With the advent of the Internet of Things, Big Data is becoming more and more important. After all, when you have devices that are constantly collecting data, you need somewhere to store it all. But the Internet of Things is not just changing the way we store data; it’s changing the way we collect and use it as well. In this blog post, we will explore how the Internet of Things is transforming Big Data. From new data sources to new ways of analyzing data, the Internet of Things is changing the Big Data landscape in a big way.
How is the Internet of Things transforming Big Data?
The Internet of Things is transforming Big Data in a number of ways. One way is by making it possible to collect more data than ever before. This is because devices that are connected to the Internet can generate a huge amount of data. This data can be used to help businesses and organizations make better decisions.
Another way the Internet of Things is transforming Big Data is by making it easier to process and analyze this data. This is because there are now many tools and technologies that can help with this. One example is machine learning, which can be used to find patterns in data.
The Internet of Things is also changing the way we think about Big Data. This is because it’s not just about collecting large amounts of data – it’s also about understanding how this data can be used to improve our lives and businesses.
The Benefits of the Internet of Things for Big Data
- The internet of things offers a number of benefits for big data.
- It allows for a greater volume of data to be collected and stored.
- Also, it provides a more diverse range of data types, which can be used to create more accurate and comprehensive models.
- It enables real-time data collection and analysis, which can help organizations make better decisions and take action more quickly.
- It can improve the accuracy of predictions by using historical data to train predictive models.
- Finally, the internet of things can help reduce the cost of storing and processing big data.
The Challenges of the Internet of Things for Big Data
The internet of things is transforming big data in a number of ways. One challenge is the sheer volume of data that is generated by devices and sensors. Another challenge is the variety of data formats, which can make it difficult to derive insights. Additionally, the real-time nature of data from the internet of things presents challenges for traditional big data infrastructure.
The Internet of Things is bringing a new level of connectivity to the world, and with it, a huge influx of data. This data is transforming how businesses operate, giving them new insights into their customers and operations.
The Internet of Things is also changing how we interact with the world around us, making our lives more convenient and efficient. With so much potential, it's no wonder that the Internet of Things is one of the most talked-about topics in the tech world today.
IoT is disrupting almost every industry sector including communications. As power consumption has become a challenge for IoT devices, cellular IoT has introduced some standards that are cutting-edge. Let’s take a look at those standards and their device categories.
Remember the days when the “E” icon on the notification bar of our phones used to make us excited?
Well, if we compare that to today, technology has skyrocketed like anything. It was just a matter of time before that E icon turned to 4G LTE.
Today, there are billions of devices that run on the 4G network providing lightning-fast internet to the users. And it does not end here. The wave of 5G is ready to take on the world. Though some countries have already deployed 5G, it is yet to conquer the entire world.
Now, IoT is not a buzzword anymore. It is an awesome technology that connects various internet-enabled devices and is known to everybody. The use of IoT allows devices to share data at a faster pace. But, there is one challenge!
As these devices are connected to cellular networks like 3G and 4G LTE, they consume a lot of power. In a way, it is acceptable, but not if the devices are sending a small amount of data occasionally. So what’s the solution here? Cellular IoT!
Cellular IoT deals with some of the best IoT standards and devices that make the existing cellular technology fit for low-powered devices. If you are interested to know how; read ahead and find out!
Why are IoT LTE devices necessary?
Well, the need for IoT devices comes into the picture when we analyze applications like predictive maintenance, asset tracking, fleet management, inventory management, remote service, etc.
All these applications are backed by powerful yet sensitive devices that transmit data to ensure that all your business processes are running fine. LTE is the technology that helps them. IoT devices under LTE can be classified based on the LTE standards!
This standard covers devices that run under the bandwidth of 1.4 MHz. Most of the devices under the standard are smart meters, fleet management devices, and asset tracking devices.
The operating bandwidth of Cat-1 devices is 20 MHz which allows for devices like ATMs, POS terminals, and wearables to operate.
The devices under Cat-4 have the maximum download and upload speed, which makes them ideal for applications like autonomous vehicles, real-time video, and in-car infotainment.
The IoT LTE devices under NB-IoT have the maximum latency, which makes them crucial for applications like parking sensors, street lighting, industrial monitors, and more.
What are the various IoT LTE devices categories?
Well, if we talk about the device categories, IoT LTE devices can be classified into four categories based on cellular IoT standards. The newest of these four standards are LTE-M and NB-IoT.
Let’s read ahead and find out about the IoT LTE device categories!
1. LTE-M/ Cat-M1
Let’s begin with the LTE-M standard. The LTE-M standard is an excellent discovery that is ideal for devices that require less power and less bandwidth. Here are some key pointers related to the device categories of LTE-M!
- The devices based on the LTE-M standard have an upload speed of 1 Mbps, and the same is the download speed.
- On top of that, the latency in the case of LTE-M devices is 10-15 milliseconds. The latency is enough to ensure that the required data is transmitted at regular intervals.
- The bandwidth of the LTE-M is enough to ensure that the devices are able to function well in the prevailing 2G and 3G applications.
- The best thing about the LTE-M standard is handoff for devices. It allows seamless handoff that makes the standard ideal for applications like asset tracking and fleet management where devices are on the move.
- Cat-M1 was created as an integral part of Release 13 of the 3GPP’s LTE standards.
Apart from the above-described device categories, Cat-1 is a category that is a part of Release 8 of the 3GPP standard. Though it is a part of the old technology, it is still widely used across the globe. Here are some features of the Cat-1!
- The Cat-1 standard is made for IoT device categories that have low and medium bandwidth needs.
- The speed of the Cat-1 device is more than that of LTE-M. The upload speed of the Cat-1 devices is 5 Mbps, and the download speed is 10 Mbps.
- One of the best things about Cat-1 is that it has less latency. The latency of the signals is just 50-100 milliseconds.
- The Cat-1 standard uses a massive bandwidth of 20 Mhz in a full duplex. The full duplex capability of the devices allows for smooth handoff, making it ideal for wearables, ATMs, POS terminals, etc.
Well, the Cat-4 standard is what it takes to support applications like autonomous cars. The speed of devices in this standard is way more than Cat-1. It can provide you with 50 Mbps upload speed, and 150 Mbps download speed.
The best advantage of the Cat-4 standard is that it supports in-car infotainment, in-car hotspots, and video surveillance.
4. NB-IoT/ Cat-NB1
After the LTE-M, there is NB-IoT or Cat-NB1 standard. Just like LTE-M, there are many aspects that make it a bit different and unique. Here are some key pointers about the devices supporting the NB1 standard.
- The low-cost technology makes use of DSSS modulation technology vs. LTE spread technology to ensure connectivity.
- The cost factor of the technology is not the only USP. The devices that come under Cat-NB1 have less power consumption, offer excellent in-building coverage, and have longer battery life.
- If we talk about the upload and download speed of the NB-IoT device category, it is relatively less compared to LTE-M. The upload speed is 66 kbps, and the download speed is 26 kbps. This is in half duplex mode.
- The latency of NB-IoT is also more than the LTE-M. It oscillates between 1.6 to 10 seconds. Though it seems way more, there are advantages to it. The latency is ideal for small, intermittent data transmissions.
- NB-IoT is also part of Release 13 of the 3GPP’s LTE standard. It is an LPWAN technology that works on a licensed spectrum.
- The devices that come under this standard are smart gas, street lights, parking sensors, etc.
Other than these device and standard categories, there are two more standards:
As there is a need for low-cost devices and processes, Cat-0 lays the groundwork for that. It eliminates the need for features that require a high data rate in Cat-1. On top of all, Cat-0 is slowly doing the groundwork for Cat-M by replacing 2G.
It is a standard that does not have as much buzz as the LTE-M and NB-IoT. But, it has been tested by brands like Ericsson and Intel for supreme practicality and modularity.
Why Do We Need To Care?
Well, if you are a cellular carrier service provider, you have to care about it. There are many factors that need to be considered while choosing the IoT LTE device category. Here is a brief elaboration of some of the critical ones!
1. Power consumption:
Out of all the IoT LTE devices listed above, those who come under the Cat-4 consume the maximum power. After that come the devices under Cat-1. Cat-M1 and NB-IoT devices are the ones that have the minimum power consumption.
2. Battery life:
Battery life is the key factor if the devices are placed in remote locations like the agricultural field. If you are choosing LTE IoT devices, go for devices under standards Cat-M1 and NB-IoT.
If cost is your concern, then again, Cat-M1 and NB-IoT are the ideal picks for you. They are best for high-volume device applications. Devices under Cat-1 and Cat-4 are more pricey.
