On the other hand, the IoT market also expects more than 16 billion new connections by 2024. AI and IoT can create a smart future in which machines don’t just work by following the instructions fed to them. You may think of a robotic utopia in the future that would grow on the foundation of artificial intelligence and Internet of Things. Let us learn more about the significance of AI in IoT with examples.

What is the Importance of AI for IoT?

Before you try to uncover the hidden potential of the combination of AI and IoT, you must know about both technologies. You can develop a better understanding of the application of AI in IoT by figuring out the potential of each component of the combination.

Artificial intelligence refers to the simulation of human intelligence in machines that can enable them to learn autonomously, reason, and perform tasks. AI uses different technologies, such as machine learning, NLP, computer vision, and deep learning, to process massive datasets, make pattern recognition, make predictions, and take relevant actions on the basis of valuable insights. 

On the other hand, Internet of Things or IoT is a network of devices connected to each other. The devices have software, connectivity features, and sensors that help them collect and transfer data, thereby enabling communication between them and the physical world. The importance of artificial intelligence in IoT revolves largely around the diversity of IoT applications. IoT applications in healthcare, smart homes, agriculture, industrial automation, and transportation have proved how artificial intelligence can take IoT applications to the next level.

The growing number of IoT devices also offers new possibilities for generation of more data. With more than 29 billion IoT connections expected by 2030, artificial intelligence can play a formidable role in enhancing IoT networks. IoT networks can collect and manage large amounts of data that can serve as inputs for AI algorithms. Subsequently, AI algorithms can use the data of IoT devices to serve actionable insights.

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How Can Artificial Intelligence Work for IoT?

Internet of Things and artificial intelligence are transforming each other with their unique advantages. The combination of AI and IoT brings useful insights to the table for businesses with prospects for using AI to enhance existing IoT applications. You can find answers to the question “What is the use of AI in IoT?” by referring to examples such as the Nokia production site in Finland. The production facility utilized intelligence automation and digital twins to achieve better productivity and faster time-to-market.

The merger of AI with IoT can introduce unique functionalities in the form of AIoT or artificial intelligence of things. AI can replicate human intelligence in machines, and IoT serves as a strong connected infrastructure for information exchange. Therefore, the combination of the two technologies helps with effective analysis and interpretation of data rather than just collecting and transferring the data. On top of that, the AI and IoT interplay can also enhance IoT operations, data analytics, and user interactions. 

The overview of individual IoT and AI examples would show glimpses of what they can achieve independently. However, AI can add value to IoT by leveraging new features for decision-making and machine learning. On the other hand, IoT can improve AI with the help of data exchange, connectivity, and signaling. Here are the steps that can explain how AI would work for IoT.

• IoT devices, including cameras, industrial machines, sensors, and wearables, collect data continuously and transfer it to cloud platforms or centralized servers. 
• In the next step, AI algorithms help analyze data collected by IoT devices to identify patterns, anomalies, and correlations. 
• The discussions about IoT and AI future also emphasize how the combination of the two technologies can lead to comprehensive data analysis. AIoT systems can use the insights extracted from data analysis to provide valuable recommendations that can empower autonomous decision-making.
• Subsequently, AIoT systems can take different types of actions as a response to the insights derived from data analysis. On top of that, AIoT systems can also use continuous learning mechanisms to achieve performance improvements over time. 

What are the Advantages of Using AI in IoT?

You can find a better answer to “What is the use of AI in IoT?” by exploring the benefits of combining the two technologies. Businesses look for opportunities to combine AI and IoT for benefits, such as enhancing customer engagement, operational efficiencies, and top-line growth. Here is an outline of the most noticeable benefits of combining AI and IoT.

• Real-time Use of Data

The combination of AI and IoT supports real-time analysis of data generated and collected by IoT devices. You can clearly identify the role of AI in IoT by exploring how artificial intelligence enables real-time data analysis. It can offer faster responses and access to insights through immediate processing of sensor data by AI systems. Real-time data analysis can ensure better productivity and efficiency in different areas, such as predictive maintenance, supply chain optimization, and quality control.

• Better Security and Risk Management 

IoT networks can leverage the power of AI to achieve promising improvements in security and risk management. For example, AI can help in detection of strange activities and malicious patterns, followed by triggering responses to breaches. The different IoT and AI examples show that AI systems can use data obtained from cameras and enable real-time analysis to detect intrusions.

On top of it, AI in IoT can also improve privacy protection by leveraging secure communication protocols and data encryption. Stronger authentication mechanisms with the combination of AI and IoT can ensure that authorized users can only access sensitive information.

• Personalization of User Experience 

The prospects for IoT and AI future also extend toward new opportunities for personalizing user experiences. AIoT can help in achieving contextual applications according to preferences and behavior of users.

For example, AI systems can learn the temperature and level of lighting preferred by homeowners with IoT devices. As a result, they can ensure automatic adjustments in temperature and lighting according to different times of the day. Furthermore, intelligent systems also offer personalized recommendations through comprehensive data analysis to achieve better customer satisfaction. 

• Resource Optimization and Automation

Artificial intelligence also helps in effective optimization of resource management in IoT networks in different ways. The application of AI in IoT can also ensure optimization of electricity consumption through adjustment of lighting and heating systems on the basis of occupancy in smart homes.

In the case of industries, artificial intelligence in IoT networks can empower predictive safeguards for machines and systems. Furthermore, applications of AI in IoT in industrial settings also enable streamlining of business operations through automation of routine tasks. For example, the use of AIoT in a warehouse can facilitate automated inventory control and order fulfillment. 

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What are the Potential Applications of IoT and AI in future?

The combination of AI and IoT brings some unique surprises for everyone, including the general public and industries worldwide. However, the impact of artificial intelligence in IoT can also be perceived as a trend that will fade away soon. Therefore, it is important to identify the areas where AI and IoT can achieve crucial benefits for users and businesses.

The interplay between AI and IoT can empower smart cities, environmental monitoring, agriculture, and education. For instance, the integration of AI with IoT can create smart cities with the assurance of improved functionalities. Smart cities can use AI and IoT for energy-efficient buildings, improved public utilities, and intelligent traffic management. 

You can notice a prominent example of combining AI with IoT in the case of Nest Labs. The company has designed smart thermostats to offer better convenience to users. Smart thermostats utilize IoT to monitor temperature and relevant controls effectively by utilizing smartphone integration. 

Another notable example that shows the road to a better IoT and AI future is that of Tesla and its self-driving cars. With the power of AI and IoT, all of Tesla’s self-driving cars would work like a connected network. As a result, information learned from one Tesla car can help in drawing predictions about traffic levels and behavior of pedestrians in different scenarios.

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Final Words 

The use of AI in IoT can open new opportunities for the growth of technology. As AI emerges as a powerful tool for automation and extracting valuable insights, it can empower IoT networks. The answers to ‘What is the use of AI in IoT?’ point to the ways in which artificial intelligence can become a game-changer for IoT. Interestingly, the proven use cases of AIoT in different industries showcase that businesses can achieve promising benefits by combining the two technologies. Learn more about AI and IoT to discover the best practices for using them together right now.

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IoT points to any linked device that can stream data all over the internet through physical devices. Machine learning is a subdomain of AI and relies on the use of algorithms for simulating human intelligence. IoT devices generate a significant volume of data from millions of devices worldwide that can leverage machine learning algorithms for drawing predictions about future events and behavior. Let us discover more information about the relationship between IoT and ML.

What is Machine Learning?

The first thing you need to understand before exploring the importance of ML in IoT development is the definition of machine learning. You must know that the universe works in unprecedented ways and does not work according to a predefined algorithm. If the universe worked like that, anyone could have predicted the future.

Machine learning helps in predicting the most likely scenarios on the basis of algorithms and statistics. It utilizes large collections of data to generate insightful information that can help draw predictions about future events. ML can offer multiple advantages, such as enhancing customer experiences, streamlining procedures, developing new business models, and reducing expenses.

One of the examples of understanding how ML works is evident in how you avoid a dark alley at night. It is not confirmed that you would be robbed if you walked into the alley. However, the experiences of other people or your own might discourage you from entering the alley.

The applications of machine learning in IoT can be based on the use of ML algorithms for using historical data to draw predictions. In the example of the dark alley, you would notice that ML algorithms receive information about incidents with people in dark alleys and make recommendations on the basis of the recorded information. The ability to process massive volumes of data can help in forecasting the likely events that would happen in a new circumstance.

Machine learning algorithms can learn from a massive volume of data and receive new data for making predictions. Depending on the correctness of the prediction, the algorithm would update the knowledge base and improve over the course of time.

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Understanding the Fundamentals of Internet of Things

If you want to find answers to ‘What is the role of ML in IoT?’ then you must have a clear impression of how Internet of Things works. Internet of Things points to the network of physical things with sensors, software, and other technologies for linking with each other. The devices can also exchange data with other devices in the IoT network and systems all across the internet. An IoT device could be anything, including a refrigerator or a security camera in your home. The IoT devices share data over a network by utilizing data transfer protocols once they are connected to the internet.

Engineers can design IoT devices for transferring data to different locations. The data in IoT devices is transferred to a centralized server periodically and then routed to the private server or to other IoT devices in the network. The working of IoT devices revolves primarily around their ability to transmit data to other devices on the internet.

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How Can IoT and ML Work in Unison?

The best way to learn more about the machine learning IoT interplay is a detailed overview of the ways in which ML and IoT can work together. The fundamental concepts of machine learning and IoT show that ML works by taking historical data and learning from it. On the other hand, IoT helps in transmission of data throughout the internet. The basic working of ML and IoT shows that both of them can work with each other. Data is the common point between ML and IoT, as IoT devices can transfer data to a database, and machine learning algorithms can use the data to learn new things.

Over the course of time, discussions about the use of machine learning in IoT development have been gaining momentum. Machine learning algorithms can become more intelligent with the growing volume of data streamed from IoT devices. The ML algorithm can also offer instructions to IoT devices when the devices can communicate with the environment like different IoT devices.

The loop would help the ML algorithm receive data from IoT devices and improve their instructions for the devices. Subsequently, the IoT devices can work according to the instructions and carry out the necessary tasks alongside providing ML algorithms with a continuous flow of data. The repeated use of the feedback loop ensures that you can achieve some exciting and innovative outcomes with IoT devices.

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What is the Reason for Using Machine Learning with IoT?

Machine learning is an ideal pick for improving IoT systems and networks worldwide. The review of machine learning role in IoT draws attention to two distinct reasons. The first factor focuses on the quantity of data and possibilities for automation, while the second factor focuses prominently on predictive analytics.

• Data Analysis Automation

The foremost feature that connects ML and IoT is the assurance of data analysis automaton with machine learning. You can take the example of sensors in automobiles to learn about the impact of ML on data analysis automation. The sensors in a moving automobile capture thousands of data points. ML algorithms process the data points in real-time to avoid accidents and traffic and ensure passenger comfort.

