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	<title>Definition:Connected device - Revision history</title>
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	<updated>2026-04-29T18:06:34Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Connected_device&amp;diff=10625&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-11T16:49:47Z</updated>

		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📡 &amp;#039;&amp;#039;&amp;#039;Connected device&amp;#039;&amp;#039;&amp;#039; is any physical object embedded with sensors, software, and network connectivity that transmits real-time data — and in the insurance context, these devices are reshaping how [[Definition:Risk | risk]] is assessed, [[Definition:Premium | priced]], and managed across personal and commercial lines. Examples range from [[Definition:Telematics | telematics]] units in vehicles and smart home water-leak sensors to wearable health monitors and industrial IoT equipment on commercial premises. Insurers and [[Definition:Insurtech | insurtechs]] view connected devices as a direct pipeline to the behavioral and environmental data that traditional [[Definition:Underwriting | underwriting]] could never capture.&lt;br /&gt;
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⚙️ When a [[Definition:Policyholder | policyholder]] installs or uses a connected device, the data it generates — driving patterns, home temperature fluctuations, heart-rate trends, machinery vibrations — flows into an insurer&amp;#039;s analytics platform. [[Definition:Actuarial analysis | Actuarial]] and data-science teams use this information to refine [[Definition:Risk classification | risk classification]], adjust [[Definition:Rating | rating]] models, and even trigger proactive [[Definition:Loss prevention | loss prevention]] alerts before a [[Definition:Claims | claim]] occurs. In [[Definition:Usage-based insurance (UBI) | usage-based insurance]] programs, for instance, a connected telematics device directly determines the premium a driver pays each month. On the commercial side, IoT sensors monitoring boiler pressure or refrigeration temperatures can feed data into [[Definition:Parametric insurance | parametric]] or threshold-based policies that pay out automatically when predefined conditions are breached.&lt;br /&gt;
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🔑 The proliferation of connected devices is fundamentally shifting the insurance value proposition from indemnification after a loss to active risk mitigation. Carriers that integrate device data into their ecosystems can achieve better [[Definition:Loss ratio (L/R) | loss ratios]], improve customer engagement, and differentiate in crowded markets. However, the trend also raises significant questions around [[Definition:Data privacy | data privacy]], [[Definition:Regulatory compliance | regulatory compliance]], and the security of the devices themselves — creating new exposures that [[Definition:Cyber insurance | cyber insurers]] must account for. As the installed base of connected devices continues to grow, the insurers best positioned to ingest, interpret, and act on this data will hold a distinct competitive advantage.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Telematics]]&lt;br /&gt;
* [[Definition:Usage-based insurance (UBI)]]&lt;br /&gt;
* [[Definition:Internet of Things (IoT)]]&lt;br /&gt;
* [[Definition:Insurtech]]&lt;br /&gt;
* [[Definition:Parametric insurance]]&lt;br /&gt;
* [[Definition:Cyber insurance]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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