When it comes to adoption, the adoption of LTE-M and NB-IoT are quickly being adopted by carrier service providers across the globe.
Latency is the highest in NB-IoT, which makes it ideal for applications that do not need to send continuous data. LTE-M is a bit faster than NB-IoT. Cat-4 is the fastest, which makes it ideal for video applications.
So, now we are clear about what type of IoT devices are under each standard of LTE. LTE-M and NB-IoT are the standards that are being quickly adopted as they are low cost, consume less power, and have max battery life. To make an informed choice, it is necessary for you to analyze each aspect closely. As of now, carrier companies are inclined toward adopting NB-IoT and LTE-M as they can serve vast applications while being balanced in all aspects.
The Internet of Things is changing the way we consume and interact with things in our everyday lives. IoT gives objects digital identity. This means that they can be monitored, controlled, and synced with other devices wirelessly. The article looks at how the IoT will affect the electric vehicle industry in the future.
Table of contents
- How will the IoT affect the Electric Vehicle Industry?
- What are the Advantages and Disadvantages of the IoT in the EV industry?
- What Industries Have Benefited from the IoT?
- Final Thought
How will the IoT affect the Electric Vehicle Industry?
The IoT has the potential to change the way we interact with the world around us, and it is already having an impact on the electric vehicle (EV) industry.
One way that the IoT is affecting EVs is by making it possible for cars to communicate with each other and with infrastructures, such as traffic lights and parking spaces. This communication can make driving more efficient and safer. For example, if two connected cars are approaching an intersection at the same time, they can communicate with each other to decide who has the right of way. This eliminates the need for one car to stop and wait for the other to pass.
Another way that the IoT is impacting EVs is by providing data that can be used to improve the efficiency of charging stations. Connected chargers can communicate with each other and with EV batteries to optimize charging times and reduce congestion at charging stations. This data can also be used to help plan future charging infrastructure.
The IoT also has the potential to change how we think about ownership of EVs. In a traditional ownership model, a person buys a car and then pays for its maintenance, fuel, and insurance. With an IoT-enabled EV, it would be possible for someone else to own the vehicle and provide these services as part of a subscription service. This could make EVs more affordable.
What are the Advantages and Disadvantages of the IoT in the EV industry?
As the electric vehicle industry continues to grow, so too does the role of the IoT. The advantages of the IoT in the EV industry include increased efficiency and accuracy in data collection, improved safety and security, and enhanced customer experience. Meanwhile, some of the disadvantages of the IoT in the EV industry include potential privacy concerns and data breaches, as well as the need for a reliable and secure network infrastructure.
The Advantages of the IoT in the EV industry
- It makes it easier for you to control your car's climate and other functions remotely while you're not in it.
- You can use an app on your phone or laptop to control things like lights, power windows, etc., even if they're not connected directly to your vehicle's system (like a garage door opener). You could also use this tech for home automation systems like Nest or Harmony which allow you to control all kinds of things from anywhere in your house.
- You can share information about where you parked your car with friends who might need help finding it later on or help them find it.
The Disadvantages of the IoT in the EV industry
The IoT is a great way to increase your EV industry's efficiency and success, but it can also be difficult to implement. Here are some disadvantages of using the IoT in the EV industry:
- The cost of implementation is high. This may be because there are many different types of devices that need to be connected, and each requires different types of software and hardware.
- The amount of data that needs to be collected can be overwhelming for some businesses, especially if they don't have experience with big data collection or storage systems.
- There are many different types of devices that need to be connected some may not work together well or may require additional programming. So it can take time and money before you're able to see any benefits from your investment in the IoT system.
What Industries Have Benefited from the IoT?
The Internet of Things (IoT) has had a significant impact on the automobile sector. One of the most major developments has been in the manufacturing of cars. The introduction of sensors and other linked devices has enabled manufacturers to collect data on how cars are used, leading to changes in the production process. As a result, automobiles are of higher quality and more efficient.
Another area where IoT technology is making a difference in car safety is. Automakers can discover possible safety hazards and solve them by gathering data from sensors and other linked systems. As a result, automobiles are safer and there are fewer accidents.
Finally, IoT technology is transforming how customers engage with their automobiles. Customers are increasingly utilizing their cell phones and other linked devices to manage their automobiles.
Everything from starting the engine to opening the doors and controlling the temperature control is covered. As this trend continues, it is probable that even more capabilities that allow consumers to operate their automobiles in novel ways will be added.
The IoT will play a major role in the electric vehicle industry by providing real-time data that can be used to improve the efficiency of production and distribution. In addition, the IoT can also be used to monitor the performance of electric vehicles and provide feedback to drivers in order to help them optimize their routes and usage. Ultimately, the goal is to make electric vehicles more efficient, reliable, and affordable for everyone.
What is so unique about IoT technology? With IoT, there is neither a need for human-to-computer nor human-to-human interaction. In other words, everything is connected yet independent.
If we bring Salesforce to the picture, we have an intelligent solution, i.e., Salesforce IoT Cloud, that can get all your data in a single place. Sounds interesting, right? So, what is Salesforce IoT cloud, and how does it benefit businesses? It makes sense to partner with a reliable Salesforce consultant to know more about this robust solution.
What is Salesforce IoT cloud?
Salesforce IoT Cloud allows organizations to create and enrich customer profiles and enter data irrespective of location, channel, time, or device. The robust solution helps implement interaction IoT laws, personalizes outcomes, or allows for simple integration with the Salesforce mobile app. The platform supports organizations to handle enormous volumes of data gathered from different processes, network devices, and locations.
Its practical approach helps develop excellent customer relationships, improving client retention and engagement. By assisting organizations to monetize their IoT investment, Salesforce IoT cloud allows organizations to provide a competitive edge over any connected device. The Salesforce IoT Cloud platform can be integrated with other Salesforce services such as Salesforce sales cloud, service cloud, community cloud, and marketing cloud.
Top Benefits of Salesforce IoT cloud?
Data Analysis with Einstein Analytics: Salesforce IoT cloud utilizes the Einstein Analytics platform to process data gathered from different sources and analyze it. This helps users better understand consumer behavior and preferences while undertaking the necessary steps to attract and retain them.
Augments Customer Experience: All the historical data regarding customer interaction gets stored on the Salesforce IoT cloud platform, which considers their location, service background, and more to provide organizations with a complete view of customer behavior. In the long run, organizations will become more proactive by anticipating customer demands, thereby providing a superior customer experience.
Low or No Code Approach: Due to its low code approach, the Salesforce IoT Cloud allows business executives to carry out their IoT processes without bothering the IT department. The orchestration rules can be set up in a way like that of a Salesforce marketing cloud feature, i.e., 'customer journey.' IoT will automate your business operations by placing triggers and responses in place.
Customer Context: This feature entails the machine learning aspect of Salesforce IoT cloud records and analyses past actions and behaviors of customers to make real-time decisions. The feature considers Customer History, location, and Service History and pools it with IoT device data to provide you with a complete picture of what's occurring.
More Visibility: The process involved in implementing a Salesforce IoT system is a primary consideration in choosing it. Businesses, too, could get a bird's eye view of the process in progress from the traffic view, which is a visual representation of an organization's ROI in different aspects. The visual panel allows organizations to see how IoT products perform in a constantly evolving consumer landscape.
Increases Client Referrals: Clients expect hassle-free connectivity with businesses. Implementing the Salesforce IoT cloud platform makes it possible to build strong customer relationships by being accessible to them all the while.
Enhances R&D Activities: Businesses can make necessary changes to suit customer needs and requirements by tracking consumer behavior and preferences. Besides this, it is also possible to predict the taste of future customers from a pre-emptive perspective. Businesses can make quick decisions or fix the problems by getting a brief understanding of what's operative and what isn't. This improves service delivery.
Increases Lead Generation Process: Besides B2B transactions, the Salesforce IoT cloud can help the sales department gain information about the products linked with the Salesforce IoT cloud. With this information, the Sales team will be able to identify expired items, whose warranty expiration is approaching, and more. They can leverage this data to upgrade their sales processes and reach targeted customers. Businesses can create personalized deals or pitch a new product to the customers if their existing product isn't working well. Most of the data gathered can be used to forecast customer needs in several ways.
Provide Complete Perspective of Customers: By leveraging the personalized reports, Salesforce IoT provides businesses with a 360-degree view of their customers. Based on an organization's requirements, it is possible to modify the advantages.
Seamless Integration with Other Systems: Besides empowering organizations to provide services independently by gathering and processing data, Salesforce IoT cloud is capable of expanding its functionality, permitting third-party integration. Consequently, businesses get to access data from multiple sources, enabling them to explore other aspects of a business.
