Why IoT Isn’t Reaching Its Potential

Industrial IoT, IoT Security

Article | July 11, 2023

Explore the events on IoT security, addressing to the complex cyber security challenges and privacy issues. It caters to a variety of attendees including industrialists, students and enthusiasts. The significance of IoT security cannot be overstated in today's interconnected business landscape. Safeguarding sensitive data and mitigating risks is paramount, making robust IoT security a non-negotiable imperative for organizations seeking to thrive in the digital age. From industry professionals seeking to expand their knowledge to builders and buyers in the market, these events provide a comprehensive platform to learn, connect, and discover the possibilities of scaling with IoT. Attendees can connect with buyers, sellers, and innovators, fostering meaningful connections and exploring potential business opportunities. At these industrial IoT conferences 2023 and beyond, attendees can immerse themselves in a vibrant atmosphere of innovation and collaboration. 1. IoT Tech Expo September 26-27, 2023 | RAI (AMSTERDAM) The IoT Tech Expo Europe is a prominent event that serves as a platform for exploring the latest innovations, solutions, and strategies in the field of IoT, digital twins, enterprise transformation, IoT security, and edge platforms. It promises two days of top-level content and thought leadership discussions. Industry experts, including keynote speakers and panelists, will share their unparalleled industry knowledge, real-life experiences, and insights through solo presentations, expert panel discussions, and in-depth fireside chats. Some of the key sessions will include panel discussions on staying on track with digital twins, examining their pitfalls across industries, and exploring the incorporation of other technologies like AI, ML, and Blockchain for agile processes. Notable speakers in this domain include Bruno Ávila, i-Team Director - Digital Urban Planning Lab, City of Amsterdam; Ben Lomax Thorpe, Head of Digital Twin, among others. Additionally, the event showcases success stories and case studies from organizations leading the way in digitalization and IoT implementation. 2. International Conference on the Internet of Things November 7-10, 2023 | Nagoya (Japan) This event brings together leading researchers, industry experts, and stakeholders in the IoT field. This conference serves as a platform for visionary and groundbreaking research, fostering innovation in various IoT verticals such as smart industry, smart cities, smart health, and smart environment. The 13th International Conference on the Internet of Things (IoT 2023) will include keynote speeches, research presentations, panel discussions, and interactive sessions. It will provide a platform for sharing visionary ideas, ground-breaking research findings, and innovative solutions in the realm of IoT and related fields. Nagoya, the host city for IoT 2023, will offer a captivating setting for the conference. With a focus on visionary research and innovation, the conference provides a platform for knowledge sharing, collaboration, and exploration of IoT advancements in various verticals. 3. 9th Annual IoT Security Foundation Conference November 7, 2023 | IET (London) The 9th Annual IoT Security Foundation Conference is a highly regarded event dedicated to IoT cybersecurity. With the increasing prominence of artificial intelligence in various industries, this year's conference will focus on the impact of AI on cybersecurity, exploring its implications for developers and cyber defenders at the forefront of the field. The call for presentations is currently open, inviting submissions on a wide range of IoT security-related themes till July 14th, 2023, with notifications of acceptance to be sent by August 18th, 2023. By participating in the IoTSF 2023 Conference, sponsors and exhibitors gain exposure within the IoT security community and can forge new customer relationships, generate leads, establish partnerships, and strengthen existing customer connections. The conference will cover a range of themes, including business, technical, operational, educational, and policy-related topics. Proposals are invited on these subjects, offering speakers an opportunity to contribute to the diverse interests of conference attendees. 4. ETSI IoT Conference 2023 (ETSI IoT Week 2023) July 4-6, 2023 | Sophia Antipolis (France) ETSI, the European Telecommunications Standards Institute, is organizing its annual flagship event, the ETSI IoT Conference. The conference, ' IoT Technologies for Green and Digital Transformation,' is a must-attend event for professionals involved in the Internet of Things, recognizing the significance of standard-enabled technologies for IoT service deployments. It provides a valuable platform for attendees to learn and share experiences related to IoT technologies, services, activities, and requirements, focusing on current and future standardization efforts. The 2023 edition of the conference will feature a combination of keynote speeches, presentations, interactive panels, and IoT demonstrations, creating ample networking opportunities for participants. The event will revolve around three main areas: IoT for the digital and green transformation, IoT technologies, and horizontal IoT standards for various vertical business sectors. The ETSI IoT Conference is particularly relevant for organizations and stakeholders interested in the service and operational aspects of IoT, including industry representatives, SMEs, research and development institutions, academia, decision and policy makers, as well as users of IoT standards such as cities, governments, and societal actors. 