<?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[author results for Kesby, Matt]]></title><description><![CDATA[author results for Kesby, Matt]]></description><link>https://gateway.bibliocommons.com/v2/libraries/vaughanpl/rss/search?query=Kesby%2C%20Matt&amp;searchType=author&amp;origin=core-catalog-explore&amp;view=grouped</link><generator>RSS for Node</generator><lastBuildDate>Mon, 20 Apr 2026 00:37:04 GMT</lastBuildDate><item><title><![CDATA[Untangling AI]]></title><description><![CDATA[In Untangling AI: Driving Business Success Through Enterprise Automation and AI Agents, founder and Chief AI Officer at Multiplai Tech, Matt Kesby, delivers an incisive roadmap for business leaders interested in assessing where their companies stand in the AI adoption lifecycle and where they want to go. Kesby explains how to rethink your current operational model and how to replace traditional workflows with AI-powered decision-making and execution. You'll discover insights and examples that demonstrate how to build the four key foundations of your organization's AI adoption plan: strategy, execution, people, and technology. You'll learn how to use agentic AI technology to run entire businesses processes and automate important parts of your operations.]]></description><link>https://vaughanpl.bibliocommons.com/v2/record/S130C753136</link><guid isPermaLink="true">https://vaughanpl.bibliocommons.com/v2/record/S130C753136</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Kesby, Matt]]></dc:creator><pubDate>Sat, 31 Jan 2026 00:00:00 GMT</pubDate><comments>https://vaughanpl.bibliocommons.com/item/comment/753136130</comments><format>BK</format><subtitle>Driving Business Success Through Enterprise Automation and AI Agents</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781394394388/MC.GIF&amp;client=vaugp&amp;type=xw12&amp;oclc=</image_url></item></channel></rss>