<?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>Blogs on Data For XYZ</title><link>https://www.datafor.xyz/blog/</link><description>Recent content in Blogs on Data For XYZ</description><image><title>Data For XYZ</title><url>https://www.datafor.xyz/wp-content/uploads/2025/10/Banner_image.jpg</url><link>https://www.datafor.xyz/wp-content/uploads/2025/10/Banner_image.jpg</link></image><generator>Hugo -- 0.152.2</generator><language>en-US</language><lastBuildDate>Thu, 10 Oct 2024 10:00:00 +0000</lastBuildDate><atom:link href="https://www.datafor.xyz/blog/feed.xml" rel="self" type="application/rss+xml"/><item><title>Case Study: From 150 Fields to 2 Decisions</title><link>https://www.datafor.xyz/blog/case-study-data-normalization/</link><pubDate>Thu, 10 Oct 2024 10:00:00 +0000</pubDate><guid isPermaLink="false">https://www.datafor.xyz/blog/case-study-data-normalization/</guid><description>How we automated customer record processing across 5 enterprise systems, reducing deal processing from 4 hours to 15 minutes.</description></item><item><title>Case Study: Natural Language Property Search Without LLM Overhead</title><link>https://www.datafor.xyz/blog/case-study-real-estate-search/</link><pubDate>Fri, 20 Sep 2024 10:00:00 +0000</pubDate><guid isPermaLink="false">https://www.datafor.xyz/blog/case-study-real-estate-search/</guid><description>How we built a deterministic NLP system for real estate search that processes natural language queries in milliseconds without hallucinations.</description></item><item><title>Case Study: Orchestrating 10 Million Emails Across 5 Systems</title><link>https://www.datafor.xyz/blog/case-study-marketing-at-scale/</link><pubDate>Thu, 15 Aug 2024 10:00:00 +0000</pubDate><guid isPermaLink="false">https://www.datafor.xyz/blog/case-study-marketing-at-scale/</guid><description>How we built a bespoke automation system to scale email campaigns from 100K to 10 million daily while maintaining compliance and revenue attribution.</description></item><item><title>The Hidden Dangers of Connecting Large Language Models to Other Applications</title><link>https://www.datafor.xyz/blog/the-hidden-dangers-of-connecting-large-language-models-to-other-applications/</link><pubDate>Thu, 09 Mar 2023 03:52:47 +0000</pubDate><guid isPermaLink="false">https://www.datafor.xyz/blog/the-hidden-dangers-of-connecting-large-language-models-to-other-applications/</guid><description>As artificial intelligence continues to evolve, connecting LLMs to other applications can pose potential security risks. Learn about hidden dangers and attack vectors.</description></item><item><title>AI's Confabulations: A Better Term for Hallucinations and How to Minimize Them</title><link>https://www.datafor.xyz/blog/ais-confabulations-a-better-term-for-hallucinations-and-how-to-minimize-them/</link><pubDate>Wed, 01 Mar 2023 05:10:50 +0000</pubDate><guid isPermaLink="false">https://www.datafor.xyz/blog/ais-confabulations-a-better-term-for-hallucinations-and-how-to-minimize-them/</guid><description>The rapid advancement of AI systems has brought both excitement and concerns. Learn how to minimize AI confabulations through prevention, correction, and optimization strategies.</description></item></channel></rss>