5. 4th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) August 26-27, 2023 | Dubai (UAE) The 4th International Conference on Big Data, Machine Learning, and IoT serves as a major platform for presenting innovative ideas, developments, research projects, and approaches in the domains of big data, machine learning, and the internet of things. This event includes but is not limited to big data techniques, models, and algorithms; infrastructure and platforms for big data; search and mining in big data; security, privacy, and trust in big data. Authors are invited to submit original papers by July 01, 2023, through the conference's submission system. Additionally, selected outstanding papers will have the opportunity to be considered for publication in renowned journals such as the International Journal of Database Management Systems (IJDMS), the International Journal of Data Mining & Knowledge Management Process (IJDKP), and others. The event will provide an excellent opportunity for researchers, industry professionals, and practitioners to explore the latest advancements, share knowledge, and foster collaborations in the dynamic fields of big data, machine learning, and IoT. 6. 28th Australasian Conference on Information Security and Privacy (ACISP 2023) July 5-7, 2023 | Brisbane (Australia) The 28th Australasian Conference on Information Security and Privacy (ACISP 2023) is an event in the field of cybersecurity and privacy, bringing together researchers, practitioners, and industry experts from Australasia and around the world. This conference will serve as a platform to exchange innovative ideas, research findings, and advancements in information security and privacy. ACISP 2023 focuses on addressing the evolving challenges and emerging trends in the field, providing a forum for discussing theoretical and practical aspects of IoT security risks. Participants have the opportunity to present their research papers, engage in enlightening discussions, and network with professionals in the industry. The conference covers a wide range of topics related to information security and privacy, including cryptographic protocols and algorithms, security in emerging technologies, intrusion detection and prevention. 7. The Things Conference September 21-22, 2023 | Amsterdam (Netherlands) The Things Conference is dedicated to LoRaWAN, attracting thousands of professionals and enthusiasts worldwide. This highly anticipated gathering will serve as a hub for the entire LoRaWAN ecosystem, offering a unique opportunity to meet key players, gain valuable insights into the IoT industry, and explore the expanding LPWAN market. The event showcases a diverse range of LoRaWAN enabled security IoT devices and gateways at the Wall of Fame, where participants can interact with and experience first-hand the latest products from over 100 partners. The conference program features an impressive line-up of speakers from prominent companies such as Blues, Miromico, ELSYS, TagoIO, Edge Impulse, and more. Attendees can benefit from engaging keynotes, insightful workshops, interactive side sessions, case studies, and value-driven stories. These sessions cover various aspects of LoRaWAN, offering attendees valuable knowledge and practical guidance. One of the highlights of The Things Conference is The Things Certifications, which allow participants to showcase their expertise. Final Thoughts The conferences help industry experts, IT professionals, engineers, and decision-makers to gain insights and in-depth knowledge. Attendees can expect a comprehensive program consisting of keynote presentations, panel discussions, case studies, and interactive workshops. The above events will cover various topics, concerning the IoT security. Participating in these will provide networking opportunities, allowing attendees to connect with peers, share experiences, and establish valuable business connections. Leaders can stay updated with the evolving data center landscape and gain a competitive edge in their evolving technologies, to provide protection against threats.

Enterprise Iot

Article | July 20, 2023

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.

IoT Security

Article | July 17, 2023

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.

Article | April 16, 2020

Tech companies are stepping up Internet of Things technologies to protect against COVID-19 and future viruses by using LiDAR and infrared cameras to detect a person’s body temperature from a distance or even handwashing. Keeping the data secure in such detection is also going to be a challenge. One approach is to put a chip inside an IoT device when it is manufactured to enable strong authentication and secure communication, mainly to guard against device counterfeiting. Hitachi Vantara has touted forward looking infrared cameras (FLIR) cameras to detect the temperature of a person from a distance. That way a passenger on a train or a worker or a customer in a store can be non-intrusively screened, according to a blog from Mark Jules, global vice president of smart spaces and video intelligence.