<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Governance on SoloSoft</title><link>https://www.solosoft.dev/tags/data-governance/</link><description>Recent content in Data Governance on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/data-governance/index.xml" rel="self" type="application/rss+xml"/><item><title>Churchill Downs Incorporated Wins Key Lawsuit, Highlighting Conflict Between Tech Regulation and Industry Autonomy</title><link>https://www.solosoft.dev/trends/2026-04-02-churchill-downs-incorporated-statement-regarding-u/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/2026-04-02-churchill-downs-incorporated-statement-regarding-u/</guid><description>&lt;h2 id="why-is-this-horse-racing-lawsuit-a-bellwether-for-the-tech-industry"&gt;Why Is This &amp;ldquo;Horse Racing Lawsuit&amp;rdquo; a Bellwether for the Tech Industry?&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Answer Capsule:&lt;/strong&gt; Because the core of this case has evolved from traditional horse racing regulation to a debate over &amp;ldquo;who has the authority to regulate and impose fees on technology-driven industry activities.&amp;rdquo; HISA attempted to implement a unified fee based on prize money weighting, essentially imposing a &amp;ldquo;tech regulation tax&amp;rdquo; on an industry heavily reliant on AI analysis, biometric sensors, and big data. The court&amp;rsquo;s rejection effectively gives a green light to industry-autonomous technology investment paths.&lt;/p&gt;
&lt;p&gt;On the surface, this appears to be a legal dispute over the reasonableness of fees charged by a horse racing regulatory body. But peeling back the layers reveals a deeper industry narrative: the inevitable clash between a traditional industry undergoing deep transformation through &lt;strong&gt;digitization and AI integration&lt;/strong&gt; and a new regulatory system attempting to establish uniform standards. Churchill Downs Incorporated is not just an event operator; it is a technology company—using &lt;strong&gt;computer vision&lt;/strong&gt; to monitor horse gait, leveraging &lt;strong&gt;sensor networks&lt;/strong&gt; to collect track data, and employing &lt;strong&gt;algorithmic models&lt;/strong&gt; to predict event risks and betting patterns.&lt;/p&gt;</description></item><item><title>Qlik Agentic AI Launch: Enterprise Agents, Trust, and ServiceNow</title><link>https://www.solosoft.dev/trends/2026-04-17-qlik-debuts-new-agentic-capabilities-aiming-to-enh/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/2026-04-17-qlik-debuts-new-agentic-capabilities-aiming-to-enh/</guid><description>&lt;h2 id="has-the-ai-reckoning-arrived-for-enterprises-why-is-qlik-doubling-down-on-trustworthy-ai-now"&gt;Has the AI Reckoning Arrived for Enterprises? Why Is Qlik Doubling Down on &amp;ldquo;Trustworthy AI&amp;rdquo; Now?&lt;/h2&gt;
&lt;p&gt;Yes, and it&amp;rsquo;s coming faster than many anticipated. The &amp;ldquo;AI reckoning&amp;rdquo; mentioned by Qlik CEO Mike Capone is not alarmist rhetoric but the harsh reality countless CIOs are facing: according to Gartner research, by the end of 2025, over 60% of enterprise AI projects failed to deliver expected business value, with nearly 80% of those failures attributed to &amp;ldquo;distrust in AI outputs&amp;rdquo; and &amp;ldquo;data infrastructure unable to support them.&amp;rdquo; Qlik&amp;rsquo;s latest launch precisely targets this multi-billion-dollar trust gap, attempting to reposition itself from a data visualization tool into the core engine for &amp;ldquo;trusted decision-making&amp;rdquo; in enterprises.&lt;/p&gt;</description></item></channel></rss>