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, drafting, rewriting,...
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...
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...
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...
On-Premise or Cloud OCR - Background
Choosing between on-premise and cloud-based OCR is no longer just an IT decision — it’s a broader strategic choice. OCR (short for Optical Character Recognition) is the technology that converts scanned or photographed text into data...
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...
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...
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....
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 Complete Guide to Optical Character Recognition - Background
You constantly work with scanned documents, PDFs, text images, and other image-based materials. Optical Character Recognition (OCR) is a technology that converts these visual documents into machine-readable text so they can be searched, processed, indexed, or...
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...
AI and Humans Together How to Transform the Organization
AI isn’t here to steal jobs — it is here to take the boring stuff off your plate. According to the Edelman Trust Barometer, more people are worried that machines will replace their jobs through automation....
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....
Common Pitfalls to Avoid in an AI Pilot - Background
Based on our experience at Omnit, we know that AI offers efficiency, insight, and new avenues for innovation. However, for many organizations, these goals never advance beyond the pilot phase. Projects get stuck, confidence declines, and...