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	<title>IBM Watson Archives - Nick Patience</title>
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	<description>Technology Industry Analyst &#38; Consultant</description>
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		<title>AI platforms arriving soon</title>
		<link>http://www.nickpatience.com/ai-platforms-arriving-soon/</link>
					<comments>http://www.nickpatience.com/ai-platforms-arriving-soon/#respond</comments>
		
		<dc:creator><![CDATA[Nick Patience]]></dc:creator>
		<pubDate>Tue, 10 Sep 2019 08:22:07 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[AI Platforms]]></category>
		<category><![CDATA[C3.ai]]></category>
		<category><![CDATA[CognitiveScale]]></category>
		<category><![CDATA[google]]></category>
		<category><![CDATA[IBM Watson]]></category>
		<category><![CDATA[Microsoft Azure]]></category>
		<category><![CDATA[MIT]]></category>
		<guid isPermaLink="false">http://www.nickpatience.com/?p=1341</guid>

					<description><![CDATA[<p>AI is an omni-purpose technology that can bring improvements in efficiency and insights to almost any business process. But through my qualitative and quantitive research and conversations with practitioners, I've found that the use cases for AI and machine learning get very industry-specific, very quickly. That’s because they are driven by data and each company's&#8230;&#8230; <a class="more-link" href="http://www.nickpatience.com/ai-platforms-arriving-soon/">Continue reading <span class="screen-reader-text">AI platforms arriving soon</span> <span class="meta-nav" aria-hidden="true">&#8594;</span></a></p>
<p>The post <a href="http://www.nickpatience.com/ai-platforms-arriving-soon/">AI platforms arriving soon</a> appeared first on <a href="http://www.nickpatience.com">Nick Patience</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=http%3A%2F%2Fwww.nickpatience.com%2Fai-platforms-arriving-soon%2F&amp;linkname=AI%20platforms%20arriving%20soon" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=http%3A%2F%2Fwww.nickpatience.com%2Fai-platforms-arriving-soon%2F&amp;linkname=AI%20platforms%20arriving%20soon" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share#url=http%3A%2F%2Fwww.nickpatience.com%2Fai-platforms-arriving-soon%2F&#038;title=AI%20platforms%20arriving%20soon" data-a2a-url="http://www.nickpatience.com/ai-platforms-arriving-soon/" data-a2a-title="AI platforms arriving soon"></a></p><p>AI is an omni-purpose technology that can bring improvements in efficiency and insights to almost any business process. But through my qualitative and quantitive research and conversations with practitioners, I've found that the use cases for AI and machine learning get very industry-specific, very quickly. That’s because they are driven by data and each company's&hellip; <a class="more-link" href="http://www.nickpatience.com/ai-platforms-arriving-soon/">Continue reading <span class="screen-reader-text">AI platforms arriving soon</span> <span class="meta-nav" aria-hidden="true">&rarr;</span></a></p><p>The post <a href="http://www.nickpatience.com/ai-platforms-arriving-soon/">AI platforms arriving soon</a> appeared first on <a href="http://www.nickpatience.com">Nick Patience</a>.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">1341</post-id>	</item>
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		<title>Healthcare IT is hard &#8211; even with AI &#038; machine learning &#8211; but we should pursue it</title>
		<link>http://www.nickpatience.com/healthcare-hard-even-ai-machine-learning/</link>
					<comments>http://www.nickpatience.com/healthcare-hard-even-ai-machine-learning/#respond</comments>
		
		<dc:creator><![CDATA[Nick Patience]]></dc:creator>
		<pubDate>Fri, 22 Sep 2017 10:34:30 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big data]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[data growth]]></category>
		<category><![CDATA[IBM]]></category>
		<category><![CDATA[IBM Watson]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Recommind]]></category>
		<guid isPermaLink="false">http://www.nickpatience.com/?p=859</guid>

					<description><![CDATA[<p>Healthcare IT is hard.&#160;I bring this up as the drumbeat of negative press about IBM Watson has been getting louder recently, especially around healthcare. And now comes this comprehensive report&#160;from STAT News - a well-respected source in the health sector - on IBM's efforts with Watson for Oncology. The report outlines the struggles clinicians have&#8230;&#8230; <a class="more-link" href="http://www.nickpatience.com/healthcare-hard-even-ai-machine-learning/">Continue reading <span class="screen-reader-text">Healthcare IT is hard &#8211; even with AI &#038; machine learning &#8211; but we should pursue it</span> <span class="meta-nav" aria-hidden="true">&#8594;</span></a></p>
<p>The post <a href="http://www.nickpatience.com/healthcare-hard-even-ai-machine-learning/">Healthcare IT is hard &#8211; even with AI &#038; machine learning &#8211; but we should pursue it</a> appeared first on <a href="http://www.nickpatience.com">Nick Patience</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=http%3A%2F%2Fwww.nickpatience.com%2Fhealthcare-hard-even-ai-machine-learning%2F&amp;linkname=Healthcare%20IT%20is%20hard%20%E2%80%93%20even%20with%20AI%20%26%20machine%20learning%20%E2%80%93%20but%20we%20should%20pursue%20it" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=http%3A%2F%2Fwww.nickpatience.com%2Fhealthcare-hard-even-ai-machine-learning%2F&amp;linkname=Healthcare%20IT%20is%20hard%20%E2%80%93%20even%20with%20AI%20%26%20machine%20learning%20%E2%80%93%20but%20we%20should%20pursue%20it" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share#url=http%3A%2F%2Fwww.nickpatience.com%2Fhealthcare-hard-even-ai-machine-learning%2F&#038;title=Healthcare%20IT%20is%20hard%20%E2%80%93%20even%20with%20AI%20%26%20machine%20learning%20%E2%80%93%20but%20we%20should%20pursue%20it" data-a2a-url="http://www.nickpatience.com/healthcare-hard-even-ai-machine-learning/" data-a2a-title="Healthcare IT is hard – even with AI &amp; machine learning – but we should pursue it"></a></p><p>Healthcare IT is hard.&nbsp;I bring this up as the drumbeat of negative press about IBM Watson has been getting louder recently, especially around healthcare. And now comes this comprehensive report&nbsp;from STAT News - a well-respected source in the health sector - on IBM's efforts with Watson for Oncology. The report outlines the struggles clinicians have&hellip; <a class="more-link" href="http://www.nickpatience.com/healthcare-hard-even-ai-machine-learning/">Continue reading <span class="screen-reader-text">Healthcare IT is hard &#8211; even with AI &#038; machine learning &#8211; but we should pursue it</span> <span class="meta-nav" aria-hidden="true">&rarr;</span></a></p><p>The post <a href="http://www.nickpatience.com/healthcare-hard-even-ai-machine-learning/">Healthcare IT is hard &#8211; even with AI &#038; machine learning &#8211; but we should pursue it</a> appeared first on <a href="http://www.nickpatience.com">Nick Patience</a>.</p>
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