The Salesforce IoT cloud provides a complete and exact picture of how customers utilize the goods and services by integrating data gathered by their apps, irrespective of their position. The data collected can be leveraged by businesses to create personalized sales and marketing strategies while influencing customer opinion. So, implementing Salesforce IoT cloud will take the client management of every company to a new level. The innovative cloud solution offers infinite potential, which businesses can leverage to make informed business decisions. So, companies now need to integrate the Salesforce IoT cloud into their operations. However, if you wish to integrate the Salesforce IoT cloud within your business ecosystem, ensure you get in touch with a certified Salesforce Consulting Partner.
Against the backdrop of digital technology and the industrial revolution, the Internet of Things has become the most influential and disruptive of all the latest technologies. As an advanced technology, IoT is showing a palpable difference in how businesses operate.
Although the Fourth Industrial Revolution is still in its infancy, early adopters of this advanced technology are edging out the competition with their competitive advantage.
Businesses eager to become a part of this disruptive technology are jostling against each other to implement IoT solutions. Yet, they are unaware of the steps in effective implementation and the challenges they might face during the process.
This is a complete guide– the only one you’ll need – that focuses on delivering effective and uncomplicated IoT implementation.
Key Elements of IoT
There are three main elements of IoT technology:
IoT devices are connected to the internet and have a URI – Unique Resource Identifier – that can relay data to the connected network. The devices can be connected among themselves to a centralized server, a cloud, or a network of servers.
- Data Communication:
IoT devices continuously share data with other devices in the network or the server.
IoT devices do not simply gather data. They transmit it to their endpoints or server. There is no point in collecting data if it is not put to good use. The collected data is used to deliver IoT smart solutions in automation, take real-time business decisions, formulate strategies, or monitor processes.
How Does IoT work?
IoT devices have URI and come with embedded sensors. With these sensors, the devices sense their environment and gather information. For example, the devices could be air conditioners, smart watches, cars, etc. Then, all the devices dump their collected data into the IoT platform or gateway.
The IoT platform then performs analytics on the data from various sources and derives useful information per the requirement.
What are the Layers in IoT Architecture?
Although there isn’t a standard IoT structure that’s universally accepted, the 4-layer architecture is considered to be the basic form. The four layers include perception, network, middleware, and application.
Perception is the first or the physical layer of IoT architecture. All the sensors, edge devices, and actuators gather useful information based on the project needs in this layer. The purpose of this layer is to gather data and transfer it to the next layer.
It is the connecting layer between perception and application. This layer gathers information from the perception and transmits the data to other devices or servers.
The middleware layer offers storage and processing capabilities. It stores the incoming data and applies appropriate analytics based on requirements.
The user interacts with the application layer, responsible for taking specific services to the end-user.
Effective and seamless implementation of IoT depends on specific tools, such as:
Security is one of the fundamental IoT implementation requirements. Since the IoT devices gather real-time sensitive data about the environment, it is critical to put in place high-level security measures that ensure that sensitive information stays protected and confidential.
Asset management includes the software, hardware, and processes that ensure that the devices are registered, upgraded, secured, and well-managed.
Since massive amounts of structured and unstructured data are gathered and processed, it is stored in the cloud. The cloud acts as a centralized repository of resources that allows the data to be accessed easily. Cloud computing ensures seamless communication between various IoT devices.
With advanced algorithms, large amounts of data are processed and analyzed from the cloud platform. As a result, you can derive trends based on the analytics, and corrective action can be taken.
What are the IoT Implementation Steps?
Knowing the appropriate IoT implementation steps will help your business align your goals and expectations against the solution. You can also ensure the entire process is time-bound, cost-efficient, and satisfies all your business needs.
Set Business Objectives
IoT implementation should serve your business goals and objectives. Unfortunately, not every entrepreneur is an accomplished technician or computer-savvy. You can hire experts if you lack the practical know-how regarding IoT, the components needed, and specialist knowledge.
Think of what you will accomplish with IoT, such as improving customer experience, eliminating operational inconsistencies, reducing costs, etc. With a clear understanding of IoT technology, you should be able to align your business needs to IoT applications.
Hardware Components and Tools
Selecting the necessary tools, components, hardware, and software systems needed for the implementation is the next critical step. First, you must choose the tools and technology, keeping in mind connectivity and interoperability.
You should also select the right IoT platform that acts as a centralized repository for collecting and controlling all aspects of the network and devices. You can choose to have a custom-made platform or get one from suppliers.
Some of the major components you require for implementation include,
- Communication protocols
- IoT platforms
- Analytics and data management software
Before initiating the implementation process, it is recommended that you put together a team of IoT experts and professionals with selected use case experience and knowledge. Make sure that the team comprises experts from operations and IT with a specific skill set in IoT.
A typical team should be experts with skills in mechanical engineering, embedded system design, electrical and industrial design, technical expertise, and front/back-end development.
Before giving the go-ahead, the team must develop an Internet of Things implementation prototype.
A prototype will help you experiment and identify fault lines, connectivity, and compatibility issues. After testing the prototype, you can include modified design ideas.
Integrate with Advanced technologies
After the sensors gather useful data, you can add layers of other technologies such as analytics, edge computing, and machine learning.
The amount of unstructured data collected by the sensors far exceeds structured data. However, both structured and unstructured, machine learning, deep learning neural systems, and cognitive computing technologies can be used for improvement.
Take Security Measures
Security is one of the top concerns of most businesses. With IoT depending predominantly on the internet for functioning, it is prone to security attacks. However, communication protocols, endpoint security, encryption, and access control management can minimize security breaches.
Although there are no standardized IoT implementation steps, most projects follow these processes. But the exact sequence of IoT implementation depends on your project’s specific needs.
Challenges in IoT Implementation
Every new technology comes with its own set of implementation challenges.
When you keep these challenges of IoT implementation in mind, you’ll be better equipped to handle them.
Lack of Network Security
When your entire system is dependent on the network connectivity for functioning, you are just adding another layer of security concern to deal with.
Unless you have a robust network security system, you are bound to face issues such as hacking into the servers or devices. Unfortunately, the IoT hacking statistics are rising, with over 1.5 million security breaches reported in 2021 alone.
Data Retention and Storage
IoT devices continually gather data, and over time the data becomes unwieldy to handle. Such massive amounts of data need high-capacity storage units and advanced IoT analytics technologies.
Lack of Compatibility
IoT implementation involves several sensors, devices, and tools, and a successful implementation largely depends on the seamless integration between these systems. In addition, since there are no standards for devices or protocols, there could be major compatibility issues during implementation.
IoT is the latest technology that is delivering promising results. Yet, similar to any technology, without proper implementation, your businesses can’t hope to leverage its immense benefits.
Taking chances with IoT implementation is not a smart business move, as your productivity, security, customer experience, and future depend on proper and effective implementation. The only way to harness this technology would be to seek a reliable IoT app development company that can take your initiatives towards success.
The Internet of Things network of interconnected devices such as sensors, gateways, and computers that transfer the data over a wireless network eliminates the need for human intervention. IoT devices can be remotely tracked, and controlled in real-time. It also enables users to connect and interact with others over the internet. The applications of IoT are tremendous and it can be found in every part of human life, ranging from smartwatches to self-driving cars.
What Is IoT Device Management?
IoT device management refers to the ability to remotely accessing, monitoring, tracking and managing the functionality of IoT devices in order to ensure the deployed devices are secure, up to date and compliant. Here’s a breakdown of the reasons why businesses need an IoT device management platform:
- Accelerate time to market
One of the biggest perks of the IoT device management platform is that it helps developers to reduce the time frame of product development and testing, thereby enabling them to release products to market on time. Furthermore, streamlining and automating network and device management tasks enables businesses to concentrate on their core competencies while lowering costs.
- Secure device on and off boarding
A smart device is not, and should not be, automatically connected to an IoT network. A secure approach is required to configure and add only authorized devices to the network architecture, and a network and device management tool makes this simple and straightforward. End nodes can be authenticated and secure communications established via a web interface by registering and attaching them to the authorized base station using their network keys and identification credentials. Only after the node has completed the onboarding process it will be allowed to join the network and securely transmit data using network-level encryption. Similarly, if deployed nodes are no longer required, they can be easily offboarded from the web UI – without having to travel to the field.
