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		<title>¿Anticipar incumplimientos de sus clientes? Las entidades financieras pueden usar la analítica de datos para reducir riesgos</title>
		<link>https://blogs.sas.com/content/sasla/2026/05/14/entidades-financieras-reducen-riesgo-con-analitica-de-datos/</link>
		
		<dc:creator><![CDATA[Luis Barrientos]]></dc:creator>
		<pubDate>Thu, 14 May 2026 19:22:06 +0000</pubDate>
				<category><![CDATA[SAS LATAM]]></category>
		<category><![CDATA[SAS Mexico]]></category>
		<category><![CDATA[Analítica]]></category>
		<category><![CDATA[analitica avanzada]]></category>
		<category><![CDATA[aseguradoras]]></category>
		<category><![CDATA[bancos]]></category>
		<category><![CDATA[banking]]></category>
		<category><![CDATA[crédito]]></category>
		<category><![CDATA[entidades financieras]]></category>
		<category><![CDATA[Gestión del riesgo]]></category>
		<category><![CDATA[insurance]]></category>
		<category><![CDATA[límites de crédito]]></category>
		<category><![CDATA[modelar el riesgo]]></category>
		<category><![CDATA[modelos]]></category>
		<category><![CDATA[Riesgo]]></category>
		<category><![CDATA[risk]]></category>
		<category><![CDATA[SAS]]></category>
		<category><![CDATA[Seguros]]></category>
		<category><![CDATA[sistema financiero]]></category>
		<category><![CDATA[tarjetas de crédito]]></category>
		<guid isPermaLink="false">http://40.16899</guid>

					<description><![CDATA[<p>En los últimos años, el país ha sido testigo de algunas intervenciones a entidades financieras, lo que ha causado incertidumbre no solo en los clientes y consumidores, sino también en el sistema financiero en general, impactando su credibilidad. Por esta razón, las empresas de este sector deben, ahora más que [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sasla/2026/05/14/entidades-financieras-reducen-riesgo-con-analitica-de-datos/">¿Anticipar incumplimientos de sus clientes? Las entidades financieras pueden usar la analítica de datos para reducir riesgos</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<title>New report reveals where SMBs stand on AI readiness</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/13/sas-idc-ai-readiness-small-and-midsize-businesses/</link>
		
		<dc:creator><![CDATA[Caroline Kinlaw]]></dc:creator>
		<pubDate>Wed, 13 May 2026 13:08:11 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI for SMB]]></category>
		<category><![CDATA[AI maturity]]></category>
		<category><![CDATA[AI readiness]]></category>
		<category><![CDATA[customer story]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[small and midsize business]]></category>
		<category><![CDATA[SMBs]]></category>
		<guid isPermaLink="false">http://2.78441</guid>

					<description><![CDATA[<p>Small and midsize businesses (SMBs) around the world are investing in AI, but most are still early in their AI maturity journey. That’s one of the key takeaways from a new global study commissioned by SAS and IDC.  The report, AI for SMBs: Closing the Readiness–Reality Gap, explores how SMBs [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/13/sas-idc-ai-readiness-small-and-midsize-businesses/">New report reveals where SMBs stand on AI readiness</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<title>Preventing kidney stones</title>
		<link>https://blogs.sas.com/content/efs/2026/05/13/preventing-kidney-stones/</link>
		
		<dc:creator><![CDATA[Kelly Gehle, MS, RDN, LDN, IFNCP]]></dc:creator>
		<pubDate>Wed, 13 May 2026 12:05:40 +0000</pubDate>
				<category><![CDATA[HCC Nutrition]]></category>
		<category><![CDATA[chicken]]></category>
		<category><![CDATA[curry]]></category>
		<category><![CDATA[fluids]]></category>
		<category><![CDATA[hydration]]></category>
		<category><![CDATA[Kidney]]></category>
		<category><![CDATA[kidney stones]]></category>
		<category><![CDATA[one pot]]></category>
		<category><![CDATA[water]]></category>
		<guid isPermaLink="false">http://30.29049</guid>

					<description><![CDATA[<p>Kidney stones are becoming more common around the world. In the U.S., one in 10 people will have a kidney stone, and the recurrence rate is high—about 50-80%, depending on the type of stone. Rates in children are rising too, increasing by about 10% over the last decade. If you’ve [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/efs/2026/05/13/preventing-kidney-stones/">Preventing kidney stones</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<title>Why tax agencies are embracing hybrid AI and generative AI</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/12/tax-agency-generative-ai-hybrid/</link>
		
		<dc:creator><![CDATA[Teya Dyan]]></dc:creator>
		<pubDate>Tue, 12 May 2026 09:00:52 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[financial crime]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[hybrid AI]]></category>
		<category><![CDATA[tax compliance]]></category>
		<category><![CDATA[tax fraud]]></category>
		<guid isPermaLink="false">http://2.78333</guid>

					<description><![CDATA[<p>Tax return registrations and filings continue to rise and fraud schemes are becoming more automated and sophisticated. At the same time, public expectations for fast, digital service are higher than ever. The intensity is real and the data tells a sobering story. In the United States alone, the Internal Revenue [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/12/tax-agency-generative-ai-hybrid/">Why tax agencies are embracing hybrid AI and generative AI</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<title>Compute multivariate normal orthant probabilities</title>
		<link>https://blogs.sas.com/content/iml/2026/05/11/mvn-orthant-probability.html</link>
		
