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		<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>
		
					<wfw:commentRss>https://blogs.sas.com/content/sascom/2026/08/31/why-consistent-reproducibility-cant-be-optional-in-clinical-research/feed/</wfw:commentRss>
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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>
]]></description>
		
					<wfw:commentRss>https://blogs.sas.com/content/sascom/2026/08/20/division-of-labor-people-ai-agents/feed/</wfw:commentRss>
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		<title>Why enterprise AI isn’t a model problem anymore</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/13/why-enterprise-ai-isnt-a-model-problem-anymore/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/13/why-enterprise-ai-isnt-a-model-problem-anymore/#respond</comments>
		
		<dc:creator><![CDATA[Lou Flynn]]></dc:creator>
		<pubDate>Thu, 13 Aug 2026 17:25:52 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[composability]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<category><![CDATA[SAS Models]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79311</guid>

					<description><![CDATA[<p>Organizations rarely struggle to build AI models. They struggle to scale them. Across industries, organizations continue to invest heavily in data and AI, yet many initiatives never move beyond pilot projects. The challenge isn't creating better models. It's maintaining the infrastructure that surrounds them. Data pipelines, governance, business rules and [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/13/why-enterprise-ai-isnt-a-model-problem-anymore/">Why enterprise AI isn’t a model problem anymore</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/luisflynn/">Lou Flynn</a></p>
]]></description>
		
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		<title>What do AI leaders think comes next?</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/10/what-do-ai-leaders-think-comes-next/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/10/what-do-ai-leaders-think-comes-next/#respond</comments>
		
		<dc:creator><![CDATA[Natalie Gonzalez]]></dc:creator>
		<pubDate>Mon, 10 Aug 2026 08:00:19 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[future of AI]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<category><![CDATA[Trustworthy AI]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79254</guid>

					<description><![CDATA[<p>AI is evolving quickly, but where is it headed next? At SAS Innovate 2026, we asked customers, partners and industry leaders a simple question: What do you think the future of AI looks like? Their answers touched on everything from agentic AI and trustworthy AI to the role of human [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/10/what-do-ai-leaders-think-comes-next/">What do AI leaders think comes next?</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/nataliegonzalez/">Natalie Gonzalez</a></p>
]]></description>
		
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		<title>Personalization is becoming health care’s new standard</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/06/personalization-is-becoming-health-cares-new-standard/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/06/personalization-is-becoming-health-cares-new-standard/#respond</comments>
		
		<dc:creator><![CDATA[Amanda Barefoot]]></dc:creator>
		<pubDate>Thu, 06 Aug 2026 18:31:05 +0000</pubDate>
				<category><![CDATA[Equity and Responsibility]]></category>
		<category><![CDATA[AI in health care]]></category>
		<category><![CDATA[clinical care]]></category>
		<category><![CDATA[patient care]]></category>
		<category><![CDATA[personalization]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79302</guid>

					<description><![CDATA[<p>The consumerization of health care is no longer a future-state concept. It is here, and it is reshaping expectations faster than many organizations are prepared to meet. Patients today are not just recipients of care. They are consumers comparing experiences across industries. They expect the same level of personalization, convenience [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/06/personalization-is-becoming-health-cares-new-standard/">Personalization is becoming health care’s new standard</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/amandabarefoot/">Amanda Barefoot</a></p>
]]></description>
		
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		<title>Turning patient no-show predictions into action</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/06/turning-patient-no-show-predictions-into-action/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/06/turning-patient-no-show-predictions-into-action/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Myers]]></dc:creator>
		<pubDate>Thu, 06 Aug 2026 11:00:32 +0000</pubDate>
				<category><![CDATA[Speed and Agility]]></category>
		<category><![CDATA[health analytics]]></category>
		<category><![CDATA[patient care]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<category><![CDATA[sas partners]]></category>
		<category><![CDATA[SAS Viya]]></category>
		<category><![CDATA[smb]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79281</guid>

					<description><![CDATA[<p>Every missed appointment affects more than one patient. It delays care, leaves valuable clinical time unused, disrupts schedules and creates additional work for care teams already operating under significant pressure. For health care organizations facing growing demand and limited resources, reducing patient no-shows can improve both patient access and operational [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/06/turning-patient-no-show-predictions-into-action/">Turning patient no-show predictions into action</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/sarahmyers/">Sarah Myers</a></p>
]]></description>
		
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		<title>The marketing AI gap: Making AI work is the hard part</title>
		<link>https://blogs.sas.com/content/sascom/2026/08/05/the-marketing-ai-gap-making-ai-work-is-the-hard-part/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/08/05/the-marketing-ai-gap-making-ai-work-is-the-hard-part/#respond</comments>
		
		<dc:creator><![CDATA[Lisa Loftis]]></dc:creator>
		<pubDate>Wed, 05 Aug 2026 11:00:29 +0000</pubDate>
				<category><![CDATA[Speed and Agility]]></category>
		<category><![CDATA[AI and marketing]]></category>
		<category><![CDATA[customer analytics]]></category>
		<category><![CDATA[customer experience]]></category>
		<category><![CDATA[marketing analytics]]></category>
		<category><![CDATA[martech]]></category>
		<category><![CDATA[personalization]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=79266</guid>

					<description><![CDATA[<p>There is no question that AI in marketing is here to stay. According to DemandSage, “56% of brands now actively use AI to tailor every customer interaction (content, recommendations and support), while 96% of companies report AI has significantly improved their personalization ROI.” And it does pay off: DemandSage research [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/08/05/the-marketing-ai-gap-making-ai-work-is-the-hard-part/">The marketing AI gap: Making AI work is the hard part</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/lisaloftis/">Lisa Loftis</a></p>
]]></description>
		
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