We’ve been experiencing tremendous changes in our lives with the advent of IoT-based devices and equipment. So, the demand for IoT development services and the guidance of DPO services has increased in various industries, including healthcare, logistics, education, retail, and others.
Still, the future of IoT is in its win-win combination with artificial intelligence. For the last few years, growing demand for AI and IoT interoperability is observed in almost every sector where IoT has proved its efficiency. Let’s take a closer look at how we can leverage the two technologies combined.
Artificial Intelligence Meets IoT: AIoT
Before we cover the concepts of AIoT, it’s crucial to understand what artificial intelligence and the internet of things stand for. So, IoT is a technology enabling devices to connect to the Internet to gather, send, and process information. Artificial intelligence allows devices to learn things and act accordingly with the patterns learned.
These two technologies have influenced many industries while applying independently. Still, the combination of AI and IoT makes a revolution within many sectors. While IoT is the main system, AI helps it make decisions and control the overall system.
In everyday life, the combination of AI and IoT produces a brand new concept called AIoT. The technology helps devices automatically learn from how they are used and make decisions without human interference. In simple words, IoT collects data, and AI analyzes and provides relevant insights to enhance efficiency and productivity.
Now we have an idea of what AIoT is, so how does it impact businesses and their customers?
Benefits of AIoT or Artificial Intelligence Technology
IoT and AI complement each other and bring many new opportunities both for businesses and end-users to benefit from the innovation. It’s predicted that growing software market. Let’s dive into how businesses and their customers can leverage AIoT., while the impact of AI technology is likely to introduce a
Benefits for Businesses
Smart Business Decisions
It’s projected that by 2025, about 80 billion devices will be connected to the Internet. IoT sensors collect a huge amount of data that provide significant operational insights for business owners. Nevertheless, it can be rather challenging to manually structure the information and extract valuable analytics. And here’s when AI comes into play. AI-based solutions help analyze and intelligently manage the extracted data to make smart business decisions. In this way, factories and other enterprises, for example, can leverage AIoT for predictive maintenance. When a machine learning algorithm anticipates an issue based on the data collected by sensors, it can serve as a trigger for maintenance.
Streamlined Operational Processes
Thanks to AIoT concepts, real-time monitoring is getting more intelligent, enabling devices and equipment to make autonomous decisions for optimizing operational processes. For example, AI-assisted HVAC systems can detect patterns in the data gathered by thermostat temperature sensors. This helps with predicting an optimal temperature and controlling the thermostat’s occupancy. Here’s another example of how businesses can leverage AI and IoT integrated together. Human face recognition integrated into smart sensors used in buildings will enhance real-time remote monitoring of security in office buildings.
Enhanced User Experience
With AIoT, you can make more precise predictions on your customers’ behavior. AIoT technology makes it easier to understand customers’ needs and challenges. For example, in e-commerce, AI-based algorithms analyze customers’ behavior on the website and allow the online retailer to provide a more personalized purchasing experience to their customers. Still, IoT and AI can bring even more opportunities to traditional store-based retailers. The inventory data about the occupancy of aisles (which one has no customer visits or which one needs refilling faster) allows retailers to predict customers’ behavioral patterns. Finally, the implementation of advanced bots and speech recognition enables better user engagement and communication.
Real-Time Monitoring and Preventive Actions
What makes artificial intelligence valuable for IoT technology is the capability to monitor equipment on a real-time basis. When something goes wrong, AIoT allows autonomous decision-making to resolve the issue. In this vein, for example, navigators in vehicles can identify traffic jams and suggest an optimized route to detour them. AI-assisted IoT sensors can also detect issues with vehicles and bring the driver’s attention to it.
Benefits for Customers
With the advent of AI and IoT, end users can also experience the technologies’ advantages. Below are just a few benefits from the point of view of an end-user.
- With artificial intelligence technology, predictive learning capabilities help customers save their time and efforts by substituting end-users when executing time-consuming repetitive tasks.
- Machine learning algorithms help health-tracking wearables function more efficiently and enhance the user experience.
- Detecting behavioral patterns and personal preferences allows end-users to have a more personalized product or service experience.
Role of AI in IoT Security
Recent trends and the impact of a global pandemic reveal a huge increase in Symantec, IoT devices experience an average of 5200 attacks per month.from mobile and IoT devices. According to
Traditional cybersecurity methods are unable to scale up the speed to keep up with modern cybersecurity threats. AI helps IoT devices to analyze a huge amount of data in the shortest period of time and provide advanced visibility on potential threats. AI power to detect and analyze dangerous patterns allows organizations to stay a step ahead of cyber threats. With instant feedback on everyday alerts, you can respond to potential threats much faster.
How AI and IoT are Influence Industries
Artificial intelligence and IoT are blazing a trail in almost every industry. Ranging from logistics to retail, there’s hardly any industry that hasn’t been affected by AI and IoT advancements. To understand better how the technologies are influencing some industries, we’ll quickly cover a few examples below.
IoT has a long way to go in the logistics industry and has become a core technology applied. With AI technology innovations, logistics is revolutionized. Applying IoT solutions, companies have previously used historical data to optimize the logistics of routes, vehicles, and staff. Integrating artificial intelligence in IoT applications, companies can now monitor and optimize processes in real-time. So, edge devices can transfer real-time transportation and goods shipment data to the centralized core, whereas AIoT solutions can communicate instructions on optimized routes with drivers.
Smart Control in Buildings
By investing in AIoT, building owners can take security measures to a new level. Environmental IoT sensors powered by face recognition can monitor and detect people and their behavior in buildings and around them in real-time. Video and photo records allow business security staff to decide on the list of visitors allowed to grant access to the building premises. This helps businesses stay safe by preventing unknown visits or other dangers. Moreover, smart control systems can record the energy consumption in the building and optimize it if necessary, saving energy and money for businesses.
Smart Cameras in Stores
Face recognition can also provide lots of insights on what kind of people visit a store and what they prefer to buy. AI-powered cameras installed in stores can capture photos and videos of all the visitors and recognize some useful data about them, including gender, products they usually buy, shopping habits. All this information can be used for strategic planning and marketing activities.
Smart Watches and Body Sensors
Mobile healthcare devices are now more intelligent with AIoT. Smart watches and body sensors help doctors with remote healthcare consultations. Smart watches can detect the abnormality in a user’s condition and communicate it to a doctor. This intelligent capability of wearables helps in detecting even minute physical changes, preventing more severe medical issues.
The automotive industry experiences a lot of advantages of implementing AIoT concepts. All of them aim to optimize the driving experience and include such innovations as human-machine interfaces, electric cars, adaptive cruising, autonomous driving, etc. One of the most innovative examples of AIoT technology is driverless smart cars. These cars are a true breakthrough in artificial intelligence. Since driverless cars are connected to each other, they can communicate to optimize the route, saving time, fuel, and ensuring a better experience for a passenger.
Without any further ado, the future is in intelligent automation that two technologies, IoT and AI, can create when implementing together. So, it’s high time to turn to a software development company to create an AIoT solution that will help you keep up with your competitors.
Founder Dinis Guarda
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