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	<title>Comments on: Back to School</title>
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	<link>http://fortashford.com/back-to-school</link>
	<description>Investing in Insurance &#38; Risk-Related Businesses</description>
	<pubDate>Sun, 05 Sep 2010 07:22:38 +0000</pubDate>
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		<title>By: Wilbur Parker</title>
		<link>http://fortashford.com/back-to-school/comment-page-1#comment-1239</link>
		<dc:creator>Wilbur Parker</dc:creator>
		<pubDate>Mon, 28 Dec 2009 22:16:30 +0000</pubDate>
		<guid isPermaLink="false">http://fortashford.com/?p=478#comment-1239</guid>
		<description>&lt;p&gt;Very nice, I sure will be coming back more often. I bookmarked your site also, thank you. This is my loved sites : &lt;a href="http://www.mbi.com.tr/eng/" rel="nofollow"&gt;erp&lt;/a&gt;&lt;/p&gt;
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		<content:encoded><![CDATA[<p>Very nice, I sure will be coming back more often. I bookmarked your site also, thank you. This is my loved sites : <a href="http://www.mbi.com.tr/eng/" rel="nofollow">erp</a></p>]]></content:encoded>
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		<title>By: Robert Kavanaugh</title>
		<link>http://fortashford.com/back-to-school/comment-page-1#comment-58</link>
		<dc:creator>Robert Kavanaugh</dc:creator>
		<pubDate>Fri, 22 May 2009 18:04:52 +0000</pubDate>
		<guid isPermaLink="false">http://fortashford.com/?p=478#comment-58</guid>
		<description>&lt;p&gt;I predict that great leaps will be achieved soon after we effectively and practically replace the keyboard with a usable voice recognition interface.  Computer Science would benefit from Darwinism and Biology.  Rapid changes can be expensive to the resources in an (eco-)system.  Typing is not talking, it too darn slow moving great leaps forward will require favoring the 'human' approach to communicating over the machines: Any tool, be it XML, enterprise resource planning or simply computing resources must become as transparent to the human manager as the timing of an engine's firing sequence is to the human driver. P.S. Happy Birthday&lt;/p&gt;
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		<content:encoded><![CDATA[<p>I predict that great leaps will be achieved soon after we effectively and practically replace the keyboard with a usable voice recognition interface.  Computer Science would benefit from Darwinism and Biology.  Rapid changes can be expensive to the resources in an (eco-)system.  Typing is not talking, it too darn slow moving great leaps forward will require favoring the &#8216;human&#8217; approach to communicating over the machines: Any tool, be it XML, enterprise resource planning or simply computing resources must become as transparent to the human manager as the timing of an engine&#8217;s firing sequence is to the human driver. P.S. Happy Birthday</p>]]></content:encoded>
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		<title>By: Robert Kavanaugh</title>
		<link>http://fortashford.com/back-to-school/comment-page-1#comment-57</link>
		<dc:creator>Robert Kavanaugh</dc:creator>
		<pubDate>Fri, 22 May 2009 17:47:03 +0000</pubDate>
		<guid isPermaLink="false">http://fortashford.com/?p=478#comment-57</guid>
		<description>&lt;p&gt;By coincidence I've been examining, learning and digesting the world as I now see it evolving with particular emphasis on artificial intelligence, more specifically:&lt;/p&gt;

&lt;p&gt;(1) object oriented programming&lt;/p&gt;

&lt;p&gt;(2) relational database designs and tools including XML&lt;/p&gt;

&lt;p&gt;(3) heretofore unheard of computing resources including Amazon's unlimited EC2 scalable computing resources and 'cloud' based storage resources Amazon S3, as well as their other scalable resources including fulfillment and the 'Electronic Turk' (albeit poorly named) an example of a completely scalable intellectual workforce.&lt;/p&gt;

&lt;p&gt;In your blog entry you address the System of Profound Knowledge and Deming but recall your frustration with the amount of time required to implement a 'systems' approach. It's true that Deming approach is inspirational. The reality is the human approach to problem solving lacks the precision and flawless memory of a CPU, RAM and disk space; and humans usually lack perfect information for want of analysis. Thus, "seat of one's pants" management is the defacto reality of all but a very few enterprises.&lt;/p&gt;

&lt;p&gt;In short (as if that's possible now), to date, the perception (and thus reality is) that humans do not have cost-effective tools to apply Deming's approach on a day to day basis.  It's like asking a subsistence rice farmer to develop a new biotec drug candidate based upon methods developed by Genetech. While it's possible, there's an expensive learning curve.  But, what I've come to realize recently is, the aforementioned resources and tools are the building blocks (largely open source and thus low cost) of an artificial intelligence infrastructure which will soon dramatically reduce both the learning curve and the costs associated with what you appear to be proposing here.&lt;/p&gt;
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		<content:encoded><![CDATA[<p>By coincidence I&#8217;ve been examining, learning and digesting the world as I now see it evolving with particular emphasis on artificial intelligence, more specifically:</p>

<p>(1) object oriented programming</p>

<p>(2) relational database designs and tools including XML</p>

<p>(3) heretofore unheard of computing resources including Amazon&#8217;s unlimited EC2 scalable computing resources and &#8216;cloud&#8217; based storage resources Amazon S3, as well as their other scalable resources including fulfillment and the &#8216;Electronic Turk&#8217; (albeit poorly named) an example of a completely scalable intellectual workforce.</p>

<p>In your blog entry you address the System of Profound Knowledge and Deming but recall your frustration with the amount of time required to implement a &#8217;systems&#8217; approach. It&#8217;s true that Deming approach is inspirational. The reality is the human approach to problem solving lacks the precision and flawless memory of a CPU, RAM and disk space; and humans usually lack perfect information for want of analysis. Thus, &#8220;seat of one&#8217;s pants&#8221; management is the defacto reality of all but a very few enterprises.</p>

<p>In short (as if that&#8217;s possible now), to date, the perception (and thus reality is) that humans do not have cost-effective tools to apply Deming&#8217;s approach on a day to day basis.  It&#8217;s like asking a subsistence rice farmer to develop a new biotec drug candidate based upon methods developed by Genetech. While it&#8217;s possible, there&#8217;s an expensive learning curve.  But, what I&#8217;ve come to realize recently is, the aforementioned resources and tools are the building blocks (largely open source and thus low cost) of an artificial intelligence infrastructure which will soon dramatically reduce both the learning curve and the costs associated with what you appear to be proposing here.</p>]]></content:encoded>
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