The IT Law Wiki
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{{Quote|the combination of [[artificial intelligence]] ([[AI]]) [[technologies]] with the [[Internet of Things]] ([[IoT]]) [[infrastructure]] to achieve more efficient [[IoT]] operations, improve [[human-machine interaction|human-machine interaction]]s and enhance [[data management]] and [[data analytics|analytics]].}}
 
{{Quote|the combination of [[artificial intelligence]] ([[AI]]) [[technologies]] with the [[Internet of Things]] ([[IoT]]) [[infrastructure]] to achieve more efficient [[IoT]] operations, improve [[human-machine interaction|human-machine interaction]]s and enhance [[data management]] and [[data analytics|analytics]].}}
   
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== Overview ==
{{Wikipedia|Artificial intelligence of things}}
 
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There are four major segments in which AIoT is making an impact: [[wearables]], [[smart home]], [[smart city]], and [[smart industry]].
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'''1. Wearables'''
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Wearable devices such as smartwatches continuously monitor and track user preferences and habits. Not only has this led to impactful applications in the healthtech sector, it also works well for sports and fitness. According to leading tech research firm Gartner, the global wearable device market is estimated to see more than $87 billion in revenue by 2023.
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'''2. Smart Home'''
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Houses that respond to your every request are no longer restricted to science fiction. Smart homes are able to leverage appliances, lighting, electronic devices and more, learning a homeowner’s habits and developing automated “support.”
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This seamless access also brings about additional perks of improved energy efficiency. As a result, the smart home market could see a compound annual growth rate (CAGR) of 25% between 2020-2025, to reach $246 billion.
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'''3. Smart City'''
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As more and more people flock from rural to urban areas, cities are evolving into safer, more convenient places to live. Smart city innovations are keeping pace, with investments going towards improving public safety, transport, and energy efficiency.
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The practical applications of AI in traffic control are already becoming clear. In New Delhi, home to some of the world’s most traffic-congested roads, an Intelligent Transport Management System (ITMS) is in use to make ‘real time dynamic decisions on traffic flows’.
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'''4. Smart Industry'''
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Last but not least, industries from manufacturing to mining rely on digital transformation to become more efficient and reduce human error.
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== Source ==
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* Iman Ghosh, AIoT: When Artificial Intelligence Meets the Internet of Things, Visual Capitalist (August 12, 2020) ([https://www.visualcapitalist.com/aiot-when-ai-meets-iot-technology/ full-text]).
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{{Wikipedia|Artificial Intelligence of Things}}
   
 
[[Category:Definition]]
 
[[Category:Definition]]

Revision as of 02:19, 19 July 2021

Definition

The artificial intelligence of things (AIoT) is

the combination of artificial intelligence (AI) technologies with the Internet of Things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.

Overview

There are four major segments in which AIoT is making an impact: wearables, smart home, smart city, and smart industry.

1. Wearables

Wearable devices such as smartwatches continuously monitor and track user preferences and habits. Not only has this led to impactful applications in the healthtech sector, it also works well for sports and fitness. According to leading tech research firm Gartner, the global wearable device market is estimated to see more than $87 billion in revenue by 2023.

2. Smart Home

Houses that respond to your every request are no longer restricted to science fiction. Smart homes are able to leverage appliances, lighting, electronic devices and more, learning a homeowner’s habits and developing automated “support.”

This seamless access also brings about additional perks of improved energy efficiency. As a result, the smart home market could see a compound annual growth rate (CAGR) of 25% between 2020-2025, to reach $246 billion.

3. Smart City

As more and more people flock from rural to urban areas, cities are evolving into safer, more convenient places to live. Smart city innovations are keeping pace, with investments going towards improving public safety, transport, and energy efficiency.

The practical applications of AI in traffic control are already becoming clear. In New Delhi, home to some of the world’s most traffic-congested roads, an Intelligent Transport Management System (ITMS) is in use to make ‘real time dynamic decisions on traffic flows’.

4. Smart Industry

Last but not least, industries from manufacturing to mining rely on digital transformation to become more efficient and reduce human error.

Source

  • Iman Ghosh, AIoT: When Artificial Intelligence Meets the Internet of Things, Visual Capitalist (August 12, 2020) (full-text).
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