<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Competitive Analysis on SoloSoft</title><link>https://www.solosoft.dev/tags/competitive-analysis/</link><description>Recent content in Competitive Analysis on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/competitive-analysis/index.xml" rel="self" type="application/rss+xml"/><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><item><title>The AI Service Resilience Behind Google Gemini's Stable Operation and the New No</title><link>https://www.solosoft.dev/trends/2026-04-11-is-google-gemini-down-no-major-outage-reported-as-/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/2026-04-11-is-google-gemini-down-no-major-outage-reported-as-/</guid><description>&lt;h2 id="why-no-news-is-the-most-important-industry-news"&gt;Why &amp;ldquo;No News&amp;rdquo; Is the Most Important Industry News&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Direct Answer:&lt;/strong&gt; Three years into the explosive growth of AI, market expectations regarding service disruptions have shifted from &amp;ldquo;When will it break?&amp;rdquo; to &amp;ldquo;It actually didn&amp;rsquo;t break?&amp;rdquo; Gemini&amp;rsquo;s stable performance on an ordinary Saturday is not accidental; it is a signal of the initial success of Google&amp;rsquo;s strategy to &amp;ldquo;infrastructuralize&amp;rdquo; AI services. This signifies that AI is transitioning from a cutting-edge technological product to a core service expected to be available at all times, much like electricity or the internet.&lt;/p&gt;
&lt;p&gt;When we are no longer amazed by ChatGPT or Gemini&amp;rsquo;s ability to generate a poem, but instead demand they never fail when handling corporate quarterly reports, providing real-time translation for cross-border meetings, or controlling smart factory production lines, the industry&amp;rsquo;s rules of the game have fundamentally changed. According to Gartner&amp;rsquo;s forecast at the end of 2025, by 2027, over 60% of enterprises will prioritize &amp;ldquo;Service Level Agreement (SLA) achievement rate&amp;rdquo; and &amp;ldquo;historical uptime&amp;rdquo; over &amp;ldquo;latest model version&amp;rdquo; when selecting AI vendors. This is a fundamental shift: from pursuing the cutting edge to pursuing reliability.&lt;/p&gt;</description></item></channel></rss>