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    <title>Why the “Perfect Customer” May Be a Fraud Network and How Banks Can Spot It</title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/the-perfect-customer-may-be-a-fraud-network</link>
    <description><![CDATA[Synthetic identity fraud networks are using AI to look creditworthy, and banks need network-level analytics to catch them in time.]]></description>
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    <pubDate>Wed, 04 Nov 2026 08:00:00 GMT</pubDate>
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    <title>The Fastest Way To Kill an AI Program Is To Make the Cost Impossible To Predict</title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/the-fastest-way-to-kill-an-ai-program</link>
    <description><![CDATA[Banks can estimate AI’s value long before predicting its operating costs. That gap is where scaling confidence breaks down.]]></description>
    <guid isPermaLink="false">https://www.teradata.de/insights/ai-and-machine-learning/the-fastest-way-to-kill-an-ai-program</guid>
    <pubDate>Tue, 03 Nov 2026 08:00:00 GMT</pubDate>
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    <title>Why Some Agentic Coworkers Deliver Better Outcomes</title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/why-some-agentic-coworkers-deliver-better-outcomes</link>
    <description><![CDATA[Tera delivers benchmark-leading performance across four public benchmarks, using the same model and task as other AI coding assistants and enterprise data coworkers.]]></description>
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    <pubDate>Tue, 03 Nov 2026 08:00:00 GMT</pubDate>
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    <title>Sovereignty Is Now an AI Architecture Decision, Not Just a Question of Location</title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/sovereignty-is-now-an-ai-architecture-decision</link>
    <description><![CDATA[Data residency is no longer enough. Sovereign AI requires control over data, operations, and the technologies AI depends on.]]></description>
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    <pubDate>Tue, 20 Oct 2026 07:00:00 GMT</pubDate>
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    <title>Protect the Intelligence Behind AI by Reducing the Identity It Carries</title>
    <link>https://www.teradata.de/insights/data-security/protect-the-intelligence-behind-ai</link>
    <description><![CDATA[New privacy, security, and resiliency capabilities help organizations use their most valuable data for AI without exposing who it describes.]]></description>
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    <pubDate>Tue, 20 Oct 2026 07:00:00 GMT</pubDate>
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    <title>Enterprise Analytics Meets Sovereign Infrastructure: Teradata on Google Distributed Cloud Air-Gapped</title>
    <link>https://www.teradata.de/insights/data-analytics/enterprise-analytics-meets-sovereign-infrastructure</link>
    <description><![CDATA[Run Teradata analytics inside Google Distributed Cloud Air-Gapped for secure, fully isolated processing of sensitive data in regulated industries.]]></description>
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    <pubDate>Tue, 20 Oct 2026 07:00:00 GMT</pubDate>
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    <title>Understanding AI-Based Operational Risk in Banking, and How To Help Limit It</title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/does-ai-increase-bank-operational-risk</link>
    <description><![CDATA[AI adoption in banks boosts efficiency but raises operational risk. A unified AI environment can help.]]></description>
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    <pubDate>Mon, 19 Oct 2026 07:00:00 GMT</pubDate>
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    <title>The Biggest Risk in Agentic AI Is Not the Model, It’s the System Around It</title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/the-biggest-risk-in-agentic-ai</link>
    <description><![CDATA[Agentic AI in banking isn't just a capability question. It's a governance and systems risk challenge.]]></description>
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    <pubDate>Mon, 12 Oct 2026 07:00:00 GMT</pubDate>
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    <title>Disconnected Data Is Stifling ROI From Agentic AI</title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/disconnected-data-stifling-roi-from-agentic-ai</link>
    <description><![CDATA[A new report reveals that data fragmentation is a primary roadblock for organizations trying to move from agentic AI pilots to enterprise-wide autonomous knowledge that delivers measurable results.]]></description>
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    <pubDate>Sun, 11 Oct 2026 07:00:00 GMT</pubDate>
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    <title>Setting the Context: What Agentic BI Actually Means for the Enterprise </title>
    <link>https://www.teradata.de/insights/ai-and-machine-learning/what-agentic-bi-means-for-the-enterprise</link>
    <description><![CDATA[That is the promise. What follows is the reality of delivering it at scale, and why architecture ends up being the deciding factor. ]]></description>
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    <pubDate>Tue, 06 Oct 2026 07:00:00 GMT</pubDate>
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