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	<title>SAS Voices</title>
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		<title>What leaders learn when AI meets reality</title>
		<link>https://blogs.sas.com/content/sascom/2026/06/05/what-leaders-learn-when-ai-meets-reality/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/06/05/what-leaders-learn-when-ai-meets-reality/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Myers]]></dc:creator>
		<pubDate>Fri, 05 Jun 2026 15:24:10 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[2026 trends]]></category>
		<category><![CDATA[AI readiness]]></category>
		<category><![CDATA[Braindate]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<category><![CDATA[smb]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78733</guid>

					<description><![CDATA[<p>Most leaders do not have an AI problem. They have a readiness problem. In many small and midsized businesses, pilots are underway and use cases are defined. But when leaders step back and ask the harder question, "Is AI actually paying off?", the answer is often less clear. This gap [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/06/05/what-leaders-learn-when-ai-meets-reality/">What leaders learn when AI meets reality</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>Could “phantom identities” be distorting your AI decisions?</title>
		<link>https://blogs.sas.com/content/sascom/2026/06/04/phantom-identities-ai-decisions/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/06/04/phantom-identities-ai-decisions/#respond</comments>
		
		<dc:creator><![CDATA[Chris McHargue]]></dc:creator>
		<pubDate>Thu, 04 Jun 2026 10:00:52 +0000</pubDate>
				<category><![CDATA[Curiosity]]></category>
		<category><![CDATA[Innovation]]></category>
		<category><![CDATA[2026 trends]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[agentic AI banking]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[AI hallucinations]]></category>
		<category><![CDATA[banking trends]]></category>
		<category><![CDATA[brewing curiosity]]></category>
		<category><![CDATA[financial risk]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78712</guid>

					<description><![CDATA[<p>A duplicate customer record. A missing zip code. A workaround someone did years ago. On their own, these don’t seem like big issues. But together, they create inconsistencies that have a ripple effect – often with major consequences. Here’s a truth that we can all agree on: If your data [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/06/04/phantom-identities-ai-decisions/">Could “phantom identities” be distorting your AI decisions?</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/chrismchargue/">Chris McHargue</a></p>
]]></description>
		
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		<title>Reviving the promise of AI with RAG, data and agentic</title>
		<link>https://blogs.sas.com/content/sascom/2026/06/03/promise-of-ai-rag-data-agentic/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/06/03/promise-of-ai-rag-data-agentic/#respond</comments>
		
		<dc:creator><![CDATA[Franklin Manchester]]></dc:creator>
		<pubDate>Wed, 03 Jun 2026 13:00:30 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[2026 trends]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI readiness]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[insurance trends]]></category>
		<category><![CDATA[Retrieval-augmented generation]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<category><![CDATA[SAS Retrieval Agent Manager]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78706</guid>

					<description><![CDATA[<p>A quick search through headlines reveals a range of AI-related disappointments. Consider that 95% of GenAI pilots fail, according to MIT. Amazon’s Kiro agent recently sparked a 13-hour outage by deleting a production environment. And we can’t forget that the resource and energy strain from a new wave of AI [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/06/03/promise-of-ai-rag-data-agentic/">Reviving the promise of AI with RAG, data and agentic</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/franklinmanchester/">Franklin Manchester</a></p>
]]></description>
		
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		<title>Are you an agentic AI Observer, Planner or Adopter?</title>
		<link>https://blogs.sas.com/content/sascom/2026/06/02/are-you-an-agentic-ai-observer-planner-or-adopter/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/06/02/are-you-an-agentic-ai-observer-planner-or-adopter/#respond</comments>
		
		<dc:creator><![CDATA[Kemonte Jones]]></dc:creator>
		<pubDate>Tue, 02 Jun 2026 09:00:03 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[2026 trends]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[customer experience]]></category>
		<category><![CDATA[customer intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[personalization]]></category>
		<category><![CDATA[quantum computing]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78676</guid>

					<description><![CDATA[<p>Marketers have made enormous strides with generative AI (GenAI) over the last year, moving from experimentation to large-scale deployment. But the next shift in AI maturity – agentic AI – is already underway. This shift will push organizations beyond prompt-based productivity and into a world where AI can act, learn [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/06/02/are-you-an-agentic-ai-observer-planner-or-adopter/">Are you an agentic AI Observer, Planner or Adopter?</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/kemontejones/">Kemonte Jones</a></p>
]]></description>
		
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		<title>When every second counts: Georgia-Pacific masters real-time AI with SAS</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/29/georgia-pacific-real-time-ai-sas/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/05/29/georgia-pacific-real-time-ai-sas/#respond</comments>
		
		<dc:creator><![CDATA[Waynette Tubbs]]></dc:creator>
		<pubDate>Fri, 29 May 2026 09:00:54 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[customer story]]></category>
		<category><![CDATA[Georgia Pacific]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[recausticizing]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78664</guid>

