<?xml-stylesheet type="text/xsl" href="https://community.cadence.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Reducing the Risk of Change in Data Centers</title><link>/cadence_blogs_8/b/data-center/posts/reducing-the-risk-of-change-in-data-centers</link><description>The increase in data from new applications, such as machine learning (ML) and artificial intelligence (AI), requires more powerful systems. These systems present a complex thermal challenge for the data center because operators must account for exist</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator></channel></rss>