The Internet of Things (IoT) has transformed the way we interact with technology. With the rise of voice assistants such as Alexa, Siri, and Google Assistant, voice-enabled IoT applications have become increasingly popular in recent years. Voice-enabled IoT applications have the potential to revolutionize the way we interact with our homes, workplaces, and even our cars. In this article, we will explore the benefits and challenges of voice-enabled IoT applications and their potential for the future.

Voice-enabled IoT applications allow users to control various smart devices using their voice. These devices include smart speakers, smart TVs, smart thermostats, and smart lights, to name a few. By using voice commands, users can turn on the lights, adjust the temperature, play music, and even order food without having to touch any buttons or screens. This hands-free approach has made voice-enabled IoT applications popular among users of all ages, from children to seniors.

One of the significant benefits of voice-enabled IoT applications is their convenience. With voice commands, users can control their smart devices while they are doing other tasks, such as cooking, cleaning, or exercising. This allows for a more seamless and efficient experience, without having to interrupt the task at hand. Additionally, voice-enabled IoT applications can be customized to suit individual preferences, allowing for a more personalized experience.

Another significant benefit of voice-enabled IoT applications is their potential for accessibility. For people with disabilities, voice-enabled IoT applications can provide an easier and more natural way to interact with their devices. By using their voice, people with limited mobility or vision can control their devices without having to rely on buttons or screens. This can improve their quality of life and independence.

However, there are also challenges associated with voice-enabled IoT applications. One of the significant challenges is privacy and security. As voice-enabled IoT applications are always listening for voice commands, they can potentially record and store sensitive information. Therefore, it is crucial for developers to implement strong security measures to protect users' privacy and prevent unauthorized access.

Another challenge is the potential for misinterpretation of voice commands. Accidental triggers or misinterpretation of voice commands can result in unintended actions, which can be frustrating for users. Additionally, voice-enabled IoT applications can struggle to understand certain accents, dialects, or languages, which can limit their accessibility to non-native speakers.

Despite these challenges, the potential for voice-enabled IoT applications is vast. In addition to smart homes, voice-enabled IoT applications can be used in a wide range of industries, including healthcare, retail, and transportation. In healthcare, voice-enabled IoT applications can be used to monitor patients' health conditions and provide real-time feedback. In retail, voice-enabled IoT applications can provide personalized shopping experiences and assist with inventory management. In transportation, voice-enabled IoT applications can be used to provide real-time traffic updates and navigation.

In conclusion, voice-enabled IoT applications have become increasingly popular in recent years, providing a more convenient and accessible way for users to interact with their devices. While there are challenges associated with voice-enabled IoT applications, their potential for revolutionizing various industries is vast. As technology continues to evolve, the future of voice-enabled IoT applications is sure to be exciting and full of potential

Wearable devices, such as smartwatches, fitness trackers, and health monitors, have become increasingly popular in recent years. These devices are designed to be worn on the body and can measure various physiological parameters, such as heart rate, blood pressure, and body temperature. Wearable devices can also track physical activity, sleep patterns, and even detect falls and accidents.

Body sensor networks (BSNs) take the concept of wearables to the next level. BSNs consist of a network of wearable sensors that can communicate with each other and with other devices. BSNs can provide real-time monitoring of multiple physiological parameters, making them useful for a range of applications, including medical monitoring, sports performance monitoring, and military applications.

Smart portable devices, such as smartphones and tablets, are also an essential component of the IoT ecosystem. These devices are not worn on the body, but they are portable and connected to the internet, allowing for seamless communication and data transfer. Smart portable devices can be used for a wide range of applications, such as mobile health, mobile banking, and mobile commerce.

The development of wearables, BSNs, and smart portable devices requires a unique set of skills and expertise, including embedded engineering. Embedded engineers are responsible for designing and implementing the hardware and software components that make these devices possible. Embedded engineers must have a deep understanding of electronics, sensors, microcontrollers, and wireless communication protocols.

One of the significant challenges of developing wearables, BSNs, and smart portable devices is power consumption. These devices are designed to be small, lightweight, and portable, which means that they have limited battery capacity. Therefore, embedded engineers must design devices that can operate efficiently with minimal power consumption. This requires careful consideration of power management strategies, such as sleep modes and low-power communication protocols.

Another challenge of developing wearables, BSNs, and smart portable devices is data management. These devices generate large volumes of data that need to be collected, processed, and stored. The data generated by these devices can be highly sensitive and may need to be protected from unauthorized access. Therefore, embedded engineers must design devices that can perform efficient data processing and storage while providing robust security features.

The communication protocols used by wearables, BSNs, and smart portable devices also present a significant challenge for embedded engineers. These devices use wireless communication protocols, such as Bluetooth and Wi-Fi, to communicate with other devices and the internet. However, the communication range of these protocols is limited, which can make it challenging to establish and maintain reliable connections. Embedded engineers must design devices that can operate efficiently in environments with limited communication range and intermittent connectivity.

Finally, the user interface and user experience of wearables, BSNs, and smart portable devices are critical for their success. These devices must be easy to use and intuitive, with a user interface that is designed for small screens and limited input methods. Embedded engineers must work closely with user experience designers to ensure that the devices are user-friendly and provide a seamless user experience.

We all know how IoT has revolutionized the way we interact with the world. IoT devices are now ubiquitous, from smart homes to industrial applications. A significant portion of these devices are Wireless Sensor Networks (WSNs), which are a key component of IoT systems. However, designing and implementing WSNs presents several challenges for embedded engineers. In this article, we discuss some of the significant challenges that embedded engineers face when working with WSNs.

WSNs are a network of small, low-cost, low-power, and wirelessly connected sensor nodes that can sense, process, and transmit data. These networks can be used in a wide range of applications such as environmental monitoring, healthcare, industrial automation, and smart cities. WSNs are typically composed of a large number of nodes, which communicate with each other to gather and exchange data. The nodes are equipped with sensors, microprocessors, transceivers, and power sources. The nodes can also be stationary or mobile, depending on the application.

One of the significant challenges of designing WSNs is the limited resources of the nodes. WSNs are designed to be low-cost, low-power, and small, which means that the nodes have limited processing power, memory, and energy. This constraint limits the functionality and performance of the nodes. Embedded engineers must design WSNs that can operate efficiently with limited resources. The nodes should be able to perform their tasks while consuming minimal power to maximize their lifetime.

