<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Prognostic analytics Archives -</title>
	<atom:link href="https://www.iot-inc.com/tag/prognostic-analytics/feed/" rel="self" type="application/rss+xml" />
	<link></link>
	<description></description>
	<lastBuildDate>Sat, 09 Feb 2019 08:49:46 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.1.1</generator>
	<item>
		<title>Prognostic Analytics vs Predictive Analytics in IoT</title>
		<link>https://www.iot-inc.com/prognostic-analytics-vs-predictive-analytics-in-iot-podcast/</link>
		
		<dc:creator><![CDATA[Jane A]]></dc:creator>
		<pubDate>Fri, 23 Dec 2016 13:00:17 +0000</pubDate>
				<category><![CDATA[1. IOT COMPONENTS]]></category>
		<category><![CDATA[2. SERVICE PROVIDERS]]></category>
		<category><![CDATA[4. MARKET]]></category>
		<category><![CDATA[Analytics & AI]]></category>
		<category><![CDATA[COMMERCIAL IOT]]></category>
		<category><![CDATA[INDUSTRIAL IOT]]></category>
		<category><![CDATA[INFRASTRUCTURE IOT]]></category>
		<category><![CDATA[Manufacturing]]></category>
		<category><![CDATA[MEDIA]]></category>
		<category><![CDATA[Season 1 Podcasts]]></category>
		<category><![CDATA[Vendor]]></category>
		<category><![CDATA[Cassantec]]></category>
		<category><![CDATA[Prognostic analytics]]></category>
		<guid isPermaLink="false">https://www.iot-inc.com/the-iot-overlords-and-their-thirst-for-your-data-podcast-copy/</guid>

					<description><![CDATA[<p><img src="https://www.iot-inc.com/wp-content/uploads/2016/12/prognostic-analytics-vs-predictive-analytics-imageL.png"></p>
<h2>Episode 73</h2>
<p>It seems like predictive analytics gets all the attention these days but generally speaking, it requires either a Data Scientist or a machine learning algorithm operating on lots of event data, in order to predict the all-important dimension of time, at least to any degree of useful certainty.  Enter prognostic analytics.  In a closed system of uniform conditions, prognostic analytics can make better predictions about the “when”.<br />
<br />Listen to this podcast (or read the transcript) with Moritz von Plate about how the characteristics of this older-school stats make it very well suited for predictive maintenance in Industrial IoT </p>
<p>The post <a rel="nofollow" href="https://www.iot-inc.com/prognostic-analytics-vs-predictive-analytics-in-iot-podcast/">Prognostic Analytics vs Predictive Analytics in IoT</a> appeared first on <a rel="nofollow" href="https://www.iot-inc.com"></a>.</p>
]]></description>
		
		
		
			</item>
	</channel>
</rss>
