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	<title>Gigaom Search &#187; People &#187; Hilary Mason</title>
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		<title>What&#8217;s big, and what&#8217;s next, in data</title>
		<link>http://events.gigaom.com/structuredata-2015/session/whats-big-and-whats-next-in-data/</link>
		<comments>http://events.gigaom.com/structuredata-2015/session/whats-big-and-whats-next-in-data/#comments</comments>
		<pubDate>Fri, 30 Jan 2015 13:26:36 +0000</pubDate>
		<dc:creator><![CDATA[monicabadgley]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
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		<description><![CDATA[The data landscape has evolved a lot and few people have better insights into where we're headed than Hilary Mason and Matt Ocko. ]]></description>
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		<title>Why data science matters and how technology makes it possible</title>
		<link>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/</link>
		<comments>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/#comments</comments>
		<pubDate>Sat, 24 Jan 2015 18:06:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[data scientists]]></category>
		<category><![CDATA[Fast Forward Labs]]></category>
		<category><![CDATA[sensor data]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[Structure Data 2015]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=909496</guid>
		<description><![CDATA[When Hilary Mason talks about data, it's a good idea to listen. She was chief data scientist at Bit.ly, data scientist in residence at venture capital firm Accel Partners, and is&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>Hilary Mason on taking big data from theory to reality</title>
		<link>https://gigaom.com/2015/01/22/hilary-mason-on-taking-big-data-from-theory-to-reality/</link>
		<comments>https://gigaom.com/2015/01/22/hilary-mason-on-taking-big-data-from-theory-to-reality/#comments</comments>
		<pubDate>Thu, 22 Jan 2015 08:01:12 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Datapipe]]></category>
		<category><![CDATA[Fast Forward Labs]]></category>
		<category><![CDATA[machine intelligence]]></category>
		<category><![CDATA[Natural language generation]]></category>
		<category><![CDATA[Structure Show]]></category>
		<category><![CDATA[The Structure Show]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=908680</guid>
		<description><![CDATA[[soundcloud url="https://api.soundcloud.com/tracks/187259451?secret_token=s-4LM4Z" params="color=ff5500&#38;auto_play=false&#38;hide_related=false&#38;show_comments=true&#38;show_user=true&#38;show_reposts=false" width="100%" height="166" iframe="true" /] If you're interested in assessing how and when a given data technology -- deep learning, machine intelligence, natural language generation -- can move from&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/22/hilary-mason-on-taking-big-data-from-theory-to-reality/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>IBM and USAA put Watson to work in the military</title>
		<link>https://gigaom.com/2014/07/27/ibm-and-usaa-put-watson-to-work-in-the-military/</link>
		<comments>https://gigaom.com/2014/07/27/ibm-and-usaa-put-watson-to-work-in-the-military/#comments</comments>
		<pubDate>Sun, 27 Jul 2014 16:30:32 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Watson]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=860728</guid>
		<description><![CDATA[The week in cloud: IBM wants Watson to be a $10B-a-year and hopes consumer-facing applications to be a big part of that. ]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/27/ibm-and-usaa-put-watson-to-work-in-the-military/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Pivotal&#8217;s Andrew Clay Shafer on operations, OpenStack and incubators</title>
		<link>https://gigaom.com/2014/07/26/icymi-pivotals-andrew-clay-shafer-talks-operations-openstack-and-not-so-helpful-incubators/</link>
		<comments>https://gigaom.com/2014/07/26/icymi-pivotals-andrew-clay-shafer-talks-operations-openstack-and-not-so-helpful-incubators/#comments</comments>
		<pubDate>Sat, 26 Jul 2014 14:00:30 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[operations services]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:EMC]]></category>
		