		<dc:creator><![CDATA[Rick Wicklin]]></dc:creator>
		<pubDate>Mon, 11 May 2026 09:24:15 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Numerical Analysis]]></category>
		<category><![CDATA[Simulation]]></category>
		<category><![CDATA[Statistical Programming]]></category>
		<guid isPermaLink="false">http://22.58590</guid>

					<description><![CDATA[<p>In general, it is very difficult to compute a probability for a multivariate continuous distribution. For all continuous distributions, the probability requires solving a complicated multiple integral. For example, the probability for a bivariate normal distribution requires integrating the bivariate normal density over a two-dimensional (2-D) area. The probability for [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/iml/2026/05/11/mvn-orthant-probability.html">Compute multivariate normal orthant probabilities</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Designing for society: NC State students reimagine the role of AI</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/08/designing-for-society-nc-state-students-reimagine-the-role-of-ai/</link>
		
		<dc:creator><![CDATA[Caroline Kinlaw]]></dc:creator>
		<pubDate>Fri, 08 May 2026 08:00:18 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[NC State]]></category>
		<category><![CDATA[students]]></category>
		<guid isPermaLink="false">http://2.78300</guid>

					<description><![CDATA[<p>For the past 13 years, NC State College of Design students have been tasked with exploring how technology and design can help tackle society’s biggest challenges. This year, students were asked to reconsider the role design plays in society. Rather than developing a traditional B2B interface, they explored how design, [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/08/designing-for-society-nc-state-students-reimagine-the-role-of-ai/">Designing for society: NC State students reimagine the role of AI</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Fraud at scale: Trends the public sector cannot ignore</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/07/fraud-public-sector-trends/</link>
		
		<dc:creator><![CDATA[Liz Goldberg]]></dc:creator>
		<pubDate>Thu, 07 May 2026 08:00:57 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AI fraud]]></category>
		<category><![CDATA[financial crime]]></category>
		<category><![CDATA[fragmentation]]></category>
		<category><![CDATA[fraud waste and abuse]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[public sector trends]]></category>
		<guid isPermaLink="false">http://2.78276</guid>

					<description><![CDATA[<p>Fraud targeting public sector programs has entered a new phase. Sophisticated fraudsters, armed with AI, are depleting public sector budgets and damaging trust in government – and that’s a reality governments must face. What was once largely opportunistic and fragmented has become organized, industrialized and increasingly cross-border. Fraudsters no longer [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/07/fraud-public-sector-trends/">Fraud at scale: Trends the public sector cannot ignore</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<title>From predicting risk to changing behavior: Rethinking medication adherence with agentic AI</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/06/from-predicting-risk-to-changing-behavior-rethinking-medication-adherence-with-agentic-ai/</link>
		
		<dc:creator><![CDATA[Heather Hallett]]></dc:creator>
		<pubDate>Wed, 06 May 2026 10:00:22 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[medication adherence]]></category>
		<category><![CDATA[model cards]]></category>
		<category><![CDATA[sas intelligent decisioning]]></category>
		<category><![CDATA[Trustworthy AI]]></category>
		<guid isPermaLink="false">http://2.78186</guid>

					<description><![CDATA[<p>Medication non‑adherence remains one of health care’s most persistent and expensive challenges. Across chronic conditions, only about half of patients take medications as prescribed, even when effective treatments are available. The consequences are significant: disease progression, avoidable hospitalizations, increased mortality, and hundreds of billions of dollars in preventable health care [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/06/from-predicting-risk-to-changing-behavior-rethinking-medication-adherence-with-agentic-ai/">From predicting risk to changing behavior: Rethinking medication adherence with agentic AI</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Working with Microsoft 365 Sensitivity Labels from SAS programs</title>
		<link>https://blogs.sas.com/content/sasdummy/2026/05/05/sensitivity-labels-sas/</link>
		
		<dc:creator><![CDATA[Chris Hemedinger]]></dc:creator>
		<pubDate>Tue, 05 May 2026 15:07:54 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Microsoft 365]]></category>
		<category><![CDATA[OneDrive]]></category>
		<category><![CDATA[SAS Programming]]></category>
		<category><![CDATA[SharePoint]]></category>
		<guid isPermaLink="false">http://23.8259</guid>

					<description><![CDATA[<p>How to detect and respect Sensitivity Labels when working with SAS and Microsoft 365 content.</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sasdummy/2026/05/05/sensitivity-labels-sas/">Working with Microsoft 365 Sensitivity Labels from SAS programs</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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		<title>Your AI agent found the issue. Now what?</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/05/your-ai-agent-found-the-issue-now-what/</link>
		
		<dc:creator><![CDATA[Caslee Sims]]></dc:creator>
		<pubDate>Tue, 05 May 2026 12:00:36 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[event stream processing]]></category>
		<category><![CDATA[large language models]]></category>
		<category><![CDATA[model context protocol]]></category>
		<category><![CDATA[SAS events]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<guid isPermaLink="false">http://2.78228</guid>

					<description><![CDATA[<p>If you’ve been experimenting with tools inside ChatGPT or Claude, you’ve probably seen how quickly an AI agent can surface useful information. It can pull data, summarize what’s happening and point you in the right direction. That part works. Where things still break down is what happens next. You find [...]</p>
<p>The post <a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/05/your-ai-agent-found-the-issue-now-what/">Your AI agent found the issue. Now what?</a> appeared first on <a rel="nofollow" href="https://blogs.sas.com/content">SAS Blogs</a>.</p>
]]></description>
		
		
		
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