It is important to rely on ML algorithms for automation because human analysts cannot complete real-time processing of data points for every car running on the road. The use of ML in IoT development focuses on the features of machine learning for offering data analysis automation. Machine learning enables vehicles to learn about notable hazardous conditions on the road. It can help in identifying friction and speed factors that could endanger the driver and ensure activation of safety systems.

• Predictive Analytics

Machine learning also provides another notable advantage of predictive analytics that can help in combining ML with IoT. The ability of machine learning to identify unusual patterns and anomalies and raise red flags makes it useful for IoT development. The importance of ML in IoT development also points to the effectiveness and accuracy of identifying unexpected behavior. One of the notable examples of predictive analytics with machine learning is the experiment by Google to reduce energy consumption in HVAC systems.

Machine learning models can be developed for predicting future outcomes with accuracy by pointing out the causes of specific outcomes. It can offer the opportunity for manipulation of inputs and management of results.

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How Can You Implement Machine Learning in IoT?

The reasons for using machine learning in IoT showcase clearly how you can connect the two technologies. At the same time, it is important to understand how you can use ML for improvements in IoT development. Here are some of the ways in which machine learning can improve IoT development workflows.

• Cost Reduction

One of the foremost reasons for using ML for Internet of Things is the assurance of cost reduction for industrial operations. Predictive skills offer an effective solution in industrial environments that use IoT devices. Machine learning can help IoT devices understand the general conditions of the device and identify the anomalies that emerge with the device.

ML algorithms can provide predictions by extracting data from special sensors or technologies in industrial IoT devices. It is important to determine the situation in which an industrial IoT device needs protection. As a result, you can save money from the costs of repairs and maintenance. Businesses can use machine learning for IoT and achieve more than 90% accuracy for industrial IoT development. Machine learning can also offer cost savings in the maintenance of industrial IoT devices.

• Real-time Decisions

The advantages of machine learning for Internet of Things focus primarily on achieving real-time decisions. Organizations use IoT devices with integration of machine learning algorithms for making real-time decisions based on data. The best thing about machine learning role in IoT revolves around lack of any manual intervention.

For example, ML algorithms and IoT devices can work together in the domain of agriculture for increasing irrigation and optimizing the consumption of fertilizers. As a result, data-driven decisions can help in lowering waste alongside increasing crop yields.

• Better Data Analysis

The responses to ‘What is the role of ML in IoT?’ would draw attention towards improved data analysis. Machine learning algorithms offer the advantage of effective analysis of IoT device data. It can help generate insightful data that could serve as a major tool for decision-making.

Machine learning and IoT can help improve business productivity by supporting predictive maintenance. The benefits of predictive maintenance can help in saving money and lowering downtime through prediction of equipment failure before it actually happens.

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What are the Use Cases of Machine Learning and IoT Combined Together?

Machine learning plays a vital role in transforming the IoT landscape with promising value benefits. The best way to learn about the significance of machine learning in IoT development involves a review of the practical use cases of machine learning for Internet of Things networks. Machine learning helps in improving intelligence of IoT devices through analysis of data produced by numerous IoT devices.

Some of the notable sectors in which the use cases of ML and IoT have been increasing are agriculture, healthcare, smart home automation, industrial automation, and self-driving vehicles. Here is an overview of the different ways in which machine learning improves IoT applications in various sectors.

• Agriculture

Over the next few years, the agriculture deficit would increase by huge margins. The increasing demand for food would require the adoption of ML and IoT together. The machine learning-IoT combination could offer exclusive benefits for agriculture by using technologies such as precision farming, AI-powered pest control, and crop monitoring. Precision farming tools use satellite data to optimize the use of fertilizers, and AI-powered pest control uses IoT sensors with machine learning for personalized treatment of pests and other potential conditions.

• Healthcare

The best use of IoT devices in healthcare points to the wearables that can monitor human body motion data and heart rate. You can use ML in IoT development for healthcare by embedding ML algorithms in wearables. Machine learning can utilize data regarding metrics from the wearables and provide an accurate representation of health conditions alongside recommendations for avoiding risks in the cardiovascular system.

• Smart Homes

The examples of applications of machine learning and Internet of Things in combination with each other also include smart homes. Modern homes use IoT devices in different ways, like smart speakers that help control thermostats, lights, and garage doors. The significance of machine learning role in IoT for smart homes can focus on the assurance of autonomy in homes. For example, smart home equipment with IoT sensors can use beacon technology to determine whether you are present at home. Ultimately, your home would interact with you by leveraging machine learning for effective processing of data points from IoT devices.

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Bottom Line

The review of the different ways in which you can use machine learning for IoT draws attention to its advantages. The advantages of machine learning include improvement in data analysis and automation and the benefits of predictive analytics. You can learn more about the importance of ML in IoT development by reflecting on real-world use cases. The different ways in which ML and IoT can be used in real-world scenarios prove the potential of the combination.

As the demand for IoT devices continues growing across different industries, machine learning can emerge as a boosters for IoT networks. Machine learning can help in improving the working of IoT devices with multiple advantages. Machine learning offers the benefits of real-time decision-making and accurate predictive analytics for IoT devices. Learn more about the fundamentals of machine learning and IoT now.

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In the dynamic and competitive business landscape, the reliance of businesses across diverse industries on IoT has risen. It has made it possible for companies to explore new possibilities that can act as a source of competitive advantage. In case you have narrow knowledge of the top IoT platforms, it is time to raise your awareness level.

The information can be very handy since it can empower you to manage your smart projects effortlessly. Since companies have started realizing the significance of IoT, they are leaving no stone unturned to adopt IoT technology. Before you choose an ideal IoT platform that meets your business needs, it is necessary for you to understand what exactly IoT platforms are.

What are IoT platforms, and why do you need them?

An IoT platform is a platform that supports seamless connectivity of devices in a remote manner. Such platforms support smooth functioning along with simple operations and simplify how business entities carry out their operations. Industrial IoT platforms serve as tools that help to bridge the gap between data networks and device sensors. Hence with the help of modern technology, you can gain insight into data that is utilized in backend applications.

In the contemporary business environment, IoT platforms are a blessing. By using these platforms, you will be able to collect data remotely, establish secure connections, and perform the execution of sensor management. That’s not all! Most importantly, with the help of IoT platforms, you can get an in-depth insight into the evolving needs of your target customers. Hence a win-win situation can be created. This is because you will not only have the upper hand over your competitors, but you can also fulfill your customer’s needs. 

Now that you have proper clarity of Internet of Things platforms, it is high time to integrate these tools into your business. However, it is essential to choose the best IoT platform that can help you meet your business goals and objectives. Read on to learn about some of the most popular IoT platforms that are ruling the business world these days. By the end of the IoT platform list, you can definitely pick out the platform that can aid you in your upcoming smart project.

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Top 10 IoT Platforms

The presence of IoT technology is expanding at a rapid pace right now. Especially in the business landscape, the use of IoT platforms has become an extremely common practice. Basically, business entities are leveraging innovative technology as a strategic weapon to gain a competitive edge over their rivals. In case you are yet to take the plunge, you do not have to worry. With the help of the IoT platform list, you can choose the perfect IoT platform for your business’ smart project.

• Cisco IoT Platform

Cisco IoT platform is among the most popular IoT platforms. Initially, the IoT platform was developed for mobile operators. However, today it is commonly used in diverse industries and sectors due to its user-friendly attribute.  You can easily integrate the robust platform to manage your next smart project. It offers ample flexibility, which makes it an amazing solution at both industrial as well as individual levels.

With the help of the IoT platform, you can make optimum use of the available IoT hardware components. The reliable set of routers, switches, gateways, and access points will enhance your experience of using the IoT solution. You will be able to derive maximum value from your collected IoT data by using the Cisco IoT platform. 

• Microsoft Azure IoT solution 

Microsoft Azure IoT Hub is a trusted IoT partner that you can ever wish for. With the help of the IoT platform, you will be able to efficiently build secure and scalable edge-to-cloud solutions. It is one of the flexible tools that are currently available in the market. You can make the optimum use of the ready-to-use elements, such as templates and tools, to create flexible business applications. 

The platform is among the best solutions since you can operate it even when you are in offline mode. The AI solutions that are available will help you to holistically leverage the platform to fulfill your business needs. Although the IoT platform is a great choice for all kinds of businesses, it is ideal in retail and healthcare. Similarly, you can also derive optimum value from it if your business operates in the energy sector or automobile industry.

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• Salesforce IoT

In the prevailing business domain, managing customer relations is crucial for businesses regardless of the industry in which they operate. In case your next smart project is about improving customer relations, there is no better option than Salesforce IoT cloud. This tool basically enhances the customer management area by leveraging IoT technology. It is among the top IoT platforms since it can collect insightful and rich data from interlinked devices.

By integrating the Salesforce IoT solution into your business process, you can offer tailored experiences to your customers. Therefore, you will be able to build strong connections with your target audience and strengthen your customer base. This IoT platform will enable you to get a comprehensive view of your customer data. Thus, by using the insights, you can enhance their experience and gain an edge over your business rivals.

• Bosch IoT solution 

One of the best IoT platforms examples that exist in the market today is Bosch IoT Suite. This open-source IoT solution offers middleware services to the users for performing end-to-end application development activities. One of the distinguishing features of the IoT platform is that it prioritizes the privacy of users. Hence you do not have to worry about data privacy and security.

With the help of the flexible solution, you can have seamless IoT integration without any kind of complexity. The icing on the cake is that you can use diverse devices like smartphones, tablets, or personal computers for accessibility. Since the IoT platform is capable of performing real-time analytics, you can derive maximum benefits from it.

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• IBM Watson IoT platform 

In case you are bothered by the question – What is the most important IoT platform? the answer is simple. IBM Watson IoT platform, which is built on IBM Cloud, is an ideal solution. It acts as a scalable and flexible solution that can give a boost to connectivity options. Moreover, the secure quality of communication will ensure that your collected data is totally safe.

One of the core features of the solution that you must be aware of is direct access to the latest data. With the help of the IoT platform, you can make well-informed decisions while working on your smart project. Some of the main use cases where the solution is an ideal option include supply chain management and regulatory compliance. Similarly, it can be of immense help for building management as well as energy consumption. 

• RTI IoT platform 

The RTI IoT solution is one of the earliest tools that has its presence in diverse industries and businesses. It is known to offer robust connectivity features along with control. Hence by capitalizing on this solution, you can optimally manage IoT systems by simplifying the communication flow. One of the major highlights of the IoT platform is that it supports simple integration of new assets with the current ones. 

The platform is one of the best industrial IoT platforms, which offers efficient as well as scalable data processing mechanisms. You do not have to worry about making frequent upgrades and integration work. It will fundamentally enhance interoperability among diverse system elements and components. The series of productivity-enhancing elements in the IoT platform can ensure that you can derive maximum worth from it.

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• Amazon AWS

Amazon AWS IoT Core is one of the most popular IoT platforms examples that are available today. It is a leading solution that enables businesses to establish a connection between devices and AWS cloud services. The best thing is that there is no need for you to manage servers. It acts as a comprehensive solution that takes care of reliability along with security while managing a plethora of devices.

