From Video to Insight - Background
Most organizations operate with a blind spot: they measure outcomes but don’t see what actually happens within the process. Activities are carried out, decisions are made, and work progresses — yet this layer largely remains unseen....
When Activity Recognition Meets Reality - Background
In many operational settings, companies track results — but they have limited insight into how those results are achieved. Manual activities, small process variations, and human interactions often remain invisible in traditional data systems, yet these...
Deepfake - Background
A video in which a well-known executive appears to say something they never actually said. A photo that places someone in a situation that never happened. In the past, these manipulations were relatively easy to detect...
When Information Overload Becomes an Investment Risk - Background
In asset management, clarity isn’t everywhere. Chief Investment Officers and portfolio managers operate under constant pressure: volatile markets, demanding boards, and increasing regulatory scrutiny. Investment decisions must be explainable, defensible, and immediate. In many investment organizations,...
When Every Claim Becomes a Reputation Risk - Background
Every claim decision carries financial, legal, and reputational consequences. For operational leaders in the insurance sector, the pressure is constant: increase speed, control costs, detect fraud earlier — while keeping decisions fair and defensible. Yet in...
When Every Claim Becomes a Reputation Risk - Background
If you lead a contact center — or your company operates one — you already know this: performance breaks down because clarity is missing at the decisive moment. In high-volume environments, fragmented information slows decisions, increases...
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....
From Observation to Operational Evidence
When operational decisions rely on reported data, reality can quietly drift out of sight. In environments where physical processes run continuously, even small gaps between records and reality can accumulate into systemic blind spots. This business...
When AI Agents Talk to Each Other_ What Moltbook Really Shows - Background
Screenshots of AI agents talking to each other — without any human involvement — have been spreading quickly in tech circles. The platform behind these conversations is called Moltbook, and it is often described in dramatic...
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...
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...