- Streamline network monitoring and troubleshooting
IoT device management platform enables firms to gain a top to bottom view of all registered nodes, network traffic and their status in a single interface. It acts as a central hub for data aggregation across base stations in a network with multiple base stations. This is especially useful for monitoring and identifying unexpected network and device problems. Businesses can quickly identify and determine the root causes of bottlenecks with real-time visibility into incoming data, battery level, and keep-alive messages from individual nodes. For example, if a node fails to deliver messages on a regular basis, the radio traffic may be overloaded. If, on the other hand, it completely disconnects from the network and stops sending messages, it could be due to a hardware or firmware flaw. Similarly, by continuously monitoring battery levels, firms can schedule maintenance for multiple devices at the same time, saving time and money.
- Simplifies downstream application deployment
IoT device management platform serves as a link between the edge network, downstream data servers of users and enterprise applications. Using protocols like MQTT and API calls, a versatile IoT device management solution allows for easy integration with any backend system, whether on-premises or in the cloud. As a result, firms can easily deploy and scale IoT applications to meet changing business needs, whether by adding new devices to an existing app or connecting to a new analytics platform. It also enables businesses to gain a better view of all current integrations and applications from a single window thereby simplifying the management of an entire IoT project.
- Eliminate security risks
Considering the ever-increasing complexity of cyber-attacks, it is critical to equip connected IoT network components such as base stations and routers with the most up-to-date security features. A manual approach cannot keep up with the demand for continuous and timely updates to these critical network infrastructures, particularly those deployed remotely - Here comes the need for an IoT device management tool. It will enable businesses to update operating systems automatically and run security updates from afar, helping them to save money while also ensuring their remote base stations are well-prepared against malicious attacks. Furthermore, round-the-clock monitoring of the network assists firms in the early detection of unusual patterns, such as an increase in data traffic, which could indicate a breach and eliminate security hazards.
The advancements in IoT and AI services have made it critical for businesses to rely on efficient and secure methods to manage and control their networks and devices at scale. An IoT device management platform helps businesses to track, manage and gain real-time insights into all devices and stay on top of their deployment. When combined with a robust wireless solution, it enables firms to seamlessly expand their IoT network and solutions at minimal cost and complexity.
How Doews IoT help in Retail? Continuous and seamless communication is now a reality between people, processes and things. IoT has been enabling retailers to connect with people and businesses and gain useful insight about product performance and engagement of people with such products.
Importance of IoT in Retail
- It helps improve customer experience in new ways and helps brick and mortar shops compete with their online counterparts by engaging customers in different ways.
- IoT can track customer preferences, analyze their habits and share relevant information with the marketing teams and help improve the product or brand features and design and keep the customer updated on new products, delivery status etc.
- Using IoT retailers can increase efficiency and profitability in various ways for their benefit.
- IoT can significantly improve the overall customer experience, like automated checkouts and integration with messaging platforms and order systems.
- It helps increase efficiency in transportation and logistics by reducing the time to deliver goods to market or store. It helps in vehicle management, and tracking deliveries. This helps in reducing costs, improving the bottom line and increasing customer satisfaction.
- Inventory management becomes easier with IoT. Tracking inventory is much easier and simpler from the stocking of goods to initiating a purchase.
- It helps increase operational efficiency in warehouses, by optimizing temperature controls, improving maintenance, and managing the warehouse.
Use Cases of IoT in Retail
- IoT is used in Facility management to ensure day-to-day areas are clean and can be used to monitor consumable supplies levels. It can be used to monitor store environments like temperature, lighting, ventilation and refrigeration. IoT can identify key areas that can provide a complete 360 degrees view of facility management.
- It can help in tracking the number of persons entering a facility. This is especially useful because of the pandemic situation, to ensure that no overcrowding takes place.
Occupancy sensors provide vital data on store traffic patterns and also on the time spent in any particular area. This helps retailers with better planning and product placement strategies. This helps in guided selling with more effective display setups, layouts, and space management.
- IoT helps in a big way for Supply chain and logistics, by providing information on the stock levels.
- IoT helps in asset tracking in items like shopping carts and baskets. Sensors can ensure that location data is available for all carts making retrieval easy. It can help lock carts if they are taken out of location.
- IoT devices can and are being used to personalize user experience. Bluetooth beacons are used to send personalized real-time alerts to phones when the customer is near an aisle or a store. This can prompt a customer to enter the store or look at the aisle area and take advantage of offers etc. IoT-based beacons, helps Target, collect user data and also send hyper-personalized content to customers.
- Smart shelves are another example of innovative IoT ideas. Maintaining shelves to refill products or ensure correct items are placed on the right shelves is a time-consuming task. Smart shelves automate these tasks easily. They can help save time and resolve manual errors.
Businesses should utilize new technologies to revolutionize the retail sector in a better way. Digitalization or digital transformation of brick and mortar stores is not a new concept. With every industry wanting to improve its services and facilities and trying to stay ahead of the competition, digitalization in retail industry is playing a big role in this transformation. To summarize, digitalization helps in enhanced data collection, helps data-driven customer insights, gives a better customer experience, and increases profits and productivity. It encourages a digital culture.
There have been various innovations that have caused a stir in the healthcare business. As we have Artificial Intelligence, Machine Learning, and Augmented Reality technologies. As a result, you see their applications in every field or business, however, some of them are just overhyped or gimmicks.
However, the Internet of Things (IoT) is the most thriving technology, and IoT in healthcare has brought in a plethora of applications that are more than simply gimmicks and are actually pretty beneficial. Aside from the healthcare industry, there is a high need for IoT developers in general. Businesses in a variety of industries, including healthcare, are investing heavily in IoT app development. Let's take a look at how IoT is progressing in the healthcare business.
The benefits of IoT in healthcare are:
1) Simultaneous Reporting and Monitoring
Real-time monitoring through linked devices has the potential to save a million lives in the case of a medical emergency such as heart failure, diabetes, asthma attacks, and so on. Connected devices can acquire relevant medical and health-related data by monitoring the state in real-time using a smart medical gadget connected to a smartphone app.
The linked IoT gadget captures and transmits health data such as blood pressure, oxygen, and blood sugar levels, as well as weight and ECGs. The data is kept in the cloud and can be shared with an authorized individual according to the sharing access authorization.
Furthermore, the mentioned individual may be a physician, an insurance company, a participating health firm, or an external consultant, and it will allow them to check into the situation.
2) Data Assortment and Analysis
Managing a large volume of data is not as simple as it seems for healthcare practitioners. Data acquired in real-time by IoT-enabled mobile devices may be evaluated and separated using IoT-powered mobility solutions.
This will lower the amount of raw data collected while also enabling crucial healthcare analytics and data-driven insights, which will eventually reduce mistakes and speed up decision-making.
3.)Tracking and Alerts
In life-threatening situations, real-time tracking and alerts can be a lifesaver by protecting a crucial patient's health with continual notifications and real-time alerts for proper monitoring, analysis, and diagnosis. IoT-powered healthcare mobility solutions provide real-time tracking, alerting, and monitoring.
This allows for hands-on treatments, more precision, and appropriate intervention by doctors, thereby enhancing the overall patient care delivery results.
4.) Remote Medical Assistance
In the case of an emergency, users may use smart smartphone applications to call a doctor who is thousands of kilometers away. With mobility solutions in healthcare, doctors may check on patients and diagnose illnesses while they are on the road.
Furthermore, various IoT-based healthcare delivery chains are planning to construct machines that may administer medications based on a patient's prescription and ailment-related data available via connected devices. IoT will improve hospital patient care. As a result, people's healthcare costs will be reduced.
What are the challenges of IoT in healthcare?
1) Data Security and Privacy:
Data Security and Privacy are two of the most serious concerns that IoT faces. IoT-enabled mobile devices collect data in real-time, however, the majority of them do not follow data protocols and standards.
There is a great deal of uncertainty around data ownership and regulation. As a result, data held within IoT-enabled devices are vulnerable to data theft, making the data more vulnerable to hackers who can hack into the system and jeopardize sensitive health information.
Fraudulent health claims and the production of phony IDs for purchasing and selling pharmaceuticals are two instances of how IoT device data is being misused.
2) Data Overload and Accuracy:
It is difficult to total information for essential bits of knowledge and inquiry due to the inconsistency of information and correspondence protocols. IoT collects information in large quantities, and for proper information inquiry, the information should be isolated in parts without overburdening and with accurate accuracy for better results. Furthermore, overburdening of information may have an effect on the dynamic cycle in the accommodation area in the long term.
This point is probably not surprising to you. Costs are one of the most significant challenges when considering IoT application development for medical services flexible setups. In any event, the costs are well worth the effort if the IoT implementation addresses a genuine need.
