From Enterprise GenAI to Knowledge Intelligence: How to Take LLMs from Child’s Play to the Enterprise
In today’s world, it would almost be an understatement to say that every organization wants to utilize generative AI (GenAI) in some part of their business processes. However, key decision-makers are often unclear on what these technologies can do for … Continue reading
Data Governance for Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) has emerged as a powerful approach for injecting organizational knowledge into enterprise AI systems. By combining the capabilities of large language models (LLMs) with access to relevant, up-to-date organizational information, RAG enables AI solutions to deliver context-aware, accurate, … Continue reading
Hybrid Approaches to Green Information Management: A Case Study
Today, enterprises have more tools than ever for creating and sharing information, which leads to significant challenges in managing duplicate content. Enterprise Knowledge’s Urmi Majumder, Principal Consultant, and Nina Spoelker, Consultant, presented “Hybrid Approaches to Green Information Management: A Case … Continue reading
Choosing the Right Approach: LLMs vs. Traditional Machine Learning for Text Summarization
In an era where natural language processing (NLP) tools are becoming increasingly sophisticated and accessible, many look to automate text-related processes such as recognition, summarization, and generation to save crucial time and effort. Currently, both machine learning (ML) models and … Continue reading
EK’s Hilger, Tesfaye, Thompson, Majumder, and Nozari to Speak at the CDOIQ Symposium
Enterprise Knowledge will have a significant presence at the 18th annual CDOIQ (Chief Data Officers & Information Quality) Symposium to be held Tuesday – Thursday, July 16 – 18, 2024, at the Hyatt Regency Cambridge in Cambridge, Massachusetts. Joe Hilger, … Continue reading
Maryam Nozari and Urmi Majumder Speaking at the Data Governance & Information Quality Conference (DGIQ)
Enterprise Knowledge’s Maryam Nozari, Senior Data Scientist, and Urmi Majumder, Principal Data Architecture Consultant, will deliver a talk at DGIQ conference on “Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality” on Wednesday, June 5 from … Continue reading
The Role of Semantic Layers with LLMs
In today’s business landscape, Large Language Models (LLMs) are essential tools for driving innovation, streamlining operations, and unlocking new opportunities for growth. A Large Language Model, or LLM, is an advanced AI model designed to perform Natural Language Processing (NLP) … Continue reading
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
Fernando Aguilar Islas and Emily Crockett to Present Webinar on Content Graphs for Personalization
Fernando Aguilar Islas, Data Science Consultant, and Emily Crockett, Content Engineering Consultant, are teaming up with the Content Wrangler, Scott Abel, to present a webinar on March 19th, 2024 from 1-2pm discussing Ontologies, Structured Content, and Knowledge Graphs. Learn how … 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