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	<title>Gigaom Search &#187; graph analysis</title>
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		<title>Machine learning startup GraphLab raises $18.5M, becomes Dato</title>
		<link>https://gigaom.com/2015/01/08/machine-learning-startup-graphlab-raises-18-5m-becomes-dato/</link>
		<comments>https://gigaom.com/2015/01/08/machine-learning-startup-graphlab-raises-18-5m-becomes-dato/#comments</comments>
		<pubDate>Thu, 08 Jan 2015 15:32:22 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Dato]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[GraphLab]]></category>
		<category><![CDATA[machine learning]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=905126</guid>
		<description><![CDATA[GraphLab, a Seattle-based startup trying to make machine learning more accessible, has raised an $18.5 million series B round of venture capital and has changed its name to Dato. The company&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/08/machine-learning-startup-graphlab-raises-18-5m-becomes-dato/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Lumiata raises another $6M to make hospitals smarter with machine learning</title>
		<link>https://gigaom.com/2014/09/11/lumiata-raises-another-6m-to-make-hospitals-smarter-with-machine-learning/</link>
		<comments>https://gigaom.com/2014/09/11/lumiata-raises-another-6m-to-make-hospitals-smarter-with-machine-learning/#comments</comments>
		<pubDate>Thu, 11 Sep 2014 14:25:28 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[health care]]></category>
		<category><![CDATA[healthcare]]></category>
		<category><![CDATA[Lumiata]]></category>
		<category><![CDATA[machine learning]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=872333</guid>
		<description><![CDATA[A machine-learning-based health care startup called Lumiata has added $6 million to its series A round, first announced in January, bringing its total raise so far to $10 million. The company&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/09/11/lumiata-raises-another-6m-to-make-hospitals-smarter-with-machine-learning/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>GraphLab thinks its new software can democratize machine learning</title>
		<link>https://gigaom.com/2014/07/15/graphlab-wants-to/</link>
		<comments>https://gigaom.com/2014/07/15/graphlab-wants-to/#comments</comments>
		<pubDate>Tue, 15 Jul 2014 13:00:17 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[GraphLab]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=857556</guid>
		<description><![CDATA[A Seattle-based machine learning startup called GraphLab is releasing the first official version of its software, which the company hopes can democratize an historically difficult space. Called Create, the software is&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/15/graphlab-wants-to/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
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		<title>Syapse raises $10M for its medical knowledge graph tech</title>
		<link>https://gigaom.com/2014/07/10/syapse-raises-10m-for-its-medical-knowledge-graph-tech/</link>
		<comments>https://gigaom.com/2014/07/10/syapse-raises-10m-for-its-medical-knowledge-graph-tech/#comments</comments>
		<pubDate>Thu, 10 Jul 2014 17:28:22 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[genomic data]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[medical data]]></category>
		<category><![CDATA[Syapse]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=856434</guid>
		<description><![CDATA[Syapse, a startup trying to build something akin to Google's Knowledge Graph for medical data, has raised a $10 million series B round of venture capital from Safeguard Scientific and existing&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/10/syapse-raises-10m-for-its-medical-knowledge-graph-tech/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>How Lumiata wants to scale medicine with machine learning and APIs</title>
		<link>https://gigaom.com/2014/01/08/lumiata-does-graph-analysis-for-medical-data-raises-4m-from-khosla/</link>
		<comments>https://gigaom.com/2014/01/08/lumiata-does-graph-analysis-for-medical-data-raises-4m-from-khosla/#comments</comments>
		<pubDate>Wed, 08 Jan 2014 14:00:15 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[health data]]></category>
		<category><![CDATA[Lumiata]]></category>
		<category><![CDATA[medical data]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=790142</guid>
		<description><![CDATA[A startup called Lumiata is taking webscale graph analysis like Google and Facebook have perfected and turning it toward personalized health care. As we generate more digital data about research and&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/08/lumiata-does-graph-analysis-for-medical-data-raises-4m-from-khosla/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<item>