While establishing an IoT application will cost you a lot of money and assets, the benefits will be significant when your company saves time and labor, all while further expanding the business processes, providing additional income streams, and opening up more business opportunities through IoT.
Applications of IoT in healthcare
The growth of IoT is fascinating for everyone because of its diverse range of applications in numerous industries. It has numerous applications in healthcare. Here are some notable Internet of Things (IoT) applications in healthcare:
IoT applications in healthcare are intended not just for healthcare facilities, but also for patients! In a nutshell, IoT in healthcare accomplishes the following tasks:
- reducing the length of time people have to wait at the emergency department
- Keeping track of patients, employees, and inventory
- Improving Drug Management
- ensuring crucial hardware availability
IoT has also offered a number of wearables and devices that have made patients' lives easier. These are the gadgets listed below.
Nowadays, wearables are Bluetooth-enabled, allowing them to connect with your smartphone.
It gives you the ability to filter, equalize, and layer real-world sounds. Doppler Labs is the best illustration of this.
Ingestible sensors are truly a miracle of contemporary science. These are pill-sized sensors that monitor the medicine in our bodies and alert us if any anomalies are detected.
These sensors can aid diabetic patients by reducing symptoms and providing an early warning of significant health risks. One such example is Proteus Digital Health.
Moodables are mood-enhancing items that help us feel better throughout the day. It may seem like science fiction, but it's not that far off. Thync and Halo Neurosciences have already begun working on it and have made significant progress. Moodables are head-mounted wearables that deliver low-intensity electricity to the brain, therefore elevating our mood.
Computer Vision Technology:
PC Vision Technology, in conjunction with Artificial Intelligence, has resulted in drone innovation, which intends to replicate visual understanding in order to empower dynamic in view of it.
Drones like Skydio employ PC vision technologies to detect obstacles and navigate around them. This invention has also greatly aided externally disadvantaged folks in exploring effectively.
IoT-fueled gadgets lessen a significant part of the manual work. For example, a specialist needs to utilize IoT gadgets during patient graphing. Here, IoT sensors can gauge a wide range of od information, for example, circulatory strain, internal heat level, and so forth, and diagram everything into an application associated with estimation gadgets through IoT.
Furthermore, it makes the patient's information promptly available for audit. Such an IoT application could set aside to 15 hours/seven day stretch of a specialist's manual outlining.
In the age of hyper-connectivity, the Internet of Things (IoT) technology has provided countless innovators the opportunity to build software and hardware for different purposes — from medical smart devices and manufacturing to smart cities and homes.
According to Statista, 15.9 billion connected devices will be connected worldwide by 2030. The global IoT spending will reach $1.1 trillion the same year. However, the growing number of IoT apps has also increased the amount spent by businesses to recall defective IoT devices.
You see, developing an IoT device is the only step towards ensuring its longevity. It is also essential to conduct proper QA testing to ensure the IoT software is strong enough to withstand security threats, performance malfunction, and connectivity issues.
Your IoT device should work collaboratively and deliver value to the business as intended at the end of the day. In this article, we will discuss the definition, benefits, process, and types of IoT testing. But first, let us start with the basics:
What is IoT testing?
The general IoT network connectivity comprises four core layers, including the physical layer (sensors and controllers), network layer (gateways and communication units), data management layer (local or cloud services at the backend), and the application layer (software for user interaction).
Since data is heavily transmitted from one object to another over the Internet in the ecosystem, it is vital to verify that your electronic devices can exchange sensitive information easily before the market launch and throughout their lifecycle.
That is why all successful IoT businesses rely on automation, penetration, and performance testing tools to spot any defect in the IoT device before it reaches the hands of end customers.
IoT testing is the practice of conducting QA tests to validate the performance, minimize security issues, and boost the functionality of an IoT device. It broadly revolves around device networks, operating systems, security, analytics, platforms, and standards.
QA testers trace and associate software releases and cycles, test cases and scripts, look for defects, test executions, and gather other requirements. The complexity and variability of IoT testing make planning a crucial aspect of the process.
The significant benefits of IoT testing
QA engineers and developers can provide better service offerings by employing IoT automation testing in their general practices with the right plan and purpose in place. These are the benefits that they can plan to see with IoT testing:
1. Faster time-to-market
IoT testing ensures that businesses can launch their safe and approved IoT products in the market by leveraging automation.
2. Business future-proofing
IoT testing offers an integrated approach for validating IoT platforms' practical and non-functional testing requirements. The practice future-proofs the business by enabling higher interoperability and security with performance testing tools. In the end, you can deliver safer solutions and, therefore, be a better prospect for consumers.
3. New business opportunities
Testing the IoT solutions speeds up innovation with less risk and without delaying the response time or using too many resources. With set testing processes, businesses can experiment much more freely with IoT products in the market with minimal human intervention.
IoT testing framework
Given the complexity of IoT solutions, check all layers separately, verify the entire system's operation, and determine the interoperability level of several layers. Please refer to a robust testing framework to ensure the testing is done properly across all software versions. Some fundamental features that should be a part of the framework are listed below:
1. Performance testing
It is essential to strategically approach the development and implementation of an IoT testing plan. That is why measure the IoT app's performance metrics such as throughput, CPU utilization, latency, and so on. Validate the stability of the entire app's functioning under changing operational and network conditions such as intermittent failures.
2. Security testing
Testing how safe and secure an IoT app functions is paramount. After all, many users access a massive amount of data all the time. You must, therefore, have data privacy controls and validate users via authentication as a part of your security testing processes.
3. Compatibility testing
Multiple devices are connected in a typical IoT ecosystem with different software and hardware configurations. Please ensure your IoT product is highly compatible with different tools and platforms for its smooth functioning.
Use data recorders, for instance, to check out how the recorded data plays across different device end-points automatically and freely.
4. Device interoperability
IoT testing ensures that the end customers have a state-of-the-art user experience across multiple channels such as web apps and mobile devices.
Visualize the required use cases and arrange the testing process. For instance, all layers should be checked for security and functioning separately. Then deploy APIs to review the application and data management layers. Test the physical and network layers for compatibility.
Seven types of testing tools
To execute a wide range of IoT tests at the staging phase, use the right automation, visualization, simulation, and measurement tools. Here are the different IoT testing tools that can make a ton of difference to how you approach the process:
1. Device or protocol simulators
As the name suggests, these IoT testing tools are often simulated in large numbers and configured to map the required real-time scenarios. The simulators are standards-compliant and support numerous IoT protocols in format testing processes.
2. Record and playback test automation tools
These tools are multi-purpose as QA testing teams find them useful in many test scenarios. The assessment involves recording a user's actions and matching objects behind the scenes to identify which units of code are routinely used and how. In this type of testing, a coded test script file is generated, which the QA engineers replay as is.
3. Mobile testing tools
These IoT testing tools offer automated functional mobile testing, replicating customer experience and ensuring the IoT app works as expected.
4. API testing tools
Integrate an automated API testing tool with your continuous integration pipeline for improving your IoT app's codebase quality. Detect bugs early on in the IoT app development lifecycle with end-user application testing.
5. Visualization tools
The real-time validation of the IoT application is difficult and time-consuming. Introducing IoT data visualization tools can help finish the development process faster with minimal dependence in the real-time environment.
That is because they initiate the cost-friendly and timely execution of compatibility tests without making any hefty investments in the hardware, browsers, platform services, operating systems, and so on.
6. Automated deployment tools
Automation testing tools help create virtual machines on the cloud or on-premise for rapidly commissioning managed services and configuring and deploying customized applications and services. Improve speed, productivity, and effectiveness of quality over execution.
7. Security testing tools
These can be categorized as static code analysis, threat modeling, and run-time threat-inducing. Unearth vulnerabilities, prioritize them, and offer recommendations on how to fix them with the help of security testing tools.
The ultimate IoT testing process
An IoT setup deploys various software testing approaches that are slightly different from the regular QA practices for validating IoT apps. Here is what a typical IoT testing process looks like:
1. Lay the groundwork with the help of QA engineers
Assign a QA testing team while the specifications for the IoT application are being decided. Having them on board at the beginning will help them choose how often the IoT development team will need to collaborate with the QA engineers to prioritize relevant test cases, enable regressing testing, and efficiently manage defects.
They will also confirm the IoT testing risks and design an overall risk mitigation plan for your IoT app development project. Taking the QA team's help ensures proper test automation frameworks and configuration to address quality issues and whatnot.
2. Prepare for IoT app testing
Even when the QA team has designed a comprehensive testing strategy, they are still required to regularly revise and update the test artifacts. It would help if you also had a balanced combination of manual and automated testing to make sure the IoT app is error-free and to avoid data- and time-intensive repetitive test cases execution.