Another challenge of WSNs is the limited communication range. The nodes communicate with each other using wireless radio signals. However, the range of the radio signals is limited, especially in indoor environments where the signals are attenuated by walls and other obstacles. The communication range also depends on the transmission power of the nodes, which is limited to conserve energy. Therefore, embedded engineers must design WSNs that can operate reliably in environments with limited communication range.

WSNs also present a significant challenge for embedded engineers in terms of data management. WSNs generate large volumes of data that need to be collected, processed, and stored. However, the nodes have limited storage capacity, and transferring data to a centralized location may not be practical due to the limited communication range. Therefore, embedded engineers must design WSNs that can perform distributed data processing and storage. The nodes should be able to process and store data locally and transmit only the relevant information to a centralized location.

Security is another significant challenge for WSNs. The nodes in WSNs are typically deployed in open and unprotected environments, making them vulnerable to physical and cyber-attacks. The nodes may also contain sensitive data, making them an attractive target for attackers. Embedded engineers must design WSNs with robust security features that can protect the nodes and the data they contain from unauthorized access.

The deployment and maintenance of WSNs present challenges for embedded engineers. WSNs are often deployed in harsh and remote environments, making it difficult to access and maintain the nodes. The nodes may also need to be replaced periodically due to the limited lifetime of the power sources. Therefore, embedded engineers must design WSNs that are easy to deploy, maintain, and replace. The nodes should be designed for easy installation and removal, and the network should be self-healing to recover from node failures automatically.

Final thought; WSNs present significant challenges for embedded engineers, including limited resources, communication range, data management, security, and deployment and maintenance. Addressing these challenges requires innovative design approaches that can maximize the performance and efficiency of WSNs while minimizing their cost and complexity. Embedded engineers must design WSNs that can operate efficiently with limited resources, perform distributed data processing and storage, provide robust security features, and be easy to deploy

The concept of human-centric sensing has its roots in the early development of IoT. In the early stage, the focus was on creating a network of connected devices that could collect and share data to automate tasks and improve efficiency. However, as the technology evolved, there was a growing recognition that the goal of IoT should be to enhance human well-being and quality of life.

The idea of human-centric sensing gained prominence in the mid-2000s when researchers and developers began to explore the potential of IoT for creating more personalized and context-aware experiences. They recognized that by using sensors and other devices to collect data about human behavior, preferences, and interactions with their environment, they could create systems that were more responsive to individuals' needs.

As the technology continued to develop, there was a growing emphasis on creating systems that were designed with human needs and experiences in mind. This led to the emergence of new approaches to human-computer interaction, such as affective computing, which seeks to create systems that can recognize and respond to human emotions.

Today, human-centric sensing is a central concept in the design and development of IoT applications. It is used in a wide range of applications, from smart homes and wearable devices to healthcare and public safety. As the technology continues to evolve, it is likely that human-centric sensing will play an increasingly important role in shaping the future of IoT.

There are several types of human-centric sensing that are commonly used in the development of IoT applications. Here are some examples:

5. Environmental sensing: This type of sensing involves collecting data about the environment, such as temperature, humidity, and air quality. It can be used to create systems that adjust lighting, heating, and cooling based on human preferences.
6. Biometric sensing: Biometric sensing involves collecting data about a person's physical characteristics, such as heart rate, blood pressure, and activity levels. It is commonly used in wearable devices for health and fitness monitoring.
7. Emotion sensing: Emotion sensing involves collecting data about a person's emotional state, such as facial expressions and tone of voice. It is used in applications such as virtual assistants and customer service to provide more personalized and empathetic interactions.
8. Social sensing: Social sensing involves collecting data about human interactions and social networks. It can be used to create systems that provide personalized recommendations and facilitate social connections. 
9. Contextual sensing: Contextual sensing involves collecting data about a person's surroundings, such as location and time of day. It can be used to create systems that provide more personalized and context-aware experiences, such as location-based recommendations.

Overall, human-centric sensing is about designing IoT systems that are more responsive to human needs and experiences. By collecting and analyzing data about human behavior and interactions with their environment, developers can create systems that are more personalized, efficient, and user-friendly.

IoT-based supply chains, where Internet of Things (IoT) devices and sensors are used to monitor and optimize the movement of goods and products, have the potential to revolutionize the supply chain industry. However, these systems are not without their challenges and there are several factors that can cause them to break down.

One of the main reasons IoT-based supply chains break is due to connectivity issues. The devices and sensors that make up these systems rely on a stable and reliable network connection to transmit data. If the connection is weak, unstable, or interrupted, the devices may not be able to communicate with each other, leading to delays and disruptions in the supply chain. This can cause a ripple effect throughout the entire supply chain, impacting delivery times, inventory levels, and ultimately customer satisfaction.

Another issue that can cause IoT-based supply chains to break is the lack of standardization in IoT technology. Different IoT devices and sensors may use different protocols and standards, which can make it difficult to integrate them into a cohesive system. This can lead to data silos, where information is trapped in specific devices or systems and cannot be easily accessed or shared with other parts of the supply chain. This lack of interoperability can create inefficiencies and delays in the supply chain, as well as limit the overall effectiveness of the IoT-based system.

Data security is another critical issue that can cause IoT-based supply chains to break. The vast amount of data generated by IoT devices and sensors can be a goldmine for hackers and cybercriminals. If these systems are not properly secured, they can be vulnerable to cyberattacks that can compromise sensitive information, such as trade secrets, customer data, and financial information. A security breach can not only disrupt the supply chain, but also damage the reputation and financial stability of the company.

Finally, the human factor can also contribute to the breakdown of IoT-based supply chains. Despite the advanced technology used in these systems, they still require skilled and knowledgeable human operators to manage and interpret the data. If these operators lack the proper training or experience, they may not be able to identify and address issues in the system in a timely manner, leading to delays and disruptions.

In conclusion, while IoT-based supply chains offer significant advantages in terms of efficiency, visibility, and cost savings, they are not immune to challenges and issues. Connectivity issues, lack of standardization, data security, and the human factor can all contribute to the breakdown of these systems. To ensure the success of an IoT-based supply chain, it is important to address these challenges through careful planning, implementation, and ongoing maintenance and monitoring.

The Internet of Things continues to expand with no sign of slowing down. It’s in hospitals, cars, factories, and household appliances. Smart Homes are increasing in popularity, especially for new home construction. Smart energy grids are reducing the load on sustainable energy sources and increasing public safety. At the current rate of growth, there may be 30 billion IoT devices or more online by 2030, according to some sources.

