotions, and real-time customer support. IoT devices are changing the retail sector in a number of ways. One of the most important ways that IoT devices are changing retail is by providing retailers with real-time data about their customers’ behavior. This data allows retailers to provide a more personalized shopping experience. IoT devices are also being used to improve the efficiency of retail operations, such as inventory management and customer loyalty programs. Transportation IoT devices are being used in transportation to improve the safety of drivers and reduce traffic congestion. IoT devices can be used to monitor the condition of vehicles, track their location, and control their speed. IoT devices can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. One of the most common types of IoT devices that are being used in transportation is the GPS tracker. GPS trackers are used to monitor the location of vehicles, and they can be used to track the speed and movement of vehicles. GPS trackers can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. Agriculture Agriculture has become increasingly reliant on IoT devices in recent years. IoT devices are being used in agriculture to improve the yield of crops and to reduce the amount of water and fertilizer that is used. IoT devices can be utilized to monitor the condition of crops, track the location of farm animals, and control the flow of irrigation water. These innovations are helping farmers to increase the yield of their crops and to reduce the amount of water and fertilizer that is used. The data collected by IoT devices is also helping farmers to make more informed decisions about planting, irrigation, and crop maintenance. Smart Homes Smart homes are becoming increasingly popular, and IoT devices are the backbone of these systems. IoT devices are being used in homes to improve the security of the home, reduce energy consumption, and improve the quality of life. They can be used to monitor the condition of the home, track the location of family members, and control the operation of home appliances. What’s more, IoT devices can also provide data about the quality of the air, which can be used to improve the efficiency of home security systems. In the future, IoT devices will become an integral part of the smart home, and they will be used to control a wide variety of home appliances and systems. Aviation The aviation industry is making use of IoT devices to a great extent. The aviation sector is one of the most heavily regulated industries in the world, and IoT devices are being used to improve the safety of passengers and crew members. IoT is changing the aviation industry by providing data that can be used to improve the safety of pilots and passengers. IoT devices can be used to monitor the condition of aircraft, track their location, and control their speed. IoT devices can also be used to provide data about weather conditions and to improve the efficiency of aviation operations, which can ultimately lead to lower airfare prices. Energy The energy sector is also utilizing IoT for a variety of applications. One way that IoT is changing the energy sector is by providing data that can be used to improve the efficiency of energy production and consumption. They are being used to improve the efficiency of power generation and distribution. IoT devices can be used to monitor the condition of power plants, track the location of power lines, and control the flow of electricity. By using IoT devices to monitor and optimize the power grid, energy companies can reduce the amount of power that is wasted and ultimately lower energy bills for consumers. Conclusion IoT devices are changing the world in a number of ways. They are providing data that can be used to improve the efficiency of operations in a variety of industries, from retail to transportation to agriculture. It is likely that IoT devices will become an increasingly important part of our lives in the future due to the efficiency and data that they can provide.

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Beyond 2022: The Future of IoT Device Management

