Md Jahedul Islam

Currently AI and IoT are solving problems together which are not only very difficult to do but also very expensive and time consuming. The combination of these technologies leads to some surprising solutions. As such it can pre-empty many problems that may arise later. Through IoT real-time data from numerous connected devices can be collected and managed at once and used to make a decision immediately.

What IoT cannot do at the same time artificial intelligence can do. On the other hand what AI cannot do at the same time IoT can do. This combination of these two can do everything to say 'AIoT'. Which is not only outstanding but also revolutionary. The architecture of an AIoT system is a complex framework that integrates various components seamlessly to work efficiently. AIoT uses AI algorithms to process and analyze data collected from IoT devices with including sensors and devices. Which basically collects information from the environment. AIoT refers to the integration of AI technologies with IoT infrastructure to create intelligent connected systems. Finally it can analyze, process and make decisions based on data collected by IoT devices. Using machine learning algorithms AI systems can extract the necessary inputs from data, identify patterns, and make predictions or decisions autonomously.

AIoT systems use a variety of core technologies like machine learning, natural language processing, voice recognition, image analysis. It not only enables real-time actions but also helps optimize operations, improve efficiency and drive innovation. Artificial Intelligence (AI) and Internet of Things (IoT) have so far been considered as distinct areas of heterogeneous IT systems. But there was always an underlying bond between them. And as time goes on the difference between them is decreasing and they are showing themselves as each other's replicas. If artificial intelligence is thought of as the brain of a system then IoT should be thought of as the digital nervous system or the rest of the body of that system.

IoT is getting smarter as time progresses. Uses of IoT are practically everywhere. From home automation systems and manufacturing nano boards to self-driving cars and heavy industrial machinery there is no field where IoT does not have applications. By combining IoT's data collection capabilities with AI's analytical and decision-making capabilities AIoT enables more efficient, autonomous, and contextually relevant systems. This combination of technologies has the potential to revolutionize industries including smart cities, healthcare, manufacturing, agriculture, and transportation by providing real-time insights, automating processes, and enhancing overall performance.

Earlier IoT devices were mainly used for data collection. The idea was to create a mesh network of connected devices that would continuously provide critical information to administrators. Although now the concept of IoT is very broad and wide. But lately AIoT has added a new dimension in this regard. Artificial-intelligence has taken IoT to another level by analyzing data patterns and processing huge volumes of data to provide accurate information and decisions. As a result IoT devices not only collect data, but use that data to make decisions on their own and saving a lot of time and networking and processing work.

In practice these tasks are done through pattern recognition from heterogeneous data through smart sensors and integrated chips. For example in AIoT systems an automated machine collects and analyzes data such as temperature, pressure, humidity, air conditions, and more. AIoT system has the ability to reveal or predict results at least 20-25 times earlier than any other method. AIoT has opened a new horizon in creating any complete and mature eco-system. Which is very important for any organization.

IoT connects a large number of portable devices, home appliances, wearables and other electronics and industrial machines to each other through the Internet. These connected devices can monitor their environment and can be monitored, controlled and managed remotely. After collecting this huge amount of data through IoT. Then big data processing and artificial intelligence must be needed to work with that data. In this way they can work together to make the impossible possible. And so as time goes by these technologies are not independent and work as a complementary part of each other in a system.

When the revolutionary development of technology will happen. The combination of Artificial Intelligence and Internet of Things has become a bright and important paradigm in patient care and medical management today. AIoT technology in healthcare now plays an important role in improving diagnosis, speeding up treatment processes. The widespread use of AIoT in healthcare. However presents some issues with data security, privacy and legal compliance. In this regard when implementing AIoT systems in healthcare settings then important issues should be taken into consideration, including maintaining ethical standards, guaranteeing interoperability, and protecting sensitive medical data.

AIoT a combination of Artificial Intelligence and Internet of Things. This combination offers huge potential to transform many sectors from industry to healthcare. This is undoubtedly one of the biggest technology trends in IT today. AIoT primarily empowers us to build smarter, autonomous systems that can respond to changing situations in real time. Its potential to transform our society and economy is enormous.

As with any new technology this technology has its challenges. Privacy and concerns are major challenges in the field of AIoT technology. Indeed the collection and analysis of large amounts of data raises privacy issues. IoT devices can be vulnerable to cyber attacks if not adequately secured. Hence security, privacy and ethical issues need to be addressed. AIoT needs to be used in a way that aligns with the user's values and standards. As individuals, businesses and societies we must be ready to seize this opportunity of technology. Along with this, the challenges that come from this technology have to be faced.

The writer is a Network Technician (ICT Cell) Jagannath University, Dhaka.