<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Science on Romano Roth</title><link>https://romanoroth.com/en/tags/data-science/</link><description>Recent content in Data Science on Romano Roth</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Romano Roth</copyright><lastBuildDate>Mon, 05 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://romanoroth.com/en/tags/data-science/index.xml" rel="self" type="application/rss+xml"/><item><title>Unlocking the Power of AI: Deep Dive into MLOps, Machine Learning, and AI Platforms</title><link>https://romanoroth.com/en/blogs/unlocking-the-power-of-ai-deep-dive-into-mlops/</link><pubDate>Mon, 05 Aug 2024 00:00:00 +0000</pubDate><guid>https://romanoroth.com/en/blogs/unlocking-the-power-of-ai-deep-dive-into-mlops/</guid><description>&lt;p>Have you ever wondered how companies build those impressive AI applications and keep them running reliably in production? In this video, I take a deep dive into MLOps, the discipline that makes it possible to continuously develop, deploy, and improve machine learning solutions at enterprise scale.&lt;/p></description></item></channel></rss>