<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>AI Agent on Federico Venturin</title><link>https://fventurin.com/tags/ai-agent/</link><description>Recent content in AI Agent on Federico Venturin</description><generator>Hugo -- 0.139.4</generator><language>en-us</language><copyright>2026 Federico Venturin. The statements and opinions expressed here are my own and do not necessarily represent those of Oracle Corporation.</copyright><lastBuildDate>Sat, 09 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://fventurin.com/tags/ai-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>The Conversational Experience in Oracle Analytics</title><link>https://fventurin.com/articles/oracle-analytics-conversational-experience/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://fventurin.com/articles/oracle-analytics-conversational-experience/</guid><description>&lt;p>Asking questions in natural language and receiving coherent, contextual answers is no longer seen as futuristic; it is becoming habitual and increasingly embedded across applications, from search and analytics to customer support and productivity tools. This shift is fundamentally reshaping how people engage with data and technology, setting the stage for more intuitive, accessible, and pervasive conversational experiences.&lt;/p>
&lt;p>In the past, I wrote about the &lt;a href="../oracle-analytics-ai-assistant">Oracle Analytics AI Assistant&lt;/a> with a fair amount of skepticism. In this article, I take a closer look at how it has evolved since then and how these advancements have reshaped my initial judgment.&lt;/p></description></item></channel></rss>