What is AIoT? How should enterprises use AIoT?

The convergence of IoT and AI is known as AIoT, and this convergence can greatly benefit the business. AIoT provides a competitive advantage for IoT technology. In simple terms, AIoT refers to the integration of AI that enables IoT to perform intelligent tasks. Artificial IoT helps connect IoT devices with integrated sensors with AI capabilities.

Both AI and IoT are inseparable from one key: data. AIoT aims to create more efficient IoT operations, improve human-machine interaction, and enhance data management and analytics.

Artificial intelligence, or AI, is a field of computer science that involves developing intelligent systems that can mimic human intelligence. To put it simply, AI aims to enable computers to replicate human capabilities such as perception, reasoning, understanding, and more. As a result, highly disruptive AI capabilities are the foundation for intelligent systems in many industries to improve efficiency and develop new products and services.

The Internet of Things (IoT), on the other hand, is a system of interconnected objects or devices that can collect and transmit data in real time with the help of software or sensors embedded in it. IoT helps to enable a high degree of automation of various tasks across industries. Through sensors or user input, IoT devices can create vast amounts of data.





 

AIoT is transformative and mutually beneficial for both AI and IoT technologies. AI adds value to IoT through machine learning capabilities and improved decision-making processes, while IoT adds value to AI through connectivity, signaling, and data exchange. AIoT can improve businesses and their services by creating more value from IoT-generated data. AI enables IoT devices to use the collected big data to better analyze, learn, and make decisions without the need for humans.

Data is the foundation of the Internet of Everything, and AI is the "brain" of the IoTs, providing it with massive data. Artificial intelligence allows the development of the IoTs to have data and logic to follow. At the same time, IoT provides a reliable channel for deep learning to support artificial intelligence.

It collects large amounts of information through sensors and then filters and integrates useful information through edge computing applications across industries.

For example, we are more exposed to real-life applications such as autonomous driving, smart buildings, and smart offices, which greatly improve the efficiency and convenience of users' work and life. In summary, AIoT brings the following benefits.

Enhance the scalability of IoT

The scalability of IoT means adding more devices to the existing ecosystem. This addition can optimize current processes or introduce newer features. With AI integration, only the data needed by specific components can reach those components. This can make the process very specific.

For example, wearable medical devices only receive data on heart rate and vital signs, not GPS and navigation information. When data processing is performed, it is easier to deploy updated devices into the infrastructure.




 

Improve operational efficiency

Organizations and businesses can benefit from AIoT in the following ways. Smart IoT can detect patterns from the generated data and uncover new insights that were not seen before. In addition, it can help implement predictive and preventive analytics and introduce automation.

With AIoT, it is possible to predict the exact time of equipment failure and take accurate corrective action. This makes the operation durable. One example is vision-based automation of quality inspection, as well as the use of cameras for quality control in industrial automation. Various applications are designed to track and ensure compliance with guidelines and regulations. For example, the technology is used to monitor personal protective equipment such as masks, helmets, undershirts, or gloves.

Add a new product or service

Existing equipment, products, or services can be combined with the concept of AI to introduce advanced features or fully developed AI products. For example, business teams can integrate AI and IoT devices to generate insights and introduce advanced road and driver safety measures.

It is believed that as IoT device management gradually evolves into more AI concepts, it can provide more viable options and even predict decisions and outcomes.


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