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      <title>AI-Wiki</title>
      <link>https://businessdatasolutions.github.io/ai-wiki</link>
      <description>Last 10 notes on AI-Wiki</description>
      <generator>Quartz -- quartz.jzhao.xyz</generator>
      <item>
    <title>automation-vs-augmentation</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/concepts/automation-vs-augmentation</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/concepts/automation-vs-augmentation</guid>
    <description><![CDATA[ Automation vs. ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>enterprise-ai-adoption</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/concepts/enterprise-ai-adoption</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/concepts/enterprise-ai-adoption</guid>
    <description><![CDATA[ Enterprise AI Adoption The pace, depth, and pattern by which organizations integrate AI into their business functions, processes, and products. ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>generative-ai</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/concepts/generative-ai</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/concepts/generative-ai</guid>
    <description><![CDATA[ Generative AI AI systems that produce novel content (text, images, code, video, audio) by sampling from learned distributions over training data. ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>micro-productivity-trap</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/concepts/micro-productivity-trap</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/concepts/micro-productivity-trap</guid>
    <description><![CDATA[ Micro-Productivity Trap A failure pattern in enterprise AI deployment, named in Dutt, Rapoport, Chatterji, Weeratunga &amp; Satcher (2026). ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>Deep Nishar</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/entities/Deep-Nishar</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/entities/Deep-Nishar</guid>
    <description><![CDATA[ Deep Nishar Technologist and investor. Senior product executive at Google (2003–2008); chief product officer at LinkedIn (2009–2014). ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>Harvard Business Review</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/entities/Harvard-Business-Review</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/entities/Harvard-Business-Review</guid>
    <description><![CDATA[ Harvard Business Review Harvard Business Review (HBR) is the management magazine published by Harvard Business Publishing, an affiliate of Harvard Business School. ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>Nitin Nohria</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/entities/Nitin-Nohria</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/entities/Nitin-Nohria</guid>
    <description><![CDATA[ Nitin Nohria George F. Baker Jr. and Distinguished Service University Professor at Harvard. ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>index</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/</guid>
    <description><![CDATA[ Index The catalog of every page in this wiki. Updated on every ingest. See the design doc, §9.1 for format conventions. ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>log</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/log</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/log</guid>
    <description><![CDATA[ Log Append-only chronological record of wiki operations. Strict prefix format so grep &quot;^## \[&quot; wiki/log.md | tail -10 works as a CLI. ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
  </item><item>
    <title>The End of One-Size-Fits-All Enterprise Software</title>
    <link>https://businessdatasolutions.github.io/ai-wiki/sources/2026-05-05-nishar-nohria-end-of-one-size-fits-all</link>
    <guid>https://businessdatasolutions.github.io/ai-wiki/sources/2026-05-05-nishar-nohria-end-of-one-size-fits-all</guid>
    <description><![CDATA[ Nishar &amp; Nohria — The End of One-Size-Fits-All Enterprise Software TL;DR A practitioner HBR.org Digital article (23 April 2026) co-authored by Deep Nishar (technologist/investor; ex-Google senior product, ex-LinkedIn CPO) and Nitin Nohria (HBS professor; 10th Dean of Harvard Business School 2010... ]]></description>
    <pubDate>Tue, 05 May 2026 13:53:46 GMT</pubDate>
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