<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[mysite]]></title><description><![CDATA[mysite]]></description><link>https://www.deepstrategies.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Wed, 23 Sep 2026 15:46:54 GMT</lastBuildDate><atom:link href="https://www.deepstrategies.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Getting the Most Value from AI]]></title><description><![CDATA[Have you noticed how much the conversation around AI has changed? Not long ago, the question was “Which model should we use?” Now, I’m hearing a different question: “Where will AI actually create the most value for our business?” That’s a sign the conversation is evolving. The technology will keep improving. Models will get better, faster and cheaper. But that’s becoming less interesting than knowing where to apply AI and how to do it responsibly. In banking for example, not every problem...]]></description><link>https://www.deepstrategies.com/post/getting-the-most-value-from-ai</link><guid isPermaLink="false">6ab3cc94cb2c5cb708d3a98a</guid><pubDate>Wed, 23 Sep 2026 13:04:16 GMT</pubDate><dc:creator>markdeep</dc:creator></item></channel></rss>