<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pratik Patel on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/pratik-patel/</link><description>Articles written by Pratik Patel on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 28 Apr 2025 15:53:25 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/pratik-patel/index.xml" rel="self" type="application/rss+xml"/><item><title>Foojay Webinar: Java's Place in the AI Revolution</title><link>https://foojayio.github.io/website/today/foojay-webinar-live-stream-javas-place-in-the-ai-revolution/</link><pubDate>Mon, 28 Apr 2025 15:53:25 +0000</pubDate><guid>https://foojayio.github.io/website/today/foojay-webinar-live-stream-javas-place-in-the-ai-revolution/</guid><description>&lt;p&gt;This first online Foojay Webinar highlights Java&amp;rsquo;s place in the AI revolution, focusing on exploring AI/ML using pure Java tools.&lt;/p&gt;
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&lt;p&gt;AI and Machine Learning (ML) are becoming essential in modern software development. For Java developers, there&amp;rsquo;s no need to switch technology stacks. It&amp;rsquo;s now possible to build, train, and deploy ML models using tools available directly within the Java ecosystem.&lt;/p&gt;</description></item><item><title>Register for Foojay Webinar: "Java's Place in the AI Revolution"</title><link>https://foojayio.github.io/website/today/webinar-java-ai/</link><pubDate>Wed, 09 Apr 2025 13:15:20 +0000</pubDate><guid>https://foojayio.github.io/website/today/webinar-java-ai/</guid><description>&lt;p&gt;&lt;strong&gt;This first online Foojay Webinar will highlight Java&amp;rsquo;s place in the AI Revolution, focusing on Exploring AI/ML Using Pure Java Tools.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;AI and Machine Learning (ML) are becoming essential in modern software development. For Java developers, there&amp;rsquo;s no need to switch technology stacks. It&amp;rsquo;s now possible to build, train, and deploy ML models using tools available directly within the Java ecosystem.&lt;/p&gt;
&lt;p&gt;This webinar focuses on practical predictive AI/ML approaches in pure Java. We&amp;rsquo;ll walk through key Java libraries, show how to structure and train models, and discuss how Java&amp;rsquo;s core strengths, ie, JVM performance, type safety, and enterprise integration, can be used to build scalable AI solutions.&lt;/p&gt;</description></item><item><title>Foojay Podcast #59: DevRel Explained!</title><link>https://foojayio.github.io/website/today/foojay-podcast-59/</link><pubDate>Mon, 21 Oct 2024 10:42:21 +0000</pubDate><guid>https://foojayio.github.io/website/today/foojay-podcast-59/</guid><description>&lt;p&gt;&lt;strong&gt;What do people who have Developer Relations as their job description do? And how do you become a conference speaker? You&amp;rsquo;ll learn in this Foojay podcast!&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;At Devoxx in Belgium, I got to talk to Josh Long, Baruch, Pratik Patel, and Roni Dover, who were on the stage because it was part of their job. They shared many tips about being a DevRel and the many tasks involved in such a job.&lt;/p&gt;</description></item></channel></rss>