We’re seeing this rapid development drive low-code trends. IoT development is increasingly about maximizing efficiency and reducing cost, and low-code platforms are a proven way to do that.

Getting the Most Out of IoT
IoT networks can be data-rich environments. Smart buildings, smart factories, smart power grids, and smart cities generate complex data streams. Custom applications that can make sense out of this dense tangle of information are in high demand. Companies that can build custom dashboards and apps quickly are poised to reap the most out of the growing spread of the IoT.

Low-code platforms help software developers build custom apps faster and more securely by streamlining common tasks and providing a focused environment. These platforms can relieve developers of the burden of repetitive code production. They help to eliminate simple flaws like syntax errors and typos that prevent a smooth rollout. They include state-of-the-art security modules that protect users and help maintain code consistency between projects.

By leveraging the power of low-code platforms, developers can focus on other important features of the app, like the client experience and user interface.

Streamlining Dynamic Development
Soluntech and other developers depend on low-code platforms to generate pre-built blocks of code for standard functions. These code blocks may go by a variety of terms depending on the platform, like widgets, modules, or tasks. Developers can use their own code, build new modules/widgets, and add industry-specific features, depending on the platform.

Low-code platforms offer a number of ways to streamline and manage workflow. Most of them include drag-and-drop tools, a visual work environment, and pre-built frameworks and templates. Some platforms can auto-generate a framework based on a project description.

Many features, such as a social intranet, enhance collaboration. Platforms may include a forum or a marketplace where developers can discuss features or share code they have created.

Some low-code platforms can be configured to run in no-code mode. This extends the reach of these platforms for use by citizen developers. These individuals may be knowledgeable professionals or stakeholders that have little or no traditional programming experience. The no-code option lets them assemble working customized apps that can be immediately deployed.

Popular Low-Code Platforms for IoT
There are a variety of low-code platforms available to help developers build and automate IoT networks for clients. Some platforms are designed for certain types of users and markets and may include options and connectivity features that are industry-specific. Here are some of the most common platforms for IoT developers.

Vantiq
Vantiq is a robust, scalable low-code platform used in a variety of industries including oil production, telecom networks, secure installations, energy distribution, and more. It features real-time processing and event-driven architecture, and it includes AI-enhanced features to aid automation and workflow. It can be deployed as a cloud-based service, at the network edge, or as a hybrid platform.

Vantiq is designed to integrate a wide range of IoT devices. This includes traditional business resources, sensors, digital video streams, and more. It includes robust analysis and visualization tools that make it suitable for managing many resources.

Softbank uses the Vantiq platform for smart city management. Store Intelligence uses it for updating product prices, and labels, and providing frontline workers with real-time data.

Mendix
Mendix is a feature-rich low coding platform from an established company. It is a cloud-native application available as a service on the cloud. Deployment options include public and private cloud networks and workstation installations.

Mendix includes workflow-streamlining features for professional developers and a social intranet for collaboration. Developers can build an app from scratch or use prebuilt code and tools in a drag-and-drop, visual development environment with ample templates, widgets, and other helpful features.

Mendix is one of the few low-code programming platforms that can be installed on a workstation and operated independently from the cloud. Another unique Mendix feature is the ability for developers to edit mobile applications on their mobile devices.

Like Vantiq, Mendix can network and automate a wide variety of IoT devices, making it suitable for many different businesses and organizations. Mendix customers include a diverse range of companies like Washington Federal Bank, Siemens, and Rolls Royce.

OutSystems
OutSystems includes many features and options similar to Mendix.

OutSystems can integrate with more than 400 resources. Developers can network a wide variety of IoT data sources and sensor inputs. Like Mendix and other low-code platforms, OutSystems includes an extensible visual workspace, drag-and-drop tools, and collaborative features.

OutSystems can build custom dashboards and apps like customer portals, chatbots, voice-assisted systems, and more. It is used by a large number of corporations, including Medtronic, Wodify Technologies, and Mercedes-Benz.

BudiBase
BudiBase is an open-source low-code platform that lets users create custom dashboards and business applications for project management, custom CRM, and more. It includes free templates to aid workflow and connects to a wide range of data sources.

Users can build apps using prebuilt code blocks or use code blocks they prepare themselves. They can build and run automated services, auto-generate forms, and access a variety of online resources.

The open-source architecture of Budibase makes it a popular low-code platform for many organizations. Clients of Budibase include the Bulgarian government, Covanta, a waste-to-energy and resource management company, and Schnellecke Logistics.

Image: https://pixabay.com/photos/software-developer-web-developer-6521720/

Caspio
Caspio is a no-code/low-code cloud-based platform designed to create scalable online databases. It includes robust data import and export features, role-based access control, and more.

Caspio users can create an app with no code, and seasoned programmers can add code for customizing and extending features. Caspio includes analysis tools that give users options like trigger events and workflow automation. It is ideal for creating custom CRM apps, knowledge bases, customer portals, and similar tasks.

Caspio’s clients include companies as diverse as Honda, Yale University, and DHL.

Datacake
Datacake is a low-code platform designed for remote management and monitoring of smart homes, smart factories, and similar smart installations. It includes a widget-based drag-and-drop visual development environment that is suitable for a wide range of users and projects. It offers easy integration with third-party apps, real-time monitoring, data visualization, and automated data collecting.

Datacake runs on a secure cloud-based platform. It serves businesses including Kappa Data and Alpha-Omega Technology, a LoRaWAN network integrator.

The Best Fit
The IoT offers enormous opportunities for businesses and individuals to create and deploy custom apps with unique features.

If you’re searching for a low-code platform to aid the development of custom interfaces, dashboards, and apps for your clients, examine each platform carefully. Make sure the platform offers the range and flexibility that stakeholders require. Review the typical clients of the platform, and check out test cases, if available. With adequate research you can find a low-code or no-code platform that serves your needs, eases the burden on your developers, and helps you create apps that hit all your target requirements.

Some say that if World War III breaks out, it will be fought in cyberspace. As IoT systems gather more and more under the “umbrella” of the network, security has never been more important to various user groups. From the traffic lights that play an important role in our urban traffic to the power system that provides energy for them, to the management and monitoring systems that keep cars running well, security in the use of networks and devices has become the basis and basis of modern communication devices and systems. necessary condition. Providing solid security in the online world is no easy task. Security is one of the very few scientific and technological means that must be confronted with external forces to achieve overdue results. What is more complicated is that these external forces can break through the defense line time after time through traditional and innovative means. Because of the many potential attack methods, information and network security has become an attractive and challenging topic, which is closely related to enterprises, industries and life.

