<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Knowledge Graphs BFSI on</title><link>https://dasarpai.github.io/tags/knowledge-graphs-bfsi/</link><description>Recent content in Knowledge Graphs BFSI on</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>hari@dasarpai.com (Dr. Hari Thapliyaal)</managingEditor><webMaster>hari@dasarpai.com (Dr. Hari Thapliyaal)</webMaster><copyright>© 2026 Dr. Hari Thapliyaal</copyright><lastBuildDate>Wed, 06 Aug 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://dasarpai.github.io/tags/knowledge-graphs-bfsi/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Hallucinations in BFSI - A Comprehensive Guide</title><link>https://dasarpai.github.io/dsblog/ai-hallucination-bfsi-comprehensive-guide/</link><pubDate>Wed, 06 Aug 2025 00:00:00 +0000</pubDate><author>hari@dasarpai.com (Dr. Hari Thapliyaal)</author><guid>https://dasarpai.github.io/dsblog/ai-hallucination-bfsi-comprehensive-guide/</guid><description>&lt;p>
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&lt;h1 class="relative group">AI Hallucinations in the BFSI Domain - A Comprehensive Guide
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&lt;h2 class="relative group">Introduction
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&lt;p>Artificial Intelligence (AI) is rapidly transforming the Banking, Financial Services, and Insurance (BFSI) sector. From automated underwriting and fraud detection to client servicing through intelligent chatbots, the adoption of large language models (LLMs) and generative AI has opened new frontiers. However, alongside this innovation lies a subtle but significant risk: AI hallucinations — instances where AI models generate plausible-sounding but factually incorrect or entirely fabricated information.&lt;/p></description></item></channel></rss>