Artificial Intelligence of Things makes IoT work as a digital nervous system while AI is the brain of it
Artificial Intelligence (AI) and Internet of Things (IoT) are two powerful technologies that are changing the way we live our lives. The digital world will get jeopardized without the duo. With so many advantages and features, AI and IoT are stepping into the next wave of development. When AI and IoT meet, Artificial Intelligence of Things (AIoT) emerges. It unravels a future where the internet of things works as a digital nervous system while artificial intelligence is the brain of it.
What is Artificial Intelligence of Things (AIoT)?
Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence technologies with the Internet of Things (IoT) infrastructure to achieve more efficient operations. On the good side, the new technology improves human-machine interactions and enhances data management and analytics. IoT consists of interconnected things with built-in sensors and has the potential to generate or collect a vast amount of data. Artificial intelligence is when a system can complete a set of tasks or learn from data in a way that seems intelligent. While combining IoT with artificial intelligence, the data can be analyzed and utilized for problem-solving and decision-making.
AIoT mutually alleviates both artificial intelligence and the internet of things through the advent of new technologies such as machine learning, deep learning, genetic algorithms, etc. They add value to AI applications through connectivity, signaling, and data exchange. The combination of both technologies is unraveling a future where all the connected devices will support data analytics solutions and create value to IoT-generated data. However, there are a number of challenges that AIoT is encountering in the technology radar. For example, latency is an increasing issue in transmitting data and achieving real-time responses with high-performance AI for analyzing huge data. In a digital hit where people are scared of their data security, AIoT is making things more hectic. But fortunately, these issues can be addressed by embracing machine learning and 5G. As AIoT comes with a handful of applications, let us have a look at some of those in the article.
Smart retail services are becoming a hotspot to enhance and promote product range. Cameras with computer vision technology are installed in a retail space. They scan the customer’s face when they walk in and use facial recognition to go through data like gender, product preference, traffic flow, and more. By analyzing the data, the retail store will get a view of what the consumer will shop for and what kind of marketing promotion will work for them.
Smart wearables are a trending gadget of this decade. Starting from young people to old ones, everybody is investing in wearable devices for different purposes. Wearable devices continuously monitor and track user preferences and habits. Some of the applications of smart wearables include fitness and health tracker, heart rate monitoring, wireless headphones, and augmented and virtual reality devices.
AIoT features are anticipated to bring self-driving cars to the road earlier than expected. As more and more companies throw billions of dollars in making autonomous cars, the research and improvement in the field are intensifying every day. Henceforth, self-driving cars are emerging as a result of all the connected IoT devices. For example, Tesla CEO Elon Musk, in an interview has said that the whole Tesla fleet operates as a network. When one car learns something, they all learn it. Fortunately, this is something beyond what other autonomous car makers are doing.
Smart traffic management
With the increasing population, the number of vehicle purchases is drastically spiking. More vehicles on the road mean more traffic congestions and accidents. But technology has an exit door from chaos. ET City Brain, a product of Alibaba Cloud, optimizes the use of urban resources by using AIoT. This feature can detect accidents, illegal parking, and can even change traffic lights to clear the way for ambulances. If the smart traffic application is streamlined in smart cities, major traffic incidents can be prevented.