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	<title>Gigaom Search &#187; Property &#187; Research</title>
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		<title>Decoding Disruption: A Decision Model Canvas for Planning</title>
		<link>http://research.gigaom.com/report/decoding-disruption-a-decision-model-canvas-for-planning/</link>
		<comments>http://research.gigaom.com/report/decoding-disruption-a-decision-model-canvas-for-planning/#comments</comments>
		<pubDate>Tue, 10 Mar 2015 23:25:36 +0000</pubDate>
		<dc:creator><![CDATA[Haydn Shaughnessy]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[disruption]]></category>
		<category><![CDATA[disruption theory]]></category>
		<category><![CDATA[finances]]></category>
		<category><![CDATA[financials]]></category>
		<category><![CDATA[future of work]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[real options]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=246876/</guid>
		<description><![CDATA[The Decision Model Canvas for disruption presents a visual representation of how to manage the planning and execution of disruptive strategies companies can use in a systematic way to reshape markets&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Has Samsung finally changed its tune on the smart home?</title>
		<link>http://research.gigaom.com/2015/03/has-samsung-finally-changed-its-tune-on-the-smart-home/</link>
		<comments>http://research.gigaom.com/2015/03/has-samsung-finally-changed-its-tune-on-the-smart-home/#comments</comments>
		<pubDate>Tue, 10 Mar 2015 13:00:17 +0000</pubDate>
		<dc:creator><![CDATA[Adam Lesser]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?p=246662</guid>
		<description><![CDATA[When Samsung first got interested in the smart home, and IoT more generally, it approached the endeavor from the usual consumer electronics direction—create a closed ecosystem it could control and monetize&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/2015/03/has-samsung-finally-changed-its-tune-on-the-smart-home/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>AWS EC2 C3/C4 Multicore Integer Performance Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-integer-performance-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-integer-performance-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:51:06 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246647</guid>
		<description><![CDATA[The C4 family, on average, had a 14 percent increase in integer performance over the C3 family. The c4.8xlarge VMs exhibited the largest performance improvement, with a 19 percent higher integer&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-integer-performance-comparison/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>AWS EC2 C3/C4 Multicore Floating Point Performance Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-floating-point-performance-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-floating-point-performance-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:50:22 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246651</guid>
		<description><![CDATA[The C4 family on average had 13 percent higher floating point calculation performance than the C3 family. The c4.8xlarge VMs improved 21 percent higher on average floating point performance over the&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-floating-point-performance-comparison/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>AWS EC2 C3/C4 Iperf Network Bandwidth Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-iperf-network-bandwidth-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-iperf-network-bandwidth-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:48:31 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246656</guid>
		<description><![CDATA[For the same size VMs, the C4 family showed nearly identical public and private network throughput as the C3 family, with an average increase of 2% for public network throughput and&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-iperf-network-bandwidth-comparison/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>AWS EC2 C3/C4 Multicore Memory Bandwidth Performance Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-memory-bandwidth-performance-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-memory-bandwidth-performance-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:48:05 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246654</guid>
		<description><![CDATA[Amazon EC2’s C4 VMs showed an approximate 6 GB/s increase in memory throughput compared to their C3 counterparts across all tested VM sizes.]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-memory-bandwidth-performance-comparison/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>AWS EC2 C3/C4 CloudSpecs Score Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-cloudspecs-score-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-cloudspecs-score-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:47:44 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AWS EC2]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246710</guid>
		<description><![CDATA[The CloudSpecs Scores showed that the C4 family’s processing price-performance value in general was not distinguished from the C3 family, despite its performance advantages. ]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-cloudspecs-score-comparison/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>AWS EC2 C3/C4 Multicore Total System Performance</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-total-system-performance/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-total-system-performance/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:47:22 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AWS EC2]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246706</guid>
		<description><![CDATA[Amazon’s C4 family displayed on average a 15.6% improvement in processing performance as a result of higher integer, floating point and memory throughput performance. ]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-total-system-performance/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Generational Performance Comparison: Amazon EC2’s C3 and C4 Families</title>
		<link>http://research.gigaom.com/report/generational-performance-comparison-amazon-ec2s-c3-and-c4-families/</link>
		<comments>http://research.gigaom.com/report/generational-performance-comparison-amazon-ec2s-c3-and-c4-families/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 14:00:55 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud infrastructure]]></category>
		<category><![CDATA[Cloud Spectator]]></category>
		<category><![CDATA[internal network]]></category>
		<category><![CDATA[memory]]></category>
		<category><![CDATA[vCPU]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=246666/</guid>
		<description><![CDATA[Amazon is making efforts to provide highly predictable performance outputs and to match its C4 family’s price-performance with that of its earlier generation C3 family.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/generational-performance-comparison-amazon-ec2s-c3-and-c4-families/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Sector Roadmap: Enterprise Mobility Management</title>
		<link>http://research.gigaom.com/report/sector-roadmap-enterprise-mobility-management-2/</link>
		<comments>http://research.gigaom.com/report/sector-roadmap-enterprise-mobility-management-2/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 13:02:00 +0000</pubDate>
		<dc:creator><![CDATA[Cormac Foster]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[app management]]></category>
		<category><![CDATA[EMM]]></category>
		<category><![CDATA[Enterprise Mobility]]></category>
		<category><![CDATA[Enterprise mobility management]]></category>
		<category><![CDATA[Good]]></category>
		<category><![CDATA[mam]]></category>
		<category><![CDATA[MCM]]></category>
		<category><![CDATA[mobile application management]]></category>
		<category><![CDATA[Mobile content management]]></category>
		<category><![CDATA[MobileIron]]></category>
		<category><![CDATA[SOTI]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:BBRY]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:BBRY]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:SAP]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:VMW]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=246289/</guid>
		<description><![CDATA[How enterprises find and provide enterprise mobility management services varies greatly from organization to organization, creating a number of distinct product strategies.]]></description>
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		<slash:comments>0</slash:comments>
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