Microsoft Copilot is a powerful AI assistant that helps you streamline tasks and boost your productivity. However, like all generative AI, it occasionally produces “hallucinations,” which are responses that sound confident but may be factually incorrect. In fact, some studies suggest that...
Microsoft Copilot is changing the game for teams looking to get more out of their data. But to really see its full potential, your data needs to be prepared thoughtfully—organized, clean, and secure. Without the right groundwork, you’re setting yourself up for spotty insights, unreliable...
In a world where users expect fast, accurate answers, knowledge base AI chatbots offer an efficient solution. By integrating artificial intelligence with your existing content source, these chatbots help users find information instantly, minimizing the need for human support. This guide will...
Getting your SharePoint data AI-ready isn’t just about flipping a switch. It’s about taking a closer look at the data you already have and setting it up for success. Whether you’re aiming to streamline workflows, unlock actionable insights, boost the user experience, or simply make better use of...
Microsoft Copilot is a powerful tool, but like any AI, it can provide incorrect or misleading answers. To ensure you’re getting the most accurate responses, it’s essential to understand how to prompt Copilot properly in order to prevent bad outputs. Let’s explore how Microsoft...
In a world where users expect fast, accurate answers, knowledge base AI chatbots offer an efficient solution. By integrating artificial intelligence with your existing content source, these chatbots help users find information instantly, minimizing the need for human support. This guide will...
AI knowledge bases are changing the way organizations manage and access information. These AI-powered systems can understand user intent and deliver faster, more accurate results while learning and improving over time. In this guide, we’ll explore how AI knowledge bases work, their key...
A knowledge graph is a structure that connects diverse pieces of information, helping you uncover relationships and insights that might not be immediately apparent. In some cases, you need to bridge two types of data together: structured and unstructured data. In this article, we provide a clear,...
What is Retrieval-Augmented Generation? Retrieval-Augmented Generation (RAG) is a Generative AI (GenAI) implementation technique that is accelerating the adoption of GenAI and Large Language Models (LLMs) across enterprise environments. By enabling organizations to use their proprietary data in...
When it comes to data quality, unstructured data is a challenge. It often lacks the consistency and organization needed for effective analysis. This creates a pressing need to address data quality issues that can hinder your ability to leverage this data for decision-making and innovation. As you...
We rely on data to inform decision-making, drive innovation, and maintain a competitive edge. However, data is not static, and over time, it can undergo significant changes that impact its quality, reliability, and usefulness. Understanding the nuances of these changes is crucial if you aim...
Historically, we never cared much about unstructured data. While many organizations captured it, few managed it well or took steps to ensure its quality. Any process used to catalog or analyze unstructured data required too much cumbersome human interaction to be useful (except in rare...