<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Optical character recognition (OCR) – M365.FM</title><link>https://www.m365.fm/entity/optical-character-recognition/</link><description>Technology that reads the characters visible in an image or document and turns them into machine-readable text, without by itself knowing what that text means.</description><language>en</language><item><title>Mastering Azure AI Search: Beyond Traditional Keyword Matching</title><link>https://www.m365.fm/community/u/mirko-p/blog/mastering-azure-ai-search-beyond-traditional-keyword-matching/</link><guid>https://www.m365.fm/community/u/mirko-p/blog/mastering-azure-ai-search-beyond-traditional-keyword-matching/</guid><pubDate>Thu, 27 Aug 2026 06:39:00 -0000</pubDate><category>article</category><description>Welcome to our deep dive into the world of cloud-based discovery and retrieval systems. If you have ever typed a query into a company intranet, e-commerce site, or …</description></item><item><title>Scaling Microsoft Copilot to 35 Million Pages: The Epstein Files</title><link>https://www.m365.fm/show/episodes/i-engineered-copilot-for-35-million-pages-the-epstein-files-challenge/</link><guid>https://www.m365.fm/show/episodes/i-engineered-copilot-for-35-million-pages-the-epstein-files-challenge/</guid><pubDate>Sun, 07 Jun 2026 00:00:00 -0000</pubDate><category>episode</category><description>In this episode, Mirko Peters explores one of the most ambitious experiments in enterprise AI: engineering Microsoft Copilot to analyze and reason across more than 35 million pages of highly complex and interconnected information, inspired by the scale and…</description></item><item><title>Use AI Form Fill in Power Apps for Faster Data Entry</title><link>https://www.m365.fm/show/episodes/fix-power-apps-data-entry-use-this-ai-agent/</link><guid>https://www.m365.fm/show/episodes/fix-power-apps-data-entry-use-this-ai-agent/</guid><pubDate>Mon, 03 Nov 2025 00:00:00 -0000</pubDate><category>episode</category><description>Power Apps forms turn knowledge workers into typists—rigid fields, copy-paste from emails/PDFs, and slow, error-prone decay that pollutes Dataverse, Power BI, and downstream automations. The fix isn’t more validation; it’s an interpreter: the AI Data Entry…</description></item></channel></rss>