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	<title>SAS Voices</title>
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		<title>Why biodiversity is becoming a financial risk</title>
		<link>https://blogs.sas.com/content/sascom/2026/09/09/why-biodiversity-is-becoming-a-financial-risk/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/09/09/why-biodiversity-is-becoming-a-financial-risk/#respond</comments>
		
		<dc:creator><![CDATA[Caroline Kinlaw]]></dc:creator>
		<pubDate>Wed, 09 Sep 2026 09:00:04 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[biodiversity]]></category>
		<category><![CDATA[corporate credit risk]]></category>
		<category><![CDATA[SAS Hackathon]]></category>
		<category><![CDATA[SAS Viya]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79392</guid>

					<description><![CDATA[<p>For years, biodiversity has largely been viewed through an environmental lens. But for financial institutions, it's increasingly becoming a business issue. When ecosystems deteriorate, businesses that depend on them become more vulnerable. Crop yields can decline. Revenue becomes less predictable. And for banks and lenders, that means financial risk may [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/09/09/why-biodiversity-is-becoming-a-financial-risk/">Why biodiversity is becoming a financial risk</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/carolinericks/">Caroline Kinlaw</a></p>
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		<title>What comes after the AI investment?</title>
		<link>https://blogs.sas.com/content/sascom/2026/09/08/what-comes-after-the-ai-investment/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/09/08/what-comes-after-the-ai-investment/#respond</comments>
		
		<dc:creator><![CDATA[Smriti Rao]]></dc:creator>
		<pubDate>Tue, 08 Sep 2026 17:12:01 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[Microsoft Azure]]></category>
		<category><![CDATA[model risk management]]></category>
		<category><![CDATA[sas microsoft partnership]]></category>
		<category><![CDATA[SAS Viya]]></category>
		<category><![CDATA[SAS Viya Copilot]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79491</guid>

					<description><![CDATA[<p>Organizations have spent the past several years building the foundations for AI. They’ve invested in cloud infrastructure, data platforms, copilots and, increasingly, AI agents. Now comes the harder question: What happens when those investments begin influencing real business decisions? Moving AI from experimentation into everyday operation raises the stakes. Organizations [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/09/08/what-comes-after-the-ai-investment/">What comes after the AI investment?</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/smritirao/">Smriti Rao</a></p>
]]></description>
		
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		<title>What level of autonomy has AI earned?</title>
		<link>https://blogs.sas.com/content/sascom/2026/09/03/what-level-of-autonomy-has-ai-earned/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/09/03/what-level-of-autonomy-has-ai-earned/#respond</comments>
		
		<dc:creator><![CDATA[Udo Sglavo]]></dc:creator>
		<pubDate>Thu, 03 Sep 2026 15:18:01 +0000</pubDate>
				<category><![CDATA[Equity and Responsibility]]></category>
		<category><![CDATA[Innovation]]></category>
		<category><![CDATA[human judgment]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[responsible innovation]]></category>
		<category><![CDATA[SAS executives]]></category>
		<category><![CDATA[trust]]></category>
		<category><![CDATA[Trustworthy AI]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79470</guid>

					<description><![CDATA[<p>An AI system recommends an action. A person reviews the reasoning, considers the context and decides whether to proceed. That interaction captures one of the central questions facing organizations today: As AI moves from generating answers to taking action, how do we determine how much autonomy to give it? The [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/09/03/what-level-of-autonomy-has-ai-earned/">What level of autonomy has AI earned?</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/udosglavo/">Udo Sglavo</a></p>
]]></description>
		
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		<title>Beyond the build: What SAS Partners gain from the Hackathon</title>
		<link>https://blogs.sas.com/content/sascom/2026/09/03/beyond-the-build-what-sas-partners-gain-from-the-hackathon/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/09/03/beyond-the-build-what-sas-partners-gain-from-the-hackathon/#respond</comments>
		
		<dc:creator><![CDATA[John Carey]]></dc:creator>
		<pubDate>Thu, 03 Sep 2026 10:00:34 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[responsible innovation]]></category>
		<category><![CDATA[SAS Hackathon]]></category>
		<category><![CDATA[sas partners]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79458</guid>

					<description><![CDATA[<p>Some of the best ideas don't start with a finished solution. They start with a problem worth solving and the opportunity to experiment. The SAS Hackathon is a monthlong global innovation experience that brings together partners, customers and SAS experts to tackle real business challenges using data and AI. Along [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/09/03/beyond-the-build-what-sas-partners-gain-from-the-hackathon/">Beyond the build: What SAS Partners gain from the Hackathon</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/johncarey/">John Carey</a></p>
]]></description>
		
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		<item>
		<title>From quality measurement to outcome engineering</title>
		<link>https://blogs.sas.com/content/sascom/2026/09/02/from-quality-measurement-to-outcome-engineering/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/09/02/from-quality-measurement-to-outcome-engineering/#respond</comments>
		
		<dc:creator><![CDATA[Heather Hallett]]></dc:creator>
		<pubDate>Wed, 02 Sep 2026 09:00:08 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[clinical research]]></category>
		<category><![CDATA[digital twins]]></category>
		<category><![CDATA[outcome engineering]]></category>
		<category><![CDATA[population health]]></category>
		<category><![CDATA[predictive analytics]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79419</guid>

					<description><![CDATA[<p>Health care has never measured quality more aggressively. Organizations track thousands of measures across clinical quality, patient experience, access and outcomes. From readmissions and medication adherence to patient satisfaction and preventive care, organizations have more ways than ever to understand how well care is being delivered. Yet despite having more [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/09/02/from-quality-measurement-to-outcome-engineering/">From quality measurement to outcome engineering</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/heatherhallett/">Heather Hallett</a></p>
]]></description>
		
