The Artificial Intelligence of Things is the unification of the Internet of Things (IoT) and Artificial Intelligence (AI) technologies. AIoT promises fluid human and machine interactions, connected smart objects, and cutting-edge precision in all data analytics operations.
Data from connected objects can be transformed into valuable information that can be used to make better decisions using artificial intelligence. This, in turn, results in creating a new set of consumer technologies based on object data generated by connected objects.
When AI and IoT combine, both technologies are enhanced: AI is applied to objects, and IoT can communicate and exchange data via connectivity, signaling, and locating.
IoT networks continue to grow in major economic sectors, resulting in enormous amounts of unstructured data to serve public needs. The matrimony of AI and IoT will provide data analytics solutions that amplify the value of data collected from connected objects.
With AIoT, the AI is integrated with IoT-centric components, such as applications, games, and edge computing. Devices, software, and platforms will be able to interact with each other by utilizing APIs. Data valuation will be a key function of these devices.
Despite their newness, IoT and AI have already opened up many new opportunities for businesses, governments, and the general public to improve vertical markets. Trends such as these are likely to continue.
Many consumer-oriented applications are currently targeting cognitive computing, aiming to integrate it into consumer devices. Smart devices, such as home automation, can learn from human interactions and responses, contributing to the AI of connected objects.
Through machine learning and IoT networks and systems, fully self-learning machines will be created for data analytics. Large companies and industrialists will apply this where IoT data will be used to automate tasks in a connected workplace.
An example of AIoT in action is autonomous delivery robots, which work in the same way as autonomous vehicles. Onboard artificial intelligence platforms allow robots to make sense of their surroundings and decide how to react by gathering information from sensors.
AIoT’s Main Segments
AIoT will have an increasingly significant impact in four major areas:
Portable devices – Today, many people use smartwatches that monitor and track the user’s preferences, habits, and location. In addition to healthcare technology applications, this has been beneficial to sports, workers’ safety, and more. Gartner expects the wearables market to generate $87 billion by 2023.
Smart buildings – It’s no longer science fiction to live in a house that meets all your needs. By learning homeowner habits, smart homes can use appliances, electronics, and lighting to automate a personalized, safe, comfortable, and efficient home.
Smart city – In response to the increasing number of people moving into urban areas, cities need better ways to become safer and more convenient. As a result, the smart city movement continues to gain traction, investing in transportation, energy, and security.
Traffic control is already demonstrating the practical applications of artificial intelligence and the internet of things. It enables traffic management decisions to be made in real-time.
Smart industry – Additionally, manufacturers, assembly lines, and mining companies utilize AIoT to increase efficiency and reduce human errors. For example, using smart devices to analyze real-time data and monitor supply chains helps prevent costly errors in the industry. Gartner estimates that by 2022, artificial intelligence will comprise more than 80% of enterprise IoT projects.
The fusion of AI and IoT holds enormous potential in transforming lives and businesses. AIoT opens the doors for a super connected and self-driven world, resulting in increased value and innovation.
After 25 years in engineering, Johannes Beekman founded IoT Marketing with the goal of helping companies bring wide-scale awareness to their inventions. He received a Master of Science in Physics degree from the Eindhoven University of Technology, and a Master in Business Administration degree from the Wharton School of the University of Pennsylvania, and started his career in the semiconductor field. Johannes pioneered two successful wafer fab startups for Philips Electronics; one in Europe and the second one in Asia. And served as Senior Program Manager for Sematech, where he provided solutions for semiconductor industry-wide product improvement and cost reduction challenges. Johannes has also published articles on several trade-focused websites.
