Content related to Semantic Layer Symposium – Daniel Canter
Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence
Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when attempting to align the capabilities of LLMs with their specific business contexts? These pressing questions underscore the … Continue reading
Crowd-Sourcing Data Governance
If you don’t remember The Little Red Hen, a chicken found grain and asked the other farm animals to help throughout the journey of processing that grain. The hen asked if they would plant the seeds, help with the harvest, … Continue reading
Overview of Taxonomies and Artificial Intelligence
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “An Overview of Taxonomies and AI” on January 30th, 2024, in the inaugural webinar of the “Artificial Intelligence webinar series: The promise and the perils,” hosted by the Knowledge & Information Management … Continue reading
Unlocking Dark Data: AI Strategies for Enhanced Data Governance
Wondering how to safeguard your data and mitigate accidental leaks? Dive into our infographic to discover EK’s approach, which incorporates data crawling, pattern matching, and the strategic use of AI and ML models, designed to secure your data and prevent … Continue reading
What Every CEO Needs to Know About Semantic Layers
Recently, we at Enterprise Knowledge have been talking a lot about Semantic Layers, defining what they are, and even what they aren’t. We’ve detailed the various technical components and the business value of each, presented logical diagrams, and identified many … Continue reading
Breaking Down Enterprise AI, Part I: Insight Track
2023 was an incredibly exciting year for artificial intelligence. Several technology trends – distributed computing, transformer models, and large repositories of data – converged to produce powerful generative AI products like ChatGPT and Midjourney. These products have helped generate excitement … Continue reading
What is a Large Language Model (LLM)?
In late November of 2022, artificial intelligence (AI) research and development company OpenAI released ChatGPT, an AI chatbot powered by a Large Language Model (LLM). In the following year, the world witnessed a meteoric rise in the usage of … Continue reading
How to Prepare Content for AI
Artificial Intelligence (AI) enables organizations to leverage and manage their content in exciting new ways, from chatbots and content summarization to auto-tagging and personalization. Most organizations have a copious amount of content and are looking to use AI to improve … Continue reading
Generative AI-Assisted Taxonomy Development for a Global Investment Bank
The Challenge A multinational financial institution with a century-long legacy, celebrated for pioneering financial solutions and shaping the global economic landscape, relied on unstructured data for risk management. With a vast array of risks to consider, and a wealth of … Continue reading
The Role of Ontologies with LLMs
In today’s world, the capabilities of artificial intelligence (AI) and large language models (LLMs) have generated widespread excitement. Recent advancements have made natural language use cases, like chatbots and semantic search, more feasible for organizations. However, many people don’t understand … Continue reading