For decades, the information technology (IT) environment has been very active and the hardest hit area for attacks and threats, which has also allowed IT to grow rapidly. In contrast, the operational technology (OT) environment is relatively traditional and closed, and the connection methods and channels between devices and the network are very limited. Therefore, compared with IT, OT records relatively fewer attack events, but its learning opportunities Countermeasures are also relatively scarce. But security in the OT world tends to have a broader security scope than IT. For example, in OT, security is almost equivalent to safety. In fact, the connected security standards of IIoT also incorporate the safety of equipment and people. This installment will focus on common challenges facing OT security.

The erosion problem of network architecture. The main issues facing the protection of industrial environments are initial design and ongoing maintenance. The original design concept stems from a premise that the network itself is safe, because it is isolated on the physical level of the enterprise, with little or no connection with the external environment, and the attacker lacks sufficient correlation knowledge to perform security attacks. In the vast majority of cases, the initial network design is sound, even good practice and relative standards. But in fact, from the point of view of security design, it is better to cope with the growing demand than to conceal the lack of communication and improve the response. It is relatively common that, over time, an otherwise hidden problem may be exposed by temporary updates and cracks to the hardware, allowing the problem to go unchecked and spread across the entire device family leading to a complete network and system crash Case.

Pervasive system legacy issues. In an industrial environment, the span of new and old equipment is large, the equipment life cycle is long, and the operating system of the equipment is not uniform enough, which makes the maintenance of the equipment extremely troublesome, and also exposes security issues such as system vulnerabilities. For example, in the context of urban power systems, it is not uncommon for older mechanical equipment to intersect with modern smart electronics. For the legacy components, because the old equipment cannot be connected to the network, the equipment is encouraged to run, but the entire system is integrated into the network, and some conditions cannot be monitored. From a security point of view, this situation is a potential threat, because many devices are likely to be unpatched or have vulnerabilities due to legacy issues, and it is more likely that the corresponding solutions for devices that are aging due to the passage of time cannot be applied. Therefore, we should strengthen the management of patches and devices, generate corresponding tools, and protect the vulnerabilities that may be exploited as much as possible.

Unsafe operating protocol. Among industrial control protocols, especially those based on serial ports, they are only considered for communication at the beginning of design, and there is no relative requirement for security. This has become the weakness and inherent loophole of the current network transmission protocol. In addition, the security considerations in the embedded operating system are relatively lacking. In old industrial protocols, data protocols such as monitoring and data acquisition often have coexisting security issues. Including the lack of communication authentication, static and dynamic data cannot establish effective protection, which makes the data in transmission often public. Although the data may not be so important, the risk of data tampering must be prevented.

The device is not secure. In addition to the defects of the communication protocol, the control equipment and the communication components themselves also have loopholes and defects. Before 2010, the world paid little attention to the security of industrial design, which also led to the fact that industrial design did not undergo the fire-zero test like IT, which led to frequent occurrence of vulnerability-related problems in the industry. This also reminds the OT industry to pay attention to the safety of the equipment itself.
IoT security issues are often more than that, including supplier dependence, security knowledge presentation and demonstration issues, etc. All these aspects remind the importance of safety all the time.

In recent years, the manufacturing industry has undergone a major shift in its approach toward production. The implementation of IoT (Internet of Things) solutions have revolutionized the way factories operate and has brought about numerous benefits to the manufacturing process. In this article, we will discuss the top 10 benefits of IoT solutions in the manufacturing industry.

Benefits of IoT Solutions in Manufacturing Industry

1. Enhanced Productivity

IoT solutions have greatly improved the productivity of manufacturing facilities. Connected devices and sensors work together to streamline the manufacturing process, reducing the time it takes to produce a product. IoT technology allows manufacturers to monitor and optimize their production lines, leading to more efficient and effective operations.

2. Predictive Maintenance

IoT solutions allow manufacturers to monitor their equipment and machinery in real time. This real-time data can be used to predict when equipment will fail and prevent downtime. Predictive maintenance reduces the costs associated with unplanned downtime and maintenance, ultimately improving the bottom line of the manufacturing facility.

3. Improved Quality Control

IoT solutions enable manufacturers to monitor the quality of their products throughout the production process. This helps to identify potential issues early on, reducing the number of defective products that reach the end consumer. Improved quality control leads to increased customer satisfaction and reduced costs associated with returns and warranty claims.

4. Increased Safety

IoT solutions can improve the safety of workers in manufacturing facilities. Connected sensors and devices can monitor the work environment and identify potential hazards. This data can be used to implement safety protocols and prevent accidents from occurring.

5. Supply Chain Optimization

IoT solutions enable manufacturers to track their inventory and supply chain in real time. This allows for better supply chain optimization, reducing costs associated with excess inventory and stockouts. Real-time inventory tracking also enables manufacturers to respond quickly to changes in demand, reducing lead times and improving customer satisfaction.

6. Energy Efficiency

IoT solutions can help manufacturing facilities reduce their energy consumption. Connected sensors can monitor energy usage in real-time, identifying areas where energy is being wasted. This data can be used to implement energy-saving measures, reducing energy costs and improving the environmental impact of the facility.

7. Improved Communication

IoT solutions can improve communication between different departments within the manufacturing facility. Connected devices and sensors can share data in real-time, allowing for better collaboration and coordination. Improved communication leads to more efficient operations and better decision-making.

8. Increased Flexibility

IoT solutions can improve the flexibility of manufacturing facilities. Connected devices and sensors can be used to reconfigure production lines quickly, allowing for rapid changes in production. This leads to more responsive manufacturing operations and the ability to quickly adapt to changing market conditions.

9. Cost Reduction

IoT solutions can help manufacturing facilities reduce their costs. By improving productivity, reducing downtime, improving quality control, and optimizing the supply chain, IoT solutions can have a significant impact on the bottom line of the facility. This ultimately leads to improved profitability and a stronger competitive position.

10. Competitive Advantage

IoT solutions can provide manufacturing facilities with a competitive advantage. By implementing cutting-edge technology, manufacturers can differentiate themselves from their competitors and offer unique value propositions to their customers. This can help to attract new customers and retain existing ones.

Statistics of IoT Solutions in Manufacturing Industry

As these statistics demonstrate, IoT solutions are becoming increasingly prevalent in the manufacturing industry, with significant growth expected in the coming years. The most common use cases for IoT in manufacturing are centered around improving efficiency, reducing downtime, and optimizing supply chains. With such a large potential market size, it's no surprise that more and more manufacturers are investing in IoT technologies to drive innovation and stay competitive.