If you plan to use Amazon AWS IoT, you can utilize other AWS services as well. Since there is end-to-end conscription at all levels of connectivity, the level of security is top-notch. This IoT solution can surely give a major boost to your smart project efforts.   

• Samsung ARTIK

Samsung ARTIK is a relatively new IoT platform. This platform basically unifies diverse elements, including software, hardware, security, and cloud, in a single place. It is capable of supporting the seamless connection of hardware components with cloud services. ARTIK offers end-to-end IoT solutions to clients. It is especially a perfect IoT platform if you want to carry out management and product development operations. 

The IoT platform supports the collection, storing, and managing of data in addition to their secure transfer between devices. The simple device management feature will ensure you can handle your smart project effortlessly. 

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• ThingWorx

ThingWorx is rightly known to be among the trailblazers when it comes to the development of top IoT platforms. With the help of the robust solution, you will be able to have scalable and fast data processing at your disposal. Due to the flexible nature of the IoT solution, you can adapt it to meet your exact business needs. It is capable of syncing the data with the business needs. Hence you will be able to extract maximum worth from the innovative IoT solution. 

By integrating the IoT platform, you will be able to optimize the work processes of your business. The attributes pertaining to device connectivity can ensure that you can work smartly on your smart projects. 

• Oracle IoT platform

The IoT platform by Oracle is an effective tool that can help you connect your business devices to the cloud. With the help of the solution, you may not only create robust applications but connect them to devices such as Android, iOS, etc. The ability to automatically synchronize the data streams can further assist you in your smart project. This platform is commonly used for activities such as smart manufacturing, safety at the workplace, and predictive maintenance. 

By integrating the OOT solution by Oracle, you can have higher visibility and insights. Hence you will be able to make important decisions that can guide your projects toward success. 

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Conclusion 

IoT platforms have become a necessity these days for business entities. You can take the help of the above list to answer the question – What is the most important IoT platform? While selecting an IoT platform, you need to focus on the exact needs of your business. Such an approach will make the selection process easier for you. After you start using a suitable IoT platform in the business context, there is no looking back for you. You will be able to optimally use technology to carry out your business activities.

As numerous IoT platforms are emerging, you must carefully make your choice. In addition to focusing on your requirements, you need to prioritize the technical capabilities of the provider. After the appropriate parameters are met, you can make the final selection of an IoT platform for your business. Then there will be no one to stop you from excelling in your future smart projects and endeavors. By optimally leveraging technology, you can set an example in the business domain.

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From a broader perspective, IoT denotes the combination of computing, the physical world, and networks for creating interconnected and smart systems. The smart systems based on IoT have capabilities for the collection and analysis of data in real-time alongside taking relevant actions. How could IoT define the technological landscape of the future? The following post helps you find answers with a detailed introduction to Internet of Things and its components.

Where Did IoT Come From?

The introduction to Internet of Things or IoT also focuses on the starting point for IoT. Where did IoT find its origins? Before you find answers to “What is Internet of Things?” you should know that the term was introduced in 1999. A British technology pioneer, Kevin Ashton, came up with the term Internet of Things.

He had envisioned a world in which all the objects could connect to the internet and interact with each other seamlessly without human intervention. However, the IoT we witness today features a combination of different trends, such as emerging wireless technologies and introduction of low-cost microcontrollers and sensors. Furthermore, the rise of big data analytics and cloud computing also played a crucial role in expansion of the IoT landscape.

Another highlight in an Internet of Things tutorial points to the early adoption of IoT. In the initial stages, companies using IoT were primarily restricted to industrial and manufacturing settings. Industrial and manufacturing companies utilized sensors alongside other embedded devices for the automation of their operations.

In addition, the companies also leveraged IoT for optimization of their production processes. Internet of Things has become an integral part of the daily lives of people across multiple examples, such as wearable devices, smart homes, smart healthcare systems, and connected cars. IoT has played a crucial role in transforming the ways we follow for interacting with technology and each other.

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What is Internet of Things?

The next important concern in a guide to Internet of Things would point at the definition of IoT. You can understand the IoT architecture only by understanding the fundamental highlights of IoT. Internet of Things refers to physical objects equipped with sensors, processing power, software, and other technologies for connecting and transferring data with other systems and devices across the internet and other communication networks. In other words, IoT could be described as a network of interconnected devices like sensors, cameras, and electronic equipment. The devices can be programmed to ensure automation of connected devices in the IoT network.

IoT is one of the popular concepts which have gained significant popularity in the last few years. The interest in components of IoT has been growing higher as the possibilities of IoT imposing a massive impact on the future of mankind have been becoming more prominent. IoT could help people by providing more control over devices in their surroundings and the flexibility for transforming real-world objects into smart, automated virtual devices.

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What Will You Find in the Internet of Things Ecosystem?

The Internet of Things ecosystem includes a massive network of interconnected devices that collect, exchange, and share data on the cloud or a physical database. Beginners could find out how IoT works by reflecting on building blocks of the industry-grade IoT systems.

For example, industry-grade IoT systems feature multiple components in their architecture for different functionalities such as software, hardware, connectivity, and analytical capabilities. What are the essential components of an IoT system? The answer could vary from business to business, depending on their requirements. However, you can find some general components in an IoT infrastructure independent of the type of ecosystem.

• IoT Devices 

The first thing you need to learn about architecture of IoT would refer to devices. IoT devices are an integral component of the Internet of Things ecosystem as they serve as the foundations of the IoT network. For example, sensors work as an important tool in the IoT ecosystem for ensuring accuracy and credibility of data.

Furthermore, devices in architecture of IoT ecosystem also include microcontrollers and physical appliances associated with IoT devices. The two most common devices in IoT ecosystem include sensors and actuators. Sensors are responsible for collecting small data from surroundings of the IoT devices. Sensors can also be defined as detectors, as they can detect the slightest changes in the environment.

Actuators are also an important highlight in Internet of Things examples as they focus on taking action. It is reasonable to notice that actuators work exactly in the opposite manner of sensors. Actuators receive a command or signal and perform the relevant action. Actuators are equally important as sensors because they have to work on the trigger identified by sensors in the environment.

• Network

The second important highlight in description of architecture of Internet of Things points to the identity of IoT as a network. From a general perspective, the IoT architecture is similar to a network of sensors, actuators, devices, and the cloud. However, all the components in the network could not deliver the desired results independently.

Therefore, all the components must interact with each other for processing data and implementing the associated actions. It is important to remember that the network layer is the second addition to the complex IoT ecosystem. The network layer features protocols and IoT gateways as the primary components.

Protocols serve as the channel between sensors and the cloud with the help of an invisible language for enabling communication between physical objects. Some of the most popular wireless IoT protocols include Wi-Fi, Bluetooth, MOTT, DDS, and others.

Another important addition among components of IoT in the network layer refers to IoT gateways. Gateways work on interpretation of network protocols alongside pre-processing the data before transferring sensor data to the cloud. As a result, the IoT gateways could ensure seamless communication across different devices within the network.

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• Security 

The security element in an Internet of Things ecosystem points to the components for defining access control in an IoT network. In addition, the security component also addresses the need for security of data transfer, scanning for problematic software, and preventing data leakage. Furthermore, the security element in IoT also involves software and firmware from popular security providers, such as Azure Sphere.

• IoT Gateway

IoT gateways refer to the physical devices which could transmit data from sensors to the IoT cloud and vice versa. The IoT gateways are important additions for explaining how IoT works by ensuring data preparation before transferring data to the cloud. Most important of all, IoT gateways ensure that IoT devices can connect to the internet without any intermediaries.

• IoT Cloud 

The introduction to Internet of Things explained for beginners would also shed light on the importance of IoT Cloud. Once the sensor data has been uploaded to the cloud, the network should process the data. The IoT Cloud serves as a high-performance facility for storing and managing massive volumes of data. It also serves as the primary destination for making critical decisions within milliseconds.

IoT Cloud could serve as the brains for the IoT ecosystem alongside guaranteeing massive processing capacity, storage capabilities, and networking options. In addition, the IoT Cloud also brings the value of analytics and IoT service alongside ensuring quicker availability of information to customers.

• IoT Analytics and Data Management 

The components in an Internet of Things ecosystem also draw attention to the element of IoT analytics and data management. An IoT system could make sense of the massive volumes of sensor data only by using IoT analytics. The detailed overview of an Internet of Things tutorial for beginners would help you identify how IoT analytics focuses on transforming raw data into actionable insights.

For instance, it could help in determining the KPIs for an application where you want to look for problems or inconsistencies. The utility of IoT analytics could be seen in simple examples such as detection of temperature in a room or forecast for trends in business performance.

• User Interfaces and End-user Experiences

The final addition among the important components of IoT systems points to the user interfaces. Interestingly, the user interface is the visible component of an IoT network for users. You can access an IoT system directly from the end-user device or through internet-connected devices like laptops, tablets, and smartphones.

Users could also connect with their desired IoT devices or ‘things’ directly through the internet. For example, you can connect with smart appliances in your home through assistants such as Google Home and Amazon Alexa. Therefore, it is important to ensure that IoT user interfaces should be well-designed and user-friendly.

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Common Examples of IoT Applications and Services

The introduction to Internet of Things also draws attention to IoT applications and services which can deliver value to users. How can devices connected to each other through the internet deliver value? You can find the answers in different industries with a wide range of opportunities and challenges. Here are some of the common examples of applications of Internet of Things.

• Smart Homes

The most common addition among Internet of Things examples would point to smart homes. Smart devices such as cameras, smart thermostats, lighting systems, and electrical appliances could work in unison to improve living experiences. For example, the interconnectivity among appliances at home could help in offering a more secure, comfortable, and energy-efficient living experience. The appliances could use sensor data and use preferences for adjusting temperature and other settings for optimizing energy consumption.

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• Smart Cities

Building upon the concept of smart homes, IoT could also play a critical role in building smart cities. Smart cities could utilize Internet of Things to improve urban infrastructure and utilities such as public safety, water supply management, and traffic management. The effective use of IoT devices could help with multiple value benefits, such as reducing congestion in traffic or optimizing routes for collection of waste.

• Agriculture 

Another popular industry that has actively embraced the applications of IoT is agriculture. The explanation for how IoT works in agriculture would point to the use of Internet of Things for livestock monitoring and precision farming. For example, Internet of Things devices could collect data regarding soil nutrient levels, temperature, and moisture. The data collected by devices could help in optimizing irrigation and fertilization strategies. IoT could also power livestock monitoring systems for tracking the location and health of animals.

• Industrial IoT 

The biggest highlight among the popular IoT applications would point to Industrial IoT or IIoT. Industrial IoT is one of the most significant examples of applications of Internet of Things. It focuses on using IoT to improve safety, efficiency, and productivity in industrial sectors.

The IIoT systems could help in monitoring performance of industrial equipment alongside identifying the need for predictive maintenance. In addition, Industrial IoT also aims at optimizing production processes by leveraging data from sensors alongside advanced analytics. As a result, Industrial IoT could help in earlier detection of signs of failure, thereby improving proactive maintenance and reduction of downtime.