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		<item>
		<title>Stop saying AI isn’t a technology problem</title>
		<link>https://blogs.sas.com/content/sascom/2026/09/01/stop-saying-ai-isnt-a-technology-problem/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/09/01/stop-saying-ai-isnt-a-technology-problem/#respond</comments>
		
		<dc:creator><![CDATA[Bryan Harris]]></dc:creator>
		<pubDate>Tue, 01 Sep 2026 10:00:55 +0000</pubDate>
				<category><![CDATA[Data Culture and Literacy]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[responsible innovation]]></category>
		<category><![CDATA[SAS executives]]></category>
		<category><![CDATA[Trustworthy AI]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79431</guid>

					<description><![CDATA[<p>“It’s not a technology problem. It’s a process problem.” “It’s not an accuracy issue. It’s an adoption issue.” “It’s not the model. It’s the human.” Sound familiar? I hear these arguments all the time. But here’s the reality: generative AI has an accuracy problem. In fact, it is well documented [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/09/01/stop-saying-ai-isnt-a-technology-problem/">Stop saying AI isn’t a technology problem</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/bryanharris/">Bryan Harris</a></p>
]]></description>
		
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		<title>Why consistent reproducibility can&#039;t be optional in clinical research</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/31/why-consistent-reproducibility-cant-be-optional-in-clinical-research/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/31/why-consistent-reproducibility-cant-be-optional-in-clinical-research/#respond</comments>
		
		<dc:creator><![CDATA[Jonathan Riches]]></dc:creator>
		<pubDate>Mon, 31 Aug 2026 09:00:27 +0000</pubDate>
				<category><![CDATA[Equity and Responsibility]]></category>
		<category><![CDATA[clinical research]]></category>
		<category><![CDATA[clinical trials]]></category>
		<category><![CDATA[responsible innovation]]></category>
		<category><![CDATA[SAS Clinical Acceleration]]></category>
		<category><![CDATA[statistical computing environment]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79407</guid>

					<description><![CDATA[<p>Run the same analysis on the same data. You should get the same result. Every time. In clinical research, that simply isn’t a best practice. It’s a regulatory expectation. Yet, a surprising number of clinical research teams still rely on individual analysts, local computing environments and manual documentation to ensure [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/31/why-consistent-reproducibility-cant-be-optional-in-clinical-research/">Why consistent reproducibility can&#039;t be optional in clinical research</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/jonathanriches/">Jonathan Riches</a></p>
]]></description>
		
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		<title>From model to meaning: Using GenAI to understand and improve statistical models</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/27/from-model-to-meaning-using-genai-to-understand-and-improve-statistical-models/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/27/from-model-to-meaning-using-genai-to-understand-and-improve-statistical-models/#respond</comments>
		
		<dc:creator><![CDATA[Gunce E. Walton]]></dc:creator>
		<pubDate>Thu, 27 Aug 2026 18:16:17 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[augmented analytics]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[SAS Visual Analytics]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79362</guid>

					<description><![CDATA[<p>A model can finish running in seconds. Understanding what it is telling you can take much longer. A fit statistic signals how well a model performs. A residual plot reveals whether assumptions hold. A decision tree shows how observations are split into groups. But before any of that can support [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/27/from-model-to-meaning-using-genai-to-understand-and-improve-statistical-models/">From model to meaning: Using GenAI to understand and improve statistical models</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/guncewalton/">Gunce E. Walton</a></p>
]]></description>
		
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		<title>Using data for good: How SAS interns support local students</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/26/using-data-for-good-how-sas-interns-support-local-students/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/26/using-data-for-good-how-sas-interns-support-local-students/#respond</comments>
		
		<dc:creator><![CDATA[Selena Mau]]></dc:creator>
		<pubDate>Wed, 26 Aug 2026 09:00:00 +0000</pubDate>
				<category><![CDATA[Curiosity]]></category>
		<category><![CDATA[back to school]]></category>
		<category><![CDATA[boys & girls club]]></category>
		<category><![CDATA[community]]></category>
		<category><![CDATA[data for good]]></category>
		<category><![CDATA[data literacy]]></category>
		<category><![CDATA[sas interns]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79335</guid>

					<description><![CDATA[<p>Summer internships are all about gaining the skills and experience needed to thrive in the future. But what if interns could use those skills to make a difference right now? SAS’ 2026 summer interns did exactly that through Data for Good, a long-running SAS program that uses data, analytics and [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/26/using-data-for-good-how-sas-interns-support-local-students/">Using data for good: How SAS interns support local students</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/selenamau/">Selena Mau</a></p>
]]></description>
		
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		<title>The new division of labor between people and AI agents</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/20/division-of-labor-people-ai-agents/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/20/division-of-labor-people-ai-agents/#respond</comments>
		
		<dc:creator><![CDATA[Caslee Sims]]></dc:creator>
		<pubDate>Thu, 20 Aug 2026 16:56:26 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[customer story]]></category>
		<category><![CDATA[human in the loop]]></category>
		<category><![CDATA[responsible innovation]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<category><![CDATA[Trustworthy AI]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79323</guid>

					<description><![CDATA[<p>Much of the conversation around agentic AI focuses on autonomy. How much work can an agent complete on its own? How many decisions can it make? How far can organizations remove people from the process? Those questions make sense, but they can also obscure where businesses are finding value today. [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/20/division-of-labor-people-ai-agents/">The new division of labor between people and AI agents</a> was published on <a rel="nofollow" href="https://blogs.sas.com/content/sascom">SAS Voices</a> by <a rel="nofollow" href="https://blogs.sas.com/content/sascom/author/casleesims/">Caslee Sims</a></p>
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