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    <title>Karthik Ravva on TLDRecap ⏮️</title>
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      <title>Cloud-Native Data Lifecycle Governance for Trusted AI &amp; BI | Karthik Ravva | Conf42 Cloud 2026</title>
      <link>https://development.tldrecap.tech/posts/2026/conf42-cloud/data-governance-critical-ai-engineering-discipline/</link>
      <pubDate>Thu, 23 Apr 2026 11:30:06 -0700</pubDate>
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      <description>&lt;p&gt;&lt;strong&gt;Presenters&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
  &lt;li&gt;
    &lt;a href=&#34;https://development.tldrecap.tech/presenters/karthik-ravva&#34;&gt;Karthik Ravva&lt;/a&gt;
  &lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Source&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
  &lt;li&gt;
    &lt;a href=&#34;https://development.tldrecap.tech/sources/conf42-cloud-2026&#34;&gt;Conf42 Cloud 2026&lt;/a&gt;
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&lt;h1 id=&#34;-stop-building-messy-ai-why-data-governance-is-your-most-critical-engineering-discipline&#34;&gt;🛡️ Stop Building &amp;ldquo;Messy&amp;rdquo; AI: Why Data Governance is Your Most Critical Engineering Discipline&lt;/h1&gt;
&lt;p&gt;In the high-stakes world of utility management, a single prediction error can
leave thousands in the dark. Karthik Ravva, a Senior Product Manager at Austin
Energy, recently shared a sobering story: a major utility deployed a
sophisticated AI model to predict power outages. It had all the bells and
whistles—smart meters, real-time weather feeds, and historical data.&lt;/p&gt;</description>
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