Prepare for conducting different types of testing, including conducting usability testing, simulating sensors, verifying data integrity, determining the end-to-end workflows of the entire IoT application, and flawless communication between various IoT app components with their tech stack compatibility.
3. Select a vendor for outsourced IoT testing
If you do not wish to carry out the function in-house, consider outsourcing as it proves to be more cost-effective than hiring a full-time staff. Plus, you have access to a greater talent pool and technological expertise. IoT testing becomes hassle-free. To select a fitting vendor of automation testing tools, please do the following:
- Shortlist vendors with successful IoT testing projects in your sector.
- Create a comprehensive request for proposal which includes your IoT solution's specific requirements.
- Consider their existing tech stack and human resources, so you do not get stuck in the middle of running tests.
- Understand their approach to an IoT testing strategy, testing toolkit, the planned test automation, and so on.
4. Launch your IoT tests
Once you have figured out your resources, it is time to design test cases and build test scripts. Check the end-to-end functioning of the IoT product by creating an IoT test lab with the help of service visualization tools. These labs serve as the digital portfolio for experimenting and simulating real-time experiences that fuel more innovative automation testing tools.
Over to you
IoT solutions can be challenging to develop, manage and test given the multiple components and interactions between them. It is, therefore, necessary to monitor the performance of the app more closely with automation testing tools. A thorough testing process ensures a quality IoT product and high customer satisfaction. So, how do you plan to get started with IoT testing?
Is it not amazing how we all started living in a hyperconnected world without even realizing it? It all started with internet access on smartphones. Now we have digital assistants that can turn on the lights and set the preferred temperature at home even before we arrive. We can work, have fun, and socialize through our phones and connected devices. Now the cities are embracing advanced technology to inter-connect various functions and improve the usage of infrastructure, energy, utilities and public services to elevate the quality of living. This digital phenomenon that we are experiencing in our day to day lives is the Internet of Things (IoT).
What is IoT?
Internet of things is popularly known as IoT. IoT refers to a hyperconnected digital ecosystem where human-to-human or human-to-computer interaction is enabled through the internet network. The machines, humans, objects are allotted Unique Identifiers (UIDs) through which they can interact, perform within the digital ecosystem.
For example, a sensor installed in the farm may alert the farmer when soil moisture is not within the normal range or anything else that requires the farmer’s urgent attention. Similarly, a chip in the car’s tire may alert the driver when the pressure is low. This may save him from a flat tire. Or it can be as simple as your refrigerator telling you to bring milk home when you run out of milk.
In the IoT universe, everything is assigned an Internet Protocol (IP) address. This IP enables them to communicate and transfer data they acquire from their surroundings using an IoT gateway or devices.
What Does the Future Look Like?
A projection by Statista suggests that the market of IoT will breach the benchmark of 1 trillion USD in 2030. It indicates more than 100% growth just within a decade. The study further suggests that the number of IoT connected devices worldwide will triple during this period. IoT technology and devices will be consumed in almost all industry verticals and consumer markets.
Statista forecasts that by 2030, the world will have more than 8 billion IoT devices. IT will be mainly used in electricity, gas, steam, AC, water supply, waste management, retail, wholesale, transportation and storage and government functioning. Currently, smartphones are the most used devices for IoT, but the future will see several innovative devices that will transform the experience of living.
IoT will usher in an era of connected vehicles, payment terminals and automation that will reduce human intervention in the day-to-day process and elevate the quality of life by creating an efficiently connected world.
How will IoT Impact Businesses?
An assessment from GlobalData’s Thematic Research indicates that giants like Tesla, Amazon, Qualcomm, Samsung have realized the importance of IoT way before the others and they are best positioned to take optimum advantage of this technology especially in the automotive sector.
Statista’s report suggests that businesses across the globe are embracing IoT to increase cyber security, reduce operational costs and improve efficiency. In 2019 only, 120 billion USD were spent on IT security. Worldwide governments have also increased their spending after smart city initiatives and IoT technology.
These developments indicate that IoT is a major emerging trend. The companies that will match steps with the changing trends will have a competitive advantage over others. If you own a business, the time to look for an IoT solution company is NOW.
What to Expect?
- A brighter, environment-friendly future:
While reducing human intervention and providing enhanced personal autonomy, IoT companies are also working towards finding sustainable, environment-friendly solutions. Several IoT companies are working towards creating a future with minimized waste and optimized use of energy. This is done by predicting maintenance activity, reducing downtime and finding ways to reuse and recycle. In smart cities, waste management is a segment wherein IoT is greatly contributing.
- Better security:
From your baby monitor to your digital locker to your car, everything will be connected through IoT devices for an enhanced living experience and better security. At present, many IoT devices such as wearables do not have strong security measures in place. The more connected world is also prone to cyber attacks from many directions. The IoT companies are actively working to enhance the safety and security of IoT devices. This suggests that in near future, we will be living in a more secure digitally interconnected world.
- Confluence of technologies:
IoT connects people, devices, systems but when it is combined with other emerging technologies such as Artificial Intelligence (AI), it can work wonders. For example, AI can provide valuable insights from the data collected by IoT devices. Without it, the data is of no use. The tech companies are merging IoT with various technologies like AI, ML (Machine Learning) to get actionable insights to derive optimum benefits.
- Decentralized network:
More connected devices also mean more pressure on the cloud infrastructure and rising maintenance costs. Realizing this emerging challenge, tech companies have already started looking for alternatives to a centralized network to reduce dependency on a single network. Experts believe that the blockchain approach will prove to be a game-changer.
In a nutshell, IoT is a prominent, inescapable technology trend that is going to shape the way we live and work. If you want to be a frontrunner, the sooner you embrace it, the better.
There was a time when we used to imagine how self-driving cars and home automation systems would look. However, over time the advancements in the IT domain have converted our fascinating assumptions and stories into reality.
In order to transform our imagination into reality, emerging technologies, such as AI/ML, IoT, and cloud, have played an essential role. These technology domains are like a buzzword across the global industries. Most of them, including AI and cloud, has become the mainstream technologies for IT operations, but IoT is yet to become one.
What we know about IoT technology is that it is some sort of technology connecting electronic devices communicating over internet connectivity. But you know what fascinates us the most, is that why it is known as the Internet of Things? Let’s find out.
What is IoT (Internet of Things)?
In simple terms, the Internet of Things (IoT) refers to a system where several physical (circuit-based electronics) devices are interconnected and communicate via Internet connectivity. They also gather and share data among connected devices, applications, or systems to further perform analytical operations. The data is shared among them in such a way, feeling like they are actually communicating to us and other connected things.
Apart from being a commercial system, the IoT platform is being used in many props, from smart wearables to industrial sensors, biotelemetry, and many others.
As per the research of Statistica – a leading research firm, the adoption of IoT technology or devices is expected to reach 13.8 billion units by the end of 2021 and 30.9 billion units by 2025.
The History of The Internet of Things:
The first forecasting about IoT was done by Nikola Tesla in 1926, where he said that: “When wireless is perfectly applied the whole earth will be converted into a huge brain, which in fact it is, all things being particles of a real and rhythmic whole. We shall be able to communicate with one another instantly, irrespective of distance.”
Further, the first project of connecting sensors and intelligence to the basic things was first ideated in the decade of 1980-the 1990s. Also, the journey from internet-connected vending machines to self-operable cars was very slow due to some technology and required skills barriers. Initially, the chips were big and bulky in size, creating barriers to establishing effective communication between objects.
Today, processors have become very cheap, compact, powerful, and cost-effective to connect billions of devices together.
The Invention of the RFID tags – They are more like low-power chips establishing wireless communication and have solved some connectivity-related issues by increasing internet broadband’s uptime alongside cellular and wireless networking.
The Invention of IPv6 – It is among another connected internet of things providing sufficient IP addresses for connecting IoT devices of the whole world. It plays an essential role in scaling IoT networks.
In the beginning, IoT was a buzzword among businesses and manufacturing industries where its application used to identify as M2M (Machine-to-Machine), but now it is being mounted in our homes, offices, and many places with smart devices.
This way, IoT technology is transforming our way of living, and we all can agree with it today.
Benefits of Having IoT Technology In Place:
Better Data Monitoring:
The IoT technology primarily helps us in monitoring. It also helps us detect the precise quantity and quality of supplies, check the air quality at home, and many others. It also provides data that is difficult or even almost impossible to collect flawlessly. For example, it can detect the quantity of printer ink present in the printer and let us know that it’s time to buy a new ink cartridge to avoid future hurry and trips to the store. The advancement of IoT has been done to the extent that it can also check the expiration of the product.
