Shelf Blog: Knowledge Management

The development of artificial intelligence has not only added new features to knowledge management; it has, in fact, transformed the very purpose of these tools. Previously, such tools stored and organized documents for people. But their new purpose is to prepare knowledge so that AI agents can...

Despite the rapid development and adoption of artificial intelligence, not all knowledge management platforms are AI-ready. Most were designed to store and organize documents, but specifically for human use. When AI agents or Copilots are directed to them, they access everything inside:...

Most enterprise companies don’t have a knowledge problem. They just have a problem accessing that knowledge. This is a mistake most companies make: you know the answers exist, but they’re scattered all over the place. When a new employee joins your team, they don’t know where to look. A support...

Many people mistakenly believe that knowledge management is some system you can simply buy and turn on. But in reality, it is a complex, continuous, cyclical process: capture knowledge, organize it, store it, share it, use it, update it, and repeat the cycle. However, if even one step is skipped...

A traditional knowledge management system operates on a single principle: store and wait. One person creates an article, another searches for it using keywords and the article may or may not surface . AI-based knowledge management systems work differently. Unlike traditional systems, it doesn’t...

Ask ten people what knowledge management is, and you’ll most likely get ten different answers. And it’s not even that people simply don’t know what it is, it’s just that everyone has their own idea of it. Some think it’s a process, some think it’s a wiki, some say it’s a business, a platform, a...