<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ServiceNow on SoloSoft</title><link>https://www.solosoft.dev/tags/servicenow/</link><description>Recent content in ServiceNow on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/servicenow/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>ServiceNow Fully AI-Enabled Product Line： Enterprise Automation Enters the New E</title><link>https://www.solosoft.dev/trends/2026-04-10-servicenow-says-its-ai-enabling-its-entire-product/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/2026-04-10-servicenow-says-its-ai-enabling-its-entire-product/</guid><description>&lt;h2 id="from-ai-add-on-to-ai-native-is-this-just-marketing-hype-or-a-true-paradigm-shift"&gt;From &amp;lsquo;AI Add-on&amp;rsquo; to &amp;lsquo;AI-Native&amp;rsquo;: Is This Just Marketing Hype or a True Paradigm Shift?&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Answer Capsule:&lt;/strong&gt; This is not hype but an urgent architectural revolution. Over the past three years, more than 70% of enterprise AI investments have remained in experimentation and point solutions, failing to deliver substantial operational efficiency. ServiceNow&amp;rsquo;s move elevates AI from a &amp;lsquo;feature&amp;rsquo; to &amp;lsquo;infrastructure,&amp;rsquo; and its success will determine the ceiling of enterprise automation for the next five years.&lt;/p&gt;
&lt;p&gt;When we hear the term &amp;lsquo;AI-enabling,&amp;rsquo; our first reaction is often skepticism—is this just another overused tech marketing buzzword? However, ServiceNow&amp;rsquo;s announcement carries a harsh industry reality: according to Gartner&amp;rsquo;s report, by 2025, &lt;strong&gt;over 80% of enterprise AI projects will stall or fail due to integration complexity and unclear ROI&lt;/strong&gt;. The root cause is not that AI models are not smart enough, but that the enterprise IT environment itself is a &amp;lsquo;Tower of Babel&amp;rsquo; built from hundreds of applications, data silos, and incompatible security protocols.&lt;/p&gt;</description></item></channel></rss>