Shelf Blog
Get weekly updates on best practices, trends, and news surrounding knowledge management, AI and customer service innovation.
The 3 Challenges for Businesses Considering AI Solutions
The world is changing because of artificial intelligence (AI), but for many businesses it's not clear how we get from the way things ...
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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...
Supercharge AI and ML with Synthetic Data
Synthetic data is artificially generated data that imitates real-world data without using actual information. It is generated through algorithms and statistical techniques to capture the same...
The Rise of Generative Question Answering with LLMs
Businesses face an overwhelming amount of data rich with insights to unlock. Traditional keyword-based searches have long been the go-to method for wading through this informational deluge, but as...
How Data Hydration Can Unlock the Potential of Your Data
Data hydration, the process of enhancing and enriching existing data, has become increasingly vital in the era of big data and artificial intelligence. In this article, we explore the concept of...
GANs Explained: How Generative Adversarial Networks Work
As artificial intelligence continues to push boundaries and redefine industries, Generative Adversarial Networks (GAN) have emerged as a game-changer. GANs are transforming the way we generate...
Metadata Unlocks AI’s Superpowers
For the successful implementation of Artificial Intelligence (AI), the significance of properly integrating content metadata in AI with Large Language Models (LLMs) cannot be overstated. LLMs, such...
Text Becomes Insight with Vectorization
Computers are great at understanding numbers, but not with words. In order to help machines understand, manipulate, and produce words, we have to convert those words to numbers using a process...
Master NLP History: From Then to Now
From its inception in the theoretical halls of mid-20th century academia to the sophisticated, AI-driven algorithms of today, the evolution of NLP has not only advanced our understanding of language...
Demystifying Content Chunking In Artificial Intelligence and Enterprise Knowledge Management
We encounter content chunks every day. Think of a recipe. A recipe contains content components like a title, a list of ingredients, cooking times, pictures of food, and instructions that contain...
Natural Language Processing – A Deep Dive for IT Leaders and Data Scientists
Natural Language Processing (NLP) is an interdisciplinary field blending computer science, artificial intelligence, and linguistics, aimed at enabling computers to understand, interpret, and engage...
The Future of Knowledge in Customer Service
We live in an on-demand world. Customers expect every product delivered to the doorstep, every service ordered online, and any information they seek immediately available at their fingertips. When...
Challenges and Considerations in Natural Language Processing
The field of Natural Language Processing (NLP) has witnessed significant advancements, yet it continues to face notable challenges and considerations. These obstacles not only highlight the...