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		<title>Traditional ALM is no longer enough – here’s why</title>
		<link>https://blogs.sas.com/content/sascom/2026/04/08/traditional-alm-is-no-longer-enough-heres-why/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/04/08/traditional-alm-is-no-longer-enough-heres-why/#respond</comments>
		
		<dc:creator><![CDATA[Thorsten Hein]]></dc:creator>
		<pubDate>Wed, 08 Apr 2026 10:00:02 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[2026 trends]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[asset liability management]]></category>
		<category><![CDATA[banking trends]]></category>
		<category><![CDATA[governance]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77623</guid>

					<description><![CDATA[<p>Asset and liability management (ALM) is still a cornerstone of banking. But when market conditions shift quickly, as they increasingly do, it no longer reflects how banks actually experience and manage risk, capital and profitability. The environment has changed. Volatility is now persistent rather than episodic. Regulatory expectations continue to [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/04/08/traditional-alm-is-no-longer-enough-heres-why/">Traditional ALM is no longer enough – here’s why</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/thorstenhein/">Thorsten Hein</a></p>
]]></description>
		
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		<title>What’s holding back AI impact in banking?</title>
		<link>https://blogs.sas.com/content/sascom/2026/04/06/ai-impact-in-banking/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/04/06/ai-impact-in-banking/#respond</comments>
		
		<dc:creator><![CDATA[Adam Neiberg]]></dc:creator>
		<pubDate>Mon, 06 Apr 2026 10:00:27 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[2026 trends]]></category>
		<category><![CDATA[banking trends]]></category>
		<category><![CDATA[brewing curiosity]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[trust]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77611</guid>

					<description><![CDATA[<p>If AI ambition inside your bank is starting to collide with day‑to‑day delivery realities, this six‑minute video is worth your time. It’s a “cut through the noise” conversation about what’s shaping banks right now: risks, opportunities and the reality behind the hype. AI’s impact depends on the foundation Listen to [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/04/06/ai-impact-in-banking/">What’s holding back AI impact in banking?</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/adamneiberg/">Adam Neiberg</a></p>
]]></description>
		
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		<title>Overcoming the AI trust dilemma: Key strategies for public sector leaders</title>
		<link>https://blogs.sas.com/content/sascom/2026/04/02/overcoming-ai-trust-dilemma-public-sector/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/04/02/overcoming-ai-trust-dilemma-public-sector/#respond</comments>
		
		<dc:creator><![CDATA[Grant Brooks]]></dc:creator>
		<pubDate>Thu, 02 Apr 2026 14:16:38 +0000</pubDate>
				<category><![CDATA[Equity and Responsibility]]></category>
		<category><![CDATA[2026 trends]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[public sector trends]]></category>
		<category><![CDATA[responsible innovation]]></category>
		<category><![CDATA[trust]]></category>
		<category><![CDATA[Trustworthy AI]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77593</guid>

					<description><![CDATA[<p>Few words stir both excitement and fear quite like AI. Similar to a carnival rollercoaster, some people lean into the thrill, while others clutch their safety bar. The promise of AI seems limitless, but so does the risk of going off the rails. This dynamic is playing out across government, [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/04/02/overcoming-ai-trust-dilemma-public-sector/">Overcoming the AI trust dilemma: Key strategies for public sector leaders</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/grantbrooks/">Grant Brooks</a></p>
]]></description>
		
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		<title>What’s next for customer engagement</title>
		<link>https://blogs.sas.com/content/sascom/2026/04/02/whats-next-for-customer-engagement/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/04/02/whats-next-for-customer-engagement/#respond</comments>
		
		<dc:creator><![CDATA[Amy Dyson]]></dc:creator>
		<pubDate>Thu, 02 Apr 2026 12:00:05 +0000</pubDate>
				<category><![CDATA[Speed and Agility]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[customer data platform]]></category>
		<category><![CDATA[customer engagement]]></category>
		<category><![CDATA[engagement model]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[personalization]]></category>
		<category><![CDATA[SAS Customer Intelligence 360]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77575</guid>

					<description><![CDATA[<p>Customer engagement is entering a new era that’s evolving very quickly. And it’s not defined by more messages or channels – it centers on intelligence, autonomy and trust. As organizations rethink how they connect with customers, a new model is emerging: engagement that predicts, learns and acts with purpose. In [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/04/02/whats-next-for-customer-engagement/">What’s next for customer engagement</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/amydyson/">Amy Dyson</a></p>
]]></description>
		
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		<item>
		<title>Why decision intelligence? It’s the unifying infrastructure for the enterprise</title>
		<link>https://blogs.sas.com/content/sascom/2026/03/31/decision-intelligence-unifying-infrastructure/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/03/31/decision-intelligence-unifying-infrastructure/#respond</comments>
		
		<dc:creator><![CDATA[Albert Qian]]></dc:creator>
		<pubDate>Tue, 31 Mar 2026 18:57:12 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI decisioning]]></category>
		<category><![CDATA[data quality]]></category>
		<category><![CDATA[decision intelligence]]></category>
		<category><![CDATA[SAS Intelligent Decisioning]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77560</guid>

					<description><![CDATA[<p>There’s a new reality. Managing, organizing and analyzing data alone is no longer enough. What really matters is how decisions are made, governed and executed. To be successful, enterprises need a unified approach that allows decisions to sit at the center, bringing people, systems and data together. While there are [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/03/31/decision-intelligence-unifying-infrastructure/">Why decision intelligence? It’s the unifying infrastructure for the enterprise</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/albertqian/">Albert Qian</a></p>
]]></description>
		