Learn the latest insights about the IoT (Internet of Things) and understand how it’s related to the blockchain with industry experts with IoT Skill Path!

Conclusion 

The value of Internet of Things revolves around the capability to transform gadgets and devices around us into smart appliances. For example, IoT devices such as smart refrigerators or security cameras could improve the quality of life in domestic settings. You can switch off the lights in your home remotely from your smartphone, thereby saving energy costs.

Similarly, you can keep an eye on your home while you are at the office by using smart IoT-connected cameras. The examples of IoT use cases would also point to the influence of Internet of Things on agriculture and other industries. In the long run, IoT could create an independent ecosystem of devices that run according to user preferences. Learn more about the fundamentals of Internet of Things and the reasons to use IoT for the future of technology right now.

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IoT has also proved useful in increasing patient satisfaction and engagement through easier and more efficient interactions with healthcare professionals. Remote monitoring of patients could also provide effective solutions for reducing the duration of patients staying in the hospital. At the same time, the use of IoT in healthcare can also support a significant reduction in healthcare costs alongside ensuring better treatment results. The advantages of IoT for healthcare services as one of the prominent reasons to learn about application of IoT in healthcare.

IoT ensures the benefits of improved interconnectivity among medical devices, obtaining insights from IoT data for better medical decisions and streamlined delivery of healthcare services. The following post offers you comprehensive insights into the applications of IoT for healthcare. 

How Does IoT Transform Healthcare?

Before you find out the list of IoT applications in healthcare, it is important to understand the impact of IoT on healthcare. How does the use of IoT in the healthcare industry induce transformative changes? Interestingly, Internet of Things provides seamless connectivity in digital healthcare applications, which improves user experience. The global internet of medical things or IoMT market could reach a market capitalization of almost $187.6 billion by 2028. 

In addition, the answers to “What are some facts about IoT in healthcare?” would also point to the staggering growth of remote patient monitoring. Predictions suggest that the number of remote patient monitoring or RPM users in the US will reach almost 70.6 million by 2025. As a matter of fact, the global market for RPM systems would have a market capitalization exceeding $1.7 trillion by 2027.

The statistics about impact of IoT in healthcare show the scale of transformation IoT introduces in healthcare. At the same time, it is also important to learn about the ways in which Internet of Things helps different participants in the healthcare ecosystem. Here is an outline of the different ways in which IoT changes healthcare for patients, physicians, insurance companies and healthcare providers. 

• Impact on Patients 

The effect of IoT on healthcare for patients is visible in the adoption of IoT devices. Access to IoT devices such as wearables, such as fitness bands and heart rate monitors or glucometers can help patients personalize their healthcare routine. The application of IoT in healthcare industry can help patients keep track of their health through different metrics. Some of the important metrics adopted by patients include calorie count, blood pressure fluctuation, medical appointments and exercise checks. 

• Impact on Doctors

The influence of IoT in healthcare also encompasses value benefits for doctors. For example, remote patient monitoring can help doctors in tracking patient health with better accuracy and efficiency. In addition, the benefits of IoT in healthcare for doctors also help in checking whether patients follow recommended treatment plans. 

IoT solutions can also help doctors support patients in the event of a need for urgent medical attention. Internet of Things can also help doctors with more proactive interactions with their patients. On top of it, the data obtained from IoT devices could support doctors in figuring out the ideal treatment processes.

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• Impact on Healthcare Institutions

The study of IoT’s effects on healthcare would invite the necessity for learning about how IoT affects healthcare institutions and service providers. For example, the use of IoT for asset monitoring can help hospitals in tracking the real-time location of healthcare equipment. Furthermore, IoT-based systems could help in real-time analysis of the deployment of medical staff at multiple locations. IoT devices can also support healthcare institutions’ inefficient inventory management, such as environmental monitoring and inventory control. 

• Impact on Insurance Companies

The overview of how IoT affects healthcare industry would also draw the limelight on insurance companies. The use of IoT in healthcare can help insurance companies in using IoT data for improving claims and underwriting operations. Effective analysis of IoT data could help in detecting fraud claims alongside improving transparency between customers and insurers. 

Expand your knowledge of IoT with comprehensive IoT Flashcards explaining terms and technologies,

Most Popular Applications of IoT in Healthcare

The transformative impact of IoT in healthcare creates curiosity regarding the existing applications of IoT for healthcare. Here are some of the most popular IoT-based applications which have been changing traditional processes and systems in healthcare.

• Remote Patient Monitoring 

The review of answers to “What are some facts about IoT in healthcare?” revealed how Remote Patient Monitoring or RPM services are expanding at a staggering pace. RPM systems are the most common IoT application in the domain of healthcare. IoT devices could ensure automatic collection of health metrics such as temperature, blood pressure, heart rate and other vital stats. The interesting thing about RPM systems is that patients do not have to visit a healthcare facility to collect important data about their health.

After collecting patient data, the IoT device sends the data to an application where patients or doctors can see it. Subsequently, such applications of IoT in healthcare industry also use algorithms that can analyze the IoT data for recommended personalized treatment plans or alerts. For example, IoT sensors can detect irregular inpatient heart rates and send alerts to healthcare professionals for intervention. 

• Heart-Rate Monitoring

Continuing with the example mentioned for Remote Patient Monitoring applications of IoT, you can also consider heart-rate monitoring devices as another example of IoT in healthcare. Understanding ‘what is IoT in healthcare’ could help you understand how IoT can play a crucial role in avoiding cardiac health problems. Frequent heart rate tests at regular intervals do not provide an impression of fluctuations in heart rate. On the other hand, traditional devices used for monitoring heart rate at hospitals have complex setup which restricts mobility. 

As of now, you can access a variety of IoT devices for heart rate monitoring. The devices help patients move around freely while ensuring consistent monitoring of their heart rates. On top of it, the assurance of accurate rates of over 90% in IoT-based heart rate monitors also guarantees promising healthcare benefits.

Want to familiarize yourself with the technology stack associated with IoT? Enroll now in Internet Of Things (IoT) – Intermediate Level Course

• Glucose Monitoring 

Diabetes is one of the biggest chronic health conditions affecting millions of people worldwide. In the US alone, 30 million diabetes patients struggle with glucose monitoring. Regular checking of glucose levels alongside a manual recording of results could help in detecting anomalies. 

Interestingly, the use of IoT in the healthcare industry has enabled devices for continuous and automatic monitoring of glucose levels. Glucose monitoring devices reduce the necessity of maintaining manual records and could provide timely alerts for problematic glucose level indications. 

• Mood Monitoring Devices

Safeguarding mental health has emerged as one of the top priorities in healthcare recently. On the other hand, difficulties in collecting data about symptoms of depression of general mood variations of patients create challenges for mental health improvements. Healthcare providers could ask patients about their feelings, albeit without any scope for predicting abrupt mood swings. 

Reflecting on answers to “What are some facts about IoT in healthcare?” would help you find information about the use of ‘mood-aware’ IoT devices. The IoT devices for monitoring the mood of an individual measure blood pressure and heart rate. The devices would then use the information about heart rate and blood pressure to come up with conclusions about the mental state of an individual.

Interestingly, advanced IoT devices for facilitating mood monitoring could help in tracking data such as eye movements of the patient. However, mood monitoring devices are still in the nascent stages of development and cannot provide accurate alerts about depression.

Learn the latest insights about the IoT (Internet of Things) and understand how it’s related to the blockchain with industry experts with IoT Skill Path

Innovative Applications of IoT in Healthcare

The detailed impression of “what is IoT in healthcare” and its applications would also include details of innovative IoT applications. Some of the potential IoT applications in healthcare which could change the future of healthcare include,

• Ingestible Sensors

Ingestible sensors are a revolutionary IoT application in healthcare for collecting data from digestive and other organ systems. Such types of sensors could offer insights into stomach pH levels and are easy to pass through the human body.

• Robotic Surgery 

Robotic-aided surgical procedures have emerged as one of the striking highlights in the healthcare industry. Imagine the impact of IoT in healthcare sector with the introduction of IoT-enabled robots capable of surgery. Small IoT-connected robots could help in performing complex surgical procedures with minimally invasive processes, which ensures faster healing. 

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Examples of IoT Applications in Healthcare

The different types of applications of IoT for the healthcare sector showcase impressive potential. How can you evaluate the real potential of IoT for transforming the healthcare sector? You can find a better impression of the benefits of IoT in healthcare by reviewing the details of real-world examples. Here are some of the popular real-world examples of the applications of IoT for healthcare.

• ZOLL Medical Corporation has come up with an IoT-enabled cardiac monitor which helps maintain seamless connection between patients and healthcare providers.
• The heart rate monitoring devices by AliveCor, such as the EKG device, help in detecting different types of arrhythmias. 
• Nexleaf Analytics has invested in IoT technology to improve conditions for cooking and vaccinations in less developed countries. The ColdTrace system by Nexleaf helps in remote temperature monitoring for vaccine refrigerators in rural health facilities and clinics. 
• The examples for use of IoT in healthcare would also focus on a leading pharmaceutical giant, Pfizer. It has adopted IoT in different areas, particularly with the collaboration with IBM for supporting immuno-oncology research. In addition, Pfizer has also deployed IoT technology to support the development and distribution of COVID-19 vaccines. 
• Aeris Communications has developed an IoT-based platform to support healthcare providers and medical device manufacturers in interacting with patients. The IoT platform helps in ensuring that patients follow recommended medical advice, such as medication frequency and dosage.
• The Genesis Touch application by Honeywell is another example of how uses of IoT for healthcare can create revolutionary outcomes. Genesis Touch platform helps patients connect with remotely located healthcare professionals. The platform helps healthcare providers access biometrics data of patients through a dashboard.

Learn the latest insights about the IoT (Internet of Things) and understand how it’s related to the blockchain with industry experts with IoT Skill Path

Conclusion 

The detailed response to “What are some facts about IoT in healthcare?” alongside the influence of IoT on healthcare showcases the significance of IoT. Internet of Things not only introduces connectivity but also supports many other functionalities for reforming healthcare services. 

IoT can introduce new and efficient approaches for patients, doctors and healthcare organizations to make the most of healthcare services. The understanding of ‘what is IoT in healthcare’ would vary according to different perspectives of patients and healthcare providers. Ultimately, IoT serves groundbreaking improvements in quality of care and cost reduction alongside improving patient experiences. 

At the same time, healthcare providers can ensure efficient allocation and utilization of resources. Similarly, doctors could find streamlined approaches for delivering healthcare services personalized to the needs of each patient. Learn more about IoT and its applications in the real world right now.

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Internet of Things has come up with new prospects for skilled professionals and engineers. As the demand for IoT professionals continues increasing, the discrepancy between demand and supply will expand further. Almost 47% of businesses have to outsource their IoT projects as they do not have the right people to address IoT job responsibilities. 