		<title>This woman and her machine learning tech could make Box a whole lot smarter</title>
		<link>https://gigaom.com/2013/12/06/this-woman-and-her-machine-learning-tech-could-make-box-a-whole-lot-smarter/</link>
		<comments>https://gigaom.com/2013/12/06/this-woman-and-her-machine-learning-tech-could-make-box-a-whole-lot-smarter/#comments</comments>
		<pubDate>Fri, 06 Dec 2013 17:08:22 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Document editing]]></category>
		<category><![CDATA[documents]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[machine learning]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=721001</guid>
		<description><![CDATA[If collaboration favorite Box is going to grow into its ambitions, it has to do more than just raise lots of venture capital. It also must build a more intelligent product,&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/12/06/this-woman-and-her-machine-learning-tech-could-make-box-a-whole-lot-smarter/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Let&#8217;s build a semantic web by creating a Wikipedia for relevancy</title>
		<link>https://gigaom.com/2013/11/24/lets-build-a-semantic-web-by-creating-a-wikipedia-for-relevancy/</link>
		<comments>https://gigaom.com/2013/11/24/lets-build-a-semantic-web-by-creating-a-wikipedia-for-relevancy/#comments</comments>
		<pubDate>Sun, 24 Nov 2013 21:30:32 +0000</pubDate>
		<dc:creator><![CDATA[Guest Column]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[NLP]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=718796</guid>
		<description><![CDATA[The relevancy-defining, edge-weighting algorithms of Google’s Knowledge Graph, Facebook’s Open Graph and Gravity’s Interest Ontology are closely guarded company secrets. Imagine if that data was available to everyone -- it would&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/11/24/lets-build-a-semantic-web-by-creating-a-wikipedia-for-relevancy/feed/</wfw:commentRss>
		<slash:comments>11</slash:comments>
		</item>
		<item>
		<title>Microsoft to open source a big data framework called REEF</title>
		<link>https://gigaom.com/2013/08/12/microsoft-to-open-source-a-big-data-framework-called-reef/</link>
		<comments>https://gigaom.com/2013/08/12/microsoft-to-open-source-a-big-data-framework-called-reef/#comments</comments>
		<pubDate>Mon, 12 Aug 2013 18:56:43 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[YARN]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=678831</guid>
		<description><![CDATA[Microsoft has developed a big data technology that sits on top of Hadoop's new YARN resource manager. Called REEF, it's designed to let users build jobs that can maintain state even&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/08/12/microsoft-to-open-source-a-big-data-framework-called-reef/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Here&#8217;s how the NSA analyzes all that call data</title>
		<link>https://gigaom.com/2013/06/06/heres-how-the-nsa-analyzes-all-that-call-data/</link>
		<comments>https://gigaom.com/2013/06/06/heres-how-the-nsa-analyzes-all-that-call-data/#comments</comments>
		<pubDate>Thu, 06 Jun 2013 22:13:39 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Accumulo]]></category>
		<category><![CDATA[data privacy]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[intelligence]]></category>
		<category><![CDATA[privacy]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=654984</guid>
		<description><![CDATA[How does the NSA analyze all the data it's collecting from cell phone users? With a massive database system built with just such scale and workloads in mind.]]></description>
		<wfw:commentRss>https://gigaom.com/2013/06/06/heres-how-the-nsa-analyzes-all-that-call-data/feed/</wfw:commentRss>
		<slash:comments>15</slash:comments>
		</item>
		<item>
		<title>New algorithm maps cancer cells like nodes on a social network</title>
		<link>https://gigaom.com/2013/05/20/new-algorithm-maps-cancer-cells-like-nodes-on-a-social-network/</link>
		<comments>https://gigaom.com/2013/05/20/new-algorithm-maps-cancer-cells-like-nodes-on-a-social-network/#comments</comments>
		<pubDate>Mon, 20 May 2013 20:58:53 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cancer research]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[health care]]></category>
		<category><![CDATA[healthcare]]></category>
		<category><![CDATA[medical research]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=647256</guid>
		<description><![CDATA[A group of researchers from Columbia and Stanford have created a method for turning complex cellular datasets into visualizations that map the similarities between tens of thousands of cells within a&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/05/20/new-algorithm-maps-cancer-cells-like-nodes-on-a-social-network/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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