<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Netvouz / lillymark / tag / predictive</title>
<link>http://netvouz.com/lillymark/tag/predictive?feed=rss&amp;pg=1</link>
<description>lillymark&#39;s bookmarks tagged &quot;predictive&quot; on Netvouz</description>
<item><title>Predicting Customer Interactions</title>
<link>http://247-inc.com/platform/PX-Architecture</link>
<description>Predicting customer interactions has never been simpler. 247’s predictive analytics solution coordinates customer interactions across all channels &amp; automates successfully customer journeys. PX automatically improve the experience with each interaction.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Fri, 07 Sep 2012 12:17:33 GMT</pubDate>
</item><item><title>Predicting Purchase Behavior - How We Do It</title>
<link>http://www.sdl.com/community/blog/details/27433/predicting-purchase-behavior-how-we-do-it</link>
<description>I&#39;m excited to share that SDL placed Silver for the Quality in Research Award at the ARF Great Mind Awards for measuring and predicting B2B customer commitment. To provide a bit more context behind this award, I&#39;ll explain more in-depth the work that led up to predicting customer commitment and why it&#39;s crucial to implement predictive analytics into business strategies.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Fri, 12 Apr 2013 04:57:48 GMT</pubDate>
</item><item><title>Predictive &amp; Proactive Service Chat</title>
<link>http://247-inc.com/platform/PX-Assist</link>
<description>247’s predictive service chat, offers an intelligent interaction platform via chat and voice assistance. Through predictive analytics &amp; smart routing, it Improves efficiency by enabling agents to leverage knowledge bases &amp; enhances customer satisfaction.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Mon, 10 Sep 2012 04:58:35 GMT</pubDate>
</item><item><title>Predictive Analytics for Predicting Customer Interactions</title>
<link>http://247-inc.com/platform/PX-Architecture</link>
<description>The Predictive Experience (PX) platform from [24]7 is the predictive analytics solution that automates customer journeys across all major self-service channels. PX automatically learns from each interaction to improve the experience for the next interaction</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Fri, 30 Nov 2012 10:50:44 GMT</pubDate>
</item><item><title>Predictive Analytics Solutions</title>
<link>http://www.glassbeam.com/predictive-analytics-solutions.php</link>
<description>Glassbeam’s predictive analytics solutions helps organizations to gain understanding of their current information &amp; identify weak links to reduce warranty costs. The predictive analytics services allow engineering teams to focus on product development and on intelligent roadmap creation.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Tue, 18 Sep 2012 03:16:36 GMT</pubDate>
</item><item><title>Predictive Customer Experience Solutions</title>
<link>http://247-inc.com/platform</link>
<description>247-Inc.’s predictive customer experience, (PX) platform is the first to deliver an unmatched end-to-end experience across online, speech &amp; mobile channels. Providing predictive customer experience solutions, it leverages customers to be more confident.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Mon, 27 Aug 2012 11:38:38 GMT</pubDate>
</item><item><title>Predictive Experience Platform</title>
<link>http://247-inc.com/platform</link>
<description>“[24]7’s Predictive Experience (PX) platform is the first to deliver an unparalleled end-to-end experience across online, speech and mobile channels.  By leveraging PX your customers become more confident utilizing self-service, live chat or voice.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Wed, 28 Nov 2012 05:17:06 GMT</pubDate>
</item><item><title>Predictive Experience Platform</title>
<link>http://www.247-inc.com/products</link>
<description>[24]7 Predictive Experience Platform uses big data, prediction, and real-time decisioning to deliver better sales and customer service outcomes across your online, mobile, and voice channels.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Tue, 29 Jan 2013 04:47:23 GMT</pubDate>
</item><item><title>Register for 30 August Free Webinar on Using Predictive Analytics</title>
<link>http://www.computer.org/portal/web/pressroom/Register-for-30-August-Free-Webinar-on-Using-Predictive-Analytics</link>
<description>On Thursday, 30 August 30, at 2 p.m. EDT, IBM&#39;s Walker Royce and Murray Cantor will discuss how to use predictive analytics to manage complexity. To register for the webinar, visit http://event.on24.com/r.htm?e=501495&amp;s=1&amp;k=7FB65020D76986B4817FC214360757BE.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Wed, 22 Aug 2012 07:27:18 GMT</pubDate>
</item><item><title>Seapine and IEEE Computer Society Present Webinar: Predictive Metrics Drive Successful Product Releases</title>
<link>http://www.computer.org/portal/web/pressroom/Seapine-Software-Webinar</link>
<description>LOS ALAMITOS, Calf., 9 May 2013 – Benchmark studies show that 40 percent of the average product development team&#39;s effort is wasted on unproductive rework.To register for the free webinar, visit http://www.computer.org/portal/web/webinars/Seapine-Software</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Mon, 13 May 2013 08:05:21 GMT</pubDate>
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