Article | May 17, 2022

Understanding the Impact of IoT Device Management The Internet of Things (IoT) industry is growing exponentially, with the potential to become limitless. The current range of existing and potential Internet of Things devices is in itself quite enormous. This also gives businesses an opportunity to pay more attention to the newest technologies. In ascenario with rapidly increasing numbers of devices, manual management of devices becomes close to impossible, laced with human errors. Moreover, keeping an eye on hundreds of devices one by one to make sure they work the way they should is not an easy task to undertake. Businesses at the outset of IoT adoption are most often unaware of why they require a device management platform.This is precisely why a device management platform is so crucial.It can effectively connect toall of theconnected devices and get the required information from them in the right way. An effective device management platform can turn out to be the vital aspect that will define the success of any small or large IoT implementation project. Such a platform would ideally allow organizations to manage their internet-connected devices remotely. "If you think that the internet has changed your life, think again. The IoT is about to change it all over again!" — Brendan O'Brien, Chief Architect & Co-Founder, Aria Systems. Why Do Organizations Need an IoT Device Management Platform? An effective IoT device management platform offers simplified provisioning, centralized management, and real-time insights into all existing devices and integrations to help organizations stay on top of their deployment. Device management platforms help you keep a check on the growing number of devices while keeping errors at bay, with your growing number of connected devices. It would ensure that you have a clear dashboard and an alerting system as an effective supporting system. In addition, getting involved with IoT device management platforms can also help you in a number of other ways. It acceleratestime-to-market and helps reduce costs The management platform enables secure device on and offboarding It also streamlines network monitoring and troubleshooting IoT simplifies deployment and management of downstream applications It mitigates security risks Evaluating the Future of IoT Device Management It is predicted that the world will have more than 100 billion IoT-connected devices by 2050. The future potential of the IoT is limitless, and the potential is not about enabling billions of devices together but leveraging the enormous volumes of actionable data thatcan automate diverse business processes. Critical Aspects of the IoT's Future The critical aspects of IoT predictionsare fast impacting several categories all across the globe, ranging from consumer to industrial. IoT Companies and a Circular Economy IoT firms are assisting in the development of a future with less waste, more energy efficiency, and increased personal autonomy. A connected device system, on the other hand, must be feedback-rich and responsive, and activities must be linked via data in order to be sustainable. Ways to achieve a responsive and actionable system include: Extending the use cycle with predictive maintenance. Increasing utilization and reducing unplanned downtime. Looping the asset for reuse, remanufacture, or recycle. Common Billing and Revenue Challenges We are currently moving toward a future where everything from cars to household machines and home security will be sold by manufacturers as subscription services. This will result in organizations selling IoT subscriptions looking for new ways to managebilling and revenue for their business model. Service diversity Data monetization Complex stakeholder network Cost management Cohesive IoT Deployment Strategy for the C-suite With the future of IoTon its way to becoming the most disruptive innovation and compelling technology that will facilitate better services to customers, from a support perspective, being connected remotely with customers' devices offers considerable advantages to service organizations. However, this is also not a new concept; earlier, large organizations and data storage companies were remotely connected to their client systems using dedicated telecommunications links before the commercialization of the internet. Using the estimates of the exponential rise in connected devices, the IoT offers a wide array of opportunities to effectively improve the industry, such as: Consumer activity tracking includes in-store applications that assess traffic flow and purchase choices. Manufacturing, storage, distribution, and retail operations have been optimized to increase productivity and reduce waste. Energy, inventory, and fleet assets are all used more efficiently. Improved situational awareness, such as vehicle warning systems Enhanced decision-making, such as medical equipment that notifies doctorswhen a patient's health changes. Self-parking and self-driving automobiles are examples of autonomous systems. An interesting case study with Michelin showed that they were adding sensors to tires to better understand wear over time. This data is important for clients to know when to rotate or replace tires which saves them money and enhances safety. However, this also implies Michelin can move away from selling tires and instead lease them. Because sensor data will teach the corporation how to maintain the tires, Michelin now has a new economic incentive to have tires last as long as feasible. IoT device management plays a crucial role in effectively accumulating and processing data from all the widely distributed IoT sensors. Conclusion As more sectors discover the advantages linked machines can bring to their operations, IoT enterprises have a bright future ahead of them. Newer services are steadily being pushed out on top of IoT infrastructure in industries ranging from healthcare to retail, telecommunications, and even finance. Due to increasing capacity and AI, service providers will move deeper into IT and web-scale industries, enabling whole new income streams as IoT device management platforms adapt to address these obstacles. FAQ Why Is Device Management Crucial for the IoT? An IoT device management platform's features may help you save time and money and increase security while also providing the critical monitoring and management tools you need to keep your devices up-to-dateand optimized for your unique application requirements. What Impact Will the IoT Have on the Management or Administration Sectors? IoT technology allows for increased collaboration, but it will also free up your team's time from monotonous and isolating duties. For example, routine chores may be encoded into computers, freeing up time to concentrate on higher-order tasks. What Are the Basic Requirements for IoT Device Management? The four essential needs for IoT Device Management are as follows. Authentication and provisioning Configuration and Control. Diagnostics and monitoring Updating and maintaining software.