The existing IoT landscape has multiple career opportunities for a Certified IoT expert or trained professional. You can notice how the number of IoT-connected devices has been increasing, thereby signaling broader adoption of IoT. Internet of Things technology is still in the nascent stage and has shown valuable potential for transforming different industries. Let us learn more about the important pointers for building your career as an IoT professional in the following post.

Why Should You Look for a Career in IoT?

The first thing you need to check before pursuing a professional role in IoT industry would point out the reasons for same. Will a career in IoT offer the career benefits you have always imagined about? You can pursue an IoT course and certification by investing resources and efforts. However, it is also important to know whether the course and certification will help your IoT career. A single decision can decide the course of your future, thereby implying the need for caution when choosing opportunities for a career as an IoT professional. 

One of the most important reasons to look for career opportunities in IoT would refer to the novelty of IoT. The career of a Certified Internet of Things professional would offer long-term options for improving career development prospects. You can learn about IoT and explore different job roles as an IoT professional alongside ensuring job security. 

Internet of Things has come up with an effective answer for using embedded sensors that can help in exchanging information. Take a look at the ways in which smart cameras can offer better results in remote monitoring of your home. Similarly, wearable devices can work by tracking and storing relevant health information about individuals in a customized profile. 

Want to understand the fundamentals of the Internet of Things (IoT)? Enroll Now in IoT Fundamentals Course!

Market Outlook for IoT

The global IoT market could be worth almost $1.1 trillion by 2023, implying that businesses would seek reliable alternatives for adopting IoT. At this point of time, the IoT market has emerged as a promising complement to industrial operations. Candidates want to become IoT expert with fluency in the different ways for employing IoT solutions in industrial use cases. The industrial use cases of IoT devices are visible in examples such as pressure sensors in oil and gas pipelines.

The pressure sensors can ensure the benefits of remote monitoring, while moisture sensors can offer better tracking of water levels. Internet of Things solutions aim at resolving many of the existing problems across multiple industries. Therefore, the applications of IoT across different sectors would gradually gain the top spot among strategic priorities of leaders. 

Many candidates interested in IoT job opportunities would have doubts regarding the sustainability of their careers in the field of IoT. Will you have a long-term and secure career in IoT? The answer is most likely to point you toward the different industries in which IoT has generated job opportunities. 

As a certified IoT expert, you can look for employment opportunities across different industries, such as software development and embedded system cybersecurity. The noticeable industries which have been leveraging the value of IoT include manufacturing, consumer products, agriculture, healthcare, transportation, and utilities. You can expect the number of jobs in IoT to grow by significant margins in the future.

Expand your knowledge of IoT with comprehensive IoT Flashcards explaining terms and technologies,

What Types of Jobs Are Available for Certified IoT Professionals?

The skills of a certified professional in Internet of Things technology can provide the right ingredients for pursuing reliable career paths. Do you want to prepare for an IoT certification course and become a certified expert? You must have a clear impression of how you can choose different career options based on your expertise in IoT. Here are the popular career roles you can explore in the domain of IoT as a certified professional. 

• IoT Developer

The first and most common role in the domain of IoT refers to IoT developer, who has to create applications that dictate the functionality of devices. IoT developers can use programming languages and standard APIs to create new IoT solutions with crucial value advantages. 

You should note that the efforts to become certified IoT professional can lead you toward the practical responsibilities of developers. IoT developers have to supervise the development of software required for supporting IoT applications. In addition, the tasks of IoT developers also involve the use of software tools for managing large repositories of data alongside leveraging algorithms for data analysis.

• IoT Architect

The next popular job role for certified experts in the field of IoT is that of IoT solutions architect role. IoT solutions architects must take responsibility for defining the broader strategy of the company for adopting IoT technology. The job of IoT architects focuses on creating and implementing strategies involving design of IoT sensors, actuators, and platforms. Most important of all, the scope of responsibilities in the role of an IoT solutions architect also includes references to high-level design of IoT architectures. 

• IoT Solutions Engineer

Another prominent job role you can identify in the IoT landscape is the IoT solutions engineer role. The functionalities of IoT networks allow the flexibility for customization to address a wide variety of needs. You can complete an IoT certification course and seek opportunities for creating new solutions from existing technologies. 

The responsibilities of an IoT solutions engineer focus on working with customers to identify the important requirements of IoT solutions that could address their requirements. IoT solution engineers must rely on a technical approach for identifying the types of wireless technology, sensors, and other components. 

Want to learn about the important skills required for becoming an IoT engineer? Read here Top 10 Essential Skills Required To Become An IoT Engineer

• IoT Embedded Systems Designer

The embedded systems designer role in the IoT landscape is also another promising opportunity for certified IoT experts. You can become an embedded systems designer in IoT with an in-depth understanding of microprocessors, sensors, and software required for IoT applications. 

Candidates can become IoT expert and look for exclusive career opportunities in designing device-specific embedded devices. IoT embedded systems designers have to work on the hardware with their in-depth knowledge regarding the devices which would use the embedded systems. 

What Skills Do You Need to Become IoT Professional?

The tag of ‘IoT Professional’ in the resume of a candidate is not an easy achievement. You have to invest your efforts and time in learning crucial IoT skills which validate your role as a professional IoT expert. Do you want to pursue an IoT course and certification for a lucrative career in IoT? If yes, then you need to learn the following skills to become a certified professional in IoT. 

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• Data Analytics

One of the significant highlights of the IoT market is the opportunity to access and use massive treasures of data. As a matter of fact, the basic objectives of IoT revolve around obtaining desired insights from data collected through IoT devices. Therefore, you should look beyond an IoT certification and seek opportunities to improve your skills as an IoT professional. 

The important skills in data analytics demand skills in statistical understanding alongside a presentation of findings from the data in a tabular format. Candidates would require statistics-based languages alongside fluency in Python libraries for IoT professional roles. 

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• Networking 

The next important skill required for an individual seeking the best certifications and career opportunities in IoT would point to networking. You can notice how massive chunks of wires and sensors in IoT networks can lead to complexity. As a Certified Internet of Things Professional, you must have an in-depth understanding of IoT networking fundamentals. Most important of all, you should have the capability to design efficient network architectures which follow all communication protocols. 

• Hardware and Devices 

The list of skills demanded by IoT professionals would also point to hardware and devices. You can find it difficult to imagine IoT without hardware and embedded devices. Organizations have to adjust their devices to accommodate suitable networks which would work according to the desired objectives. IoT professionals must know about the working of different sensor modules, protocols, and transmitters. Furthermore, IoT professionals must also learn about integrators and other new updates in the IoT hardware stack. 

• Blockchain and AI

The two most revolutionary technologies which can revolutionize the existing state of IoT include blockchain and AI. Blockchain technology can power up the IoT landscape with assurance of improvements in security. The responsibilities of a Certified IoT Professional would point to the ways in which an IoT professional should use new technologies to improve the value of IoT. 

Blockchain can provide an effective solution for safeguarding massive loads of user data from unauthorized access. On top of it, AI and ML would evolve as prominent contributors to the IoT landscape for enhancing the possibilities to obtain relevant insights from IoT data.

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Best Practices for Becoming Certified IoT Professionals

The scope for career development as an IoT professional is a clearly visible reason for pursuing a career in IoT. However, it is also important to identify the path to achieving your career objectives. Here is an outline of the pointers recommended by experts for pursuing a career in IoT. 

• Know the Skills You Have to Learn

The first thing you need to learn before pursuing an IoT certification to become a certified professional is the list of skills required for the job. A clear impression of your planned career path and objectives can serve as vital support for determining the type of skills you need. Some of the prominent mentions among the skills required for IoT professionals would include cloud computing, AI, blockchain, and data analytics. These essential skills are useful for marking a distinct highlight in the portfolio of an IoT professional. 

• Learn from a Technical Perspective

One of the most important elements that can help you achieve the skills of a certified IoT expert is to learn IoT from a technical perspective. Smart embedded devices serve as the foundation blocks of IoT networks. IoT professionals need to learn how to build IoT architectures from scratch, learning from a ‘device-first’ approach. The ability to visualize IoT system architectures on the basis of technical specifications of IoT hardware and devices can help you create innovative IoT solutions. 

• Importance of Training Courses and Certifications  

The final and most important requirement to become certified IoT professional is a ‘certification.’ In addition, you need to learn the basics of IoT and the technology stack underlying IoT networks with comprehensive training courses. The search for reliable IoT training courses and certifications can lead you to multiple destinations. 

However, you should be careful about choosing training courses and certifications so that the learning outcomes can help you gain fluency in IoT. The practical examples of IoT applications and solution architectures could help you familiarize yourself with the technical aspects of creating IoT solutions. 

Furthermore, you should also pay attention to the dedication required for completing IoT course and certification objectives. Employers are more likely to trust a certified candidate with IoT expertise rather than uncertified candidates. The certification not only recognizes your skills but also shows your dedication to IoT.

Want to familiarize yourself with the technology stack associated with IoT? Enroll Now in Internet Of Things (IoT) – Intermediate Level Course!

Conclusion 

The journey of pursuing a career in IoT can start with a simple training course. Over the course of time, you can come across different topics in IoT fundamentals and learn about the value of IoT for business. You should also learn the best practices to become IoT expert and follow the important recommendations by IoT experts for your career. The best thing about IoT career paths is the opportunity to seek long-term career development benefits. Find more information about IoT career development with a reliable training course provider right now.

The post How to Become a Certified IoT Professional? appeared first on 101 Blockchains.

Does IoT offer the career roles you want? Do you have to skills to work in IoT jobs? How will IoT certifications help you? You might come across many other questions like these while exploring a career in IoT and learning about the multiple disciplines in IoT. Aspiring IoT professionals must also familiarize themselves with important areas such as security hardware, device programming, systems engineering, and cloud networking.

The task of building your career as an IoT professional would also include references to professional training courses and certifications. You can learn IoT concepts by using professional training courses and achieve specialization in implementing the concepts through credible certifications. The following post offers you a detailed overview of the advantages associated with a professional certification for Internet of Things. 

Why Should You Become a Certified IoT Professional?

The most common question you can come across in the search for best Internet of Things certifications deals with the reasons to become an IoT professional. Aspiring professionals would think of answers to “Is IoT certification worth it?” before investing their time and efforts in training. On top of it, Internet of Things is a comparatively new technology for the world with limited real-world use cases. 

As of now, the applications of IoT in industrial settings limit the exposure of IoT to the general public. However, it is important to note that IoT has become an integral part of the everyday lives of people. According to IoT Analytics, the total number of connected IoT devices could reach around 16.7 billion active endpoints.  

Another important factor underlying the growing demand for IoT professionals is the outline of important advancements in IoT connectivity technologies. Before you find out the benefits of IoT certification, you must have doubts regarding the adoption of IoT in future. Will your Internet of Things expertise serve value advantages for your career in the long run? 

The investments in IoT startups have declined within the last year, albeit with a sizeable amount attributed to startups. Within the first quarter of 2023, around 52 IoT-related funding rounds led to a total investment of almost $840 million. Therefore, you can find a broad range of career opportunities to build your identity as an IoT professional in emerging startups.