Nowadays, technologies have become so advanced that real-time information sharing can be done smoothly from anywhere across the world with just a smart device and internet connectivity. IoT devices integrated with emerging technologies like AI/ML and cloud can make it possible to share data from one location to another in real-time.
The more organizations adopt IoT devices to enhance their productivity and profitability, the more this technology will be tailored to help businesses achieve success. IoT devices are increasingly impacting from cybersecurity to workforce efficiency alongside companies’ bottom line. If IoT devices are built using highly integrated sensors, they definitely support business applications to run at their peak level at reduced maintenance costs.
Efficiency and Productivity:
The efficiency in terms of the IoT can be referred to as automating repetitive or time-consuming tasks that ultimately cut down the overall time and effort investment. For example, an IoT-based automated program for converting PDF into other formats and sending it to the respected recipients directly. This process eliminates obstacles to PDF editing and archiving alongside better communication and documentation speeds.
IoT can be considered the next-gen technology that automates all of our mundane workloads, gathers data in real-time, performs analytical processes on those data, and provides actionable insights to their improvement areas at reduced costs. IoT technology also plays an essential role in creating new business opportunities for organizations through innovations to traditional IT operational models. Also, they offer a better customer experience, which also acts as a revenue generation model for businesses.
Progressive web apps are the next big thing for the mobile web today. It was by Google in 2015 and since then it has already attracted a lot of attention as it offers relative ease of development. This is with instant wins for the application’s user experience. You would agree a progressive web app is simply a web app installed on devices to deliver a user experience that is similar to that associated with native apps. Think of a PWA as a combination of web apps and native apps; they serve to ease the usability of a given app across a variety of devices. One of the biggest advantages PWAs offer is that they help companies target multiple platforms in one go. But what does any of that have to do with IoT? Why don’t you read on and find out?
1. Better user experiences: Given the usability of IoT and the many, many benefits it brings to the table, it ought to come as no surprise that IoT-driven apps are used across not only different industries but also different departments within any given industry. So what role do PWAs play here? Well, PWAs help ensure seamless workflows via service workers as well as their ability to manage device caches. In this context, PWAs also help deal with challenges related to data latency; this means users gain the ability to pause their task and be able to resume from right where they left off.
2. Improved security: In the general digital world, security is one of the biggest concerns as is. So imagine how much more important it becomes when we talk about IoT. Unsurprisingly, IoT apps necessitate high levels of security measures to avoid the risk of hacks, data breaches and safeguard data. To that end, TLS makes sure that the delivery of PWAs is executed via secure HTTPS connections to assure the security of the data. Plus, PWAs also keep secured and unsecured content on web pages distinct, thus further closing any gaps in the security of distributed networks.
3. Engaging design: The thing about the Internet of Things is that it involves a continued exchange of data to enable the requisite control over devices and processes from wherever the users may be. Now, for IoT to truly achieve its potential, the apps involved in the process must be responsive and users should be able to access the required data from across devices, such as smartphones, tablets, laptops, etc. As you can imagine, building an app for each of such devices and then countless different screen sizes, OS platforms, hardware capabilities, etc. within these subsets is not an easy task. Thankfully, we have PWAs to help address this particular problem and ease IoT development projects.
The business world is becoming decidedly complex on account of the rapid evolution of technology. Thankfully, the market has plenty of solutions that empower companies to keep up with the times. The union of two of such leading technologies, i.e. Progressive Web Apps and the Internet of Things, is among these solutions that stand to empower companies to not only survive but also thrive in today’s cut-throat market. As demonstrated via the discussion above, the duo can, together, help companies offer substantially improved user experiences, achieve robust levels of security, and so much more. If you too want to leverage the might of this union for your business, then we recommend you start looking for a web app development team right away. Their expertise will prove to be invaluable to the success of your company’s endeavors.
Internet of Things (IoT) today has brought a significant change in our day-to-day lives. And, with connectivity improving in the last few years it has become more widespread with the passing time. This technology has gained a lot of traction with the help of growing mobile technology. It is expected to witness a surge in the number of IoT applications that are expected in the coming years.
So, it wouldn’t come as no surprise that companies are now starting to consider the integration of this nifty technology with iOS app development. This is because of the benefits such as ease of data collection, employee mobility, process automation, etc.
The integration of IoT into iPhone app development is one of the hottest technologies. It is making the rounds these days. Interestingly, this helps create numerous business opportunities for many enterprises across various sectors as more and more people find their way into the connected world of devices with data.
Before we move on to discussing how one can pick the right IoT development provider, allow us to also quickly list some of the main challenges you are likely to face during this process.
The development of IoT-driven iOS apps is also subject to a plethora of challenges and concerns as is any other digital product. Nonetheless, in the specific context of IoT apps, some of the key issues that are likely to emerge during the development process are connectivity, compatibility, privacy, and security. We mention these challenges to help you ensure that these challenges are properly addressed during the development process.
Now, some tips to help you find the right service provider for developing iPhone apps fortified with IoT.
1. Before you set off to find a development partner for your IoT-fortified iOS development project, it is highly advisable that you first take the time to understand precisely why you want to develop such an app. Take the time to elucidate the goal of developing such an app, what you expect to achieve with it, who is your target audience, etc. All these factors will, then, help you understand what your app should look like, the features it must have, the challenges you will face, and the kind of skills and experience you will need to help you get through this process with a robust product on the other end.
2. The next factor you must keep in mind while looking for a development partner is that the company you choose must be able to help you build a top-quality IoT-driven iOS app and that too without burning a hole in your pockets. What that means is to find a service provider who can deliver the required product without needing massive investments.
3. Now that IoT has firmly established itself as a force to be reckoned with, plenty of development service providers are looking to cash in on the popularity of this new technology. However, that does not necessarily mean they have the skill or experience one needs to develop high-quality iPhone apps. This is why experts recommend opting for a reputed company, even if engaging their services is comparatively more expensive. This will help ensure the timely development of a robust app.
It is clear as day to see that IoT brings a whole lot of value to the table, more so when it comes to iOS apps and their development. We understand trying to embrace new technology in your business and apps can be an intimidating endeavor, but hopefully, the above discussion can help allay some of the concerns you may have had about the process. For the rest, it is advisable to find an expert development company that has the relevant skills for developing iPhone apps for your business and the industry in which you operate. Once you find a trusted development partner, the rest of the process will be rather simple to navigate through.
Waste management is a global concern. According to The World Bank report, about 2.01 billion tonnes of solid waste is generated globally every year. 33% of that waste is not managed in an environmentally safe manner. Waste management in densely populated urban areas is a major problem. The lack of it leads to environmental contamination. It ends up spreading diseases in epidemic proportions. It is a challenge for both developed and developing countries.
By 2050, it is estimated to grow to 3.40 billion tonnes. But here is the catch. IoT waste management systems can help, Municipalities across the globe can employ IoT to manage waste better. IoT technologies are already being employed for modern supply chains. IoT waste management systems have become invaluable as they optimize and automate most of the processes in the industry. IoT adoption, however, is far more significant on the supply chain side. While many IoT-based waste management systems are already in place, a lot of challenges hold them back.
A smart city collects data of personal vehicles, buildings, public transport, components of urban infrastructures such as power grids and waste management systems, and citizens. The insights derived from the real-time data help municipalities to manage these systems. IoT waste management is a new frontier for local authorities, aiming to reduce municipal waste. As per a recent survey by IoT Analytics, over 70% of cities have deployed IoT systems for security, traffic, and water level monitoring. It is yet to be fully deployed for smart waste management systems using IoT.
With rapid population increase, sanitation-related issues concerning garbage management are on a decline. It creates unhygienic conditions for the citizens in the surrounding areas, leading to the spread of diseases. IoT in waste management is a trending solution. By using IoT, waste management companies can increase operational efficiency and reduce costs.
The waste collection process in urban areas is complex. It requires a significant amount of resources. More than $300 million per capita is spent annually in collecting and managing waste. Most of the high-income cities charge their citizens to cover a fraction of this expense. The rest of the expense is compensated from the tax revenue, which financially burdens the local government.
Municipalities and waste management companies have improved route efficiencies. But they haven't leveraged technological innovations for improving operational efficiency. Even with the route optimization process, the manual process wastes money and time. The use of smart devices, machine-to-machine connectivity, sensors, and IoT can reduce costs. A smart waste management system using IoT can reduce expenses in the trash collection process. But how? How does the use of IoT in waste management improve waste collection efficiencies?
