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What is Structured vs. Unstructured Data? Key Differences, Uses, and Challenges

Data is classified into two main types: structured and unstructured. Structured data refers to organized information that follows a predefined format and resides in fixed fields within a record or file. Structured data is easily searchable, organized, and can be stored in databases. Unstructured...

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The Role of Artificial Intelligence in Knowledge Management

What’s the role of AI in knowledge management? Read on for key use cases, examples, and the most frequently asked questions today. Table of Contents Keeping Content Up to Date Connecting Info from Different Sources Helping Reduce Support Costs Improving Information Search Frequently Asked...

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The Top 8 Types of Knowledge Management Tools and Why They’re Useful in 2025

Managing your entire organization’s knowledge is critical to your success. Whether you’re capturing employee expertise, organizing documents, or delivering training, knowledge management tools provide the infrastructure to keep your information accessible and up-to-date. But which...

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Upcoming Knowledge Management Conferences in 2025

Knowledge management (KM) is changing dramatically due to its role in supporting artificial intelligence (AI) solutions. It’s never been a better time to attend knowledge management conferences and get a sense of how KM is changing across industries.  Here’s a breakdown of the knowledge...

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The Era of Generative AI in Enterprise: Discover the Winning Edge

How is generative AI used in enterprises? Visualize a daunting scenario: An intelligent system that can compose music, generate compelling articles, or write code based on learned data patterns is rapidly becoming a reality. With generative AI fundamentally changing the game, enterprises that...

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The IT Leader’s Guide to Preparing Your Data for Generative AI

Businesses have long been increasingly inundated with an unprecedented volume of data. The challenge now is not just about storing ample data but managing, classifying, and transforming this structured and unstructured data into fuel for the engine of business. The critical role of data...

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Seamlessly Link Structured and Unstructured Data with a Knowledge Graph

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,...

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The Evolution of AI: Introducing Autonomous AI Agents

ChatGPT and other generative AI platforms are transforming how we access information, answer questions, and even create and interpret art. But there are limitations when it comes to performing more complex tasks like planning an event, or chaining multiple steps together like conducting buyer...

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How Vectors in Machine Learning Supply AI Engines with Data

Artificial intelligence engines need data to learn and operate, but the data you and I find meaningful is foreign to machines. Machines need data translated to their preferred language: math. This conversion happens with the help of vectors. What are vectors in machine learning? Vectors are...

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Attention Mechanism: Everything You Need to Know

At the core of human cognition is the concept of “attention,” a mechanism that allows us to focus on particular elements of our environment while filtering out others. This concept has inspired a transformative feature in deep learning models: the attention mechanism. By emulating the way humans...

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Zero-Shot vs. Few-Shot Prompting: Comparison and Examples

Whenever you interact with a large language model (LLM), the model’s output is only as good as your input. If you offer the AI a poor prompt, you’ll limit the quality of its response. So it’s important to understand zero-shot and few-shot prompting as you can use these techniques to get better...

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LLM Evaluation Metrics for Reliable and Optimized AI Outputs

As the deployment of Large Language Models (LLMs) continues to expand across sectors such as healthcare, banking, education, and retail, the need to understand and effectively evaluate their capabilities grows with each new application. Solid LLM evaluation metrics for assessing output quality are...

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