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    <title>From Chat to Execution: Meet Tera, Teradata’s Agentic Coworker for Enterprise Data Work</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/meet-tera-agentic-coworker</link>
    <description><![CDATA[Tera combines an agent harness, skills, and governed enterprise context to turn business questions into completed data work.]]></description>
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    <pubDate>Wed, 23 Sep 2026 07:00:00 GMT</pubDate>
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    <title>The Missing Layer in Enterprise AI: Why Context Is Becoming the New Competitive Advantage</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/the-missing-layer-in-enterprise-ai</link>
    <description><![CDATA[Enterprise AI doesn't fail because of the models—it fails because AI lacks governed business context. Here's what a real context engine does, and why it matters architecturally. ]]></description>
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    <pubDate>Tue, 22 Sep 2026 07:00:00 GMT</pubDate>
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    <title>From Enterprise Intelligence to Enterprise Action</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/from-intelligence-to-action</link>
    <description><![CDATA[Discover how Tera Context Engine closes the Enterprise Intelligence Gap with a governed knowledge layer that helps AI understand and act on your business.]]></description>
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    <pubDate>Tue, 22 Sep 2026 07:00:00 GMT</pubDate>
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    <title>With Teradata, Enterprises Own Their Harness. Not Rent It.</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/agent-harness-enterprise-ownership</link>
    <description><![CDATA[Teradata believes every enterprise must own its harness. The harness controls AI economics, sovereignty, and governance and should belong to the customer, not the vendor.]]></description>
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    <pubDate>Tue, 22 Sep 2026 07:00:00 GMT</pubDate>
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    <title>Introducing Tera—the World’s Most Efficient Data Coworker</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/introducing-tera-most-efficient-agent</link>
    <description><![CDATA[More reliable. Half the cost. Half the latency.]]></description>
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    <pubDate>Tue, 22 Sep 2026 07:00:00 GMT</pubDate>
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    <title>CLV in Retail Banking: Identifying Your Most Profitable Relationships</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/clv-in-retail-banking</link>
    <description><![CDATA[Most retail banks manage profitability at the product level.]]></description>
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    <pubDate>Tue, 15 Sep 2026 07:00:00 GMT</pubDate>
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    <title>Analyzing Customer Satisfaction</title>
    <link>https://www.teradata.com/insights/data-analytics/analyzing-customer-satisfaction</link>
    <description><![CDATA[Banks have the survey data, but not the full picture]]></description>
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    <pubDate>Mon, 14 Sep 2026 07:00:00 GMT</pubDate>
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    <title>Which Industries Are Ahead in Agentic AI—and the Common Challenge They All Face</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/industries-leading-in-agentic-ai</link>
    <description><![CDATA[Discover which industries lead in agentic AI and why data fragmentation is the common barrier holding healthcare, manufacturing, retail, and finance back.]]></description>
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    <pubDate>Fri, 11 Sep 2026 07:00:00 GMT</pubDate>
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    <title>The Data Foundation: Why AI at Scale Fails Without It</title>
    <link>https://www.teradata.com/insights/ai-and-machine-learning/data-foundation-for-ai</link>
    <description><![CDATA[See why banks that can't fix their fragmented data foundation will always struggle to scale their AI programs beyond the initial pilot stage. ]]></description>
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    <pubDate>Thu, 03 Sep 2026 07:00:00 GMT</pubDate>
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    <title>Modernizing Data Platforms for AI/ML and Generative AI: The Case for Migrating from Hadoop to Teradata</title>
    <link>https://www.teradata.com/insights/data-platform/modernizing-data-platforms-for-ai-ml-and-genai</link>
    <description><![CDATA[Migrating from Hadoop to Teradata enhances AI/ML and generative AI capabilities, offering strategic benefits and efficiency improvements.]]></description>
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    <pubDate>Tue, 01 Sep 2026 07:00:00 GMT</pubDate>
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