How Does IoT in Waste management Respond to Operational Inefficiencies?
A smart waste management system using IoT improves the efficiency of collecting waste and recycling. Route optimization is the most common use case for using IoT waste management solutions, which reduces fuel consumption.
IoT-powered, smart waste management solutions comprise endpoints (sensors), IoT platforms, gateways, and web and mobile applications. Sensors are attached to dumpsters to check their fill level. Gateways bridge the gap between the IoT platform and the sensor, sending data to the cloud. IoT platforms then transform the raw data into information.
Benefits of IoT Waste Management Solutions
There are several advantages of using IoT-powered waste management solutions.
- Reduced Waste Collection Costs:
Dumpsters that employ IoT can transmit their real-time information on fill-level. The data is shared with the waste collectors. The use of data and selection of optimum routes leads the waste collection trucks to consider the dumpsters with high fill levels. This saves fuel, money, and effort.
- No Missed Pickups:
The smart IoT waste management system eliminates the overflowing of trash bins. The authorities are immediately notified when the trash bins are about to fill up to their capacity. And the collection trucks are scheduled for pickup.
- Waste Generation Analysis:
IoT waste management isn't about route optimization alone. The actual value of an IoT-powered process lies in data analysis. Most IoT solutions are coupled with data analytics capabilities. They help IoT waste management companies anticipate future waste generation.
- Reduction In Carbon Dioxide Emission:
Optimized routes cause less fuel consumption. They reduce the carbon footprint and make the waste management process eco-friendlier.
- Efficient Recycling:
Over the years, the appearance of consumer electronic devices in landfills has become a growing concern. This is due to its harmful chemicals and valuable components. But this concern also presents an opportunity. IoT offers an opportunity for businesses by using sanitation systems to recycle e-waste for resources.
- Automating IoT Management Systems:
IoT waste management can also be helpful in waste categorization. The use of digital bins can help in automating the sorting, segregation, and categorization of waste. This saves a lot of man-hours. A Polish company Bin-e combines AI-based object recognition, fill level control and data processing. Its 'Smart Waste Bins' identifies and sorts waste into four categories - paper, glass, plastic, and metal. This makes waste processing more efficient.
Future of IoT Waste Management
IoT waste management is a boon. The growing use of IoT linked with the management of everyday urban life improves the everyday experience of the citizens. Additionally, it reduces carbon footprint. But to do so in the waste management segment, more support is needed from the public sector through incentives and regulations. The private sector needs to contribute via innovation. Engagement from the various state agencies is required to implement the usage of IoT applications. This will help build a more sustainable future.
Those managing the waste collection, sorting, segregation and categorization, can benefit from a smart waste management system using IoT. By employing IoT in waste management, waste management companies can increase operational efficiency. It can reduce costs and enhance the satisfaction level of citizens by ensuring dumpsters don't overflow.
Many businesses are already taking advantage of IoT solutions to improve their efficiency and create new revenue streams. However, if you're considering launching a connected business, one of the most important factors to contemplate is the cost of IoT software implementation. This article will give you an overview of what goes into IoT software development and maintenance.
Different factors feed into the cost, but the two most common concerns for companies getting into IoT are the cost of initial software development (or “integration”) and ongoing expenses after devices have been deployed. Unfortunately, as key stakeholders ponder over the ever-present build vs buy dilemma, the ones who lean towards building often tend to underestimate both significantly.
Let's take a look at a minimum set of software products you would need today to run a connected product, business, or service. First of all, firmware - software that is uploaded and then runs on the hardware. It provides a low-level control for the device's specific logic. Networks and connectivity – it's a part of firmware development, but I would move it into a separate domain, crucial for any IoT implementation.
Cloud is any service made available to users on demand via the Internet from a cloud computing provider's servers. The IoT servers have different purposes, like administration, monitoring, data gathering and analysis. Applications - once the device is connected, in today's reality you would need a user interface to interact with the device or service, configure it, control and monitor remotely, visualize processes, etc. It can be a touch control, a mobile app, a web app, a voice app (e.g. Amazon Alexa skill), etc.
Working with deployed connected products also usually requires two different types of apps: customer-facing applications (remote control, automation settings, maintenance alerts) and applications for internal company use (fleet management, analytics, device health tracking, performance tracking and maintenance alerts). And one thing is to offer an app, and a totally different thing is to build an app people will actually love to use. The latter requires a particularly strong UI/UX expertise in addition to the expected front-end, back-end and QA resources.
As part of an IoT solution, you'll need additional storage capacity and processing power to perform analytics, run reports, and house the vast amounts of data that will be generated. Invoicing for these capabilities can vary—from a fixed monthly cost to metered billing—so make sure you understand the pricing model to anticipate cash flow better.
Various IoT platforms offer parts of the solutions for the software needs mentioned above. However, it often takes at least 3-5 different vendors to get everything an IoT powered business needs. Not only is it challenging to manage so many vendors, but also the costs really start adding up, making IoT implementation and maintenance pricing prohibitive for many companies, especially the smaller ones.
Fortunately, there are now options like Blynk IoT platform that have launched solutions tailored specifically at small businesses and startups. As a result, engineers and entrepreneurs worldwide can build and commercialize connected products without the heavy investment typically required to start an IoT-enabled business. Anyone with an MCU, some coding skills, and a great product idea can create an IoT business. And their monthly software costs will be less than what they pay for a typical TV subscription in the US.
Out-of-the-box, Blynk is supposed to cover 90-100% of software needs a business typically faces in the first 2-3 years of IoT operations. The platform functionality includes device provisioning and management, data hosting in the cloud, mobile and web apps for customers and staff, firmware over-the-air updates, user and organization management, data analytics, all kinds of automations and much more.
IoT software - build or buy?
As you can see, building your own IoT software from scratch is not a cheap endeavor, especially with a team based in the USA. If you have all of the right people on board and have a bulletproof ROI model for your IoT investment - go for it, build in-house. But if you are an OEM whose main focus remains on their core products and you care about optimizing costs and your time to market - then you are probably better off leveraging a solid IoT platform. Those folks have already spent those years (and in most cases, millions) building out the software you need and testing it out with real clients, in real world conditions, with all of the priceless learnings that come with that.
Enterprise Resource Planning (ERP) systems, as the name suggests, enable a company, no matter the industry, to better plan the use and management of its resources and achieve seamless operations. Such solutions, when integrated with the Internet of Things (IoT), i.e. a network of connected devices that enables the exchange of data in real-time, can work wonders in the manufacturing sector. No, really. Now, if you are wondering why that is, allow us to demonstrate via some key benefits of this duo.
- Better management of assets: Perhaps one of the best things about technologies and their evolution that helped businesses tend to their assets, machines, and equipment much better than before, i.e. not wait to tend to it till it has broken down and rendered unproductive, even if temporarily so. But thanks to IoT sensors embedded in such assets, it becomes that much easier to identify any wear and tear, any issues, etc. across their lifetime. These factors are then flagged to the ERP software, which then further informs the appropriate teams and people responsible for the maintenance of such assets. This allows companies to undertake preventive maintenance, thus prolonging the life of their assets. It also helps ensure that operations are not interrupted since maintenance work can be scheduled in a manner to prevent or minimize downtime.
- Access to real-time analytics: As the basic idea of IoT suggests, what they do is double up as a source of 24x7 information. They glean data collected from the sensors and then channel said data into the requisite systems. This ability to collect data at all times, from all the connected devices, means manufacturing businesses can process the data through ERP systems to gain access to highly valuable information such as market trends, processes that might need improvements, any possible quality issues, and so much more. Such information, in turn, drives much more informed strategies and marketing-related decisions and that too in real-time.
- Improved quality control: Quality is typically one of the key concerns on the priority list of any business involved in manufacturing, no matter what it is that one may be making. Of course, this is where long-established, archaic quality checks would come in, but the problem is that it is quite time-consuming, prone to high levels of human error, etc. This problem, thankfully, is easily addressed with an IoT-integrated ERP solution, which can empower companies and their management to better the quality of their offerings via round-the-clock monitoring of their production processes.
As the world and the technologies around us continue to evolve at a dizzying pace, ERP solutions have emerged as the crowd favorite for all modern businesses. Now, as evidenced from the above discussion, the said popularity of enterprise software development, fortified with advanced technologies such as IoT, artificial intelligence, etc., can bring a world of benefits to manufacturing companies as well as those operating in other sectors across the globe.
Hence, driving the demand for such solutions further up. With that being said, if you too wish to make use of all the aforementioned benefits and countless others such as automation, better levels of customer service, and more, you know the integration of ERP with IoT is the right way forward.
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