Want to familiarize yourself with the technology stack associated with IoT? Enroll now in Internet Of Things (IoT) – Intermediate Level Course!

How Does a Career in IoT Look Like?

The decision to pursue an IoT certification course can be quite confusing for some people. You can solve such types of confusion by exploring the different career opportunities for IoT professionals. For example, you can prepare for top roles such as embedded programs engineer, safety engineer, sensors, and actuator professional in the field of IoT. 

In addition, you can also explore many other career prospects in IoT, especially in the domains of data analytics, networking structure, user interface design, and IoT security. The job of a professional in the domain of IoT offers the advantage of versatility as you can choose different roles. 

Furthermore, the salary of an IoT professional can vary from $120,000 to over $145,000 per year. The salary estimate for certified IoT professionals could vary significantly on the basis of different factors, such as education, certification, number of years, and additional skills. Therefore, you can conclude that a career in IoT can offer feasible opportunities for professional development in the long run. 

At the same time, it is also important to notice how different sectors are tapping into the potential of IoT for creating interconnected networks. On top of it, IoT also plays a vital role in optimizing the workflow of different industrial operations, particularly in manufacturing. As a result, skilled and certified IoT professionals would become vital necessities for such businesses. 

Want to learn about how to become an expert in IoT? Checkout detailed guide Step By Step Guide To Become An IoT Expert now!

Significance of IoT for the Future

The importance of IoT as a crucial technology trend for the future is a prolific indication of its ability to withstand the test of time. Internet of Things courses and certifications are gradually gaining popularity because businesses are gradually increasing IoT usage. The desire to learn IoT and achieve a professional certification might be fuelled by job opportunities or the predicted future of IoT. Interestingly, the use cases and potential of IoT provide a broad range of reasons to think about pursuing a professional IoT certification. 

Internet of Things is an important requirement for the future as it would encourage the development of intelligent machines which can communicate with each other and with humans. For example, smart appliances offer functionalities for controlling their operations through smartphones, even if you are away from your home. 

You can operate a CCTV camera installed in your home from your office through an app on your smartphone. Imagine how IoT technology could improve user experiences in the future, with the facility of integrating other technologies, such as blockchain, AI, and machine learning. 

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How Will IoT Certification Help You?

The reasons to pursue a career in Internet of Things provide a clear impression of the benefits for IoT professionals. You can find responses to “Is IoT certification worth it?” through a review of the examples of companies using the Internet of Things. Here are some of the noticeable highlights among the advantages of IoT certification for aspiring IoT experts.    

• Stand Out from the Crowd

One of the foremost benefits associated with an IoT certification course points directly to the distinction from other candidates. Certified professionals are the obvious favorite over non-certified candidates for any job in the domain of technology. The benefits of IoT certification are clearly visible to employers and hiring managers who want expert professionals on the job. In addition, hiring managers are more likely to give your resume a second look when they find a mention of an IoT certification.

• Boosts Job Retention 

If you are not searching for a new job, then you can choose an IoT certification for crafting job retention strategies. The existing economic environment is highly volatile, and people could lose their jobs anytime with the massive layoffs by businesses worldwide. Most businesses have been implementing layoffs as a method for cutting costs. 

On the other hand, you must identify how certification can help you learn IoT and prepare yourself as a vital asset for your organization. As a professional IoT expert, you can showcase your dedication to professional development and learn about new technologies. Most important of all, you can prove your capabilities to deliver value to the business with effective use of IoT technology.

• Easier Access to Networking Prospects

After earning an IoT certification, you can become a part of a community of skilled and certified professionals. You could use this opportunity to expand your professional network for access to appealing employment prospects. Interestingly, the use of an IoT certification to boost your career would also draw references to how professional networks can help in other ways. 

For example, the virtual communities of certified IoT professionals can serve as the ideal platforms for seeking guidance on enhancing your career. In addition, the communities of certified IoT professionals can also serve as an ideal platform for answers to certain problems. Certified IoT professionals can also rely on the advantages of professional networking to learn insights about specific technical concepts. 

Learn the latest insights about the IoT (Internet of Things) and understand how it’s related to the blockchain with industry experts through IoT Skill Paths

• Organizations Can Attract Better Returns

The decision to pursue an IoT certification can be challenging for individuals. At the same time, it is also important to note that organizations also experience troubles in choosing IoT certifications for their workforce. Organizations can use IoT certifications as crucial tools to help you learn IoT alongside boosting your career development journey. 

The advantages of IoT certifications for organizations generally fall under the rug as everyone is interested in finding out how IoT certifications can help them. Organizations can use the Internet of Things certification programs to offer a viable opportunity to stay updated with latest technologies and trends. On top of it, the organization which empowers its employees with an IoT certification also showcases its commitment to innovation. 

• Compliance with Professional Requirements

The most crucial advantage of IoT certifications points to the learning outcomes of the certification course. You can find answers to “Is IoT certification worth it?” by reflecting on how an IoT certification prepares you for the job. Professionals who have completed the certification objectives of an IoT certification are more likely to have the skills required for responding to challenges and issues. 

As a result, you not only prove your skills for specific IoT job roles but also showcase that you can implement the skills in the right way at the right places. Organizations want to invest in certified IoT professionals who are technically fluent in ensuring faster responses to new challenges. 

• Recognition for Expertise in Emerging Technology

The prominent detail about Internet of Things suggests that it is an emerging technology. It would require more time to evolve into a futuristic technology. IoT could serve as the foundation of connections between humans and machines. Most important of all, the benefits of IoT certification show how it helps you learn about new technology. 

The IoT certification can serve as proof of your efforts in learning a new technology that remains comparatively unexplored. Candidates could earn the tag of subject matter expert in an organization for any new technology, thereby improving credibility. Your early efforts in IoT training and certification guarantee long-term benefits for your career as an IoT professional.

Curious to know how the IoT business mechanisms work? Enroll now in the Internet Of Things Business Impact Course

• Easier Promotion of Your Resume 

Most of the candidates seeking jobs in IoT have to face one common problem, i.e., marketing their resumes. You can make a list of all the available job roles in the IoT labor market right now and send applications for all the desired posts. However, it is less likely that you will receive a positive response from all the companies. 

On the contrary, it is important to use your IoT certification course credentials to gain the attention of recruiters. IoT certifications give you an opportunity to seek promotions on the basis of your efforts in skill development and ambition. Certifications can not only guarantee better chances of promotion but also ensure a raise for employees. 

• Build Your Identity as an IoT Expert

The most striking highlight among the advantages of IoT certification points to the opportunity to become an IoT expert. You can pursue a career in IoT as a certified subject matter expert with professional credibility through an IoT certification. Organizations use certifications as an important part of their learning culture to offer professional development opportunities to employees. With an early start, you could become the first IoT expert in your organization.           

• Develop Adaptability 

The final addition to the benefits of IoT certification would point to the need for agility. You can earn an IoT certification and learn about the benefits of recognition in labor markets. However, the training for IoT certification programs can help an aspiring professional earn the self-motivation required to achieve excellence. 

Want to understand the fundamentals of the Internet of Things (IoT)? Enroll now in IoT Fundamentals Course

Conclusion 

The review of important advantages associated with IoT certifications shows that you can learn IoT and become a subject expert. You should look for certification courses that offer value advantages of training with detailed training courses. In addition, you must look for learning experiences in IoT technology that can help you expand your IoT expertise. 

Most important of all, certified IoT professionals can find viable opportunities for professional networking and developing agility. The IoT labor market is evolving at a rapid pace, with new job roles making an impact. You should take the initiative to learn more about IoT fundamentals and choose a reliable IoT certification for career development. Find more details about professional IoT certification programs right now.     

The post How the IoT Certification Will Boost Your Career? appeared first on 101 Blockchains.

The new IoT Professional certification gives you an opportunity to learn how to extract value from IoT technology. Most important of all, our new IoT certification training course offers the opportunity to learn from a seasoned industry expert. Dr. Markus Weinberger (Professor “Internet of Things” at Aalen University of Applied Sciencess) has more than two decades of experience in IoT, with many research achievements and involvement in groundbreaking IoT projects. Let us introduce you to important information about the training course and its benefits. 

Aspiring to Become a Certified IoT Professional? Enroll in Certified IoT Professional (CIOTP) Certification Course Now!

New Certified IoT Professional Certification Launched

The global IoT market can grow by almost 19% in 2023. As of 2022, the world has more than 14 billion IoT-connected devices. Prominent industries leading in terms of IoT adoption include manufacturing, construction, transportation, healthcare, and energy. IoT technology has offered crucial value improvements with use cases in asset tracking, quality control, predictive maintenance, and supply chain management. Therefore, businesses need to find effective ways to reinvent their business models and operations for implementing IoT.

The consistently growing adoption of IoT also intersects with the evolution of new technology trends such as blockchain and AI. The number of candidates aspiring to become Certified IoT Expert has been increasing in competition for filling the massive skill gap in the IoT market. We have come up with a credible certification training course on IoT technology with practical learning materials. The certification training course not only helps you understand IoT technology but also how to come up with unique business ideas and solutions.

Want to understand the fundamentals of the Internet of Things (IoT)? Enroll Now in IoT Fundamentals Course!

Target Audience for the Certified IoT Professional Certification Course

The value advantages of IoT and its synergy with AI and IoT have prompted various organizations to experiment with IoT. Our new Internet of Things certification training course gives you an exclusive training resource for learning about IoT technology and its value for businesses. Any individual interested in learning about the practical implementation of IoT should try out our new IoT certification course. At the same time, our new IoT certification course also serves targeted advantages for different groups of learners.

• C-level executives and managers in organizations working on IoT projects can use the course to understand the business impact of IoT.
• Entrepreneurs can rely on the CIOTP certification training course to learn how to conceptualize new IoT-based business ideas.
• Project or product managers working on IoT projects or solutions could use our new IoT certification training course to familiarize themselves with the workflow of IoT implementation projects.
• Developers interested in learning about IoT applications can use our IoT certification course to specialize in the IoT development tech stack.

Want to familiarize yourself with the technology stack associated with IoT? Enroll Now in Internet Of Things (IoT) – Intermediate Level Course!

Basic Information about the Certified IoT Professional Certification Course

The distinctive highlight of our new IoT certification course launched for aspiring IoT experts is a clear set of learning objectives. Before you choose the new IoT certification course, you should know how it can serve your career goals. The new IoT certification course helps you achieve the following learning outcomes.

• In-depth understanding of IoT technology and its impact on businesses and users.
• Skills for developing ideas and new IoT application designs.
• Knowledge regarding the significance of AI and blockchain technology in IoT.

The IoT certification course aims to offer extended insights into IoT beyond conventional IoT implementations. You can become Certified IoT Expert with mastery over coming up with value-based ideas on using IoT for businesses. On top of it, you can specialize in the applications of new technologies such as blockchain technology and AI with IoT. Most important of all, each module in the certification training course features demos and interactive exercises for improving your practical IoT skills. Here is an outline of the important modules in the new IoT certification course.   