Final Words

The implementation of IoT solutions in the manufacturing industry brings about numerous benefits, including enhanced productivity, predictive maintenance, improved quality control, increased safety, supply chain optimization, energy efficiency, improved communication, increased flexibility, cost reduction, and competitive advantage. By leveraging IoT technology, manufacturers can improve their operations and ultimately improve their bottom line.

Keeping your fulfillment process steady is made easier with the use of technology for effective business solutions. Get in touch with Aeologic Technologies right away to see how it can benefit your company.

FAQs

How does IoT technology improve productivity in the manufacturing industry?

IoT technology allows for real-time monitoring and optimization of production lines, reducing the time it takes to produce a product and improving overall efficiency.

How does predictive maintenance work with IoT solutions?

Connected sensors and devices monitor equipment and machinery in real-time, collecting data that can be used to predict when maintenance is needed before equipment fails, reducing the costs associated with unplanned downtime and maintenance.

In recent days, neural networks have become a topic for discussion. But the question still needs to be solved- How can it affect our world today and tomorrow?

The global neural network market's compound annual growth rate (CAGR) is expected to be 26.7% from 2021 to 2030. This means that new areas of application for them might appear soon. The Internet of Things that is IoT, is today's most fascinating and required technological solution for business. Around 61% of companies utilize IoT platforms, and we can anticipate the integration of neural networks into enterprise IoT solutions. This anticipation raises many questions, like what gets such collaboration and how to prepare it. Can we optimize the IoT ecosystem using neural networks, and who will approach such solutions?

What do you understand by a neural network, and how is it beneficial for enterprise IoT?

An artificial neural network that is ANN is a network of artificial neurons striving to simulate the analytical mechanisms taken by the human brain. This type of artificial intelligence includes a range of algorithms that can "learn" from their own experience and improve themselves, which is very different from classical algorithms that are programmed to resolve only specific tasks. Thus, with time, the neural network will remain pertinent and keep on improving.

With the proper implementation, enterprise internet of things (EIoT) and ANN can offer the business the most valuable things: precise analytics and forecasts. In general, it is not possible to compare both. Enterprise IoT is a system that needs software for data analysis, whereas ANN is a component that needs a large amount of data to be operational. Their team naturally controls the analytical tasks; therefore, high-level business tasks are performed most effectively, reducing costs, automating processes, finding new revenue sources, etc.

In the Internet of Things ecosystem, neural networks help in two areas above all:

• Data acquisition via ANN-based machine vision
• Advanced-data analysis

If it needs significant investments to execute ANN in big data analytics solutions, neural network image processing can decrease the cost of the IoT solution. Thus, neural networks improve enterprise IoT solutions, enhance their value, and speed up global adoption.

Which solutions within enterprise IoT can be enhanced using neural networks?

IoT-based visual control

The IoT ecosystem begins with data collection. Data quality impacts the accuracy of the ultimate prediction. If you implement visual control in your production processes, neural networks can boost the quality of products by superseding outdated algorithms. Besides this, they will optimize the EIoT solution. Conventional machine vision systems are pricey as they require the highest resolution cameras to catch minor defects in a product. They come with complex specific software that fails to respond to immediate changes.

Neural networks within machine vision systems can:

• Diminish camera requirements
• Self-learn on your data
• Automate high-speed operations

Indeed, industrial cameras use large-format global shutter sensors having high sensitivity and resolution to develop the highest quality images. Nevertheless, a well-trained ANN starts to identify images with time. It allows them to reduce the technical needs for the camera and ultimately cuts the final cost of the enterprise IoT implementation. You cannot compromise the quality of images to detect small components like parts in circuit boards; however, it is manageable for printing production, completeness checking, or food packaging.

After training, neural networks use massive amounts of data to identify objects from the images. It enables you to customize the EIoT solution and train the ANN to operate specifically with your product by processing your images.

For example, convolutional neural networks are utilized actively in the healthcare industry to detect X-rays and CT scans. The outcome offered by such custom systems is more precise than conventional ones. The capability to process information at high speeds permits the automation of production processes. When the problem or defect is caught, neural networks promptly report it to the operator or launch an intelligent reaction, like automating sorting. Hence, it allows real-time detection and rejection of defective production.

An exclusive example of how ANN is utilized for edge and fog computing. As per PSA, a neural network executed in a machine vision system permits lowering the number of defects by 90% in half a year, whereas production costs are decreased by 30%. Prospective areas for ANN in IoT visual control are quality assurance, sorting, production, collecting, marking, traffic control, and ADAS.

Big data advanced analytics for enterprise IoT:

Today, neural networks allow businesses to grab advantages like predictive maintenance, new revenue flows, asset management, etc. It is possible via deep neural networks (DNN) and the deep Learning (DL) method involving multiple layers for data processing. They detect hidden data trends and valuable information from a significant dataset by employing classification, clustering, and regression. It results in effective business solutions and the facilitation of business applications.

In comparison to traditional models, DL manages with the attributes that are expected for IoT data:

1. Assess the time of taking measurements
2. Resist the high noise of the enterprise IoT data
3. Conduct accurate real-time analysis
4. Determine heterogeneous and discordant data
5. Process a large amount of data

In practice, this implies that you don't require middle solutions to deliver and sort the data in the cloud or to analyze them in real-time. For example, full-cycle metallurgical enterprises can execute one solution to analyze the variable and unstructured data from metal mining, smelting, and final manufacturing products. Airplanes generate about 800TB of data per hour, making it impossible to process it all ideally using conventional analytical systems.

Today, DNN models are successful in the following enterprise IoT applications. 

Healthcare:

Today, it has become easy to predict disease using AI-based IoT systems, and this technology is developing for further improvements. For instance, the latest invention based on the neural network can detect the risk of heart attacks by up to 94.8%. DNN is also helpful in disease detection: the spectrogram of a person's voice received using IoT devices can identify voice pathologies after DNN processing. In general, ANN-based IoT health monitoring systems' accuracy is estimated to be above 85%.

Power consumption:

DL systems in the enterprise Internet of Things have provided results in power demand prediction based on power price forecasting, consumption data, anomaly, power theft detection, and leak detection. Smart meter data analysis permits you to calculate consumption, determine the unusual usage of electricity, and predict with an accuracy of more than 95%, which will help you to adjust energy consumption.

