Enterprise Iot
Article | August 3, 2022
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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Enterprise Iot, Software and Tools, Platforms
Article | May 18, 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
Article | July 19, 2022
Three out of four IoT projects are considered a failure, according to Cisco. This is troubling but even more so when Cisco also found 61 per cent of companies say they believe they’ve barely begun to scratch the surface of IoT can do for their business? Businesses believe in the long-term value offered by integrating IoT into their business plan, however, they lack the knowledge of what is required to ensure the success of such a complex project. By studying past failed projects, technology leaders can gain a better understanding of why they failed and what they can do differently when evaluating and undertaking new IoT initiatives.
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Enterprise Iot, Infrastructure
Article | May 31, 2023
Discover the crucial role of big data capabilities in unlocking the potential of IoT for businesses. This article covers their synergy, challenges, and value in decision-making and revenue generation.
Contents
1 Why Big Data and IoT Matter for Businesses
2 Understanding Synergy of Big Data and IoT
2.1 How IoT generates Big Data
2.2 Challenges of Processing Big Data from IoT Devices
2.3 Importance of Big Data in IoT Applications
3 The Value of Big Data and IoT for Businesses
3.1 Improved Decision-making for Businesses
3.2 Generate New Revenue Streams
4 Final Thoughts
1. Why Big Data and IoT Matter for Businesses
The internet of things (IoT) is connecting all types of physical assets to the internet, from smart wearables that track wearer’s vitals to connected industrial units that can report any malfunctions automatically. Big data in IoT is a natural outcome with the growth of IoT devices, with an immense surge in the amount of data being generated.
There are currently over 13 billion connected IoT devices worldwide.
(Source – Techjury)
This data is extremely valuable to businesses as it can help streamline operations, predict trends, and diagnose device issues. Certain functions of IoT devices that are crucial for modern businesses, such as enabling predictive maintenance, depend on the analysis of the data generated every second. However, to maximize the ROI from their IoT ecosystem, businesses must first manage and process the vast amounts of unstructured data they produce. This is where big data capabilities come in.
2. Understanding Synergy of Big Data and IoT
Big data and the IoT are fundamentally different concepts, but are closely connected. Big data is a term that is used for a great amount of data that is characterized by volume, velocity, variety and veracity (or the ‘trustworthiness’ of data). The IoT is a term for physical devices or objects linked to the internet using an assortment of technologies. Understanding the synergy between these two technologies will be critical for businesses looking to leverage their full potential.
2.1 How IoT generates Big Data
IoT is one of the primary drivers of big data growth. The vast number of interconnected devices in the IoT ecosystem generates a massive amount of data every second. This data includes information on user behavior, device performance, and environmental conditions, among others.
The nature of this data makes it challenging to store, process, and analyze using traditional data management tools. This is where big data technologies such as Hadoop, Spark, and NoSQL databases come in, providing the ability to manage massive amounts of data in near-real-time, enabling critical applications of big data in IoT. For businesses, processing IoT data is synonymous with processing big data, due to the nature of the data generated by an IoT ecosystem.
2.2 Challenges of Processing Big Data from IoT Devices
IoT data processing is a complex and challenging task due to several reasons. Firstly, the sheer volume of data generated by these devices is enormous and is only increasing. This requires a robust infrastructure and specialized tools to store, manage, and analyze the data efficiently.
This data is also generally unstructured, heterogeneous, and complex, making it difficult to process using traditional data management and analysis techniques. Moreover, it is often noisy and may contain errors or outliers, which can impact the accuracy of data analysis. Businesses also face a challenge when securing such vast amounts of data. Since IoT devices collect sensitive information such as personal and financial data at scale, it is critical to ensure that data is encrypted, transmitted securely, and stored safely.
Additionally, IoT devices often operate in remote locations with limited connectivity, making it challenging to transmit data to the cloud for storage and analysis. As IoT devices continue to proliferate and generate increasingly large amounts of data, businesses must adopt big data technologies to gain actionable insights from this data.
2.3 Importance of Big Data in IoT Applications
There are several use cases of the IoT where processing large amounts of data is essential. It plays a critical role in IoT applications, providing businesses with valuable insights that can be used to optimize processes, reduce costs, and improve overall efficiency. By collecting and analyzing large amounts of data from IoT devices, businesses can gain a better understanding of customer behavior, machine performance, and other critical metrics.
For example, big data in IoT can be used to identify patterns in customer behavior, allowing businesses to tailor their marketing efforts and improve customer engagement. Additionally, IoT devices can be used to collect data on machine performance, allowing businesses to identify potential problems before they occur, minimize downtime, and optimize maintenance schedules. The value of big data in IoT applications lies in its ability to provide businesses with real-time insights that can be used to drive growth, reduce costs, and improve overall efficiency.
3. The Value of Big Data and IoT for Businesses
Businesses looking to integrate big data in IoT must first consider their data storage and analytics capabilities. By understanding the value of big data technology in capturing and analyzing IoT-generated data, businesses can unlock insights that can help them make better decisions, optimize processes, and create new business opportunities.
3.1 Improved Decision-making for Businesses
IoT and big data technologies offer businesses a wealth of data that can be used to make better-informed decisions. By integrating IoT sensors and devices with their operations, businesses can collect real-time data on customer behavior, operational performance, and market trends. This data can then be analyzed using big data analytics tools to generate valuable insights that can inform decision-making.
For example, operational data can be analyzed to identify inefficiencies and areas for optimization, helping businesses reduce costs and improve efficiency. With the right data storage and analytics capabilities, businesses can leverage the power of IoT and big data to gain a competitive advantage and make better-informed decisions that drive growth and success.
3.2 Generate New Revenue Streams
By leveraging the vast amount of data generated by IoT devices and analyzing it with big data analytics tools, businesses can gain insights into customer behavior, market trends, and operational performance. These insights can be used to create new revenue streams and business models, such as subscription-based services, pay-per-use models, and predictive maintenance services.
For example, IoT sensors can be used to collect data on equipment performance, allowing businesses to offer predictive maintenance services that help prevent equipment breakdowns and reduce downtime. Similarly, customer data can be analyzed to identify new revenue opportunities, such as personalized product recommendations and targeted advertising. With the right strategy and investment in IoT and big data technologies, businesses can unlock new revenue streams and create innovative business models that drive growth and success.
4. Final Thoughts
Big data in IoT is becoming increasingly important for businesses, and the future prospects are bright. As IoT continues to grow and generate more data, businesses that can effectively analyze it will gain a competitive advantage, leading to increased efficiency, reduced costs, and higher ROI. To fully realize the benefits of IoT, businesses must develop big data analytics and IoT devices in tandem, creating a feedback loop that drives continuous improvement and growth. By embracing these technologies, businesses can make data-driven decisions and unlock new insights that will help them thrive in the years ahead.
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