• Technology stack for developing IoT solutions, apps, networks, and systems.
• Best practices for IoT implementation in business use cases.
• Value benefits of successful IoT applications for users, along with examples.

Curious to know how the IoT business mechanisms work? Enroll Now in the Internet Of Things Business Impact Course!

Reasons to Choose Certified IoT Professional Certification Course

The basic information about our Certified IoT Professional Certification Course reveals how it can help you master IoT technology. In addition, you can find some promising benefits with our certification course in your journey of learning IoT.

• Learning from Expert Insights

The Certified IoT Professional Certification launched for aspiring IoT professionals has been created by Dr. Markus Weinberger. He has an extensive professional portfolio, with research experience in IoT for more than 20 years. You can have the benefit of learning from the industry knowledge of Dr. Markus in the new certification training course.

• Round the Clock Support

Another effective reason for choosing our Certified IoT Professional Certification is the assurance of expert support. Irrespective of your learning style, you can always ask your doubts and find easier explanations for concepts you find difficult to understand. You can also ask for technical support in cases where you encounter trouble with access to the course materials.

• Hands-on Training

The new IoT certification launched for you on our platform also helps you develop the skills to apply your learning outcomes in real IoT projects. With the help of demos and interactive exercises, you can build fluency in using tech stack for IoT development. 

Start learning IoT with World’s first IoT (Internet Of Things) Skill Path with quality resources tailored by industry experts Now!

Prepare for a Career as IoT Professional  

The Certified IoT Professional Certification course is a simple guide to the world of professional applications of IoT. You can use the Internet of Things certification training course to learn about different IoT technologies used in creating solutions. In addition, you can learn about the best practices for coming up with concepts, ideas, and new designs for IoT implementation in businesses. Furthermore, the certification training course also validates your knowledge of the potential applications of AI and blockchain in IoT.

Explore the other important details about our new IoT certification course right now!

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According to IoT Analytics, the spending on global IoT market will grow by 18% in 2023. The answers to “Is IoT good for your career?” also invite attention to the market capitalization of global IoT market. According to the International Data Corporation, the global IoT market could be worth $1.1 trillion in 2023. Will you miss the opportunity to build your career in the consistently expanding IoT market?

The skill gap in the domain of IoT is one of the foremost advantages for aspiring IoT professionals. You can learn about important IoT developer skills which can guarantee your claim for lucrative jobs in IoT. The following post helps you identify some important technical skills for IoT professionals you would need to boost your career. 

Want to familiarize yourself with the technology stack associated with IoT? Enroll Now in Internet Of Things (IoT) – Intermediate Level Course!

Most Popular Skills for IoT Professionals

The predictions for the IoT market indicate positive trends for career development. Statista has predicted that the total number of connected devices will become 75 billion by 2025. Therefore, the attention to skills needed for IoT professionals has increased by huge margins, with many sectors adopting IoT solutions. 

New IoT projects and transformation of legacy systems require developers, architects, engineers and other IoT professionals to support the projects. Therefore, IoT professionals need a diverse set of skills that can help them maintain IoT infrastructure according to the desired scale. Here are the essential skills required for building your career in IoT.

• AI and Machine Learning 

Artificial Intelligence, or AI, is gradually becoming an integral component of IoT networks. As a matter of fact, the convergence of AI and IoT has resulted in the development of artificial intelligence of things or AIoT. According to Gartner, AI will be a crucial part of around 80% of large-scale IoT projects by 2022. 

AI and ML are mandatory IoT architect skills for creation of powerful and modern IoT infrastructures. IoT devices collect massive volumes of sensor data, which is used for analysis. AI and machine learning can offer a boost to the process of organizing IoT sensor data and deriving relevant insights from the data for business decisions. 

For example, the IoT developer skills required for a manufacturing plant monitoring system would include AI and machine learning. The two technologies can help in effective monitoring of temperature at different sites of the manufacturing plant alongside offering insights for optimization of the facility. AI could also improve usability of data by removing redundant data from Big Data repositories. In addition, AI can also help in performing complex data analysis processes by leveraging data science.

• Circuit Design 

The list of technical skills required for IoT professionals also turns the limelight toward circuit design, which has been experiencing significantly higher demand. In most cases, IoT devices need frequent modification of chip design alongside changes in circuit development to meet new system requirements. 

The skills for IoT developers in circuit design can help in ensuring development of optimal IoT networks. For example, IoT developers and architects could use their specialization in circuit design to create applications that use long-life batteries. 

The design of such IoT applications would involve selection of specific circuit boards which can boost power intake. On the other hand, developers could go for one circuit board featuring different sensors and chips. The growing demand for printed circuit boards and 3D designs implies that circuit design could be a prominent IoT skill for boosting your career.

• Cloud Computing

Another important addition to skills required for IoT professionals is distributed cloud computing. The important skill for IoT can help in improving efficiency of IoT networks by ensuring an effective alternative to sole edge computing. Distributed cloud computing offers the blend of edge computing and a centralized cloud database for processing some data through a central approach and some through edge computing. 

The applications of distributed cloud computing can help in processing time-critical data at the edge. On the other hand, data that requires intensive processing can be transferred to a centralized location far away from the source. Skills in distributed cloud computing could help IoT professionals in creating a powerful functional engine for their IoT solutions.

• Node.js Development 

The outline of basic skills required for IoT professionals also includes Node.js development. It is one of the essential IoT developer skills for beginners seeking entry into the IoT landscape. Node.js is the most preferred open-source development environment for IoT developers. It is generally used in combination with other connected devices, such as Raspberry Pi and Arduino. 

Raspberry Pi is a miniature, single-board computer that serves as an efficient software development tool at a low cost. It is compatible with programming languages such as Node.js and Python. On the other hand, Arduino is the single-board microcontroller used commonly for flexible embedded programming through sensor interfaces and interfaces for other inputs. Your search for IoT architect skills can help you understand how Arduino and Raspberry Pi offer effective teaching tools for learning about the use of Node.js in IoT.

Node.js can facilitate communication between Raspberry Pi and Arduino. It also supports compatibility with distributed IoT environments and requirements for faster processing of real-time data. In addition, the asynchronous nature of Node.js and its event-driven I/O model ensures flexibility for managing multiple tasks simultaneously.

• API Automation and Testing

The most popular skills needed for IoT professionals include API automation and testing, as they empower different functionalities in IoT. APIs could help IoT devices in efficient and accurate exchange of real-time data. As a matter of fact, APIs are the primary instrument that facilitates communication between IoT devices. IoT professionals should develop their fluency in API testing to cater to the complex and distributed nature of IoT with automated tests. 

Testing is an important mention among IoT developer skills required for creating applications where sensors offer a proper representation of data collected about a physical condition. Another instance of proving the necessity of API testing reflects on use cases for updating data structure of IoT monitoring systems. Effective skills in API automation and testing can help you identify whether changes in organization of data in the system could change the flow of data processing. 

• Microcontroller Programming 

The collection of mandatory IoT skills required for aspiring developers and architects would also point to microcontroller programming. You can use microcontroller programming skills for IoT developer roles in improving intelligence of IoT networks. Microcontrollers are tiny computers that help in optimizing the functionality of IoT systems in different gadgets. 

The applications of microcontrollers in robots, motor vehicles, home appliances, medical devices and vending machines emphasize the need for microcontroller programming in IoT. It can help in strengthening fluency in sensor development alongside management of automation projects. 

• Information Security 

Information security is a prominent concern in the IoT market, thereby invoking demand for information security professionals. The security for IoT infrastructure is difficult owing to the different devices and implementations included in IoT. 

Security engineers in the domain of IoT should practice creativity and adaptability in their approach to reviewing vulnerabilities. Information security qualifies as the most important skill for IoT as it helps in identification of physical and logical flaws across IoT endpoints. In addition, the demand for IoT professionals with fluency in security tools by specific vendors is increasing. Some examples of IoT information security vendors include Orbit and Cloudflare. 

As a professional IoT architect or developer, you must familiarize yourself with the weaknesses in IoT security infrastructure. One of the most prominent setbacks for IoT security points to password security. In most cases, administrators undermine the necessity of changing the default passwords, partly due to limitations on usability. Lack of frequent changes in IoT passwords can help intruders break into IoT systems by breaking down the generic passwords. 

• Big Data 

The job responsibilities of an IoT developer or architect would also involve designing effective systems for managing Big Data. You can find answers to “Is IoT good for your career?” in the examples of skill requirements, such as Big Data. IoT devices are capable of generating humongous volumes of data in real time, which create challenges for data management. 

Big Data skills can help in managing the huge stores of IoT data alongside analyzing and monitoring them. The combination of Big Data with AI and machine learning can provide momentous growth for better speed and efficiency of IoT network performance. Therefore, IoT professionals with Big Data skills are more likely to attract the attention of employers for lucrative job roles.

• GPS Development 

GPS, or Global Positioning System, has been through a massive makeover in recent times with the introduction of smart vehicles. At the same time, other sectors, such as supply chain management and healthcare, have been utilizing GPS for logistics and wearables. 

The IoT developer skills required for creating location-aware IoT devices emphasize the necessity of learning GPS development. IoT applications can use GPS for different use cases, including navigation, employee monitoring and security. The continuously growing adoption of GPS-enabled devices has played a crucial role in driving the demand for IoT engineers with GPS development fluency.

• UI/UX Design 

The entries among important IoT architect skills would also highlight the importance of UI/UX design. User interface and user experience are the mandatory aspects for encouraging adoption of IoT solutions. Interestingly, UI/UX design skills can complement IoT network security. How? A user-friendly IoT device interface can help information security professionals with flexible updates in security settings. 

Seamless user experience is also an essential requirement for helping users understand how the IoT solution delivers value. Effective user experience and a responsive user interface ensure a secure and uninterrupted data flow from sensors to IoT applications and then to the users. On top of it, IoT UX designers have to work in collaboration with embedded system programmers. Therefore, you would need a broad and diverse set of IoT skills to complement your fluency in UI/UX design.

Conclusion 

The review of every important skill in IoT shows how aspiring professionals have to invest efforts in building a comprehensive range of skills. You cannot rely on one specific skill, such as AI and machine learning or Node.js development, for your IoT career. 

The technical skills needed for IoT jobs also include fluency in concepts of distributed cloud computing, UI/UX design, microcontroller programming and GPS development. Begin your journey in IoT with a comprehensive training course on IoT fundamentals and the implementation of IoT in business use cases. Learn more about IoT with the trusted learning resources on 101 Blockchains right now.

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The global IoT market could achieve a total capitalization of around $1.1 trillion in 2023, with substantial growth in spending. Which sectors are using the continuously growing volume of funds in global IoT spending estimates? Some of the prominent use cases of IoT include remote asset monitoring and control, process automation, location tracking, asset performance optimization and vehicle fleet management.    