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		<description><![CDATA[In this week's Structure Show podcast, agile-and-devops guru explains why operations staff is important for software projects, what exactly he's doing at Pivotal and why startups should be leery of incubators&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/26/icymi-pivotals-andrew-clay-shafer-talks-operations-openstack-and-not-so-helpful-incubators/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Devops guru on Cloud Foundry, OpenStack and why startups should steer clear of incubators</title>
		<link>https://gigaom.com/2014/07/23/devops-guru-on-cloud-foundry-openstack-and-why-startups-should-steer-clear-of-incubators/</link>
		<comments>https://gigaom.com/2014/07/23/devops-guru-on-cloud-foundry-openstack-and-why-startups-should-steer-clear-of-incubators/#comments</comments>
		<pubDate>Thu, 24 Jul 2014 06:29:07 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[devops]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=860059</guid>
		<description><![CDATA[On this week's Structure Show, Andrew Clay Shafer talks about his new gig at Pivotal, his issues with OpenStack, and updates us on why incubators still suck. ]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/23/devops-guru-on-cloud-foundry-openstack-and-why-startups-should-steer-clear-of-incubators/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Former Bit.ly data scientist Hilary Mason starts own research consulting lab</title>
		<link>https://gigaom.com/2014/07/21/former-bit-ly-data-scientist-hilary-mason-starts-own-research-consulting-lab/</link>
		<comments>https://gigaom.com/2014/07/21/former-bit-ly-data-scientist-hilary-mason-starts-own-research-consulting-lab/#comments</comments>
		<pubDate>Mon, 21 Jul 2014 20:33:21 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[natural language algorithms]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=859270</guid>
		<description><![CDATA[Fast Forward Labs, the new consulting service founded by Hilary Mason, will aggregate disparate forms of research on emerging technologies and present concise, readable reports for companies wanting to learn how&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/21/former-bit-ly-data-scientist-hilary-mason-starts-own-research-consulting-lab/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>The sexy era of big data is over as VCs turn to fund unexpected industries</title>
		<link>https://gigaom.com/2014/03/19/the-sexy-era-of-big-data-is-over-as-vcs-turn-to-fund-unexpected-industries/</link>
		<comments>https://gigaom.com/2014/03/19/the-sexy-era-of-big-data-is-over-as-vcs-turn-to-fund-unexpected-industries/#comments</comments>
		<pubDate>Wed, 19 Mar 2014 16:57:08 +0000</pubDate>
		<dc:creator><![CDATA[Jeff Roberts]]></dc:creator>
				<category><![CDATA[Structure Data 2014]]></category>
		<category><![CDATA[Structure:Data]]></category>
		<category><![CDATA[Structure:Data 2014]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=826178</guid>
		<description><![CDATA[Orthopedics and agriculture -- the hot new fields in big data may be less glamorous than two years ago, but that's where venture capitalists are looking.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/03/19/the-sexy-era-of-big-data-is-over-as-vcs-turn-to-fund-unexpected-industries/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Searching for the next big thing in big data</title>
		<link>http://events.gigaom.com/structuredata-2014/session/searching-for-the-next-big-thing-in-big-data/</link>
		<comments>http://events.gigaom.com/structuredata-2014/session/searching-for-the-next-big-thing-in-big-data/#comments</comments>
		<pubDate>Wed, 19 Mar 2014 05:32:24 +0000</pubDate>
		<dc:creator><![CDATA[stacey]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure Data 2014]]></category>
		<category><![CDATA[Structure:Data]]></category>
		<category><![CDATA[Structure:Data 2014]]></category>

		<guid isPermaLink="false">http://events.gigaom.com/structuredata-2014/session/tba-2/</guid>
		<description><![CDATA[As the big data market grows, investment into data companies grows alongside.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The New Alchemists &#8211; The Data Scientists Panel</title>
		<link>http://events.gigaom.com/structuredata-2011/session/the-new-alchemists-the-data-scientists-panel/</link>
		<comments>http://events.gigaom.com/structuredata-2011/session/the-new-alchemists-the-data-scientists-panel/#comments</comments>
		<pubDate>Tue, 11 Mar 2014 18:50:57 +0000</pubDate>
		<dc:creator><![CDATA[Casey Bisson]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Structure:Data]]></category>
		<category><![CDATA[Structure:Data 2011]]></category>

		<guid isPermaLink="false">http://ev.wp.event-import.gostage.it/structuredata-2011/session/the-new-alchemists-the-data-scientists-panel/</guid>
		<description><![CDATA[For years, traditional companies have been storing more and more data as the cost of storage has been getting less and less expensive. The hope is that one day these mountains&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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