What Is The Artificial Intelligence Of Things? When AI Meets IoT
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The document explains the concept of the Artificial Intelligence of Things (AIoT), which combines the Internet of Things (IoT) with artificial intelligence to create smart devices that can analyze data and make autonomous decisions. It provides practical examples of AIoT applications in areas such as smart retail, urban traffic monitoring, smart office buildings, fleet management, and autonomous delivery robots. The integration of AI and IoT facilitates enhanced efficiency, better decision-making, and advanced data analytics in various sectors.
What Is The Artificial Intelligence Of Things? When AI Meets IoT
- 1. What Is The Artificial Intelligence Of Things? When AI Meets IoT
- 2. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Title Text IntroductionIntroduction Individually, the Internet of Things (IoT) and Artificial Intelligence (AI) are powerful technologies. When you combine AI and IoT, you get AIoT—the artificial intelligence of things. You can think of internet of things devices as the digital nervous system while artificial intelligence is the brain of a system What Is The Artificial Intelligence Of Things? When AI Meets IoT
- 3. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved What is AIoT? To fully understand AIoT, you must start with the internet of things. When “things” such as wearable devices, refrigerators, digital assistants, sensors and other equipment are connected to the internet, can be recognized by other devices and collect and process data, you have the internet of things. Artificial intelligence is when a system can complete a set of tasks or learn from data in a way that seems intelligent. Therefore, when artificial intelligence is added to the internet of things it means that those devices can analyze data and make decisions and act on that data without involvement by humans. These are "smart" devices, and they help drive efficiency and effectiveness. The intelligence of AIoT enables data analytics that is then used to optimize a system and generate higher performance and business insights and create data that helps to make better decisions and that the system can learn from.
- 4. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Practical Examples of AIoT The combo of internet of things and smart systems makes AIoT a powerful and important tool for many applications. Here are a few: Smart Retail In a smart retail environment, a camera system equipped with computer vision capabilities can use facial recognition to identify customers when they walk through the door. The system gathers intel about customers, including their gender, product preferences, traffic flow and more, analyzes the data to accurately predict consumer behavior and then uses that information to make decisions about store operations from marketing to product placement and other decisions. For example, if the system detects that the majority of customers walking into the store are Millennials, it can push out product advertisements or in-store specials that appeal to that demographic, therefore driving up sales. Smart cameras could identify shoppers and allow them to skip the checkout like what happens in the Amazon Go store.
- 5. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Practical Examples of AIoT Drone Traffic Monitoring In a smart city, there are several practical uses of AIoT, including traffic monitoring by drones. If traffic can be monitored in real-time and adjustments to the traffic flow can be made, congestion can be reduced. When drones are deployed to monitor a large area, they can transmit traffic data, and then AI can analyze the data and make decisions about how to best alleviate traffic congestion with adjustments to speed limits and timing of traffic lights without human involvement. The ET City Brain, a product of Alibaba Cloud, optimizes the use of urban resources by using AIoT. This system can detect accidents, illegal parking, and can change traffic lights to help ambulances get to patients who need assistance faster.
- 6. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Practical Examples of AIoT Office Buildings Another area where artificial intelligence and the internet of things intersect is in smart office buildings. Some companies choose to install a network of smart environmental sensors in their office building. These sensors can detect what personnel are present and adjust temperatures and lighting accordingly to improve energy efficiency. In another use case, a smart building can control building access through facial recognition technology. The combination of connected cameras and artificial intelligence that can compare images taken in real-time against a database to determine who should be granted access to a building is AIoT at work. In a similar way, employees wouldn't need to clock in, or attendance for mandatory meetings wouldn't have to be completed, since the AIoT system takes care of it.
- 7. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Practical Examples of AIoT Fleet Management and Autonomous Vehicles AIoT is used to in fleet management today to help monitor a fleet's vehicles, reduce fuel costs, track vehicle maintenance, and to identify unsafe driver behavior. Through IoT devices such as GPS and other sensors and an artificial intelligence system, companies are able to manage their fleet better thanks to AIoT. Another way AIoT is used today is with autonomous vehicles such as Tesla's autopilot systems that use radars, sonars, GPS, and cameras to gather data about driving conditions and then an AI system to make decisions about the data the internet of things devices are gathering.
- 8. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Practical Examples of AIoT Autonomous Delivery Robots Similar to how AIoT is used with autonomous vehicles, autonomous delivery robots are another example of AIoT in action. Robots have sensors that gather information about the environment the robot is traversing and then make moment-to-moment decisions about how to respond through its onboard AI platform.
- 9. © 2017 Bernard Marr , Bernard Marr & Co. All rights reserved © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website © 2017 Bernard Marr , Bernard Marr & Co. All rights reserved © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website
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