					<description><![CDATA[<p>Georgia-Pacific didn’t treat AI as a science project or a luxury add-on while researching solutions. They made it core to operations, scaling intelligent decisions across an enterprise as massive as their manufacturing footprint. Georgia-Pacific manufactures products used every day, like bath tissue, boxes and lumber, across more than 150 sites [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/29/georgia-pacific-real-time-ai-sas/">When every second counts: Georgia-Pacific masters real-time AI with SAS</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/waynettetubbs/">Waynette Tubbs</a></p>
]]></description>
		
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		<title>Trust and transparency in insurance decisions</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/27/trust-and-transparency-in-insurance-decisions/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/05/27/trust-and-transparency-in-insurance-decisions/#respond</comments>
		
		<dc:creator><![CDATA[Franklin Manchester]]></dc:creator>
		<pubDate>Wed, 27 May 2026 18:00:59 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[insurance trends]]></category>
		<category><![CDATA[insurance unfiltered series]]></category>
		<category><![CDATA[trust]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78601</guid>

					<description><![CDATA[<p>Hear from our experts how insurers can create AI safeguards and ensure safe model use.</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/27/trust-and-transparency-in-insurance-decisions/">Trust and transparency in insurance decisions</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/franklinmanchester/">Franklin Manchester</a></p>
]]></description>
		
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		<title>Outside of the norm: Spot rare event fraud with data and AI</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/25/outside-of-the-norm-spot-rare-event-fraud-with-data-and-ai/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/05/25/outside-of-the-norm-spot-rare-event-fraud-with-data-and-ai/#respond</comments>
		
		<dc:creator><![CDATA[John Stultz]]></dc:creator>
		<pubDate>Mon, 25 May 2026 09:00:23 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[fraud week stories]]></category>
		<category><![CDATA[genAI]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[procurement]]></category>
		<category><![CDATA[synthetic data]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=71476</guid>

					<description><![CDATA[<p>Fairness, transparency, integrity and competition are essential for managing public funds. We rely on departments to choose the best value from the private sector. Efficient public procurement improves services, infrastructure, and the economy. It must also be accountable to the public by protecting financial loss from fraud, waste, abuse, and [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/25/outside-of-the-norm-spot-rare-event-fraud-with-data-and-ai/">Outside of the norm: Spot rare event fraud with data and AI</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/johnstultz/">John Stultz</a></p>
]]></description>
		
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		<title>AI ROI for SMBs: A practical guide for leaders who want results</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/21/ai-roi-for-smbs-a-practical-guide-for-leaders/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/05/21/ai-roi-for-smbs-a-practical-guide-for-leaders/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Myers]]></dc:creator>
		<pubDate>Thu, 21 May 2026 10:00:55 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[customer story]]></category>
		<category><![CDATA[fragmentation]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[roi]]></category>
		<category><![CDATA[smb]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78589</guid>

					<description><![CDATA[<p>For small and midsize businesses (SMBs), AI is no longer optional. But for many leaders, the real challenge is making those investments pay off. That’s where things often break down. Too many AI initiatives start with tools instead of outcomes. They stay stuck in pilot mode. Or they deliver insights [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/21/ai-roi-for-smbs-a-practical-guide-for-leaders/">AI ROI for SMBs: A practical guide for leaders who want results</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>From insight to action: Why intelligent decisioning matters in the public sector</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/21/decision-intelligence-public-sector/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/05/21/decision-intelligence-public-sector/#respond</comments>
		
		<dc:creator><![CDATA[Jennifer Robinson]]></dc:creator>
		<pubDate>Thu, 21 May 2026 09:00:34 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[decision intelligence]]></category>
		<category><![CDATA[governance]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[public sector trends]]></category>
		<category><![CDATA[SAS Intelligent Decisioning]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78562</guid>

					<description><![CDATA[<p>Raise your hand if you’re using data and AI, but are as busy as ever. If that sounds familiar, you’re not alone.  Many employees are still weighed down with high volumes of manual processing despite having data and analytics tools. For some, the workload has even increased as analytics and AI generate more information that requires review and [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/21/decision-intelligence-public-sector/">From insight to action: Why intelligent decisioning matters in the public sector</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/jenniferrobinson/">Jennifer Robinson</a></p>
]]></description>
		
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		<title>From SAS/IntrNet to agentic AI: Watching two technology shifts unfold</title>
		<link>https://blogs.sas.com/content/sascom/2026/05/20/sas-intrnet-agentic-ai/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/05/20/sas-intrnet-agentic-ai/#comments</comments>
		
		<dc:creator><![CDATA[Ted Stolarczyk]]></dc:creator>
		<pubDate>Wed, 20 May 2026 08:00:13 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[SAS 50th anniversary]]></category>
		<category><![CDATA[SAS Innovate]]></category>
		<category><![CDATA[SAS IntrNet]]></category>
		<category><![CDATA[sas users]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=78459</guid>

					<description><![CDATA[<p>When I joined SAS in 1997, most analytics workflows still revolved around desktops, batch processing and highly technical users. Later that same year, SAS introduced SAS/IntrNet – a technology that helped bring SAS analytics into the growing world of web applications. At the time, it felt like a major shift [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/05/20/sas-intrnet-agentic-ai/">From SAS/IntrNet to agentic AI: Watching two technology shifts unfold</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/tedstolarczyk/">Ted Stolarczyk</a></p>
]]></description>
		
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