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For the past three decades SRC has consistently been a semiconductor industry leader, providing collaborative pre-competitive research that benefits the semiconductor industry, the nation and the world.

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LF Edge Releases Industry-Defining Edge Computing White Paper to Accelerate Edge/ IoT Deployments

LF Edge | June 28, 2022

LF Edge, an umbrella organization under the Linux Foundation that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, today announced continued ecosystem collaboration via a new collaborative white paper, "Sharpening the Edge II: Diving Deeper into the LF Edge Taxonomy & Projects." A follow-up to the LF Edge community's original, collaborative 2020 paper – which provides an overview of the organization and details the LF Edge taxonomy, high level considerations for developing edge solutions and key use cases, – the new publication dives deeper into key areas of edge manageability, security, connectivity and analytics, and highlights how each project addresses these areas. The paper demonstrates maturation of the edge ecosystem and how the rapidly growing LF Edge community has made great progress over the past two years towards building an open, modular framework for edge computing. As with the first publication, the paper addresses a balance of interests spanning the cloud, telco, IT, OT, IoT, mobile, and consumer markets. "With the growing edge computing infrastructure market set to be worth up to $800B by 2028, our LF Edge project communities are evolving, This paper outlines industry direction through an LF Edge community lens. With such a diverse set of knowledgeable stakeholders, the report is an accurate reflection of a unified approach to defining open edge computing." Jason Shepherd, VP Ecosystem, ZEDEDA and former LF Edge Governing Board Chair "I'm eager to continue to champion and spearhead the great work of the LF Edge community as the new board chair," said Tina Tsou, new Governing Board chair, LF Edge. "The Taxonomy white paper that demonstrates the accelerated community momentum seen by open source edge communities is really exciting and speaks to the power of open source." The white paper, which is now available for download, was put together as the result of broad community collaboration, spanning insights and expertise from subject matter experts across LF Edge project communities: Akraino, EdgeX Foundry, EVE, Fledge, Open Horizon, State of the Edge, Alvarium, Baetyl, eKuiper, and FIDO Device Onboard. ONE Summit North America 2022 Join the broader open source ecosystem spanning Networking, Edge, Access, Cloud and Core at ONE Summit North America, November 15-16 in Seattle, Wash. ONE Summit is the one industry event focused on best practices, technical challenges, and business opportunities facing decision makers across integrated verticals such as 5G, Cloud, Telco, and Enterprise Networking, as well as Edge, Access, IoT, and Core. The Call for Proposals is now open through July 8, 2022. Sponsorship opportunities are also available. About The Linux Foundation Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world's leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation's projects are critical to the world's infrastructure including Linux, Kubernetes, Node.js, and more. The Linux Foundation's methodology focuses on leveraging best practices and addressing the needs of contributors, users and solution providers to create sustainable models for open collaboration.

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Kontron's KBox A-151-TGL for IoT edge and AI applications

