A DMS-bevezetés után néhány hónappal szinte minden szervezetben ugyanaz a kép alakul ki. Az OCR fut, a dokumentumok bekerülnek a rendszerbe, az automatizáció papíron megvan. A validációs sor mégsem ürül ki. Van egy kolléga (vagy kettő), aki naponta megnézi, javítja, továbbküldi. A folyamat működik, de nem úgy, ahogy tervezték. A csere ilyenkor nem opció. Egy Details
At a private healthcare institution, surgical scheduling, patient data, and resource management were scattered across various tools: shared spreadsheets for bookings, a common calendar for surgery dates, and manual email communication with patients. Administrators and doctors worked in parallel, often using inconsistent data. Statistics could only be compiled manually, a task for which there was Details
The article was adapted from the blog of Tamás Bódis, Nitrowise Head of AI and BigData. Note: All application names, SAMU IDs, key aliases, consumer names, and other potentially sensitive identifiers in this post have been obfuscated or replaced with fictional examples. Any similarity to actual system identifiers is purely coincidental. When “Simple Questions” Aren’t Simple At Details
The article was adapted from the blog of Tamás Bódis, Nitrowise Head of AI and BigData. The Speed Problem I Created Remember when we thought AI would solve all our coding problems? We’d generate features at lightning speed, ship faster, and finally have time for that refactoring we’ve been postponing since 2019. Reality had other plans. Details
The article was adapted from the blog of Tamás Bódis, Nitrowise Head of AI and BigData. The productivity narrative around AI coding tools misses a critical detail: Georgetown CSET’s analysis found exploitable vulnerabilities in 48% of code from major LLMs—a rate that hasn’t improved in two years. METR’s controlled study showed experienced developers actually slowed down 19% using Claude Details
We believe artificial intelligence has now entered almost every area of our daily lives. It’s clear that tasks related to information processing and analytics are ideal use cases, and AI’s capabilities can be confidently relied upon. Human resources is one of the business domains where expectations toward AI are especially high. Let’s take a look Details
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