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    <title>InfoQ - Generative AI - News</title>
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    <description>InfoQ Generative AI News feed</description>
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      <title>Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines</title>
      <link>https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/target-ai-campaign-forecasting/en/headerimage/generatedHeaderImage-1780529558601.jpg"/&gt;&lt;p&gt;Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddings, vector search, and LLM ranking, it replaces rule-based workflows. Evaluation shows 75% top-1 and 100% top-3 coverage. The system reduces manual effort, improves consistency, and uses feedback loops to refine retrieval using campaign outcomes.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Systems Thinking</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Large Concept Models</category>
      <category>vector databases</category>
      <category>Data Analytics</category>
      <category>Observability</category>
      <category>Evolutionary Architecture</category>
      <category>MLOps</category>
      <category>Machine Learning</category>
      <category>Marketing</category>
      <category>Generative AI</category>
      <category>Model Fine Tuning</category>
      <category>Business Analytics</category>
      <category>Architecture &amp; Design</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 29 Jun 2026 14:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-29T14:26:00Z</dc:date>
      <dc:identifier>/news/2026/06/target-ai-campaign-forecasting/en</dc:identifier>
    </item>
    <item>
      <title>AWS Previews FinOps Agent for Cost Analysis and Optimization</title>
      <link>https://www.infoq.com/news/2026/06/aws-finops-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-finops-agent/en/headerimage/generatedHeaderImage-1781884717104.jpg"/&gt;&lt;p&gt;Amazon has released AWS FinOps Agent in public preview, a managed service that automates several common FinOps workflows. The agent can investigate cost anomalies, correlate spend changes with AWS activity data, and integrate with tools such as Slack and Jira to route findings to resource owners.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>Cloud</category>
      <category>Generative AI</category>
      <category>FinOps</category>
      <category>AWS</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 28 Jun 2026 05:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-finops-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-news</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-28T05:55:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-finops-agent/en</dc:identifier>
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