Kontron | June 28, 2022

A new industrial computer in box PC style, the KBox A-151-TGL, will be unveiled by Kontron, a top provider of IoT/Embedded Computing Technology (ECT), at embedded world 2022. The KBox A-151-TGL, which is based on 11th Gen Intel CoreTM or Celeron processors, provides adequate processing capability, even for demanding IoT edge or AI applications. As a unique feature, the system incorporates an expansion slot on the front (I/O Door) that may be used to add fieldbuses, graphical interfaces, serial or digital I/Os, and Ethernet interfaces, among other functionalities, to the KBox A-151-TGL. Additionally, the system can be upgraded to support WiFi 6, 4G/5G, or both. Particularly for demanding IoT gateway applications in industrial settings, the KBox A-151-TGL was created. The new box PC assists OEM manufacturers and system integrators in realizing the full potential of their IoT infrastructures. It is based on the 11th Gen Intel® CoreTM i3-1115G4E, i5-1145GRE/i5-1145G7, or i7-1185GRE/i7-1185G7E or the Intel Celeron processor 6305E with up to four processing cores and 4.4 GHz (burst) each. The high-end Intel Iris Xe graphics with 96 execution units, which users can use for taxing AI or IoT edge applications, are another feature of this generation's CoreTM i7 and CoreTM i5 processors. The new KBox A-151-TGL has four USB 3.2 ports and two RS232/422/485 interfaces in addition to two DisplayPorts and two Gigabit Ethernet interfaces, one of which is a 2.5 GbE interface with TSN capabilities. The three M.2 expansion slots can be utilized to add a variety of features to the system, including NVMe SSD integration, fieldbus integration, and wireless technology integration, including 4G/5G or even WiFi 6 connectivity. The new expansion slot (I/O Door) on the system's front provides access to the majority of system expansions. Even in difficult industrial situations, the fanless, robust system architecture ensures a long service life and high system availability. The KBox A-151-TGL can be used in the temperature range of 0 °C to +50 °C or, at the user's discretion, in the additional extended temperature range of -40 °C to +65 °C. The KBox A-151-TGL can be mounted on a wall or on a DIN rail, making it simple to integrate into a variety of industrial environments.

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Sternum Becomes NXP Marketplace's First Real-Time IoT Security and Observability Solution

Sternum | June 27, 2022

One of the top producers and biggest markets for embedded controllers in the world, NXP Semiconductors, has announced that Sternum, a pioneer in autonomous IoT security and observability, has joined the community of software partners. Through this partnership, NXP-dependent IoT device manufacturers will be able to easily incorporate Sternum's proprietary security and visibility capabilities into their products. With a CPU overhead of around three percent during the DD process, Sternum's Embedded Integrity Verification was able to neutralize the assaults that NXP researchers had tried. Sternum is seen as an important addition to NXP products because it effectively addresses the growth in remote runtime assaults on connected devices. According to P&S Intelligence, the embedded security industry will reach more than $10 billion by the end of the current decade. The graph shows an increase in demand for safeguarding against exploitation and the proliferation of cyber-physical systems and increasingly ubiquitous linked devices in both consumer and business markets. IoT devices are transforming entire industries and have become a significant security vulnerability for businesses since they frequently lack visibility and protection. Without proactive security controls, businesses are forced to spend limitless amounts of money fixing vulnerabilities, which forces them to look for alternative solutions. With the help of Sternum's universal IoT platform, a new world where fleets of connected devices may be easily, seamlessly, and autonomously observed at the edge, is created. The patented technology is designed to detect the general signatures of several attack exploitations, including command injection and buffer overflow attacks, and to stop the intrusion attempts in real-time, defending the device's runtime integrity against both zero-day and one-day attacks. This method offers total defense against a variety of CWEs (Common Weakness Enumerations) and promotes a proactive IoT security paradigm, eliminating the need to spend money on reactive patching to catch up with hackers. "NXP's microcontrollers power devices that will work as the mission-critical backbone of entire industries and cities. We are thrilled to be collaborating with NXP to secure the future of digital transformation and ensure zero-trust from device to cloud. Our products offer companies a unique degree of protection against the most dangerous attack types, and significantly reduce the cost of security-related maintenance, and we are excited to see them used to promote innovation on a global scale," Natali Tshuva, CEO and Co-Founder of Sternum Sternum provides businesses with a comprehensive solution for all RTOS and Linux-operated devices, covering the distinct sector needs of IoT device-level protection and visibility in the medical, industrial 4.0, smart cities, energy, and beyond. Furthermore, Sternum's proprietary technology, based on dynamic code analysis, anomaly detection, and runtime integrity verification, supports a "shift-left" technique by giving developers the resources they need to spot security issues before they are deployed when they are less expensive to fix.

