This article discusses the concepts of IoT (Internet of Things) and AI (Artificial Intelligence) and the power and role of AI in IoT. IoT refers to a network of physical devices connected to the Internet, such as household appliances and industrial machinery, while AI refers to the simulation of human intelligence in machines that are designed to perform tasks that normally require human intelligence. The article explains the increasing need for AI in IoT due to the vast amount of data generated by IoT devices, and the difficulty in processing and analyzing the data. The article notes that for IoT to be useful in a smart connected environment, it must address four key areas: monitoring, control, optimization, and autonomy. The integration of AI with IoT data is crucial for improving speed and accuracy, as traditional methods are not equipped to handle such large amounts of data.
What is IoT(Internet of Things)?
IoT stands for Internet of Things, which refers to a network of physical devices, including electronics, sensors, and software, that are connected to the Internet. These devices can range from household appliances like refrigerators and televisions to industrial machinery and even animals and humans, if they have sensors implanted in them. The devices in the IoT network are uniquely identifiable and can communicate with each other through suitable information and communication technology. The goal of IoT is to create a connected digital world where everything is smarter, more efficient, and more connected.
What is AI(Artificial Intelligence)?
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are designed to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems are trained on large amounts of data and use algorithms to make predictions or decisions. There are several approaches to AI, including machine learning, deep learning, and reinforcement learning. The goal of AI is to create systems that can perform tasks autonomously, or with minimal human supervision, and improve their performance over time through experience.
Why AI in IoT?
As we progress towards a highly interconnected digital world, everything is becoming smart with the use of small, lightweight sensors with decentralized intelligence. These networked devices collect a vast amount of data, presenting real-time challenges in processing and analyzing the information to make informed decisions. For example, wearable computing devices with sensors implanted in the body and connected to the internet can instantly send health-related data to medical professionals, requiring real-time processing. Dealing with such large amounts of data can be difficult, but by combining IoT with AI, it may be possible to effectively address these challenges and uncover valuable insights for intelligent decision making.
As IoT captures the attention of many, there is an increasing need to understand the role of AI in gaining insights into the market trends and competitor's preparedness to respond to the changing scenario. Harvard Business Review has noted that for IoT to be truly useful in a smart connected environment, it must address four key areas: monitoring, control, optimization, and autonomy. Effective monitoring of sensor nodes is necessary for smooth operation, optimization improves performance through feedback from monitoring and control, and autonomy enables IoT to operate independently with self-diagnosis and repair capabilities.
The rise of IoT has brought with it a vast amount of data, including city traffic information, which can be used to predict accidents and crime, and the digitization of household appliances to create smart homes. However, the sheer volume of data collected by IoT presents a significant challenge in ensuring that it meets expectations. Traditional methods are not equipped to handle such large amounts of data quickly and accurately. To address this, the integration of AI with IoT data is crucial for improving speed and accuracy. The failure of connected devices to work together in home applications, and the potential for traffic and health problems due to malfunctioning, highlight the importance of effectively utilizing AI and IoT.
References:
[1] A Guide to Understanding the Internet of Things (IoT) - From Concept to Reality
[2] Switch Monitoring with Arduino IoT platform