Manufacturing:

Neural networks help to use the most demanded IoT service among manufacturers properly- predictive equipment maintenance. It was ascertained to be a workable practice for mechanical and electrical systems. This network provides accurate real-time status monitoring and predicts proper life rest. Another best example is the recognition of employee activity by taking readings and following in-depth analysis.

Transportation & Logistics:

Deep Learning has made smart transportation systems possible. It offers better traffic congestion management by processing travel time, speed, weather, and occupational parking forecasting. Analytical reports based on vehicle data help to discover dangerous driving and possible issues before the failure happens.

As we know, the previous industries generate heterogeneous data. Therefore, the potential of ANN analytics within EIoT will be unlocked for multiple complicated systems.

When to consider ANN for enterprise IoT:

Till now, research in the field of ANNs been very active, and we cannot foretell all the advantages or pitfalls these solutions will convey. No doubt, neural networks find out correlations, models, and trends better than other algorithms. The IoT ecosystem's data will become more extensive, complex, and diverse with time. So, the development of neural networks is the future of IoT.

For now, we can look into the following features of neural networks for enterprise IoT:

• They suit the IoT ecosystem architecture, substituting alternative solutions with significant advantages.
• Essential for industrial image processing.
• Progressive ANN-based data analytics gets the high-level business value of the enterprise IoT solutions – improves productivity, and exactness, boosts sales, and produces informed business decisions.
• Training the ANN requires time and expenditure but will become fully customizable.
• We cannot conclude it is an affordable solution, but the advantages are priceless if the IoT ecosystem is executed accurately.

Therefore, if you are provided with a neural network as one of the opportunities for executing your idea within the IoT ecosystem, give it a chance. You never know, this solution will become a must-have in the coming years.

The serial server processes various data, maps the Ethernet interface of the TCP/IP protocol into a standard serial port, processes the serial data flow of the serial device, converts the format, and controls sending and receiving, making it a data frame that can be transmitted by the Ethernet, and judging the Ethernet Data frame, converted into a serial data transfer response to the serial device.
The system configures relevant network audio and video interface devices at each node to ensure the connection of audio and video signals. At the same time, each interface machine has a programmable control interface (RS-232, RS-485, IR infrared) to control the surrounding equipment. The control of each module can work independently, which means that the control failure of a module during the period will not affect the operation of the entire system, only the faulty node needs to be dealt with, which ensures the stable operation of the entire system and facilitates system maintenance.
Find the existing problems in time and eliminate them immediately. The system not only displays the corresponding parameters through the display screen. It should also communicate data through its own communication interface (RS-232 or RS-485 serial port). The original substations are generally managed by local computers without networking. Using RS serial port communication can meet the requirements. Now due to the gradual development of industrial Ethernet on the national grid.

Ebyte Internet of Things wireless communication transmission equipment-Ethernet serial port server

NA11x 【Serial ⇌ Ethernet】 Serial server
Network protocol: IP, TCP/UDP, HTTPD, IPV4
Transmission method: RS485/RJ45
Product size: 92*66*30mm
Product introduction: NA111/NA112 is a serial server that realizes serial data ⇌ Ethernet data transmission. The product comes with an RJ45 interface and is installed on a guide rail. It can meet the networking functions of various serial devices/PLC.

Technologies like blockchain, IoT, AR, VR, and AI are playing a big role in transforming the gambling industry. They are changing the way of gambling and players all around the world are liking this innovative approach. 

The Internet of things has added a lot of attraction to casinos because with the help of IoT, offering gambling according to the regulation, to ensure players' safety, secure their assets, data security, and excellent player gaming experience becomes so much easier. Not only the gambling industry but also other various industries have adopted it and collaborating with AI, Crypto, and blockchain gives a new shape to the casino world. According to the study, it is expected more than 41 billion IoT devices will be used by 2027. All digital devices such as smartphones, PCs, digital watches, cameras, and other smart gadgets are examples of IoT.

In this article, we are going to discuss how blockchain and IoT are bringing fruitful results in the gambling industry. And why the demand for blockchain development services is so high in the market.

IoT Basics:

IoT is a network of physical objects that are connected with each other by sensors, software, and other technologies to connect and exchange data in a secure and smooth way over the Internet. IoT is defining the gaming industry with positive and fruitful way. 

Before diving in-depth, let’s know about blockchain and IoT.

Blockchain Basics

The main objective of blockchain is to record data in the form of blocks and all blocks are linked together in a chain. That means blockchain is an immutable ledger where all records are saved but cannot be changed, deleted, or destroyed. 

Basically, it is an advanced database mechanism that offers you high security and transparency. There are four types of blockchains:

• Public blockchain
• Private blockchain
• Hybrid blockchain
• Consortium Blockchain

Lets’ know the positive aspects of Blockchain and IoT in gambling business Industry.

Benefits of Blockchain in Gambling Industry

Here are the reasons for the popularity of blockchain and IoT in gambling world and most games and service providers and online casinos are using both technologies in order to create a difference. 

• High Security
  

Blockchain offers you high-end security and when you make any transaction using cryptocurrencies then it will automatically be added to the distributed ledger and will automatically be added in the whole blocks and entry of new coins is added in the blockchain. 

Blockchain in the casino is offering high security to both players and owners. With its help, there is no need to do registration at casinos and there is no need to validate yourself, and no credit card information is required there. You can do all without sharing your personal data and no one regulates you due to the absence of central authorities.

• Anonymity
  

As we all know that according to a specific location, there are certain rules to regulate online casino business and as a user, you have to follow these rules. But with the help of blockchain, you can enjoy any casino all over the world and you can make payments without facing any issues and no one will know your identity. Cryptocurrency and blockchain are not regulated by any central authority and you can earn huge profits by accessing all casinos all over the world and crypto can be used for payment. 

At present, privacy is everything and you can gamble and make transactions without being noticed by anyone because no one can track you here and you have no need to share your personal information.

• Instant and Cost-effective

Blockchain makes it possible to do fast and instant transactions. As we all know that crypto is based on blockchain and not regulated by a central authority so it means there are no mediators and you can make your transaction in a faster way. And cost-effectiveness is another reason that is making it more popular and it charges less than credit cards, debit cards and traditional platforms. 

• Transparency, Efficiency, and Access
  

When you integrate blockchain in the online gambling industry, then you get transparency and no one can make fraud with you. Like you cannot trust traditional casinos, and online platforms for reliable betting services but on blockchain oriented casinos you can. Because here blockchain maintains all records that are impossible to manipulate. 