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		<item>
		<title>Insurance and the trust imperative: How to scale AI safely</title>
		<link>https://blogs.sas.com/content/sascom/2026/03/30/insurance-trust-imperative-scale-ai/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/03/30/insurance-trust-imperative-scale-ai/#respond</comments>
		
		<dc:creator><![CDATA[Franklin Manchester]]></dc:creator>
		<pubDate>Mon, 30 Mar 2026 10:00:29 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[customer engagement]]></category>
		<category><![CDATA[IDC study]]></category>
		<category><![CDATA[insurance trends]]></category>
		<category><![CDATA[trust]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77548</guid>

					<description><![CDATA[<p>Insurance is a business built on trust. Each policy represents a promise that insurers must be able to explain, defend and ultimately fulfill. When you add in AI becoming more embedded in underwriting, pricing, claims and customer engagement, that promise is being mediated by data and algorithms. An IDC report, [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/03/30/insurance-trust-imperative-scale-ai/">Insurance and the trust imperative: How to scale AI safely</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>Valuable customers? Insurers toe the line with agentic AI</title>
		<link>https://blogs.sas.com/content/sascom/2026/03/27/agentic-ai-customer-engagement/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/03/27/agentic-ai-customer-engagement/#respond</comments>
		
		<dc:creator><![CDATA[Thorsten Hein]]></dc:creator>
		<pubDate>Fri, 27 Mar 2026 12:00:27 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[agentic AI insurance]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[customer engagement]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[insurance trends]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77521</guid>

					<description><![CDATA[<p>Agentic AI has been heralded as a top tool for efficiently orchestrating customer engagement activities at insurance companies. It can: Automate repeatable, rule-based processes that affect customer experience (think claims processing and customer onboarding). Rapidly retrieve disparate data, analyze risks and recommend decisions. Help lower operational costs while keeping humans [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/03/27/agentic-ai-customer-engagement/">Valuable customers? Insurers toe the line with agentic 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/thorstenhein/">Thorsten Hein</a></p>
]]></description>
		
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		<title>Same toolbox, different tools: Understanding machine learning, computer vision and NLP in the public sector</title>
		<link>https://blogs.sas.com/content/sascom/2026/03/26/same-toolbox-different-tools-understanding-machine-learning-computer-vision-and-nlp-in-the-public-sector/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/03/26/same-toolbox-different-tools-understanding-machine-learning-computer-vision-and-nlp-in-the-public-sector/#respond</comments>
		
		<dc:creator><![CDATA[Edie Moyers]]></dc:creator>
		<pubDate>Thu, 26 Mar 2026 12:00:11 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI modeling]]></category>
		<category><![CDATA[computer vision]]></category>
		<category><![CDATA[natural language processing]]></category>
		<category><![CDATA[risk modeling]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77491</guid>

					<description><![CDATA[<p>Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning, [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/03/26/same-toolbox-different-tools-understanding-machine-learning-computer-vision-and-nlp-in-the-public-sector/">Same toolbox, different tools: Understanding machine learning, computer vision and NLP 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/ediemoyers/">Edie Moyers</a></p>
]]></description>
		
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		<title>Enterprise AI agents: Requirements for reliable data access</title>
		<link>https://blogs.sas.com/content/sascom/2026/03/25/enterprise-ai-agents-reliable-data-access/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/03/25/enterprise-ai-agents-reliable-data-access/#respond</comments>
		
		<dc:creator><![CDATA[Saurabh Mishra]]></dc:creator>
		<pubDate>Wed, 25 Mar 2026 12:00:51 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI agents]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[AIoT]]></category>
		<category><![CDATA[model context protocol]]></category>
		<category><![CDATA[Retrieval-augmented generation]]></category>
		<category><![CDATA[SAS Retrieval Agent Manager]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77461</guid>

					<description><![CDATA[<p>Many conversations about AI agents focus on models and frameworks. But when organizations attempt to deploy agents in real operational environments, a different challenge quickly emerges. How agents reliably and securely access enterprise data. Without reliable access to relevant data, AI agents struggle to support operational decisions. Whether diagnosing equipment [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/03/25/enterprise-ai-agents-reliable-data-access/">Enterprise AI agents: Requirements for reliable data access</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/saurabhmishra/">Saurabh Mishra</a></p>
]]></description>
		
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		<title>What a modern governance platform looks like – and how to choose the right one</title>
		<link>https://blogs.sas.com/content/sascom/2026/03/25/modern-governance-risk-compliance/</link>
					<comments>https://blogs.sas.com/content/sascom/2026/03/25/modern-governance-risk-compliance/#respond</comments>
		
		<dc:creator><![CDATA[Reyk Mikles]]></dc:creator>
		<pubDate>Wed, 25 Mar 2026 10:00:41 +0000</pubDate>
				<category><![CDATA[Innovation]]></category>
		<category><![CDATA[AI regulation]]></category>
		<category><![CDATA[EU AI Act]]></category>
		<category><![CDATA[governance risk compliance]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[public sector trends]]></category>
		<category><![CDATA[regulatory compliance]]></category>
		<guid isPermaLink="false">https://blogs.sas.com/content/sascom/?p=77512</guid>

					<description><![CDATA[<p>Governance, risk and compliance (GRC) has evolved beyond a control mechanism or regulatory safeguard. In today’s environment, it forms the operational backbone of effective corporate management – enabling organizations to identify risks early, meet regulatory expectations reliably, and ensure that decisions and processes remain transparent and traceable. Yet many organizations still [...]</p>
<p><a rel="nofollow" href="https://blogs.sas.com/content/sascom/2026/03/25/modern-governance-risk-compliance/">What a modern governance platform looks like – and how to choose the right one</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/reykmikles/">Reyk Mikles</a></p>
]]></description>
		
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