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    <description>Governed AI analytics insights from Edilitics.</description>
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      <title>Decision Intelligence Told Me What to Do. It Couldn&apos;t Tell Me Why.</title>
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      <pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate>
      <author>Raoul Pinto</author>
      <description>Most AI analytics tools tell you what to do. AskEdi now tells you why the problem exists and what changes when you have a diagnosis before the recommendation.</description>
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      <title>Anonymizing Your Data Isn&apos;t Free. Here&apos;s What It Actually Costs.</title>
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      <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
      <author>Mihir Sanchala</author>
      <description>Anonymizing column names before sending schema to an AI is standard advice. What most teams miss: the AI still has to understand your data somehow, and anonymization changes what that costs.</description>
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      <title>Why One AI Model Isn&apos;t Enough for Trustworthy Analytics</title>
      <link>https://edilitics.com/blog/why-one-ai-model-isnt-enough</link>
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      <pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate>
      <author>Mihir Sanchala</author>
      <description>A 2026 benchmark across 37 LLMs found hallucination rates between 15% and 52%. Single-model analytics pipelines inherit that variance. Here&apos;s why a two-stage architecture - Classifier then Synthesizer - produces deterministic, trustworthy answers.</description>
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      <title>Why Your AI Analytics Tool Doesn&apos;t Know Your Business</title>
      <link>https://edilitics.com/blog/your-ai-analytics-tool-doesnt-know-your-business</link>
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      <pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate>
      <author>Mihir Sanchala</author>
      <description>49% of organizations don&apos;t trust AI-generated insights. The reason isn&apos;t the model - it&apos;s that the AI has never been told what your columns actually mean. Here&apos;s how to fix it.</description>
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      <title>Why Self-Serve Analytics Fails (And What Works)</title>
      <link>https://edilitics.com/blog/why-self-serve-analytics-fails</link>
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      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <author>Raoul Pinto</author>
      <description>80% of data governance initiatives fail by 2027, says Gartner. The reason isn&apos;t the tool - it&apos;s ungoverned data. Here&apos;s what governance actually means and how to fix it.</description>
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      <title>Anthropic Published How They Built AI Analytics. Here&apos;s What We Found.</title>
      <link>https://edilitics.com/blog/anthropic-validated-ai-analytics-architecture</link>
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      <pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate>
      <author>Edilitics</author>
      <description>Anthropic&apos;s engineering team published the internal architecture they built to make AI analytics trustworthy. The four decisions they made are the same four decisions Edilitics is built on.</description>
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      <title>Why We Built What Nobody Wanted to Build.</title>
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      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <author>Raoul Pinto</author>
      <description>The NCeG conference. The second AI reckoning. Building AskEdi. The decision not to launch. Five years later, what it actually means.</description>
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      <title>I Asked for a Resource. He Saw Something Else.</title>
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      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <author>Raoul Pinto</author>
      <description>In early 2024 I wasn&apos;t looking for a co-founder. I didn&apos;t think I was in a position to ask. This is what happened in the week Mihir Sanchala said yes anyway.</description>
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      <title>The Proof of Concept Worked. Then the World Changed.</title>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
      <author>Raoul Pinto</author>
      <description>Two and a half years. Two interns. One question nobody had answered. Then ChatGPT arrived and I spent three months wondering if any of it still mattered.</description>
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      <title>The 90/10 Problem Nobody in Data Talks About</title>
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      <pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate>
      <author>Raoul Pinto</author>
      <description>A decade in retail and growth taught me how to read a business. It didn&apos;t give me access to my own data. That gap became Edilitics.</description>
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