You can also enjoy casino games without registration because it uses only your wallet address so it becomes quite easy to access and platform efficiency also improves. 

• Smart chips
  

In online casinos, there is a huge amount of data and managing that is quite a tedious task and thanks to IoT that has made it quite easy and user-friendly. With the help of RFID microchips, all illegal activities have become so minimal. RFID microprocessors have made it possible to take care of all aspects of online casinos.

So, we can say that IoT has increased the security of casinos and now players can enjoy gambling services in an easy way. 

Final Word

This article helps you to know all about the IoT and Blockchain and how they are bringing positive changes in the online casino world and gambling industry. After reading this article, we can say that now players and bettors can enjoy online gambling in an effective way without facing any issues. Now they are paying full attention to gambling without caring about extra issues. You can also invest in the gambling business with the help of a sports betting developmet company.

Cloud computing enables all kinds of smart devices to connect to the Internet and exchange information, which has won the favor of end users and has become a mainstream application trend. Various use cases of cloud computing have been pervasive: for example, the data in the mobile phone can be backed up using cloud services, and the data in the mobile phone can be retrieved from other networked devices through accounts. Complete applications, such as various cloud games, cloud office software, etc., can be accessed directly from a web browser.

At the same time, cloud computing enables companies to complete more computing tasks and data storage through cloud servers in addition to their own physical hardware, eliminating the tedious maintenance process of physical hardware for small and medium-sized teams, and focusing more on their own business.

From wearables to smart home devices to low-level sensor products, connected devices are everywhere. According to relevant statistics from IDC, the global Internet of Things spending will reach 690.47 billion US dollars in 2020, of which the Chinese market accounts for 23.6%. IDC predicts that the global IoT market will reach US$1.1 trillion by 2025, with an average annual compound growth rate of 11.4%, of which the Chinese market share will increase to 25.9%

Smart Home Device Sensors

But centralized cloud computing is not suitable for all applications and use cases. Edge computing can provide solutions in areas where traditional cloud infrastructure may struggle. In recent years, the consolidated and centralized nature of cloud computing has proven cost-effective and flexible, but the rise of the Internet of Things and mobile computing has put a strain on network bandwidth. Ultimately, not all smart devices need to leverage cloud computing to function. In some cases, the round-trip transfer of data even consumes additional resources. As a result, edge computing came into being.

According to relevant information from IDC, edge computing is described as "a mesh network of micro-data centers that process or store critical data locally and push all received data to a central data center or cloud storage repository with a coverage area of less than 100 km." square feet".

Localized data processing and storage puts less pressure on computing networks. When there is less data being sent to the cloud, the likelihood of delays is greatly reduced. This also puts more tasks on the hardware based on edge computing technology, and needs to include sensors to collect data and CPU or GPU units to process data in networked devices.

IoT (Internet of Things) in today’s era is one of the most significant technologies having dynamic applications across every industry. Its advanced connectivity and ability to gather and process data in real-time makes it beneficial for all sectors. The automotive industry, too, leverages this tremendous technology to make itself more advanced. 

The days of gasoline fuel vehicles and stations being obsolete are not far away now. Many countries worldwide have begun their journey to facilitate a fully electric vehicle system, while others are catching up with them. One of the major purposes of IoT in EV systems is the development of robust charging infrastructure. The ability to remotely manage the charging stations is a big challenge that IoT systems seamlessly handle. 

So in this blog, we will discuss the role and uses of IoT in EV systems and how it is changing the automotive dynamics for the future. Let us start!

Overview: IoT in EV Charging

IoT is fundamentally a convergence of IT (Information Technology) and OT (Operational Technology). The OT focuses more on devices and sensors established in the system. At the same time, IT deals with the digital transformation aspects of the system. 

In the EV charging station landscape, the system is connected to multiple IoT devices integrated with several third-party service providers like e-MSPs, energy suppliers, and charge point operators. 

The devices established in the charging system utilize a back-end cloud infrastructure that is run through different protocols & connectivity options to ensure seamless charging operations. 

The major services carried out at an EV station are

• Processing payments 
• Scheduling
• Software updates
• Predictive maintenance
• Usage analytics

IoT in an EV charging system consists of three major elements:

1. Charging Equipment

It is a hardware unit established at a charging station that provides a physical connection between the power grid and the EV. The unit comprises different connectivity options, power electronics, charging protocols, and sensors. All these devices perform operations like 

• Engagement and disengagement of the port 
• Start and stop the process of charging
• Energy Metering
• Fault Detection
• Health Status

2. Mobile App

The next most important element of IoT in the EV charging system is a web-based smartphone app. The app is responsible for connecting The EV charging network to the EV owners. Some of the major operations include

• User Authentication
• Navigating A Charging Network
• Charger Onboarding
• Scheduled Charging
• Slot Reservation
• Billing, And Payments

3. Management Platform

It is a cloud-based platform that aims to gather data from IoT Sensors and devices to perform data analytics. It consists of operations such as

• Load Balancing
• Remote Monitoring
• Configurations Management
• Firmware Upgrades
• Alerts and Notifications

IoT in the EV charging system enables continuous monitoring of operations and gathering of data to present it in reports & dashboards. Also, it can be leveraged to notify users during critical failures. 

IoT is a great technology for EV automobiles and charging stations as most of its failures can be troubleshot effortlessly with remote operations. Hence, IoT is unquestionably the next big technology in the automotive sector. 

The Four Pillars of IoT in Electric Vehicle Management System

The IoT Electric vehicle management system consists of four aspects on which it majorly works:

Battery Management System

As EVs are powered with batteries, so the primary role of the battery management system is to monitor and manage the battery processes. It includes charging, discharging, and checking key parameters like voltage, current, and temperature while charging operations. 

IoT enables the battery system to be controlled and fixed remotely when required. Besides, the battery system continuously sends data to the servers to generate insights on the next course of action to enhance performance. 

Safety and Smart Driving

Providing higher safety to passengers commuting in a vehicle is an important element of using IoT in automobiles. IoT sensors and devices planted inside the EVs provide features like

• Theft prevention through real-time tracking, immobilization, and geo-fencing.
• It consistently monitors the performance of vehicles based on different attributes like driving conditions, geography, weather, etc. The accumulated data helps in making the system more efficient. 
• The IoT devices established in vehicles also capture the car parameters like speed and acceleration and accordingly provide ti[ps in real-time. 

Preventive Maintenance System

Though EVs are designed with care, there can be incidents of component failures. Therefore, there are IoT-based fault alert systems installed in the system that notifies the driver about the failing component. 

