The Benefits of Data Governance - Background
Gartner puts the average annual cost of poor data quality at USD 12.9 million per organization. The figure is large enough to feel abstract, and that is part of the problem. The cost arrives in small...
What Is Data Governance - Background
Your company already governs its data. The question is whether anyone wrote the rules down. Every company has data governance. In most mid-sized firms, it lives in the heads of three or four people who know...
Why Are LLMs Weaker in Hungarian - Background
On a Hungarian factual question set, GPT-4o answers roughly half the questions correctly. The same class of model is far ahead of that in English. The gap is structural, it has four separate causes, and it...
What the EU AI Act Means in Practice - Background
The EU AI Act is the world's first comprehensive law on artificial intelligence, and it reaches further than most executives expect. If your company builds, buys, or simply uses an AI system whose results touch anyone...
Which Customer Record Is the Real One - Background
Poor data quality costs the average organisation $12.9 million a year, according to Gartner. For a wholesaler, a large share of that bill begins with one quiet problem: the same customer lives in several systems, and...
What Does an AI Project Really Cost - Background
Over the past few years, I have guided several Hungarian companies through their AI implementations, and one pattern shows up almost every time: by the end of the project, the cost exceeds the quoted amount. The...
Mi tartja vissza a cégét a mesterséges intelligencia bevezetésétől - Background
The technology exists. It is affordable. For a growing share of companies, it already pays for itself. So the honest question for any leader in 2026 points inward: what keeps your company from moving? The technology...
Beyond Computer Vision​ - Background
If a system can already interpret images, the obvious question arises: why is video needed at all? Why not rely on still frames? The answer is straightforward: real-world operations are not static. They unfold over time....
What is Computer Vision - Background
At its core, Computer Vision is a field of artificial intelligence that enables machines to interpret visual data: images, videos, and live camera feeds. Humans process visual information instantly and intuitively. A warehouse scene, a production...
AI Search_Turning Organizational Knowledge into Confident Decisions - Background
A familiar situation: A question comes in. Time is limited. The answer carries risk, responsibility, or financial impact. There is no room for uncertainty — and no time to search through folders, documents, or email threads....
The State of OCR Technology
OCR—short for Optical Character Recognition, the technology that converts scanned or photographed text into a digital format that machines can read—has improved significantly in recent years. Thanks to transformer models and newer multimodal approaches, today’s leading...
RAG - Retrieval-Augmented Generation - Background
One of the biggest challenges users face with AI tools is AI hallucinations. AI hallucinations are responses created by the AI to satisfy the user, even when they are not based on facts. These hallucinations often...
IDP - Intelligent Document Processing - Background
Intelligent Document Processing (IDP) is not just a solution; it's a transformative force poised to redefine how traditional business documents are handled. It can convert documents from static and unstructured to dynamic and easily processable at...
What is NLP? - Background
You are constantly exposed to text—emails, reports, contracts, chat messages, documentation, and presentations. Natural Language Processing (NLP) is a set of methods and tools designed to help you manage and understand all this text more efficiently....
Cloud or On-Premise AI - Background
Choosing between cloud and on-premise AI is a long-term business decision. How your company decides to deploy AI will directly affect cost stability, data control, compliance risks, and how quickly the technology can deliver real value....
AI data privacy risks - Background
From our experience at Omnit, we know that for companies, AI data security isn’t just a back-end concern. It’s a governance issue—one that affects compliance, trust, and the ability to keep the business running. Decisions about...
The Secret Life of LLM_How AI Actually Works - Background
You're constantly exposed to text — emails, reports, contracts, chat messages, documentation, and presentations. Large Language Models (LLMs) are tools created to help manage large amounts of text more easily. They can assist you in summarizing,...
Understanding ROI in AI Projects - Background
AI projects often fail not because of technology issues, but due to a misunderstanding of ROI. When companies discuss return on investment (ROI) in AI, they often focus mainly on cost savings. Based on our fifteen...
Artificial Intelligence Explained - Background
AI is frequently reduced to whatever tool is most visible at the moment— today, that usually means ChatGPT. That shorthand is convenient, but for organizations, it can quietly distort how AI-related decisions are made. This article...
The Key Steps to a Successful AI Implementation - Background
AI promises efficiency, deeper insights, and new opportunities. But for many companies, that potential is still just out of reach. Based on our experience at Omnit with implementing AI modules and managing AI-focused projects, we know...