Engr. Sayed Mazhar Ali
In everyday life, the devices we use are getting increasing smarter, the ways to utilize them are also increasing. Internet of Things IoT provides a great platform for collecting huge amount of data due to interaction between people and other physical objects. Artificial Intelligence AI can perform real-time analysis of the data that collected by IoT devices, beneficial devices to perform immediate action based on the input data. Artificial Intelligence of Things AIoT is a latest emerging technology that combines IoT and AI technologies to enable decision making and analytics at IoT devices. IoT provides network of physical objects that are equipped with sensors, software, and other technology to exchange data with other devices and systems over the internet. AI performs data analytics and automated decisions making based on collected data. AIoT allows analytics capabilities for IoT devices, and as the number of IoT devices and data that they process increases, so does AIoT’s potential market effect. According to Statista, the number of IoT devices is predicted to expand to 75 billion by 2025, while BusinessWire predicts that they would reach 41.6 billion and create 79.4 zettabytes of data by 2025. As the number of IoT devices and the data they create grows, the key problem in IoT will be how to use this data meaningfully. According to a Gartner report, 87% of firms have low business intelligence and analytics maturity. As a result, most firms underutilize their data and fail to extract value from it. Integrating AI-based solutions into IoT initiatives can help firms improve their data management and analytics skills. AIoT now encompasses four segments: wearables, smart homes, smart cities, and smart industries. Wearable gadgets constantly monitor and track users’ preferences and behaviors. The app contains fitness and health trackers, heart rate monitors, wireless headphones, and AR/VR gadgets. Smart home gadgets such as thermostats, coffee makers, lighting, and smart TVs learn a user’s habits in order to provide automated home “support” for daily activities. Applications include energy efficiency, security, entertainment, access control, and personal comfort. Smart cities, which incorporate all levels of municipal services, are becoming safer and more comfortable places to live. Open data may be used to improve urban planning, manage energy use, and boost public safety through smart traffic surveillanceSmart industrial devices—the Industrial Internet of Things IIoT optimizes operations, logistics, and supply chains by leveraging real-time data analytics and machine-to-machine sensors. Data collected by these devices assists industries in anticipating issues, therefore minimizing costly blunders and occupational accidents. Although AIoT technology is still in its infancy, these categories have a direct influence on our everyday lives. AIoT innovation is showing no signs of stopping. AIoT will put our gadgets to the test in terms of data processing capacity, and future developments will push the limits of processing and learning. AIoT fusion is growing more popular, as it continues to push the frontiers of data processing and intelligent learning for many years to come.