It helps them to analyze the situation and act accordingly. As the issue gets addressed ahead of time, the driver gets time to prevent a breakdown. In addition, the problem can be fixed remotely in certain conditions. It enhances the customer experience and provides higher vehicle reliability to the user. 

Telematics Data

IoT is important and is used widely in different sectors today due to its ability to collect data for improved operations. In the automotive industry, data is gathered when connected to vehicle sensors. This accumulated data can be displayed via widgets and used to generate automatic reports. Some of the most beneficial factors of using telematics for EVs are:

• It provides the details of battery usage data. 
• It generates a charging report for every charging session.
• It monitors and provides insights on driver behavior data. 
• It alerts users with nearby charging station alerts. 

How Does IoT Transform the EV Charging Experience?

Here are some crucial benefits and use cases of IoT in EV charging:

1. User Authentication

The customer uses an RFID card/tag to access the charging machine. As soon as they tap their tag, the charging station transmits the data to the IoT platform. The IoT platform then checks the user profile and performs an authentication process to ensure secure and safe billing. 

       2. Charger Availability

The IoT sensors and devices deployed inside your car notify you about the nearby available charging stations. In addition, you can utilize the smartphone app to reserve a slot and check the rates of the charging service for different times.  

      3. Automated Operations

IoT has powered the charging stations to work automatically without any user help. Besides, the system notifies the users about the left charging time, due payments, and any charging errors.   

      4. Smart Charging

Due to the availability of IoT sensors, charging stations can work more smartly. When there is abundant sunlight and energy production, the chargers automatically start charging, which invariably helps grid operators to manage energy more efficiently.

     5. Remote Management

The IoT devices installed in the system generate real-time metrics & insights. The metrics may include charger availability, utilization, and fault monitoring. It helps in fixing the issues remotely when required. Further, it helps in predictive maintenance and minimizing operational downtime. 

     6. EVSE Control

There are several sensory nodes through which the IoT platform collects information. The data may include energy tariffs, grid limit, EV battery capacity, and state of charge. Information on these metrics helps manage the EV charging infrastructure and deliver better service. 

     7. Support and Management

IoT enables EV charging stations to become smarter, connected, and accessible for everyone. Besides, it presents crucial information such as charging time, charging queues, weather conditions, etc., that aids in a better support system for the users.

     8. Data Collection and Analysis

Advanced cloud solutions powered by IoT significantly help in data collection and enable users, service providers, and maintenance workers to optimize their work more efficiently. 

     9. Geo-Dashboard

Geo dashboard is an impressive feature of the EV charging module where the user is informed about the nearby charging stations to schedule their trip more effectively. 

Should You Invest in IoT EV Charging Solutions?

EVs are the future of automobiles and will get mainstream in the next couple of years around the globe. Hence, building refined EV charging solutions now can earn you a monopoly in this service industry. So if you wish to build your own IoT-based EV charging solution, get in touch with our Intuz expert team. Intuz is a leading IoT development company who have built impressive and unique IoT solutions for different market verticals. You, too, incorporate with them to build your next IoT solution.    

2019 was the year that IoT solutions started to become a reality. The internet of things has been predicted for years now, but the implementation of IoT solutions has been slower. The impact that IoT will have on business and society cannot be understated, and many companies are aiming to gain a competitive advantage by implementing IoT solutions.

Every year, more entrepreneurs tend to jump on the IoT bandwagon to leverage the benefits of this rapidly evolving technology. Tapping into the IoT, businesses can achieve a plethora of benefits, including increased revenues, better customer services, and enhanced operations. All over the world, companies are turning to the Internet of Things solutions, especially in high-tech industries, such as automotive and aerospace, and in sectors such as manufacturing and retail.

Artificial intelligence and machine learning (AI/ML) deployed on sensors, devices, and networks through the Internet of Things (IoT) are helping enterprises transform the way they do business. Although IoT adoption rates have increased in recent years, IoT adoption is still relatively low. However, by 2025, the number of connected devices will grow to 75.44 billion from 16.2 billion in 2017, according to Statista.

What does IoT mean for digital transformation?

A digital transformation enterprise is not just about the technology or the platform. It is about a new approach to business. IoT is revolutionizing the way enterprises think about their business and the way in which customers and partners interact with them, providing new opportunities for revenue growth and customer engagement.

The Internet of Things (IoT) presents a wealth of opportunities for businesses to transform their processes and operations, leading to more efficient and effective services. By connecting physical devices and systems to each other and the cloud, businesses can gain greater insight into their operations, access real-time data, and automate processes. This can help businesses to save time, money and resources, as well as improve customer experience and reduce operational costs. IoT can also enable new business models, allowing businesses to develop new products and services and create new revenue streams. In short, IoT is an essential part of any digital transformation strategy

Automation: IoT devices can be used to automate tedious and labor-intensive tasks. Automation can be used to streamline processes, increase efficiency and reduce errors, ultimately speeding up the innovation process. can also be used to streamline data collection, allowing businesses to collect and analyze data in real-time to gain valuable insights and make data-driven decisions. This not only accelerates the development process but also reduces the cost associated with data collection and analysis.

Connectivity: IoT devices can be used to connect disparate systems and enable data and information sharing. This can be used to facilitate collaboration and data sharing, which can speed up the process of digital transformation. By leveraging the power of connectivity, businesses can develop a range of products and services that can bring about a whole new level of efficiency, cost savings and customer satisfaction. This can be achieved by integrating data sources and creating better ways to monitor and manage the connected devices. 

Monitoring and analytics: IoT devices can be used to monitor and analyze data in real-time, providing valuable insights and helping to inform decisions and improve the decision-making process. This can help businesses identify trends, identify potential issues before they arise, and reduce downtime. It also provides a way to better understand customer behavior and gain valuable insights into customer preferences. With this data, businesses can tailor their products and services to better meet customer needs, resulting in improved customer loyalty and profitability.

Security: IoT solutions can provide additional layers of security to protect data and systems from potential threats. This can help to reduce the risk of data breaches and other malicious activities.  IoT solutions can also help to automate security-related processes and procedures. This can help to reduce the time and effort required to maintain a secure environment, allowing organizations to focus on other areas of their operations. Additionally, by having automated security, organizations can be sure that their security measures are consistently up-to-date and effective in protecting their data and systems.

Scalability: IoT solutions can be used to easily scale up or down resources to meet the changing needs of the organization.