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LF Edge Releases Industry-Defining Edge Computing White Paper to Accelerate Edge/ IoT Deployments

LF Edge | June 28, 2022

LF Edge, an umbrella organization under the Linux Foundation that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, today announced continued ecosystem collaboration via a new collaborative white paper, "Sharpening the Edge II: Diving Deeper into the LF Edge Taxonomy & Projects." A follow-up to the LF Edge community's original, collaborative 2020 paper – which provides an overview of the organization and details the LF Edge taxonomy, high level considerations for developing edge solutions and key use cases, – the new publication dives deeper into key areas of edge manageability, security, connectivity and analytics, and highlights how each project addresses these areas. The paper demonstrates maturation of the edge ecosystem and how the rapidly growing LF Edge community has made great progress over the past two years towards building an open, modular framework for edge computing. As with the first publication, the paper addresses a balance of interests spanning the cloud, telco, IT, OT, IoT, mobile, and consumer markets. "With the growing edge computing infrastructure market set to be worth up to $800B by 2028, our LF Edge project communities are evolving, This paper outlines industry direction through an LF Edge community lens. With such a diverse set of knowledgeable stakeholders, the report is an accurate reflection of a unified approach to defining open edge computing." Jason Shepherd, VP Ecosystem, ZEDEDA and former LF Edge Governing Board Chair "I'm eager to continue to champion and spearhead the great work of the LF Edge community as the new board chair," said Tina Tsou, new Governing Board chair, LF Edge. "The Taxonomy white paper that demonstrates the accelerated community momentum seen by open source edge communities is really exciting and speaks to the power of open source." The white paper, which is now available for download, was put together as the result of broad community collaboration, spanning insights and expertise from subject matter experts across LF Edge project communities: Akraino, EdgeX Foundry, EVE, Fledge, Open Horizon, State of the Edge, Alvarium, Baetyl, eKuiper, and FIDO Device Onboard. ONE Summit North America 2022 Join the broader open source ecosystem spanning Networking, Edge, Access, Cloud and Core at ONE Summit North America, November 15-16 in Seattle, Wash. ONE Summit is the one industry event focused on best practices, technical challenges, and business opportunities facing decision makers across integrated verticals such as 5G, Cloud, Telco, and Enterprise Networking, as well as Edge, Access, IoT, and Core. The Call for Proposals is now open through July 8, 2022. Sponsorship opportunities are also available. About The Linux Foundation Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world's leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation's projects are critical to the world's infrastructure including Linux, Kubernetes, Node.js, and more. The Linux Foundation's methodology focuses on leveraging best practices and addressing the needs of contributors, users and solution providers to create sustainable models for open collaboration.

