Enterprise Iot
Article | July 20, 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.
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IoT Security
Article | June 27, 2023
Internet of Things, generally known as IoT, is a network of objects or things. Embedded sensors help connect and exchange data with other objects via the internet. IoT is often related to the concept of smart homes, including devices like home security systems, cameras, lighting, refrigerators, etc. With all this data being transmitted over the internet, it is easy for the data to be modified, deleted, or stolen, which can lead to an invasion, theft, etc.
IoT forensics plays a vital role in maintaining the integrity and security of the data being transmitted. Join us as we explore this fascinating web of devices and how you can get started in this vibrant field of forensics.
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IoT Security
Article | July 5, 2023
The Internet of Things (IoT) and Industrial Internet of Things (IIoT) markets have experienced explosive growth as a result of the digital industrial revolution that followed the COVID-19 epidemic. To fully benefit, however, organizations have had to handle security concerns associated with these revolutionary technologies. Therefore, finding the correct security strategy is crucial for any organization because of the increasing dependency on IoT and IIoT to manage essential business systems.
IoT and IIoT can be implemented quickly, but they come with inherent vulnerabilities. This risks businesses from cyberthreats such as device theft, spoofing, denial of service attacks, and data breaches or siphoning. Attacks of this nature adversely affect an organization's operations, finances, safety, and reputation.
Many IoT and IIoT devices have passwords hard-coded into their firmware, making it challenging to patch or update security, which is a significant problem. Even when security is deployed on a device, it can usually be bypassed by taking advantage of a variety of known weaknesses. As a result, IT teams may find it challenging to identify an occurrence when IoT or IIoT devices are compromised before affecting systems and data.
Mitigating IoT and IIoT Security Risks
Separate IIoT and wireless devices from the SCADA or ICS network. Micro-segmentation allows only authorized device connectivity in certain circumstances.
Control network access by monitoring what connects and validating each device's security.
Demand visibility across all enterprise security networks and devices. This should be centralized so all devices, networks, risks, traffic, and policies can be handled in real-time across production and IT environments.
Use an intrusion protection system (IPS) to identify threats and patch IoT and IIoT devices virtually. Counter unexpected attacks with active protection and deception techniques.
It's crucial to check that security solutions can grow automatically to meet business requirements before using them. This entails responding to network changes, foreseeing risks and controlling them proactively, and offering real-time threat intelligence.
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Enterprise Iot
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.
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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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