Market research reports have pointed out that the revenue for global IoT market could be almost $293.2 billion in 2023. The number of IoT-connected devices could surpass the 16 billion mark in 2023. Therefore, it is important to know about the applications of IoT which will take the limelight in 2023. The overview of popular IoT use cases can help in understanding the different factors which encourage IoT adoption. Let us learn more about different notable applications of Internet of Things in various sectors and their value advantages in the following post.

Most Popular Applications of Internet of Things 

Internet of Things or IoT provides an effective technological solution for enabling integration between the real world and computer systems. The basic trait of an IoT application extends beyond connectivity as it also helps in ensuring access to data, which facilitates communication between the connected devices and with users. For example, you can use IoT data to understand how a specific device in the network has been performing or obtain details about its battery consumption. 

With the help of IoT, every device connected to the internet could collect, monitor and exchange data on its own. Imagine the improvements in traditional operations through devices that could detect anomalies in production processes and report accurate data to decision-makers. Here are some of the most significant real-world applications of Internet of Things you should watch out for in 2023. 

Please include attribution to 101blockchains.com with this graphic. <a href='https://101blockchains.com/blockchain-infographics/'> <img src='https://101blockchains.com/wp-content/uploads/2023/03/Most-Popular-IoT-Applications.png' alt='Most popular iot applications='0' /> </a>

• Smart City 

Smart City is an interesting example of real-world IoT applications which can create the cities of the future. It is a revolutionary concept for application of IoT in improvement of urban infrastructure. The use of IoT-based systems can improve efficient access to utilities, quality and cost of living alongside use of available resources. Smart cities also present viable prospects for achieving plausible improvements in economic growth alongside driving environmental sustainability. 

The basic premise of ‘smart city’ concept revolves around enhancements in urban planning and public administration by leveraging service automation. Smart cities could help in improving different aspects such as governance services, energy distribution and innovative urban agriculture. The benefits of smart cities can also introduce viable improvements in waste management, transport and traffic management alongside access to utilities such as water and healthcare.

Expand your knowledge of IoT with comprehensive IoT Flashcards explaining terms and technologies,

• Smart Homes

If the cities can become “smart” with IoT, why shouldn’t you think the same for homes in the smart cities? The popular applications in IoT also focus on creation of smart homes, which aim at improving the quality of living. Smart homes involve the use of IoT for controlling different home appliances, alarms, water flow and lights. On top of it, the ‘smart home’ concept also focuses on improving safety for your homes through comprehensive IoT-based smart security systems.

The foremost advantage of smart homes is the flexibility of managing all processes in a home through smartphones, laptops and tablets. Did you forget to switch off the lifts before leaving for work? The applications of IoT could help you switch off the lights at your home from an app on your smartphone. Most important of all, the facility of timely alerts regarding functioning of different appliances in your home can help in avoiding costly repairs. At the same time, the benefit of smart security systems can safeguard your home against different threats. 

• Smart Autonomous Vehicles

The concept of self-driving cars seemed like a theme from science-fiction novels or movies before the arrival of IoT. Smart autonomous vehicles are a top answer to “What are the future application of IoT technology?” as they could revolutionize the experience of vehicle users. As of now, connected devices in cars could help in controlling specific functionalities. For example, GPS technology in vehicles can help in navigating to desired locations and smart devices could help in determining the optimal route to the destination. 

The uses of IoT in smart vehicles also include the installation of sensors in the car for monitoring radiator water temperature or engine oil levels. Vehicle owners can also monitor the overall state of the car, including fuel levels, location and other details, through an app on their smartphones or laptops. 

Want to learn how you can use blockchain in the Internet of Things (IoT)? Enroll now in the Getting Started with Blockchain And IoT Course

• Fitness Wearables 

The next prominent entry among the popular applications of Internet of Things in 2023 would point to fitness wearables. IoT-based fitness trackers could help in optimizing fitness goals alongside tracking your progress in achieving the goals. The list of top IoT applications in fitness tracking involves a broad range of wearables that can help in monitoring daily activities. You can measure anything from sleeping patterns to glucose levels in your body with the help of fitness wearables. 

The most common and popular application of Internet of Things in fitness tracking involves the measurement of workout statistics and amount of calories you burn. The applications of IoT for fitness tracking also emphasize the flexibility of using wearables and monitoring your health. For example, you don’t have to attach multiple wires to your body to measure your heart rate regularly. Internet of Things can help you measure your heart rate throughout the day with a smartwatch. 

• IoT-Powered Tourism and Hospitality 

The diversity of uses of IoT in different industries offers promising scope for the possibilities of using IoT in hospitality. Internet of Things presents sizeable potential for optimizing operations in the hospitality and tourism industry. The most prominent IoT application in hospitality focuses on optimizing staff allocation. Staff management accounts for a massive cost burden on the operations of hotels, motels and resorts in tourism and hospitality. IoT can facilitate automation of specific tasks, which can reduce the burden on hotel staff. 

Mobile electronic keys are one example of the utilization of IoT in hospitality and tourism sector. The keys can help hotel guests in accessing their rooms in the hotel without interacting with any staff member. In addition, IoT applications could also help guests in requesting room service or share feedback directly from their smartphones. As a result, hotel management could obtain useful information about guest behavior and requirements with the help of IoT.

Curious to know how the IoT business mechanisms work? Enroll Now in the Internet Of Things Business Impact Course

• Smart Grids

Internet of Things helps introduce the ‘smart’ into conventional systems. Smart grids leverage the capabilities of IoT for innovative transformation of the energy distribution infrastructure. Energy utility companies are leveraging applications in IoT to create smart grids that could provide better energy efficiency. 

Smart grids can provide comprehensive functionalities for monitoring energy consumption alongside generating predictions for power outages and energy shortages. Furthermore, smart grids also help in collecting data regarding the utilization of energy by different companies and individuals. At the individual level, each home can use insights from smart grid to evaluate energy usage and identify better ways to save energy. 

• Remote Patient Monitoring 

The most useful real-world application of Internet of Things is IoT-enabled Remote Patient Monitoring or RPM systems. Questions such as “What are the future application of IoT technology?” draw attention to the ways in which IoT introduces value benefits that would stand the test of time. 

The effectiveness of IoT technology in improving remote patient monitoring systems has introduced large-scale improvements in the domain of healthcare. As a matter of fact, a global pandemic taught the importance of improved modernization and flexible accessibility in healthcare services. How can patients avail of healthcare benefits without visiting their doctors?

Internet of Things provides a viable answer with the use of sensors for monitoring the health status of patients. IoT sensors can help doctors in monitoring and track the progress of patients in accordance with recommended treatment plans. Doctors can use a simple IoT application on their smartphones to check the vital stats of patients. In addition, remote patient monitoring can also help in finding out whether patients are taking their medications on time. The applications of remote patient monitoring can also ensure that patients receive timely medical assistance in the event of emergencies.

Learn the latest insights about the IoT (Internet of Things) and understand how it’s related to the blockchain with industry experts with IoT Skill Path

• Retail IoT Applications

The retail sector also leverages IoT to achieve better efficiencies alongside driving new approaches for innovation. Retail IoT could help in ensuring improvements in customer experience alongside accuracy in product tracking. The top IoT applications in retail sector can also support improvements in staff strategy alongside inventory management. On top of it, retailers could also leverage IoT to monitor customer shopping patterns. 

IoT data can help retailers in collecting information about purchase history, location information and trends in purchasing behavior. As a result, retailers can obtain real-time insights into customers, thereby creating better strategies for achieving their business objectives.        

• Smart Manufacturing 

Industrial IoT has emerged as one of the formidable branches of applications of Internet of Things. The most noticeable impact of Industrial Internet of Things has been identified in the manufacturing sector. One of the most significant applications in IoT for manufacturing points at examples of smart factories, which use IoT technology. 

Smart factories can utilize Internet of Things technology for collecting data on different industrial devices and processes. Based on the insights from industrial processes and devices, manufacturers could come up with strategic plans alongside improving efficiencies. 

The applications of Internet of Things in manufacturing involve integration of IoT sensors with manufacturing equipment and other factory assets. The biggest benefit of smart manufacturing is predictive maintenance which helps in avoiding costly repairs. On top of it, IoT applications in smart manufacturing can also support effective use of analytics for optimizing energy consumption. At the same time, IoT can also offer the functionalities of asset tracking that could play a crucial role in enhancing productivity of supply chain processes. 

• IoT Farming 

The final addition to the list of Internet of Things applications would refer to the promising use cases of IoT in farming. Smart IoT farming apps could help in optimization of different farm operations, which consume time and effort. The intelligent Internet of Things applications has created revolutionary advancements in the domain of farming. For example, an IoT application could help farmers determine the best time for harvesting crops. IoT sensors can help farmers in predicting changes in the weather alongside detecting variations in soil moisture and concentration of nutrients. 

Smart farming through IoT also involves the use of sensors for monitoring security of farms. In addition, smart tags for livestock can help farmers with advantages of real-time monitoring of health information of the animals. Other potential examples of IoT use cases in farming point to autonomous farming equipment. 

Want to familiarize yourself with the technology stack associated with IoT? Enroll now in Internet Of Things (IoT) – Intermediate Level Course!

Examples of IoT Applications in the Real World 

The overview of different applications of Internet of Things in the real world proves how IoT can improve various industries. Interestingly, the examples of applications of Internet of Things could offer a better understanding of the value of IoT. Some of the popular examples of Internet of Things applications include, 

DHL, the global logistics service provider, has utilized IoT sensors for monitoring location, temperature and humidity of shipments. 

John Deere, the renowned agricultural equipment manufacturer, has used IoT for integrating satellite-connected guidance and tracking sensors in tractors and other farming equipment. The IoT application initiatives by John Deere have set new benchmarks for precision farming, which can improve efficient use of farming resources. 

GE Appliances has leveraged Internet of Things to revolutionize its manufacturing operations through optimization of supply chain. The company has used IoT to improve inventory management alongside increasing efficiency in the production workflows. 

Samsung is a prominent brand for smart home appliances and televisions, which showcase the potential of IoT technology. The connected appliances of Samsung can be accessed easily through mobile devices, which facilitates better flexibility for managing the appliances.

Walmart also shows one of the top IoT applications in the retail sector with the use of RFID technology. The retail giant uses RFID technology for real-time inventory tracking, thereby improving access to accurate insights on product movement through the supply chain. 

Want to become IoT expert, Checkout Step By Step Guide To Become An IoT Expert

Conclusion 

The top applications of Internet of Things and the most popular examples of IoT use in different industries prove that IoT has disruptive potential. One of the biggest advantages of IoT is the facility to make devices communicate with each other. The emerging applications in IoT landscape would shape a new ecosystem of IoT protocols, devices and networks. 

Therefore, it is reasonable to expect the possibilities of new business models and career opportunities in the field of IoT. Awareness regarding the popular applications of Internet of Things offers more than just an introduction to IoT. You can learn about the diversity in the use cases of IoT and the scale of innovation in implementing IoT across different industries. Learn more about IoT fundamentals and how it can work with other technologies in the future.       

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