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ENTERPRISE IOT

Kontron's KBox A-151-TGL for IoT edge and AI applications

Kontron | June 28, 2022

A new industrial computer in box PC style, the KBox A-151-TGL, will be unveiled by Kontron, a top provider of IoT/Embedded Computing Technology (ECT), at embedded world 2022. The KBox A-151-TGL, which is based on 11th Gen Intel CoreTM or Celeron processors, provides adequate processing capability, even for demanding IoT edge or AI applications. As a unique feature, the system incorporates an expansion slot on the front (I/O Door) that may be used to add fieldbuses, graphical interfaces, serial or digital I/Os, and Ethernet interfaces, among other functionalities, to the KBox A-151-TGL. Additionally, the system can be upgraded to support WiFi 6, 4G/5G, or both. Particularly for demanding IoT gateway applications in industrial settings, the KBox A-151-TGL was created. The new box PC assists OEM manufacturers and system integrators in realizing the full potential of their IoT infrastructures. It is based on the 11th Gen Intel® CoreTM i3-1115G4E, i5-1145GRE/i5-1145G7, or i7-1185GRE/i7-1185G7E or the Intel Celeron processor 6305E with up to four processing cores and 4.4 GHz (burst) each. The high-end Intel Iris Xe graphics with 96 execution units, which users can use for taxing AI or IoT edge applications, are another feature of this generation's CoreTM i7 and CoreTM i5 processors. The new KBox A-151-TGL has four USB 3.2 ports and two RS232/422/485 interfaces in addition to two DisplayPorts and two Gigabit Ethernet interfaces, one of which is a 2.5 GbE interface with TSN capabilities. The three M.2 expansion slots can be utilized to add a variety of features to the system, including NVMe SSD integration, fieldbus integration, and wireless technology integration, including 4G/5G or even WiFi 6 connectivity. The new expansion slot (I/O Door) on the system's front provides access to the majority of system expansions. Even in difficult industrial situations, the fanless, robust system architecture ensures a long service life and high system availability. The KBox A-151-TGL can be used in the temperature range of 0 °C to +50 °C or, at the user's discretion, in the additional extended temperature range of -40 °C to +65 °C. The KBox A-151-TGL can be mounted on a wall or on a DIN rail, making it simple to integrate into a variety of industrial environments.

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SOFTWARE AND TOOLS

Sternum Becomes NXP Marketplace's First Real-Time IoT Security and Observability Solution

Sternum | June 27, 2022

One of the top producers and biggest markets for embedded controllers in the world, NXP Semiconductors, has announced that Sternum, a pioneer in autonomous IoT security and observability, has joined the community of software partners. Through this partnership, NXP-dependent IoT device manufacturers will be able to easily incorporate Sternum's proprietary security and visibility capabilities into their products. With a CPU overhead of around three percent during the DD process, Sternum's Embedded Integrity Verification was able to neutralize the assaults that NXP researchers had tried. Sternum is seen as an important addition to NXP products because it effectively addresses the growth in remote runtime assaults on connected devices. According to P&S Intelligence, the embedded security industry will reach more than $10 billion by the end of the current decade. The graph shows an increase in demand for safeguarding against exploitation and the proliferation of cyber-physical systems and increasingly ubiquitous linked devices in both consumer and business markets. IoT devices are transforming entire industries and have become a significant security vulnerability for businesses since they frequently lack visibility and protection. Without proactive security controls, businesses are forced to spend limitless amounts of money fixing vulnerabilities, which forces them to look for alternative solutions. With the help of Sternum's universal IoT platform, a new world where fleets of connected devices may be easily, seamlessly, and autonomously observed at the edge, is created. The patented technology is designed to detect the general signatures of several attack exploitations, including command injection and buffer overflow attacks, and to stop the intrusion attempts in real-time, defending the device's runtime integrity against both zero-day and one-day attacks. This method offers total defense against a variety of CWEs (Common Weakness Enumerations) and promotes a proactive IoT security paradigm, eliminating the need to spend money on reactive patching to catch up with hackers. "NXP's microcontrollers power devices that will work as the mission-critical backbone of entire industries and cities. We are thrilled to be collaborating with NXP to secure the future of digital transformation and ensure zero-trust from device to cloud. Our products offer companies a unique degree of protection against the most dangerous attack types, and significantly reduce the cost of security-related maintenance, and we are excited to see them used to promote innovation on a global scale," Natali Tshuva, CEO and Co-Founder of Sternum Sternum provides businesses with a comprehensive solution for all RTOS and Linux-operated devices, covering the distinct sector needs of IoT device-level protection and visibility in the medical, industrial 4.0, smart cities, energy, and beyond. Furthermore, Sternum's proprietary technology, based on dynamic code analysis, anomaly detection, and runtime integrity verification, supports a "shift-left" technique by giving developers the resources they need to spot security issues before they are deployed when they are less expensive to fix.

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